Early diagnosis of acute myocardial infarction via hub genes identified by integrated weighted gene co-expression network analysis.

ABSTRACT:

Background

Acute myocardial infarction (AMI) is a leading cause of morbidity and mortality worldwide. Circulating endothelial cells (CECs) have been reported to be involved with the early stages of AMI. The specific objective of our study was to discover early diagnostic markers of CECs in circulation using bioinformatics analysis.

Methods

Raw microarray data of the GSE66360 dataset were acquired from the Gene Expression Omnibus (GEO) database. The R software was used to filtrate differentially expressed genes (DEGs) from the discovery cohort of GSE66360 (n = 43). A weighted gene co-expression network analysis (WGCNA) was performed to explore the key modules connected with AMI. Next, main roles of the pathological states in AMI were analyzed using GO and KEGG and PPI

SUBMITTER: Huang K 

PROVIDER: S-EPMC12197887 | biostudies-literature | 2025 Aug

REPOSITORIES: biostudies-literature