Evidence map›Paper›PMID 38152885›Full record

ArticleArteriosclerosis, thrombosis, and vascular biology2024

Imaging the Retinal Vascular Mural Cells In Vivo: Elucidating the Timeline of Their Loss in Diabetic Retinopathy.

Bonnie B Huang, Hisashi Fukuyama, Stephen A Burns, Amani A Fawzi

Open access · greenAbstract read
In one paragraph

Article in Arteriosclerosis, thrombosis, and vascular biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 pooled it
4.5field-weighted citation impact, top 5% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

14 citing papers in PubMed, 1 synthesis or guideline pooled it, 16 citations in OpenAlex.

  1. Pooled it
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  4. Article
  5. [Quantitative Assessment of Microvascular Changes in Diabetic Retinopathy and Their Association With Blood-Retinal Barrier Impairment].Sichuan da xue xue bao. Yi xue ban = Journal of Sichuan University. Medical science edition · 2026
    Article
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  8. Review
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  11. Article
  12. Resilience to diabetic retinopathy.Progress in retinal and eye research · 2024
    Review
  13. Article
  14. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors at 2 institutions in 2 countries.

Bonnie B HuangDepartment of Ophthalmology, Feinberg School of Medicine, Northwestern University, Chicago, IL (B.B.H., H.F., A.A.F.).ORCID 0000-0002-3820-4565
Hisashi FukuyamaDepartment of Ophthalmology, Feinberg School of Medicine, Northwestern University, Chicago, IL (B.B.H., H.F., A.A.F.).ORCID 0000-0002-5991-3846
Stephen A BurnsSchool of Optometry, Indiana University, Bloomington (S.A.B.).ORCID 0000-0001-5348-035X
Amani A FawziDepartment of Ophthalmology, Feinberg School of Medicine, Northwestern University, Chicago, IL (B.B.H., H.F., A.A.F.).ORCID 0000-0002-9568-3558
Northwestern University · USIndiana University Bloomington · US

Funding

Multimodal Retinal Functional Imaging for Diabetic RetinopathyR01EY019951 · NEI · UNIVERSITY OF SOUTHERN CALIFORNIA · PI FAWZI, AMANI A, JIAO, SHULIANG · 2011 to 2015
$3.0M
Exploring the angiogenesis-to-fibrosis transition in ischemic retinopathies RenewalR01EY030121 · NEI · NORTHWESTERN UNIVERSITY AT CHICAGO · PI Amani A Fawzi · 2020 to 2026
$2.9M
Monitoring the hemodynamic response to therapy in diabetic retinopathyR01EY031815 · NEI · NORTHWESTERN UNIVERSITY AT CHICAGO · PI FAWZI, AMANI A · 2020 to 2023
$1.9M
The Northwestern Summer Research Program for Medical StudentsT35DK126628 · NIDDK · NORTHWESTERN UNIVERSITY AT CHICAGO · PI Daniela P Ladner · 2021 to 2026
$302k
NEI NIH HHS R01 EY019951NEI NIH HHS R01 EY030121NEI NIH HHS R01 EY031815NIDDK NIH HHS T35 DK126628
6 · The paper itself

Abstract

backgroundVascular mural cells (VMCs) are integral components of the retinal vasculature with critical homeostatic functions such as maintaining the inner blood-retinal barrier and vascular tone, as well as supporting the endothelial cells. Histopathologic donor eye studies have shown widespread loss of pericytes and smooth muscle cells, the 2 main VMC types, suggesting these cells are critical to the pathogenesis of diabetic retinopathy (DR). There remain, however, critical gaps in our knowledge regarding the timeline of VMC demise in human DR.

methodsIn this study, we address this gap using adaptive optics scanning laser ophthalmoscopy to quantify retinal VMC density in eyes with no retinal disease (healthy), subjects with diabetes without diabetic retinopathy, and those with clinical DR and diabetic macular edema. We also used optical coherence tomography angiography to quantify capillary density of the superficial and deep capillary plexuses in these eyes.

resultsOur results indicate significant VMC loss in retinal arterioles before the appearance of classic clinical signs of DR (diabetes without diabetic retinopathy versus healthy, 5.0±2.0 versus 6.5±2.0 smooth muscle cells per 100 µm;

conclusionsOur results offer a new framework for understanding the pathophysiologic course of VMC compromise in DR, which may facilitate the development and monitoring of therapeutic strategies aimed at VMC preservation and potentially the prevention of clinical DR and its associated morbidity. Imaging retinal VMCs provides an unparalleled opportunity to visualize these cells in vivo and may have wider implications in a range of diseases where these cells are disrupted.

Indexed as

Diabetes MellitusDiabetic RetinopathyMacular EdemaEndothelial CellsFluorescein AngiographyHumansRetinaRetinal VesselsTomography, Optical Coherenceblood-retinal barrierdiabetic retinopathyhealthy volunteersmacular edemaoptical imagingpericytesretinal vessels

Identifiers

PMID38152885
PMCPMC10842708
OpenAlexW4390340960

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.