The working mechanism of biomarkers related to sumoylation modification in coronary artery disease DOI Creative Commons
Xiaowei Zhou, Fanyan Luo, Bitao Xiang

и другие.

Scientific Reports, Год журнала: 2025, Номер 15(1)

Опубликована: Май 16, 2025

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

Язык: Английский

The working mechanism of biomarkers related to sumoylation modification in coronary artery disease DOI Creative Commons
Xiaowei Zhou, Fanyan Luo, Bitao Xiang

и другие.

Scientific Reports, Год журнала: 2025, Номер 15(1)

Опубликована: Май 16, 2025

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

Язык: Английский

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