Evidence mapPaperPMID 41663745Full record

ArticleCommunications medicine2026

Cross-organ analysis reveals associations between vascular properties of the retina, the carotid and aortic arteries, and the brain.

Sofía Ortín Vela, Sven Bergmann

Abstract read
In one paragraph

Article in Communications medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
field-weighted citation impact
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

2 authors.

Sofía Ortín VelaDepartment of Computational Biology, University of Lausanne, Lausanne, Switzerland. sofia.ortinvela@unil.ch.ORCID http://orcid.org/0000-0002-2268-9772
Sven BergmannDepartment of Computational Biology, University of Lausanne, Lausanne, Switzerland. sven.bergmann@unil.ch.ORCID http://orcid.org/0000-0002-6785-9034

Funding

Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung (Swiss National Science Foundation) CRSII5 209510
6 · The paper itself

Abstract

backgroundVascular properties of the retina are indicative of both ocular and systemic cardio- and cerebrovascular health. However, the specific relationships between retinal and non-retinal vascular phenotypes have not been systematically investigated in large samples. This study aims to compare cross-organ phenotypic and genetic relationships between vascular characteristics across different body sites.

methodsWe compared vascular image-derived phenotypes from the brain, carotid artery, aorta, and retina, using UK Biobank sample sizes ranging from 18,808 to 68,740 participants. We examined phenotypic and genetic correlations, as well as common associated genes and pathways.

resultsHere we show that white matter hyperintensities are positively correlated with carotid intima-media thickness (r = 0.03), lumen diameter (r = 0.14), and aortic cross-sectional areas (r = 0.09), but negatively correlated with aortic distensibilities (r ≤ -0.05). Arterial retinal vascular density shows negative correlations with white matter hyperintensities (r = -0.04), intima-media thickness (r = -0.04), lumen diameter (r = -0.06), and aortic areas (r = -0.05), while positively correlating with aortic distensibilities (r = 0.04). Significant correlations also persist after correcting for hypertension.

conclusionsOur findings shed light on the complex interplay between vascular morphology across different organs, revealing both shared and distinct genetic underpinnings. Retinal vascular features reflect broader systemic vascular morphology and offer an accessible window into cardio- and cerebrovascular health.

Identifiers

PMID41663745
PMCPMC12894999

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.