Evidence map›Paper›PMID 41282433›Full record

ArticleGlobal heart2025

Causal Effects Between Retinal Characteristics and Cardiovascular Diseases: Insights from Genetic Correlation, Mendelian Randomization, and Cross-Sectional Study.

Xuehao Cui, Chao Sun, Dejia Wen, Jishan Xiao, Xiaorong Li

Abstract read
In one paragraph

Article in Global heart, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

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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

1 citing paper in PubMed.

  1. 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

5 authors.

Xuehao CuiJohn Van Geest Centre for Brain Repair and MRC Mitochondrial Biology Unit, Department of Clinical Neuroscience, University of Cambridge, Cambridge, CB2 0PY, UK.
Chao SunDepartment of Ophthalmology, Zibo Central Hospital, Shandong, CN.ORCID 0009-0000-6406-4503
Dejia WenEye Institute and School of Optometry, Tianjin Medical University Eye Hospital, Tianjin, CN.ORCID 0000-0002-6714-3167
Jishan XiaoInstitute of Ophthalmology, University College London, London, UK.ORCID 0009-0006-6132-0923
Xiaorong LiEye Institute and School of Optometry, Tianjin Medical University Eye Hospital, Tianjin, CN.ORCID 0000-0003-0641-2797

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Cardiovascular diseases (CVDs) are the leading global cause of mortality and disability, with prevalence increasing due to aging and risk factors like obesity and hypertension. The retina, rich in microvasculature, provides a unique opportunity to investigate microvascular dysfunction linked to CVDs and other systemic vascular diseases. Method: This study used a multifaceted approach to assess the genetic correlation and causal relationship between retinal characteristics and CVDs. Linkage disequilibrium score regression (LDSC) and Mendelian randomization (MR) analyses were conducted using genome-wide association study (GWAS) data from the UK Biobank and FinnGen datasets. A cross-sectional study was also conducted to validate the findings, collecting optical coherence tomography (OCT) images from 124 eyes (89 with CVDs and 35 healthy controls). A prediction model is based on least absolute shrinkage and selection operator (LASSO) regression to assess the risk of CVD. Result: Using LDSC and two-sample MR, we found genetic evidence consistent with a causal effect whereby genetically proxied thinner retinal nerve fiber layer (RNFL) was associated with higher risks of hypertension and myocardial infarction (MI), while genetically proxied thicker photoreceptor inner segment/outer segment (PR-IS/OS) was associated with coronary heart disease and MI (false discovery rate [FDR] thresholds as reported). Genetically proxied thinner retinal pigment epithelium (RPE) showed an inverse association with stroke risk. Several circulating biomarkers-including lipoprotein(a) [Lp(a)], low-density lipoprotein cholesterol (LDL-C), and ApoB-exhibited MR evidence of association with multiple CVDs. In a cross-sectional cohort, retinal layer differences and their relationships with lipids were directionally consistent with the genetic findings. Conclusion: Retinal structural traits measured by OCT-particularly RNFL, PR-IS/OS, and RPE thickness-are best interpreted as non-invasive markers that reflect systemic vascular biology. Our MR analyses support shared etiologic pathways between retinal microstructure and CVDs rather than implying that retinal damage clinically causes cardiovascular events. Findings warrant validation in larger and more diverse populations and should not be considered definitive proof of causality.

Indexed as

Cardiovascular DiseasesMendelian Randomization AnalysisRetinaAgedCross-Sectional StudiesFemaleGenome-Wide Association StudyHumansMaleMiddle AgedRisk FactorsTomography, Optical Coherencebiomarkerscardiovascular diseasesgenetic correlationMendelian randomizationoptical coherence tomographyretinarisk prediction model

Identifiers

PMID41282433
PMCPMC12636282

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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.