Evidence map›Paper›PMID 41254735›Full record

ArticleJournal of translational medicine2025

HLA-A drives diabetic retinopathy pathogenesis: multi-omics integration reveals resveratrol's therapeutic potential via immunomodulation.

Jiaqiong Lin, Fangkeng Liang, Yanxia Liu, Zongrui Shen, Xiaoyong Li

Abstract read
In one paragraph

Article in Journal of translational medicine, 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. Review
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.

Jiaqiong LinDepartment of Laboratory Medicine, Zhujiang Hospital, Southern Medical University, Guangzhou, 510282, Guangdong, China.ORCID 0000-0002-7094-159X
Fangkeng LiangDepartment of Laboratory Medicine, Zhujiang Hospital, Southern Medical University, Guangzhou, 510282, Guangdong, China.
Yanxia LiuDepartment of Laboratory Medicine, Zhujiang Hospital, Southern Medical University, Guangzhou, 510282, Guangdong, China. yanxialiu2015@163.com.
Zongrui ShenGaozhou People's Hospital, Gaozhou, China. 15626450691@163.com.
Xiaoyong LiGeneral Surgery Department, Guangdong Provincial Key Laboratory of Major Obstetric Diseases; Guangdong Provincial Clinical Research Center for Obstetrics and Gynecology, The Third Affiliated Hospital, Guangzhou Medical University, Guangzhou, China. 969740437@qq.com.

Funding

National Natural Science Foundation of China 81902831Natural Science Foundation of Guangdong Province of China 2022A1515111203Natural Science Foundation of Guangdong Province of China 2024A1515013057
6 · The paper itself

Abstract

backgroundDiabetic retinopathy (DR) remains a leading cause of vision impairment worldwide, with limited therapeutic options and early detection methods. This study aims to identify novel biomarkers for DR to address the critical need for therapeutic targets.

methodsWe employed a multi-omics strategy combining scRNA-seq analysis of DR-related immune cell populations with bidirectional MR integrating quantitative trait loci (eQTL)/protein quantitative trait loci (pQTL) data to establish HLA-A's causal role in DR. Clinical validation utilized Chinese cohort peripheral blood samples (n = 81), complemented by molecular docking and cellular experiments testing resveratrol's modulation of HLA-A under metabolic stress conditions.

resultsBidirectional Mendelian randomization identified HLA-A as a causal risk factor for DR, with consistent evidence from both expression quantitative trait loci (eqtl: OR = 1.121, 95% CI [1.057, 1.19], p = 1.584 × 10

conclusionThis multi-omics study establishes HLA-A as a novel causal factor in DR pathogenesis and reveals resveratrol's potential therapeutic value through HLA-A modulation, providing new insights for targeted intervention strategies.

Indexed as

Diabetic RetinopathyHLA-A AntigensImmunomodulationResveratrolFemaleHumansMaleMiddle AgedMolecular Docking SimulationMultiomicsQuantitative Trait LociHLA-A AntigensResveratrolDiabetic retinopathyHLA-AMendelian randomizationMulti-omics integrationResveratrol

Identifiers

PMID41254735
PMCPMC12625036

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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.