Evidence map›Paper›PMID 41415292›Full record

ArticleFrontiers in immunology2025

Causal inference of CLEC5A and ISG20 in atherosclerosis: integrating Mendelian randomization and eQTL evidence.

Ya Zhang, Qian Tian, Yuan Zhu, Tianhui Wang, Yongchao Yu, Lan Wang, Lijuan Shao, Xiangang Mo

Abstract read
In one paragraph

Article in Frontiers in immunology, 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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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

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3 · Its place in the literature

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0 citing papers in PubMed.

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4 · The record

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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

8 authors.

Ya Zhang *Comprehensive Ward, The Affiliated Hospital of Guizhou Medical University, Guiyang, China.
Qian Tian *Department of Geriatrics, The Affiliated Jinyang Hospital of Guizhou Medical University, Guiyang, China.
Yuan ZhuComprehensive Ward, The Affiliated Hospital of Guizhou Medical University, Guiyang, China.
Tianhui WangComprehensive Ward, The Affiliated Hospital of Guizhou Medical University, Guiyang, China.
Yongchao YuComprehensive Ward, The Affiliated Hospital of Guizhou Medical University, Guiyang, China.
Lan WangComprehensive Ward, The Affiliated Hospital of Guizhou Medical University, Guiyang, China.
Lijuan ShaoComprehensive Ward, The Affiliated Hospital of Guizhou Medical University, Guiyang, China.
Xiangang MoComprehensive Ward, The Affiliated Hospital of Guizhou Medical University, Guiyang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Atherosclerosis (AS) is a vascular disorder characterized by lipid accumulation and chronic inflammation, with pathogenesis closely linked to genetic factors and immune regulatory mechanisms. Methods: This study comprehensively identified ASassociated genes by integrating data from the Gene Expression Omnibus (GEO) database and expression quantitative trait locus (eQTL) analyses, complemented by Mendelian randomization (MR) analysis, followed by experimental validation of their functional roles. Results: Results indicated significant upregulation of CLEC5A and ISG20 in patients with AS, with MR analysis revealing positive causal relationships between both genes and AS risk (CLEC5A: OR = 1.001, P = 0.047; ISG20: OR = 1.001, P = 0.030), while HOXA2 showed a negative causal association. Functional enrichment analysis highlighted CLEC5A and ISG20's involvement in immune responses, inflammatory pathways, and lipid metabolism regulation. Experimental validation in oxidized low-density lipoprotein (ox-LDL)-stimulated macrophages and apolipoprotein E-deficient (ApoE Discussion: This study represents the first to elucidate the molecular mechanism by which ISG20 promotes AS progression through macrophage lipid accumulation and inflammatory responses, positioning it as a potential novel therapeutic target for AS.

Indexed as

AtherosclerosisLectins, C-TypeQuantitative Trait LociReceptors, Cell SurfaceAnimalsDisease Models, AnimalGenetic Predisposition to DiseaseHumansMacrophagesMendelian Randomization AnalysisMicePolymorphism, Single NucleotideCLEC5A protein, humanLectins, C-TypeReceptors, Cell SurfaceatherosclerosisCLEC5Aexpression quantitative trait locus (eQTL) analysisISG20macrophagesMendelian randomization

Identifiers

PMID41415292
PMCPMC12708247

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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.