Screening for the Biomarkers Associated with Myocardial Infarction by Bioinformatics Analysis

We aimed to find novel biomarkers associated with myocardial infarction (MI). The array data of GSE62646 were downloaded from the Gene Expression Omnibus database. The differentially expressed genes (DEGs) were analyzed with limma package. Functional enrichment analyses were performed by DAVID v6.7 online tool. The micro-RNA-messenger RNA (miRNA-mRNA) pairs were predicted by miRWalk database, and the protein-mRNA interactions were predicted by StarBase. Then, miRNA-mRNA-protein regulatory network was constructed. Antigen processing and presentation were only the pathway enriched by DEG1 set such as KLRC4 (killer cell lectin-like receptor subfamily C, member 4) and KLRC2 (killer cell lectin-like receptor subfamily C, member 2). KLRC4 and KLRC2 were differentially expressed in MI patients. DLC1 (DLC1 Rho GTPase activating protein, degree = 179) was the most significant node in miRNA-mRNA-protein network. EIF4AIII (eukaryotic translation initiation factor 4A3) and FUS (FUS RNA binding protein) were the key proteins that regulated the most DEGs. KLRC4, KLRC2, and DLC1 were the biomarkers and may play important roles in the progression of MI. Furthermore, EIF4AIII and FUS may also be involved in MI progression.