Announcing a new article publication for Cardiovascular Innovations and Applications journal. This study was aimed at exploring immune-related genes and their expression changes in myocardial infarction (MI) through comprehensive bioinformatics methods and validating these genes as potential diagnostic and therapeutic targets.
Gene expression data were analyzed from three datasets: GSE29111 and GSE66360, which were combined as a training set, and GSE48060, which served as the validation set. We performed differential gene expression analysis, GO/KEGG enrichment analysis, protein-protein interaction (PPI) network analysis, weighted gene co-expression network analysis (WGCNA), gene set enrichment analysis, and immune infiltration studies to identify core immune-related genes associated with MI. The…