Screening of Biomarkers Related to Myocardial Infarction Based on the Construction of a ceRNA Regulation Network

Background: This study aimed to identify the biomarkers related to myocardial infarction (MI) based on building lncRNA–miRNA–mRNA ceRNA regulation network.

Method: The expression profile data were obtained from the Gene Expression Omnibus (GEO) database. The differentially expressed RNAs (DElncRNAs, DEmiRNAs, and DEmRNAs) (DERs) were analyzed using the limma package of R. In addition, the differential MI-related genes were obtained and the Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway on the differential MI-related genes analyzed. The co-expression network of lncRNA–mRNA was constructed, and the KEGG pathway of such a co-expression network was analyzed. Moreover, the lncRNA–miRNA–mRNA ceRNA network associated with MI was built, and the key biomarkers of the ceRNA network were verified using the GSE141512 and GSE66752 datasets.

Results: In total, we acquired 51 DElncRNAs, 276 DEmiRNAs, and 1200 DEmRNAs as well as 291 differential MI-related genes. Moreover, the co-expression network of lncRNA–mRNA was built, and mRNAs were found to be associated with 109 KEGG pathways (the target gene of RP3-394A18.1 was significantly related to lipid and atherosclerosis). In addition, the ceRNA network related to MI was constructed, and the dataset analyses of the RNAs were validated between the MI and normal groups. It was also found that the expression levels of hsa-miR-1291 and RORA in the MI group were noticeably lower than those in the normal group, whereas the expression levels of ENTPD1, QSOX1, and TIMP2 in the MI group were noticeably higher than those in the normal group.

Conclusion: In this study, we built a ceRNA regulation network of MI. This study could help identify the biomarkers related to MI.