Evidence map›Paper›PMID 41068808›Full record

ArticleInternational journal of retina and vitreous2025

Evaluating the quantity and spatial density of macrophage-like cells in patients with retinal vascular disease and healthy subjects via non-invasive retinal imaging.

Farhad Ghaseminejad, Thomas J van Rijssen, Parsa Khatami, Pedro L Rissoli, Ricky Chen, Yudan Chen, Brendan Tao, Myeong Jin Ju, Faisal Beg, Eduardo V Navajas

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Article in International journal of retina and vitreous, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

10 authors.

Farhad GhaseminejadDepartment of Ophthalmology & Visual Sciences, University of British Columbia, Vancouver, BC, Canada.
Thomas J van RijssenDepartment of Ophthalmology, Leiden University Medical Center, Leiden, Netherlands.
Parsa KhatamiDepartment of Ophthalmology & Visual Sciences, University of British Columbia, Vancouver, BC, Canada.
Pedro L RissoliDepartment of Ophthalmology & Visual Sciences, University of British Columbia, Vancouver, BC, Canada.
Ricky ChenSchool of Engineering, Simon Fraser University, Vancouver, BC, Canada.
Yudan ChenDepartment of Ophthalmology & Visual Sciences, University of British Columbia, Vancouver, BC, Canada.
Brendan TaoDepartment of Ophthalmology & Vision Sciences, University of Toronto, Toronto, ON, Canada.
Myeong Jin JuDepartment of Ophthalmology & Visual Sciences, University of British Columbia, Vancouver, BC, Canada.
Faisal BegSchool of Engineering, Simon Fraser University, Vancouver, BC, Canada.
Eduardo V NavajasDepartment of Ophthalmology & Visual Sciences, University of British Columbia, Vancouver, BC, Canada. edunavajas@gmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveHere we investigate the spatial density and distribution of macrophage-like cells (MLCs) in ischemic retinal diseases, including branch retinal vein occlusion (BRVO), central retinal vein occlusion (CRVO), and proliferative diabetic retinopathy (PDR), compared to healthy controls.

methodsIn this pilot investigation with prospective cross-sectional design, OCT angiography (OCTA) images were obtained from 20 eyes across four groups (BRVO, CRVO, PDR, controls). Using a standardized semi-automated image processing protocol, MLCs were identified and quantified over a 6 × 6 mm area temporal to the macula. Additionally, perfusion densities were measured, and analyses were performed to assess differences in MLC counts and their correlations with perfusion.

resultsPatients with BRVO, CRVO, and PDR exhibited significantly higher MLC counts compared to controls (p = 0.002 for all comparisons). Median MLC counts were lowest in controls (132; 95% CI, 63–180), followed by BRVO (382; 95% CI, 290–446), CRVO (688; 95% CI, 507–716), and highest in PDR patients (973; 95% CI, 805–999). A moderate-to-strong negative correlation was found between perfusion density and MLC count, suggesting increased MLC accumulation in areas of reduced perfusion in the superior vascular complex (p = 0.04), deep vascular complex (p < 0.01), as well as combined vascular complexes (p = 0.01).

conclusionHere, we demonstrate that MLC density is significantly elevated in BRVO, CRVO, and PDR compared to healthy eyes and is inversely correlated with retinal perfusion. By applying consistent imaging and analysis across a wider peripheral retinal field, these findings highlight MLC quantification as a potential biomarker for disease severity and progression in ischemic retinopathies. Future investigations should explore whether modulating MLC responses could offer new therapeutic strategies to improve outcomes in these conditions.

Identifiers

PMID41068808
PMCPMC12512729

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