2Department of Cardiac Surgery, The Second Affiliated Hospital of Harbin Medical University, China
Abstract
Background: This study aimed to identify the biomarkers related to myocardial infarction based on building lncRNA–miRNA–mRNA ceRNA regulation network.
Materials and Methods: The expression profile data were obtained from the Gene Expression Omnibus database. The differentially expressed RNAs (DElncRNAs, DEmiRNAs, and DEmRNAs) were analyzed using the limma package of R. In addition, the differential myocardial infarction-related genes were obtained and the Gene Ontology and Kyoto Encyclopedia of Genes and Genomes pathway on the differential myocardial infarction-related genes were analyzed. The co-expression network of lncRNA–mRNA was constructed, and the Kyoto Encyclopedia of Genes and Genomes pathway of such a co-expression network was analyzed. Moreover, the lncRNA–miRNA–mRNA ceRNA network associated with myocardial infarction 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 myocardial infarction-related genes. Moreover, the co-expression network of lncRNA–mRNA was built, and mRNAs were found to be associated with 109 Kyoto Encyclopedia of Genes and Genomes pathways (the target gene of RP3-394A18.1 was significantly related to lipid and atherosclerosis). In addition, the ceRNA network related to myocardial infarction was constructed, and the dataset analyses of the RNAs were validated between the myocardial infarction and normal groups. It was also found that the expression levels of hsa-miR-1291 and Retinoid acid receptor-related orphan
receptor α (RORA) in the myocardial infarction group were noticeably lower than those in the normal group, whereas the expression levels of ENTPD1, QSOX1, and TIMP2 in the myocardial infarction group were noticeably higher than those in the normal group.
Conclusion: In this study, we built a ceRNA regulation network of myocardial infarction. This study could help identify the biomarkers related to myocardial infarction.