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Retinal perivascular macrophages regulate immune cell infiltration during neuroinflammation in mouse models of ocular disease
Jacob K. Sterling, Amrita Rajesh, Steven Droho, Joyce Gong, Andrew L. Wang, Andrew P. Voigt, C. Elysse Brookins, Jeremy A. Lavine
Jacob K. Sterling, Amrita Rajesh, Steven Droho, Joyce Gong, Andrew L. Wang, Andrew P. Voigt, C. Elysse Brookins, Jeremy A. Lavine
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Research Article Ophthalmology

Retinal perivascular macrophages regulate immune cell infiltration during neuroinflammation in mouse models of ocular disease

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Abstract

The blood-retina barrier (BRB), which is disrupted in diabetic retinopathy (DR) and uveitis, is an important anatomical characteristic of the retina, regulating nutrient, waste, water, protein, and immune cell flux. The BRB is composed of endothelial cell tight junctions, pericytes, astrocyte end feet, a collagen basement membrane, and perivascular macrophages. Despite the importance of the BRB, retinal perivascular macrophage function remains unknown. We found that retinal perivascular macrophages resided on postcapillary venules in the superficial vascular plexus and expressed MHC class II. Using single-cell RNA-Seq, we found that perivascular macrophages expressed a prochemotactic transcriptome and identified platelet factor 4 (Pf4, also known as CXCL4) as a perivascular macrophage marker. We used Pf4Cre mice to specifically deplete perivascular macrophages. To model retinal inflammation, we performed intraocular CCL2 injections. Ly6C+ monocytes crossed the BRB proximal to perivascular macrophages. Depletion of perivascular macrophages severely hampered Ly6C+ monocyte infiltration. These data suggest that retinal perivascular macrophages orchestrate immune cell migration across the BRB, with implications for inflammatory ocular diseases including DR and uveitis.

Authors

Jacob K. Sterling, Amrita Rajesh, Steven Droho, Joyce Gong, Andrew L. Wang, Andrew P. Voigt, C. Elysse Brookins, Jeremy A. Lavine

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Figure 1

Flow cytometric identification of retinal macrophage heterogeneity.

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Flow cytometric identification of retinal macrophage heterogeneity.
(A) ...
(A) Flow cytometric gating strategy. Top left panel: Live cells were identified from singlets. Bottom left panel: CD45+ cells were identified from live, singlet cells. Top middle panel: Lineage (CD4+, CD8+ [T cells], B220 [B cells], Ly6G [neutrophils], NK1.1 [NK cells], SiglecF [eosinophils]) versus CD11b plot to gate forward CD11b+Linneg mononuclear phagocytes. Bottom middle panel: CD64+ macrophages were identified. Top right panel: Tmem119GFP versus Cx3cr1 plot to delineate Cx3cr1hiTmem119GFP+ microglia. Bottom right panel: Nonmicroglia were plotted on a CD206 versus CD169 plot to identify CD206hiCD169+ hyalocytes and CD206intCD169neg perivascular macrophages. FSC-A, forward scatter area. (B) Modal frequency histogram for CD206 expression. (C) Hyalocytes expressed the most CD206, while perivascular macrophages expressed intermediate CD206 levels. (D) Modal frequency histogram for CD169 expression. (E) Hyalocytes expressed the most CD169, whereas perivascular macrophages expressed low levels of CD169. (F) Microglia were the most abundant retinal macrophages, followed by perivascular macrophages and hyalocytes. Data are presented as the mean ± SEM. ***P < 0.001 and ****P < 0.0001, by repeated-measures, 1-way ANOVA followed by Tukey’s multiple-comparison test. n = 10 per group. pvMac, perivascular macrophages.

Copyright © 2026 American Society for Clinical Investigation
ISSN: 0021-9738 (print), 1558-8238 (online)

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