Study on the relationship between oxidative stress gene and sepsis-induced cardiomyopathy (SIC) based on ceRNA network

Abstract Sepsis-induced cardiomyopathy (SIC) is a kind of cardiac dysfunction caused by severe sepsis, which increases the risk of heart failure and death. The molecular mechanism of its pathogenesis is still unclear. It is reported that oxidative stress is one of the main pathophysiological manifestations of SIC, suggesting that oxidative stress genes may be involved in the pathogenesis of myocardial injury in SIC. Therefore, we discussed the relationship between oxidative stress gene and the pathogenesis of SIC, in order to provide reference for clinical diagnosis or treatment of SIC. Through bioinformatics analysis, we mined the transcriptome sequencing data and expression profile chip data of SIC samples, screened out the differentially expressed long noncoding RNA (lncRNA), miRNA and mRNA, constructed a lncRNA- mRNA- miRNA ceRNA regulatory network, obtained 60 differentially expressed mRNAs (DEmRNAs) from the ceRNA network, and constructed a random forest classifier to verify its reliability as marker genes of SIC. Further exploration showed that five oxidative stress genes appeared in 60 DEmRNA gene sets, namely Ybx3, Ptpn2, Stk11, Tfdp2 and Mafk, which were also significant in identifying SIC and control samples. At the same time, all kinds of human heart tissue samples with myocardial injury can be significantly clustered and separated by the expression levels of five genes. GO/KEGG enrichment analysis showed that these five genes were mainly involved in myocardial injury through oxidative stress-related inflammatory reactions, suggested that these five oxidative stress genes are potential markers for diagnosis or treatment of SIC on the basis of further experimental verification.