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CNS-border associated macrophages respond to acute ischemic stroke attracting granulocytes and promoting vascular leakage
Jordi Pedragosa, Angélica Salas-Perdomo, Mattia Gallizioli and 11 more
Acta Neuropathologica Communications · 2018
Abstract
Electronic supplementary material. The online version of this article (10.1186/s40478-018-0581-6) contains supplementary material, which is available to authorized users.
Full text
From PubMed Central, U.S. National Library of Medicine, as current on Oct 24, 2026. Paragraph numbers are ours, so an answer can point at one.
Introduction
The central nervous system (CNS) contains different subsets of myeloid cells under steady-state conditions. Microglia reside in the brain parenchyma whereas macrophages remain at the CNS borders. CNS border-associated macrophages (BAMs) include cells resident in the perivascular spaces of brain vessels, lining the meninges, and the choroid plexus. BAMs carry out scavenger functions and are fully competent to present antigen to lymphocytes. BAMs derive from hematopoietic progenitors that populate the brain at embryonic stages and are not replaced by bone-marrow derived cells under physiological conditions. Little is known about the function of BAMs under pathological conditions but several lines of evidence support their involvement in the pathogenesis of brain diseases. Perivascular macrophages are protective during bacterial meningitis, and participate in the clearance of vascular Amyloid-β (Aβ) deposition in mouse models of Alzheimer’s disease. However, these cells also mediate oxidative stress and cerebrovascular dysfunction induced by Aβ. They contribute to endothelial, neurovascular, and cognitive dysfunction in several models of hypertension, and exacerbate the clinical symptoms in a model of experimental allergic encephalomyelitis. A recent study in the mouse using high-dimensional single-cell cytometry and fate mapping identified different subsets of BAMs and showed differential responses of BAMs compared to other brain myeloid cell populations during aging, experimental autoimmune encephalomyelitis, and in a model of Alzheimer’s disease.
Ischemic stroke is a frequent disease and one of the main causes of death and permanent disability worldwide. Lack of adequate blood supply to a brain region causes brain damage and triggers sterile inflammation and innate immune responses that are considered as putative targets for therapeutic intervention. While the responses of microglia to ischemic stroke have been extensively studied, those of BAMs remain largely unknown. Nevertheless, BAMs might be important in cerebrovascular diseases because they are located at the interface between the blood vessels, the brain parenchyma, and the immune system. In humans and rats, perivascular and meningeal macrophages have been classically characterised by the expression of CD163, a membrane scavenger receptor belonging to the cysteine-rich superfamily that is involved in the response to inflammation. In this study, we investigated the phenotype and function of CD163+ BAMs in the acute phase of cerebral ischemia/reperfusion in rats.
Materials and methods
An extended version of the methods is available in the Additional file 1.
Experimental brain ischemia
Focal brain ischemia was induced in adult male Sprague-Dawley rats (280–320 g body weight) by 1-h intraluminal occlusion of the right middle cerebral artery (MCAo) with reperfusion. Briefly, rats were anaesthetised with isoflurane and cortical cerebral perfusion was measured with a laser–Doppler flowmeter (PF4001 Master, Perimed). Body temperature was maintained at 37.5 °C during surgery with a heating blanket connected to a rectal probe. The MCA was occluded with a filament (Doccol #403912PK10Re). Rats were excluded from the study if the mean drop in cerebral perfusion during ischemia did not reach at least 65% of the basal value. Overall mortality after ischemia was <10%. A neurological test on a nine-point scale (0 = no deficit to 9 = highest handicap) was performed at 24 h. We scored: (i) spontaneous activity (moving/exploring = 0, moving without exploration = 1, no moving or only when pulled by the tail = 2); (ii) circling to the left (none = 0, circling when elevated by the tail and pushed or pulled = 1, spontaneous circling = 2, circling without displacement = 3); (iii) resistance to left (contralateral) forepaw stretching (full resistance = 0, rats offer some resistance but they allow stretching = 1, rats offer no resistance =2), and (iv) the parachute reflex (symmetrical = 0, asymmetrical = 1, contralateral forelimb retracted = 2). The brain was imaged 24 h after MCAo with MRI in a 7.0 T horizontal animal scanner (BioSpec, Bruker BioSpin, Ettlingen, Germany). Brain lesions were evaluated by T2 mapping and lesion volume was measured with ImageJ.
Drug administration
Anesthetized rats (isoflurane) received an i.c.v. injection of 30 μl liposomes containing either clodronate (5 μg/μl), or PBS as the vehicle (ClodronateLiposomes.com, Haarlem, The Netherlands) in the left ventricle. Treatment was randomly allocated according to a randomization list generated at the beginning of each set of experiments. Each treatment received a code that did not reveal its identity. Drug administration and all further interventions and measurements were carried out in a blinded fashion. Ischemia was induced 4 days after drug administration.
Flow cytometry
Fresh brain tissue was processed with the Neural Tissue Dissociation Kit (P) (#130–092-628, Miltenyi Biotec). A 30–0% percoll gradient was used to remove myelin and cell debris to obtain a single-cell suspension. The pellet was washed and stained with the life/death fixable cell staining Aqua (ThermoFisher Scientific), and cells were immunostained with anti-CD11b (clone OX-42, Alexa Fluor647; AbDSerotec or PerCP-Cy5.5; BioLegend) at 1:40 dilution, anti-CD163 (clone ED2, FITC or PE, AbdSerotec) diluted 1:20, anti-CD45 (clone OX-1 labelled with PE-Cy7, BioLegend, or Alexa Fluor 488 AbdSerotec) diluted 1:50, anti-granulocytes (clone REA535, APC-Vio770, Miltenyi Biotec) diluted 1:50, anti-CD3 (clone G4.18, PE, BD Pharmingen) diluted 1:100, anti-CD4 (clone OX-35, BV711, BD Biosciences) diluted 1:200, anti-CD8 (clone OX-8, Vioblue, Miltenyi-Biotec) diluted 1:200, anti-CD161 (clone 3.2.3, APC, Biolegend) diluted 1:200, anti-γδTCR (clone V65, APC-Vio770, Miltenyi-Biotec) diluted 1:100, and anti-CD25 (clone OX-39, FITC, BD Pharmingen) diluted 1:100. We used Flow-count Fluorospheres (Beckman-Coulter) for absolute cell counting. Data were acquired in a BD LSRFortessa SORP flow cytometer (BD Biosciencies) using the BD Diva software (BD Biosciences) and were analysed with FlowJo v10 software (FlowJo).
Cell sorting
CD163+ macrophages and microglia were isolated from the control rat brain and from the brain 16 h post-ischemia using fluorescence activated cell sorting (FACS). Briefly, the right brain hemisphere was processed with the Neural Tissue Dissociation Kit and a percoll gradient, as described above for flow cytometry, and single cells were immunostained with CD11b and CD163. CD11b+CD163+ cells corresponding to brain resident macrophages and CD11b+CD163− cells were collected in RNAse-free PBS using Aria II cell sorter (BD Biosciences). We verified the purity of the sorted cell populations by flow cytometry in independent experiments.
RNA extraction
RNA was extracted from samples of FACS-sorted CD163+ macrophages and FACS-sorted CD163− microglia with PureLink™ RNA Micro Kit (#12183016, Invitrogen). On-column DNAse step was performed to avoid genomic DNA contamination. RNA purity was assessed by RNA Pico Chip BioAnalyzer 2100 (Agilent). RNA was also extracted from brain tissue samples with the PureLink™ RNA Mini Kit (#12183018A, Invitrogen) using Trizol® Reagent (Life Technologies). In this case, we assessed the RNA quantity and quality using a ND-1000 micro-spectrophotometer (NanoDrop Technologies).
qRT-PCR
Total RNA was reverse-transcribed using a mixture of random primers (High Capacity cDNA Reverse Transcription kit, Applied Biosystems). For brain tissue, 1000 ng of total RNA were reverse-transcribed and the final product was diluted 6 times in RNAse-free water. For RNA of sorted cells, cDNA was pre-amplified (TaqMan® Pre Amp Master Mix (2×) #4384266) with a pool of TaqMan probes, and the final pre-amplified product was diluted 20 times with tris-EDTA (TE) buffer pH 8.0 (#BP2473, Fisher Bioreagents). Quantitative real-time RT-PCR analysis was carried out with Taqman system (#4304437, Life Technology) using the iCycler iQTM Multicolor Real-Time Detection System (Bio-Rad, Hercules, CA, USA).
RNA microarray and bioinformatics
Six RNA samples obtained from sorted CD11b+CD163+ cells (from three control rats and three ischemic rats at 16 h post-ischemia) with RIN values> 9.2 were selected for RNA microarray study with GeneChip Rat Genome 230 2.0 Array, 3’IVT Pico reagent kit (Affymetrix). The images were processed with the Expression Console software (Affymetrix) to check the array quality. Genes selected as being differentially expressed were clustered to look for common patterns of expression. Bioinformatics analyses of functional and biological significance were carried out.
Immunohistochemistry of paraffin embedded brain sections
Rats were anesthetized with isoflurane and perfused through the heart with saline followed by 4% PFA. Careful extraction of the brain from the skull allowed keeping most of the pia meningeal layer attached to the brain tissue. The brain was kept in 4% PFA overnight at 4 °C, washed in phosphate buffer and embedded in paraffin. Immunohistochemistry was carried out in 5 μm-thick paraffin section with the following primary antibodies: a mouse monoclonal antibody against CD163 (clone ED2, which recognizes the rat CD163 cell surface glycoprotein) (# MCA342GA, 0.5 mg/mL, AbD Serotec, Bio-Rad) diluted 1:50, and rabbit polyclonal antibodies against Iba-1 (# 019–19,741, 0.5 mg/mL, Wako Chemicals USA, Inc.) diluted 1:500, and against myeloperoxidase (MPO) (# A0398, 3.3 mg/mL, Dako), diluted 1:100, using the EnVisionTM Detection System; (# K5007, Dako). Following incubation with biotinylated secondary antibodies (anti-rabbit made in goat # BA-1000; and anti-mouse made in horse # BA2001; both from VECTOR and used at 1:200 dilution), the immunoreaction was visualized with the avidin-biotin peroxidase method (ABC, Vector, Palex Medical S.A., Sant Cugat del Vallès, Spain) and diamenobenzidine. Cell counting was performed in a blinded fashion.
Evans blue technique
A solution of 2% Evans blue (Sigma-Aldrich) (w/v in saline) was administered i.v. (4 mL/kg of body weight) 22 h after ischemia. Two hours later, rats were anesthetized and perfused with saline. We obtained images of 1-mm thick coronal sections of fresh brain that were analysed with ImageJ software.
Western blotting
Proteins were separated by electrophoresis in 12% polyacrilamide gels and were transferred to polyvinylidene fluoride membranes (Immobilon-P, # IPVH00010, MilliporeSigma) and incubated overnight at 4 °C with a goat polyclonal antibody anti-VEGF-A (#AF564, R&D) diluted 1:500, followed by a secondary anti-goat HRP antibody diluted 1:2000. β-tubulin was used as the loading control.
Post-mortem tissue of stroke patients
We studied the brain of three stroke patients (female; 63, 81 and 89 years old) deceased on day 1 after ischemic stroke onset. Two patients had right MCA infarcts and the third had a vertebro-basilar infarction, with a National Institute of Health Stroke Scale (NIHSS) severity score of 20, 13, and 9, respectively. Only the first of these patients received mechanical thrombectomy, whereas the other two patients did not receive any revascularization therapy. None of the patients received tPA. The mean ± SD time lapse from exitus to necropsy was 4.3 ± 3.2 h. Expert neuropathologists obtained ischemic tissue that was embedded in optimal cutting temperature (OCT) compound and immediately frozen in liquid nitrogen for later sectioning in a cryostat at 5 μm. The sections were processed for immunofluorescence using the following primary antibodies: mouse monoclonal antibody anti-CD163 (clone EDHu-1, 1 mg/mL, # MCA1853, Serotec, Bio-Rad) diluted 1:200; rabbit polyclonal antibody anti-VEGFA (0.9 mg/mL, # ab46154, Abcam) diluted 1:100; and sheep polyclonal antibody anti-vWF (# ab11713, 6.8 mg/mL, Abcam) diluted 1:100. Sections were incubated overnight at 4 °C with primary antibodies followed by incubation for 2 h at room temperature with secondary antibodies (Life Technologies): Alexa Fluor-488 (# A11017 anti-mouse made in goat, and # A21206 anti-rabbit made in donkey), Alexa Fluor-546 (# A10036 anti-mouse made in donkey, and # A10040 anti-rabbit made in donkey) and Alexa Flour-647 (# A21448 anti-sheep made in donkey), all diluted 1:500. 0.3% Sudan black in 70% ethanol was used to reduce tissue autofluorescence. Immunoreaction controls were carried out by omission of the primary antibodies, and by substituting the primary anti-VEGFA antibody by rabbit immunoglobulin fraction (# 0903, 20 mg/mL, Dako) diluted 1:2200. Sections were counterstained with 4′,6-diamidino-2-phenylindole (DAPI) (Invitrogen) to visualize the cell nuclei and they were observed under a confocal laser microscope (Zeiss LSM 880). Confocal images were processed with ImageJ software to display the pictures.
Statistical analyses
Comparisons between two groups were carried out with two-tailed Mann-Whitney or unpaired Student t-test after testing for normal distribution using the Kolmogorov-Smirnov test. Multiple comparisons were carried out with the non-parametric Kruskal-Wallis test followed by post-hoc Dunn’s test. Two-way ANOVA was used to compare group differences by treatment (clodronate vs. vehicle) and condition (ischemia vs. control). The Bonferroni’s Multiple Comparison tests was used for post-hoc analysis. Statistical analyses were carried out with GraphPad Prism software. The sample size in experiments designed to investigate the effect of drug treatment on stroke outcome was n = 16, as calculated using G*power 3.1 software (Düsseldorf University) with an estimated effect size d of 0.9, alpha level of 0.05, and statistical power of 0.8.
Features of CD163+ cells in the control brain and in the acute phase of stroke
The CD163+ rat brain cells studied in this work include perivascular macrophages and subpial macrophages that remained attached to the glial limitans after removing the brain from the skull (Fig. 1a). Flow cytometry of control brain tissue showed a higher level of CD45 expression in CD163+ macrophages than in microglia (CD45lowCD11b+ cells) (Fig. 1b). Ischemia induces macrophage infiltration to the brain peaking after several days. We examined the CD163+ cells and the CD45+CD11b+ myeloid cells in the control brain tissue and the brain tissue at 16 h and 24 h post-ischemia. Following ischemia, the population of CD45hiCD11b+ myeloid cells progressively increased. In contrast, the population of CD163+ cells remained similar to controls at 16 h and showed a tendency to increase in the ipsilateral hemisphere at 24 h (Fig. 1b,c). These results showed that most peripheral myeloid cells infiltrating the brain tissue in the first hours post-ischemia did not express CD163.
Ischemia-induced changes in the gene expression profile of CD163+ BAMs
To characterize the general phenotype of CD163+ macrophages and compare it with that of microglia, we isolated the CD163+ cells and the CD163− microglia from the control rat brain by fluorescence-activated cell sorting (FACS) (Fig. 2a, see gates used for cell sorting in Additional file 1: Figure S1a). We checked the purity (mean ± SD, n rats) of the sorted cells by flow cytometry and found that 92.0 ± 4.2% (n = 4) of the sorted cells were CD11b+CD163+ cells. We also verified by flow cytometry that the CD11b+CD163− cell population was enriched in CD45dimCD11b+ microglia (92.9 ± 2.4%, n = 2). We then performed additional cell sorting experiments for RNA extraction and gene expression studies (Fig. 2a). By qRT-PCR we detected Cd163 mRNA expression in the sorted CD163+ population but not in the sorted microglia, as expected, whereas the expression of Aif1 (Iba-1) was higher in microglia than in the CD163+ cells, and Siglec1 (CD169) expression was detected in CD163+ cells but not in microglia (Fig. 2b).
We aimed to investigate whether ischemia changed the gene expression profile of the resident CD163+ macrophages. We isolated the CD11b+CD163+ cells by FACS as above in groups of control non-ischemic rats and rats subjected to ischemia plus 16 h of reperfusion (Additional file 1: Figure S1b). We chose to study this time point after ischemia given that myeloid cell infiltration was still very mild and the majority of CD163+ cells were resident macrophages (Fig. 1b,c). We obtained RNA from the sorted cells, and processed it with Affymetrix microarrays. Unsupervised clustering analysis showed that the samples clustered according to the groups (Additional file 1: Figure S2a), and principal component analysis precisely separated the ischemic from the control samples (Additional file 1: Figure S2b). We selected the genes showing statistically significant differences between ischemic and control groups (adjusted p-value< 0.01) and filtered for∣logFC∣> 2. According to the above criteria, the expression of 1493 genes was up-regulated whereas the expression of 594 genes was down-regulated in CD163+ macrophages after ischemia, as graphically illustrated in the volcano plot (Additional file 1: Figure S2c). The global heat map illustrates differentially expressed genes in these groups (Fig. 2c). The top 25 up-regulated genes (Additional file 1: Table S1) included genes related to the extracellular matrix, such as Vcan (versican), Sdc1 (syndecan), Fn1 (fibronectin-1), Spp1 (osteopontin), Sema3c (semaphorin 3c), Mmp7 (matrix metalloproteinase 7, MMP-7), and Mmp14 (MMP-14) supporting a role of CD163+ macrophages in extracellular matrix remodelling. Also, we detected up-regulation of genes involved in nicotinamide adenine dinucleotide metabolism (Cd38), and inflammatory and immune responses, like Tspo, Cd8a, and Itgax (CD11c). The sorted CD163+ cells expressed genes recently identified in BAMs of the mouse brain, such as Mrc1 (CD206), Mertk, Adgre1 (F4.80), Fcgr3a (CD16), C5ar1 (CD88), Lyve1, RT1-ba (MHC class II antigen), Cd44, Cd38, and Tmem119, Csf1r, and Cxcr4. However, the expression of most of these genes did not significantly change after ischemia, with the exception of increased expression of Cd38 (Additional file 1: Figure S3A) and Cd44 (Fig. 3b). Neither control nor ischemic CD163+ BAMs showed expression of genes encoding for typical microglial proteins, like Sall1. Among the top genes down-regulated after ischemia we found the α-amino-3-hydroxy-5-methyl-4-isoxazolepropionic acid (AMPA) glutamate receptor Gria2, genes related to subcellular organization, like Syne2 and Fam65b, and genes of the extracellular matrix, such as Adam23, certain growth factor receptors, like Egfr, and genes related to immune responses particularly associated to inhibition of leukocyte activation, such as Siglec5 (Additional file 1: Table S2).
The analysis of biological significance was based on enrichment analysis on different annotation databases to highlight biological categories in which the selected genes appear to be over-represented after brain ischemia. The GO analysis identified over-representation, enriched KEGG entities and clusters for terms related to acute inflammatory response, cytokine activity, chemokine activity, response to hypoxia, extracellular space, extracellular matrix, metalloproteinases, collagen degradation, blood vessel remodelling, angiogenesis, and response to oxidative stress, amongst others (see Additional file 1: Figure S3 for heat maps of genes in GO-terms representative of the inflammatory response). Down-regulated KEGG pathways included: ATPase, Ca++ transporting; ATPase, Na+/K+ transporting; Cd7 molecule; KIT ligand; beta-2-adrenergic receptor; and epidermal growth factor receptor (Egfr) pathway. Ingenuity Pathway Analysis (IPA) identified top canonical pathways (Additional file 1: Figure S4A) and top associated disease/functions (Fig. 2d). Amongst the highly up-regulated pathways, hypoxia inducible factor-1 (HIF-1) signalling highlighted the response to ischemic conditions (Additional file 1: Figure S4), illustrated by up-regulation of Hif1a and vascular endothelial growth factor-A (Vegfa) genes (Fig. 3a, Additional file 1: Figure S3). The term lipopolysaccharide (LPS) was amongst the top upstream regulators, suggesting acquisition of pro-inflammatory features reminiscent of the response to LPS. However, ischemia-induced CD163+ macrophage activation showed a distinctive metabolic and inflammatory signature. For instance, regarding arginine metabolism, inducible nitric oxide synthase (iNOS, Nos2) was not overrepresented whereas arginase-1 (Arg1) was one of the top up-regulated genes (Additional file 1: Table S1). This effect is expected to suppress excessive nitric oxide production and promote L-arginine consumption impairing lymphocyte activation in response to antigen.
Ischemia induces the expression of leukocyte chemoattractants in CD163+ BAMs
The above gene pathway analyses in CD163+ macrophages highlighted the response to wounding, inflammation, and chemotaxis after ischemia. A heatmap representation is shown for the GO term Leukocyte chemotaxis where several genes up-regulated by ischemia are detailed (Fig. 3a). The IPA analysis identified over-representation of the term Neutrophil recruitment (Fig. 3b). The analyses showed up-regulation of genes such as Spp1, interleukin-6 (Il6), C-X-C motif chemokine ligands 14 (Cxcl14), S1008a, and L-selectin (Sell), amongst others. Ischemia also up-regulated genes encoding for chemokines involved in recruiting T helper type 2 (Th2) lymphocytes, like Ccl22 and Ccl17 (Fig. 3, Additional file 1: Table S1). For validation purposes, some of the up-regulated genes related to leukocyte chemotaxis were studied by qRT-PCR using RNA of CD163+ macrophages sorted from different groups of control and ischemic rats 16 h post-ischemia (Fig. 3c). We compared the expression of these genes in FACS-sorted CD11b+CD163+ cells versus sorted CD11b+CD163− cells enriched in microglia (Additional file 1: Figure S1). CD163+ macrophages seemed to work in consonance with microglia to promote leukocyte recruitment to the ischemic brain since most of the genes that we studied by qRT-PCR showed similar (e.g Spp1, C1qbp) or weaker (e.g. Sell) expression in CD163+ macrophages compared to microglia. However, ischemia up-regulated certain genes, such as Ccl17, preferentially in CD163+ macrophages (Fig. 3d). Altogether, these results suggested the possibility that CD163+ macrophages participated in the recruitment of leukocytes after brain ischemia.
Selective depletion of BAMs but not microglia in control and ischemic brain
To obtain functional information on the role of BAMs in the acute phase of stroke, we carried out loss-of-function experiments by intracerebroventricular (i.c.v.) administration of liposomes containing clodronate. Macrophages scavenge the liposomes and the intracellular accumulation of the toxin clodronate induces macrophage cell death. Liposomes containing either clodronate or vehicle (PBS) were administered in the left ventricle and the brain was analyzed 5 days later. Flow cytometry studies of the brain cells showed that clodronate liposomes induced a strong reduction (65–70%) of the CD163+ population in both hemispheres (Fig. 4a,b). We then checked that CD163+ cell depletion was maintained after brain ischemia. We occluded the right MCA four days after administration of clodronate or vehicle liposomes to the left ventricle and studied the brain tissue 24 h post-ischemia (Fig. 4c). CD163+ cells were also reduced in the ischemic tissue after clodronate treatment, as assessed by flow cytometry (Fig. 4d). Immunohistochemistry (Fig. 4e) showed depletion of CD163+ macrophages located in the perivascular spaces and on the glia limitans under the pia matter. Of note, we verified that i.c.v. clodronate liposome treatment did not significantly affect the number of parenchymal microglia compared to the vehicle group in the control and ischemic brain tissue, as shown by immunohistochemistry (Iba1+) (Additional file 1: Figure S5a), and flow cytometry (CD45dimCD11b+) (Additional file 1: Figure S5b). In both hemispheres of the clodronate group we observed the presence of CD163− Iba1+ perivascular cells (Fig. 4e, Additional file 1: Figure S5b) that might correspond to peripheral myeloid cells. The effect of i.c.v. administration of clodronate was local and it did not modify blood cell counts (Additional file 1: Figure S6).
BAM depletion ameliorated the stroke-induced neurological dysfunction
To find out whether BAM depletion affected the extent of brain damage we measured the size of the brain lesion and assessed the neurological function 24 h post-ischemia in rats treated with clodronate or vehicle liposomes, as above. One-hour ischemia induced large brain lesions and BAM depletion did not cause a major effect in the volume of infarction (Fig. 5). However, rats depleted of BAMs showed a mild but significant improvement of the neurological score (Fig. 5), suggesting that BAM activity has negative consequences for the neurological status in the acute phase of stroke.
BAM depletion alters leukocyte recruitment after brain ischemia
We then investigated by qRT-PCR whether depletion of BAMs altered the RNA expression of cytokines and chemokines in the brain tissue 24 h after ischemia. The brain of rats treated with clodronate liposomes did not show a significant reduction in the mRNA expression of the leukocyte chemoattractants and chemokines that we examined (Fig. 6a). This result is compatible with ischemia-induced expression of these genes in other cells in addition to CD163+ macrophages, including microglia and potentially astrocytes or other neural cells. In spite of this, depletion of CD163+ cells reduced the percentage of infiltrating REA535+ granulocytes in the ischemic hemisphere, as determined by flow cytometry (Fig. 6b,c) whereas the numbers of other leukocytes were not affected (Additional file 1: Figure S7). To validate this finding, we carried out immunohistochemistry with anti-myeloperoxidase antibodies in an independent group of rats. Blind cell counting showed less infiltrating granulocytes after BAM depletion, particularly in cortical regions (Fig. 7a). To further investigate possible regional differences we carried out a second flow cytometry study in an independent group of ischemic rats where we dissected out cortical and subcortical regions and analysed them separately. BAM depletion reduced REA535+ granulocyte numbers in the ischemic cortex, whereas subcortical regions only showed a non-significant trend (Fig. 7b). In contrast to the effect on granulocyte recruitment, BAM depletion did not significantly modify the numbers of T cells, NK cells, or myeloid mononuclear cells infiltrating the ischemic tissue (Additional file 1: Figure S8).
BAMs increase cortical vascular permeability 24 h after ischemia
The microarray analysis of sorted CD163+ macrophages identified over-representation of genes involved in the post-ischemic response to hypoxia, such as the HIF-target gene Vegfa (Fig. 3a, Additional file 1: Figure S3a). BAM depletion reduced the expression of Vegfa mRNA in the cerebral cortex 24 h post-ischemia, whereas this effect was milder in subcortical regions (Fig. 8a). Ischemia induced the expression of VEGF164 protein (Fig. 8b), a VEGF-A isoform (similar to human VEGF165) that is secreted and has the capacity to bind to the extracellular matrix. In agreement with the mRNA results, BAM depletion reduced the cortical expression of VEGF164 (Fig. 8b).
Given that hypoxia-induced VEGF in the brain produces acute vascular leakage, we studied whether BAM depletion affected vascular permeability. Notably, ischemia-induced Evans blue extravasation from the ipsilateral pial vessels and cortex was minimal in rats depleted of BAMs (Fig. 8c), which showed a reduced volume of tissue with Evans blue extravasation in the cortex but not in subcortical regions. These results suggest that depletion of BAMs prevented ischemia-induced leakage of pial and cortical vessels.
We then investigated whether these findings might be relevant to acute ischemic stroke in humans. To this end, we studied CD163+ macrophages in post-mortem brain tissue of three patients with fatal ischemic stroke deceased 24 h after symptom onset. VEGF immunoreaction was detected surrounding blood vessels and we found some CD163+ perivascular macrophages positive for VEGF (Fig. 9). We observed that VEGF immunoreactivity was more prominent in the two patients that did not receive any revascularization therapy than in the patient that received mechanical thrombectomy. This effect is likely attributable to persistent ischemic conditions in the former. The described perivascular VEGF immunoreaction was mainly found at the periphery of the infarcted core. In the infarcted core, we also observed VEGF immunoreactivity in parenchymal CD163− cells with a pattern of expression that varied across the tissue and between patients. Altogether, these results are compatible with the possibility that human CD163+ perivascular macrophages secreted VEGF in acute ischemic stroke.
Discussion
BAMs are players at the interface between the nervous system and the immune system. However, the precise functions of these cells under pathological conditions remain largely unknown. This study provides evidence for a role of BAMs increasing vascular permeability, facilitating granulocyte recruitment, and contributing to neurological dysfunction in the acute phase of ischemic stroke. BAMs express typical myeloid cell markers like microglia but their differential phenotypic features were less known until recently published studies provided an extensive description of the phenotype of BAMs in the mouse brain. We verified that rat CD163+ BAMs expressed genes encoding for proteins identified in these latter works. However, the expression of most of these BAM genes did not significantly change 16 h post-ischemia versus controls, with the exception of increased expression of Cd38 and Cd44. Although CD44 expression was previously considered as a marker of brain infiltrating cells, we detected the expression of Cd44 in CD163+ BAMs obtained from the control rat brain, in agreement with the finding of CD44+ BAMs in the control mouse brain. Furthermore, the expression of Cd44 increased after ischemia, as described for CD44 expression in mouse BAMs in EAE. In addition, we found that rat CD163+ BAMs express Siglec1 (CD169) and low levels of Aif1 (Iba-1), in contrast to microglial cells that do not express Siglec1 and express comparatively higher levels of Aif1.
Brain ischemia causes necrotic neuronal cell death with release of danger signals that activate the microglia, but the response of BAMs is currently unknown. We found that these cells respond to ischemic conditions by showing changes in the gene expression profile enabling adaptation to hypoxia and acquisition of novel cellular functions involved in extracellular matrix-vascular interactions and inflammatory responses. BAMs upregulated the expression of genes regulating neutrophil chemotaxis as part of the reprogramming process induced by ischemia. The anatomic location of these cells confers them the capacity to participate in the communication network between the brain environment and the vasculature. Brain ischemia induces neutrophil extravasation from leptomeningeal vessels and neutrophil accumulation in perivascular spaces of the affected brain region. Our study suggests that CD163+ macrophages attract granulocytes to the leptomeningeal and perivascular spaces in response to brain ischemia. These findings are in consonance with a study showing that perivascular macrophage depletion reduced brain neutrophil infiltration in a model of vesicular stomatitis viral infection. Furthermore, perivascular macrophages mediate neutrophil recruitment during bacterial skin infection. Other works reported the involvement of mononuclear cells in neutrophil attraction. For instance, specific subsets of monocytes are key regulators of neutrophil extravasation in the lung.
Functional analysis of genes over-represented in CD163+ BAMs after brain ischemia versus controls highlighted the activation of neovascularization processes and the HIF-1 pathway. This finding is consistent with the observed up-regulation of the HIF-1α target gene Vegfa, a potent modulator of angiogenesis and regulator of the cellular redox status. We observed the expression of VEGF in the post-mortem human brain tissue of stroke patients deceased 24 h after stroke onset, and detected VEGF surrounding some brain vessels and CD163+ perivascular macrophages, suggesting that the findings in rats might be valid in acute ischemic stroke patients. Acute production of VEGF is associated with increases in vascular permeability. In our study, BAM depletion in the rats decreased the ischemia-induced expression of Vegfa mRNA and the secreted protein isoform, VEGF164, in the cerebral cortex. Furthermore, BAM depletion reduced Evans blue extravasation from pial and cortical vessels, whereas these effects were less marked in subcortical regions. We argue that the greater cortical effect might be due to the activity of subpial macrophages increasing the permeability of pial vessels in the acute phase of stroke. While we were preparing this manuscript, a study reported pathogenic actions of CD163+ macrophages in atherosclerosis where these cells showed activation of HIF1α and VEGF expression and increased vascular permeability and inflammatory cell recruitment. Interestingly, perivascular macrophages are involved in maintaining vascular barrier function in the periphery under physiological conditions. Here we show that an ischemic stroke challenge changes the homeostatic function of CD163+ macrophages by inducing cellular activation of the HIF pathway and generation of VEGF and inflammatory mediators. This effect in the very acute phase of stroke does not exclude putative vasculoprotective effects of perivascular macrophages in chronic phases after stroke.
Our study did not find any differences in infarct volume 24 h post-ischemia in rats depleted of BAMs, in spite that they showed reduced granulocytes in the ischemic brain. Previous studies reported reduced infarct volume after ischemia/reperfusion in rats depleted of neutrophils. However, the effects were not entirely reproduced in a model of severe ischemia/reperfusion in rats, or in a model of ischemia/reperfusion plus thrombolytic treatment in spontaneous hypertensive rats where only one out of two different neutrophil depletion strategies reduced the lesion size. Also, neutrophil depletion reduced infarct size in hyperlipidemic ApoE−/− mice but not in normolipidemic wild-type mice. Therefore, it was unlikely that the moderate reduction of granulocyte recruitment induced by BAM depletion in our model of severe ischemia/reperfusion was sufficient to cause major differences in the size of the severe brain lesion induced by our ischemia model. Nevertheless, we found some improvement of the neurological function in the absence of BAMs that was attributable to attenuated granulocyte recruitment and preservation of pial and cortical vascular integrity after ischemia.
A limitation of our study is that it only addressed the function of BAMs in the acute phase of stroke. We restricted our study to the first hours after stroke to avoid the putative confounding effect of massive macrophage infiltration that takes place in the days that follow stroke. Moreover, our BAM depleting strategy is transient and repopulation of these cells by peripheral macrophages could follow at later time points. Long-term studies using different experimental approaches are required to understand the consequences of BAM activity for the evolution of the brain lesion and the repair processes, particularly regarding extracellular matrix and vascular remodelling. Another limitation is that we could not separate perivascular from subpial macrophages since all of them express CD163 in the rat brain. Depleting the CD163+ macrophage population had more effects in cortical rather than in subcortical regions after ischemia. We suspect that subpial macrophages may play a role by producing VEGF and regulating vascular permeability and extravasation of granulocytes from pial vessels. These effects could exacerbate the brain lesion by impairing the integrity of the collateral circulation. Finally, we conducted our experimental study in young male rats, while stroke mainly affects old people of both sexes. Studies in aged animals and females are required to find our whether BAMs show a similar response in these conditions.
Conclusions
In summary, this study provides evidence for a role of BAMs in granulocyte chemoattraction and vascular permeability following acute ischemic stroke. The study also suggests that targeting these potentially negative responses of brain resident macrophage might help to preserve cortical blood supply and improve the neurological function in the acute phase of cerebral ischemia/reperfusion.
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