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Abnormal expression of , , , and is involved in the pathogenesis of coronary artery disease.

Authors :
Yanwei Du
Yanan Hu
Naiyan Wen
Shuang Fu
Guorong Zhang
Li Li
Tiantian Liu
Xuejiao Lv
Wenfeng Zhang
Du, Yanwei
Hu, Yanan
Wen, Naiyan
Fu, Shuang
Zhang, Guorong
Li, Li
Liu, Tiantian
Lv, Xuejiao
Zhang, Wenfeng
Source :
Reviews in Cardiovascular Medicine; Sep2021, Vol. 22 Issue 3, p947-958, 12p
Publication Year :
2021

Abstract

Coronary artery disease (CAD) is the most common cardiovascular disease worldwide. In this study, we investigated the pathogenesis of CAD. We downloaded the GSE98583 dataset, including 12 CAD samples and 6 normal samples, from the Gene Expression Omnibus (GEO) database and screened differentially expressed genes (DEGs) in CAD versus normal samples. Next, we performed functional enrichment analysis, protein-protein interaction (PPI) network, and functional module analyses to explore potential functions and regulatory functions of identified DEGs. Next, transcription factors (TFs) and microRNAs (miRNAs) targeting DEGs were predicted. In total, 456 DEGs were identified in CAD and normal samples, including 175 upregulated and 281 downregulated genes. These genes were enriched in the intestinal immune network for immunoglobulin A production and the mitogen-activated protein kinase signaling pathway (e.g., TGFBR2 and EGF). The PPI network contained 212 genes, and HIST1H2BJ, HIST1H2AC, EGF, and EP300 were hub genes with degrees higher than 10. Four significant modules were identified from the PPI network, with genes in the modules mainly enriched in the inflammatory response, protein ubiquitination involved in ubiquitin-dependent protein catabolic processes, protein transport, and mitochondrial translational elongation, respectively. Two TFs (E2F1 and FOXK1) and five miRNAs (miR-122A, miR-516-5P, miR-507, miR-342, and miR-520F) were predicted to target 112 DEGs. miR-122A reportedly targets both LRP10 and IQGAP1 in the TF-miRNA target regulatory network. The abnormal expression of TGFBR2, EGF, LRP10, and IQGAP1 may be implicated in CAD pathogenesis. Our study provides targets and potential regulators for investigating CAD pathogenesis. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
15306550
Volume :
22
Issue :
3
Database :
Complementary Index
Journal :
Reviews in Cardiovascular Medicine
Publication Type :
Academic Journal
Accession number :
152748921
Full Text :
https://doi.org/10.31083/j.rcm2203103