Identification of key genes involved in myocardial infarction

Abstract

Background This study focuses on the identification of conserved genes involved in myocardial infarction (MI), and then analyzed the differentially expressed genes (DEGs) between the incident and recurrent events to identify MI-recurrent biomarkers. Methods Gene expression data of MI peripheral blood were downloaded from GSE97320 and GSE66360 datasets. We identified the common DEGs in these two datasets by functional enrichment analysis and protein–protein interaction (PPI) network analysis. GSE48060 was further analyzed to validate the conserved genes in MI and to compare the DEGs between the incident and recurrent MI. Results A total of 477 conserved genes were identified in the comparison between MI and control. Protein–protein interaction (PPI) network showed hub genes, such as MAPK14 , STAT3 , and MAPKAPK2 . Part of those conserved genes was validated in the analysis of GSE48060. The DEGs in the incident and recurrent MI showed significant differences, including RNASE2 and A2M - AS1 as the potential biomarkers of MI recurrence. Conclusions The conserved genes in the pathogenesis of MI were identified, benefit for target therapy. Meanwhile, some specific genes may be used as markers for the prediction of recurrent MI. Electronic supplementary material The online version of this article (10.1186/s40001-019-0381-x) contains supplementary material, which is available to authorized users.

Uncovering potential differentially expressed miRNAs and targeted mRNAs in myocardial infarction based on integrating analysis

“…it is worth mentioning that JdP2 was associated with diagnosis and prognosis. The expression of JdP2 was revealed to be increased in patients with heart failure and Mi (46,53). of note, JdP2 is considered to be a candidate marker for the risk stratification of patients who may develop heart failure following Mi (54).…”

“…naMPT is involved in atherosclerosis and myocardial failure (45). increased expression of naMPT has been found in Mi (46). in addition, FK866 (a specific inhibitor of NAMPT) reduced infarct size following Mi (47).…”

“…It has been reported that increased AQP9 is associated with the development of atherosclerotic lesions ( 60 ). It has been demonstrated that AQP9 is notably upregulated in patients with heart failure and MI ( 46 , 61 ). In addition, silencing of the AQP9 gene was revealed to inhibit apoptosis of myocardial cells and improve cardiac function following MI ( 62 ).…”

Predicting Diagnostic Gene Biomarkers Associated With Immune Infiltration in Patients With Acute Myocardial Infarction

“…In recent years, microarray technology, together with integrated bioinformatics analysis, has been performed to identify novel genes related to various diseases that might act as diagnostic and prognostic biological markers (10)(11)(12)(13)(14). For example, the expression of FFAR2, also known as GPR43, in AMI patients has been found to be notably lower than in the controls, and low levels of FFAR2 expression in peripheral blood was confirmed as an independent risk predictor for AMI, with an odds ratio of 6.308 (15).…”

NR4A3 and CCL20 Clusters Dominate the Dynamic Gene Network of Peripheral CD146+ Blood Cells in the Early Stage of Acute Myocardial Infarction in Human.

“…Acute myocardial injury (AMI) dataset GSE 66360 rests on the performance of CD146 + populations during the AMI early development (12,(27)(28)(29). In this paper, we try to decipher gene reassemble with the correlation network structure parameter analysis (30,31), and extract optimal genes collection, the differential connectivity genes (DCGs), and reveal functional gene clusters which likely leading the pathogenesis of peripheral CD146 + blood cells during the AMI development in human for the first time.…”