title: Network Analysis-Based Approach for Exploring the Potential Diagnostic Biomarkers of Acute Myocardial Infarction.
abstract: Acute myocardial infarction (AMI) is a severe cardiovascular disease that is a serious threat to human life. However, the specific diagnostic biomarkers have not been fully clarified and candidate regulatory targets for AMI have not been identified. In order to explore the potential diagnostic biomarkers and possible regulatory targets of AMI, we used a network analysis-based approach to analyze microarray expression profiling of peripheral blood in patients with AMI. The significant differentially-expressed genes (DEGs) were screened by Limma and constructed a gene function regulatory network (GO-Tree) to obtain the inherent affiliation of significant function terms. The pathway action network was constructed, and the signal transfer relationship between pathway terms was mined in order to investigate the impact of core pathway terms in AMI. Subsequently, constructed the transcription regulatory network of DEGs. Weighted gene co-expression network analysis (WGCNA) was employed to identify significantly altered gene modules and hub genes in two groups. Subsequently, the transcription regulation network of DEGs was constructed. We found that specific gene modules may provide a better insight into the potential diagnostic biomarkers of AMI. Our findings revealed and verified thatNCF4, AQP9, NFIL3, DYSF, GZMA, TBX21, PRF1andPTGDRgenes by RT-qPCR.TBX21andPRF1may be potential candidates for diagnostic biomarker and possible regulatory targets in AMI.
authors.affiliation: Department of Pharmacology, College of Basic Medical Sciences, Jilin University Changchun, China.
authors.forename: Jiaqi
authors.initials: J
authors.lastname: Chen
authors.affiliation: Department of Pharmacy, The Second Hospital of Jilin University Changchun, China.
authors.forename: Ling
authors.initials: L
authors.lastname: Yu
authors.affiliation: Department of Pharmacology, College of Basic Medical Sciences, Jilin University Changchun, China.
authors.forename: Siwei
authors.initials: S
authors.lastname: Zhang
authors.affiliation: Department of Pharmacology, College of Basic Medical Sciences, Jilin University Changchun, China.
authors.forename: Xia
authors.initials: X
authors.lastname: Chen
keywords: acute myocardial infarction; biomarkers; hub genes; inflammation; systems biology