<HashMap><database>biostudies-literature</database><scores/><additional><omics_type>Unknown</omics_type><volume>15(1)</volume><submitter>Zhou X</submitter><pubmed_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 wer</pubmed_abstract><journal>Scientific reports</journal><pagination>17055</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC12084532</full_dataset_link><repository>biostudies-literature</repository><pubmed_title>The working mechanism of biomarkers related to sumoylation modification in coronary artery disease.</pubmed_title><pmcid>PMC12084532</pmcid><pubmed_authors>Xiang B</pubmed_authors><pubmed_authors>Luo F</pubmed_authors><pubmed_authors>Li K</pubmed_authors><pubmed_authors>Zhou X</pubmed_authors></additional><is_claimable>false</is_claimable><name>The working mechanism of biomarkers related to sumoylation modification in coronary artery disease.</name><description>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 wer</description><dates><release>2025-01-01T00:00:00Z</release><publication>2025 May</publication><modification>2026-06-02T20:54:09.305Z</modification><creation>2026-05-28T03:06:26.296Z</creation></dates><accession>S-EPMC12084532</accession><cross_references><pubmed>40379803</pubmed><doi>10.1038/s41598-025-02099-4</doi></cross_references></HashMap>