Skip to content
naulon

No retraction, correction or concern found when last checked on Oct 21, 2026.

The “Neuro-Glial-Vascular” Unit: The Role of Glia in Neurovascular Unit Formation and Dysfunction

Elisabeth C. Kugler, John Greenwood, Ryan B. MacDonald

Frontiers in Cell and Developmental Biology · 2021 · Review · CC BY

doi:10.3389/fcell.2021.732820

Abstract

The neurovascular unit (NVU) is a complex multi-cellular structure consisting of endothelial cells (ECs), neurons, glia, smooth muscle cells (SMCs), and pericytes. Each component is closely linked to each other, establishing a structural and functional unit, regulating central nervous system (CNS) blood flow and energy metabolism as well as forming the blood-brain barrier (BBB) and inner blood-retina barrier (BRB). As the name suggests, the “neuro” and “vascular” components of the NVU are well recognized and neurovascular coupling is the key function of the NVU. However, the NVU consists of multiple cell types and its functionality goes beyond the resulting neurovascular coupling, with cross-component links of signaling, metabolism, and homeostasis. Within the NVU, glia cells have gained increased attention and it is increasingly clear that they fulfill various multi-level functions in the NVU. Glial dysfunctions were shown to precede neuronal and vascular pathologies suggesting central roles for glia in NVU functionality and pathogenesis of disease. In this review, we take a “glio-centric” view on NVU development and function in the retina and brain, how these change in disease, and how advancing experimental techniques will help us address unanswered questions.

Full text

From PubMed Central, U.S. National Library of Medicine, as current on Oct 21, 2026. Paragraph numbers are ours, so an answer can point at one.

Introduction

The brain and retina, which constitute the central nervous system (CNS), are highly complex tissues, requiring high levels of energy for function and tight control for health. To achieve this, they contain a specialized vasculature that controls parenchymal homeostasis, transport of metabolites, and confers, in part, so-called immune privilege. Most importantly, the bi-directional movement of molecules across the blood-tissue barriers is strictly controlled to maintain CNS health and brain function. For many decades the focus of this regulatory capacity lay at the endothelial cell (EC), the predominant cell of the blood-brain barrier (BBB), but more recently the wider neurovascular unit (NVU) has been recognized as providing functionality. The NVU is a complex multi-hetero-cellular structure of EC, neurons, glia, smooth muscle cells (SMCs), pericytes, and extracellular matrix (ECM). Together, these components regulate blood flow and metabolism, thus allowing the controlled exchange of nutrients and metabolic waste products. To meet the high metabolic demand of the CNS, particularly in response to an intensification of physical or mental activity, increased neuronal activity leads to subsequent changes in cerebral blood flow (functional hyperemia), in a process called neurovascular coupling. While neurons can directly regulate this system, glial cells are often in direct physical contact with the vasculature and neurons, thus are critically positioned to interface between these cellular components where they may contribute to the relay of information and act as a modulator of such crosstalk. Additionally, NVU components are crucial for brain protection and homeostasis as ECs form the BBB, and glia physically ensheathing the blood vessels are seen as a secondary barrier. With this close physical interaction between ECs and glia, nutrients required for CNS function are delivered from the blood vessels to neurons mainly via glia cells, while waste compounds are passed via glial cell to microglia or back into the bloodstream. Dysfunction of the NVU is characterized by dysregulation of neurovascular coupling, neuron death, gliosis, microglia activation, mural cell transmigration, and BBB breakdown. Dysfunction of the BBB is associated with increased vascular leakage, transcellular transport, immune cell infiltration, and reduction of intercellular junctions (Figure 1). Accordingly, glial cells and other NVU cells work closely together to maintain CNS function and maintenance.

In this review, we discuss glia cell types and their role in the NVU, by examining glia specializations to support neurons, the vasculature, and neuro-vascular interactions in the NVU. Lastly, we will highlight how rapidly improving techniques and tools will help us answer pressing outstanding questions in the field. While this review is not meant to be an exhaustive list of the many types of glia within the CNS, we aim to highlight their importance for the development, function, and dysfunction of the NVU in the brain and retina.

Components of the Neurovascular Unit

The complex interaction between NVU cells requires each cellular component to operate in a complex and coordinated manner to ensure homeostatic control of the BBB and blood retina barrier (BRB). Each component exhibits specialized features that are critical to the overall maintenance of NVU function (Figure 1). Briefly, ECs form a single-layer lining of tubular blood vessels, which are specialized depending on the vascular bed in which they are situated. At the BBB/BRB, ECs exhibit reduced pinocytosis/transcytosis, increased expression of tight junction molecules, such as claudins, occludin, or zonula occludens 1 (ZO-1; Figure 2A;; ), and exclude free transport of substances over 400kDa. Mural cells, which constitute pericytes and vascular smooth muscle cells (vSMCs), are positioned in the basement membrane shared with ECs, maintain vascular stability, provide structural support for blood vessels, govern vasodilation/constriction, as well as contribute to NVU function by BBB maintenance. Neurons in the NVU transduce signals and control local cerebral blood flow directly, such as via nitric oxide (NO), as well as indirectly via glia cells, such as via arachnoid acid or potassium (K+). Additionally, neuronal activity itself shapes vascular and BBB formation via levels of neurotransmitter release. Glial cells physically ensheath blood vessels with their endfeet, creating the semi-permeable glia limitans. Importantly, glia physically connect vessels to neurons, modulate neurotransmission, and impact neurogenesis. Microglia, macrophages, and perivascular macrophages (PVM) play roles in phagocytosis and the CNS inflammatory response, ensuring CNS maintenance and health. The vascular basement membrane, which encompasses blood vessels, acts as a passage for fluid transport, while the perivascular basal laminae and ECM molecules support the glio-vascular interface. Together, these components form a spatially and functionally integrated NVU with bidirectional communication, namely neuro-vascular-coupling and vascular-neuro-coupling. However, the precise mechanisms of the diverse roles of glial cells in NVU form, maintenance and function remain unclear. Answering these fundamental questions will be of particular importance as the NVUs’ main role is considered neurovascular coupling, but indeed various other aspects such as integration of signaling, metabolism, and homeostasis occur across NVU components and thus must also be considered.

Overview of Glial Cells Types and the Neurovascular Unit

Glia were originally described as scaffolds providing structural support and maintaining biophysical integrity, making their role in supporting the structure and biophysical integrity of the CNS their most widely described function. However, glia are now being increasingly appreciated for their many other functional and regulatory roles, such as neurotransmission, BBB function, and controlling immunity (Table 1). To fulfill the variety of specialized functions required, glia cells are highly specialized according to each CNS region with respect to proteomic signatures, electrophysiology, Ca2+ signaling, morphology, and proximities to synapses. Moreover, even within morphological groups, such as astrocytes, there is heterogeneity of cell types and their pathological responses that may also reflect regional differences in the structure and function of the NVU.

The most abundant and widespread glial cell type in the brain are astrocytes. Astrocytes are fivefold more numerous than neurons, with individual astrocytes contacting up to two million neuron synapses with elaborate morphologies. This high spatial correspondence between astrocytes and neurons is accompanied by astrocytes regulating neuron health by controlling neurotransmitters, such as glutamate or adenosine, as well as maintaining hydromineral brain homeostasis, such as Ca2+, Cl–, or water. In addition to contacting neurons, astrocytes also contact blood vessels, affecting local blood flow by regulating blood vessel diameters by vasoconstriction (e.g., by arachnoid acid) and vasodilation (e.g., by prostaglandins). Astrocytes also physically and functionally contribute to the BBB and its permeability for factors such as molecular traffic of glucose or proteins. Thus, astrocytes are central to the function of a healthy functioning NVU, and overall CNS function.

In the retina, the principal glial cell type are Müller glia (MG), which contact blood vessels and neurons, fulfilling similar functions as astrocytes in the brain. The structure, morphology, and species-specific differences of retinal MGs are well described and MG exhibit at least five apico-basal domains that stretch from the apical stem around photoreceptors to the basal endfoot in the inner limiting membrane. However, MG are not just highly organized apico-basally, but also laterally to interact with other cells; this intercalation between cells is in a so-called tiled fashion, thereby contacting almost all cells within the retina. The retina is protected by two separate components of the BRB. The outer (oBRB) consists of retinal pigment epithelium and the inner (iBRB) is located at the level of the retinal capillaries. The latter is established by MGs and pericytes, with dysfunction being implicated in several retinal diseases such as diabetic retinopathy (DR;;;; ). In the mammalian retina, there are also astrocytes that contact blood vessels and are pivotal as a structural growth template during angiogenesis, mainly via vascular endothelial growth factor (VEGF) and Hypoxia-inducible factor (HIF) pathways, following ganglion cell templates. This suggests that MG and astrocytes may work together in the mammalian retina to influence the development of the NVU as well as to regulate its function. In humans, the retinal astrocytes are limited to the inner vascular plexus, while MG contact both plexi and are likely to induce the BRB functionality/maturity in the deep plexus, raising the likelihood for differential coupling between astrocytes and MG in the healthy and potentially diseased retina. However, MG are the only glia found in the fovea, which is free of astrocytes, microglia, and vascular EC, suggesting that in some regions of the retina MG are sufficient to solely meet the functional needs required for high acuity vision.

Besides the principal glial cells in the brain and retina (i.e., astrocytes and MG), other glial cells exist to fulfill crucial functions in the CNS. During development, progenitors, so-called radial glia, will divide to generate neurons and glia, while also making contact with the vasculature where they contribute to the regulation of CNS angiogenesis. In certain CNS regions, radial glia persist into adulthood as stem cells, contributing to BBB maintenance via retinoic acid signaling. Microglia are the primary immune cells in the CNS, surveying their environment and responding to insult, fulfilling roles in phagocytosis and inflammation where they express both pro-inflammatory (e.g., IL-1β) and anti-inflammatory (e.g., IL-10) molecules, with subsequent upregulation of factors such as Glial Fibrillary Acidic Protein (GFAP). Additionally, microglia-to-astrocyte crosstalk in response to glutamate plays a role in neuro-immune-interactions, and microglia are required for normal neurogenesis, mostly by nerve growth factor (NGF) and tumor necrosis factor (TNF; ). Another type of glia, called ependymal cells, line the brain ventricles, producing cerebrospinal fluid, and subpopulations acting as progenitors for astrocytes and oligodendrocytes. Thus, there are several types of glia found within each CNS tissue, yet several pressing questions remain to understand the importance of glia in the NVU. These include what role do glial cells play in driving NVU formation during development, how are glial cells directed to contact and support multi-cellular units within the NVU, and what are the consequences of dysfunction of these glial components on NVU function.

Glial Support for Neurons in the Neurovascular Unit

The fact that glia are a structurally integral part of the NVU physically linking the vasculature and neurons, emphasizes their functionality in BBB/BRB formation and CNS development.

Glia cells provide structural support to neuronal tissues for anisotropic mechanical tension, and loss of MG in the retina results in tearing of the tissue due to the loss of their biophysical support. Another biophysical role of glia is that they can swell, which subsequently affects the NVU by spatial changes. The impact of glia volume changes on neurons is facilitated and relayed by the fact that glia ensheath pre- and post-synaptic terminals of neurons to form the “tripartite synapse”. Due to this physical proximity, changes in glia cell size can modulate the extracellular space and subsequently neuron excitability. This is achieved by the synergistic activity of Aquaporin 4 (Aqp4), a channel protein, which is needed for water transport and is enriched in astrocytic endfeet, as well as the transient receptor potential cation channel TRPV4 for Ca2+ influx. However, even though Aqp4 and TRPV4 are considered main factors, glia swelling is a complex process and, depending on the context, other factors were shown to play a role in glia volume changes. These include K+ ion transport via connexin 43, Kir 4.1, or Na+/K+-ATPase, and ion flux via Na+-K+-Cl– co-transporter (NKCC1), or glutamate movement via specialized transporters. These factors can also change in disease or upon injury, as exemplified by sulfonylurea receptor 1 – transient receptor potential melastatin 4 (SUR1-TRPM4) which is upregulated in CNS injury, but the impact of such changes on NVU function remain poorly defined.

Besides this physical link, glia also functionally link NVU components, exemplified by their impact on EC junctions, transporters, and pathways (Figure 1;;; ). This functional link is in part achieved by factors such as glial cell line-derived neurotrophic factor (GDNF), VEGF, fibroblast growth factor 2 (FGF2), or angiopoietin-1 (Figures 2B,C;;;;; ). But glia cells are also key to supporting neurotransmission by removal of neurotransmitters to terminate synaptic transmission and reestablish neuronal excitability, thus avoiding toxic overstimulation, called excitotoxicity. Glia also directly regulate neuronal activity within the synapse and synchronize/modulate synaptic inputs on the level of signaling via gliotransmitters, such as gamma-aminobutyric acid (GABA), glutamate, or cytokines. The major neurotransmitters are the excitatory glutamate and the inhibitory GABA, working together to regulate CNS function. Following the removal of neurotransmitters from the synaptic cleft, glia cells transfer these neurotransmitters back to neurons in a process called the glutamate-glutamine cycle that requires ammonia (NH3) and ammonium ion (NH4+) derived from NVU blood vessels, thus reestablishing functional neuron neurotransmitter pools. This maintenance of synaptic potentials comes at a very high metabolic cost with the energy for this provided by astrocytes and blood vessels. While it was previously assumed that both glutamate and GABAergic neurons are under astrocytic control, a recent in vitro study challenges this, suggesting that GABAergic neurons establish functional synaptic transmission without glia. Another neuromodulator released from neurons or glia, impacting neuronal function, is adenosine derived from adenosine triphosphate (ATP) breakdown. Adenosine stimulates receptors that regulate the release of GABA, glutamate, acetylcholine, noradrenaline, 5-HT, and dopamine.

Thus, glia are specialized morphologically, biophysically, and molecularly to support and regulate the NVU. However, the multitude of glial functions within the NVU makes it challenging to discern which mechanisms are necessary and sufficient for NVU form and function. To understand the role of glia cells, further studies are needed where glia cells are disrupted (i.e., lacking, inhibited, or overactive). Such studies will allow us to disentangle NVU interactions, establish the exact role of glia cells within it and the pathophysiological consequences.

Glia Cells and the Neurovascular Unit Vasculature: Angiogenesis and Regulation of Blood Flow

As glia directly contact and ensheath blood vessels, they directly influence EC structure and function rather than passively co-exist. Indeed, in the last decade, it has become clear that glial cells play an active role in facilitating vascular angiogenesis via expression of factors, such as VEGF or transforming growth factor 1β (TGF-1β) in radial glia cells. Moreover, radial glia were shown to stabilize murine nascent cortex vessels via inhibition of Wnt signaling and proliferation in EC in a contact- and age-dependent manner, a process which is potentially mediated by MMP-2. Glia cells, specifically CNS-specific macrophages (microglia), were also shown to play pivotal roles in the fusion of blood vessels, called anastomosis. This is achieved by Notch1-expressing macrophages that link path-seeking dll4-expressing vascular tip cells as well as by acting as physical chaperones which express TIE2 and NRP1, regulating anastomosis downstream of VEGF-mediated endothelial tip cell induction. After vessel- and NVU-formation, glia are also pivotal for BBB maturity, via factors such as retinoic acid supplied by radial glial cells, which increases BBB stability and the expression of BBB-specific genes such as p-glycoprotein (P-gp), occludin, and Glut-1 [see details for BBB transport systems and junctions]. Similarly, astrocytic Src suppressed C kinase substrate (SSeCKS) reduces VEGF and increases EC tight junctions, or astrocytic angiotensin-converting enzyme-1 (ACE-1), which produces angiotensin II that facilitates BBB maturation and junction protein stabilization. ECs and glia interact bidirectionally in NVU development. Firstly, radial glia support EC maturation toward decreased proliferation, reduced tip cell marker DLL4, and reduced vascular permeability, thus supporting BBB maturation. Subsequently, ECs increase GFAP-positivity in radial glia in a VEGF-A dependent manner, leading to astrocyte differentiation and NVU formation. In addition to these molecular impacts, the migration patterns of blood vessels, astrocytes, and neurons are closely associated with each other like scaffolds, with astrocytes providing VEGF for EC migration and, vice versa, ECs in turn provide oxygen for astrocyte differentiation. Critically, in pathology, lactate-stimulated MG express G-protein–coupled receptor 81 (GPR81), which triggers neovascularization via pathways such as Wnt or Norrin.

Besides these roles in angiogenesis, glia are also pivotal in regulating blood flow via regulating NVU synaptic activity as well as by releasing factors such as calcium, NO, arachidonic acid, and prostaglandins. It was also shown that angiotensinogen-to-angiotensin II cleavage occurs in glia, with angiotensin I receptor (AT1-R) causing vasoconstriction, while AT2-R causing vasodilation. Moreover, glia contribute to vasodilation indirectly by interaction with other NVU components such as pericytes, which then, in turn, impacts the vasodilatory state. Here, one important molecule is calcium, with calcium signaling not only being coordinated between glia cells, but also ECs. It remains to be understood to which extent glia-EC signaling is indirectly (via neurons or pericytes) or directly coupled. Lastly, neuron-derived NO regulates glia-mediated vasodilation via prostanoids and epoxyeicosatrienoic acids. Together, glial cells therefore not only play a role in angiogenesis, anastomosis, EC maturation, and blood flow regulation, with glia dysfunction potentially leading to BBB breakdown, pathological vascularization, dysregulation of vasoregulation and failure to deliver sufficient oxygenation.

Reciprocal Neuronal-to-Vascular Transport via Glia

As the CNS has high metabolic demands and lacks a carbohydrate storage system, the NVU is critical to serving the retina and brain metabolic needs as glucose has to be continuously supplied via the blood to meet the constant CNS energy demand. This is particularly crucial as neurons rely on oxidative metabolism, making them sensitive to changes in levels of oxygen and potentially ischemia; on the other hand, astrocytes rely on glycolytic metabolism, and glucose can be stored in them in the form of glycogen, rendering them central players in NVU and CNS metabolism. Crucially, pyruvate carboxylase, an enzyme that is key to synthesizing the neurotransmitter glutamate from glucose via the anaplerotic pathway, is almost exclusively expressed in astrocytes, positioning them as essential producers of the neurotransmitters GABA and glutamate. Recently it was shown that retinal MG also conduct anaplerosis, suggesting that MG support retinal NVU metabolism similar to astrocytes in the brain.

While the majority of vascular-to-neuron glucose metabolism occurs directly via glia in the NVU, a minor proportion of the glucose flux happens directly between blood vessels and neurons. At the end of glycolysis, lactate and pyruvate are produced, but instead of being merely “end-products” they are utilized further to generate energy. Indeed, lactate is taken up by neurons and is metabolized in preference to glucose when both are available. Once transported into the neuron, lactate is converted to pyruvate and used for ATP production. Thus, glia not only provide compounds for neurons but also complement them in their metabolic requirements. Besides glucose metabolism, astrocytes are also crucial for fatty acid oxidation (FAO) to generate ATP, and catabolic ketogenesis to generate ketone bodies for neuronal metabolism; with ketone bodies or lactate being used by neurons as an energy substrate to produce ATP. Importantly, neurons produce toxic fatty acids that are endocytosed by NVU astrocytes for cytoprotection and CNS health. Metabolically, astrocytes also play a critical role in L-serine de novo synthesis, which is converted to D-serine in neurons, acting as a co-agonist of N-methyl-D-aspartate (NMDA) receptors. Together, these data demonstrate that glial cells play a key role in maintaining the homeostatic status of the metabolism of neurotransmitters, glucose, FAO, L-serine, as well as NO, essential for maintaining normal function of the NVU. Any disturbance of this fine-tuned balance, therefore, such as would occur in diseases as diverse as stroke and diabetes, will influence NVU function resulting in further failure to supply adequate essential substrates for normal neuronal function.

In addition to the above metabolic coupling, neuron-to-vascular coupling is achieved by NO, a gaseous neurotransmitter acting as a vasodilator that is needed for neurovascular coupling and regulating the vasodilatory vascular response, called functional hyperemia. In hyperemia, glia cells are essential in relaying either vasodilation or vasoconstriction depending on the available NO concentration. Further to physiological NO, glia-mediated NO and gliosis-related production of reactive oxygen (ROS) or nitrogen species (RNS), play a role in nitro-oxidative stress such as in neuroinflammation and disease such as epileptogenesis. Indeed, Sharma et al. suggest that epilepsy is preceded by a cascade of reactive gliosis, ROS/RNS, inflammatory cytokines, and neurodegeneration. This neuro-vascular metabolic coupling of glucose, fatty acid, L-serine, and NO via glia is dependent on glia directly contacting ECs within the NVU. The required spatial connections between endfeet and ECs are partially achieved via connexins, which form intercellular gap junction channels and hemichannels that are expressed in ECs and astrocyte endfeet, as well as are associated with BBB maturation. Also, Pannexins (Panx) that resemble connexin-based hemichannels, are thought to play a role in vasculo-neuro coupling although there is still a debate on their function in CNS development and health.

Glial Cells and the Neurovascular Unit in Disease – Pathogenesis, and Dysfunction

Beyond their roles in physiological conditions, glia and microglia contribute to neuroinflammation in response to injury, stroke, or other neurological diseases. They act as primary initiators of the inflammation cascade by increased reactivity and the secretion of factors such as chemokines. One ubiquitous biomarker of so-called glial activation is increased expression of GFAP. Despite the extensive list of definitions for different glia cell states, the field agrees that inactive and reactive glia cells display changes in molecular profiles, including alterations in the cytoskeleton, metabolism, chaperones, secreted proteins, signaling proteins, and transporters. These molecular changes are accompanied by morphological transformation in cellular phenotype, such as hypertrophy, which may impact the ability of glial cells to provide multiple support functions for each NVU component(s) and hence its uncoupling.

Besides the physiological functions of glial cells in inflammation, their roles in pathological settings are of wider interest. For example, increasing evidence also shows glia as a link between vascular and neurological contributions in cognitive impairment, Alzheimer’s Disease (AD), and seizures. Neuropathologically, AD is characterized by intracellular neurofibrillary tangles and brain parenchymal amyloid β-peptide (Aβ) deposits. The latter form neuritic plaques and cerebral amyloid angiopathy, leading to angiopathy and NVU dysregulation. Astrocytes have been shown to degrade amyloid-beta in an apolipoprotein E (APOE)-dependent manner, a process that could be impaired in AD, leading to plaque formation. Neurodegenerative disorders are complex conditions with multiple underlying causes and the role of glia has not been fully elucidated. Nevertheless, several astrocyte/glia risk factor genes, such as APOE, particularly the E4 isoform or Clusterin (CLU) and FERM Domain Containing Kindlin 2 (FERMT2), have been identified for AD. Also, it is generally acknowledged that AD involves inflammatory responses, initiated, or mediated via microglia and astrocytes that lead to BBB breakdown. Throughout AD disease progression, different aspects were found to affect the NVU. In pre-senile AD, increased proliferation (Ki-67), gliosis (GFAP), and vascular changes, but not neurogenesis were shown. In late-onset AD, vascular dysregulation and BBB breakdown are considered as the earliest biomarker, with vascular dysregulation preceding changes in amyloid beta deposition, metabolism, function, structure, and memory. However, future work is needed to link genetic and mechanistic causes of AD and the spatiotemporal impacts on individual NVU components and NVU function.

In the retina, understanding the NVU and glia contribution is of particular interest as NVU dysfunction can precede neural dysfunction in patient retinas, such as in patients with Type 1 Diabetes who exhibit DR. In DR and other retinal diseases, inflammation and accompanying side effects are critical contributors to disease progression and vision loss. Crucially, it has been shown that MG provide VEGF, which contributes to the upregulation of inflammatory markers, such as ICAM1 and TNFα. These pro-inflammatory compounds induce pathological vascular leakage and retinal neovascularization, making anti-VEGF therapies an important therapeutic strategy in DR. In DR, it was shown that the MGs that express VEGF display a distinct morphology, suggesting that they enter a reactive phenotype with altered function before expressing VEGF, which in turn leads to changes in NVU and vascular function. Besides morphological changes and increased VEGF expression, MG also show altered expression of trophic factors in DR, such as NGF, brain-derived neurotrophic factor (BDNF), neurotrophin-3 (NT-3), neurotrophin-4 (NT-4), ciliary neurotrophic factor (CNTF), or glial cell line-derived neurotrophic factor (GDNF), as well as inflammatory factors such as interleukin 1β (IL-1β), IL-6, IL-8, and TNF-α. Together, these factors contribute to disease progression and neuron survival. Indeed, in diabetes, it is likely that such changes result in early NVU dysfunction and subsequent failure of neurovascular coupling and hence an insufficient supply of nutrients, which then cause further damage to the NVU. Another retinal disease with clear implications of MG dysfunction is macular telangiectasia 2 which causes loss of central vision due to vascular defects (MacTel 2). Critically, it was shown that loss of MG matches the area of macular pigment depletion in MacTel 2 patients. Moreover, the loss of these MG impacts on the NVU as a secondary hallmark feature of MacTel 2 is the formation of dysfunctional telangiectatic vessels. One potentially crucial aspect when thinking about the regional restriction of MG loss and vascular defects is that macular MG rely more on serine biosynthesis than peripheral MG, with serine synthesis disruption resulting in mitochondria dysfunction and oxidative stress and ultimately retinal pathology. This retinal pathology is also associated with swelling-induced MG volume changes and penetration of astrocytes into deeper layers. Thus, rather than having a passive role in pathogenesis, the activation state of glia, together with changes in their morphology and molecular expression, is directly associated with disease progression of diseases such as DR and MacTel 2.

Finally, it is important to note that retinal demand for oxygen is even greater than that of the brain. This is especially so during dark adaptation when metabolic activity and oxygen demand is high. The configuration of the vascular supply to the retina means that during high demand the functional reserve of oxygen is minimal, even when neurovascular coupling maximizes functional hyperemia. This makes the retina extremely vulnerable to hypoxic damage and so even small alterations to the function of any component of the NVU, including MG, is likely to result in compromised retinal function.

Combining the Strengths of Models

As the NVU is a heterologous structure formed by different cell types, it is crucial to study the NVU, and the role of glial cells in it, in various models to understand how those cells integrate to form a functional NVU. Despite our increased understanding of NVU and BBB formation, our insight into the exact processes that glial cells regulate in NVU formation and function is still far from complete. This is emphasized by the fact that in vivo studies are still limited in experimental scope and flexibility.

As an in vivo model, rodents are an invaluable pre-clinical asset to study glia and their role in the NVU. However, caution has to be paid when wanting to draw direct conclusions from pre-clinical models. For example rodent glial cells are smaller and less complex than human glial cells, with human astrocytes being 2.6-fold larger, 10-fold more GFAP-positive primary processes, and relaying signals faster, suggesting that NVU metabolism and signaling dynamics are different between rodents and human. Similarly, certain glial cells are primate-specific, such as interlaminar astrocytes, and can therefore not be studied in rodents. To complement NVU and glia studies in rodents, zebrafish have also been invaluable, particularly as NVU function and development can be studied in real-time in vivo and throughout the CNS. Zebrafish characteristics, such as ex utero development, genetic tractability, and embryonic transparency render them a crucial asset. Crucially, the site of the BBB is conserved in zebrafish and humans in capillary ECs. However, even though neurovascular coupling was shown to be conserved, it remains to be answered to which extent the NVU is truly conserved across species. Again, glia in zebrafish and mammals show differences, exemplified by the lack of typical stellate astrocytes in zebrafish as well as the fact that progenitor cells are widely maintained in the zebrafish adult CNS while being mostly transient in mammals. However, zebrafish are being increasingly used as an experimental model to contribute to the understanding of astrocyte development and function. Importantly, zebrafish radial glia are capable of adult neurogenesis and harbor a very high regenerative capacity, making zebrafish a suitable model to study de- and re-generation. In vitro, reductionist models have also been invaluable in providing insights to study glia and their role in the NVU. However, glial cultures, originally established by dissociation and plating of brain homogenates, lose their structural context, rendering the information obtained of limited relevance. Similarly, cultured MGs were previously shown to de-differentiate casting doubt on the translatability of the data to in vivo settings. Advancements in establishing 3D cell cultures, however, have allowed for more physiological insights into glia biology. This is especially the case when considering recent NVU studies in organoids and organ-on-a-chip models. Still, in comparison to in vivo models, in vitro studies are often considered to provide limited insight into their tissue context and developmental processes only recapitulating single-timepoint and -context information.

Manipulating the Composition and Function of the Neurovascular Unit

Our morphological and functional understanding of the NVU, through examining the molecular composition and regional specifications of the different cell types in the CNS, has also advanced significantly. This has allowed us to begin to understand the molecular profiles of cellular components of the NVU as well as their specialization and conservation across species. One aspect of particular interest is to examine glia-to-EC contacts, whether this is impacted by regional specialization, and whether this and NVU function, is influenced by glia/EC identities. Understanding such specializations will provide novel insights into the integration of CNS barriers provided by the ECs, basal lamina, and glia limitans, as their specialization might cause them to respond differently to stimulation, injury, or disease and how it affects the NVU. Regional specializations and barrier properties might also elucidate new routes for drug delivery. Thus, to understand how NVU components function as a unit, it is also crucial to establish the contribution of the individual components and how different NVU cell types combine spatially and functionally together. While the latter can be achieved by careful observation, the former usually requires system changes, ideally cell-specific, to be introduced (e.g., removal, over-expression, inhibition of proteins or cells, etc.). This is exemplified by a recent study that used tamoxifen-inducible astrocyte ablation in mice, showing that astrocytes are key to maintaining the integrity of the BBB as loss of astrocytes coincided with vascular leakage and decreased EC ZO-1 expression and BRB, thus confirming early work undertaken over three decades ago. This BBB alteration could not be rescued by other cells. Moreover, these alterations were accompanied by non-proliferative astrogliosis which, over time, limited vascular leakage. In addition, functional imaging is allowing the unraveling of NVU functions such as neuronal activity using dynamic calcium imaging and cellular relationships following metabolic compound exchanges. Similarly, optokinetic response measurements are increasingly used to measure visual acuity. Linked to performing functional imaging, understanding metabolic fluxes, storage, and turnover is crucial in beginning to understand how NVU components communicate and support each other’s function and how they may be disturbed in disease. This understanding of metabolic pathways is particularly challenging as metabolites are difficult to visualize, particularly over long periods of time. Multi-modal studies using live dyes, in vitro designs, as well as computational modeling, will help in the understanding metabolic pathways, fluxes via glia, as well as direct neuron-to-vascular transport.

In vivo Imaging and Objective Quantification to Understand Glial Cell Interactions

To understand the role of glia and the NVU, the correct tools are needed to visualize components with sufficient resolution to resolve subcellular structures. For this, zebrafish are particularly well suited as transgenic reporter lines exist to label as well as manipulate (i.e., upregulation, downregulation, and loss of function) each component of the NVU in vivo. As such, multi-transgenic reporter lines can be generated to visualize complex cell structures and interactions in the developing retina. Further, the function of the NVU can be visualized in real-time in vivo using several physiological readouts such as blood flow (e.g., red blood cell movement) or neuronal activity (calcium reporters). Elaborate integrations of NVU studies are needed to answer questions on the spatiotemporal integration of angiogenesis, barrierogenesis, gliogenesis, and NVU function. This is exemplified by recent studies showing that neuronal activity during development impacts glial maturation at the synapse. However, it is unclear how these events may in turn influence glial support for neurons and ultimately NVU formation. Combining state-of-the-art visualization tools, examinations of NVU dynamics and functional studies in vivo will compliment high-resolution structural studies [e.g., electron microscopy] and provide further insights into the roles of glia in the form and function of the NVU.

As glial morphology is tightly linked to their function, quantitative objective analysis of glia morphology can provide novel insights. Recent advances in NVU in vivo imaging, such as Two-photon microscopy (TPM), Intrinsic optical signal imaging (IOSI), Optical coherence tomography (OCT), or Laser speckle contrast imaging (LSCI) will greatly contribute to our understanding of NVU functionality and dynamics. This will enable imaging of functional readouts, such as blood flow, following neuronal stimuli including exposure to light flicker in the retina, to ascertain the impact of glial dysfunction on neurovascular coupling mediated events. This is complemented by ever more sophisticated tools in which to study the NVU in freely behaving animals as well as the ability to investigate NVU function during development. The advancement of imaging modalities and spatio-temporal resolution offers great benefits for understanding these developmental and functional relationships in the NVU (Figure 3). However, one drawback to having this increase in resolution is the exponential increase in the amount of data that is generated per experiment. With the vast amount of experimental data, data analysis and computational expertise has become a limiting factor for many laboratories. Trained specialists and specialized data analysis training are needed to extract meaningful data in a high-throughput, standardized, and objective manner. Dedicated specialized computational approaches can address this analytical bottleneck to analyze data, and push scientific boundaries by computationally modeling what is experimentally impossible. This could be by in silico multi-transgenics (i.e., artificially overlaying transgene expression on a reference tissue) to establish a virtual retina atlas, similar to the zebrafish brain atlas, allowing for further neuronal activity mapping and co-localization analysis in silico. Similarly, deep learning approaches open new avenues from feature mining, over retinal ganglion counting, to fundus and OCT analysis. Furthermore, this is accompanied by an increased assessment of feature and data connectivity and relationships, such as principal component analysis and Uniform Manifold Approximation and Projection. Additionally, carefully designed data analysis workflows will provide new insights into our data and the NVU, most likely in a way that is beyond current comprehension.

The coupling of quantitative analysis of glia shape and NVU function will also be essential in understanding the kinetics of NVU degeneration and dysfunction in disease. This is exemplified by studies that link cell feature information to genomic profiles or even link feature analysis to image cytometry, which measures cellular protein and DNA in images. Once robust and repeatable ways to characterize glia morphology are established, it will be possible to directly link cell morphology to function and to their molecular profiles, which could then in turn be linked to NVU functionality studies. One prominent example used transcriptomics to identify and classify retinal bipolar cells by matching their molecular expression with cell morphology. These comprehensive experimental paradigms could be used for each component in the NVU, throughout its development, to identify the molecular mechanisms regulating cell shape, function, and connectivity. These insights into precise cellular mechanisms that control the development and function of the NVU may also inform the pathogenesis of disease in mature tissues. As such, identification of the molecular and morphological changes (e.g., glial hypertrophy), that potentially precede pathology in disease, would facilitate the diagnosis of NVU dysfunction and provide the opportunity for early treatment and better clinical outcomes.

Conclusion

It is increasingly clear that glial cells are critical for NVU development, function, maintenance, and dysfunction in disease. However, uncovering the precise contribution of glial cells to the NVU has been challenging to date, particularly when trying to understand and integrate their dual contribution to neurons and the vasculature. With the advancement of imaging, computational and genetic tools, it will be possible to use multidimensional approaches (morphology, function, genetics, interactions, and dynamics) to clarify the exact role(s) of glial cells in the NVU. Examining the role of glia in the “neuro-glial-vascular unit” with such a holistic approach will enhance the understanding, diagnosis, and treatment of aging and disease in the nervous system.

Author Contributions

EK, JG, and RM contributed to the conception and design of the study. EK wrote the first draft of the manuscript. All authors contributed to manuscript revision, read, and approved the submitted version.

Conflict of Interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Publisher’s Note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

References 219

  1. 1.

    Abbott N. J. Rönnbäck L. Hansson E. (2006 ). Astrocyte–endothelial interactions at the blood–brain barrier. Nat. Rev. Neurosci. 7 41–53.

    Not in our library10.1038/nrn1824

  2. 2.

    Akiyama H. Barger S. Barnum S. Bradt B. Bauer J. Cole G. M. (2000 ). Inflammation and Alzheimer’s disease. Neurobiol. Aging 21 383–421.

    Not in our library10.1016/s0197-4580(00)00124-x

  3. 3.

    Allaoui M. Kherfi M. L. Cheriet A. (2020 ). “Considerably improving clustering algorithms using UMAP dimensionality reduction technique: a comparative study,” in Image and Signal Processing Lecture Notes in Computer Science, eds El Moataz A. Mammass D. Mansouri A. Nouboud F. (Cham: Springer International Publishing), 317–325.

    Not in our library10.1007/978-3-030-51935-3_34

  4. 4.

    Angueyra J. M. Kindt K. S. (2018 ). Leveraging zebrafish to study retinal degenerations. Front. Cell Dev. Biol. 6:110.

    Not in our library10.3389/fcell.2018.00110

  5. 5.

    Araque A. Parpura V. Sanzgiri R. P. Haydon P. G. (1999 ). Tripartite synapses: glia, the unacknowledged partner. Trends Neurosci. 22 208–215.

    Not in our library10.1016/s0166-2236(98)01349-6

  6. 6.

    Argente-Arizón P. Guerra-Cantera S. Garcia-Segura L. M. Argente J. Chowen J. A. (2017 ). Glial cells and energy balance. J. Mol. Endocrinol. 58 R59–R71.

    Not in our library10.1530/jme-16-0182

  7. 7.

    Armulik A. Genové G. Mäe M. Nisancioglu M. H. Wallgard E. Niaudet C. (2010 ). Pericytes regulate the blood-brain barrier. Nature 468 557–561.

    Not in our library10.1038/nature09522

  8. 8.

    Ashraf M. Sampani K. Clermont A. Abu-Qamar O. Rhee J. Silva P. S. (2020 ). Vascular density of deep, intermediate and superficial vascular plexuses are differentially affected by diabetic retinopathy severity. Invest. Ophthalmol. Vis. Sci. 61 53–53.

    Not in our library10.1167/iovs.61.10.53

  9. 9.

    Attwell D. Buchan A. M. Charpak S. Lauritzen M. MacVicar B. A. Newman E. A. (2010 ). Glial and neuronal control of brain blood flow. Nature 468 232–243.

    Not in our library10.1038/nature09613

  10. 10.

    Badar M. Haris M. Fatima A. (2020 ). Application of deep learning for retinal image analysis: a review. Comput. Sci. Rev. 35:100203.

    Not in our library10.1016/j.cosrev.2019.100203

  11. 11.

    Bak L. K. Schousboe A. Waagepetersen H. S. (2006 ). The glutamate/GABA-glutamine cycle: aspects of transport, neurotransmitter homeostasis and ammonia transfer. J. Neurochem. 98 641–653.

    Not in our library10.1111/j.1471-4159.2006.03913.x

  12. 12.

    Bélanger M. Magistretti P. J. (2009 ). The role of astroglia in neuroprotection. Dialogues Clin. Neurosci. 11 281–295.

    Not in our library10.31887/dcns.2009.11.3/mbelanger

  13. 13.

    Bell R. D. Winkler E. A. Sagare A. P. Singh I. LaRue B. Deane R. (2010 ). Pericytes control key neurovascular functions and neuronal phenotype in the adult brain and during brain aging. Neuron 68 409–427.

    Not in our library10.1016/j.neuron.2010.09.043

  14. 14.

    Ben Haim L. Rowitch D. H. (2017 ). Functional diversity of astrocytes in neural circuit regulation. Nat. Rev. Neurosci. 18 31–41.

    Not in our library10.1038/nrn.2016.159

  15. 15.

    Biesecker K. R. Srienc A. I. Shimoda A. M. Agarwal A. Bergles D. E. Kofuji P. (2016 ). Glial cell calcium signaling mediates capillary regulation of blood flow in the retina. J. Neurosci. 36 9435–9445.

    Not in our library10.1523/jneurosci.1782-16.2016

  16. 16.

    Bigio M. R. D. (2010 ). Ependymal cells: biology and pathology. Acta Neuropathol. 119 55–73.

    Not in our library10.1007/s00401-009-0624-y

  17. 17.

    Biswas S. Bachay G. Chu J. Hunter D. D. Brunken W. J. (2017 ). Laminin-dependent interaction between astrocytes and microglia: a role in retinal angiogenesis. Am. J. Pathol. 187 2112–2127.

    Not in our library10.1016/j.ajpath.2017.05.016

  18. 18.

    Blanco-Suarez E. Liu T.-F. Kopelevich A. Allen N. J. (2018 ). Astrocyte-secreted chordin-like 1 drives synapse maturation and limits plasticity by increasing synaptic GluA2 AMPA receptors. Neuron 100 1116–1132.e13.

    Not in our library10.1016/j.neuron.2018.09.043

  19. 19.

    Boekhoorn K. Joels M. Lucassen P. J. (2006 ). Increased proliferation reflects glial and vascular-associated changes, but not neurogenesis in the presenile Alzheimer hippocampus. Neurobiol. Dis. 24 1–14.

    Not in our library10.1016/j.nbd.2006.04.017

  20. 20.

    Booher J. Sensenbrenner M. (1972 ). Growth and cultivation of dissociated neurons and glial cells from embryonic chick, rat and human brain in flask cultures. Neurobiology 2 97–105.

    Not in our library

  21. 21.

    Boss J. D. Singh P. K. Pandya H. K. Tosi J. Kim C. Tewari A. (2017 ). Assessment of neurotrophins and inflammatory mediators in vitreous of patients with diabetic retinopathy. Invest. Ophthalmol. Vis. Sci. 58 5594–5603.

    Not in our library10.1167/iovs.17-21973

  22. 22.

    Bouzier-Sore A.-K. Voisin P. Bouchaud V. Bezancon E. Franconi J.-M. Pellerin L. (2006 ). Competition between glucose and lactate as oxidative energy substrates in both neurons and astrocytes: a comparative NMR study. Eur. J. Neurosci. 24 1687–1694.

    Not in our library10.1111/j.1460-9568.2006.05056.x

  23. 23.

    Bouzier-Sore A.-K. Voisin P. Canioni P. Magistretti P. J. Pellerin L. (2003 ). Lactate is a preferential oxidative energy substrate over glucose for neurons in culture. J. Cereb. Blood Flow Metab. 23 1298–1306.

    Not in our library10.1097/01.wcb.0000091761.61714.25

  24. 24.

    Bozoyan L. Khlghatyan J. Saghatelyan A. (2012 ). Astrocytes control the development of the migration-promoting vasculature scaffold in the postnatal brain via VEGF signaling. J. Neurosci. 32 1687–1704.

    Not in our library10.1523/jneurosci.5531-11.2012

  25. 25.

    Burda J. E. Sofroniew M. V. (2014 ). Reactive gliosis and the multicellular response to CNS damage and disease. Neuron 81 229–248.

    Not in our library10.1016/j.neuron.2013.12.034

  26. 26.

    Butt A. M. (2011 ). ATP: a ubiquitous gliotransmitter integrating neuron–glial networks. Semin. Cell Dev. Biol. 22 205–213.

    Not in our library10.1016/j.semcdb.2011.02.023

  27. 27.

    Cahoy J. D. Emery B. Kaushal A. Foo L. C. Zamanian J. L. Christopherson K. S. (2008 ). A transcriptome database for astrocytes, neurons, and oligodendrocytes: a new resource for understanding brain development and function. J. Neurosci. 28 264–278.

    Not in our library10.1523/jneurosci.4178-07.2008

  28. 28.

    Cajal R. (1995 ). Cajal’s Histology of the Nervous System of Man and Vertebrates. Oxford: Oxford University Press.

    Not in our library

  29. 29.

    Cekanaviciute E. Buckwalter M. S. (2016 ). Astrocytes: integrative regulators of neuroinflammation in stroke and other neurological diseases. Neurotherapeutics 13 685–701.

    Not in our library10.1007/s13311-016-0477-8

  30. 30.

    Chai H. Diaz-Castro B. Shigetomi E. Monte E. Octeau J. C. Yu X. (2017 ). Neural circuit-specialized astrocytes: transcriptomic, proteomic, morphological, and functional evidence. Neuron 95 531–549.e9.

    Not in our library10.1016/j.neuron.2017.06.029

  31. 31.

    Chen J. Poskanzer K. E. Freeman M. R. Monk K. R. (2020 ). Live-imaging of astrocyte morphogenesis and function in zebrafish neural circuits. Nat. Neurosci. 23 1297–1306.

    Not in our library10.1038/s41593-020-0703-x

  32. 32.

    Chhabria K. Plant K. Bandmann O. Wilkinson R. N. Martin C. Kugler E. (2018 ). The effect of hyperglycemia on neurovascular coupling and cerebrovascular patterning in zebrafish. J. Cereb. Blood Flow Metab. 40 298–313.

    Not in our library10.1177/0271678x18810615

  33. 33.

    Chico T. J. A. Kugler E. C. (2021 ). Cerebrovascular development: mechanisms and experimental approaches. Cell. Mol. Life Sci. 78 4377–4398.

    Not in our library10.1007/s00018-021-03790-1

  34. 34.

    Coffey P. J. Gias C. McDermott C. J. Lundh P. Pickering M. C. Sethi C. (2007 ). Complement factor H deficiency in aged mice causes retinal abnormalities and visual dysfunction. Proc. Natl. Acad. Sci. U.S.A. 104 16651–16656.

    Not in our library10.1073/pnas.0705079104

  35. 35.

    Colombo J. A. Reisin H. D. (2004 ). Interlaminar astroglia of the cerebral cortex: a marker of the primate brain. Brain Res. 1006 126–131.

    Not in our library10.1016/j.brainres.2004.02.003

  36. 36.

    Colombo J. A. Yáñez A. Puissant V. Lipina S. (1995 ). Long, interlaminar astroglial cell processes in the cortex of adult monkeys. J. Neurosci. Res. 40 551–556.

    Not in our library10.1002/jnr.490400414

  37. 37.
  38. 38.

    Cunha-Vaz J. Bernardes R. Lobo C. (2011 ). Blood-retinal barrier. Eur. J. Ophthalmol. 21 3–9.

    Not in our library10.5301/ejo.2010.6049

  39. 39.

    da Silva S. M. Campos G. D. Gomes F. C. A. Stipursky J. (2019 ). Radial glia-endothelial cells’ bidirectional interactions control vascular maturation and astrocyte differentiation: impact for blood-brain barrier formation. Curr. Neurovasc. Res. 16 291–300.

    Not in our library10.2174/1567202616666191014120156

  40. 40.
  41. 41.

    Diaz-Arrastia R. Wang K. K. W. Papa L. Sorani M. D. Yue J. K. Puccio A. M. (2013 ). Acute biomarkers of traumatic brain injury: relationship between plasma levels of ubiquitin C-terminal hydrolase-L1 and glial fibrillary acidic protein. J. Neurotrauma 31 19–25.

    Not in our library10.1089/neu.2013.3040

  42. 42.

    Díaz-Coránguez M. Ramos C. Antonetti D. A. (2017 ). The inner blood-retinal barrier: cellular basis and development. Vis. Res. 139 123–137.

    Not in our library10.1016/j.visres.2017.05.009

  43. 43.

    Dietrich M. Hecker C. Hilla A. Cruz-Herranz A. Hartung H.-P. Fischer D. (2019 ). Using optical coherence tomography and optokinetic response as structural and functional visual system readouts in mice and rats. J. Vis. Exp. 143:e58571.

    Not in our library10.3791/58571

  44. 44.

    Dollar P. Tu Z. Tao H. Belongie S. (2007 ). “Feature mining for image classification,” in Proceedings of the 2007 IEEE Conference on Computer Vision and Pattern Recognition, Minneapolis, MN, 1–8.

    Not in our library10.1109/cvpr.2007.383046

  45. 45.

    Duan L.-J. Pan S. J. Sato T. N. Fong G.-H. (2017 ). Retinal angiogenesis regulates astrocytic differentiation in neonatal mouse retinas by oxygen dependent mechanisms. Sci. Rep. 7:17608.

    Not in our library10.1038/s41598-017-17962-2

  46. 46.

    Duke D. C. Moran L. B. Turkheimer F. E. Banati R. Graeber M. B. (2004 ). Microglia in culture: what genes do they express? DNE 26 30–37.

    Not in our library10.1159/000080709

  47. 47.

    Edison P. Donat C. K. Sastre M. (2018 ). In vivo imaging of glial activation in Alzheimer’s disease. Front. Neurol. 9:625.

    Not in our library10.3389/fneur.2018.00625

  48. 48.

    Elbaz B. Popko B. (2019 ). Molecular control of oligodendrocyte development. Trends Neurosci. 42 263–277.

    Not in our library10.1016/j.tins.2019.01.002

  49. 49.

    Escartin C. Galea E. Lakatos A. O’Callaghan J. P. Petzold G. C. Serrano-Pozo A. (2021 ). Reactive astrocyte nomenclature, definitions, and future directions. Nat. Neurosci. 24 312–325.

    Not in our library10.1038/s41593-020-00783-4

  50. 50.

    Falk S. Götz M. (2017 ). Glial control of neurogenesis. Curr. Opin. Neurobiol. 47 188–195.

    Not in our library10.1016/j.conb.2017.10.025

  51. 51.

    Fanning A. S. Mitic L. L. Anderson J. M. (1999 ). Transmembrane proteins in the tight junction barrier. J. Am. Soc. Nephrol. 10 1337–1345.

    Not in our library10.1681/asn.v1061337

  52. 52.

    Fantin A. Vieira J. M. Gestri G. Denti L. Schwarz Q. Prykhozhij S. (2010 ). Tissue macrophages act as cellular chaperones for vascular anastomosis downstream of VEGF-mediated endothelial tip cell induction. Blood 116 829–840.

    Not in our library10.1182/blood-2009-12-257832

  53. 53.

    Fellin T. (2009 ). Communication between neurons and astrocytes: relevance to the modulation of synaptic and network activity. J. Neurochem. 108 533–544.

    Not in our library10.1111/j.1471-4159.2008.05830.x

  54. 54.

    Fellin T. Pascual O. Gobbo S. Pozzan T. Haydon P. G. Carmignoto G. (2004 ). Neuronal synchrony mediated by astrocytic glutamate through activation of extrasynaptic NMDA receptors. Neuron 43 729–743.

    Not in our library10.1016/j.neuron.2004.08.011

  55. 55.

    Fletcher E. L. Phipps J. A. Ward M. M. Vessey K. A. Wilkinson-Berka J. L. (2010 ). The renin–angiotensin system in retinal health and disease: its influence on neurons, glia and the vasculature. Prog. Retin. Eye Res. 29 284–311.

    Not in our library10.1016/j.preteyeres.2010.03.003

  56. 56.

    Florence C. M. Baillie L. D. Mulligan S. J. (2012 ). Dynamic volume changes in astrocytes are an intrinsic phenomenon mediated by bicarbonate ion flux. PLoS One 7:e51124.

    Not in our library10.1371/journal.pone.0051124

  57. 57.

    Forrester J. V. McMenamin P. G. Dando S. J. (2018 ). CNS infection and immune privilege. Nat. Rev. Neurosci. 19 655–671.

    Not in our library10.1038/s41583-018-0070-8

  58. 58.

    Frey T. Antonetti D. A. (2011 ). Alterations to the blood–retinal barrier in diabetes: cytokines and reactive oxygen species. Antioxid. Redox Signal. 15 1271–1284.

    Not in our library10.1089/ars.2011.3906

  59. 59.

    Fruttiger M. (2007 ). Development of the retinal vasculature. Angiogenesis 10 77–88.

    Not in our library10.1007/s10456-007-9065-1

  60. 60.

    Furube E. Ishii H. Nambu Y. Kurganov E. Nagaoka S. Morita M. (2020 ). Neural stem cell phenotype of tanycyte-like ependymal cells in the circumventricular organs and central canal of adult mouse brain. Sci. Rep. 10:2826.

    Not in our library10.1038/s41598-020-59629-5

  61. 61.

    Gemberling M. Bailey T. J. Hyde D. R. Poss K. D. (2013 ). The zebrafish as a model for complex tissue regeneration. Trends Genet. 29 611–620.

    Not in our library10.1016/j.tig.2013.07.003

  62. 62.

    Gestri G. Link B. A. Neuhauss S. C. F. (2012 ). The visual system of zebrafish and its use to model human ocular Diseases. Dev. Neurobiol. 72 302–327.

    Not in our library10.1002/dneu.20919

  63. 63.

    Giaume C. Naus C. C. Sáez J. C. Leybaert L. (2020 ). Glial connexins and pannexins in the healthy and diseased brain. Physiol. Rev. 101 93–145.

    Not in our library10.1152/physrev.00043.2018

  64. 64.

    Gleichman A. J. Carmichael S. T. (2020 ). Glia in neurodegeneration: drivers of disease or along for the ride? Neurobiol. Dis. 142:104957.

    Not in our library10.1016/j.nbd.2020.104957

  65. 65.

    Gleiser C. Wagner A. Fallier-Becker P. Wolburg H. Hirt B. Mack A. F. (2016 ). Aquaporin-4 in astroglial cells in the CNS and supporting cells of sensory organs—a comparative perspective. Int. J. Mol. Sci. 17:1411.

    Not in our library10.3390/ijms17091411

  66. 66.

    Goldman D. (2014 ). Müller glial cell reprogramming and retina regeneration. Nat. Rev. Neurosci. 15 431–442.

    Not in our library10.1038/nrn3723

  67. 67.

    Gordon G. R. J. Mulligan S. J. MacVicar B. A. (2007 ). Astrocyte control of the cerebrovasculature. Glia 55 1214–1221.

    Not in our library10.1002/glia.20543

  68. 68.

    Grupp L. Wolburg H. Mack A. F. (2010 ). Astroglial structures in the zebrafish brain. J. Comp. Neurol. 518 4277–4287.

    Not in our library10.1002/cne.22481

  69. 69.

    Guillemin G. J. Brew B. J. (2004 ). Microglia, macrophages, perivascular macrophages, and pericytes: a review of function and identification. J. Leukoc. Biol. 75 388–397.

    Not in our library10.1189/jlb.0303114

  70. 70.

    Hasel P. Rose I. V. L. Sadick J. S. Kim R. D. Liddelow S. A. (2021 ). Neuroinflammatory astrocyte subtypes in the mouse brain. Nat. Neurosci. 1–13.

    Not in our library10.1038/s41593-021-00905-6

  71. 71.

    Haseloff R. F. Blasig I. E. Bauer H.-C. Bauer H. (2005 ). In search of the astrocytic factor(s) modulating blood–brain barrier functions in brain capillary endothelial cells in vitro. Cell. Mol. Neurobiol. 25 25–39.

    Not in our library10.1007/s10571-004-1375-x

  72. 72.

    Hauck S. M. Suppmann S. Ueffing M. (2003 ). Proteomic profiling of primary retinal Müller glia cells reveals a shift in expression patterns upon adaptation to in vitro conditions. Glia 44 251–263.

    Not in our library10.1002/glia.10292

  73. 73.

    Hawkins B. T. Davis T. P. (2005 ). The blood-brain barrier/neurovascular unit in health and disease. Pharmacol. Rev. 57 173–185.

    Not in our library10.1124/pr.57.2.4

  74. 74.

    Hayashi Y. Nomura M. Yamagishi S.-I. Harada S.-I. Yamashita J. Yamamoto H. (1997 ). Induction of various blood-brain barrier properties in non-neural endothelial cells by close apposition to co-cultured astrocytes. Glia 19 13–26.

    Not in our library10.1002/(sici)1098-1136(199701)19:1<13::aid-glia2<3.0.co;2-b

  75. 75.

    Haycock J. W. (2011 ). 3D cell culture: a review of current approaches and techniques. Methods Mol. Biol. 695 1–15.

    Not in our library10.1007/978-1-60761-984-0_1

  76. 76.

    Heithoff B. P. George K. K. Phares A. N. Zuidhoek I. A. Munoz-Ballester C. Robel S. (2021 ). Astrocytes are necessary for blood–brain barrier maintenance in the adult mouse brain. Glia 69 436–472.

    Not in our library10.1002/glia.23908

  77. 77.

    Helms H. C. Abbott N. J. Burek M. Cecchelli R. Couraud P.-O. Deli M. A. (2016 ). In vitro models of the blood–brain barrier: an overview of commonly used brain endothelial cell culture models and guidelines for their use. J. Cereb. Blood Flow Metab. 36 862–890.

    Not in our library10.1177/0271678x16630991

  78. 78.

    Henshall T. L. Keller A. He L. Johansson B. R. Wallgard E. Raschperger E. (2015 ). Notch3 is necessary for blood vessel integrity in the central nervous system. Arterioscler. Thromb. Vasc. Biol. 35 409–420.

    Not in our library10.1161/atvbaha.114.304849

  79. 79.

    Hillen A. E. J. Burbach J. P. H. Hol E. M. (2018 ). Cell adhesion and matricellular support by astrocytes of the tripartite synapse. Prog. Neurobiol. 165–167 165–167; 66–86.

    Not in our library10.1016/j.pneurobio.2018.02.002

  80. 80.

    Hoddevik E. H. Rao S. B. Zahl S. Boldt H. B. Ottersen O. P. Amiry-Moghaddam M. (2020 ). Organisation of extracellular matrix proteins laminin and agrin in pericapillary basal laminae in mouse brain. Brain Struct. Funct. 225 805–816.

    Not in our library10.1007/s00429-020-02036-3

  81. 81.

    Hoiland R. L. Caldwell H. G. Howe C. A. Nowak-Flück D. Stacey B. S. Bailey D. M. (2020 ). Nitric oxide is fundamental to neurovascular coupling in humans. J. Physiol. 598 4927–4939.

    Not in our library10.1113/jp280162

  82. 82.

    Hurley J. B. Lindsay K. J. Du J. (2015 ). Glucose, lactate, and shuttling of metabolites in vertebrate retinas. J. Neurosci. Res. 93 1079–1092.

    Not in our library10.1002/jnr.23583

  83. 83.

    Igarashi Y. Utsumi H. Chiba H. Yamada-Sasamori Y. Tobioka H. Kamimura Y. (1999 ). Glial cell line-derived neurotrophic factor induces barrier function of endothelial cells forming the blood–brain barrier. Biochem. Biophys. Res. Commun. 261 108–112.

    Not in our library10.1006/bbrc.1999.0992

  84. 84.

    Ioannou M. S. Jackson J. Sheu S.-H. Chang C.-L. Weigel A. V. Liu H. (2019 ). Neuron-astrocyte metabolic coupling protects against activity-induced fatty acid toxicity. Cell 177 1522–1535.e14.

    Not in our library10.1016/j.cell.2019.04.001

  85. 85.
  86. 86.

    Janzer R. C. Raff M. C. (1987 ). Astrocytes induce blood-brain barrier properties in endothelial cells. Nature 325 253–257.

    Not in our library10.1038/325253a0

  87. 87.

    Jha M. K. Kim J.-H. Song G. J. Lee W.-H. Lee I.-K. Lee H.-W. (2018 ). Functional dissection of astrocyte-secreted proteins: implications in brain health and diseases. Prog. Neurobiol. 162 37–69.

    Not in our library10.1016/j.pneurobio.2017.12.003

  88. 88.

    Jo A. O. Ryskamp D. A. Phuong T. T. T. Verkman A. S. Yarishkin O. MacAulay N. (2015 ). TRPV4 and AQP4 channels synergistically regulate cell volume and calcium homeostasis in retinal Müller glia. J. Neurosci. 35 13525–13537.

    Not in our library10.1523/jneurosci.1987-15.2015

  89. 89.

    John Lin C.-C. Yu K. Hatcher A. Huang T.-W. Lee H. K. Carlson J. (2017 ). Identification of diverse astrocyte populations and their malignant analogs. Nat. Neurosci. 20 396–405.

    Not in our library10.1038/nn.4493

  90. 90.
  91. 91.

    Karve I. P. Taylor J. M. Crack P. J. (2016 ). The contribution of astrocytes and microglia to traumatic brain injury. Br. J. Pharmacol. 173 692–702.

    Not in our library10.1111/bph.13125

  92. 92.

    Kawamura H. Kobayashi M. Li Q. Yamanishi S. Katsumura K. Minami M. (2004 ). Effects of angiotensin II on the pericyte-containing microvasculature of the rat retina. J. Physiol. 561 671–683.

    Not in our library10.1113/jphysiol.2004.073098

  93. 93.

    Keaney J. Campbell M. (2015 ). The dynamic blood-brain barrier. FEBS J. 282 4067–4079.

    Not in our library10.1111/febs.13412

  94. 94.
  95. 95.

    Kimelberg H. K. (2010 ). Functions of mature mammalian astrocytes: a current view. Neuroscientist 16 79–106.

    Not in our library10.1177/1073858409342593

  96. 96.

    Koistinaho M. Lin S. Wu X. Esterman M. Koger D. Hanson J. (2004 ). Apolipoprotein E promotes astrocyte colocalization and degradation of deposited amyloid-β peptides. Nat. Med. 10 719–726.

    Not in our library10.1038/nm1058

  97. 97.

    Kroehne V. Freudenreich D. Hans S. Kaslin J. Brand M. (2011 ). Regeneration of the adult zebrafish brain from neurogenic radial glia-type progenitors. Development 138 4831–4841.

    Not in our library10.1242/dev.072587

  98. 98.

    Kutuzov N. Flyvbjerg H. Lauritzen M. (2018 ). Contributions of the glycocalyx, endothelium, and extravascular compartment to the blood–brain barrier. Proc. Natl. Acad. Sci. U.S.A. 115 E9429–E9438.

    Not in our library10.1073/pnas.1802155115

  99. 99.

    Lacoste B. Comin C. H. Ben-Zvi A. Kaeser P. S. Xu X. Costa L. (2014 ). Sensory-related neural activity regulates the structure of vascular networks in the cerebral cortex. Neuron 83 1117–1130.

    Not in our library10.1016/j.neuron.2014.07.034

  100. 100.

    Lafrenaye A. D. Simard J. M. (2019 ). Bursting at the seams: molecular mechanisms mediating astrocyte swelling. Int. J. Mol. Sci. 20:330.

    Not in our library10.3390/ijms20020330

  101. 101.

    Lasta M. Pemp B. Schmidl D. Boltz A. Kaya S. Palkovits S. (2013 ). Neurovascular dysfunction precedes neural dysfunction in the retina of patients with type 1 diabetes. Invest. Ophthalmol. Vis. Sci. 54 842–847.

    Not in our library10.1167/iovs.12-10873

  102. 102.

    Lavoie J. L. Sigmund C. D. (2003 ). Minireview: overview of the renin-angiotensin system—an endocrine and paracrine system. Endocrinology 144 2179–2183.

    Not in our library10.1210/en.2003-0150

  103. 103.

    Le Y.-Z. (2017 ). VEGF production and signaling in Müller glia are critical to modulating vascular function and neuronal integrity in diabetic retinopathy and hypoxic retinal vascular diseases. Vis. Res. 139 108–114.

    Not in our library10.1016/j.visres.2017.05.005

  104. 104.

    Lécuyer M.-A. Kebir H. Prat A. (2016 ). Glial influences on BBB functions and molecular players in immune cell trafficking. Biochim. Biophys. Acta Mol. Basis Dis. 1862 472–482.

    Not in our library10.1016/j.bbadis.2015.10.004

  105. 105.

    Lee S.-W. Kim W. J. Choi Y. K. Song H. S. Son M. J. Gelman I. H. (2003 ). SSeCKS regulates angiogenesis and tight junction formation in blood-brain barrier. Nat. Med. 9 900–906.

    Not in our library10.1038/nm889

  106. 106.

    Levet F. Carpenter A. E. Eliceiri K. W. Kreshuk A. Bankhead P. Haase R. (2021 ). Developing open-source software for bioimage analysis: opportunities and challenges. F1000Res 10:302.

    Not in our library10.12688/f1000research.52531.1

  107. 107.

    Lieschke G. J. Currie P. D. (2007 ). Animal models of human disease: zebrafish swim into view. Nat. Rev. Genet. 8 353–367.

    Not in our library10.1038/nrg2091

  108. 108.

    Limón I. D. Angulo-Cruz I. Sánchez-Abdon L. Patricio-Martínez A. (2021 ). Disturbance of the glutamate-glutamine cycle, secondary to hepatic damage, compromises memory function. Front. Neurosci. 15:578922.

    Not in our library10.3389/fnins.2021.578922

  109. 109.

    Lok J. Gupta P. Guo S. Kim W. J. Whalen M. J. van Leyen K. (2007 ). Cell–cell signaling in the neurovascular unit. Neurochem. Res. 32 2032–2045.

    Not in our library10.1007/s11064-007-9342-9

  110. 110.

    Losada-Perez M. (2018 ). Glia: from ‘just glue’ to essential players in complex nervous systems: a comparative view from flies to mammals. J. Neurogenet. 32 78–91.

    Not in our library10.1080/01677063.2018.1464568

  111. 111.

    Luengo-Oroz M. Ledesma-Carbayo M. Peyriéras N. Santos A. (2011 ). Image analysis for understanding embryo development: a bridge from microscopy to biological insights. Curr. Opin. Genet. Dev. 21 630–637.

    Not in our library10.1016/j.gde.2011.08.001

  112. 112.
  113. 113.

    MacDonald R. B. Charlton-Perkins M. Harris W. A. (2017 ). Mechanisms of Müller glial cell morphogenesis. Curr. Opin. Neurobiol. 47 31–37.

    Not in our library10.1016/j.conb.2017.08.005

  114. 114.

    MacDonald R. B. Randlett O. Oswald J. Yoshimatsu T. Franze K. Harris W. A. (2015 ). Müller glia provide essential tensile strength to the developing retina. J. Cell Biol. 210 1075–1083.

    Not in our library10.1083/jcb.201503115

  115. 115.

    Macht V. A. (2016 ). Neuro-immune interactions across development: a look at glutamate in the prefrontal cortex. Neurosci. Biobehav. Rev. 71 267–280.

    Not in our library10.1016/j.neubiorev.2016.08.039

  116. 116.

    Madaan A. Chaudhari P. Nadeau-Vallée M. Hamel D. Zhu T. Mitchell G. (2019 ). Müller cell–localized G-protein–coupled receptor 81 (Hydroxycarboxylic Acid Receptor 1) regulates inner retinal vasculature via Norrin/Wnt pathways. Am. J. Pathol. 189 1878–1896.

    Not in our library10.1016/j.ajpath.2019.05.016

  117. 117.

    Magaki S. D. Williams C. K. Vinters H. V. (2018 ). Glial function (and dysfunction) in the normal & ischemic brain. Neuropharmacology 134 218–225.

    Not in our library10.1016/j.neuropharm.2017.11.009

  118. 118.

    Malik V. A. Di Benedetto B. (2018 ). The blood-brain barrier and the EphR/Ephrin system: perspectives on a link between neurovascular and neuropsychiatric disorders. Front. Mol. Neurosci. 11:127.

    Not in our library10.3389/fnmol.2018.00127

  119. 119.

    Maoz B. M. Herland A. FitzGerald E. A. Grevesse T. Vidoudez C. Pacheco A. R. (2018 ). A linked organ-on-chip model of the human neurovascular unit reveals the metabolic coupling of endothelial and neuronal cells. Nat. Biotechnol. 36 865–874.

    Not in our library10.1038/nbt.4226

  120. 120.

    Marina N. Turovsky E. Christie I. N. Hosford P. S. Hadjihambi A. Korsak A. (2018 ). Brain metabolic sensing and metabolic signaling at the level of an astrocyte. Glia 66 1185–1199.

    Not in our library10.1002/glia.23283

  121. 121.

    Masin L. Claes M. Bergmans S. Cools L. Andries L. Davis B. M. (2021 ). A novel retinal ganglion cell quantification tool based on deep learning. Sci. Rep. 11:702.

    Not in our library10.1038/s41598-020-80308-y

  122. 122.
  123. 123.

    McAllister M. S. Krizanac-Bengez L. Macchia F. Naftalin R. J. Pedley K. C. Mayberg M. R. (2001 ). Mechanisms of glucose transport at the blood–brain barrier: an in vitro study. Brain Res. 904 20–30.

    Not in our library10.1016/s0006-8993(01)02418-0

  124. 124.

    McCarthy K. D. de Vellis J. (1980 ). Preparation of separate astroglial and oligodendroglial cell cultures from rat cerebral tissue. J. Cell Biol. 85 890–902.

    Not in our library10.1083/jcb.85.3.890

  125. 125.

    McConnell H. L. Kersch C. N. Woltjer R. L. Neuwelt E. A. (2017 ). The translational significance of the neurovascular unit ∗. J. Biol. Chem. 292 762–770.

    Not in our library10.1074/jbc.r116.760215

  126. 126.

    Mehta R. I. Tosun C. Ivanova S. Tsymbalyuk N. Famakin B. M. Kwon M. S. (2015 ). Sur1-Trpm4 cation channel expression in human cerebral infarcts. J. Neuropathol. Exp. Neurol. 74 835–849.

    Not in our library10.1097/nen.0000000000000223

  127. 127.

    Metea M. R. Newman E. A. (2007 ). Signalling within the neurovascular unit in the mammalian retina. Exp. Physiol. 92 635–640.

    Not in our library10.1113/expphysiol.2006.036376

  128. 128.

    Mizee M. R. Wooldrik D. Lakeman K. A. M. van het Hof B. Drexhage J. A. R. Geerts D. (2013 ). Retinoic acid induces blood–brain barrier development. J. Neurosci. 33 1660–1671.

    Not in our library10.1523/jneurosci.1338-12.2013

  129. 129.

    Molofsky A. V. Kelley K. W. Tsai H.-H. Redmond S. A. Chang S. M. Madireddy L. (2014 ). Astrocyte-encoded positional cues maintain sensorimotor circuit integrity. Nature 509 189–194.

    Not in our library10.1038/nature13161

  130. 130.
  131. 131.

    Mu Y. Bennett D. V. Rubinov M. Narayan S. Yang C.-T. Tanimoto M. (2019 ). Glia accumulate evidence that actions are futile and suppress unsuccessful behavior. Cell 178 27–43.e19.

    Not in our library10.1016/j.cell.2019.05.050

  132. 132.

    Muñoz M. F. Puebla M. Figueroa X. F. (2015 ). Control of the neurovascular coupling by nitric oxide-dependent regulation of astrocytic Ca(2+) signaling. Front. Cell. Neurosci. 9:59.

    Not in our library10.3389/fncel.2015.00059

  133. 133.

    Muñoz-Ballester C. Umans R. A. Robel S. (2021 ). Leveraging zebrafish to study bona fide astrocytes. Trends Neurosci. 44 77–79.

    Not in our library10.1016/j.tins.2020.10.013

  134. 134.

    Nagashima M. Hadidjojo J. Barthel L. K. Lubensky D. K. Raymond P. A. (2017 ). Anisotropic Müller glial scaffolding supports a multiplex lattice mosaic of photoreceptors in zebrafish retina. Neural Dev. 12:20.

    Not in our library10.1186/s13064-017-0096-z

  135. 135.

    Nagele R. G. Wegiel J. Venkataraman V. Imaki H. Wang K.-C. Wegiel J. (2004 ). Contribution of glial cells to the development of amyloid plaques in Alzheimer’s disease. Neurobiol. Aging 25 663–674.

    Not in our library10.1016/j.neurobiolaging.2004.01.007

  136. 136.

    Newman E. Reichenbach A. (1996 ). The Müller cell: a functional element of the retina. Trends Neurosci. 19, 307–312.

    Not in our library10.1016/0166-2236(96)10040-0

  137. 137.

    Nimmerjahn A. Kirchhoff F. Helmchen F. (2005 ). Resting microglial cells are highly dynamic surveillants of brain parenchyma in vivo. Science 308 1314–1318.

    Not in our library10.1126/science.1110647

  138. 138.

    Nitta T. Hata M. Gotoh S. Seo Y. Sasaki H. Hashimoto N. (2003 ). Size-selective loosening of the blood-brain barrier in claudin-5–deficient mice. J. Cell Biol. 161 653–660.

    Not in our library10.1083/jcb.200302070

  139. 139.

    Nortley R. Attwell D. (2017 ). Control of brain energy supply by astrocytes. Curr. Opin. Neurobiol. 47 80–85.

    Not in our library10.1016/j.conb.2017.09.012

  140. 140.

    Nzou G. Wicks R. T. VanOstrand N. R. Mekky G. A. Seale S. A. El-Taibany A. (2020 ). Multicellular 3D neurovascular unit model for assessing hypoxia and neuroinflammation induced blood-brain barrier dysfunction. Sci. Rep. 10:9766.

    Not in our library10.1038/s41598-020-66487-8

  141. 141.
  142. 142.

    O’Brown N. M. Pfau S. J. Gu C. (2018 ). Bridging barriers: a comparative look at the blood–brain barrier across organisms. Genes Dev. 32 466–478.

    Not in our library10.1101/gad.309823.117

  143. 143.

    O’Sullivan M. L. Puñal V. M. Kerstein P. C. Brzezinski J. A. Glaser T. Wright K. M. (2017 ). Astrocytes follow ganglion cell axons to establish an angiogenic template during retinal development. Glia 65 1697–1716.

    Not in our library10.1002/glia.23189

  144. 144.

    Oberheim N. A. Takano T. Han X. He W. Lin J. H. C. Wang F. (2009 ). Uniquely hominid features of adult human astrocytes. J. Neurosci. 29 3276–3287.

    Not in our library10.1523/jneurosci.4707-08.2009

  145. 145.

    Otteson D. C. Phillips M. J. (2010 ). A conditional immortalized mouse muller glial cell line expressing glial and retinal stem cell genes. Invest. Ophthalmol. Vis. Sci. 51 5991–6000.

    Not in our library10.1167/iovs.10-5395

  146. 146.

    Outtz H. H. Tattersall I. W. Kofler N. M. Steinbach N. Kitajewski J. (2011 ). Notch1 controls macrophage recruitment and Notch signaling is activated at sites of endothelial cell anastomosis during retinal angiogenesis in mice. Blood 118 3436–3439.

    Not in our library10.1182/blood-2010-12-327015

  147. 147.

    Öz G. Seaquist E. R. Kumar A. Criego A. B. Benedict L. E. Rao J. P. (2007 ). Human brain glycogen content and metabolism: implications on its role in brain energy metabolism. Am. J. Physiol. Endocrinol. Metab. 292 E946–E951.

    Not in our library10.1152/ajpendo.00424.2006

  148. 148.

    Paisley C. E. Kay J. N. (2021 ). Seeing stars: development and function of retinal astrocytes. Dev. Biol. 478 144–154.

    Not in our library10.1016/j.ydbio.2021.07.007

  149. 149.

    Pannasch U. Rouach N. (2013 ). Emerging role for astroglial networks in information processing: from synapse to behavior. Trends Neurosci. 36 405–417.

    Not in our library10.1016/j.tins.2013.04.004

  150. 150.

    Pardridge W. (2001 ). Brain Drug Targeting: The Future of Brain Drug Development. Cambridge: Cambridge University Press.

    Not in our library

  151. 151.
  152. 152.

    Pierce E. A. Avery R. L. Foley E. D. Aiello L. P. Smith L. E. (1995 ). Vascular endothelial growth factor/vascular permeability factor expression in a mouse model of retinal neovascularization. Proc. Natl. Acad. Sci. U.S.A. 92 905–909.

    Not in our library10.1073/pnas.92.3.905

  153. 153.

    Pihlstrøm L. Wiethoff S. Houlden H. (2018 ). “Chapter 22 – Genetics of neurodegenerative diseases: an overview,” in Handbook of Clinical Neurology Neuropathology, eds Kovacs G. G. Alafuzoff I. (Amsterdam: Elsevier), 309–323.

    Not in our library10.1016/b978-0-12-802395-2.00022-5

  154. 154.
  155. 155.

    Powner M. B. Gillies M. C. Tretiach M. Scott A. Guymer R. H. Hageman G. S. (2010a ). Perifoveal Müller cell depletion in a case of macular telangiectasia type 2. Ophthalmology 117 2407–2416.

    Not in our library10.1016/j.ophtha.2010.04.001

  156. 156.

    Powner M. B. Gillies M. C. Zhu M. Vevis K. Hunyor A. P. Fruttiger M. (2010b ). Loss of Müller’s cells and photoreceptors in macular telangiectasia type 2. Ophthalmology 120 2344–2352.

    Not in our library10.1016/j.ophtha.2013.04.013

  157. 157.

    Price B. R. Norris C. M. Sompol P. Wilcock D. M. (2018 ). An emerging role of astrocytes in vascular contributions to cognitive impairment and dementia. J. Neurochem. 144 644–650.

    Not in our library10.1111/jnc.14273

  158. 158.

    Puñal V. M. Paisley C. E. Brecha F. S. Lee M. A. Perelli R. M. Wang J. (2019 ). Large-scale death of retinal astrocytes during normal development is non-apoptotic and implemented by microglia. PLoS Biol. 17:e3000492.

    Not in our library10.1371/journal.pbio.3000492

  159. 159.

    Rakic P. (2003 ). Elusive radial glial cells: historical and evolutionary perspective. Glia 43 19–32.

    Not in our library10.1002/glia.10244

  160. 160.

    Randlett O. Wee C. L. Naumann E. A. Nnaemeka O. Schoppik D. Fitzgerald J. E. (2015 ). Whole-brain activity mapping onto a zebrafish brain atlas. Nat. Methods 12 1039–1046.

    Not in our library10.1038/nmeth.3581

  161. 161.

    Reichenbach A. Bringmann A. (2020 ). Glia of the human retina. Glia 68 768–796.

    Not in our library10.1002/glia.23727

  162. 162.

    Richardson R. Tracey-White D. Webster A. Moosajee M. (2017 ). The zebrafish eye—a paradigm for investigating human ocular genetics. Eye 31 68–86.

    Not in our library10.1038/eye.2016.198

  163. 163.
  164. 164.

    Ronneberger O. Liu K. Rath M. Ruess D. Mueller T. Skibbe H. (2012 ). ViBE-Z: a framework for 3D virtual colocalization analysis in zebrafish larval brains. Nat. Methods 9 735–742.

    Not in our library10.1038/nmeth.2076

  165. 165.

    Rosa J. M. Bos R. Sack G. S. Fortuny C. Agarwal A. Bergles D. E. (2015 ). Neuron-glia signaling in developing retina mediated by neurotransmitter spillover. elife 4:e09590.

    Not in our library10.7554/elife.09590

  166. 166.
  167. 167.

    Santello M. Calì C. Bezzi P. (2012 ). “Gliotransmission and the tripartite synapse,” in Synaptic Plasticity: Dynamics, Development and Disease Advances in Experimental Medicine and Biology, eds Kreutz M. R. Sala C. (Vienna: Springer), 307–331.

    Not in our library10.1007/978-3-7091-0932-8_14

  168. 168.

    Schousboe A. Waagepetersen H. S. Sonnewald U. (2019 ). Astrocytic pyruvate carboxylation: status after 35 years. J. Neurosci. Res. 97 890–896.

    Not in our library10.1002/jnr.24402

  169. 169.

    Senarathna J. Yu H. Deng C. Zou A. L. Issa J. B. Hadjiabadi D. H. (2019 ). A miniature multi-contrast microscope for functional imaging in freely behaving animals. Nat. Commun. 10:99.

    Not in our library10.1038/s41467-018-07926-z

  170. 170.

    Serrats J. Schiltz J. C. García-Bueno B. van Rooijen N. Reyes T. M. Sawchenko P. E. (2010 ). Dual roles for perivascular macrophages in immune-to-brain signaling. Neuron 65 94–106.

    Not in our library10.1016/j.neuron.2009.11.032

  171. 171.

    Sharif Y. Jumah F. Coplan L. Krosser A. Sharif K. Tubbs R. S. (2018 ). Blood brain barrier: a review of its anatomy and physiology in health and disease. Clin. Anat. 31 812–823.

    Not in our library10.1002/ca.23083

  172. 172.

    Sharma S. Puttachary S. Thippeswamy T. (2019 ). Glial source of nitric oxide in epileptogenesis: a target for disease modification in epilepsy. J. Neurosci. Res. 97 1363–1377.

    Not in our library10.1002/jnr.24205

  173. 173.

    Shekhar K. Lapan S. W. Whitney I. E. Tran N. M. Macosko E. Z. Kowalczyk M. (2016 ). Comprehensive classification of retinal bipolar neurons by single-cell transcriptomics. Cell 166 1308–1323.e30.

    Not in our library10.1016/j.cell.2016.07.054

  174. 174.

    Sibille J. Pannasch U. Rouach N. (2014 ). Astroglial potassium clearance contributes to short-term plasticity of synaptically evoked currents at the tripartite synapse. J. Physiol. 592 87–102.

    Not in our library10.1113/jphysiol.2013.261735

  175. 175.

    Simard M. Nedergaard M. (2004 ). The neurobiology of glia in the context of water and ion homeostasis. Neuroscience 129 877–896.

    Not in our library10.1016/j.neuroscience.2004.09.053

  176. 176.

    Singh C. Tran V. McCollum L. Bolok Y. Allan K. Yuan A. (2020 ). Hyperoxia induces glutamine-fuelled anaplerosis in retinal Müller cells. Nat. Commun. 11:1277.

    Not in our library10.1038/s41467-020-15066-6

  177. 177.

    Siqueira M. Francis D. Gisbert D. Gomes F. C. A. Stipursky J. (2018 ). Radial glia cells control angiogenesis in the developing cerebral cortex through TGF-β1 signaling. Mol. Neurobiol. 55 3660–3675.

    Not in our library10.1007/s12035-017-0557-8

  178. 178.

    Sofroniew M. V. Vinters H. V. (2010 ). Astrocytes: biology and pathology. Acta Neuropathol. 119 7–35.

    Not in our library10.1007/s00401-009-0619-8

  179. 179.

    Someya E. Akagawa M. Mori A. Morita A. Yui N. Asano D. (2019 ). Role of neuron–glia signaling in regulation of retinal vascular tone in rats. Int. J. Mol. Sci. 20:1952.

    Not in our library10.3390/ijms20081952

  180. 180.
  181. 181.

    Souza D. G. Almeida R. F. Souza D. O. Zimmer E. R. (2019 ). The astrocyte biochemistry. Semin. Cell Dev. Biol. 95 142–150.

    Not in our library10.1016/j.semcdb.2019.04.002

  182. 182.

    Sperlágh B. Vizi E. S. (2011 ). The role of extracellular adenosine in chemical neurotransmission in the hippocampus and basal ganglia: pharmacological and clinical aspects. Curr. Top. Med. Chem. 11 1034–1046.

    Not in our library10.2174/156802611795347564

  183. 183.

    Subirada P. V. Paz M. C. Ridano M. E. Lorenc V. E. Vaglienti M. V. Barcelona P. F. (2018 ). A journey into the retina: Müller glia commanding survival and death. Eur. J. Neurosci. 47 1429–1443.

    Not in our library10.1111/ejn.13965

  184. 184.

    Sugita Y. Miura K. Furukawa T. (2020 ). Retinal ON and OFF pathways contribute to initial optokinetic responses with different temporal characteristics. Eur. J. Neurosci. 52 3160–3165.

    Not in our library10.1111/ejn.14697

  185. 185.

    Sweeney M. D. Sagare A. P. Zlokovic B. V. (2018 ). Blood–brain barrier breakdown in Alzheimer disease and other neurodegenerative disorders. Nat. Rev. Neurol. 14 133–150.

    Not in our library10.1038/nrneurol.2017.188

  186. 186.

    Tárnok A. (2006 ). Slide-based cytometry for cytomics—a minireview. Cytometry A 69A 555–562.

    Not in our library10.1002/cyto.a.20317

  187. 187.

    Taylor A. W. Ng T. F. (2018 ). Negative regulators that mediate ocular immune privilege. J. Leukoc. Biol. 103 1179–1187.

    Not in our library10.1002/jlb.3mir0817-337r

  188. 188.
  189. 189.

    Than-Trong E. Bally-Cuif L. (2015 ). Radial glia and neural progenitors in the adult zebrafish central nervous system. Glia 63 1406–1428.

    Not in our library10.1002/glia.22856

  190. 190.

    Thummel R. Kassen S. C. Enright J. M. Nelson C. M. Montgomery J. E. Hyde D. R. (2008 ). Characterization of Müller glia and neuronal progenitors during adult zebrafish retinal regeneration. Exp. Eye Res. 87 433–444.

    Not in our library10.1016/j.exer.2008.07.009

  191. 191.

    Tong L. Hill R. A. Damisah E. C. Murray K. N. Yuan P. Bordey A. (2021 ). Imaging and optogenetic modulation of vascular mural cells in the live brain. Nat. Protoc. 16 472–496.

    Not in our library10.1038/s41596-020-00425-w

  192. 192.

    Tout S. Chan-Ling T. Holländer H. Stone J. (1993 ). The role of müller cells in the formation of the blood-retinal barrier. Neuroscience 55 291–301.

    Not in our library10.1016/0306-4522(93)90473-s

  193. 193.

    Tsai H.-H. Li H. Fuentealba L. C. Molofsky A. V. Taveira-Marques R. Zhuang H. (2012 ). Regional astrocyte allocation regulates CNS synaptogenesis and repair. Science 337 358–362.

    Not in our library10.1126/science.1222381

  194. 194.

    Turko P. Groberman K. Browa F. Cobb S. Vida I. (2019 ). Differential dependence of GABAergic and glutamatergic neurons on glia for the establishment of synaptic transmission. Cereb. Cortex 29 1230–1243.

    Not in our library10.1093/cercor/bhy029

  195. 195.

    Turner D. A. Adamson D. C. (2011 ). Neuronal-astrocyte metabolic interactions: understanding the transition into abnormal astrocytoma metabolism. J. Neuropathol. Exp. Neurol. 70 167–176.

    Not in our library10.1097/nen.0b013e31820e1152

  196. 196.

    Vanlandewijck M. He L. Mäe M. A. Andrae J. Ando K. Del Gaudio F. (2018 ). A molecular atlas of cell types and zonation in the brain vasculature. Nature 554 475–480.

    Not in our library10.1038/nature25739

  197. 197.

    Vecino E. Rodriguez F. D. Ruzafa N. Pereiro X. Sharma S. C. (2016 ). Glia–neuron interactions in the mammalian retina. Prog. Retin. Eye Res. 51 1–40.

    Not in our library10.1016/j.preteyeres.2015.06.003

  198. 198.

    Vergara R. C. Jaramillo-Riveri S. Luarte A. Moënne-Loccoz C. Fuentes R. Couve A. (2019 ). The energy homeostasis principle: neuronal energy regulation drives local network dynamics generating behavior. Front. Comput. Neurosci. 13:49.

    Not in our library10.3389/fncom.2019.00049

  199. 199.

    Verheijen J. Sleegers K. (2018 ). Understanding Alzheimer disease at the interface between genetics and transcriptomics. Trends Genet. 34 434–447.

    Not in our library10.1016/j.tig.2018.02.007

  200. 200.
  201. 201.

    Virchow R. (1856 ). Gesammelte Abhandlungen zur Wissenschaftlischen Medizin. Frankfurt: Staatsdruckerei.

    Not in our library

  202. 202.

    Virgintino D. Errede M. Robertson D. Girolamo F. Masciandaro A. Bertossi M. (2003 ). VEGF expression is developmentally regulated during human brain angiogenesis. Histochem. Cell Biol. 119 227–232.

    Not in our library10.1007/s00418-003-0510-y

  203. 203.

    Wang J. O’Sullivan M. L. Mukherjee D. Puñal V. M. Farsiu S. Kay J. N. (2017 ). Anatomy and spatial organization of Müller glia in mouse retina. J. Comp. Neurol. 525 1759–1777.

    Not in our library10.1002/cne.24153

  204. 204.

    Watson P. M. D. Kavanagh E. Allenby G. Vassey M. (2017 ). Bioengineered 3D glial cell culture systems and applications for neurodegeneration and neuroinflammation. SLAS Discov. 22 583–601.

    Not in our library10.1177/2472555217691450

  205. 205.

    Welser J. V. Li L. Milner R. (2010 ). Microglial activation state exerts a biphasic influence on brain endothelial cell proliferation by regulating the balance of TNF and TGF-β1. J. Neuroinflammation 7:89.

    Not in our library10.1186/1742-2094-7-89

  206. 206.

    Whiteus C. Freitas C. Grutzendler J. (2014 ). Perturbed neural activity disrupts cerebral angiogenesis during a postnatal critical period. Nature 505 407–411.

    Not in our library10.1038/nature12821

  207. 207.

    Willis C. L. (2011 ). Glia-induced reversible disruption of blood–brain barrier integrity and neuropathological response of the neurovascular unit. Toxicol. Pathol. 39 172–185.

    Not in our library10.1177/0192623310385830

  208. 208.

    Wosik K. Cayrol R. Dodelet-Devillers A. Berthelet F. Bernard M. Moumdjian R. (2007 ). Angiotensin II controls occludin function and is required for blood–brain barrier maintenance: relevance to multiple sclerosis. J. Neurosci. 27 9032–9042.

    Not in our library10.1523/jneurosci.2088-07.2007

  209. 209.

    Yamasaki M. Yamada K. Furuya S. Mitoma J. Hirabayashi Y. Watanabe M. (2001 ). 3-phosphoglycerate dehydrogenase, a key enzyme forl-serine biosynthesis, is preferentially expressed in the radial glia/astrocyte lineage and olfactory ensheathing glia in the mouse brain. J. Neurosci. 21 7691–7704.

    Not in our library10.1523/jneurosci.21-19-07691.2001

  210. 210.

    Yoon J.-H. Jeong Y. (2019 ). In vivo imaging for neurovascular disease research. Arch. Pharm. Res. 42 263–273.

    Not in our library10.1007/s12272-019-01128-x

  211. 211.

    Yuan Y. Failmezger H. Rueda O. M. Ali H. R. Gräf S. Chin S.-F. (2012 ). Quantitative image analysis of cellular heterogeneity in breast tumors complements genomic profiling. Sci. Transl. Med. 4:157ra143.

    Not in our library10.1126/scitranslmed.3004330

  212. 212.

    Zhang R. Du W. Prober D. A. Du J. (2019 ). Müller glial cells participate in retinal waves via glutamate transporters and AMPA receptors. Cell Rep. 27 2871–2880.e2.

    Not in our library10.1016/j.celrep.2019.05.011

  213. 213.

    Zhang T. Gillies M. C. Madigan M. C. Shen W. Du J. Grünert U. (2018 ). Disruption of de novo serine synthesis in Müller cells induced mitochondrial dysfunction and aggravated oxidative damage. Mol. Neurobiol. 55 7025–7037.

    Not in our library10.1007/s12035-017-0840-8

  214. 214.

    Zhang T. Zhu L. Madigan M. C. Liu W. Shen W. Cherepanoff S. (2019 ). Human macular Müller cells rely more on serine biosynthesis to combat oxidative stress than those from the periphery. eLife 8:e43598.

    Not in our library10.7554/elife.43598

  215. 215.

    Zhang Y. Chen K. Sloan S. A. Bennett M. L. Scholze A. R. O’Keeffe S. (2014 ). An RNA-sequencing transcriptome and splicing database of glia, neurons, and vascular cells of the cerebral cortex. J. Neurosci. 34 11929–11947.

    Not in our library10.1523/jneurosci.1860-14.2014

  216. 216.

    Zhao Y. Xin Y. He Z. Hu W. (2018 ). Function of connexins in the interaction between glial and vascular cells in the central nervous system and related neurological diseases. Neural Plast. 2018:6323901.

    Not in our library10.1155/2018/6323901

  217. 217.

    Zhao Z. Nelson A. R. Betsholtz C. Zlokovic B. V. (2015 ). Establishment and dysfunction of the blood-brain barrier. Cell 163 1064–1078.

    Not in our library10.1016/j.cell.2015.10.067

  218. 218.

    Zlokovic B. V. (2005 ). Neurovascular mechanisms of Alzheimer’s neurodegeneration. Trends Neurosci. 28 202–208.

    Not in our library10.1016/j.tins.2005.02.001

  219. 219.

    Zonta M. Angulo M. C. Gobbo S. Rosengarten B. Hossmann K.-A. Pozzan T. (2003 ). Neuron-to-astrocyte signaling is central to the dynamic control of brain microcirculation. Nat. Neurosci. 6 43–50.

    Not in our library10.1038/nn980

Reads

Read by people on this page

None yet.

Checked or read by AI through naulon

None yet.

A person counts once a day per paper. We keep no cookie and no address: a reader is a hash that changes every day. Any month under five reads shows no number.

Are you an author?

Is this your paper?

Claim it to add your note and be paid when agents cite it. Free.