Identification of biomarkers associated with phagocytosis regulatory factors in coronary artery disease using machine learning and network analysis.

ABSTRACT:

Background

Coronary artery disease (CAD) is the leading cause of death worldwide, and aberrant phagocytosis may be involved in its development. Understanding this aspect may provide new avenues for prompt CAD diagnosis.

Methods

CAD-related information was obtained from Gene Expression Omnibus datasets GSE66360, GSE113079, and GSE59421. We identified 995 upregulated and 1086 downregulated differentially expressed genes (DEGs) in GSE66360. Weighted gene co-expression network analysis revealed a module of 503 genes relevant to CAD. Using clusterProfiler, we revealed 32 CAD-related PRFs. Eight candidate genes were identified in a protein-protein interaction network. Machine learning algorithms identified CAD biomarkers that underwent gene set enrichment analysis, immune cell ana

SUBMITTER: Jia R 

PROVIDER: S-EPMC12130075 | biostudies-literature | 2025 Jun

REPOSITORIES: biostudies-literature