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Fluid and ion transfer across the blood–brain and blood–cerebrospinal fluid barriers; a comparative account of mechanisms and roles

Stephen B. Hladky, Margery A. Barrand

Fluids and Barriers of the CNS · 2016 · Review

doi:10.1186/s12987-016-0040-3

Abstract

are similar. The key similarities and differences of the two interfaces are summarized.

Shown for reading. Its publisher allows quoting it, not republishing it.

Full text

From PubMed Central, U.S. National Library of Medicine, as current on Oct 19, 2026. Paragraph numbers are ours, so an answer can point at one.

Background

The inorganic ions in brain fluids ultimately derive from the peripheral circulation. They are delivered across either of two major blood–brain interfaces: the choroid plexuses situated within the ventricles and the blood–brain barrier lining the blood vessels dispersed throughout the brain parenchyma (see Fig. 1). The relative contributions of these two interfaces to production of brain fluids and to regulation of their ionic compositions are the key issues discussed in this review.

Overview of locations and functions of the choroid plexuses and the blood–brain barrier

The choroid plexuses constitute the interface between blood and cerebrospinal fluid (CSF) in the ventricles. There are four such plexuses protruding into the ventricles, one in each of the lateral ventricles, one in the IIIrd and one in the IVth ventricle (see Fig. 1a). As seen in the light microscope each choroid plexus has a frond-like shape with many villi, each with a layer of cuboidal epithelial cells overlying blood microvessels of the fenestrated type (see Fig. 1c). Even on this scale the epithelial layer appears to have a large surface area. Furthermore the apical brush border and basolateral in foldings make the actual membrane area of the epithelial cells much greater still (see). As described in detail by Cserr and more recently by Damkier et al. the epithelial layer has all the hallmarks of a “leaky” secretory epithelium designed to produce a large volume of nearly isosmotic fluid.

The blood–brain barrier is in some ways a more complicated structure than the choroid plexus. It separates blood from interstitial fluid (ISF) and cells of the brain parenchyma. The barrier, so-called because it greatly restricts movements of many substances between brain and blood, consists of the endothelial lining of almost the entirety of the brain microvascular network (see Fig. 1b). However, the transfers the barrier permits are at least as important as those it hinders. It is ideally placed both to deliver substrates for brain cell metabolism and to remove the corresponding wastes. It is also important in regulating ISF ionic composition.

The lining of the brain microvessels differs from that of peripheral vessels in that the endothelial cells are joined together by tight junctions that greatly restrict free, paracellular movement of substances (see Fig. 1d), the exceptions to this being the parts of the vasculature supplying the choroid plexuses and the circumventricular organs. The permeability of the blood–brain barrier to ions such as Na+ and Cl− is low, not much larger than the permeability of many cell membranes (see Sect. 4). While the low passive permeability to these ions as judged from unidirectional tracer fluxes may reflect primarily paracellular movements, the net fluxes can still reflect transcellular transport through the cells (see Sect. 4.3.4). The endothelial layer is surrounded by a basement membrane and pericytes all closely enveloped by astrocyte (glial) endfeet (see Fig. 1d). The pericytes have a contractile function (see Sect. 2.3) as well as a role in inducing and maintaining barrier properties. There are also nerve cells close by within the parenchyma. This whole assembly is called the neurovascular unit. All the various components of the neurovascular unit may influence fluid movement into and out of the brain but the major elements to be considered are endothelial cells and astrocytes.

The astrocyte endfeet are connected together by gap junctions but the clefts between them are not sealed by tight junctions and thus are routes for passage of water and solutes including markers as large as horseradish peroxidase between the basement membrane and the interstitial spaces. However, there is evidence that movement through the clefts can be slow compared to that along the basement membrane and that, at least under some circumstances the endfoot layer can present a major barrier to transport between the blood and the brain parenchyma. The extent to which the astrocytes and pericytes cover the endothelial tube has been calculated by Mathiisen et al. from serial sections of the CA1 layer of rat hippocampus. They found that the clefts available for diffusion away from the tube to the interstitium occupy only 0.3% of the surface area.

Consideration of the structures and locations of the choroid plexuses and the blood–brain barrier suggests that they fulfil different roles in fluid regulation. The choroid plexuses are well defined structures located within the ventricles surrounded by the fluid they secrete. This positions them to provide the brain as a whole with a fluid of controlled composition that gives buoyancy and provides a route for removal of wastes by bulk flow of fluid through the routes of outflow. Bulk movement of CSF between brain and spinal cord also allows compensation for changes in blood volume within the skull during the cardiac and respiratory cycles (see discussion in). The blood–brain barrier is a much more diffuse structure with parts of it close to every cell in the brain (see Fig. 1b). This is essential to its primary role in supplying O2, CO2 and glucose and removing waste products as the distance that these substances have to diffuse between blood and brain cells must be kept small (see Sect. 2). Whether it has a secondary role in providing fluid to the brain remains controversial (see Sect. 4.1).

This review is mainly concerned with transport of Na+, K+, Cl−, HCO3 − and water across the barriers. However consideration is also given in Sect. 2 to transfer of glucose, CO2, O2 and amino acids. The mechanisms for ion and water transport are discussed in Sects. 3 for the choroid plexuses and 4 for the blood–brain barrier. Sections 5 and 6 consider the roles of transport across both interfaces in the regulation of [K+] and [HCO3 −] in ISF and CSF. Sect. 7 summarizes the main points of comparison between the two interfaces. Finally Sect. 8 indicates the major conclusions concerning the roles of the choroid plexuses and the blood–brain barrier and highlights areas of inadequate knowledge for future investigation.

Previous reviews

The present review is the second part of a survey of work on the extracellular fluids of the brain. The first part considered the basic processes, including secretion, filtration, diffusion and bulk flow; the use of markers (e.g. radiotracers or fluorescent molecules) to follow fluid movements; the pathways available for transfers within the brain; and recent work on the patterns of flow.

There have been a number of reviews of the topics considered in this the second part. Cserr’s “The Physiology of the Choroid Plexus” and Bradbury’s “The Concept of the Blood–brain barrier” are both still important resources more than 35 years after they were written. Davson and Segal’s book provides encyclopaedic coverage up to the mid-1990s roughly the time when the focus of research shifted from function in vivo towards molecular and cellular mechanisms. Recent, major reviews are available for studies on the choroid plexus, the blood–brain barrier, and the functions of CSF and fluid movements within the brain. Major reviews on the transport of HCO3 − and regulation of brain extracellular fluid pH are cited in Sect. 6.

There have also been a number of reviews of related material not covered in this review including the development of the blood–brain barrier, its structural basis, the extent to which it restricts penetration by a large variety of substances, and the efforts that have been made to circumvent the barrier function. Interested readers are directed to.

Notation and conventions for expressing concentrations, partial pressures and other values

Throughout this review, enclosing the symbol for a substance in square brackets, e.g. [HCO3 −], is used to stand for the concentration of that substance as a molality defined as the number of moles per kilogram of solvent, i.e. with units mol kg−1. However when concentrations have been reported as molarities, mole per litre of solution with units mol l−1 the same symbol is used. Molality is preferable when referring to intracellular concentrations or concentrations in plasma but when referring to the extracellular fluids of the brain, which are almost protein free, either is suitable. Subscripts are used to indicate location, e.g. [HCO3 −]CSF is the concentration of HCO3 − in cerebrospinal fluid. A lower case “p” preceding the symbol for a substance means partial pressure, e.g. pCO2, is the partial pressure of CO2. Finally, unless otherwise stated values are scaled to those that would be found in a human with a 1400 g brain.

Transfers of water, O2, CO2 and major nutrients between blood and brain parenchyma

The largest transfers of substances into or out of the brain parenchyma are those of water, glucose, O2, CO2 and to a lesser extent amino acids taken collectively. Most of the fluxes of these substances must be across the blood–brain barrier because the blood flow to the choroid plexuses is insufficient to supply or remove the amounts needed. Although blood flow per unit mass of tissue is much greater in the choroid plexuses than in cerebral cortex, ~9.8-fold in dogs and rabbits and 2.8- to 5.5-fold in different studies in rats, the mass of the combined choroid plexuses is only a small fraction of that of the brain as a whole, 0.0012, 0.0029 and 0.0021 in dog, rabbit and rat. Thus the proportion of cerebral blood flow that goes to the choroid plexuses is less than ~1% while the percentages of water, glucose and O2 entering the brain are much larger as described in Sects. 2.1, 2.2 and 2.3.

Water movement at the blood–brain barrier and choroid plexuses

Measurements with tritiated water have shown that 70–90% of the water molecules in the blood perfusing the brain cross the blood–brain barrier and enter the brain tissues in a single pass ([chapter 4 in ],). If cerebral blood flow is 800 ml min−1 then brain blood water flow, the water flow along the capillaries, is perhaps 0.85 × 800 ml min−1 = 680 ml min−1 (the rest is made up of solutes such as haemoglobin). Of that ~0.7 × 680 ml min−1 = ~476 ml min−1 = ~685 l day−1 enters the brain, mostly across the blood–brain barrier. This is 37,700 mol/day! However, (see Fig. 2) everywhere in the brain the influx is balanced by an almost equal efflux primarily because the very large concentration of water, ~55 M, is almost the same on the two sides of the interfaces. A figure 1000-fold smaller than the unidirectional movement, i.e. 685 ml day−1 rather than 685 l day−1, would be a high estimate of the total net movement of water into the brain per day across the blood–brain interfaces (see Sects. 3.2 and 4.1 and section 2.6 in). The mechanisms for water movement are considered in Sects. 3.4.2 and 4.3.6.

There have been repeated attempts to base descriptions of CSF production and reabsorption on measurements of tracer fluxes of water but these have been ill conceived. As explained in detail elsewhere (section 2.6 of) and illustrated in Fig. 2, unidirectional tracer fluxes of water far exceed net fluxes. These measurements have never been sufficiently accurate that they could be used to determine either the magnitude or the site of net flux of water (or flow) into or out of any tissues including those of the CNS.

O2 and CO2 transfer at the blood–brain barrier and production of metabolic water

About 90–95% of the metabolism of ~0.6 mol of glucose day−1 in the brain is complete oxidation consuming ~3.3 mol day−1 of O2 and producing the same daily amounts of CO2 and water. The diffusion distances to and from the capillaries are small and O2 and CO2 easily diffuse across the membranes of the blood–brain barrier endothelial cells (see item (3) in Sect. 6.4.2, and for early references). Thus they can be transferred to and from the blood driven by their concentration gradients.

Importance of neurovascular coupling for O2 and CO2 transfer at the blood–brain barrier

Increased neuronal activity in the brain is associated with increased blood flow, an example of functional hyperaemia common to all tissues. In the brain this is called neurovascular coupling. Blood flow in the brain can be increased by dilation of small arterioles, which are the principal site of resistance, but also more locally by dilation of capillaries brought about by changes in pericyte activity. How the activities of these effectors are coupled to neural activity and the nature of the signals involved have been the subjects of much discussion.

During neuronal activity more O2 enters the brain parenchyma to supply part of that needed for increased metabolism (see for references). The amount of O2 stored within the brain is limited and even the resting rate of metabolism can deplete it within seconds. However, delivery of O2 in the blood is strongly “buffered” by haemoglobin in the red blood cells, and it may be that even normal blood flow is adequate to support the O2 requirements of activity. There is little evidence that falls in pO2 either in arterial blood or within the brain are directly involved in stimulating the increased cerebral blood flow until these falls are substantial. Similarly relatively large changes in [glucose]plasma appear to have no effect on neurovascular coupling. By contrast it is clear that even small increases in pCO2 of arterial blood or decreases in pH in CSF can produce marked vasodilation and decreases in pCO2 or increases in pH can produce vasoconstriction ( and clinical consequences). This cerebrovascular reactivity is closely related to the oldest hypothesis of the mechanism of neurovascular coupling: that it results from the effects of acidic products of metabolism, e.g. CO2 and lactic acid, and the associated fall in pH.

Suggestions that the control of blood flow is actually not just in response to changes in pO2, pCO2 and pH began with the observation that the increase in blood flow reflects, at least in part, arteriolar dilation at some distance upstream along the blood vessels from the site of O2 consumption and CO2 release. (The involvement of astrocytes in neurovascular coupling may provide the mechanism for the signals to spread from the immediate site of the neural activity to the arterioles.) It was also observed that local pO2 hardly changes or can actually increase, presumably as a consequence of the increased flow, rather than decrease as would be required for it to be the cause. Furthermore the change in pH during neural activity while clearly present was too slow to account for the initiation of the increased blood flow and initially it could even be in the wrong direction. However, it should not be forgotten that based on the evidence from the effects of changes in arterial pCO2 and CSF pH, the fall in pH that occurs with sustained neuronal activity is likely to have an effect to increase blood flow.

There is a strong teleological argument in favour of a more complicated mechanism of control than simple feedback. With simple feedback based on monitoring pCO2 (or pH of the ISF, see e.g.), in order to stimulate increased blood flow, the pCO2 would have to be increased throughout the period of increased neural activity (see Fig. 3a). Better regulation can be produced if nervous activity releases other mediators. This can be either directly from neurons or, as now thought to be more important, from astrocytes. These mediators affecting the smooth muscle of arterioles and pericytes provide a feed forward system in which the increased activity is signalled to the blood vessels independently of changes in pCO2 and pH (see Fig. 3b).

There are many possible regulatory signals (S2 in Fig. 3b) that can couple nerve activity to vasodilation and there is now an extensive literature, comprehensively reviewed elsewhere, on the roles of astrocytes, elevation of Ca2+ in their endfeet and the release of arachidonic acid metabolites, NO and K+ in neurovascular coupling.

While it is clear that changes in blood flow are important in the supply of O2 and removal of CO2, they are thought to be less important for supplying glucose (see Sect. 2.4.1). However, recent attention has been given to the consequences of redistributing blood flow and it has been found that this can change the proportions of both O2 and glucose extracted from the blood. Variations in blood flow are unlikely to have significant effects on fluid secretion at the blood–brain barrier. This is because the net rates of ion and water transfers are relatively small compared to the rates of delivery in the blood, i.e. blood flow is not limiting.

Glucose

Glucose consumption by the brain amounts to ~0.6 mol day−1 almost all of which must cross the blood–brain barrier. The blood flow to the brain, ~800 ml min−1 delivers ~400 ml min−1 of plasma containing ~5 mmol l−1 glucose, which equates to ~2 mmol min−1 = 2.9 mol day−1, which corresponds to extraction of ~0.6/2.9 × 100% = ~20% of the arriving glucose. Experimentally measured extractions for physiological [glucose]plasma vary between 15 and 35%.

Glucose transport is stereo-selective with that of d-glucose (usually called just “glucose”) being very rapid while that of l-glucose is slow, comparable to that for other polar solutes like sucrose and mannitol. Glucose transport across the blood–brain barrier is passive but mediated by specific, saturable GLUT1 transporters expressed in both the luminal and abluminal membranes of the endothelial cells. Substantial amounts of the transporters are also found within the endothelial cell cytoplasm, presumably on vesicular membranes acting as a reservoir (see below).

The influx of glucose from blood to brain exceeds the efflux from brain to blood leaving a relatively large inward net flux, about 30% of the measured influx (see e.g.). At a simple level this would be expected from a lower [glucose] in ISF than in blood plasma. However, if the fluxes were by simple diffusion across a single barrier, the measured concentrations, ca. 1 mM or even less in ISF and at least 4 mM in blood plasma, would predict efflux less than one-fourth of influx rather than the roughly two-thirds observed. At least part of the explanation is that the fluxes occur by a saturable mechanism (as reviewed in) such that the unidirectional fluxes increase less than linearly with concentration, hence the difference between influx and efflux will not be as large as for simple diffusion across a single barrier. This will have the effect of limiting the impact on the brain of changes in [glucose]plasma.

An additional factor is that glucose after crossing the endothelial cells may enter astrocyte endfeet rather than diffusing away through the clefts between them. At least some of this glucose can be transported back out of the endfeet and across the endothelial cells contributing to the efflux.1 At least three scenarios for transport from blood into the brain can be envisaged (see Fig. 4): (1) water or solute may cross the endothelium, diffuse (or be moved by flow) within the basement membrane parallel to the endothelial surface until it reaches a cleft and then diffuse or flow outwards through the cleft; (2) it could cross the endothelium and basement membrane and then enter an astrocyte endfoot; or (3) it could enter the basement membrane both from the endothelial cells and from the endfeet and leave by way of the clefts. Combinations of these are also possible. Which of the above occurs will depend upon the transporters available and on the concentrations within the basement membrane. Scenarios 1 and 3 will be considered later in conjunction with transport of Na+, Cl− and water (see Sect. 4.6.4) and scenario 2 for transport of K+ (see Sect. 5). Transport of glucose is likely to be an example of scenario 2.

Part of the concentration gradient for glucose between blood and ISF leads to a net flux across the endothelial cells into the basement membrane and part must lead to transport from the basement membrane into the rest of the brain. Barros et al. calculated for glucose that in order for even the full concentration difference between blood and interstitial fluid to drive diffusion at the observed rate through the clefts between the endfeet, the clefts would need to occupy at least 0.2% of the surface area. Thus in view of the finding that only 0.3% of the area is cleft (see Sect. 1.1), barely more than the minimum they calculated, it is likely that much of the glucose enters the endfeet via GLUT1. This transporter is prominently expressed in the endfeet (see also footnote 1). The extent to which glucose is metabolized to lactic acid within astrocytes rather than being passed on directly to the neurons is beyond the scope of this review. It has been the subject of a large literature; see for references.

Glucose supply to the brain is increased during sustained neural activity. Barros et al. discuss the evidence that this requires stimulation of both hexokinase within the brain and transport across the endothelial cells (see also footnote 1). Part of the increase in transport may reflect redistribution of GLUT1 from the cytoplasm to plasma membranes in the endothelial cells. Redistribution of blood-flow is also thought to affect the proportion of glucose extracted from the blood.

Although this review is primarily concerned with fluid movement and transport of inorganic ions, glucose has been discussed here because so much is transported and the principal glucose carrier at the blood–brain barrier, GLUT1, may allow movement of water.

Amino acids

Likewise transfer of amino acids needs to be mentioned because amino acid efflux from the brain into the endothelial cells is primarily Na+-coupled and the Na+ flux involved is larger than, and in the opposite direction to, the net flux needed to support fluid secretion. As a historical note, the first demonstration of functional polarity of the blood–brain barrier was for amino acid transport.

The blood–brain barrier greatly restricts influx of some amino acids including the neurotransmitters glutamate and glycine, but allows rapid, passive but saturable influx of many others including all those classified as essential. For instance from the data in, it is evident that more than 30% of phenylalanine arriving in the blood enters the brain. Smith and Stoll list the influx rates in perfused dog brains observed from mixtures of amino acids at concentrations only a bit less than normal. The total rate of influx for those listed, 72 nmol min−1 g−1 (which scales to 145 mmol day−1 for a 1400 g human brain), is balanced by a nearly equal total efflux.2 This efflux is driven uphill across the abluminal membranes of the endothelial cells from the brain by the coupled movement of Na+. As mentioned above, this Na+ movement is in the opposite direction to that for net secretion of Na+ into the brain.

Most, perhaps almost all, of the Na+-linked amino acid transporters are on the abluminal side extracting amino acids from the brain (but see and 3). The net Na+ flux into the endothelial cells by these Na+-linked transporters must be balanced by a net Na+ flux out of the cells via the Na+-pump. These fluxes cannot be ignored when considering net Na+ flux across the barrier, see Sect. 4.6.1.

Transfers of glucose and amino acids across the choroid plexuses

Transport of glucose and amino acids also takes place across the choroid plexuses. For glucose the net flux can be estimated as roughly 1.4 mmol day−1 from the rate of formation of CSF in the ventricles, ~400 ml day−1 and (glucose) in the secretion, ~3 mM. This is much less than the net flux of glucose across the blood–brain barrier, about 600 mmol day−1. The passive glucose transporter, GLUT1 is expressed in the choroid plexuses with greater amount found in the basolateral membrane than in the apical membrane. This suggests that it may be primarily involved either with supply of glucose for metabolism within the epithelial cells or with another function such as increasing the water permeability of the basolateral membrane (see Sect. 3.4.2).

The transport of amino acids from blood can be detected from the differences in their concentrations in the arterial and venous blood supplying and draining the choroid plexuses. Transport from CSF into blood can be detected by the appearance in venous blood of tracers added to CSF in the ventricles. Extraction of amino acids from blood can be substantial although just as for glucose the total amounts of amino acids entering the brain are much smaller via the choroid plexuses than via the blood–brain barrier.

Fluid secretion by the choroid plexuses

The primary function of the choroid plexuses is to produce CSF with the rate of fluid secretion being <~20% of the blood plasma flow to the plexuses in rats (see e.g.) and perhaps a lower percentage in humans.4 The roles of the choroid plexuses in supplying micronutrients, vitamins, Ca2+ and Mg2+ and in actively excluding or removing other substances are also important (for reviews see e.g.). Similarly, the plexuses play a critical role in development of the brain and the provision of growth factors (see and references therein).

Composition of fluid secreted by the choroid plexuses

The composition of recently formed CSF can be determined, at least approximately, by direct measurements of the fluid close to the choroid plexuses. The composition of this fluid is similar but not identical (see Table 1) to that of CSF in the ventricles, i.e. a slightly hyperosmotic (perhaps by 1–5 mOsmol kg−1) solution of Na+, K+, Cl−, HCO3 − and small amounts of many other solutes like Mg2+, HPO3 2−, glucose and amino acids (see Table 2.5 in and for further discussion).

Rate of fluid secretion across the choroid plexuses

The newly secreted CSF leaves the region of the choroid plexuses and emerges from the ventricles into the cisterna magna. The time averaged outflow from the ventricles can be measured by ventriculo-cisternal perfusion and corresponds at least approximately to the rate of production of fluid by the choroid plexuses, 350–500 ml day−1 (see section 4.2 in and). It is notable that this rate also corresponds within the fairly wide experimental error margins of the measurements to the total rate of CSF production as determined by continuous collection of the formed CSF from the lumbar sac (for discussion see and section 3.1.3 in). The contribution of fluid secretion by the blood–brain barrier to the measured rates of CSF production is considered in Sect. 4.1.

Mechanisms of fluid secretion by the choroid plexuses

The mechanisms of secretion by the choroid plexuses have been reviewed recently and comprehensively by Damkier et al. so evidence will be considered only for specific points that remain controversial or where the account differs from that in Damkier et al. It is now generally accepted that the choroid plexuses are the main source of CSF in the ventricles and that the process producing CSF is primarily secretion (i.e. driven by energy supplied from metabolism of the epithelial cells) rather than filtration (driven by energy obtained from the pressure, concentration and potential gradients imposed from outside the epithelial cells). Readers interested in the history of these issues should consult the discussions by Cserr, Davson and Segal, Damkier et al. and Spector et al..

Four of the simplest arguments that CSF production occurs largely as a secretion by the choroid plexuses arise from considering (a) the composition of the CSF, (b) the effects of inhibitors, (c) the effects of gene silencing, and (d) data from in vitro models of the epithelial layer. (a) The composition of CSF is not that of an ultrafiltrate. (b) The net production of CSF can be inhibited by drugs that interfere with cellular metabolism or with the coupling of metabolism to ion transport, e.g. mitochondrial uncouplers, the Na+-pump inhibitor ouabain, and the carbonic anhydrase inhibitor acetazolamide. (c) It has been shown that silencing of genes for specific transporters expressed strongly in the choroid plexuses, but weakly elsewhere, reduces the secretion rate. (d) Choroid plexus epithelial cells when cultured as monolayers in vitro have been shown to secrete fluid robustly.

Comparisons with kidney proximal tubules

Parallels can be found between fluid transport by the choroid plexuses and that by the renal proximal tubule: the fluids transported are both nearly isosmotic with plasma and the rates of transport per gram of tissue appear to be comparable. The principal role of each of these epithelia is to transport a substantial quantity of fluid leaving behind the “undesirables” and there are other parallels in their functions. At a mechanistic level the Na+-pumps in both are located on the side towards which there is a net fluid flow but there are substantial differences in their handling of small ions including HCO3 −, the transport of glucose and the role of paracellular transport.

It is by no means certain how water transport is linked to that of solutes in either the choroid plexus (see) or the proximal tubule. However, in the latter there is clear experimental evidence from studies in which net fluxes of both NaCl and water were eliminated, that the epithelium can maintain a gradient of NaCl with the water coming as close as can be determined to osmotic equilibrium.5 This does not prove the absence of active transport of water, but it does demonstrate that the rate of any such active transport (including secondary active transport via solute transporters) is not sufficient compared to osmotically driven water movements to produce a measurable gradient of osmolality. The evidence for the choroid plexus is not so clear cut because all available data come from experiments in which net fluxes of water and solutes were not eliminated and thus there were complications resulting from unstirred layers. Such complications can give the appearance of active transport of water when there is none. This is considered further in footnote 5.

Transcellular and paracellular routes for water transfer

Osmotically driven water movement across a choroid plexus requires routes that have sufficiently high water permeability. That AQP1 water channels are important in the secretion process and thus that transcellular routes are important may be inferred from the observation that in AQP1 knock-out mice the rate of choroid plexus secretion is 25% lower than that in normal mice, with an 80% lower water permeability of the apical membrane in which most of the AQP1 is expressed. However, there are far fewer aquaporins present on the basolateral side and for the transcellular route the water must cross this membrane as well. The sidedness of the AQP1 distribution remains puzzling. One possibility is that the water permeability of the basolateral membrane is increased by the presence of a protein or proteins other than AQP1. One candidate is the glucose carrier GLUT1 (see Sect. 2.5). This particular carrier has been shown to produce water permeability in membranes and is highly expressed in the basolateral membrane of the choroid plexus.

It has not been established that the osmotic gradients and water permeability are large enough to account for the water fluxes across the choroid plexus without some form of active transport of water. It is very likely, almost inevitable, that there will be some secondary active transport of water by coupling water movements to those of hydrophilic solutes including ions in their respective transporters. However, there remains considerable scepticism that such internal coupling can move as much water as required or achieve the final result of a nearly isosmotic secretion (see e.g.).

As discussed by Damkier et al. water flux across the choroidal epithelium might also occur paracellularly passing through tight junctions and lateral spaces between the cells. The permeability of tight junctions to water or solutes is determined by the profile of proteins that they contain, in particular the specific forms of claudin, a family of transmembrane proteins. The claudins most highly expressed at the choroid plexuses are claudin-1, -2 and -3 together with -9, -19, and -20. Claudin-2 has been especially well studied and shown to form narrow (0.65–0.75 nm), water-filled cation-selective (PNa/PCl of 6–8) paracellular pores, selectivity being conferred by a negatively charged site within the pore. Claudin-2 is a typical component of leaky epithelia such as proximal tubule and choroid plexus that have high water-transport rates. Experiments by Rosenthal et al. have shown that the presence of claudin-2 in the tight junctions of an otherwise tight epithelium is associated with enhanced water flux and increased paracellular Na+ flow. During development, the expression of claudin-2 relative to other claudins increases in the choroid plexuses. As noted by Strazielle and coworkers this parallels the increasing rate of CSF secretion. It is highly relevant that the profile of claudins expressed in the tight junctions between endothelial cells at the blood–brain barrier is different from that found between epithelial cells in the choroid plexuses and reflects the tighter barrier of the former.

Expression of ion transporters

The whole profile of transporters expressed in the choroid plexus has been the subject of major transcriptome studies comparing adult and embryonic tissue.

Studies on the expression of specific transporters at the RNA and protein levels in adults have been reviewed recently. It has been found in these studies that ion transporters are expressed in choroid plexus epithelial cells at levels sufficiently high to allow clear detailed cellular localization by immunohistochemistry as illustrated in Fig. 5. Figure 6 indicates the transporters present together with the ions they transport. From the known properties of these transporters together with careful measurements of electrical potentials and currents and from the results of techniques such as gene knockout, it is possible to describe the main features of solute transport involved in secretion as shown in the figure and described in Sect. 3.6. More extensive discussion and detailed referencing can be found in reviews by Brown et al. and Damkier et al..

Summary of mechanisms for the principal species transported

The following sections are based on the scheme shown in Fig. 6, which is derived from the description and figures presented by Damkier et al.. Damkier et al. should be consulted for discussion of the supporting evidence. The ion concentrations in choroid plexus found by Smith et al. and Johanson and Murphy are compared with those in CSF and plasma in Table 1. Of particular note are the relatively high [Na+]CPcell and low [K+]CPcell.

Pathways of Na+ transport

As with other secretory epithelia, the main driving force for fluid movement across the choroid plexus is provided by the Na+, K+-ATPase or Na+-pump. This actively transports Na+ out of the epithelial cells into CSF so reducing intracellular [Na+] and providing a gradient for Na+ influx via other transporters. Na+ entry from the blood side is thought to occur primarily by the Na+, HCO3 − cotransporter, NBCn2/NCBE. Some Na+ leaves the cell towards the CSF via NBCe2 (sodium bicarbonate electrogenic transporter number 2) driven outward by the coupled outward flux of 3 HCO3 − ions. (The free energy available from movement of 1 Na+ down its concentration gradient into the cell can carry 2 HCO3 − inwards whereas it takes movement of 3 HCO3 − out of the cell to provide the free energy needed to shift 1 Na+ out of the cell.) The direction of the Na+ flux via NKCC1 is not known with certainty (see Sect. 3.6.4): if the concentrations shown in Table 1 are correct it is outward. Although Na+-linked amino acid transporters are present in the apical membrane they are ignored here because their relative contribution to Na+ transport is thought to be small.

Na+ can also cross the epithelial layer via the paracellular route through tight junctions. The likely direction of the net flux from CSF to blood is indicated in Fig. 6. The claudins present in these tight junctions are expected to allow passive movement of small univalent cations and water. Thus there should be observable tracer fluxes of Na+ in each direction but with a net paracellular flux that is smaller than the transcellular movements. Paracellular fluxes are considered further in Sect. 3.6.4 in connection with K+ transport. Studies on the relative sizes of the unidirectional versus net fluxes across the choroid plexuses as a whole have produced discordant results, but it is likely that as in other leaky epithelia the unidirectional flux from blood to CSF substantially exceeds the net flux.6

So long as water moves easily enough to allow newly secreted CSF to be nearly isosmotic (slightly hyperosmotic with plasma, see Sect. 3.4), regulation of the rate of net Na+ transport is almost equivalent to regulation of the rate of CSF fluid secretion (see discussion of electroneutrality and constant osmolality in Sect. 6).

Is an amiloride-sensitive ion channel involved in Na+ transport at the choroid plexus?

Evidence for the presence of an amiloride-sensitive Na+ channel at the choroid plexus is conflicting. In an early study Davson and Segal observed that amiloride could inhibit CSF production. However, this was seen only when it was infused at high concentration (~1.5 mM) directly into a carotid loop. Subsequently Murphy and Johanson also detected inhibition with amiloride but noted explicitly that the concentration of amiloride needed (near 120 µM) was larger than required for specific inhibition of Na+ channels. They concluded that amiloride was acting by inhibiting a Na+/H+ exchanger rather than an epithelial Na+ channel, ENaC.

Histochemical techniques have also been used to look for ENaC channels in the epithelial cells. Leenen et al. reported the presence of alpha, beta and gamma subunits of ENaC in choroid plexus using antibodies developed by Masilamani, Knepper et al.. However, these subunits appeared to be primarily in the cytoplasm and the apical brush border rather than the basolateral membrane where they would have been expected in order to mediate Na+ entry. In experiments to assess channel function, Leenen et al. measured 22Na+ uptake (which they called retention) into choroid plexus epithelial cells and found a decrease following application of benzamil, an amiloride derivative that is more selective at inhibiting ENaC. Based on these results they suggested that ENaC in the apical membrane might be involved in a regulated backleak of Na+ from CSF into the epithelial cells, which could be important in the control of secretion.

Others however have reported evidence against a role for ENaC. Millar and Brown, using the methods described in, could see no evidence of an amiloride-sensitive current. Their unpublished experiments showed that amiloride at a relatively low concentration of 10 µM (but which is still 50–100 fold greater than the expected IC50 for inhibition of ENaC) had no effect on the residual current (current in the absence of K+ and with reduced Cl− currents): the conductances measured in the absence and presence of amiloride were 10.5 ± 1.4 pS/pF and 9.5 ± 0.9 pS/pF (n = 11) respectively, ( and Brown, personal communication). Furthermore Praetorius using his own antibodies could find beta and gamma subunits of ENaC in the choroid plexus but he was unable to confirm the presence of the alpha subunits needed for formation of ENaC channels.

Regardless of the resolution of this matter, there is no evidence that ENaC provides a basolateral route of entry for Na+ that would contribute towards secretion of fluid. The effect of amiloride observed at high concentration might conceivably be on the permeability of the paracellular pathway as suggested by Wright. This possibility is discussed in more detail for the blood–brain barrier in Sect. 4.3.4.

Pathways of HCO3− and Cl− transport

The most important anions in CSF secretion are HCO3 − and Cl−. HCO3 − enters the choroid plexus epithelial cells via the transporter known as either NBCn2 or NCBE (see Fig. 6). If, as indicated by the solid arrows, this transporter operates with stoichiometry of 1 Na+ and 1 HCO3 − moving inwards the name NBCn2 (sodium bicarbonate neutral transporter number 2) is appropriate. Alternatively if, as indicated by solid and dashed arrows, 1 Na+ and 1 HCO3 − move inwards and 1 H+ and 1 Cl− outwards the name should be NCBE (sodium driven chloride bicarbonate exchanger) which effectively loads the cell with 2 HCO3 − for each Na+ transported. As discussed in, the rat gene when expressed in mouse NIH-3T3 fibroblasts behaves as Ncbe while the human gene when expressed in Xenopus laevis oocytes behaves as NBCn2. It may be that the mode of operation is determined by the type of cell in which the gene is expressed or by the species of the gene. If it is the type of cell that is important, then expression of the human gene in human cells may produce NCBE, which is favoured by the present functional evidence (see Sect. 3.6.3). As shown in Fig. 7 with the transporter in the NCBE mode the H+ exported can be thought of as originating from CO2 conversion catalysed by carbonic anhydrase to H2CO3, which dissociates to H+ and HCO3 −. Outside the cell the exported H+ reacts with HCO3 −, again catalysed by carbonic anhydrase, leading to the formation of CO2. The net effect of one cycle of NCBE in the direction shown together with movement of CO2 would be influx of 1 Na+ and 2 HCO3 − and efflux of 1 Cl−.

HCO3 − leaves the epithelial cell into CSF via NBCe2 as indicated in Fig. 6 and possibly via anion selective channels. The ratio of the amounts of HCO3 − and Na+ in CSF is close to ~1:6, but that in newly secreted CSF is somewhat higher (see and for further references). Coupling of Na+ entry via its major route to import of 1 or even 2 HCO3 − ions per Na+ ion means that far more HCO3 − enters the cell on the basolateral, blood side than appears in CSF. As indicated above the rest is thought to be recycled across the basolateral membrane via AE2, which mediates exchange of HCO3 − for Cl−.

Regulation of HCO3 − transport across the choroid plexus and its interrelations with H+, CO2 and Cl− transport are considered in Sect. 6.

The transport of Cl− is inextricably linked to that of HCO3 − because the only known route for net entry of Cl− to the epithelial cells from the blood is an exchange of Cl− for HCO3 − via AE2 (see Fig. 6). In the scheme shown, there is a ready supply of HCO3 − for exchange as the major route for Na+ entry is by cotransport with HCO3 −. If the cotransporter is NBCn2, then a large proportion of the HCO3 − that enters would be recycled by AE2 and thus the combined effect of the NBCn2 and AE2 would be entry mainly of NaCl with a smaller amount of NaHCO3. If alternatively the cotransporter is NCBE, then AE2 must exchange a much larger amount of HCO3 − for Cl− as it must transport enough Cl− to supply both the amount secreted and the amount transferred out of the cells across the basolateral membrane by NCBE. A small amount of Cl− returns to the blood via KCC3. The combination of DIDS (4,4′-diisothiocyanostilbene-2,2′-disulfonic acid), which inhibits AE2, and bumetanide, which inhibits NKCC1, reduces 36Cl− uptake into isolated choroid plexus by 90%.

Cl− efflux from the epithelial cells appears to involve both transporters and channels. On the apical side Cl− is likely to leave the epithelial cells to the CSF by cotransport with K+ mediated by KCC4 and via anion channels that have been observed functionally but whose molecular identities are as yet unknown (see). NKCC1 has been shown to mediate large tracer fluxes in both directions. If the ion concentrations in CSF and within the epithelial cells are those shown in Table 1, then NKCC1 must also be a route for net outward Cl− flux (see Sect. 3.6.4).

The indirect coupling of Cl− fluxes to those of Na+ via the combination of NBCn2/NCBE and AE2 provides an explanation for the observation that net Cl− transport across the epithelium can be against its electrochemical gradient.

Role of carbonic anhydrase in HCO3− transport

Carbonic anhydrase is important in many secretory/absorptive epithelia both for hydration of CO2 to form H2CO3 and for the reverse reaction. In the choroid plexus the soluble CAII isoform is known to be present within the epithelial cells and there are also membrane bound isoforms present on both basolateral and apical membranes. Carbonic anhydrase is very likely to be involved somehow in CSF secretion because secretion is inhibited at least 50% by acetazolamide and the only established action of acetazolamide is to inhibit carbonic anhydrase (possible effects on AQP4, but not on the AQP1 found in the choroid plexus, are considered in 7). How carbonic anhydrase is involved in CSF secretion is less clear.

From consideration of the transporters shown in Fig. 6, if NBCn2/NCBE imports NaHCO3 without export of HCl, i.e. it operates as NBCn2, hydration/dehydration is not required for transport of HCO3 − and there is no obvious role for carbonic anhydrase in this transport. However, if NBCn2/NCBE works both to import HCO3 − and to export H+, i.e. it operates as NCBE, then there would be an obvious role for carbonic anhydrase because hydration and dehydration are needed to supply and remove the protons at an adequate rate (see Fig. 7). Thus the available functional evidence favours operation as NCBE rather than NBCn2. A controversial alternative possibility is that carbonic anhydrase is present at the membranes of the epithelial cells as part of transport metabolons (complexes of two or more proteins at least one of which is a transporter). If so, and carbonic anhydrase binding to the transporter modifies the transport function, then acetazolamide might by binding to the carbonic anhydrase inhibit the function of the transporter, accounting for the reduction in secretion.

Pathways for K+ transport

The activity of the Na+-pump loads K+ into the epithelial cells from the CSF. All other routes for K+ transport mediate net K+ efflux or in the case of NKCC1 the direction of transport is finely balanced (see below and for references and discussion). Almost but not quite all of the K+ that enters the epithelial cells from the CSF is recycled to the CSF via some combination of KCC4, K+ channels and NKCC1 (see below), all of which are known to be present in the apical membrane (see Fig. 6).

The only known route of transfer of K+ across the basolateral membrane is KCC3 which mediates a net efflux of K+ from epithelial cells towards blood, i.e. [K+]in[Cl−]in/([K+]out[Cl−]out) > 1. This indicates outward transport since ratios > 1 indicate a net outward driving force while those <1 indicate inward. Net efflux across the basolateral membrane implies that the net flux across the epithelium by the transcellular route must be towards blood. This being so, because newly secreted CSF contains K+, this ion must get into CSF across the choroid plexus by another route. This is presumed to be the paracellular pathway with K+ passing through the tight junctions and lateral spaces between the epithelial cells. The conditions to allow this are met because the tight junctions in the choroid plexus are leaky to monovalent cations and the electrochemical gradient for K+ will drive K+ in the direction of the CSF.

NKCC1 in the apical membrane has been shown to mediate large tracer fluxes of Rb+. However, while studies in isolated choroid plexus have found that it mediates net efflux, other studies focussed on epithelial cell volume strongly imply that NKCC1 mediates net influx. The results may all correctly reflect the circumstances in which they have been measured because the net driving force, derived from the concentrations of Na+, K+ and Cl−, is finely balanced and NKCC1 could be transporting in either direction. For the concentrations in Table 1, the ratio is 2.6, which indicates outward transport.

It has been suggested that the presence of both the Na+-pump and NKCC1 in the apical membrane allows an uncoupling of Na+ and K+ fluxes. Thus increased [K+]CSF could stimulate flux of K+ from CSF into the choroid plexus cells (or inhibit that in the opposite direction) by both of these transporters while increasing Na+ efflux from the cells via the pump but favouring Na+ influx via NKCC1. This would allow K+ transport to be changed without disturbing the net transport of Na+. It is, however, unlikely that this is the complete story because raised CSF K+ concentration is also likely to change the net flux of K+ through KCC4 and K+ channels in the apical membrane (see Fig. 6).

The [K+] of newly formed CSF is remarkably stable in the face of changes in plasma [K+] with the CSF concentration remaining at ~3.5 mmol kg−1 as plasma concentration increases from 4 to 9 mmol kg−1. As discussed in Sect. 5 how this is achieved is only partially understood.

Electrical current and potential difference across the choroid plexus

Ion transfer via each of the known transporters in the basolateral membrane is electrically neutral and no ion channels have been localized to this membrane. If this is correct and no charge carrying mechanisms have been missed, there can be no net transcellular current and the conductance of the epithelium is determined by the permeability of the paracellular pathway through the tight junctions (see Sect. 6.4 and associated footnote for further discussion).

Ion transfer across the apical membrane via many of the transporters and channels is associated with net movement of charge. Thus the rates of transfer across this membrane should be sensitive to the apical membrane potential and the value of the potential difference across this membrane should be the value that preserves electroneutrality of the cells. Electroneutrality is discussed in Sect. 6.

Ion and fluid transport at the blood–brain barrier

The primary functions of the blood–brain barrier are to allow ready access to the brain parenchyma of O2 and nutrients such as glucose and essential amino acids and ready removal from the brain of waste products like CO2, while at the same time providing a barrier to the movement of substances that should not be allowed to enter or leave the brain. The blood–brain barrier also plays the principal role in long-term regulation of the ionic composition of ISF. Although astrocytes are very important in short-term control of ISF ionic composition, a process sometimes called physiological buffering, they cannot set or determine the long-term composition (see e.g. Sect. 5).

Unfortunately, it has not been possible to determine the composition of the fluid, if any, secreted by the blood–brain barrier by direct sampling (compare Sect. 3.1). However, if the fluid secretion rate were known, one could infer the composition because the net fluxes of solutes and water across the blood–brain barrier plus the water produced by brain cell metabolism must replace the fluid that is lost by net outflow from the parenchyma after allowance for metabolic changes (see sections 1.4 and 4 in). The fluid lost is a nearly isosmotic solution with composition very close to that of CSF. Thus the net fluid transferred across the blood–brain barrier into the brain must be either a hyperosmotic secretion or a hypoosmotic absorbate to make the net product, including the ~60 ml day−1 of metabolic water, nearly isosmotic (see Sect. 4.7 and 8).

Evidence for and against fluid secretion by the blood–brain barrier

The most widely quoted value for blood–brain barrier secretion rate, 10–20% of that by the choroid plexuses, was based on washout of markers from the brain parenchyma with half-times of 6–12 h (see e.g. and discussion in sections 3.2 and 4.1.1 of). However, this estimate has been called into question on two grounds. Firstly, the experiments were conducted under barbiturate anaesthesia, which has subsequently been shown to reduce the washout rate (discussed in section 4.1.1 in). This inhibition by barbiturate would have led towards underestimates of the washout rate by as much as sixfold, and thus, based on washout evidence alone, the blood–brain secretion rate could even be as large as the rate of production of CSF by the choroid plexuses. Secondly, the washout of marker might be caused by fluid arising from a source other than the blood–brain barrier. It has been suggested that such a source may be periarterial influx of CSF into the parenchyma (reviewed in and). This periarterial influx combined with perivenous efflux of fluid was originally proposed to explain data for the distribution of horseradish peroxidase. Recently it has been championed, based on evidence obtained using in vivo imaging of the movements of fluorescent tracers, and has been termed the glymphatic circulation. As discussed at length in the glymphatic hypothesis is intriguing, raises important issues and explains key qualitative features of movements of substances into and out of the parenchyma. However, it is still lacking in both quantitative detail and explanations for some aspects of the data. (For example, what induces NaCl to move from the periarterial spaces, into the interstitium and then into perivenular spaces?) It is premature to describe “the glymphatic circulation” as a proven fact (see for critical views).

The effect of ignoring net periarterial influx of CSF, if it exists, would be to make too large the estimates based on washout data of the secretion rate at the blood–brain barrier (see sections 4.3 and 5 in). No estimates are available for the magnitude of net flows by any perivascular route and thus such flows might account for all or none of the washout of markers. As a consequence of the uncertainties related to the use of barbiturate anaesthesia and to the magnitude of the flow of CSF into the brain parenchyma, other sources of evidence are needed to provide an estimate of the rate of secretion of fluid across the blood–brain barrier.

There are six types of evidence that can be used in arguments for or against blood–brain barrier secretion of fluid. The various structures and flows discussed are indicated schematically in Fig. 8. Observation: if fluid is perfused through the cerebral aqueduct more comes out than goes in. Interpretation: the extra fluid that crosses the ependyma lining the aqueduct must have originated somewhere and the obvious suggestion is the blood–brain barrier in the surrounding parenchyma. However, consideration needs to be given to the possibility that it might be recirculation of CSF entering the parenchyma from the subarachnoid spaces via periarterial pathways. Observation: 3–9 months after destruction of 80–90% of the choroid plexuses in rhesus monkeys CSF production, measured by ventriculo-cisternal perfusion, is as much as 60% of the normal rate (see also and sections 3.1.1 and 3.2 in). These results have never been convincingly explained on any basis other than extrachoroidal secretion of fluid. This evidence coincides with the general clinical experience that it is difficult to alleviate hydrocephalus using choroidectomy alone which partially explains the ascendancy of shunt placement as a treatment but see. Interpretation: there is a source of CSF in addition to the choroid plexuses.A third type of evidence has arisen from studies of the distribution and flow of CSF in hydrocephalus. These studies have used measurements of ventricular volumes, perfusion techniques to measure production and absorption of CSF and more recently phase contrast magnetic resonance imaging (PC-MRI) to monitor CSF flow. In the interpretation of these it is necessary to consider the sites of CSF outflow as well as those of CSF production. The arguments are summarized in the following paragraphs. For elaboration see Fig. 8, 9 and previous discussion in sections 4.2.1.1–4.2.2.2 of. Observation: when the cerebral aqueduct is blocked, indicated at (i) in Fig. 8, CSF escapes from the lateral and third ventricles. Interpretation: to do this it must pass by some means other than the cerebral aqueduct to a site for outflow. There is independent evidence that such routes exist, at least for sucrose. Observation: when the cisterna magna and connections from the IVth ventricle to the subarachnoid space are blocked following to kaolin injection, there is diversion of CSF from the IVth ventricle into the central canal of the spinal cord leading to alternative sites of outflow. Interpretation: because in kaolin hydrocephalus the outflow originates from the IVth ventricle, this model cannot be used to describe the swelling of the lateral and IIIrd ventricles in non-communicating hydrocephalus in which the aqueduct is blocked (see Fig. 8). Observation: in communicating hydrocephalus there are indications from movements of impermeant markers and from flow measurements by PC-MRI (but see) that there is reversed net flow of CSF through the cerebral aqueduct (see Fig. 9). Interpretation: if this is correct, there must be a source of the fluid that flows from the IVth to the IIIrd ventricle. That from the choroid plexus in the IVth ventricle is not enough (see also footnote 9) and the plausible source of the extra fluid is the blood–brain barrier. In addition as in non-communicating hydrocephalus, there must be a route from the lateral or IIIrd ventricles to a site of outflow from the brain. The PC-MRI experiments on net flow in communicating hydrocephalus remain controversial and should be revisited (see section 4.2.2.2 in, and see also footnote 9). Observation: spinal perfusion studies and comparisons of ventriculo-lumbar and cisternal-lumbar perfusions (see Fig. 8) have been used to estimate spinal formation and absorption of CSF. Estimates of spinal CSF formation are in effect based on the dilution of an impermeant marker as the fluid travels the length of the cord while those for absorption are based on the difference between the amounts of marker infused and recovered. In cats, dogs and rhesus monkeys fluid absorption was easily demonstrated but these studies failed to detect spinal CSF formation. Interpretation: these studies put an upper limit on the rate of ~1 µl min−1 which has led to the general view that there is little or no secretion of fluid in the spinal cord. To put these studies into perspective it is necessary to have an estimate of how large the rate of secretion into the spinal cord would be if there were a functionally important secretion across the blood–brain barrier: 200 ml day−1 or 0.1 µl g−1 min−1 is a high estimate of the secretion rate in humans with a 1400 g brain. The mass of the spinal cord of a human is only 35 g, which leads to an estimate of 3.5 µl min−1 for secretion into the spinal cord. The dogs, cats and rhesus monkeys used in the perfusion studies are about 10× smaller than humans which suggests that the secretion rates into the spinal cord would also be much smaller. None of the existing studies looking for secretion of fluid into the spinal cord have been sufficiently accurate to detect the secretion that might be expected. Observation: the tracer influx of Na+ over the entire blood–brain barrier is as large as that across the choroid plexus in rats and rabbits (see Sect. 4.3.2) and is substantially larger than the net flux required for even the largest estimates of blood-barrier fluid secretion rate (see below and Sect. 4.3.5). Tracer efflux has also been measured (see Sect. 4.3.2 and associated footnote) and is similar in size to the influx. Interpretation: the difference between influx and efflux is so inaccurate that it cannot be used in any argument for or against the existence of a net influx of Na+ (and hence fluid secretion). However, because efflux is not clearly smaller than influx, and the Na+ influx is not much greater across the blood–brain barrier than across the choroid plexuses, the net Na+ flux across the blood–brain barrier is likely to be less than the net Na+ flux across the choroid plexus and the same will apply to the rates of fluid secretion. More accurate data are required before this argument can be made quantitative (see Sects. 4.3.2 and 4.3.5). Observation: inhibitors of ion transporters found at the blood–brain barrier reduce the rate of development of focal oedema as if they are inhibiting fluid secretion into the region. Interpretation: it should be borne in mind that these same ion transporters are also found at other sites within the brain and thus the inhibitor effects on fluid accumulation might be indirect. Nevertheless at present it appears that these effects are evidence that there can be secretion across the blood–brain barrier.10

Observation: if fluid is perfused through the cerebral aqueduct more comes out than goes in. Interpretation: the extra fluid that crosses the ependyma lining the aqueduct must have originated somewhere and the obvious suggestion is the blood–brain barrier in the surrounding parenchyma. However, consideration needs to be given to the possibility that it might be recirculation of CSF entering the parenchyma from the subarachnoid spaces via periarterial pathways.

Observation: 3–9 months after destruction of 80–90% of the choroid plexuses in rhesus monkeys CSF production, measured by ventriculo-cisternal perfusion, is as much as 60% of the normal rate (see also and sections 3.1.1 and 3.2 in). These results have never been convincingly explained on any basis other than extrachoroidal secretion of fluid. This evidence coincides with the general clinical experience that it is difficult to alleviate hydrocephalus using choroidectomy alone which partially explains the ascendancy of shunt placement as a treatment but see. Interpretation: there is a source of CSF in addition to the choroid plexuses.

A third type of evidence has arisen from studies of the distribution and flow of CSF in hydrocephalus. These studies have used measurements of ventricular volumes, perfusion techniques to measure production and absorption of CSF and more recently phase contrast magnetic resonance imaging (PC-MRI) to monitor CSF flow. In the interpretation of these it is necessary to consider the sites of CSF outflow as well as those of CSF production. The arguments are summarized in the following paragraphs. For elaboration see Fig. 8, 9 and previous discussion in sections 4.2.1.1–4.2.2.2 of. Observation: when the cerebral aqueduct is blocked, indicated at (i) in Fig. 8, CSF escapes from the lateral and third ventricles. Interpretation: to do this it must pass by some means other than the cerebral aqueduct to a site for outflow. There is independent evidence that such routes exist, at least for sucrose. Observation: when the cisterna magna and connections from the IVth ventricle to the subarachnoid space are blocked following to kaolin injection, there is diversion of CSF from the IVth ventricle into the central canal of the spinal cord leading to alternative sites of outflow. Interpretation: because in kaolin hydrocephalus the outflow originates from the IVth ventricle, this model cannot be used to describe the swelling of the lateral and IIIrd ventricles in non-communicating hydrocephalus in which the aqueduct is blocked (see Fig. 8). Observation: in communicating hydrocephalus there are indications from movements of impermeant markers and from flow measurements by PC-MRI (but see) that there is reversed net flow of CSF through the cerebral aqueduct (see Fig. 9). Interpretation: if this is correct, there must be a source of the fluid that flows from the IVth to the IIIrd ventricle. That from the choroid plexus in the IVth ventricle is not enough (see also footnote 9) and the plausible source of the extra fluid is the blood–brain barrier. In addition as in non-communicating hydrocephalus, there must be a route from the lateral or IIIrd ventricles to a site of outflow from the brain. The PC-MRI experiments on net flow in communicating hydrocephalus remain controversial and should be revisited (see section 4.2.2.2 in, and see also footnote 9).

Observation: when the cerebral aqueduct is blocked, indicated at (i) in Fig. 8, CSF escapes from the lateral and third ventricles. Interpretation: to do this it must pass by some means other than the cerebral aqueduct to a site for outflow. There is independent evidence that such routes exist, at least for sucrose.

Observation: when the cisterna magna and connections from the IVth ventricle to the subarachnoid space are blocked following to kaolin injection, there is diversion of CSF from the IVth ventricle into the central canal of the spinal cord leading to alternative sites of outflow. Interpretation: because in kaolin hydrocephalus the outflow originates from the IVth ventricle, this model cannot be used to describe the swelling of the lateral and IIIrd ventricles in non-communicating hydrocephalus in which the aqueduct is blocked (see Fig. 8).

Observation: in communicating hydrocephalus there are indications from movements of impermeant markers and from flow measurements by PC-MRI (but see) that there is reversed net flow of CSF through the cerebral aqueduct (see Fig. 9). Interpretation: if this is correct, there must be a source of the fluid that flows from the IVth to the IIIrd ventricle. That from the choroid plexus in the IVth ventricle is not enough (see also footnote 9) and the plausible source of the extra fluid is the blood–brain barrier. In addition as in non-communicating hydrocephalus, there must be a route from the lateral or IIIrd ventricles to a site of outflow from the brain. The PC-MRI experiments on net flow in communicating hydrocephalus remain controversial and should be revisited (see section 4.2.2.2 in, and see also footnote 9).

Observation: spinal perfusion studies and comparisons of ventriculo-lumbar and cisternal-lumbar perfusions (see Fig. 8) have been used to estimate spinal formation and absorption of CSF. Estimates of spinal CSF formation are in effect based on the dilution of an impermeant marker as the fluid travels the length of the cord while those for absorption are based on the difference between the amounts of marker infused and recovered. In cats, dogs and rhesus monkeys fluid absorption was easily demonstrated but these studies failed to detect spinal CSF formation.

Interpretation: these studies put an upper limit on the rate of ~1 µl min−1 which has led to the general view that there is little or no secretion of fluid in the spinal cord. To put these studies into perspective it is necessary to have an estimate of how large the rate of secretion into the spinal cord would be if there were a functionally important secretion across the blood–brain barrier: 200 ml day−1 or 0.1 µl g−1 min−1 is a high estimate of the secretion rate in humans with a 1400 g brain. The mass of the spinal cord of a human is only 35 g, which leads to an estimate of 3.5 µl min−1 for secretion into the spinal cord. The dogs, cats and rhesus monkeys used in the perfusion studies are about 10× smaller than humans which suggests that the secretion rates into the spinal cord would also be much smaller. None of the existing studies looking for secretion of fluid into the spinal cord have been sufficiently accurate to detect the secretion that might be expected.

Observation: the tracer influx of Na+ over the entire blood–brain barrier is as large as that across the choroid plexus in rats and rabbits (see Sect. 4.3.2) and is substantially larger than the net flux required for even the largest estimates of blood-barrier fluid secretion rate (see below and Sect. 4.3.5). Tracer efflux has also been measured (see Sect. 4.3.2 and associated footnote) and is similar in size to the influx. Interpretation: the difference between influx and efflux is so inaccurate that it cannot be used in any argument for or against the existence of a net influx of Na+ (and hence fluid secretion). However, because efflux is not clearly smaller than influx, and the Na+ influx is not much greater across the blood–brain barrier than across the choroid plexuses, the net Na+ flux across the blood–brain barrier is likely to be less than the net Na+ flux across the choroid plexus and the same will apply to the rates of fluid secretion. More accurate data are required before this argument can be made quantitative (see Sects. 4.3.2 and 4.3.5).

Observation: inhibitors of ion transporters found at the blood–brain barrier reduce the rate of development of focal oedema as if they are inhibiting fluid secretion into the region. Interpretation: it should be borne in mind that these same ion transporters are also found at other sites within the brain and thus the inhibitor effects on fluid accumulation might be indirect. Nevertheless at present it appears that these effects are evidence that there can be secretion across the blood–brain barrier.10

From the in vivo evidence and the arguments considered above, there is a strong but still far from conclusive case that the blood–brain barrier normally secretes fluid. While the amounts secreted across the blood–brain barrier and choroid plexus may be of the same order, the blood flows from which they are derived differ by almost 100-fold. It is thus not at all surprising that arterio-venous concentration differences for impermeant substances can be measured for the choroid plexuses but not for the blood–brain barrier.

Net fluxes of inorganic ions across the blood–brain barrier

The net transfers of inorganic ions across the blood–brain barrier are small. These long-term average net fluxes can be calculated if the net rate of fluid loss from the parenchyma is known. Taking for example 200 ml day−1 (towards the upper end of currently plausible guesses) it is possible to calculate the size of the ion transfers that would be entailed. The fluids leaving the parenchyma are thought to have the concentrations of Na+, K+, Cl− and HCO3 − and total osmolality similar to those in CSF. On this basis the net transfer of Na+ across the blood–brain barrier is only 0.15 mol l−1 × 0.2 l day1 = 30 mmol day−1. This is substantially less than the Na+ movement into the endothelial cells associated with amino acid reabsorption, 145 mmol day−1 (see Sect. 2.4.2). Therefore the endothelial cells of the blood–brain barrier are certainly capable of active transport of sufficient Na+ to support secretion at this rate. Furthermore the small size of the net ion transport entailed in fluid secretion explains the “heroic efforts” needed to detect the ion fluxes and the expression of the transporters that mediate them.

As will be described in the following sections, all the molecular components needed for secretion of ions and fluid are present at the blood–brain barrier. In addition there is an energy source which could drive secretion as the number of mitochondria in the endothelial cells of the blood–brain barrier is relatively high, sufficient to occupy 5–10% of the cell volume. What is lacking is conclusive evidence that the transporters are appropriately organized and function together so as to achieve a net secretion of fluid. For a recent, emphatic statement of the view that the blood–brain barrier secretes very little, if any, fluid see but see also Sect. 4.3.3 for a critique of part of the basis of that view.

Caveat: while most of this section is written as if net secretion does take place across the blood–brain barrier, it must be kept in mind that this has not been proven.

Hydrostatic pressure gradients cannot be responsible for significant fluid movement across the blood–brain barrier

Hydrostatic pressure differences could, at least in principle, drive fluid movements between blood in the microvessels and ISF as indeed they do between blood and peripheral tissues. Such a mechanism has been proposed variously to explain movements of fluid either into or out of the brain (for references see). However, there is a large difference between microvessels in the brain and those in the periphery in that the former have much lower permeability to Na+ and Cl− (see Sect. 4.3.2). Thus any pressure forcing water across the blood–brain barrier would leave solute behind and wash solute away on the brain side. The developing solute concentration difference would produce an osmotic pressure sufficient to stop water flow long before the concentration difference would become sufficient to drive the solute across the barrier. This is in complete contrast to the situation for capillaries and venules in peripheral tissues. The permeabilities to Na+ and Cl− are there so large and the resulting differences in [Na+] and [Cl−] so small that the osmotic pressure differences resulting from them are much smaller than the hydrostatic and colloid osmotic pressure differences. Net fluid movements across peripheral microvessel walls are well described by the Starling mechanism in which transfers of water and small solutes are driven by differences in the hydrostatic and colloid osmotic pressures. At the blood–brain barrier there must be transport of solutes with water following either by simple diffusion through the lipid bilayers of the endothelial cell membranes or via specific proteins, perhaps GLUT1 (see Sect. 4.3.6,11 and section 2.7 of).

Functional evidence for ion transport at the blood–brain barrier from in vivo (and ex vivo) studies

In vivo techniques have been used to measure tracer influxes of ions into the brain and sometimes with more difficulty tracer effluxes. However, it has not been possible to measure net fluxes. That the transfers are taking place across the blood–brain barrier has had to be inferred from measurements of changes in the content of parenchyma, extracellular plus intracellular, and allowance for exchanges between the ISF and CSF. Discussion of in vivo results for K+ and Na+ are given below. Evidence for movements of HCO3 − is inextricably linked to consideration of pH and discussion is postponed until Sect. 6.

Results mainly concerned with K+ movement

It was established in early studies that [K+]CSF is less than would be the case if it were at equilibrium with [K+]plasma and the potential difference between plasma and CSF. Thus for [K+]plasma = 4.6 mM and a potential difference of 4 mV CSF positive (see Sect. 6.4 and its footnotes), the equilibrium value of [K+]CSF would be 3.9 mM (calculated using the Nernst equation) while the measured value in the cisterna magna is less than 3 mM. Because [K+]ISF is closely similar to or less than [K+]CSF there must be an active process maintaining lower concentrations of K+ in CSF and ISF than in plasma. Bito et al. took these results to imply that K+ must be actively transported from ISF to blood across the blood–brain barrier. However, while such active transport may be the correct explanation, the lack of equilibrium is not enough to imply the existence of a net, active flux of K+ from ISF to plasma. If there is a sufficient net secretion of fluid, including K+, across the blood–brain barrier, then [K+]ISF will be the same as the concentration in the secreted fluid (after dilution with metabolic water), which could easily be lower than in plasma.

The earliest tracer studies on K+ movement established that 42K+ added to blood appears rapidly in CSF but slowly in the brain parenchyma. The long half-time for penetration into brain (10–20 h) results because the K+ content of the brain is very large and the permeability of the blood–brain barrier to K+ is much lower than that of peripheral capillaries. K+ in the blood can enter the parenchyma either across the blood–brain barrier or indirectly by CSF secretion across the choroid plexus followed by diffusion into the parenchyma. A substantial amount may enter via the latter route. In the ventriculo-cisternal perfusion experiments of Cserr it was observed that more 42K+ left the ventricles by diffusion into the parenchyma than by the outflow of CSF. But, nevertheless Katzman calculated from the penetration rates into the parenchyma from CSF and from blood that approximately 4/5ths of K+ entry to the brain was actually across the blood–brain barrier rather than via the choroid plexuses.

Control of [K+]ISF in the face of long-term changes in [K+]plasma was investigated by Bradbury and Kleeman who found that the rate of [K+] influx (measured with 42K+) increased with [K+]plasma as if there were two components of influx, one at a rate independent of [K+]plasma the other proportional to [K+]plasma. At normal [K+]plasma, 3.5–4 mM, the two components were almost equal. Despite the increase in influx, the amount of K+ in the brain showed no variation with [K+]plasma (see Sect. 5). They concluded that “the larger volume of brain tissue relative to that of CSF, and the remoteness of parts of the brain from ventricular or subarachnoid CSF make it extremely unlikely that the control of the [K+]ISF of the brain is secondary to control of the CSF by the choroid plexuses”. Furthermore they noted that maintenance of nearly constant [K+]ISF requires some mechanism for increasing efflux from ISF to blood when [K+]plasma is increased.

The principal proposal for how efflux of K+ is increased is still that presented by Bradbury and Stulcova. Using ventriculo-cisternal perfusion they calculated 42K+ flux from brain to blood from the loss of 42K+ from perfusates with different [K+]. They found that the loss had two components. At low [K+], almost all of the loss was accounted for by uptake into the cells of the parenchyma with little efflux to blood, but as [K+] was increased the calculated rate of K+ efflux increased as a sigmoidal function of [K+]. Ouabain added to the perfusate at 10 µM inhibited the K+ efflux and lower [Na+]CSF increased it. All of these findings are consistent with efflux of K+ from brain to blood being via the Na+-pump, and are reminiscent of the situation in red blood cells where the pumping rate is a sigmoid function of external [K+] and is inhibited by ouabain and external [Na+]. Activation of the Na+-pump by external K+ in isolated cerebral microvessels has been shown to occur over the range of [K+] encountered in ISF.

Bradbury, Segal and Wilson found that reducing [K+]ISF by perfusing the subarachnoid space with K+ free solution, produced a 50% increase in the amount of 42K+ from plasma that accumulated in the parenchyma over a 2 h period. They suggested that over 2 h [42K+]ISF may have increased sufficiently for there to be a substantial efflux of 42K+ from the brain which would be mediated by the Na+-pump. Because the relation between pump rate at the blood–brain barrier and [K+]ISF is sigmoidal in the relevant range of concentrations, decreasing [K+]ISF would decrease the pump rate for 42K+ which would increase the accumulation of 42K+ in the brain. Difficulties with this explanation and other possibilities are considered in 12.

From the data from many sources tabulated by Bradbury (Table 8.1 in) the values for K+ permeability were generally about 0.5–0.7 ml h−1 g−1. (The data are expressed as the PS product, i.e. the product of permeability and area of barrier, usually per gram of tissue.) Keep et al. noted that K+ permeability in the adult rat would be inadequate to support a net influx of K+ in the foetus sufficient for brain growth. They found that the blood–brain barrier K+ permeability in rat foetus was much larger (2.5 ml h−1 g−1). Smith and Rapoport measured entry of tracer K+ into regions of parenchyma far from the ventricles and hence not initially affected by entry via the choroid plexuses and CSF. They found permeabilities similar to the earlier values. They also compared influx into parenchyma and into CSF from which it can be concluded that for K+ the blood–brain barrier route is the dominant route of entry into brain (see discussion for Na+ in the next section).

In a meeting abstract Ennis et al. reported that 1 mM ouabain reduced 86Rb+ influx into in situ perfused rat brains by about 50%. If as expected ouabain could only reach the luminal side of the blood–brain barrier from the perfusate this result argues that Na+-pump activity is present in the luminal membrane. Furthermore this route accounts for roughly half of the entry of K+ on this side of the endothelial cells (see Sect. 4.4.1 for further discussion of luminal Na+-pumps). This result contrasts with the premise that most of the K+ entry across the luminal membrane occurs via NKCC1 (see Sect. 4.5.1). NKCC1 has been localized to the luminal surface both in endothelial monolayers and in vivo (see Sect. 4.4.2). It would be very interesting to know the effect of the NKCC1 inhibitor bumetanide on K+ influx in the in situ perfused brain.

Further results comparing influx of K+ into CSF and the parenchyma and the changes in influx when [K+]plasma is changed acutely or chronically are discussed in Sects. 5.1 and 5.2.

Results mainly concerned with Na+ movement

Davson and Segal measured tracer flux into the brain parenchyma when 22Na+ was added to blood and found that this was not affected by ouabain, acetazolamide, or amiloride all of which had been shown to affect CSF secretion. From this they concluded that entry must be across the blood–brain barrier but that this measured 22Na+ influx did not represent a net flux. The tracer influx calculated from these and additional studies the following year by Davson and Welch is indeed larger than any estimates of net flux that have been made (see Sect. 4.3.6). Unfortunately, they went on to conclude that there is no secretion (or absorption). This conclusion does not follow from their data. To reach any conclusion about the net flux of Na+ and fluid secretion requires measurements of both tracer influx and efflux, these measurements being sufficiently accurate to determine the difference between them. To date this has not been possible.13

Data from many sources for values for Na+ and Cl− permeabilities, 0.08–0.19 ml h−1 g−1, were tabulated by Bradbury (Table 8.1 in). Smith and Rapoport found similar values and noted that following intravenous injection of tracers, the Na+ and Cl− permeabilities of the blood–brain barrier were comparable to those of cell membranes, i.e. much greater than those of lipid bilayers but much smaller than those of leaky epithelia and peripheral capillary walls. The permeabilities to Na+ and Cl− were similar to each other and to that of mannitol.

From their data obtained with rats, Smith and Rapoport calculated the transfer constants for Na+ across the blood–brain barrier into samples of brain parenchyma, k BBB = 2 × 10−5 s−1, and across the choroid plexus into CSF, k CSF = 3.8 × 10−4 s−1. (The transfer constant for a solute is the ratio of the rate of transfer into unit volume of destination to the concentration at the source, which is calculated from experimental data for transfers into the brain or CSF aswhere T is the time allowed for influx.) The substantially larger value of the transfer constant for choroid plexus compared to that for the blood–brain barrier calculated by Smith and Rapoport has been cited as evidence of a “great difference in plasma ion penetration at the two barriers” (see p. 81 in). However, this comparison is misleading. The transfer constants are rate constants for transfers into unit volumes of parenchyma or CSF. The comparison that is more revealing is between the rate for Na+ transfer into the whole parenchyma and rate for transfer into the entire volume of CSF. To obtain the rates for the total transfers it is necessary to multiply the transfer constants by the volumes of the respective destinations, ~1.7 cm3 for the brain and ~0.1 cm3 for CSF and by [Na+]plasma. This gives transfer rates of 3.4 × 10−5 cm3 s−1 [Na+]plasma for the blood–brain barrier and 3.8 × 10−5 cm3 s−1 × [Na+]plasma for the choroid plexuses.

The conclusion from these calculations for rats is that neither the choroid plexuses nor the blood–brain barrier can be ignored when considering influx of Na+ into the brain. Davson and Welch found in rabbits that the time courses for tracer concentrations in brain water and CSF were similar. This implies that in rabbits substantially more Na+ enters the brain via the blood–brain barrier than via the choroid plexuses.

Results from further in vivo studies using inhibitors

The mechanisms that allow influx of Na+ into the brain across the blood–brain barrier have been investigated using inhibitors. Using such an approach Murphy and Johanson confirmed that in vivo the carbonic anhydrase inhibitor acetazolamide inhibits secretion of Na+ at the choroid plexus but does not inhibit 22Na+ influx into brain across the blood–brain barrier. They also showed in contrast to Davson and Segal’s earlier observations that amiloride, which inhibits Na+ transport in many epithelia, did produce a 22% inhibition of Na+ influx at the blood–brain barrier but at a relatively high dose, i.e. that calculated to produce a plasma concentration of 0.12 mM.

Betz, using an intracarotid bolus injection technique, compared Na+ uptakes over a range of [Na+] in the presence and absence of inhibitors. The uptake at a low [Na+], 1.4 mM, was found to have both saturable and unsaturable components. The saturable component was partly inhibited by 1 µM amiloride or 1 mM furosemide, which inhibit different Na+ transport mechanisms. These results suggested the presence of two distinct saturable transport systems. The amiloride-sensitive component was thought from its apparent K D (no inhibition at 0.1 µM and maximal at 1 µM) to be an ion channel. The furosemide-sensitive component was thought to be a Na+, Cl− cotransporter. The saturable components could be detected at low [Na+], but they could not be seen in tracer influx measurements conducted with more physiological [Na+], e.g. 140 mM.

Ennis, Ren and Betz sought to improve the characterization of Na+ influx using an in situ perfused brain preparation that allowed uptake to continue for 10 min from solutions containing 140 mM Na+. Despite the previous results described above showing domination of the unsaturable component at 140 mM Na+, using this later technique they found about 25% of the uptake was via a saturable mechanism that could be inhibited completely by 25 µM dimethylamiloride, an amiloride derivative selective for Na+/H+ exchangers such as NHE1 or NHE2. These NHEs are now known to be expressed in brain endothelial cells (see Sect. 4.4.2). Why this component could be seen in these experiments but not the earlier experiments may be explained by the possibility that the perfused brains were acidotic. It is known from in vitro experiments with brain endothelial cells (see Sect. 4.5.2) that NHE activity is strongly activated at low intracellular pH. Ennis et al. found that neither bumetanide, an inhibitor of Na+, K+, Cl− cotransporters, at the high concentration of 250 µM nor hydrochlorothiazide, an inhibitor of Na+, Cl− cotransporters, at the high concentration of 1.5 mM had any effect on tracer Na+ influx into the brain. This bumetanide result is consistent with an earlier result from Smith and Rapoport that the rate of 22Na+ tracer entry into the brain across the blood–brain barrier was the same at 25 and 95 mM Cl−.

Transcellular versus paracellular routes for Na+ and Cl−

It has been possible to inhibit K+ tracer fluxes but not those for Na+ across the blood–brain barrier in vivo using ouabain. Why? A possible explanation is suggested by the properties of the tracer influx of Na+ at normal concentrations: (i) it is not blocked by inhibitors of the Na+ transporters known to be present and is not affected by [Cl−]plasma (see Sect. 4.3.3); (ii) it is unsaturable and (iii) it is much larger than any possible net flux of Na+ across the barrier (see Sect. 4.3.5). These are the properties expected for transport by a paracellular route. Such transport: (i) would be independent of any of the transporters involved in the transcellular route and thus not subject to their inhibition, (ii) would be similar to electrodiffusion (diffusion of ions when there are both concentration and electrical potential gradients) which is unsaturable, and (iii) would have a net flux much smaller than influx or efflux because [Na+] is almost the same on both sides of the barrier and the potential difference across it is small, e.g. 4 mV, ISF relative to plasma (see Sect. 6.4 and associated footnotes). For further arguments in favour of a paracellular route for transport see.

Electrodiffusion by a paracellular route would of course imply that there is a paracellular conductance. The conductance of this proposed pathway must not be greater than the total measured conductance of the barrier. Smith and Rapoport calculated that the Na+ and Cl− permeabilities they measured, if occurring by electrodiffusion, would together correspond to an electrical conductance of about 1.6 × 10−4 s cm−2 (or resistance of 8000 cm2). This is less than the best available measurements of barrier conductance, 5–7 × 10−4 S cm−2.

The tight junctions at the blood–brain barrier are among the tightest in the body. This probably reflects the high abundance of claudin-5, which is known to reduce the conductance of tight junctions to low levels. However, apparently there are no estimates, other than from the transendothelial resistance estimates above, of just how low the conductance becomes. For reviews of the properties of the tight junctions see.

There are two further observations in the literature that argue against all of the observed tracer fluxes of Na+ and Cl− across the blood–brain barrier being via a paracellular route. The first concerns fluxes of Na+. In the perfused brain experiments discussed in Sect. 4.3.3 about a third of the unsaturable Na+ influx was inhibited by phenamil, an amiloride derivative thought to be selective for inhibition of epithelial Na+ channels, which may mean that less than half of the Na+ tracer influx is paracellular. However because in these experiments the inhibitor was used at a much higher concentration, 25 µM, than the sub-micromolar concentrations found to block Na+ channels in epithelia, it is conceivable that its effect was not on a channel in the plasma membrane but on some other target. One possibility is that it was acting less specifically to reduce the conductance of the tight junctions and thus affect movement via a paracellular route. Amiloride itself, at concentrations higher than those used to block Na+ selective channels, is known to reduce fluxes through tight junctions (albeit those with much higher conductances) lending support to the idea that phenamil might be doing something similar (compare the discussion of the effects of amiloride in choroid plexus in Sect. 3.6.1.1). Furthermore such inhibition may not be a total block of the permeation pathways, but may instead be a modification of the permeation pathway, for instance by changing surface charge. That type of action may explain why the reported inhibition has been only partial. In summary, this evidence may be consistent with anything up to almost all of the Na+ tracer influx being paracellular.

The second of the observations that can be used to argue against a paracellular route concerns fluxes of Cl−. Tracer influx of Cl− was observed to occur at a rate comparable to that for Na+ but, in contrast to Na+ transport, that for Cl− was reported to be entirely saturable as if it were occurring via transporters and hence transcellular (see Fig. 12). However in interpreting their results, Smith and Rapoport assumed that all of the transport occurred by a single mechanism, either saturable or unsaturable. If it is assumed instead that transport has two components, one saturable and the other unsaturable, the improvement in the fit to their data is statistically significant (see Fig. 10 and 14) and most of the transport is found to be unsaturable. Thus their data are consistent with a large proportion of the tracer flux of Cl− occurring via an unsaturable and hence possibly paracellular route.

In conclusion, evidence that the tracer flux of Na+ occurs by a route that does not involve either the Na+-pump or NKCC1 is very strong but the suggestion that this separate route is paracellular still needs more direct confirmation.

To return to the initial question, there is a simple reason that may explain why it has been possible to demonstrate inhibition of K+ fluxes but not Na+ fluxes using ouabain. The principal mechanisms that load K+ into the endothelial cells, the Na+-pump and NKCC1, have ratios for Na+ and K+ transport of 3/2 and 1/1 (see Sects. 4.6.1 and 4.6.4). By contrast the ratio for a paracellular, unsaturable, electrodiffusion-like route would be expected to be roughly the same as the ratio of the Na+ and K+ concentrations, i.e. approximately 150/4 = ~37. Thus on this basis alone it is plausible that transcellular transport will be a much larger fraction of the total transport of K+ than it is of Na+.

Comparison of Na+ tracer flux, net Na+ flux inferred from tracer data and the net Na+ flux needed to support any significant fluid secretion

It is instructive to compare measured Na+ tracer fluxes (see Sect. 4.3.2) with the net Na+ flux that would occur if tracer flux represented paracellular electrodiffusion and with the net Na+ flux that would occur as part of fluid secretion, e.g. for purposes of illustration at 200 ml day−1 for an adult human. Calculation of net flux via electrodiffusion driven by a potential difference of 4 mV is explained in.15 The net flux as part of fluid secretion is calculated as the secretion rate multiplied by the concentration of Na+ in the secretion. These values are compared in Table 2.

The values in the table illustrate two points. The first and most important point is that tracer influx is much larger than all credible net fluxes calculated from the possible rates of fluid secretion. As noted by Davson and Segal because tracer influx is so much larger than any conceivable net flux, it must to a large extent be balanced by a tracer efflux. The second point is that, if tracer flux occurs by electrodiffusion, then even quite small potential differences across the barrier between ISF and plasma will produce net fluxes comparable in size to those that might support secretion. As discussed in Sect. 6.4 and associated footnote, it is likely that there is a potential, of the order of 3 or 4 mV, ISF positive, across the blood–brain barrier. The Na+ flux driven by this small potential would be in the opposite direction to that required for secretion, but Cl− flux would be in the same direction as the secretion. This could have important implications as the potential difference may become more positive in acidosis. However, there does not appear to have been any study on the consequences of changes in this potential for net transport of Na+, Cl− and fluid across the blood–brain barrier (but see).

To restate the main conclusion from these comparisons, net flux by a mechanism involving active transport and hence presumably transcellular can make a major contribution to total net flux across the blood–brain barrier but at the same time be much smaller than tracer influx (or efflux) measured across the barrier. Inhibition of transport via an active, hence transcellular mechanism may thus not be detectable by measuring tracer influx because the latter occurs primarily by a separate, passive mechanism, presumably paracellular (see Sect. 4.3.4 but also the discussion of results for dimethylamiloride in Sect. 4.3.3).

Results concerned with water transfer

As can be judged from the magnitude of unidirectional fluxes of water noted earlier (see Sect. 2.1), water molecules can easily cross the blood–brain barrier. However, because permeability = flux/concentration and the concentration of water is so high (55 M), permeability to water could still be relatively small despite these large observed unidirectional fluxes. It is thus necessary to ask if the barrier is sufficiently permeable to water that the water component of fluid secretion could be driven by the small osmotic gradients that can exist. Osmotic water permeability (or in different units the filtration constant) has been measured for the blood–brain barrier in rabbits and humans and in both is close to 1.1 × 10−3 cm s−1 (or 1.2 × 10−6 ml min−1 cm−2 mM−1). (See 16 for definitions of some of the constants used to state the permeabilities and their units and for the calculations that are the basis of the comparisons made here). This value, which is consistent with there being large unidirectional fluxes, can be used to calculate the osmotic gradient that would be needed for fluid secretion of 0.1 µl g−1 min−1 (corresponding to 200 ml day−1 in a human). This water flow could be driven by as little as 0.4 mM NaCl concentration difference. As this value is so small, there is no need to propose anything beyond osmotically driven water flux to explain the net flux of water across the blood–brain barrier.

The measured water permeability is well within the possible range of water permeabilities for protein-free lipid bilayers. Thus it is not surprising that no aquaporins have been detected in brain endothelial cells in vivo and their appearance in these cells in culture is thought to be a result of dedifferentiation and not an indication of the normal situation within the brain.

Even though the permeability of the lipid bilayers may be adequate, that of the endothelial cell membranes may be increased further by the presence of transporters and other proteins. In particular GLUT1 is known to be highly expressed in the brain endothelium (see Sect. 2.4.1) and it is known to increase the osmotic water permeability of membranes in other cell types.17

Evidence for the presence of ion transporters able to move osmotically important solutes across the blood–brain barrier

Identification and localization of the transporters involved in the transport of Na+, K+, Cl− and HCO3 − across the endothelial cells of the blood–brain barrier is challenging and has not reached the same level of certainty as at the choroid plexus. This is partly because brain endothelial cells are very different in shape from choroidal epithelial cells (see Fig. 11). Each choroid plexus epithelial cell has an apical membrane that is tightly folded into a brush border and a basolateral membrane that is less tightly but still extensively folded. Furthermore the apical and basolateral regions of the cells are sufficiently far apart to be distinguishable by light microscopy (see Fig. 5). So, when a choroid plexus cell is viewed in section, transporters can be clearly detected at the cell borders both because there is a lot of membrane folded into the border and because there is a high density of transporters in the membranes.

By contrast it is difficult to detect transporters that may be present on endothelial cells of the blood–brain barrier. This is because there are few foldings to increase the amount of membrane at the two surfaces of the cells and the numbers of ion transporters per unit area of membrane may be relatively small (as judged by measured ion fluxes). Furthermore, because the endothelial cells are so thin, under the light microscope it is not possible to distinguish between luminal and abluminal membranes. Despite these difficulties, as discussed in Sects. 4.4.1 and 4.4.2, four ion transporters have been identified and localized primarily to one membrane or the other. These are the Na+, K+-ATPase, a.k.a. the Na+-pump, NKCC1, NHE1 and NHE2 as shown in Fig. 12. There is also evidence for the presence and activity of AE2, NBCn1 and NBCe1. A large number of proteins including transporters have also been identified in brain endothelial cells at the transcript level.

Expression and localization of Na+, K+-ATPase

The key transporter that couples metabolic energy to ion transport at the blood–brain barrier is the Na+-pump otherwise called Na+, K+-ATPase. The presence of this pump in the membranes of blood–brain barrier endothelial cells has been firmly established by evidence from a number of different studies. These studies have been variously based on: ouabain-sensitive release of phosphate from ATP by the Na+, K+-ATPase in isolated microvessels and their isolated membranes, inhibition by ouabain of K+ or Rb+ uptake into isolated microvessels and cultured brain endothelial cells, ouabain binding and the presence of ouabain-inhibited, K+-dependent p-nitrophenylphosphatase (K-NPPase) activity in the abluminal membranes of the endothelial cells in vivo.

Preferential localization of the Na+-pump to the abluminal rather than luminal membrane remains likely but controversial. Most but not all electron microscopy studies using the K-NPPase cytochemical assay have found primarily abluminal localization. This assay, however, has to be carefully controlled because it is clear that it can detect other ATPase activities including that of alkaline phosphatase, which is present in both membranes of the endothelial cells. In all studies using this assay where the necessary control criteria were met, i.e. activity not blocked by alkaline phosphatase inhibitors and either dependent on K+ or inhibited by ouabain, predominantly abluminal localization was observed (see below). However, even in these studies, because the assays were conducted after tissue fixation there is the ever present risk that Na+-pumps were inactivated prior to the assay. Furthermore, it is conceivable that fixation might have affected the pumps in one membrane more than the other. It should be noted that, using the K-NPPase cytochemical assay, differences in localization of the Na+-pumps were observed in the choroid plexus that have never been adequately explained. (For further discussion see 18).

An alternative method for determining the sidedness of pump activity is based on separation of luminal and abluminal membranes by density gradient centrifugation. Betz et al. and Sanchez del Pino et al. detected pump activity in separated membrane fractions using release of phosphate from ATP. Betz et al. found that ouabain-sensitive, Na+- and K+-dependent release by Na+, K+-ATPase was at much higher levels in that fraction identified as being primarily abluminal. Sanchez del Pino et al. using markers for luminal and abluminal membranes found that 75% of Na+, K+-ATPase activity was abluminal and 25% luminal. Furthermore they found that the concentrations of ouabain required for inhibition of activities in the luminal and abluminal membranes differed suggesting that there may be different isoforms expressed on the two surfaces. Three different α subunits and two β subunits of the Na+, K+-ATPase have been reported to be expressed at the blood–brain barrier allowing for the possibility of six different pumps (, but see).

It is interesting to note that in a more recent study of fractionated membranes prepared from porcine brain capillaries and analysed for Na+, K+-ATPase not by its activity but on the basis of its protein sequence (selected/multiple reaction monitoring experiments, SRM/MRM, see e.g.), it was far from clear that Na+, K+-ATPase expression was predominantly at the abluminal surface. Given these conflicting results the exact sidedness of the Na+-pump remains an unresolved issue. At present the balance of evidence supports a predominant localization of the Na+-pumps (at least functionally) in the abluminal membrane (see Sect. 4.3.1 for further discussion). It is important that the distribution of activity be determined in future work since it provides clues as to the direction of movement of Na+ at the blood–brain barrier.

Evidence for expression of other ion transporters at the blood–brain barrier

NKCC1 has been localized primarily to the luminal membrane by O’Donnell and coworkers using bumetanide binding assays with cultured endothelial cells and immuno-electron microscopy with brain slices. They also used immuno-electron microscopy to localize NHE1 and NHE2 primarily but not exclusively on the luminal membrane. NHE1 and NHE2 have been detected by western blot analysis in cultured rat cerebral microvascular endothelial cells, cultured bovine microvascular endothelial cells and freshly isolated rat cerebral microvessels. Other results regarding NKCC1, NHE1 and NHE2 expression have been reviewed by O’Donnell.

HCO3 − transporters have been detected at the mRNA level in brain endothelial cells (see Fig. 13) and at the protein level by fluorescence microscopy on microvessels in brain slices. The relative levels of mRNA compared with the ubiquitous exchanger NHE1 have been measured in brain endothelial cells and compared with those in isolated choroid plexus and renal cortex. Prominent expression of mRNA for the Cl−/HCO3 − exchanger AE2 and the Na+, HCO3 − cotransporters NBCe1 and NBCn1 were detected in brain endothelial cells with lower levels for AE3, NCBE/NBCn2 and NDCBE. NBCn1 was detected in membranes isolated from cultured rat brain endothelial cells by western blot analysis. Immunohistochemistry on relatively thick frozen rat cortical brain slices has shown clear selective labelling of microvessels for AE2 and labelling for NBCe1 and NBCn1. A preliminary report indicates that the same transporters are present in both bovine cerebral microvascular endothelial cells (CMEC) and freshly isolated rat brain microvessels [, and M.E. O’Donnell personal communication]. So far localization of these HCO3 − transporters to one or the other of the brain endothelial cell surfaces has not been achieved.

Detection and location of K+ channels that may be important in blood–brain barrier function is considered in Sect. 4.5.3 alongside the functional evidence for the currents they mediate.

Functional evidence of ion transport at the blood–brain barrier from in vitro studies with brain endothelial cells

The in vivo tracer studies described above demonstrate that small monovalent ions can cross the blood–brain barrier. However, a major hindrance to in vivo studies has been the lack of methods for direct measurements of net fluxes across the barrier and tracer fluxes into or out of the endothelial cells. In vitro systems, i.e. isolated brain microvessels and primary cultures of brain microvascular endothelial cells, allow for better access to the brain endothelial cells under conditions that can be more closely controlled. It is thus possible to measure fluxes into and out of the endothelial cells. Unfortunately at present there is no in vitro preparation that allows determination of net fluxes of Na+, K+, Cl− or HCO3 − across the cells.

Evidence concerning Na+, K+ and Cl− transport

Evidence obtained from early studies on the presence and functions of the Na+-pump in brain endothelial cells in vitro has already been mentioned (see Sect. 4.4.1). Evidence of other transporters for Na+ has also been obtained. Betz used both isolated microvessels and cultured endothelial cells to demonstrate the presence of amiloride-sensitive, saturable processes for 22Na+ entry into the cells. This entry was stimulated by increasing internal Na+ (preincubation in the presence of ouabain) or by increased internal H+. It was inhibited by extracellular Na+, H+, Li+ and NH4 + strongly suggesting the presence of a Na+/H+ exchanger presumably located in the abluminal membrane, this being the side of the endothelial cells exposed to the bathing solution. However, they could not detect any process that could be inhibited by furosemide which impairs Na+, Cl− cotransport including that by NKCC1 (discussed below). In hindsight this is surprising as other groups have seen activity of NKCC1. An unfortunate choice of experimental conditions may have hidden the function of this transporter. In the study by Betz, uptakes were usually determined using buffer with very low Na+, K+ and Cl− concentrations and it is not clear that the effects of furosemide were ever investigated in the presence of ouabain (to inhibit the large K+ influx and Na+ efflux via the Na+-pump) with simultaneously sufficient Na+, K+ and Cl− to produce influx of Na+ and K+ by NKCC1. Nor were the effects of furosemide investigated in the presence of both ouabain and amiloride.

The presence of Na+, K+, Cl−-cotransport in isolated rat brain microvessels was subsequently suggested by the finding of an ouabain-insensitive, Na+- and Cl−-dependent component of Rb+ influx. The cotransport was also seen in cultured bovine brain microvascular endothelial cells by O’Donnell’s group in 1993 and the presence of this activity was soon confirmed by the results of others. It was shown that ouabain, blocking Na+, K+-ATPase, and bumetanide, blocking Na+, K+, 2Cl−-cotransport, inhibited K+ influx into the cultured cells to roughly equal extents and the combination inhibited entry by about 90%. The ouabain-insensitive transport was inhibited almost equally by bumetanide or by omission of either Cl− or Na+ from the bathing solution. With application on just one side of endothelial cells grown on permeable supports, the inhibition of K+ influx into the cells was much greater when bumetanide was applied on the luminal rather than abluminal side. From their observations, Sun et al. inferred that about 90% of the cotransporter responsible was present on the luminal side. The molecular identity of the cotransporter as NKCC1 was established soon after. These results in combination with the immunohistochemistry in brain slices localizing NKCC1 to the luminal membrane of the endothelial cells strongly suggest that NKCC1 plays an important role at the blood–brain barrier.

Unfortunately O’Donnell and colleagues did not test the sidedness of inhibition by ouabain. It would be very interesting to know the proportions of K+ entry inhibited on each side of the cells given that evidence from both expression studies (Sect. 4.4.1) and in situ brain perfusion (Sect. 4.3.1) now suggests that Na+-pumps are present in both membranes.

Though there is substantial information available about transport of Na+ and K+, much less is available about Cl−. It is very likely that in addition to NKCC1 there are channels conducting Cl− that are important for the functions of the blood–brain barrier. It is clear from patch-clamp studies that anion conductances exist (see e.g. which will mediate efflux of Cl− from the cells, but no channels have been identified at the molecular level. Cl− is also inextricably involved in the transport of HCO3 − by AE2.

Evidence concerning HCO3−, Cl− and H+ transport

It is very difficult to study the transport of HCO3 − across the blood–brain barrier either in vivo or in vitro using radiotracers because there is interconversion between HCO3 − and CO2 (see Sects. 6.1 and 6.4.2). However, transport of H+ and HCO3 − into and out of brain endothelial cells can be studied in vitro by monitoring the effects that movements of these ions have on intracellular pH (pHi). This has been done with brain endothelial cells grown in culture using the fluorescent indicator BCECF. In the steady-state in vivo, the rate of transport of HCO3 − out of cells plus the rate of transport of H+ into cells, together called acid loading, must be almost the same as acid extrusion because otherwise pHi could not be stable given that H+ and HCO3 − are the major ions affecting intracellular pH.19 The types of transport thought to be important in movements of H+ and HCO3 − and their classification into acid extruders and loaders and the dependence of the various transporters on presence of HCO3 − are indicated in Fig. 14.

The transporters indicated below the horizontal line in Fig. 14 are functional whether or not HCO3 − is present. The first, i.e. the “leak” is detectable in the presence or absence of HCO3 − and is seen as a slow acidification of the cells in the absence of HCO3 − or presence of DIDS, which blocks many forms of HCO3 − transport, combined with the absence of Na+ (replacement with NMDG+) or presence of EIPA, which blocks NHEs. This acidification is not blocked by replacement of Cl− by gluconate−. It is, however, apparently reversed by replacement of external Na+ by K+, which is expected to strongly depolarize the cells. This suggests that the “leak” is sensitive to membrane potential and independent of HCO3 − and thus plausibly a channel-like permeability to H+. The “leak” acts as an acid loader but at a much smaller rate than the acid loading described below in the presence of HCO3 − and Cl−.

The other type of HCO3 −-independent transporter shown in Fig. 14 is NHE. Na+/H+ exchange has been found in many studies looking at recovery of cells from markedly reduced pHi after additions of acid to the cell interior. However, if rat brain endothelial cells sit in nominally HCO3 −-free Hepes buffered solution, remarkably little happens to their pHi when Na+/H+ exchange is inhibited either by exposure to EIPA, an inhibitor of Na+/H+ exchangers, or even more telling by replacement of all external Na+ with the membrane impermeant cation NMDG+. This suggests that under these resting conditions Na+/H+ exchange occurs at only a very slow rate, comparable to the “leak”, because if it were rapid, pHi would decrease after the exchanger was either silenced by EIPA or reversed by removal of external Na+. This conclusion has been confirmed by studying the rate of Na+/H+ exchange as a function of pHi, which reveals that exchange is markedly activated by low pHi but is almost quiescent at resting pHi.

The transporters indicated above the horizontal line in Fig. 14 are expected to be active whenever HCO3 − is present. Their activities have been revealed primarily by looking at the effects of ion substitutions and transport inhibitors on the rate of change of pHi. With cells initially in a solution containing Na+, Cl− and HCO3 −, Na+ removal from the external solution led to a marked increase in the rate of pHi decrease, i.e. it led to a marked acidification, see Fig. 15a. This effect together with the rate of pH increase produced by removing Cl− (shown in Fig. 15b) and with the block of both of these effects by preincubation with DIDS can be interpreted as existence for two types of activity: Na+-driven, HCO3 −-dependent acid extrusion and Na+-independent, Cl−- and HCO3 −-dependent acid loading (see Fig. 16). In this scheme, acid loading (i.e. HCO3 − extrusion) and acid extrusion (HCO3 − loading) are both occurring when the cells are unchallenged but are in approximate balance (see Fig. 16a). Replacing external Na+ with membrane impermeant NMDG+ reverses the direction of the Na+, HCO3 − cotransport so that it contributes to loss of HCO3 − from the cells until they are depleted of Na+ (Fig. 16b). Thus initially the rate of acidification is changed from that corresponding to approximate balance of loading and extrusion, to that seen when the major type of extruder is converted into a loader.

The Cl− dependence of Na+, HCO3 − cotransport can be investigated by replacing Cl− with membrane impermeant gluconate−, allowing time for intracellular Cl− to be depleted and then replacing Na+ with NMDG+. In experiments where this was done, the change observed in acidification rate induced by removal of external Na+ appeared to be less after depleting Cl−, but the effect did not reach statistical significance. Na+, HCO3 − cotransport also contributes to recovery of pHi when a cell is acidified from pHi = 7.1–6.5 using the NH4 +-pulse technique. When the effect of Cl− was tested in this type of experiment the HCO3 −-dependent recovery was approximately twice as fast in the presence of Cl− than when Cl− had been replaced by gluconate−. This finding suggests that part of the Na+, HCO3 −-cotransport is Cl−-dependent, i.e. occurring by a NDCBE-like cotransporter. There appear to be three Na+, HCO3 −-cotransporters involved in HCO3 − transport in brain endothelial cells, NBCe1 and NBCn1, which are Cl−-independent and the NDCBE-like transporter, which is Cl−-dependent.

The functional data from cultured cells have revealed the existence of a net inward Na+-dependent flux of HCO3 − but not the size of the contribution to this flux made by each of the individual cotransporters. The measured net flux will be the sum of fluxes occurring by NBCn1 and by NDCBE-like transporter, but whether the flux via NBCe1 adds to or subtracts from this sum depends on its mode of operation. If NBCe1 transports 2 HCO3 − per Na+, the transport will be into the cell and it will add to the sum. However, if NBCe1 transports 3 HCO3 − per Na+, it will transport out of the cell and it will subtract from the sum.

Evidence for the functional presence of a Cl−/HCO3 − exchanger was obtained from observing the initial effect of removing external Cl−. Replacing external Cl− with membrane-impermeant gluconate− reverses the direction of Cl−/HCO3 − exchange so that it contributes to entry of HCO3 − into the cells until they become depleted of Cl−. Thus initially acidification rate is changed from that corresponding to approximate balance of loading and extrusion (Fig. 16a), to that seen when the major acid loader is converted into an extruder (Fig. 16c).

The Na+ dependence of Cl−, HCO3 − exchange can be investigated by replacing Na+ with membrane-impermeant NMDG +, allowing time for intracellular Na+ to become depleted and then replacing Cl− with gluconate−. The change in alkalinization rate induced by removal of external Cl− was observed to be almost the same before and after depleting brain endothelial cells of Na+. Thus the Cl−, HCO3 − exchanger appears to be Na+-independent, a property of the AE family of exchangers. The most prominently expressed member of this family in these cells is AE2.

The initial effects of ion substitutions on pHi are adequately described by the scheme shown in Fig. 16. In the longer term, the effects of substitutions are likely to be more complex, e.g. after external Cl− removal the cells should shrink markedly and there will also be changes in membrane potential and in concentrations of ions other than Cl−, HCO3 − and H+.

As stated above preincubation of brain endothelial cells with DIDS prevents changes in acidification and alkalinization produced by removal of external Na+ or Cl−. Yet acutely in the presence of Na+, Cl−, and HCO3 − adding DIDS produces no observable effect on pHi. This suggests that DIDS is blocking both the loaders and extruders as indicated in Fig. 16d.

It is possible to produce a rapid alkalinization of cells in CO2/HCO3 −-containing solution either by removing CO2/HCO3 − (see above) or by adding a weak base such as trimethylamine. Trimethylamine diffuses into cells and combines with H+ forming trimethylammonium+. This weak base procedure has the advantage of allowing investigation of recovery of pHi towards normal in the presence or absence of HCO3 − and Cl−. Using this method, it was observed that recovery, which is acid loading, was 3 times faster when HCO3 − was present than when it was absent but only if Cl− was also present. This suggests that acid loading occurs primarily by Cl−-dependent extrusion of HCO3 −. The increase in recovery rate was blocked by DIDS, which together with the dependence on Cl− adds to the evidence favouring the presence of an AE-like transporter.

Evidence that any particular transporter expressed accounts for an activity observed can in principle be obtained using specific inhibitors, by genetic knockouts or by transient knock-down of expression. EIPA is selective for NHE transporters but does not distinguish between the isoforms while DIDS inhibits many transporters and thus can not be used for precise molecular identification. siRNA has been used successfully to reduce levels of NHE1 and of AE2 in a cell line derived from rat brain microvascular endothelial cells. As expected lower expression of NHE1 reduced pHi recovery rate following addition of acid to the cells while lower expression of AE2 reduced the alkalinization rate when Cl− was removed.

Evidence concerning K+ transport

In vitro evidence for influx of K+ into brain endothelial cells across the luminal side via NKCC1 was discussed in Sect. 4.5.1. While evidence was obtained that the ouabain-sensitive Na+-pump mediates K+ influx in vitro, no evidence was obtained showing that this entry was abluminal (see Sect. 4.5.1). However, there is in vivo evidence showing that K+ influx from brain into the cells across the abluminal membrane is via the pump (see Sect. 4.3.1). On each side of the endothelial cells the influx exceeds the possible net flux across the cells, and thus at each membrane there must be a mechanism allowing efflux of most of the K+ that enters. There are no reports of K+, Cl− cotransporters being present or active at the blood–brain barrier but also no reports of a careful search. By contrast many K+ channels have been characterized in cultured brain microvascular endothelial cells using patch clamp experiments. In acutely dissociated rat brain endothelial cells mRNA is present and there are functional signatures for channels containing Kv1.3, Kir2.1 and Kir2.2. There is also western blot, immunocytochemical and patch clamp evidence for the presence of KCa3.1 in bovine brain endothelial cells. Studies of the role of this channel should be aided by the recent development of a selective blocker, TRAM-34. However, while it seems from the evidence that there are several types of K+ channels that may play important roles in K+ transport at the blood–brain barrier, many details are missing including the localization of the ion channels to one membrane or the other of the endothelium. A plausible suggestion is that different channels are expressed on the two sides as this arrangement would allow separate regulation of K+ efflux across each membrane to achieve the proper balance with influx mechanisms. The role of the blood–brain barrier in regulation of [K+] in ISF and CSF is considered in Sect. 5.

Mechanisms for ion and water movements across the endothelial layer of the blood–brain barrier: a current description

A number of possible schemes for transport across the blood–brain barrier based on both the in vivo and in vitro results above can be envisaged of which two are shown in Figs. 17 and 18. The two schemes differ in the suggested locations of AE2 and NBCe1. Experimental localization has not yet been reported. It should be noted that these are in some sense extremes of a range. Both or either of AE2 and NBCe1 may be present in both membranes.

Based on the schemes in the figure the net transport of ions appears to be as described in the following sections.

Na+ transport

The Na+, K+-ATPase or Na+-pump actively transports Na+ out of the cells into the ISF and to some extent to plasma. This reduces the intracellular [Na+] which provides the gradient for Na+ influx via other transporters. Na+ entry from the blood is thought to occur primarily by the Na+, K+, Cl− cotransporter, NKCC1, though some must also occur by cotransport with HCO3 −, probably via NBCn1 and possibly, if it is expressed in the luminal membrane, by NBCe1 working in the 1 Na+, 2 HCO3 − mode. If NBCe1 is instead in the abluminal membrane it would be sensible for it to be operating in the 1 Na+, 3 HCO3 − mode, which would mediate efflux of Na+ and HCO3 − from the cells to the ISF. From the concentrations in ISF, overall approximately 126/150ths of the net flux of Na+ across the endothelial cells will be accompanied by Cl− (126 mM NaCl) while most of the remaining 24/150ths by HCO3 − (24 mM NaHCO3).

The principal routes for Na+ entry across the abluminal membrane are likely to be the Na+-linked transporters of organic solutes including prominently those for amino acids (see Sect. 2.4.2). If as appears likely, the preponderance of the linked transporters are in the abluminal membrane and if in addition the Na+ flux via these is the largest component of Na+ entry to the cells (see Sect. 4.1.1 for comparison of the coupled Na+ fluxes and those needed for any realistic rate of secretion) then if the Na+-pumps were evenly distributed or primarily in the luminal membrane there would be an associated net active flux of Na+ towards plasma, i.e. a net reabsorption of fluid. At present the balance of evidence supports secretion under normal conditions (see Sect. 4.1). Obviously, it would be very interesting indeed if it were found that the distribution of Na+-pump activity could be altered.

HCO3− and Cl− transport

HCO3 − will enter the cells from the blood via NBCn1, which is known to transport 1 Na+ for 1 HCO3 −, and possibly via NBCe1 transporting 1 Na+ and 2 HCO3 −. HCO3 − will leave the cells via AE2 in the first scheme shown in Fig. 17 or via NBCe1 transporting 1 Na+ and 3 HCO3 − in the second scheme shown in Fig. 18. NBCn1 and the NDCBE-like transporters must mediate influx, and thus are predicted to be present in the luminal (blood facing) membrane. In the first scheme, suggested by Taylor et al., NBCe1 would also be located in the luminal membrane mediating influx while AE2 would be located in the abluminal membrane mediating HCO3 − efflux in exchange for Cl−. Thus all the HCO3 − transporters would be moving HCO3 − in the direction required for secretion, but there would be no obvious reason why three NBC-like transporters are required. The second scheme incorporates the suggestion by O’Donnell that AE2 is located in the luminal membrane. The HCO3 − efflux route from the cell would then be provided by NBCe1. This scheme places the HCO3 − transporters in positions analogous to those seen in the choroid plexuses but AE2 is now redundant to the extent that no matter how much it transports changes in the other HCO3 − transporters can compensate. Both schemes are plausible. Further experimental results are required. It should be noted that in our present state of ignorance (see especially Sect. 4.4.1) other schemes are conceivable in which the HCO3 − transporters in schemes 1 or 2 are placed in the opposite membranes. These schemes would produce secondary active transport of HCO3 − from ISF to blood as envisaged many years ago by Pappenheimer, Fencl and colleagues.

NKCC1 brings in Cl− across the luminal membrane and AE2 will also transport Cl− inward across the membrane in which it is located. Thus there must be an additional Cl− transporter in the abluminal membrane to move Cl− from the cells to the brain as part of any secretion. Furthermore because NKCC1 brings in two Cl− for each Na+, if this mechanism accounts for a large proportion of the luminal Na+ entry, more Cl− will enter than can be part of any possible transcellular net flux. An additional Cl− transporter is required in the luminal membrane to recycle the excess Cl−.

Regulation of HCO3 − transport and its interrelations with H+, Cl− and CO2 transport are considered in Sect. 6.

Role of carbonic anhydrase in HCO3− transport

Carbonic anhydrase is present both inside (isoform not yet identified) and, on at least one surface, (CAIV) of brain endothelial cells (at least in rat). Neither scheme 1 nor 2 provides an explanation for why carbonic anhydrase might be required for normal secretion as there is no need for the hydration-dehydration reactions between CO2 and H2CO3. The in vivo experiments showed no effect of carbonic anhydrase inhibitors on tracer fluxes, however, these results do not reveal whether or not there is an effect on net fluxes (see Sect. 4.3.5). Further experiments are required.

K+ transport

K+ is loaded into the cells from both sides: from the blood by NKCC1 and to some extent by the Na+-pump (see Sect. 4.4.1) and from the ISF by the Na+-pump. On each side the influx exceeds the net flux across the cells, and thus at each membrane there must be pathways for efflux of most of the K+ that enters. These are thought to be K+ channels (see Sect. 4.5.3). K+ transport is considered further in Sect. 5.

A description of Na+, Cl− and water transport across the blood–brain barrier

So far transport across only the endothelial layer of the blood–brain barrier has been discussed. To cross into the brain parenchyma solutes and water must cross not only the endothelial cells but also the surrounding basement membrane and the layer of astrocyte endfeet. There is little reported data about channels or transporters for Na+ or Cl− or the presence and activity of the Na+-pump in the astrocyte endfeet. In the absence of any such evidence it would appear that the fluxes of these ions between blood and brain parenchyma pass through the clefts between the endfeet. This is scheme (1) in Fig. 4.

The importance of water fluxes via aquaporin 4 (AQP4) in the endfoot membrane under normal circumstances has not been established. In mice in which AQP4 has been knocked out in astrocytes the endfeet are swollen. This observation led Amiry–Moghaddam et al. to suggest that AQP4 is needed to allow efflux of metabolically produced water. Regardless of whether or not this swelling is due to accumulation of metabolic water, the idea that AQP4 might be mediating an efflux of water from the astrocytes under normal conditions deserves further consideration.

It was argued in Sect. 4.1 that there is a strong circumstantial case that there is a net secretion of fluid from blood to brain across the blood–brain barrier. It was argued at the start of Sect. 4 that the ratio of the amount of NaCl transported to the amount of water transported must be higher, possibly much higher (see also footnote 8), than in an isosmotic solution because when the secretion is diluted with metabolically produced water the net product is nearly isosmotic. If, as is very likely, the interior of the astrocytes is nearly isosmotic, secretion of hyperosmotic fluid into the basement membrane by the endothelial cells would imply that the osmotic gradient across the AQP4-containing membranes is directed from endfoot towards the basement membrane—i.e. AQP4 would be mediating a net flux of water into the basement membrane. This water when combined with the hyperosmotic endothelial cell secretion would produce a product that is not so strongly hyperosmotic, which would then emerge into the interstitial spaces of the brain by way of the clefts. This is scenario 3 in Fig. 4. If the net movement of fluid across the blood–brain barrier is a hypoosmotic absorption rather than a hyperosmotic secretion, then the source of the excess water is likely to be efflux from astrocyte endfeet much of which would be via AQP4.

The function of AQP4 is to increase water permeability. High functional expression of AQP4 would allow a given osmotic gradient to drive a larger flux of water or a given flux of water to be driven by a smaller osmotic gradient. The osmotic gradient across the endfoot membrane is likely to be small because the parenchyma as a whole is known to be nearly isosmotic with blood and the water permeability of the endothelium is sufficiently high (see Sect. 4.3.6) that the osmolality within the basement membrane will also be close to that of plasma. As mentioned above, it is known that in the absence of AQP4 the endfeet swell, as if an efflux of water has been blocked. Thus it appears that AQP4 is needed for the second reason: to allow a small gradient to drive a net water efflux from the endfeet.

Both AQP4 and the potassium channel subunit Kir4.1 are highly expressed in the astrocyte endfeet. The possible implications of this are discussed further in Sect. 5.3.

Role of the brain interfaces in regulation of K+ in the brain

K+ levels in the brain are remarkably stable with [K+]ISF less than [K+]plasma. By taking up K+ from ISF, astrocytes can limit increases in [K+]ISF resulting from nervous activity inside the brain, but such uptake or release cannot protect the brain as a whole from long-term changes in [K+]plasma. For instance if the rate of entry is increased due to an increase in [K+]plasma, the astrocytes and neurons could initially take up K+ so reducing the increase in [K+]ISF, but such a process has a finite capacity and eventually net uptake into the brain cells must cease.

There are only two ways to reach a new steady-state in the brain in the face of a sustained increase in [K+]plasma: either decrease the rate of entry from the blood or increase the rate of exit from the brain. In other words the long-term steady-state for K+ in the brain is dependent on transport processes at the blood–brain interfaces together with K+ loss as part of fluid outflow from the brain. Of these routes, transfers across the blood–brain barrier, (a) and (b) in Fig. 19, are thought to be most important because measurements show that far more K+ enters and leaves the parenchyma across the blood–brain barrier than enters CSF across the choroid plexuses (see Sect. 4.3.1) or leaves in the fluid outflow. In addition it has been shown in the rat that regulation of [K+]ISF develops at an earlier age than that of [K+]CSF. Nevertheless it is clear that the rate of K+ secretion by the choroid plexuses is also regulated.

K+ transport across the choroid plexuses

In studies on the composition of choroid plexus secretion, [K+] (~3.5 mmol kg−1) in the secretion was remarkably stable in the face of acute changes in either [K+]plasma and/or CSF secretion rate. Current knowledge of the transporters present in the choroid plexuses is consistent with this observation but can hardly be held to predict it.

Sampling choroid plexus secretion directly is difficult though not impossible and there have been two such studies (see Sect. 6.4.1). Useful information can be obtained more readily by sampling CSF from the ventricles and cisternae. Using this method, Stummer et al. measured the flux of 86Rb+ from blood to CSF at low, normal and high [K+]plasma. They collected a large fraction of the total CSF from rats (100 µl samples) 10 min after introduction of the tracer into the blood. This time interval they argued was insufficient for there to be appreciable entry of tracer into the CSF via the blood–brain barrier and parenchyma. The results they obtained demonstrate a clear difference in 86Rb+ accumulation between acute (minutes) and chronic (days) variations in [K+]plasma. With acute variations the K+ influx, calculated from 86Rb+ accumulation, increased with [K+]plasma. By contrast, after [K+]plasma had been maintained at different levels for more than a week, the K+ influx was independent of [K+]plasma.

The observation that acutely K+ influx increases with [K+]plasma is expected since much of the influx is thought to be paracellular (see Sect. 3.6.4). The observation that K+ influx does change while the [K+] in the secretion does not implies that there is an increased efflux of K+ from the secretion back to blood. The most likely mechanism for this is that K+ entering via the paracellular route produces an increase in [K+] within the secretion, too small or too local to be measured, and this increase somehow produces a disproportionately large increase in transfer of K+ from the secretion back into the epithelial cells, probably via the Na+-pump (compare with Sect. 4.3.1), and hence to the blood.

How the transcellular and paracellular routes of transfer (see Sect. 3.6.4) are regulated to achieve an unchanged influx from blood to CSF in the face of a long-term change in [K+]plasma is unclear. The suggestion made by Stummer et al. that there was downregulation of a transporter that mediates K+ transfer into the secreted fluid presumed that the influx was transcellular while the available evidence implicates a large paracellular component. Klarr et al. found that in choroid plexuses isolated from hypo-, normo- or hyper-kalemic rats both expression of the α1 and β1 subunits of the Na+, K+- ATPase and ouabain sensitive K+ uptake into the epithelial cells increased with [K+]plasma and pointed out that similar change in transfer of K+ from nascent CSF to blood by the Na+-pumps in vivo would be in the correct direction to help stabilize [K+] in the secretion. This could appear as a reduction in influx, if K+ emerging from either the transcellular or paracellular routes were transported back into the epithelial cells so efficiently, that a significant portion would not be able to diffuse away into CSF and hence be counted as part of the influx. Changes in the paracellular route, i.e. in the tight junctions, have yet to be considered as part of the explanation.

K+ transport across the blood–brain barrier

In vivo studies on K+ transport across the blood–brain barrier and regulation of [K+]ISF were considered in Sects. 4.3.1 and 4.3.4 and evidence from in vitro studies and the mechanisms for transport across the endothelial cells were discussed in Sects. 4.5.1, 4.5.3 and 4.6.4. It should be noted that because the in vivo flux experiments all used measurements of the K+ content of the parenchyma their results do not distinguish between transfers between blood and astrocyte endfeet, (a) in Fig. 19, on the one hand and between blood and ISF, (b) in Fig. 19, on the other.

Alongside their experiments on influx into CSF, Stummer et al. compared influx of K+ into the brain parenchyma for acute (minutes) and chronic (days) variations in [K+]plasma (see Fig. 20). With acute variations the rate of accumulation (calculated from 86Rb+ uptake) increased with [K+]plasma while with chronic changes any variation with [K+]plasma was much smaller. Stummer et al. suggest that the difference between the responses to acute and chronic changes indicates that chronically there is regulation of the number of transporters mediating influx, with the number decreasing as [K+]plasma increases. The obvious candidate at the blood–brain barrier is NKCC1 but that would also affect transport of Na+ and Cl−. Another possible explanation is considered in footnote.20 Unfortunately there is no other evidence to suggest which transporter is regulated, let alone how. There is evidence for down regulation of the α3 subunit of the Na+, K+-ATPase in hyperkalemia, but no obvious way that this result can be used to explain the data for 86Rb+ influx.

In theory the arrangement of transporters at the blood–brain barrier shown in Figs. 17 or 18 could produce a net transport of K+ in either direction depending on the K+ concentrations, the potential difference across the barrier and the relative activities of the different transporters and channels present. Because the net flux across each membrane is the small difference between relatively large influx and efflux, subtle changes in any factors affecting these fluxes could produce large changes in the net flux across the cells. For instance the variation of Na+-pump rate with [K+] in the basement membrane may have a large effect on the net flux of K+ (see Sects. 4.3.1 and 5.3).

In summary: on a time scale of seconds, astrocytes buffer [K+]ISF; on a time scale of minutes to hours, [K+]ISF is protected against changes in [K+]plasma by marked increases in K+ efflux for small changes in [K+]ISF; and on a time scale of days, the regulation is improved further by changes in the processes that allow K+ to enter across the blood–brain barrier when [K+]plasma is increased.

The role of K+ channels in glial endfeet

K+ channels containing Kir4.1 subunits are prominently expressed in the endfoot membrane facing the endothelial cells. Furthermore there is evidence from studies on neurovascular coupling (see end of Sect. 2.3) suggesting that release of K+ from endfeet does occur following neuronal activity and thus that the channels are functionally active. How and why are K+ channels localised especially (though not exclusively) in these endfeet?

AQP4 (see Sect. 4.7) and Kir4.1 colocalize to the endfoot membrane facing the basement membrane (or basal lamina) by binding to different components of the dystrophin-associated protein complex, which also binds to laminin in the basement membrane. However, the presence or absence of AQP4 does not appear to affect the properties of the Kir4.1 channels, though there may be functional interaction in the parenchyma because water fluxes may change the time course of changes in [K+]. However, there is no evidence that this happens in the basement membrane of the blood–brain barrier.

One of the established functions of the selective K+ conductance of astrocyte membranes is the so-called ‘spatial buffering’ mechanism that can redistribute extracellular K+. K+ released from active neurons causes local elevation of [K+]ISF and consequent entry of K+ into astrocytes, leading to depolarisation and inward current that spreads to other regions of the astrocyte syncytium. The current carried by K+ leaves the astrocytes where [K+]ISF is less elevated. In effect, excess K+ is spread out by a passive mechanism over a larger volume, thus reducing the change in [K+]ISF locally. Such redistribution (and subsequent return by the same mechanism) would tend to happen anyway by extracellular diffusion, but can be enhanced fivefold over large distances as seen in rabbit cortex. For some disturbances (see Fig. 5 in) spatial redistribution can be the dominant buffering mechanism for [K+]ISF close to active neurons.

A special form of spatial buffering, shown to occur in retinal glial (Müller) cells is K+ ‘siphoning’. K+ channels in Müller cells are particularly concentrated at the inner and outer retinal surfaces where the large fluid volumes appear to act as sinks to buffer concentration changes within the densely packed neural layers of the retina. Since glial K+ channels in both retina and mammalian brain are also concentrated in the endfeet surrounding blood vessels, it is natural to suggest that these may serve the function of siphoning excess K+ to or from capillaries where they may be exchanged with blood or via perivascular routes to CSF (see discussion in). However, significant K+ efflux across the blood–brain barrier is not easily detected during even extreme nervous activity and at this site such mechanisms may be too slow to play a significant part in the dynamics of K+ buffering over periods of seconds or even minutes (see, section 5.3.1 in, and section III in).

With such small blood–brain barrier fluxes, Gardner–Medwin (personal communication) has argued that concentrating K+ channels close to capillaries would have little or no benefit in [K+]ISF buffering compared with uniform distribution of the channels over the entire astrocyte membrane and reliance on simple diffusion of K+ to capillaries. Instead he suggests that the reason why localization of Kir4.1 matters is that this combined with the almost complete coverage of the endothelial tube by endfeet may be important for the longer term homeostatic regulation of blood–brain barrier K+ transport. In this view the concentration (strictly the electrochemical potential) of K+ in the endfeet is taken to be a more reliable measure of the long-term K+ status of the brain than the fluctuating and unrepresentative [K+]ISF in the nearby extracellular space. Keeping K+ in the basement membrane close to equilibrium with K+ in the astrocytes rather than with K+ in the extracellular spaces (see Fig. 19) ensures that the transport across the blood–brain barrier reflects the concentrations and amounts of K+ over a wide region of parenchyma. If this is correct, the reason why a high density of channels and hence high K+ conductance is required in the endfoot membrane is not so much to allow a large K+ flux but rather to reduce to nearly negligible levels the electrochemical gradient required to drive the small net K+ flux that occurs (compare with the discussion of the role of AQP4 in Sect. 4.7).

pH and concentration of HCO3− in the extracellular fluids of the brain: importance of HCO3− transport at the blood–brain barrier and choroid plexuses

This section considers the extent to which the blood–brain interfaces are involved in determining the pH of the extracellular fluids of the brain.

The concentration of H+ in extracellular fluid in general is small compared to those of any other ions considered in this review. Nevertheless even these small concentrations are important because H+ can bind reversibly to many body constituents altering their net charges with resultant effects on their function. To provide a stable environment in which cells can control their intracellular pH, extracellular pH is regulated to fall within a relatively narrow range, 7.35–7.45 (see e.g. pp. 224 and 225 in) corresponding to [H+] 45 and 35 nmol kg−1 respectively. This is done by controlling the concentrations of CO2 and HCO3 − (see Sect. 6.1.1). In most tissues of the body, CO2 and HCO3 − exchange freely across capillary walls and thus regulation of plasma pH controls extracellular pH. The brain is different: CO2 still moves freely between plasma and ISF, but movements of HCO3 − are governed by the function of specific transporters at the blood–brain interfaces. Under many circumstances this reduces variation of pH within the extracellular fluids of the brain (see Fig. 21 and 21) allows closer regulation (see e.g.) although Siesjö discusses the important point that control of plasma pH still accounts for a large part of the control of CSF and ISF pH.

Regulation of pH and [HCO3 −] in ISF and CSF has been the subject of many reviews including. Two major conferences highlighted the controversies in the early work. Kazemi and Johnson and Fencl gave comprehensive cover of work up to 1986 and Davson and Nattie gave accounts as of the late 1990s. The effects of many transport inhibitors are discussed in. The subject has been surveyed more recently by Nattie. It is remarkable that other reviews, those that refer to “brain pH” rather than intracellular and extracellular pH (see e.g.), largely ignore regulation of extracellular pH even though this must affect the regulation of intracellular pH.

Control of ISF pH is more important than that of CSF pH (see e.g.. This is primarily because it is the ISF that comes into direct contact with cells within the brain parenchyma. However, because it is much easier to measure the composition of CSF, many of the available results relate to this. Fortunately it is generally accepted that in the steady-state, the ionic compositions of CSF and ISF are closely similar but with somewhat higher pCO2, lower pO2 and lower glucose concentration in ISF than in CSF.

In ISF pCO2 is determined by the rate of production of CO2 by brain cells and the net rate at which CO2 is removed in the blood (see Sect. 2.2). In CSF pCO2 is typically 7–9 mmHg higher than in arterial blood and presumably slightly higher still within the parenchyma where the CO2 is produced. These differences will vary with blood flow. However the available evidence indicates that the change in the difference between pCO2 in ISF and blood is of relatively minor importance in understanding the changes in pH within the brain when the composition of arterial blood is altered. In the following discussion it will be assumed that changes in pCO2 in arterial blood will quickly produce similar changes in pCO2 throughout the brain.

CO2 is able to cross membranes either by diffusion as molecular CO2 (scheme a, Fig. 22a) or by a more complicated sequence of steps (scheme b, Fig. 22b) in which the CO2 first hydrates to form H2CO3, the H2CO3 dissociates to form H+ and HCO3 −, and then each of these species crosses the membrane, and the H+ and HCO3 − recombine following which the H2CO3 dehydrates. The water can diffuse back across the membrane leaving the same overall result in both cases: the transfer of a single molecule of CO2. The large amounts of CO2 formed in the brain, ca. 3.3 mol day−1 (see Sect. 2.2), arise from the oxidation of a neutral substrate, glucose. Neither the glucose nor the O2 brings net charge into the reaction, so the end product CO2 must be disposed of also without altering charge (see Sect. 6.1.2 for further discussion). This condition is satisfied by either scheme a or b. However, because the small, neutral molecule, CO2, can cross membranes rapidly (see Sect. 2.2) while transport of the ions, HCO3 − and H+, is relatively slow and usually in opposite directions, scheme a is the dominant process and CO2 transport can be discussed without reference to any HCO3 − or H+ fluxes across the membrane.

The net amount of HCO3 − transferred into the brain across the blood–brain interfaces is only of the order of 11 mmol day−1 as estimated from an average value of [HCO3 −] in the secretions, ~22 mM, and a total secretion rate by whatever routes of ~500 ml day−1. This is very much less than the amount of CO2 transferred. HCO3 −can cross membranes either via transporters with which it interacts directly (scheme c, Fig. 22c) or via a more complicated sequence of steps (scheme d, Fig. 22d) in which the HCO3 − first combines with a H+, the resultant H2CO3 dehydrates forming CO2 and H2O, and each then diffuses across the membrane. On the other side the CO2 recombines with H2O after which the resultant H2CO3 dissociates to form H+ and HCO3 −. If the overall result is to be transport of HCO3 −, the H+ must be transported back across the membrane. In both schemes c and d there is a net transfer of one negative charge as part of the HCO3 − transport. It is this transport of charge that differentiates the net transport of HCO3 − or of H+ in the opposite direction from net transport of CO2 and requires HCO3 − and H+ transport to be considered separately from CO2 transport (as in Sect. 6.1.2).

Both of the schemes in Fig. 22c, d are important. In physiological solutions at near neutral pH, [HCO3 −] is 20–25 mM and [H+] is ~0.1 µM. Thus the amount of net charge transferred by transport of either HCO3 − or H+ across the choroid plexuses or the blood–brain barrier will correspond primarily to changes on either side of the barrier in [HCO3 −]. For this reason it is often convenient to talk of a flux of HCO3 − in one direction even when the underlying mechanism may include a flux of H+ in the opposite direction as in Fig. 22d. Furthermore, as indicated in Sects. 3 and 4, the available evidence now strongly favours transport of HCO3 − itself across the membranes of the choroid plexuses and the blood–brain barrier (and in many other epithelial processes, see e.g.). However, it is important to note that under conditions where intracellular pH is reduced, H+ transport, primarily via Na+/H+ exchange, can be much faster than HCO3 − transport across one or both of the membranes of the endothelial cells of the blood–brain barrier.

HCO3 − ions can be introduced into or removed from ISF and CSF in a number of ways, five of which are quantitatively prominent:buffering of ISF by brain cells most of which entails interconversion of CO2 and HCO3 − within the cells and exchange of HCO3 − and Cl− across their membranes (see Sect. 6.2);production of lactic acid within brain cells and its transfer to the extracellular fluids where the H+ is buffered by the CO2/HCO3 − system (see Sect. 6.3);removal of lactate− together with H+ by MCT1 (equivalent to addition of a HCO3 −) (see Sect. 6.3);transport of HCO3 − (or equivalently of H+ in the opposite direction) across the choroid plexuses or the blood–brain barrier (see Sect. 6.4);ISF and CSF can themselves be removed by fluid outflow from the brain (see Fig. 8 and).

buffering of ISF by brain cells most of which entails interconversion of CO2 and HCO3 − within the cells and exchange of HCO3 − and Cl− across their membranes (see Sect. 6.2);

production of lactic acid within brain cells and its transfer to the extracellular fluids where the H+ is buffered by the CO2/HCO3 − system (see Sect. 6.3);

removal of lactate− together with H+ by MCT1 (equivalent to addition of a HCO3 −) (see Sect. 6.3);

transport of HCO3 − (or equivalently of H+ in the opposite direction) across the choroid plexuses or the blood–brain barrier (see Sect. 6.4);

ISF and CSF can themselves be removed by fluid outflow from the brain (see Fig. 8 and).

The first four of these routes are important in transient changes in [HCO3 −], but it is argued in the following sections (and previously by many others) that the fourth and fifth are most important on time scales of hours or longer.

Under normal resting conditions, [HCO3 −] in brain extracellular fluids is less than would occur if it were at equilibrium with [HCO3 −] in plasma. For [HCO3 −]CSF = 22 mM and [HCO3 −]plasma = 24 mM the value of the potential at equilibrium (calculated from the Nernst equation) would be −1 mV, yet the measured PD is between 2 and 7 mV positive. This is even the wrong sign for there to be an equilibrium. There are species variations in [HCO3 −] in CSF and plasma but always it seems with [HCO3 −]CSF too small for there to be an equilibrium.

Two possible explanations have been offered for how the lower [HCO3 −] in ISF and CSF is maintained: acid (primarily lactic acid) is continually being added to ISF and CSF converting HCO3 − to CO2 (Sect. 6.3) or there are active transport processes at one or both of the barriers separating CSF and ISF from blood plasma (Sect. 6.4).

Consideration of the physiological principles important for understanding pH regulation

Before discussing the transport of CO2 and HCO3 − in and out of the brain across the interfaces (Sect. 6.4), it is necessary to consider the interconversion of CO2, HCO3 − and H+ and the constraints imposed by the Principle of Electroneutrality and the maintenance of osmotic equilibrium between the brain and blood.

The interrelationship of CO2, HCO3− and H+

HCO3 − and H+ ions differ from fixed ions such as Cl− and Na+ in that they can be formed in solution from neutral precursors CO2 and H2O,

In physiological solutions these reactions are sufficiently fast and can be regarded as reaching equilibrium (i.e. wherever required carbonic anhydrase is present),where K′ combines the equilibrium constants for the two reactions shown above. It has no units. Because [CO2] is proportional to pCO2 and the concentration of water is a constant (55.5 mol kg−1), Eq. 3 can be rewritten aswhere K is the composite constant.

If the units of [H+] and [HCO3 −] are mol kg−1 and pCO2 is in mmHg, then the units of K are mol2 kg−2 mmHg−1. Equation 4 is one form of the Henderson–Hasselbalch equation, which is more commonly encountered in a logarithmic form,whereand

In Eqs. 6–8 the various symbols stand for the numerical values of the quantities in Eq. 4 when they are expressed in the units indicated above. Numerical values must be used because taking logarithms of units is not defined.

As a consequence of the reactions described by Eq. 4, once any two of [H+], [HCO3 −] and pCO2 are known the third can be calculated (at least in principle: the value of K must be known for the conditions of the solutions in question). Similarly anything that could be achieved by a flux of one of H+, HCO3 − and CO2 could be achieved equally by some combination of fluxes of the other two (see Fig. 22). For brief consideration of OH− and CO3 2− see 22.

HCO3 − transport cannot be followed using radiotracers, e.g. H14CO3 −, because interconversion of HCO3 − and CO2 and movement of CO2 across membranes (see Fig. 22) are much more rapid than transfer of HCO3 − itself (for a possible exception see Sect. 6.4.2). If H14CO3 − (or H11CO3 −) is added to blood, the 14C (or 11C) quickly distributes itself over all of the HCO3 − and CO2 present. This can occur with or without net transfer of either total CO2 (labelled plus unlabelled) or total HCO3 −.

Constraints imposed by the principle of electroneutrality and constancy of osmolality

The first constraint is imposed by the need for electroneutrality. It is not possible to add more than a negligible amount of HCO3 − or any other charged species to a cell without adding or removing something else. The reason is that addition of very few ions produces a large enough electrical potential difference between the cell and its surroundings to prevent further addition or force a compensating movement of something else. The Principle of Electroneutrality is the general statement of this property of charges and potentials. It asserts that the net charge within any region, e.g. a cell or a portion of extracellular fluid, will always be so small that it cannot be determined by any means other than measuring the potential difference between that region and its surroundings, i.e. to the accuracy it can be measured by all other means the net charge is zero.

It is important to realize that the Principle of Electroneutrality applied to any region is an approximation. The net charge within a cell can be exactly zero only if there is no potential difference between it and its surroundings. What the Principle of Electroneutrality states is that the net charge is very small compared to either the total charge on the cations or the total charge on the anions. When the imprecisely-known total charge on the anions is subtracted from the imprecisely-known total charge on the cations, the difference is smaller than the errors. Within experimental accuracy it is possible to say that the sum of charges on the cations must be equal to the sum of charges on the anions.

The accuracy of the electroneutrality approximation applied to a region increases with the total concentrations of the ions present and the size of the region. Because the numbers of ions present scale with volume while the potential difference produced by the net charge scales with the surface area (and capacitance), the electroneutrality assumption becomes less secure as the size of the region becomes smaller. Electroneutrality is exactly true only when there are no electrical potential differences, but it is true to an excellent approximation whenever the volume of the region is sufficiently large. In practical terms with physiological solutions electroneutrality fails when the size of the region becomes very small, roughly the size of a mitochondrion. However, the assumption is secure (and can be called a “Principle”) for regions as large as a mammalian cell.

For the extracellular fluids of the brain electroneutrality implies that

This must also be true in both the fluids lost from the brain and the fluids secreted into it. [lactate−] is included in this expression because in hypocapnia/hypoxia it can increase to significant levels (see Sect. 6.3). This statement is an approximation both because electroneutrality is itself an approximation but much more importantly because ionic species present at low concentrations, e.g. Mg2+, Ca2+ and various phosphate compounds, have been ignored. This can be justified for the present purpose, the illustration of principles, because variations in the concentrations of the ignored species are small compared to variations in [HCO3 −]. The net charge on proteins can be ignored for extracellular fluids in the brain but not for plasma or intracellular fluids.

The second constraint involves the constancy of osmolality resulting from the relatively free movement of water. Water moves more easily than osmotically active solutes across the choroid plexuses and the blood–brain barrier. Thus to a good approximation water moves until the osmolality of ISF and CSF are the same as that of plasma, C osmolality. Approximately this means

The combination of the two constraints, Eqs. 9 and 10, leads to

As a consequence of this relation if there is any change in [HCO3 −] in CSF or ISF there will also be an equal but opposite change in [Cl−] + [lactate−]. For examples of experimental data for which [HCO3 −] + [Cl−] is constant (see Fig. 23) below, discussion by Fencl following and. For [HCO3 −] + [Cl−] + [lactate−] constant see. For evidence that things may not be quite so simple, e.g. that osmolality may not remain constant in acute changes and/or that [Na+] may change, see.

Electroneutrality, constancy of osmolality and the reactions relating H+ and HCO3 − to CO2 and H2O mean that neither the concentrations of H+, HCO3 − and Cl− nor their net fluxes can be manipulated independently. A particular, restrictive description of this interdependence was developed by Stewart in the 1980s and used in the two most recent comprehensive reviews of extracellular pH regulation in the brain. For the reasons discussed in 23 Stewart’s description is not used here.

In summary any imbalance in charge due to an influx of either HCO 3 − or Cl − will produce an electrical potential difference that will decrease influxes of anions and increase those of cations sufficiently to ensure the maintenance of electroneutrality. Any imbalance of osmolality will lead to a water flux to restore balance.

Contribution of physiological buffering by brain cells to regulation of ISF pH

If pCO2 in arterial blood is increased, CO2 rapidly penetrates the brain and enters the astrocytes and neurons where CO2 and H2O are converted to H+ and HCO3 −. Most of the H+ is buffered, mainly by intracellular proteins and phosphate compounds. Some of the HCO3 − leaves the cells in loosely-coupled (e.g. connected by electrical potential changes) or tightly-coupled (e.g. via AE2) exchange for Cl−. The change in [HCO3 −]ISF reduces the change in pHISF associated with the increased pCO2. The whole process is closely analogous to the buffering of blood plasma by red blood cells.

This physiological buffering of ISF by brain cells is important in the initial changes in [HCO3 −]ISF and pHISF following changes in arterial pCO2 (but see). However, in the face of movements of HCO3 − across the blood–brain interfaces, this process can only produce a transient change in [HCO3 −]ISF (see e.g.) because the cells cannot continue to take up or release HCO3 −. Two examples of studies in which physiological buffering appears to be prominent are considered in 24.

Impact of lactic acid production and removal on ISF pH

Lactic acid production in brain cells and its export to ISF has been considered as an explanation for the normal non-equilibrium distribution of HCO3 − between ISF and plasma. From current evidence, it is likely to contribute to the setting of ISF and CSF pH when arterial pCO2 is greatly reduced and/or in hypoxia. (It should be noted that almost all of the generation of acid by metabolism occurs as production of CO2, which is eliminated as such.)

In all of the following lactate means the total amount of lactate present whether as undissociated lactic acid or lactate−, i.e. [lactate] = [lactic acid] + [lactate−]. In solution most of the lactic acid dissociates and [lactate−] ≫ [lactic acid].

Lactic acid production has been calculated from the arteriovenous difference in [lactate] and cerebral plasma flow but sufficiently accurate data have been difficult to obtain and the sampling sites chosen for the venous measurements will usually have ignored outflow other than via venous blood (see below and 25). Under normal conditions the balance of such evidence suggests that lactic acid production rate is 20–40 µmol min−1 (see e.g.), which is 5–10% of the rate of glucose consumption (see Sect. 2.4.1). The conclusion that there is lactic acid production is supported by other types of data including comparison of the rates of utilization of glucose and O2 (for references see). Lactic acid production rate might thus normally be as much as three to sixfold greater than the rate, at which HCO3 − is secreted into the brain (the latter calculated as 22 mM × 500 ml day−1 = 11 mmol day−1 = 5.9 µmol min−1).

Lactic acid production increases in conditions of low pCO2. When pCO2 is reduced from 37 to 18 mmHg, [lactate−]CSF increases from about 1.6–3.2 mM. At these concentrations the rate at which lactate is removed by MCT1 (see below) will be roughly in proportion to the concentration difference between ISF and plasma (see below). As [lactate−]plasma is about 1 mM, this suggests a three to fourfold increase in the rate of lactic acid production (compare the discussion following).

If [lactate−] increases, electroneutrality and constant osmolality require that [HCO3 −] + [Cl−] must decrease by a similar amount (see Eq. 11 and following). It has sometimes been argued that increased [lactate−] causes a decrease in [HCO3 −] (see also footnote 23) but that argument does not take into account possible changes in [Cl−] and does not provide any basis for considering the mechanisms that bring about changes in [HCO3 −]. Such mechanisms and the fact that the changes in [HCO3 −] resulting from lactic acid production need not equal the changes in [lactate−] are considered in the following paragraphs.

Acutely when additional lactic acid is added to ISF, the lactic acid dissociates releasing lactate− and H+. Almost all of the H+ combines with HCO3 − forming CO2, which diffuses away. Thus, as the lactic acid is added and lactate− is accumulating, the HCO3 − removed equals the lactate− added and the initial changes in [lactate−] and [HCO3 −] will be equal but opposite (see e.g.). However, the result can be quite different in the steady-state when [lactate−]ISF is constant as described below.

Sustained production of lactic acid may or may not produce a sustained reduction in [HCO3 −]ISF (see Fig. 24). In the steady-state, lactic acid entering ISF from the cells will dissociate producing lactate− and H+. The H+ will react with HCO3 − entering the brain from the blood. This reaction will remove some of the HCO3 −, leaving H2O, CO2 and lactate−. If these products are removed without regenerating HCO3 − and H+ as in Fig. 24a, [HCO3 −]ISF will be below that seen in the absence of lactic acid production. Because the increase in lactic acid production can be relatively large compared to the rate of secretion of HCO3 −, H+ release from lactic acid could be sufficient to result in a large decrease in [HCO3 −]ISF even if removal of lactate− were fast and thus [lactate−]ISF were small (, and discussion following). Indeed, from the estimates of normal lactic acid production rate and of HCO3 − secretion rate given at the start of this section, if all of the lactate− were removed from ISF leaving the H+ behind as in Fig. 24a, there would be far more H+ than could be removed by reaction with HCO3 −. It is important that when lactic acid is added to ISF and dissociates either (a) the H+ released can be removed by some means other than reaction with HCO3 − or (b) the rate of secretion of HCO3 − can be increased.

l-Lactate− transport across the blood–brain barrier is now known to be mediated by MCT1 that transports one H+ for each lactate−. The H+ transported is supplied by conversion of CO2 to HCO3 − thus regenerating the HCO3 − lost when the lactic acid was added to the ISF. As indicated in Fig. 24b, the combination of release of lactic acid into ISF from brain cells and its removal from the brain across the blood–brain barrier by MCT1 does not leave H+ for reaction with HCO3 − and thus can not account for a long-term reduction in ISF [HCO3 −].

Although MCT1 transport of lactate− and H+ across the blood–brain barrier is equivalent to removal of lactic acid, it is still convenient to refer to it as transport of lactate because [lactate−] is much greater than [lactic acid] in ISF and plasma and thus the concentration changes seen as a result of transport are primarily those of lactate−. At low concentrations the rate constant for lactate transport, i.e. (rate of change of [lactate−])/[lactate−], is about one-third of that for glucose transport mediated by GLUT1. Lactate transport via MCT1 is saturable with a Michaelis–Menten constant near 2.5–3 mM. Thus, even with the increased lactic acid production seen in all but extreme hypocapnia or hypoxia, the mechanism for efflux of lactic acid across the blood–brain barrier is not saturated. However, in severe hypoxia or locally in response to nervous activity, lactic acid production can exceed the capacity for removal by MCT1.

During increased nervous activity, lactic acid production is increased (see for references). This would be expected to increase efflux of lactic acid across the blood–brain barrier, and this would tend to make the arteriovenous difference in [lactic acid] more negative. However, this may not be observed if, for any reason, [lactic acid] in blood is also increased so increasing influx and tending to make the arteriovenous difference more positive (see e.g.).

The relative rates of introduction of lactic acid and HCO3 − into ISF and CSF under normal conditions have not been accurately determined and furthermore little is known about the fractions of lactate removed to blood (regardless of route) as lactic acid or lactate−. Ball et al. estimated that when [lactate] was elevated in spreading depression about half was removed by efflux directly to blood, i.e. across the blood–brain barrier presumably in the form of lactic acid by MCT1, and about half was effluxed indirectly, presumably as lactate−, via perivascular spaces. Similar proportions were seen in earlier work from the same group. Clear, independent evidence that some of the lactate reaches the lymphatics has been obtained by assaying the lactate content of the cervical lymph nodes. Furthermore the proportion removed by this route was shown to be altered by many of the same factors that alter removal of inulin, which is thought to be removed via the perivascular spaces.

Studies on the production of lactic acid and removal of lactate have not yielded a clear answer for how much of the generated H+ must be removed by reaction with HCO3 −.26 The evidence available indicates that the H+ from lactic acid is important when pCO2 is reduced below ca. 20 mmHg and in severe hypoxia (for discussion see Siesjö and Mines and Sørensen. However as shown by Pappenheimer, Fencl and colleagues (see Fig. 23) in metabolic acidosis and alkalosis the changes in [HCO3 −]CSF appear to be closely matched by changes in the opposite direction of [Cl−]CSF. Their data were obtained for a wide range of [HCO3 −]arterial and for pCO2 between 20 and 45 mmHg. These results leave little if any room for changes in [lactate−] and hence for lactic acid production to have significant effects on steady-state [HCO3 −] or pH in CSF and ISF. The changes in [Cl−]CSF and [HCO3 −]CSF reflect altered transport at the blood–brain barrier, the choroid plexuses or both. Events at the barriers can, of course, be affected by changes in electrical potential differences, and the concentrations of all ions, including [lactate−], will affect these potentials.

Involvement of HCO3− transport across the blood–brain interfaces in ISF and CSF pH regulation

Transport of HCO3 − across the blood–brain interfaces and its removal by outflow of CSF and ISF are the dominant processes determining [HCO3 −] in CSF and ISF in the long term. As described in Sects. 3 and 4 transcellular transport of HCO3 − across both the choroid plexuses and the blood–brain barrier is directly coupled to the transport of other ions, primarily Na+ and Cl−.

Many of the early publications considered how the overall potential difference between CSF and blood (the PD) varies with plasma pH and the contribution this might make to regulation of pH in CSF. Held, Fencl and Pappenheimer showed that the PD in goats and dogs became increasingly positive as [H+] in the blood increased (see below). Their striking findings, confirmed in several other species (see), invited the hypothesis that in acidosis increased PD, which would tend to increase net flux of HCO3 − into CSF, accounts for an increase in the ratio [HCO3 −]CSF/[HCO3 −]plasma. This change would explain at least part of why the variation in pH in CSF is smaller than that in blood in metabolic acidosis and alkalosis. Certain aspects of these studies, including the evidence that the PD is produced by processes at the blood–brain barrier, are considered in footnote 27.

There are two persuasive arguments against this “simple” mechanism as the principal explanation of pH regulation. Firstly a variation of the PD in the opposite direction to that seen in most species can occur in cats even though they still regulate pHCSF (see pg 120 in). Secondly by varying [K+]plasma the PD can be changed by as much as 9 mV with no effect on the distribution of Na+, H+ or Cl−. This indicates that changes in the PD do not produce the changes in [HCO3 −]CSF and [H+]CSF needed for regulation.

HCO3− transport across the choroid plexuses

The importance of the choroid plexuses compared to the blood–brain barrier in determining [HCO3 −] and hence pH within the brain extracellular fluids is not known with certainty. The choroid plexuses do determine pH in the CSF immediately adjacent to them. Furthermore at constant plasma pCO2 even at distant locations changes in [HCO3 −]CSF following changes in [HCO3 −]plasma occur on the same timescale of hours as the turnover of CSF. This means that choroid plexus secretion could be important in determining the final composition. However, the choroid plexuses cannot account for any rapid changes far removed from the ventricles. Furthermore there are at least three lines of evidence suggesting that transport at the choroid plexuses is less important than at the blood–brain barrier. Firstly, [K+]CSF and [HCO3 −]CSF change as CSF flows from the ventricles to the cisterna magna. Secondly changes in ventilation ascribed to changes in ISF pH at constant pCO2, i.e. those resulting from changes in [HCO3 −]ISF, are faster than changes in [HCO3 −]CSF (see next section for further discussion) and electrode measurements of pHISF (see next section) indicate that this changes more rapidly than does pHCSF. Finally experiments collecting fluid directly adjacent to the choroid plexuses have found little change in [HCO3 −] in the secretion when [HCO3 −]plasma was altered at constant pCO2 (for further discussion see 28) indicating that the changes in [HCO3 −]CSF sampled at a distance from the choroid plexuses could not be due to alterations in choroid plexus secretion.

By contrast to the situation at constant plasma pCO2, results obtained when plasma pCO2 was altered showed that [HCO3 −] in the choroid plexus secretion did change and in the same direction as pCO2 see also p. 282 in. No satisfactory explanation has been given for how [HCO3 −] in the secretion can depend on plasma pCO2 but not on [HCO3 −]plasma. The mechanisms discussed in Sect. 3 suggest that increases in either pCO2 or [HCO3 −] in plasma should increase the concentration of [HCO3 −] in the choroid epithelial cells and hence in the secretion. These results and their interpretation are considered further in footnote 28.

HCO3− transport across the blood–brain barrier

There is near universal agreement that pCO2 throughout the brain rapidly reflects changes in pCO2 in blood because CO2 crosses the blood–brain barrier rapidly (see Sect. 2.2). By contrast the evidence concerning transport of HCO3 − has been controversial with some studies supporting rapid, extensive transport (much faster than found for other ions like Na+, K+ and Cl− using radiotracers though of course still much slower than for CO2) while others have indicated slow, perhaps even no, transport (see summary of evidence in Table 3). The presence at the blood–brain barrier of multiple HCO3 − transporters (see Sects. 4.4.2 and 4.5.2) renders it most unlikely that there is no HCO3 − transport and the evidence discussed below strongly supports the idea that such transport occurs at a rate comparable to that of Cl−.

The pieces of evidence are listed in Table 3. Four of these have been used to support the view that there is rapid transport of HCO3 − across the blood–brain barrier.

(1) The first argument was put forward in the landmark papers on pH regulation and the central control of ventilation by Pappenheimer, Fencl and colleagues (see Figs. 21, 23). They used ventriculocisternal perfusion to look at the loss from or gain into the perfusion fluids of HCO3 − and Cl−. If the perfusion fluid had the same concentrations as in a sample of CSF withdrawn shortly before the perfusion, there was no net loss or gain of either ion. When a concentration in the perfusion fluid was higher there was rapid loss, while if a concentration was less there was rapid gain. From the concentrations with neither loss nor gain, they inferred that in the steady-state [HCO3 −] and [Cl−] are the same in ISF and CSF, but different from those in plasma. For other concentrations the initial rates of loss or gain represent exchange with the parenchyma. However, they reasoned that after 45 min of perfusion, the concentrations in the parenchyma would have stabilized and thus that at that time the continuing loss or gain of HCO3 − and Cl− from the perfusion fluid had to be equal to their transfers across the blood–brain barrier. However, they did not demonstrate that the rates of loss or gain had reached constant values. It has been shown using radiotracers for K+ and Na+ that 45 min is not long enough and thus that the measured rates of loss from or gain into the perfusate of Cl− and HCO3 − are likely to have exceeded substantially their rates of transfer across the blood–brain barrier. Thus at present this line of evidence must be discounted. This matter is considered semi-quantitatively in 29.

(2) Another type of evidence put forward in support of rapid transport of HCO3 − across the blood–brain barrier was obtained using pH electrodes applied to the surface of the exposed cortex or pH microelectrodes below the cortical surface. These values were taken to represent changes in pHISF. When [HCO3 −]plasma was altered at nearly constant pCO2, Ahmad and Loeschcke, Teppema and coworkers and Davies and Nolan all found rapid changes (e.g. within 30 s) in pHISF and in one case also [Cl−]ISF. The inferred changes in [HCO3 –]ISF were large, major fractions of the change imposed in plasma. The discrepancies between these results and those discussed as item 2) of evidence against have still not been explained (see 30).

(3) Normally it is not possible to vary pCO2 and [HCO3 −] independently of each other in blood because there is rapid interconversion between H+ + HCO3 − and CO2 (see Sect. 6.1.1). However, after total inhibition of carbonic anhydrase, it is possible to have disequilibrium concentrations of CO2 and HCO3 − for tens of seconds and this strategy has been used by Johnson et al. to investigate the penetration of H11CO3 − and 11CO2 into the brains of dogs. They injected total 11CO2 (11CO2 + H11CO3 −) in acid or alkaline solution into the aorta followed by very rapid recording of 11C in the head using positron emission scanning. The signal rose to a maximum within a few seconds as the bolus dose reached the head. After a further 10–15 s most of the signal left in the head was tracer that had crossed the blood–brain barrier. They found, as expected, that without carbonic anhydrase inhibition, the different injections all led to the same very rapid penetration, with extraction of more than 80% of the total 11CO2 in the bolus in a single pass. After carbonic anhydrase inhibition using acetazolamide, penetration was reduced and the reduction was much more marked when the total 11CO2 was injected in alkaline rather than acid solution, i.e. primarily as H11CO3 − rather than 11CO2 indicating as expected that CO2 can penetrate rapidly. However, the rate of penetration when most of total 11CO2 was in the form of H11CO3 − was greater than could be accounted for by movement of the small proportion of 11CO2 calculated to be present. They concluded from these results that H11CO3 − could penetrate rapidly enough to extract about 16% of that arriving in the blood. Their calculated permeability for H11CO3 − was about 30 times larger than the permeability for 36Cl−. Johnson et al. suggested that such large fluxes could not represent a net flux of HCO3 − and thus would have to involve some form of exchange.

There may be alternative explanations for the above results that do not invoke rapid movement of HCO3 −. Firstly there may not have been total inhibition of carbonic anhydrase in which case the conversion of H11CO3 − to 11CO2 in the alkaline injection experiment would have been more extensive than calculated and the higher [11CO2] might then explain the observed penetration. It would have been reassuring had data been presented showing that higher concentrations of acetazolamide did not produce further inhibition. Secondly the results could be explained without penetration of H11CO3 − if there were a high permeability to H2CO3. At equilibrium H2CO3 is at a concentration about 400 times less than [CO2] but during the disequilibrium period it could be present at a higher concentration. Apparently nothing is known about the membrane permeability of H2CO3. Fluxes of H2CO3 do not carry charge and with functional carbonic anhydrase would be very difficult to distinguish from the larger fluxes of CO2.

(4) Indirect evidence that HCO3 − (or, of course, H+) can cross the blood–brain barrier rapidly comes from studies following changes in ventilation when [HCO3 −]plasma is altered. It is widely believed that ventilation rate is determined by signals from both peripheral and central chemoreceptors and that the central chemoreceptors respond to pH (see e.g. pg 239 in). In animals whose peripheral chemoreceptors have been denervated, additions of acid to plasma produced rapid or acute increases in ventilation without measurable changes in CSF pH. The changes could not be explained as responses to changes in pCO2 in plasma and it was concluded that “central” chemoreceptors can respond quickly or acutely to changes in pH and/or [HCO3 −] in plasma. One interpretation of this result is that the central receptors are exposed to ISF and that pH and [HCO3 −] in ISF change more rapidly than in CSF. However, it is not clear how much change in pHISF is required or even if there need be any rapid change if some of the central chemoreceptors are in regions not protected by the blood–brain barrier and so can monitor changes in [HCO3–]plasma directly (see e.g. pp. 235–6 and 244 in).

At least four lines of evidence exist that support the view that transport of HCO3 − across the blood–brain barrier is either slow or non-existent.

(1) Measuring total CO2 (most of which is HCO3 −) in brain tissue, Siesjö and colleagues found no change after 6 h exposure to high or low HCO3 − in plasma. However, while these results exclude fractional changes in [HCO3 −] in the parenchyma as large as those in plasma, the sensitivity of the measurements was not sufficient for the results to argue against the existence of the smaller changes considered in points (ii)–(iv) below.31 Small changes in [HCO3 −]CSF are known to occur, see Fig. 21.

(2) A number of studies using either pH electrodes applied to the cortical surface or pH microelectrodes inserted into the cortex support slow penetration of the blood–brain barrier by HCO3 −. In the first study using pH electrodes placed against the surface of the cortex, Rapoport (see also) found that intravenous injection of HCl or NaOH led to the expected decrease or increase in pHplasma and produced transient pH changes at the cortical surface in the same direction as in plasma. By contrast injection of NaHCO3 leading to the expected alkaline shift in plasma produced a clear, transient acid shift at the cortical surface. These are the expected results if the blood–brain barrier is intact and CO2 can cross this barrier much more rapidly than HCO3 −. In brief, injections of NaHCO3 or of HCl by reaction with HCO3 − will increase pCO2 in the blood while those of NaOH by reaction with CO2 will decrease it and these changes in CO2 will produce changes in pHISF. Such changes will be transient because the excess or deficit of CO2 will be offset by distribution of CO2 and HCO3 − throughout the body and by ventilation. Javaheri et al. have called these results “a positive Rapoport test”. Rapoport’s results demonstrate that CO2 crosses the blood–brain barrier much more rapidly than HCO3 − but they do not exclude slow HCO3 −penetration that would only be apparent on time scales longer than the 10 min he used.

Another pH electrode study, this time using microelectrodes inserted into the parenchyma to study pHISF found definite but slow penetration of HCO3 − across the blood–brain barrier. In this study the transient acidification of ISF described by Rapoport following addition of NaHCO3 to blood was not detected, possibly because of the limitations of using high impedance electrodes to measure small changes in pH in an environment with both electrical and mechanical “noise”.

A further study by Javaheri et al. used pH electrodes on the cortical surface with pCO2 held constant to exclude changes in pCO2 as a factor changing pHISF. They found that intravenous infusions of acid or base for 30 min produced significant shifts in the surface pH in the same direction as in plasma. Much smaller changes were noted in pHCSF. To check that the blood–brain barrier was intact, before the infusion in each experiment they used the Rapoport test as described above. In a subsequent study using pH microelectrodes with tips located 5 mm below the cortical surface, Javaheri et al. found smaller but significant changes in pHISF that were still increasing at the end of an hour. These were much larger than the changes, if any, over the same period in CSF, but much smaller than those in plasma.

(3) Using 31P-NMR to monitor intracellular pH within the brain Adler et al. found no change over an hour when pHplasma was reduced by 0.25 units. They noted that they would not have been able to see changes corresponding to those reported by Javaheri et al. (see just above). By contrast it is very difficult to reconcile this result with the large, rapid change in pHISF reported by Ahmad and Loeschcke.

(4) A strong argument against large rapid changes in [HCO3 −]ISF in response to changes in [HCO3 −]plasma is that these must be accompanied by changes in the opposite direction in [Cl−]ISF (see Sect. 6.1). The permeability of the blood–brain barrier to Cl− has been measured using radiotracers and is much too small to support the rapid changes reported by Ahmad and Loeschcke (see also footnote 30) and Johnson et al..

To summarize, the balance of evidence from the in vivo results suggests that there is slow transfer of HCO3 − across the blood–brain barrier, presumably at rates of the same order as for Cl−. Despite extensive research on the regulation of pHISF carried out between 1950 and 1998 (see), some of which has been discussed above, there is still uncertainty about the changes in the rate of HCO3 − and Cl− transport across the blood–brain barrier in situ when [HCO3 −]plasma is changed. With brain endothelial cells in culture, transport of HCO3 − can occur by multiple transporters. These could support a net transport adequate for fluid secretion as large as 200 ml day−1 (see Sect. 4.1.1) and could account for the estimates of HCO3 − transport reported by Javaheri and coworkers from their in vivo studies on pH regulation.

In contrast to responses to changes in [HCO3 −]plasma, when pCO2 is altered there are rapid and sustained changes in [HCO3 −]ISF. Initially a substantial part of the change may result from physiological buffering but in the long term the changes result from altered transfer of HCO3 − across the blood–brain interfaces with that across the blood–brain barrier likely to be more important. In both schemes in Figs. 17 and 18 depicting mechanisms for transport across the blood–brain barrier, the rate of HCO3 − transport would increase with increases in either pCO2 or [HCO3 −] in plasma. By contrast the fluid secretion rate across the blood–brain barrier is predicted to be relatively insensitive to these changes (at least at constant pH) because the principal transporters for Na+ and Cl− do not depend on the presence of CO2 or HCO3 −. The present state of knowledge of transport mechanisms at the blood–brain barrier is not sufficient to predict the sizes of changes in [HCO3 −]ISF relative to those in plasma.

Summary

The two blood–brain interfaces, the blood–brain barrier and the choroid plexuses, fulfil very different roles.

These are reflected in their differing properties and locations in the brain as itemized and summarized in Table 4.

Conclusions

The primary roles of the blood–brain barrier are to restrict entry of unwanted substances circulating in the blood, prevent loss of required substances and at the same time provide the means for rapid transfers of O2, CO2 and glucose to support the metabolic needs of cells in the brain (Sect. 2). In this way it is able to control the composition of the interstitial fluid surrounding the brain cells thus allowing them to function effectively. Large fractions of the water, O2, CO2 and glucose that arrive in the cerebral blood flow are transferred into the brain in a single pass and there are comparable fluxes in the opposite direction (see Sect. 2). The choroid plexuses cannot replace the principal actions of the blood–brain barrier for these functions. The primary role of the choroid plexuses is to secrete fluid.

The total rate of fluid secretion into the brain is approximately 0.1% of cerebral blood flow. Most of this secretion is by the choroid plexuses that receive about 1% of cerebral blood flow. The remaining 99% of the blood flow is separated from the brain by the blood–brain barrier. The rate of net fluid transport across the blood–brain barrier is still unknown.

The water permeability of the blood–brain barrier is much lower than that of peripheral capillaries but still sufficiently large that even very small osmotic gradients could drive net water movement into the brain. However, the permeability to small ions is low which greatly reduces any possible hydrostatic pressure driven flow. Instead fluid transfer across the blood–brain barrier requires transport of solutes, particularly NaCl, with the water following osmotically.

From knowledge of the identities and locations of the transporters responsible for ion transport across the epithelial cells of the choroid plexuses, a description of events driving fluid transport can be constructed. Of note: Na+ is transported across the apical (CSF facing) membrane of the epithelial cells primarily by the Na+ pump and across the basolateral (stroma and capillary facing) membrane by cotransport with HCO3 −. There is presumably a paracellular back-leak of Na+. Cl− is transported across the basolateral membrane by Cl−/HCO3 − exchange and across the apical membrane by multiple mechanisms. Transcellular transport of K+ is in the direction from CSF to blood because the only means for its transport across the basolateral membrane is K+, Cl−-cotransport, which mediates a net efflux from the epithelial cells. However net K+ secretion is from blood to CSF across the choroid plexuses, so it follows that paracellular transport of K+ from blood to CSF must exceed the transcellular transport. This description of choroid plexus fluid secretion does not explain all of the available evidence. It fails to explain the relative independence of both [HCO3 −] in the secretion and CSF secretion rate from changes in [HCO3 −]plasma (see Sect. 6.4.1 and footnote 28). Furthermore it has not been established that the mechanisms for HCO3 − transport require conversions between CO2 and HCO3 −. If they do not, this description provides no explanation for the inhibition of secretion by the carbonic anhydrase inhibitor, acetazolamide (see Sect. 3.6.3).

More than one comparable description of events can be constructed for fluid transfer across the blood–brain barrier. The endothelial cells lining the brain microvessels have a complement of ion transporters that if appropriately arranged would allow active secretion of fluid. The Na+-pumps that are present are capable of expelling substantially more Na+ from the cells than would be needed for secretion. However, much is still unknown: exactly how the transporters are distributed between the luminal and abluminal membranes, the extent of the net transfers of Na+ and Cl− across the barrier, and the rate of fluid secretion. There is strong but still inconclusive in vivo evidence that the blood–brain barrier does secrete fluid (see Sect. 4.1).

K+ enters the endothelial cells of the blood–brain barrier via Na+, K+-ATPase located primarily in the abluminal (brain side) membrane and via Na+, K+, 2Cl−-cotransporters across the luminal (blood side) membrane. Efflux from the cells is thought to be primarily via different K+ channels in the membranes. Small changes in any of these components of K+ transport may produce relatively large changes in net flux, which could be from brain to blood or blood to brain as required.

HCO3 − enters the endothelial cells primarily by Na+, HCO3 − cotransport and leaves the cells either by Cl−/HCO3 − exchange or by Na+, HCO3 − cotransport in 1 Na+, 3 HCO3 − mode.

Na+ and Cl− entry to the brain across the blood–brain barrier is similar to or somewhat greater than Na+ and Cl− entry across the choroid plexuses. However, at the blood–brain barrier almost the same amount leaves as enters the brain and the relatively small net transfers have proved difficult to measure. By contrast at the choroid plexuses less comes out of CSF than goes in and the net fluxes represent a larger proportion of the influxes.

The role of astrocyte endfeet in the function of the blood–brain barrier is still poorly understood. It is likely that much of the glucose that crosses the blood–brain barrier enters the endfeet. AQP4 in endfeet membranes may be there to allow water produced during glucose oxidation to enter the basement membrane separating endfeet from endothelial cells. There it would either dilute hyperosmotic secretion across the blood–brain barrier or be part of a hypoosmotic absorbate. The function served by the high density of K+ channels in the endfeet is still unknown but there are speculative suggestions (Sect. 5).

Regulation of [K+]ISF appears to occur primarily by control of influx and efflux across the blood–brain barrier. K+ efflux from the brain increases markedly for small increases in [K+]ISF, but there is little change in K+ influx in response to sustained changes in [K+]plasma- presumably because there is a reduction in either the number or activity of K+ transporters or channels (Sect. 5).

The determinants of pHISF are pCO2 and [HCO3 −]ISF: pCO2 is in turn determined primarily by the metabolic and ventilation rates, with a relatively constant difference in value between pCO2 in arterial blood and ISF. The available evidence indicates that [HCO3 −]ISF is determined primarily by transport across the blood–brain barrier. While some evidence has suggested very rapid transfers of HCO3 −, the balance of evidence strongly favours slow transport with rates similar to those for other ions. However, this slow transport is still adequate for the blood–brain barrier to be the main site of [HCO3 −]ISF regulation.

Neither the blood–brain barrier nor the choroid plexuses provide the major route for net fluid outflow which occurs by pressure driven fluid flow by a variety of routes, including the arachnoid villi, meningeal lymphatics, nerve tracts through the cribriform plate, perineural pathways in the spinal cord and probably also other perineural and perivascular pathways (see Figs. 8 and 9).

Although the blood–brain barrier is vital for effective brain function, it is less clear that the choroid plexuses are needed in the adult. Thus while secretion by the choroid plexuses does account for most of the net fluid entry into the brain, a suitable arrangement of transporters at the blood–brain barrier could easily produce a similar secretion. One must look for somewhat more subtle reasons for having choroid plexuses as the major source of CSF. Firstly it may allow the blood–brain barrier to serve local needs free from constraints of having to maintain fluid secretion, e.g. in response to changes in nervous activity. Secondly, it avoids the need to provide pathways and sufficient pressure gradients for flow through the parenchyma of all the fluid entering the brain. Thirdly fluid secretion directly into the ventricles may help to maintain their patency. Having such spaces of variable volume with little resistance to flow between them allows compensation for changes in blood volume during the cardiac and respiratory cycles and in response to changes in posture. It should also be noted that the choroid plexuses are needed to secrete fluid during CNS development and it may be an economical solution to allow them to continue to do so in the adult. Finally it may be efficient for the choroid plexuses to have a role in hormonal signalling. Because the choroid plexuses are accessible for studies of transport and importantly they express ion transporters at sufficiently high levels to allow clear, convincing immunohistochemistry, it is not surprising that much more is known about the mechanisms of transport across them than across the blood–brain barrier.

More attention needs to be paid to the function of the blood–brain barrier, if volume, composition and flow changes in ISF occurring in disorders such as hydrocephalus and oedema following stroke are to be understood. The relative importance of blood–brain barrier fluid secretion and CSF recirculation through the parenchyma in the clearance of high molecular wastes is an area currently receiving a great deal of attention. Certainly there are many areas where experimental results are needed to extend our knowledge. These include: direct measurements of net fluxes across the blood–brain barrier; recordings of intracellular potentials during transport across the blood–brain barrier and the choroid plexuses under conditions close to those obtaining in vivo; localization of transporters at the blood–brain barrier to the luminal or abluminal membranes in particular the distribution of Na+-pump activity and whether this can be altered in response to different challenges; determination of clearance of solutes from brain parenchyma without barbiturate anaesthesia; clarifying whether outflow of ISF from the parenchyma is periarterial, perivenular, or both; obtaining quantitative measurements of fluid flows via perivascular pathways.

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    Betz AL, Gilboe DD, Drewes LR. The characteristics of glucose transport across the blood brain barrier and its relation to cerebral glucose metabolism. Adv Exp Med Biol. 1976;69:133-149.

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    Benrabh H, Bourre JM, Lefauconnier JM. Taurine transport at the blood–brain barrier: an in vivo brain perfusion study. Brain Res. 1995;692:57-65.

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    Bradbury MW, Davson H. The transport of urea, creatinine and certain monosaccharides between blood and fluid perfusing the cerebral ventricular system of rabbits. J Physiol (Lond). 1964;170:195-211.

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    Snodgrass SR, Cutler RW, Kang ES, Lorenzo AV. Transport of neutral amino acids from feline cerebrospinal fluid. Am J Physiol. 1969;217:974-980.

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    Preston JE, Segal MB. The steady-state amino acid fluxes across the perfused choroid plexus of the sheep. Brain Res. 1990;525:275-279.

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    Harik SI, Kalaria RN, Andersson L, Lundahl P, Perry G. Immunocytochemical localization of the erythroid glucose transporter: abundance in tissues with barrier functions. J Neurosci. 1990;10:3862-3872.

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    Hacker HJ, Thorens B, Grobholz R. Expression of facilitative glucose transporter in rat liver and choroid plexus. A histochemical study in native cryostat sections. Histochemistry. 1991;96:435-439.

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    Farrell CL, Yang J, Pardridge WM. GLUT-1 glucose transporter is present within apical and basolateral membranes of brain epithelial interfaces and in microvascular endothelia with and without tight junctions. J Histochem Cytochem. 1992;40:193-199.

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    Gerhart DZ, Leino RL, Taylor WE, Borson ND, Drewes LR. Glut1 and glut3 gene-expression in gerbil brain following brief ischemia—an in situ hybridization study. Mol Brain Res. 1994;25:313-322.

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    Kumagai AK, Dwyer KJ, Pardridge WM. Differential glycosylation of the glut1 glucose-transporter in brain capillaries and choroid-plexus. Biochim Biophys Acta-Biomembr. 1994;1193:24-30.

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    Vannucci SJ, Maher F, Simpson IA. Glucose transporter proteins in brain: delivery of glucose to neurons and glia. Glia. 1997;21:2-21.

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    de Rougemont J, Ames A, Nesbett FB, Hofmann HF. Fluid formed by choroid plexus; a technique for its collection and a comparison of its electrolyte composition with serum and cisternal fluids. J Neurophysiol. 1960;23:485-495.

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    Ames A, Higashi K, Nesbett FB. Effects of pCO2 acetazolamide and ouabain on volume and composition of choroid-plexus fluid. J Physiol (Lond). 1965;181:516-524.

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    Welch K. Secretion of cerebrospinal fluid by choroid plexus of the rabbit. Am J Physiol. 1963;205:617-624.

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    Windhager EE, Whittembury G, Oken DE, Schatzmann HJ, Solomon AK. Single proximal tubules of the Necturus kidney. III. Dependence of H2O movement on NaCl concentration. Am J Physiol. 1959;197:313-318.

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    Giebisch G, Klose RM, Malnic G, Sullivan WJ, Windhager EE. Sodium movement across single perfused proximal tubules of rat kidneys. J Gen Physiol. 1964;47:1175-1194.

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    Spring KR. Fluid transport by gallbladder epithelium. J Exp Biol. 1983;106:181-194.

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    Fischbarg J, Kuang KY, Hirsch J, Lecuona S, Rogozinski L, Silverstein SC, Loike J. Evidence that the glucose transporter serves as a water channel in J774 macrophages. Proc Natl Acad Sci USA. 1989;86:8397-8401.

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    Fischbarg J, Kuang KY, Vera JC, Arant S, Silverstein SC, Loike J, Rosen OM. Glucose transporters serve as water channels. Proc Natl Acad Sci USA. 1990;87:3244-3247.

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    MacAulay N, Zeuthen T. Water transport between CNS compartments: contributions of aquaporins and cotransporters. Neuroscience. 2010;168:941-956.

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    Zeuthen T, MacAulay N. Cotransport of water by Na+–K+–2Cl− cotransporters expressed in Xenopus oocytes: NKCC1 versus NKCC2. J Physiol (Lond). 2012;590:1139-1154.

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    Lapointe JY. Response to Zeuthen and Zeuthen’s comment to the editor: enough local hypertonicity is enough. Biophys J. 2007;93:1417-1419.

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    Yu ASL, Cheng MH, Angelow S, Gunzel D, Kanzawa SA, Schneeberger EE, Fromm M, Coalson RD. Molecular basis for cation selectivity in claudin-2-based paracellular pores: identification of an electrostatic interaction site. J Gen Physiol. 2009;133:111-127.

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    Rosenthal R, Milatz S, Krug SM, Oelrich B, Schulzke J-D, Amasheh S, Gunzel D, Fromm M. Claudin-2, a component of the tight junction, forms a paracellular water channel. J Cell Sci. 2010;123:1913-1921.

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    Brown PD, Davies SL, Millar ID, Alvarez-Leefmans FJ, Delpire E. Ion transport in choroid plexus. Physiology and pathology of chloride transporters and channels in the nervous system: from molecules to diseases. 2009;569-583.

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    Smith QR, Woodbury DM, Johanson CE. Uptake of 36Cl and 22Na by the choroid plexus-cerebrospinal fluid system: evidence for active chloride transport by the choroidal epithelium. J Neurochem. 1981;37:107-116.

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    Johanson CE, Murphy VA. Acetazolamide and insulin alter choroid-plexus epithelial-cell [Na+], pH, and volume. Am J Physiol. 1990;258:F1538-F1546.

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    Pollay M, Hisey B, Reynolds E, Tomkins P, Stevens A, Smith R. Choroid-plexus Na+/K+-activated adenosine-triphosphatase and cerebrospinal-fluid formation. Neurosurgery. 1985;17:768-772.

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    Murphy VA, Johanson CE. Alteration of sodium-transport by the choroid-plexus with amiloride. Biochim Biophys Acta. 1989;979:187-192.

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    Millar ID, Brown PD. NBCe2 exhibits a 3 HCO3−: 1 Na+ stoichiometry in mouse choroid plexus epithelial cells. Biochem Biophys Res Commun. 2008;373:550-554.

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    Wright EM. Transport processes in the formation of the cerebrospinal fluid. Rev Physiol Biochem Pharmacol. 1978;83:3-34.

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    Ames A, Sakanoue M, Endo S. Na, K, Ca, Mg, and Cl concentrations in choroid plexus fluid and cisternal fluid compared with plasma ultrafiltrate. J Neurophysiol. 1964;27:672-681.

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    Fencl V, Fishman AP, Cherniack NS, Widdicombe JG. Acid-base balance in cerebral fluids—section 3: the respiratory system, volume II control of breathing. Handbook of physiology. 1986;115-140.

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    Johanson CE, Sweeney SM, Parmelee JT, Epstein MH. Cotransport of sodium and chloride by the adult mammalian choroid-plexus. Am J Physiol. 1990;258:C211-C216.

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    Smith QR, Johanson CE. Chloride efflux from isolated choroid-plexus. Brain Res. 1991;562:306-310.

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    Keep RF, Xiang J, Betz AL. Potassium cotransport at the rat choroid plexus. Am J Physiol. 1994;267:C1616-C1622.

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    Abbott J, Davson H, Glen I, Grant N. Chloride transport and potential across the blood-CSF barrier. Brain Res. 1971;29:185-193.

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    Ridderstrale Y, Wistrand PJ, Holm L, Carter ND, Chegwidden WR, Carter NC, Edwards VH. Use of carbonic anhydrase II-deficient mice in uncovering the cellular location of membrane-associated isoforms. In the carbonic anhydrases new horizons. 2000;143-155.

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    Ridderstrale Y, Wistrand PJ, Kaila K, Ransom BR. Carbonic anhydrase isoforms in the mammalian nervous system. pH and brain function. 1998;21-43.

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    Kallio H, Pastorekova S, Pastorek J, Waheed A, Sly WS, Mannisto S, Heikinheimo M, Parkkila S. Expression of carbonic anhydrases IX and XII during mouse embryonic development. BMC Dev Biol. 2006;6:22.

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    McMurtrie HL, Cleary HJ, Alvarez BV, Loiselle FB, Sterling D, Morgan PE, Johnson DE, Casey JR. The bicarbonate transport metabolon. J Enzym Inhib Med Chem. 2004;19:231-236.

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    Boron WF. Evaluating the role of carbonic anhydrases in the transport of HCO3–related species. Biochim Biophys Acta. 2010;1804:410-421.

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    Wu Q, Delpire E, Hebert SC, Strange K. Functional demonstration of Na+ -K+ -2Cl(−) cotransporter activity in isolated, polarized choroid plexus cells. Am J Physiol. 1998;275:C1565-C1572.

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    Crum JM, Alvarez FJ, Alvarez-Leefmans FJ. The apical NKCC1 cotransporter debate. FASEB J. 2012;26(881):814.

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    Plotkin MD, Kaplan MR, Peterson LN, Gullans SR, Hebert SC, Delpire E. Expression of the Na+ -K+ -2Cl(−) cotransporter BSC2 in the nervous system. Am J Physiol. 1997;41:C173-C183.

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    Crum JM, Alvarez-Leefmans FJ. Choroid plexus epithelial cells use NKCC1 cotransporters as sensors and regulators of cerebrospinal fluid potassium levels http://www.posterhall.org/igert2011/posters/164.

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    Husted RF, Reed DJ. Regulation of cerebrospinal-fluid potassium by cat choroid-plexus. J Physiol (Lond). 1976;259:213-221.

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    Rosenberg GA, Kyner WT. Gray and white matter brain-blood transfer constants by steady-state tissue clearance in cat. Brain Res. 1980;193:59-66.

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    Szentistvanyi I, Patlak CS, Ellis RA, Cserr HF. Drainage of interstitial fluid from different regions of rat brain. Am J Physiol. 1984;246:F835-F844.

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    Groothuis DR, Vavra MW, Schlageter KE, Kang EW-Y, Itskovich AC, Hertzler S, Allen CV, Lipton HL. Efflux of drugs and solutes from brain: the interactive roles of diffusional transcapillary transport, bulk flow and capillary transporters. J Cereb Blood Flow Metab. 2007;27:43-56.

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    Abbott NJ. Evidence for bulk flow of brain interstitial fluid: significance for physiology and pathology. Neurochem Int. 2004;45:545-552.

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    Rennels ML, Gregory TF, Blaumanis OR, Fujimoto K, Grady PA. Evidence for a paravascular fluid circulation in the mammalian central nervous system, provided by the rapid distribution of tracer protein throughout the brain from the subarachnoid space. Brain Res. 1985;326:47-63.

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    Iliff JJ, Wang M, Liao Y, Plogg BA, Peng W, Gundersen GA, Benveniste H, Vates GE, Deane R, Goldman SA, et al. A paravascular pathway facilitates CSF flow through the brain parenchyma and the clearance of interstitial solutes, including amyloid beta. Sci Transl Med. 2012;4:147.

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    Arbel-Ornath M, Hudry E, Eikermann-Haerter K, Hou S, Gregory JL, Zhao LZ, Betensky RA, Frosch MP, Greenberg SM, Bacskai BJ. Interstitial fluid drainage is impaired in ischemic stroke and Alzheimer’s disease mouse models. Acta Neuropathol. 2013;126:353-364.

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    Smith AJ, Jin B-J, Verkman AS. Muddying the water in brain edema? Trends Neurosci. 2015;38:331-332.

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    Bedussi B, van Lier MGJTB, Bartstra JW, de Vos J, Siebes M, VanBavel E, Bakker ENTP. Clearance from the mouse brain by convection of interstitial fluid towards the ventricular system. Fluids Barriers CNS. 2015;12:23.

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    Bedussi B, van der Wel NN, de Vos J, van Veen H, Siebes M, VanBavel E, Bakker EN. Paravascular channels, cisterns, and the subarachnoid space in the rat brain: a single compartment with preferential pathways. J Cereb Blood Flow Metab. 2016.

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    Pollay M, Curl F. Secretion of cerebrospinal fluid by the ventricular ependyma of the rabbit. Am J Physiol. 1967;213:1031-1038.

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    Curl FD, Pollay M. Transport of water and electrolytes between brain and ventricular fluid in the rabbit. Exp Neurol. 1968;20:558-574.

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    Milhorat TH, Hammock MK, Fenstermacher JD, Rall DP, Levin VA. Cerebrospinal fluid production by the choroid plexus and brain. Science. 1971;173:330-332.

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    Milhorat TH. Failure of choroid plexectomy as treatment for hydrocephalus. Surg Gynecol Obstet. 1974;139:505-508.

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    Milhorat TH. Cerebrospinal fluid and the brain edemas. 1987.

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    Milhorat TH. Third circulation revisited. J Neurosurg. 1975;42:628-645.

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    Rekate HL. Recent advances in the understanding and treatment of hydrocephalus. Semin Pediatr Neurol. 1997;4:167-178.

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    Zhu XL, Di Rocco C. Choroid plexus coagulation for hydrocephalus not due to CSF overproduction: a review. Child’s Nerv Syst. 2013;29:35-42.

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    Bering EA, Sato O. Hydrocephalus: changes in formation and absorption of cerebrospinal fluid within the cerebral ventricles. J Neurosurg. 1963;20:1050-1063.

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    Milhorat TH, Clark RG, Hammock MK. Experimental hydrocephalus. 2. Gross pathological findings in acute and subacute obstructive hydrocephalus in the dog and monkey. J Neurosurg. 1970;32:390-399.

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    Ghersi-Egea JF, Finnegan W, Chen JL, Fenstermacher JD. Rapid distribution of intraventricularly administered sucrose into cerebrospinal fluid cisterns via subarachnoid velae in rat. Neuroscience. 1996;75:1271-1288.

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    Eisenberg HM, McLennan JE, Welch K. Ventricular perfusion in cats with kaolin-induced hydrocephalus. J Neurosurg. 1974;41:20-28.

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    Voelz K, Kondziella D, von Rautenfeld DB, Brinker T, Lüdemann W. A ferritin tracer study of compensatory spinal CSF outflow pathways in kaolin-induced hydrocephalus. Acta Neuropathol. 2007;113:569-575.

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    Milhorat TH. Hydrocephalus and the cerebrospinal fluid. 1972.

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    James AE, Strecker EP, Sperber E, Flor WJ, Merz T, Burns B. An alternative pathway of cerebrospinal fluid absorption in communicating hydrocephalus. Transependymal movement. Radiology. 1974;111:143-146.

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    James AE, Flor WJ, Novak GR, Strecker EP, Burns B, Epstein M. Experimental hydrocephalus. Exp Eye Res. 1977;25(Suppl):435-459.

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    Kim DS, Choi JU, Huh R, Yun PH, Kim DI. Quantitative assessment of cerebrospinal fluid hydrodynamics using a phase-contrast cine MR image in hydrocephalus. Child’s Nerv Syst. 1999;15:461-467.

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    Baledent O, Gondry-Jouet C, Meyer M-E, De Marco G, Le Gars D, Henry-Feugeas M-C, Idy-Peretti I. Relationship between cerebrospinal fluid and blood dynamics in healthy volunteers and patients with communicating hydrocephalus. Invest Radiol. 2004;39:45-55.

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    Bateman GA, Brown KM. The measurement of CSF flow through the aqueduct in normal and hydrocephalic children: from where does it come, to where does it go? Child’s Nerv Syst. 2012;28:55-63.

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    Baledent O, Rigamonti D. Imaging of the cerebrospinal fluid circulation. Adult hydrocephalus. 2014;121-138.

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    Coben LA, Smith KR. Iodide transfer at four cerebrospinal fluid sites in the dog: evidence for spinal iodide carrier transport. Exp Neurol. 1969;23:76-90.

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    Hammerstad JP, Lorenzo AV, Cutler RW. Iodide transport from the spinal subarachnoid fluid in the cat. Am J Physiol. 1969;216:353-358.

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    Lorenzo AV, Hammerstad JP, Cutler RW. Cerebrospinal fluid formation and absorption and transport of iodide and sulfate from the spinal subarachnoid space. J Neurol Sci. 1970;10:247-258.

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    Lux WE, Fenstermacher JD. Cerebrospinal fluid formation in ventricles and spinal subarachnoid space of the rhesus monkey. J Neurosurg. 1975;42:674-678.

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    Welch K. The principles of physiology of the cerebrospinal fluid in relation to hydrocephalus including normal pressure hydrocephalus. Adv Neurol. 1975;13:247-332.

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    O’Donnell ME, Tran L, Lam TI, Liu XB, Anderson SE. Bumetanide inhibition of the blood–brain barrier Na-K-Cl cotransporter reduces edema formation in the rat middle cerebral artery occlusion model of stroke. J Cereb Blood Flow Metab. 2004;24:1046-1056.

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    O’Donnell ME, Chen Y-J, Lam TI, Taylor KC, Walton JH, Anderson SE. Intravenous HOE-642 reduces brain edema and Na uptake in the rat permanent middle cerebral artery occlusion model of stroke: evidence for participation of the blood–brain barrier Na/H exchanger. J Cereb Blood Flow Metab. 2013;33:225-234.

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    O’Donnell ME. Blood–brain barrier Na transporters in ischemic stroke. Adv Pharmacol. 2014;71:113-146.

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    Chen Y-J, Wallace BK, Yuen N, Jenkins DP, Wulff H, O’Donnell ME. Blood–brain barrier Kca3.1 channels: evidence for a role in brain Na uptake and edema in ischemic stroke. Stroke. 2015;46:237-244.

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    Mokgokong R, Wang S, Taylor CJ, Barrand MA, Hladky SB. Ion transporters in brain endothelial cells that contribute to formation of brain interstitial fluid. Pflügers Arch. 2014;466:887-901.

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    Welch K, Sadler K, Gold G. Volume flow across choroidal ependyma of the rabbit. Am J Physiol. 1966;210:232-236.

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    Oldendorf WH, Cornford ME, Brown WJ. Large apparent work capability of blood–brain-barrier—study of mitochondrial content of capillary endothelial cells in brain and other tissues of rat. Ann Neurol. 1977;1:409-417.

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    Bito LZ, Davson H. Local variations in cerebrospinal fluid composition and its relationship to the composition of the extracellular fluid of the cortex. Exp Neurol. 1966;14:264-280.

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    Hansen AJ. Extracellular potassium concentration in juvenile and adult rat brain cortex during anoxia. Acta Physiol Scand. 1977;99:412-420.

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    Hansen AJ. Effect of anoxia on ion distribution in the brain. Physiol Rev. 1985;65:101-148.

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    Jones HC, Keep RF. The control of potassium concentration in the cerebrospinal-fluid and brain interstitial fluid of developing rats. J Physiol (Lond). 1987;383:441-453.

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    Bradbury MW, Davson H. The transport of potassium between blood, cerebrospinal fluid and brain. J Physiol (Lond). 1965;181:151-174.

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    Greenberg DM, Aird RB, Boelter MDD, Campbell WW, Cohn WE, Murayama MM. A study with radioactive isotopes of the permeability of the blood–cerebrospinal fluid barrier to ions. Am J Physiol. 1943;140:47-64.

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    Katzman R, Leiderman P. Brain potassium exchange in normal adult and immature rats. Am J Physiol. 1953;175:263-270.

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    Cserr H. Potassium exchange between cerebrospinal fluid, plasma, and brain. Am J Physiol. 1965;209:1219-1226.

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    Katzman R, Graziani L, Kaplan R, Escriva A. Exchange of cerebrospinal fluid potassium with blood and brain. Study in normal and ouabain perfused cats. Arch Neurol. 1965;13:513-524.

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    Bradbury MW, Kleeman CR. Stability of potassium content of cerebrospinal fluid and brain. Am J Physiol. 1967;213:519-528.

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    Bradbury MW, Stulcova B. Efflux mechanism contributing to the stability of the potassium concentration in cerebrospinal fluid. J Physiol (Lond). 1970;208:415-430.

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    Sachs JR, Welt LG. The concentration dependence of active potassium transport in the human red blood cell. J Clin Invest. 1967;46:65-76.

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    Post RL, Merritt CR, Kinsolving CR, Albright CD. Membrane adenosine triphosphatase as a participant in the active transport of sodium and potassium in the human erythrocyte. J Biol Chem. 1960;235:1796-1802.

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    Sachs JR. Competitive effects of some cations on active potassium transport in the human red blood cell. J Clin Invest. 1967;46:1433-1441.

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    Schielke GP, Moises HC, Betz AL. Potassium activation of the Na, K-pump in isolated brain microvessels and synaptosomes. Brain Res. 1990;524:291-296.

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    Bradbury MW, Segal MB, Wilson J. Transport of potassium at the blood–brain barrier. J Physiol (Lond). 1972;221:617-632.

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    Keep RF, Ennis SR, Beer ME, Betz AL. Developmental changes in blood–brain barrier potassium permeability in the rat: relation to brain growth. J Physiol (Lond). 1995;488:439-448.

    Not in our library10.1113/jphysiol.1995.sp020978

  261. 261.

    Smith QR, Rapoport SI. Cerebrovascular permeability coefficients to sodium, potassium, and chloride. J Neurochem. 1986;46:1732-1742.

    Not in our library10.1111/j.1471-4159.1986.tb08491.x

  262. 262.

    Ennis SR, Keep RF, Ren XD, Betz AL. 376. Potassium transport at the luminal membrane of the blood–brain barrier. J Cereb Blood Flow Metab. 1997;17(Suppl. 1):S515.

    Not in our library

  263. 263.

    Quinton PM, Wright EM, Tormey JM. Localization of sodium pumps in the choroid plexus epithelium. J Cell Biol. 1973;58:724-730.

    Not in our library10.1083/jcb.58.3.724

  264. 264.

    Davson H, Welch K. The permeation of several materials into the fluids of the rabbit’s brain. J Physiol (Lond). 1971;218:337-351.

    Not in our library10.1113/jphysiol.1971.sp009621

  265. 265.

    Murphy VA, Johanson CE. Acidosis, acetazolamide, and amiloride—effects on Na-22 transfer across the blood–brainand blood-CSF barriers. J Neurochem. 1989;52:1058-1063.

    Not in our library10.1111/j.1471-4159.1989.tb01847.x

  266. 266.

    Betz AL. Sodium transport from blood to brain: inhibition by furosemide and amiloride. J Neurochem. 1983;41:1158-1164.

    Not in our library10.1111/j.1471-4159.1983.tb09066.x

  267. 267.

    Ennis SR, Ren X-D, Betz AL. Mechanisms of sodium transport at the blood–brain barrier studied with in situ perfusion of rat brain. J Neurochem. 1996;66:756-763.

    Not in our library10.1046/j.1471-4159.1996.66020756.x

  268. 268.

    Nicola PA, Taylor CJ, Wang S, Barrand MA, Hladky SB. Transport activities involved in intracellular pH recovery following acid and alkali challenges in rat brain microvascular endothelial cells. Pflügers Arch. 2008;456:801-812.

    Not in our library10.1007/s00424-007-0441-x

  269. 269.

    Smith QR, Rapoport SI. Carrier-mediated transport of chloride across the blood–brain barrier. J Neurochem. 1984;42:754-763.

    Not in our library10.1111/j.1471-4159.1984.tb02747.x

  270. 270.

    Crone C. The blood–brain barrier as a tight epithelium: where is information lacking? Ann NY Acad Sci. 1986;481:174-185.

    Not in our library10.1111/j.1749-6632.1986.tb27149.x

  271. 271.

    Crone C, Olesen SP. Electrical-resistance of brain microvascular endothelium. Brain Res. 1982;241:49-55.

    Not in our library10.1016/0006-8993(82)91227-6

  272. 272.

    Butt AM, Jones HC, Abbott NJ. Electrical resistance across the blood–brain barrier in anaesthetized rats: a developmental study. J Physiol (Lond). 1990;429:47-62.

    Not in our library10.1113/jphysiol.1990.sp018243

  273. 273.

    Gunzel D, Yu ASL. Claudins and the modulation of tight junction permeability. Physiol Rev. 2013;93:525-569.

    Not in our library10.1152/physrev.00019.2012

  274. 274.
  275. 275.

    Haseloff RF, Dithmer S, Winkler L, Wolburg H, Blasig IE. Transmembrane proteins of the tight junctions at the blood–brain barrier: structural and functional aspects. Semin Cell Dev Biol. 2015;38:16-25.

    Not in our library10.1016/j.semcdb.2014.11.004

  276. 276.

    Tietz S, Engelhardt B. Brain barriers: crosstalk between complex tight junctions and adherens junctions. J Cell Biol. 2015;209:493-506.

    Not in our library10.1083/jcb.201412147

  277. 277.

    Frelin C, Barbry P, Vigne P, Chassande O, Cragoe EJ, Lazdunski M. Amiloride and its analogs as tools to inhibit Na+ transport via the Na+ channel, the Na+/H+ antiport and the Na+/Ca2+ exchanger. Biochimie. 1988;70:1285-1290.

    Not in our library10.1016/0300-9084(88)90196-4

  278. 278.

    Kleyman TR, Cragoe EJ. Amiloride and its analogs as tools in the study of ion transport. J Membr Biol. 1988;105:1-21.

    Not in our library10.1007/bf01871102

  279. 279.

    Balaban RS, Mandel LJ, Benos DJ. On the cross-reactivity of amiloride and 2,4,6 triaminopyrimidine (TAP) for the cellular entry and tight junctional cation permeation pathways in epithelia. J Membr Biol. 1979;49:363-390.

    Not in our library10.1007/bf01868992

  280. 280.

    Kottra G, Fromter E. Functional-properties of the paracellular pathway in some leaky epithelia. J Exp Biol. 1983;106:217-229.

    Not in our library10.1242/jeb.106.1.217

  281. 281.

    Martens H, Gabel G, Strozyk B. Mechanism of electrically silent na and cl transport across the rumen epithelium of sheep. Exp Physiol. 1991;76:103-114.

    Not in our library10.1113/expphysiol.1991.sp003472

  282. 282.

    Cremaschi D, Meyer G, Rossetti C, Botta G, Palestini P. The nature of the neutral Na+-Cl− coupled entry at the apical membrane of rabbit gallbladder epithelium.1. Na+/H+, Cl−/HCO3− double exchange and Na+-Cl− symport. J Membr Biol. 1987;95:209-218.

    Not in our library10.1007/bf01869483

  283. 283.

    Weinstein SW, Jones SM, Weinstein RJ. Evidence that alteration of charge modifies proximal tubular shunt pathway permselectivity. Am J Physiol. 1989;257:F1079-F1086.

    Not in our library10.1152/ajprenal.1989.257.6.f1079

  284. 284.

    Reuss L. Ion-transport across gallbladder epithelium. Physiol Rev. 1989;69:503-545.

    Not in our library10.1152/physrev.1989.69.2.503

  285. 285.

    Revest PA, Jones HC, Abbott NJ. Transendothelial electrical potential across pial vessels in anaesthetised rats: a study of ion permeability and transport at the blood–brain barrier. Brain Res. 1994;652:76-82.

    Not in our library10.1016/0006-8993(94)90319-0

  286. 286.

    Held D, Fencl V, Pappenheimer JR. Electrical potential of cerebrospinal fluid. J Neurophysiol. 1964;27:942-959.

    Not in our library10.1152/jn.1964.27.5.942

  287. 287.

    Fenstermacher JD, Johnson JA. Filtration and reflection coefficients of the rabbit blood–brain barrier. Am J Physiol. 1966;211:341-346.

    Not in our library10.1152/ajplegacy.1966.211.2.341

  288. 288.

    Fenstermacher JD, Staub NC, Taylor AE. Volume regulation of the central nervous system. Edema. 1984;383-404.

    Not in our library

  289. 289.

    Paulson OB, Hertz MM, Bolwig TG, Lassen NA. Filtration and diffusion of water across blood–brain-barrier in man. Microvasc Res. 1977;13:113-123.

    Not in our library10.1016/0026-2862(77)90120-0

  290. 290.

    Fettiplace R, Haydon DA. Water permeability of lipid membranes. Physiol Rev. 1980;60:510-550.

    Not in our library10.1152/physrev.1980.60.2.510

  291. 291.

    Dolman D, Drndarski S, Abbott NJ, Rattray M. Induction of aquaporin 1 but not aquaporin 4 messenger RNA in rat primary brain microvessel endothelial cells in culture. J Neurochem. 2005;93:825-833.

    Not in our library10.1111/j.1471-4159.2005.03111.x

  292. 292.

    Enerson BE, Drewes LR. The rat blood–brain barrier transcriptome. J Cereb Blood Flow Metab. 2006;26:959-973.

    Not in our library10.1038/sj.jcbfm.9600249

  293. 293.
  294. 294.

    Eisenberg HM, Suddith RL. Cerebral vessels have the capacity to transport sodium and potassium. Science. 1979;206:1083-1085.

    Not in our library10.1126/science.227060

  295. 295.

    Betz AL, Firth JA, Goldstein GW. Polarity of the blood–brain barrier: distribution of enzymes between the luminal and antiluminal membranes of brain capillary endothelial cells. Brain Res. 1980;192:17-28.

    Not in our library10.1016/0006-8993(80)91004-5

  296. 296.

    Sanchez del Pino MM, Hawkins RA, Peterson DR. Biochemical discrimination between luminal and abluminal enzyme and transport activities of the blood–brain-barrier. J Biol Chem. 1995;270:14907-14912.

    Not in our library10.1074/jbc.270.25.14907

  297. 297.

    Goldstein GW. Relation of potassium transport to oxidative metabolism in isolated brain capillaries. J Physiol (Lond). 1979;286:185-195.

    Not in our library10.1113/jphysiol.1979.sp012613

  298. 298.

    Lin JD. Potassium transport in isolated cerebral microvessels from the rat. Jpn J Physiol. 1985;35:817-830.

    Not in our library10.2170/jjphysiol.35.817

  299. 299.

    Spatz M, Kawai N, Merkel N, Bembry J, McCarron RM. Functional properties of cultured endothelial cells derived from large microvessels of human brain. Am J Physiol. 1997;272:C231-C239.

    Not in our library10.1152/ajpcell.1997.272.1.c231

  300. 300.

    Eisenberg HM, Suddith RL, Crawford JS. Transport of sodium and potassium across the blood–brain barrier. Adv Exp Med Biol. 1980;131:57-67.

    Not in our library10.1007/978-1-4684-3752-2_5

  301. 301.

    Harik SI, Doull GH, Dick APK. Specific ouabain binding to brain microvessels and choroid-plexus. J Cereb Blood Flow Metab. 1985;5:156-160.

    Not in our library10.1038/jcbfm.1985.20

  302. 302.

    Ernst SA. Transport adenosine triphosphatase cytochemistry. I. Biochemical characterization of a cytochemical medium for the ultrastructural localization of ouabain-sensitive, potassium-dependent phosphatase activity in the avian salt gland. J Histochem Cytochem. 1972;20:13-22.

    Not in our library10.1177/20.1.13

  303. 303.

    Ernst SA. Transport adenosine triphosphatase cytochemistry. II. Cytochemical localization of ouabin-sensitive, potassium-dependent phosphatase activity in the secretory epithelium of the avian salt gland. J Histochem Cytochem. 1972;20:23-38.

    Not in our library10.1177/20.1.23

  304. 304.

    Mayahara H, Fujimoto K, Ando T, Ogawa K. A new one-step method for the cytochemical localization of ouabain-sensitive, potassium-dependent p-nitrophenylphosphatase activity. Histochemistry. 1980;67:125-138.

    Not in our library10.1007/bf00493231

  305. 305.

    Firth JA. Cytochemical localization of the K+ regulation interface between blood and brain. Experientia. 1977;33:1093-1094.

    Not in our library10.1007/bf01945990

  306. 306.

    Vorbrodt AW, Lossinsky AS, Wisniewski HM. Cytochemical localization of ouabain-sensitive, K+-dependent p-nitro-phenylphosphatase (transport ATPase) in the mouse central and peripheral nervous systems. Brain Res. 1982;243:225-234.

    Not in our library10.1016/0006-8993(82)90245-1

  307. 307.

    Franceschini V, Del Grande P, Ciani F, Caniato G, Minelli G. Cytochemical localization of alkaline phosphatase and ouabain-sensitive K+-dependent p-nitrophenylphosphatase activities in brain capillaries of the newt. Basic Appl Histochem. 1984;28:281-289.

    Not in our library

  308. 308.

    Kato S, Nakamura H. Ultrastructural and ultracytochemical studies on the blood–brain barrier in chronic relapsing experimental allergic encephalomyelitis. Acta Neuropathol. 1989;77:455-464.

    Not in our library10.1007/bf00687246

  309. 309.

    Lazzari M, Franceschini V, Ciani F, Minelli G. Cytochemical localization of alkaline phosphatase and Na+, K+-ATPase activities in the blood–brain barrier of Rana esculenta. Basic Appl Histochem. 1989;33:113-120.

    Not in our library

  310. 310.

    Nag S. Ultracytochemical localisation of Na+, K+-ATPase in cerebral endothelium in acute hypertension. Acta Neuropathol. 1990;80:7-11.

    Not in our library10.1007/bf00294215

  311. 311.

    Manoonkitiwongsa PS, Schultz RL, Wareesangtip W, Whitter EF, Nava PB, McMillan PJ. Luminal localization of blood–brain barrier sodium, potassium adenosine triphosphatase is dependent on fixation. J Histochem Cytochem. 2000;48:859-865.

    Not in our library10.1177/002215540004800614

  312. 312.

    Nag S, Walker JM. Ultra cytochemical studies of the compromised blood–brain barrier. The blood–brain barrier biology and research protocols—methods in molecular medicine. 2003;145-160.

    Not in our library10.1385/1-59259-419-0:145

  313. 313.

    Maunsbach AB, Skriver E, Jorgensen PL. High-resolution cytochemical-localization of the NaK-ion pump. J Ultrastruct Res. 1982;81:396-397.

    Not in our library

  314. 314.

    Vorbrodt AW. Ultrastructural cytochemistry of blood–brain barrier endothelia. Prog Histochem Cytochem. 1988;18:1-99.

    Not in our library10.1016/s0079-6336(88)80001-9

  315. 315.

    Ernst SA, Palacios JR, Siegel GJ. Immunocytochemical localization of Na+, K+-ATPase catalytic polypeptide in mouse choroid-plexus. J Histochem Cytochem. 1986;34:189-195.

    Not in our library10.1177/34.2.3003182

  316. 316.

    Zlokovic BV, Mackic JB, Wang L, McComb JG, McDonough A. Differential expression of Na, K-ATPase alpha-subunit and beta-subunit isoforms at the blood–brain-barrier and the choroid-plexus. J Biol Chem. 1993;268:8019-8025.

    Not in our library

  317. 317.

    Betz AL, Ennis SR, Ren XD, Schielke GP, Keep RF, Greenwood J, Begley DJ, Segal MB. Blood–brain barrier sodium transport and brain edema formation. New concepts of a blood–brain barrier. 1995;159-168.

    Not in our library

  318. 318.

    Colangelo CM, Chung L, Bruce C, Cheung KH. Review of software tools for design and analysis of large scale MRM proteomic datasets. Methods. 2013;61:287-298.

    Not in our library10.1016/j.ymeth.2013.05.004

  319. 319.

    Sun D, Lytle C, O’Donnell ME. Astroglial cell-induced expression of Na-K-Cl cotransporter in brain microvascular endothelial cells. Am J Physiol. 1995;269:C1506-C1512.

    Not in our library10.1152/ajpcell.1995.269.6.c1506

  320. 320.

    Brillault J, Lam TI, Rutkowsky JM, Foroutan S, O’Donnell ME. Hypoxia effects on cell volume and ion uptake of cerebral microvascular endothelial cells. Am J Physiol. 2008;294:C88-C96.

    Not in our library10.1152/ajpcell.00148.2007

  321. 321.

    Lam TI, Wise PM, O’Donnell ME. Cerebral microvascular endothelial cell Na/H exchange: evidence for the presence of NHE1 and NHE2 isoforms and regulation by arginine vasopressin. Am J Physiol. 2009;297:C278-C289.

    Not in our library10.1152/ajpcell.00093.2009

  322. 322.

    Taylor CJ. Intracellular pH regulation in rat brain endothelial cells. 2004.

    Not in our library

  323. 323.

    Yuen NY, Chen YJ, Boron WF, Praetorius J, Anderson SE, Donnell ME. Blood–brain barrier Na/HCO3 cotransporters: evidence for a role in ischemia-induced brain Na uptake. FASEB J. 2012;26:1152-1162.

    Not in our library10.1096/fj.11-197582

  324. 324.

    Betz AL. Sodium transport in capillaries isolated from rat brain. J Neurochem. 1983;41:1150-1157.

    Not in our library10.1111/j.1471-4159.1983.tb09065.x

  325. 325.

    Lin JD. Effect of osmolarity on potassium transport in isolated cerebral microvessels. Life Sci. 1988;43:325-333.

    Not in our library10.1016/0024-3205(88)90110-5

  326. 326.

    O’Donnell ME. Role of Na-K-Cl− cotransport in vascular endothelial cell volume regulation. Am J Physiol. 1993;264:C1316-C1326.

    Not in our library10.1152/ajpcell.1993.264.5.c1316

  327. 327.

    Vigne P, Farre AL, Frelin C. Na+-K+-Cl− cotransporter of brain capillary endothelial cells. Properties and regulation by endothelins, hyperosmolar solutions, calyculin A, and interleukin-1. J Biol Chem. 1994;269:19925-19930.

    Not in our library

  328. 328.

    Kawai N, McCarron RM, Spatz M. Effect of hypoxia on Na+-K+-Cl− cotransport in cultured brain capillary endothelial cells of the rat. J Neurochem. 1996;66:2572-2579.

    Not in our library10.1046/j.1471-4159.1996.66062572.x

  329. 329.

    O’Donnell ME, Martinez A, Sun D. Cerebral microvascular endothelial cell Na-K-Cl cotransport: regulation by astrocyte-conditioned medium. Am J Physiol. 1995;268:C747-C754.

    Not in our library10.1152/ajpcell.1995.268.3.c747

  330. 330.

    Yerby TR, Vibat CRT, Sun D, Payne JA, O’Donnell ME. Molecular characterization of the Na-K-Cl cotransporter of bovine aortic endothelial cells. Am J Physiol. 1997;273:C188-C197.

    Not in our library10.1152/ajpcell.1997.273.1.c188

  331. 331.

    von Weikersthal SF, Barrand MA, Hladky SB. Functional and molecular characterization of a volume-sensitive chloride current in rat brain endothelial cells. J Physiol (Lond). 1999;516:75-84.

    Not in our library10.1111/j.1469-7793.1999.075aa.x

  332. 332.

    Millar ID, Wang S, Barrand MA, Brown PD, Hladky SB. Delayed-rectifying and inwardly-rectifying K+ channels are expressed in rat brain endothelial cells. 2007;215.

    Not in our library

  333. 333.

    Vigne P, Ladoux A, Frelin C. Endothelins activate Na+/H+ exchange in brain capillary endothelial cells via a high affinity endothelin-3 receptor that is not coupled to phospholipase C. J Biol Chem. 1991;266:5925-5928.

    Not in our library

  334. 334.

    Hsu P, Haffner J, Albuquerque MLC, Leffler CW. pHi in piglet cerebral microvascular endothelial cells: recovery from an acid load. Proc Soc Exp Biol Med. 1996;212:256-262.

    Not in our library10.3181/00379727-212-44014

  335. 335.

    Sipos I, Torocsik B, Tretter L, Adam-Vizi V. Impaired regulation of pH homeostasis by oxidative stress in rat brain capillary endothelial cells. Cell Mol Neurobiol. 2005;25:141-151.

    Not in our library10.1007/s10571-004-1379-6

  336. 336.

    Taylor CJ, Nicola PA, Wang S, Barrand MA, Hladky SB. Transporters involved in the regulation of intracellular pH (pHi) in primary cultured rat brain endothelial cells. J Physiol (Lond). 2006;576:769-785.

    Not in our library10.1113/jphysiol.2006.117374

  337. 337.

    Millar ID, Wang S, Brown PD, Barrand MA, Hladky SB. Kv1 and Kir2 potassium channels are expressed in rat brain endothelial cells. Pflügers Arch. 2008;456:379-391.

    Not in our library10.1007/s00424-007-0377-1

  338. 338.

    Abbott NJ, Revest PA. Single-channel currents recorded from rat brain capillary endothelial cells in culture. J Physiol (Lond). 1990;423:105P.

    Not in our library10.1113/jphysiol.1990.sp018050

  339. 339.

    Hoyer J, Popp R, Meyer J, Galla HJ, Gogelein H. Angiotensin-II, vasopressin and GTP gamma-S inhibit inward-rectifying-K+ channels in porcine cerebral capillary endothelial-cells. J Membr Biol. 1991;123:55-62.

    Not in our library10.1007/bf01993963

  340. 340.

    Popp R, Gogelein H. A calcium and ATP sensitive nonselective cation channel in the antiluminal membrane of rat cerebral capillary endothelial-cells. Biochim Biophys Acta. 1992;1108:59-66.

    Not in our library10.1016/0005-2736(92)90114-2

  341. 341.

    Popp R, Hoyer J, Meyer J, Galla HJ, Gogelein H. Stretch-activated non-selective cation channels in the antiluminal membrane of porcine cerebral capillaries. J Physiol (Lond). 1992;454:435-449.

    Not in our library10.1113/jphysiol.1992.sp019272

  342. 342.

    Popp R, Gogelein H. Outward-rectifying potassium channels in endothelial cells from pig cerebral capillaries. Pflügers Arch. 1993;422:120.

    Not in our library

  343. 343.

    Van Renterghem C, Vigne P, Frelin C. A charybdotoxin-sensitive, Ca2+-activated K+ channel with inward, rectifying properties in brain microvascular endothelial-cells—properties and activation by endothelins. J Neurochem. 1995;65:1274-1281.

    Not in our library10.1046/j.1471-4159.1995.65031274.x

  344. 344.

    Gögelein H, Popp R, Hoyer J, Pardridge WM. Patch clamp techniques with isolated brain microvessel membranes. Introduction to the blood–brain barrier methodology, biology and pathology. 1998;71-78.

    Not in our library

  345. 345.

    Csanady L, Adam-Vizi V. Ca2+- and voltage-dependent gating of Ca2+- and ATP-sensitive cationic channels in brain capillary endothelium. Biophys J. 2003;85:313-327.

    Not in our library10.1016/s0006-3495(03)74476-2

  346. 346.

    Csanady L, Adam-Vizi V. Antagonistic regulation of native Ca2+- and ATP-sensitive cation channels in brain capillaries by nucleotides and decavanadate. J Gen Physiol. 2004;123:743-757.

    Not in our library10.1085/jgp.200309008

  347. 347.

    Chen YJ, Yuen N, Wallace BK, Wulff H, O’Donnell ME. Blood brain barrier KCa3.1 channels: evidence for a role in brain Na uptake and edema during ischemic stroke. FASEB J. 2012;26:695-713.

    Not in our library10.1161/strokeaha.114.007445

  348. 348.

    Chen Y-J, Yuen N, Wallace BK, Wulff H, O’Donnell ME. Inhibition of the calcium-activated Kca3.1 channel reduces Na plus accumulation and edema formation in the early stages of ischemic stroke. J Vasc Res. 2012;49:12-13.

    Not in our library10.1159/000337463

  349. 349.

    Chen Y-J, Raman G, Bodendiek S, O’Donnell ME, Wulff H. The KCa3.1 blocker TRAM-34 reduces infarction and neurological deficit in a rat model of ischemia/reperfusion stroke. J Cereb Blood Flow Metab. 2011;31:2363-2374.

    Not in our library10.1038/jcbfm.2011.101

  350. 350.

    Schielke GP, Betz AL, Bradbury MW. Electrolyte transport. Physiology and pharmacology of the blood–brain barrier. 1992;221-243.

    Not in our library

  351. 351.

    Pappenheimer JR, Fencl V, Heisey SR, Held D. Role of cerebral fluids in control of respiration as studied in unanesthetized goats. Am J Physiol. 1965;208:436-450.

    Not in our library10.1152/ajplegacy.1965.208.3.436

  352. 352.

    Fencl V, Miller TB, Pappenheimer JR. Studies on the respiratory response to disturbances of acid-base balance, with deductions concerning the ionic composition of cerebral interstitial fluid. Am J Physiol. 1966;210:459-472.

    Not in our library10.1152/ajplegacy.1966.210.3.459

  353. 353.

    Ghandour MS, Langley OK, Zhu XL, Waheed A, Sly WS. Carbonic anhydrase-IV on brain capillary endothelial-cells—a marker associated with the blood–brain-barrier. Proc Natl Acad Sci USA. 1992;89:6823-6827.

    Not in our library10.1073/pnas.89.15.6823

  354. 354.

    Agarwal N, Lippmann ES, Shusta EV. Identification and expression profiling of blood–brain barrier membrane proteins. J Neurochem. 2010;112:625-635.

    Not in our library10.1111/j.1471-4159.2009.06481.x

  355. 355.

    Amiry-Moghaddam M, Otsuka T, Hurn PD, Traystman RJ, Haug FM, Froehner SC, Adams ME, Neely JD, Agre P, Ottersen OPT, Bhardwaj A. An alpha-syntrophin-dependent pool of AQP4 in astroglial end-feet confers bidirectional water flow between blood and brain. Proc Natl Acad Sci USA. 2003;100:2106-2111.

    Not in our library10.1073/pnas.0437946100

  356. 356.

    Nagelhus EA, Horio Y, Inanobe A, Fujita A, Haug FM, Nielsen S, Kurachi Y, Ottersen OP. Immunogold evidence suggests that coupling of K+ siphoning and water transport in rat retinal Muller cells is mediated by a coenrichment of Kir4.1 and AQP4 in specific membrane domains. Glia. 1999;26:47-54.

    Not in our library10.1002/(sici)1098-1136(199903)26:1<47::aid-glia5>3.0.co;2-5

  357. 357.

    Connors NC, Adams ME, Froehner SC, Kofuji P. The potassium channel Kir4.1 associates with the dystrophin-glycoprotein complex via alpha-syntrophin in glia. J Biol Chem. 2004;279:28387-28392.

    Not in our library10.1074/jbc.m402604200

  358. 358.

    Nagelhus EA, Ottersen OP. Physiological roles of aquaporin-4 in brain. Physiol Rev. 2013;93:1543-1562.

    Not in our library10.1152/physrev.00011.2013

  359. 359.

    Bekaert J, Demeester G. The influence of glucose and insulin upon the potassium concentration of serum and cerebrospinal fluid. Arch Int Physiol. 1951;59:262-264.

    Not in our library10.3109/13813455109145012

  360. 360.

    Bekaert J, Demeester G. The influence of the infusion of potassium chloride on the cerebrospinal fluid concentration of potassium. Arch Int Physiol. 1951;59:393-394.

    Not in our library10.3109/13813455109145026

  361. 361.

    Stummer W, Keep RF, Betz AL. Rubidium entry into brain and cerebrospinal-fluid during acute and chronic alterations in plasma potassium. Am J Physiol. 1994;266:H2239-H2246.

    Not in our library10.1152/ajpheart.1994.266.6.h2239

  362. 362.

    Ames A, Higashi K, Nesbett FB. Relation of potassium concentration in choroid plexus fluid to that in plasma. J Physiol (Lond). 1965;181:506-515.

    Not in our library10.1113/jphysiol.1965.sp007779

  363. 363.

    Klarr SA, Ulanski LJ, Stummer W, Xiang JM, Betz AL, Keep RF. The effects of hypo- and hyperkalemia on choroid plexus potassium transport. Brain Res. 1997;758:39-44.

    Not in our library10.1016/s0006-8993(96)01440-0

  364. 364.

    Keep RF, Ulanski LJ, Xiang JM, Ennis SR, Betz AL. Blood–brain barrier mechanisms involved in brain calcium and potassium homeostasis. Brain Res. 1999;815:200-205.

    Not in our library10.1016/s0006-8993(98)01155-x

  365. 365.

    Poopalasundaram S, Knott C, Shamotienko OG, Foran PG, Dolly JO, Ghiani CA, Gallo V, Wilkin GP. Glial heterogeneity in expression of the inwardly rectifying K+ channel, Kir4.1, in adult rat CNS. Glia. 2000;30:362-372.

    Not in our library10.1002/(sici)1098-1136(200006)30:4<362::aid-glia50>3.0.co;2-4

  366. 366.

    Higashi K, Fujita A, Inanobe A, Tanemoto M, Doi K, Kubo T, Kurachi Y. An inwardly rectifying K+ channel, Kir4.1, expressed in astrocytes surrounds synapses and blood vessels in brain. Am J Physiol. 2001;281:922-931.

    Not in our library10.1152/ajpcell.2001.281.3.c922

  367. 367.

    Ruiz-Ederra J, Zhang H, Verkman AS. Evidence against functional interaction between aquaporin-4 water channels and Kir4.1 potassium channels in retinal Muller cells. J Biol Chem. 2007;282:21866-21872.

    Not in our library10.1074/jbc.m703236200

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    Zhang H, Verkman AS. Aquaporin-4 independent Kir4.1 K+ channel function in brain glial cells. Mol Cell Neurosci. 2008;37:1-10.

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    Binder DK, Yao X, Zador Z, Sick TJ, Verkman AS, Manley GT. Increased seizure duration and slowed potassium kinetics in mice lacking aquaporin-4 water channels. Glia. 2006;53:631-636.

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    Orkand RK, Nicholls JG, Kuffler SW. Effect of nerve impulses on the membrane potential of glial cells in the central nervous system of amphibia. J Neurophysiol. 1966;29:788-806.

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    Gardner-Medwin AR. A study of the mechanisms by which potassium moves through brain-tissue in the rat. J Physiol (Lond). 1983;335:353-374.

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    Gardner-Medwin AR. Analysis of potassium dynamics in mammalian brain-tissue. J Physiol (Lond). 1983;335:393-426.

    Not in our library10.1113/jphysiol.1983.sp014541

  373. 373.

    Kofuji P, Newman EA. Potassium buffering in the central nervous system. Neuroscience. 2004;129:1045-1056.

    Not in our library10.1016/j.neuroscience.2004.06.008

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    Gardner-Medwin AR. A new framework for assessment of potassium-buffering mechanisms. Ann NY Acad Sci. 1986;481:287-302.

    Not in our library10.1111/j.1749-6632.1986.tb27159.x

  375. 375.

    Newman EA. Regional specialization of retinal glial cell membrane. Nature. 1984;309:155-157.

    Not in our library10.1038/309155a0

  376. 376.

    Newman EA, Frambach DA, Odette LL. Control of extracellular potassium levels by retinal glial cell K+ siphoning. Science. 1984;225:1174-1175.

    Not in our library10.1126/science.6474173

  377. 377.

    Newman EA. Distribution of potassium conductance in mammalian Muller (glial) cells: a comparative study. J Neurosci. 1987;7:2423-2432.

    Not in our library

  378. 378.

    Orkand RK, Newman EA, Gardner-Medwin AR, Crone C, Abbott NJ, Paulson OB, Hansen AJ, Ransom BR, Dietzel I, Wright EM, et al. General discussion on glial-interstitial fluid exchange. Ann NY Acad Sci. 1986;481:354-356.

    Not in our library10.1111/j.1749-6632.1986.tb27163.x

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    Mutsuga N, Schuette WH, Lewis DV. The contribution of local blood flow to the rapid clearance of potassium from the cortical extracellular space. Brain Res. 1976;116:431-436.

    Not in our library10.1016/0006-8993(76)90491-1

  380. 380.

    Nicholson C. Dynamics of the brain cell microenvironment. Neurosci Res Prog Bull. 1980;18:175-322.

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  381. 381.

    Altman PL, Dittmer DS. Respiration and circulation. 1971.

    Not in our library

  382. 382.

    Siesjö BK. Symposium on acid-base homeostasis. The regulation of cerebrospinal fluid pH. Kidney Int. 1972;1:360-374.

    Not in our library10.1038/ki.1972.47

  383. 383.

    Chesler M. The regulation and modulation of pH in the nervous-system. Prog Neurobiol. 1990;34:401-427.

    Not in our library10.1016/0301-0082(90)90034-e

  384. 384.

    Katsura K, Kristian T, Nair R, Siesjo BK. Regulation of intra- and extracellular pH in the rat brain in acute hypercapnia: a re-appraisal. Brain Res. 1994;651:47-56.

    Not in our library10.1016/0006-8993(94)90679-3

  385. 385.

    Chesler M. Regulation and modulation of pH in the brain. Physiol Rev. 2003;83:1183-1221.

    Not in our library10.1152/physrev.00010.2003

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    Leusen I. Regulation of cerebrospinal-fluid composition with reference to breathing. Physiol Rev. 1972;52:1-56.

    Not in our library10.1152/physrev.1972.52.1.1

  387. 387.

    Katzman R, Pappius HM. Brain electrolytes and fluid metabolism. 1973.

    Not in our library

  388. 388.

    Bledsoe SW, Hornbein TF, Hornbein TF. Central chemosensors and the regulation of their chemical environment—regulation of breathing part 1. Lung biology in health and disease volume. 1981;327-428.

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  389. 389.

    Nattie EE. Ionic mechanisms of cerebrospinal-fluid acid-base regulation. J Appl Physiol. 1983;54:3-12.

    Not in our library10.1152/jappl.1983.54.1.3

  390. 390.

    Siesjö BK. Acid-base homeostasis in the brain: physiology, chemistry, and neurochemical pathology. Prog Brain Res. 1985;63:121-154.

    Not in our library10.1016/s0079-6123(08)61980-9

  391. 391.

    Brooks CM, Kao FF, Lloyd BB. Cerebrospinal fluid and the regulation of ventilation. 1965.

    Not in our library

  392. 392.

    Cohen PJ, Siesjö BK, Sørensen SC. Energy metabolism of the human brain. Ion homeostasis of the brain. 1971.

    Not in our library

  393. 393.

    Kazemi H, Johnson DC. Regulation of cerebrospinal-fluid acid-base-balance. Physiol Rev. 1986;66:953-1037.

    Not in our library10.1152/physrev.1986.66.4.953

  394. 394.

    Nattie E, Kaila K, Ransom BR. Control and disturbances of cerebrospinal fluid pH. pH and brain function. 1998;629-650.

    Not in our library

  395. 395.

    Nattie E, Alpern RJ, Moe O. Chemoreceptors, breathing and pH. Seldin and Giebisch’s the kidney: physiology and pathophysiology. 2013;1979-1993.

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  396. 396.

    Obara M, Szeliga M, Albrecht J. Regulation of pH in the mammalian central nervous system under normal and pathological conditions: facts and hypotheses. Neurochem Int. 2008;52:905-919.

    Not in our library10.1016/j.neuint.2007.10.015

  397. 397.

    Ahmad HR, Loeschcke HH. Transient and steady-state responses of pulmonary ventilation to the medullary extracellular pH after approximately rectangular changes in alveolar pCO2. Pflügers Arch. 1982;395:285-292.

    Not in our library10.1007/bf00580791

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    Romero MF, Fulton CM, Boron WF. The SLC4 family of HCO3− transporters. Pflügers Arch. 2004;447:495-509.

    Not in our library10.1007/s00424-003-1180-2

  399. 399.

    Romero MF, Chen A-P, Parker MD, Boron WF. The SLC4 family of bicarbonate (HCO3−) transporters. Mol Asp Med. 2013;34:159-182.

    Not in our library10.1016/j.mam.2012.10.008

  400. 400.

    Fencl V, Siesjo BK, Sorensen SC. Distribution of H+ and HCO3− in cerebral fluids. Ion homeostasis of the brain. 1971;175-185.

    Not in our library

  401. 401.

    Sørensen SC, Siesjo BK, Sorensen SC. Factors regulating [H+] and [HCO3−] in brain extracellular fluid. Ion homeostasis of the brain. 1971;206-217.

    Not in our library

  402. 402.

    Ponten U, Siesjo BK. Acid-base relations in arterial blood and cerebrospinal fluid of the unanesthetized rat. Acta Physiol Scand. 1967;71:89-95.

    Not in our library10.1111/j.1748-1716.1967.tb03713.x

  403. 403.

    Chazan JA, Appleton FM, London AM, Schwartz WB. Effects of chronic metabolic acid-base disturbances on the composition of cerebrospinal fluid in the dog. Clin Sci. 1969;36:345-358.

    Not in our library

  404. 404.

    Javaheri S, Kazemi H. Electrolyte composition of cerebrospinal fluid in acute acid-base disorders. Respir Physiol. 1981;45:141-151.

    Not in our library10.1016/0034-5687(81)90056-6

  405. 405.

    Fencl V, Gabel RA, Wolfe D. Composition of cerebral fluids in goats adapted to high-altitude. J Appl Physiol Respir Environ Exerc Physiol. 1979;47:508-513.

    Not in our library10.1152/jappl.1979.47.3.508

  406. 406.

    Nattie EE. Brain and cerebrospinal fluid ionic composition and ventilation in acute hypercapnia. Respir Physiol. 1980;40:309-322.

    Not in our library10.1016/0034-5687(80)90031-6

  407. 407.

    Stewart PA. Independent and dependent variables of acid-base control. Respir Physiol. 1978;33:9-26.

    Not in our library10.1016/0034-5687(78)90079-8

  408. 408.

    Stewart PA. How to understand acid-base: a quantitative acid-base primer for biology and medicine. 1981.

    Not in our library

  409. 409.

    Loeschcke HH, Ahmad HR, Bauer C, Gros G, Bartels H. Transients and steady-state chloride-bicarbonate relationships of brain extracellular fluid. Biophysics and physiology of carbon dioxide. 1980;439-448.

    Not in our library

  410. 410.

    Boron WF, Boulpaep EL. Medical physiology. 2012.

    Not in our library

  411. 411.

    Pannier JL, Weyne J, Leusen I. The CSF-blood potential and the regulation of the bicarbonate concentration of CSF during acidosis in the cat. Life Sci I Physiol Pharmacol. 1971;10:287-300.

    Not in our library10.1016/0024-3205(71)90316-x

  412. 412.

    Wichser J, Kazemi H. CSF bicarbonate regulation in respiratory acidosis and alkalosis. J Appl Physiol. 1975;38:504-511.

    Not in our library10.1152/jappl.1975.38.3.504

  413. 413.

    Hasan FM, Kazemi H. Dual contribution theory of regulation of CSF HCO3 in respiratory acidosis. J Appl Physiol. 1976;40:559-567.

    Not in our library10.1152/jappl.1976.40.4.559

  414. 414.

    Nattie EE, Romer L. CSF HCO3− regulation in isosmotic conditions—role of brain pCO2 and plasma HCO3−. Respir Physiol. 1978;33:177-198.

    Not in our library10.1016/0034-5687(78)90068-3

  415. 415.

    Ahmad HR, Loeschcke HH. Fast bicarbonate-chloride exchange between brain-cells and brain extracellular fluid in respiratory-acidosis. Pflügers Arch. 1982;395:293-299.

    Not in our library10.1007/bf00580792

  416. 416.

    Portman MA, Lassen NA, Cooper TG, Sills AM, Potchen EJ. Intra- and extracellular pH of the brain in vivo studied by 31P-NMR during hyper- and hypocapnia. J Appl Physiol. 1985;1991(71):2168-2172.

    Not in our library10.1152/jappl.1991.71.6.2168

  417. 417.

    Siesjö BK, Kjällquist A. A new theory for the regulation of the extracellular pH in the brain. Scand J Clin Lab Invest. 1969;24:1-9.

    Not in our library10.3109/00365516909080124

  418. 418.

    Mines AH, Morril CG, Sørensen SC. The effect of iso-carbic metabolic acidosis in blood on [H+] and [HCO3−] in CSF with deductions about the regulation of an active transport of H plus-HCO3− between blood and CSF. Acta Physiol Scand. 1971;81:234-245.

    Not in our library10.1111/j.1748-1716.1971.tb04896.x

  419. 419.

    Mines AH, Sørensen SC. Changes in the electrochemical potential difference for HCO3− between blood and cerebrospinal fluid and in cerebrospinal fluid lactate concentration during isocarbic hypoxia. Acta Physiol Scand. 1971;81:225-233.

    Not in our library10.1111/j.1748-1716.1971.tb04895.x

  420. 420.

    Kety SS, Richter D. The general metabolism of the brain in vivo. Metabolism of the nervous system. 1957;221-237.

    Not in our library

  421. 421.

    Dienel GA, Cruz NF. Nutrition during brain activation: does cell-to-cell lactate shuttling contribute significantly to sweet and sour food for thought? Neurochem Int. 2004;45:321-351.

    Not in our library10.1016/j.neuint.2003.10.011

  422. 422.

    Kazemi H, Valenca LM, Shannon DC. Brain and cerebrospinal fluid lactate concentration in respiratory acidosis and alkalosis. Respir Physiol. 1969;6:178-186.

    Not in our library10.1016/0034-5687(69)90056-5

  423. 423.

    Kaasik AE, Nilsson L, Siesjö BK. The effect of asphyxia upon the lactate, pyruvate and bicarbonate concentrations of brain tissue and cisternal CSF, and upon the tissue concentrations of phosphocreatine and adenine nucleotides in anesthetized rats. Acta Physiol Scand. 1970;78:433-447.

    Not in our library10.1111/j.1748-1716.1970.tb04680.x

  424. 424.

    Scheller D, Kolb J, Tegtmeier F. Lactate and pH change in close correlation in the extracellular space of the rat brain during cortical spreading depression. Neurosci Lett. 1992;135:83-86.

    Not in our library10.1016/0304-3940(92)90141-s

  425. 425.

    Poole RC, Halestrap AP. Transport of lactate and other monocarboxylates across mammalian plasma-membranes. Am J Physiol. 1993;264:C761-C782.

    Not in our library10.1152/ajpcell.1993.264.4.c761

  426. 426.

    Gerhart DZ, Enerson BE, Zhdankina OY, Leino RL, Drewes LR. Expression of monocarboxylate transporter MCT1 by brain endothelium and glia in adult and suckling rats. Am J Physiol. 1997;273:E207-E213.

    Not in our library10.1152/ajpendo.1997.273.1.e207

  427. 427.

    Halestrap AP, Price NT. The proton-linked monocarboxylate transporter (MCT) family: structure, function and regulation. Biochem J. 1999;343:281-299.

    Not in our library10.1042/bj3430281

  428. 428.

    Oldendorf WH. Carrier-mediated blood–brain barrier transport of short-chain monocarboxylic organic-acids. Am J Physiol. 1973;224:1450-1453.

    Not in our library10.1152/ajplegacy.1973.224.6.1450

  429. 429.

    Daniel PM, Love ER, Moorhouse SR, Pratt OE. The movement of ketone bodies, glucose, pyruvate and lactate between blood and brain of rats. J Physiol (Lond). 1972;221:P22-P23.

    Not in our library

  430. 430.

    Drewes LR, Gilboe DD. Glycolysis and the permeation of glucose and lactate in the isolated, perfused dog brain during anoxia and postanoxic recovery. J Biol Chem. 1973;248:2489-2496.

    Not in our library

  431. 431.

    Knudsen GM, Paulson OB, Hertz MM. Kinetic analysis of the human blood–brain barrier transport of lactate and its influence by hypercapnia. J Cereb Blood Flow Metab. 1991;11:581-586.

    Not in our library10.1038/jcbfm.1991.107

  432. 432.

    Pardridge WM, Connor JD, Crawford IL. Permeability changes in the blood–brain barrier: causes and consequences. CRC Crit Rev Toxicol. 1975;3:159-199.

    Not in our library10.3109/10408447509079857

  433. 433.

    Cruz NF, Adachi K, Dienel GA. Rapid efflux of lactate from cerebral cortex during K+-induced spreading cortical depression. J Cereb Blood Flow Metab. 1999;19:380-392.

    Not in our library10.1097/00004647-199904000-00004

  434. 434.

    Lundgaard I, Lu ML, Yang E, Peng W, Mestre H, Hitomi E, Deane R, Nedergaard M. Glymphatic clearance controls state-dependent changes in brain lactate concentration. J Cereb Blood Flow Metab. 2016.

    Not in our library10.1177/0271678x16661202

  435. 435.

    Loeschcke HH, Siesjo BK, Sorensen SC. DC potentials between CSF and blood. Ion homeostasis of the brain the regulation of hydrogen and potassium ion concentrations in cerebral intra- and extracellular fluids. 1971;77-96.

    Not in our library

  436. 436.

    Besson JM, Woody CD, Aleonard P, Thompson HK, Albe-Fessard D, Marshall WH. Correlations of brain d-c shifts with changes in cerebral blood flow. Am J Physiol. 1970;218:284-291.

    Not in our library10.1152/ajplegacy.1970.218.1.284

  437. 437.

    Cameron IR, Caronna J, Miller R. The effect of acute hyperkalaemia on the c.s.f.-blood potential difference and the control of c.s.f. pH. J Physiol (Lond). 1973;232:102-103.

    Not in our library

  438. 438.

    Bledsoe SW, Mines AH. Effect of plasma [K+] on dc potential and on ion distributions between csf and blood. J Appl Physiol. 1975;39:1012-1016.

    Not in our library10.1152/jappl.1975.39.6.1012

  439. 439.

    Bledsoe SW, Eng DY, Hornbein TF. Evidence of active regulation of cerebrospinal-fluid acid-base-balance. J Appl Physiol. 1981;51:369-375.

    Not in our library10.1152/jappl.1981.51.2.369

  440. 440.

    Husted RF, Reed DJ. Regulation of cerebrospinal fluid bicarbonate by the cat choroid plexus. J Physiol (Lond). 1977;267:411-428.

    Not in our library10.1113/jphysiol.1977.sp011820

  441. 441.

    Patlak CS, Fenstermacher JD. Measurements of dog blood–braintransfer constants by ventriculocisternal perfusion. Am J Physiol. 1975;229:877-884.

    Not in our library10.1152/ajplegacy.1975.229.4.877

  442. 442.

    Ahmad HR, Loeschcke HH. Fast bicarbonate-chloride exchange between plasma and brain extracellular fluid at maintained pCO2. Pflügers Arch. 1982;395:300-305.

    Not in our library10.1007/bf00580793

  443. 443.

    Teppema LJ, Barts P, Folgering HT, Evers JAM. Effects of respiratory and (isocapnic) metabolic arterial acid-base disturbances on medullary extracellular fluid pH and ventilation in cats. Respir Physiol. 1983;53:379-395.

    Not in our library10.1016/0034-5687(83)90127-5

  444. 444.

    Teppema LJ, Barts P, Evers JAM. Effects of metabolic arterial pHchanges on medullary ecf pH, csf pH and ventilation in peripherally chemodenervated cats with intact blood–brain-barrier. Respir Physiol. 1984;58:123-136.

    Not in our library10.1016/0034-5687(84)90050-1

  445. 445.

    Davies DG, Nolan WF. Cerebral interstitial fluid acid-base status follows arterial acid-base perturbations. J Appl Physiol. 1982;53:1551-1555.

    Not in our library10.1152/jappl.1982.53.6.1551

  446. 446.

    Sanyal G, Maren TH. Thermodynamics of carbonic anhydrase catalysis. A comparison between human isoenzymes B and C. J Biol Chem. 1981;256:608-612.

    Not in our library

  447. 447.

    Nattie E, Li AH. Central chemoreceptors: locations and functions. Compr Physiol. 2012;2:221-254.

    Not in our library10.1002/cphy.c100083

  448. 448.

    Borison HL, Gonsalves SF, Montgomery SP, McCarthy LE. Dynamics of respiratory VT response to isocapnic pHa forcing in chemodenervated cats. J Appl Physiol Respir Environ Exerc Physiol. 1978;45:502-511.

    Not in our library10.1152/jappl.1978.45.4.502

  449. 449.

    Kaehny WD, Jackson JT. Respiratory response to HCl acidosis in dogs after carotid body denervation. J Appl Physiol Respir Environ Exerc Physiol. 1979;46:1138-1142.

    Not in our library10.1152/jappl.1979.46.6.1138

  450. 450.

    Siesjö BK. The relation between the bicarbonate concentration in blood plasma and in brain tissue. Experientia. 1964;20:455-456.

    Not in our library10.1007/bf02152148

  451. 451.

    Siesjö BK, Brooks CM, Kao FF, Lloyd BB. Active and passive mechanisms in the regulation of the acid-base metabolism of brain tissue. Cerebrospinal fluid and the regulation of ventilation. 1965;331-371.

    Not in our library

  452. 452.

    Siesjo BK, Ponten U. Acid-base changes in the brain in non-respiratory acidosis and alkalosis. Exp Brain Res. 1966;2:176-190.

    Not in our library10.1007/bf00240405

  453. 453.

    Rapoport SI. Cortical pH and the blood–brain barrier. J Physiol (Lond). 1964;170:238-249.

    Not in our library10.1113/jphysiol.1964.sp007327

  454. 454.

    Rapoport SI, Thompson HK. Effect of intravenous NH4Cl and NaHCO3 on the pH of the brain surface, as related to respiration and the blood–brain barrier. Exp Neurol. 1974;42:320-333.

    Not in our library10.1016/0014-4886(74)90029-6

  455. 455.

    Javaheri S, Clendening A, Papadakis N, Brody JS. Changes in brain surface pH during acute isocapnic metabolic acidosis and alkalosis. J Appl Physiol Respir Environ Exerc Physiol. 1981;51:276-281.

    Not in our library10.1152/jappl.1981.51.2.276

  456. 456.

    Cragg P, Patterson L, Purves MJ. The pH of brain extracellular fluid in the cat. J Physiol (Lond). 1977;272:137-166.

    Not in our library10.1113/jphysiol.1977.sp012038

  457. 457.

    Javaheri S, De Hemptinne A, Vanheel B, Leusen I. Changes in brain ECF pH during metabolic acidosis and alkalosis: a microelectrode study. J Appl Physiol Respir Environ Exerc Physiol. 1983;55:1849-1853.

    Not in our library10.1152/jappl.1983.55.6.1849

  458. 458.

    Adler S, Simplaceanu V, Ho C. Brain pH in acute isocapnic metabolic acidosis and hypoxia: a 31P-nuclear magnetic resonance study. Am J Physiol. 1990;258:F34-F40.

    Not in our library10.1152/ajprenal.1990.258.1.f34

  459. 459.

    Simon MJ, Iliff JJ. Regulation of cerebrospinal fluid (CSF) flow in neurodegenerative, neurovascular and neuroinflammatory disease. Biochim Biophys Acta-Mol Basis Dis. 2016;1862:442-451.

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  460. 460.
  461. 461.

    Weed LH. Studies on cerebro-spinal fluid. IV. The dual source of cerebro-spinal fluid. J Med Res. 1914;26:93-113.

    Not in our library

  462. 462.

    Flexner LB. Some problems of the origin, circulation and absorption of the cerebrospinal fluid. Q Rev Biol. 1933;8:397-422.

    Not in our library10.1086/394447

  463. 463.

    Woollam DHM, Millen JW. Perivascular spaces of the mammalian central nervous system. Biol Rev Camb Philos Soc. 1954;29:251-283.

    Not in our library10.1111/j.1469-185x.1954.tb00597.x

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    Cserr HF, Ostrach LH. Bulk flow of interstitial fluid after intracranial injection of blue dextran 2000. Exp Neurol. 1974;45:50-60.

    Not in our library10.1016/0014-4886(74)90099-5

  465. 465.

    Gregory TF, Rennels ML, Blaumanis OR, Fujimoto K. A method for microscopic studies of cerebral angioarchitecture and vascular-parenchymal relationships, based on the demonstration of ‘paravascular’ fluid pathways in the mammalian central nervous system. J Neurosci Methods. 1985;14:5-14.

    Not in our library10.1016/0165-0270(85)90110-4

  466. 466.

    Zhang ET, Richards HK, Kida S, Weller RO. Directional and compartmentalized drainage of interstitial fluid and cerebrospinal-fluid from the rat-brain. Acta Neuropathol. 1992;83:233-239.

    Not in our library10.1007/bf00296784

  467. 467.

    Felig P, Wahren J, Ahlborg G. Uptake of individual amino acids by the human brain. Proc Soc Exp Biol Med. 1973;142:230-231.

    Not in our library10.3181/00379727-142-36994

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    Betz AL, Gilboe DD. Effect of pentobarbital on amino acid and urea flux in the isolated dog brain. Am J Physiol. 1973;224:580-587.

    Not in our library10.1152/ajplegacy.1973.224.3.580

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    Xiang JM, Ennis SR, Abdelkarim GE, Fujisawa M, Kawai N, Keep RF. Glutamine transport at the blood–brainand blood-cerebrospinal fluid barriers. Neurochem Int. 2003;43:279-288.

    Not in our library10.1016/s0197-0186(03)00013-5

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    Smith QR, Momma S, Aoyagi M, Rapoport SI. Kinetics of neutral amino acid transport across the blood–brain barrier. J Neurochem. 1987;49:1651-1658.

    Not in our library10.1111/j.1471-4159.1987.tb01039.x

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    Lee W-J, Hawkins RA, Vina JR, Peterson DR. Glutamine transport by the blood–brain barrier: a possible mechanism for nitrogen removal. Am J Physiol. 1998;274:C1101-C1107.

    Not in our library10.1152/ajpcell.1998.274.4.c1101

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    Hawkins RA, Vina JR, Peterson DR, O’Kane R, Mokashi A, Simpson IA, D’Mello JPF. Amino acid transport across each side of the blood–brain barrier. Amino acids in human nutrition and health. 2011;191-214.

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    Hawkins RA, Viña JR, Mokashi A, Peterson DR, O’Kane R, Simpson IA, Dejoseph MR, Rasgado-Flores H. Synergism between the two membranes of the blood–brain barrier: glucose and amino acid transport. Am J Neurosci Res. 2013;1:201300168.

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    Kilberg MS, Handlogten ME, Christensen HN. Characteristics of an amino acid transport system in rat liver for glutamine, asparagine, histidine, and closely related analogs. J Biol Chem. 1980;255:4011-4019.

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    Fafournoux P, Demigne C, Remesy C, Le Cam A. Bidirectional transport of glutamine across the cell membrane in rat liver. Biochem J. 1983;216:401-408.

    Not in our library10.1042/bj2160401

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    Said HM, Hollander D, Khorchid S. An Na+-dependent and an Na+-independent system for glutamine transport in rat liver basolateral membrane vesicles. Gastroenterology. 1991;101:1094-1101.

    Not in our library10.1016/0016-5085(91)90739-8

  477. 477.

    Pacitti AJ, Inoue Y, Souba WW. Characterization of Na+-independent glutamine transport in rat liver. Am J Physiol. 1993;265:G90-G98.

    Not in our library10.1152/ajpgi.1993.265.1.g90

  478. 478.

    Haussinger D. Hepatic glutamine transport and metabolism. Adv Enzymol. 1998;72:43-86.

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