Evidence map›Paper›PMID 40379803›Full record

ArticleScientific reports2025

The working mechanism of biomarkers related to sumoylation modification in coronary artery disease.

Xiaowei Zhou, Fanyan Luo, Bitao Xiang, Kaixuan Li

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In one paragraph

Article in Scientific reports, 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

4 authors.

Xiaowei ZhouDepartment of Cardiovascular Surgery, Xiangya Hospital, Central South University, 87 Xiangya Road, Changsha, 410008, Hunan, China.
Fanyan LuoDepartment of Cardiovascular Surgery, Xiangya Hospital, Central South University, 87 Xiangya Road, Changsha, 410008, Hunan, China.
Bitao XiangDepartment of Cardiovascular Surgery, Xiangya Hospital, Central South University, 87 Xiangya Road, Changsha, 410008, Hunan, China. Bitao_Xiang@csu.edu.cn.
Kaixuan LiDepartment of Cardiovascular Surgery, Xiangya Hospital, Central South University, 87 Xiangya Road, Changsha, 410008, Hunan, China. lkxxgz@csu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Coronary artery disease (CAD) remains a leading global cause of mortality. The expression of small ubiquitin-like modifier 1 (SUMO-1) is reduced in heart failure. However, the mechanisms underlying its modification in CAD remain underexplored. This study sought to identify SUMOylation-related biomarkers and elucidate the potential mechanisms in CAD pathogenesis. This study analyzed three CAD datasets (GSE42148, GSE23561, and GSE121893) alongside 187 SUMOylation-related genes (SRGs). The overlap between differentially expressed genes (DEGs) and SRGs was used to identify differentially expressed SUMOylation-related genes (DE-SRGs). Biomarkers were validated through expression profiling and receiver operating characteristic (ROC) curve analysis. Enrichment and immune infiltration analyses were performed to explore the molecular mechanisms by which these biomarkers influence CAD. A drug-gene interaction network was constructed using the Drug-Gene Interaction database (DGIdb). Single-cell analysis was conducted to identify key cellular players and validate the differential expression of biomarkers across cell types. A total of 12 DE-SRGs were identified in CAD. Among them, SUMO1 and PPARG were validated as biomarkers, with their expression significantly elevated in the CAD group compared to the control group. Single-sample gene set enrichment analysis (ssGSEA) revealed distinct immune cell distributions in CAD, with central memory CD4

Indexed as

BiomarkersCoronary Artery DiseaseSUMO-1 ProteinSumoylationGene Expression ProfilingGene Regulatory NetworksHumansPPAR gammaBiomarkersPPAR gammaSUMO-1 ProteinSUMO1 protein, humanBiomarkersCoronary artery diseasePredictive drugSingle-cell analysisSmall ubiquitin-related modifier-related genes

Identifiers

PMID40379803
PMCPMC12084532

What Socratic holds

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LicenceCC BY-NC-ND
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Registered trials

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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 Socratic graph.