Integrated Multichip Analysis and WGCNA Identify Potential Diagnostic Markers in the Pathogenesis of ST‐Elevation Myocardial Infarction

Abstract

Background. ST-elevation myocardial infarction (STEMI) is a myocardial infarction (MI) with ST-segment exaltation of electrocardiogram (ECG) caused by vascular occlusion of the epicardium. However, the diagnostic markers of STEMI remain little. Methods. STEMI raw microarray data are acquired from the Gene Expression Omnibus (GEO) database. Based on GSE60993 and GSE61144, differentially expressed genes (DEGs) are verified via R software, and key modules associated with pathological state of STEMI are verified by weighted correlation network analysis (WGCNA). Take the intersection gene of key module and DEGs to perform the pathway enrichment analyses by Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG). Construct the protein-protein interaction (PPI) network by Cytoscape. Then, select and identify the diagnostic biomarkers of STEMI by least absolute shrinkage and selection operator (LASSO) logistic regression and support vector machine-recursive feature elimination (SVM-RFE) algorithms. Finally, assess the infiltration of immune cells of STEMI by CIBERSORT and analyze the correlation between diagnostic markers and infiltrating immune cells. Results. We get 710 DEGs in the STEMI group and 376 genes associated with STEMI in blue module. 92 intersection genes were concentrated in 30 GO terms and 2 KEGG pathways. 28 hub genes involved in the development of STEMI. Moreover, upregulated ALOX5AP (AUC = 1.00) and BST1 (AUC = 1.00) are confirmed as diagnostic markers of STEMI. CD8+T cells, regulatory T (Treg) cells, resting natural killer (NK) cells, M0 macrophages, resting mast cells, and neutrophils are related to the procession of STEMI. Moreover, ALOX5AP and BST1 are positively related to resting NK cells, M0 macrophages, and neutrophils, while ALOX5AP and BST1 are negatively related to CD8+ T cells, Treg cells, and resting mast cells. Conclusion. ALOX5AP and BST1 may be the diagnostic markers of STEMI. Immune cell infiltration plays a key role in the development of STEMI.

Differential gene expression patterns in ST-elevation Myocardial Infarction and Non-ST-elevation Myocardial Infarction

“…Therefore, the research on NSTEMI/STEMI-related genes may improve the diagnosis and treatment strategies. Liang et al reported the differentially expressed genes (DEGs) for STEMI by analyzing two datasets (GSE60993, and GSE61144), and focused on immune cell infiltration 28 . However, these datasets were originally analyzed and recorded by Park et al in the GEO database 16 .…”

Bioinformatics analysis to obtain critical genes regulated in subcutaneous adipose tissue after bariatric surgery

“…The emergence of high-throughput omics data and the development of bioinformatics have revealed a large number of potential biomarkers and patterns. Liang obtained transcriptomic datasets of ST-elevation myocardial infarction from public databases, validated key modules related to STEMI pathological status by weighted gene co-expression network analysis (WGCNA), and identified and analysed the diagnostic markers ALOX5AP and BST1 by LASSO and SVM-RFE algorithms [ 22 ]. Moreover, ARG2, MAP4K5 and TSTA3 were identified as diagnostic markers of SONFH by support vector machine-recursive feature elimination (SVM-RFE), WGCNA, last absolute shrinkage and selection operator (LASSO) logistic regression and random forest (RF) algorithms, and further validated by qRT-PCR [ 23 ].…”