Screening and bioinformatics analysis of key biomarkers in acute myocardial infarction

被引:3
作者
Wei, Dongmei [1 ]
Li, Rui [2 ]
Si, Tao [2 ]
He, Hankang [1 ]
Wu, Wei [2 ]
机构
[1] Liuzhou Tradit Chinese Med Hosp, Dept Cardiovasol, Liuzhou 545001, Guangxi Provinc, Peoples R China
[2] Guangzhou Univ Chinese Med, Guangzhou 510405, Guangdong, Peoples R China
关键词
acute myocardial infarction; bioinformatics; GEO database; EXTRACELLULAR VESICLES; CARDIOVASCULAR-DISEASE; INFLAMMATORY RESPONSE; GENE-EXPRESSION; C5A RECEPTORS; EVENTS; RISK; IL-1; NLRP3-INFLAMMASOME; REPERFUSION;
D O I
10.1515/pteridines-2020-0031
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
Acute myocardial infarction (AMI) is the most severe manifestation of coronary artery disease. Consider-able efforts have been made to elucidate its etiology and pathology, but the genetic factors that play a decisive role in the occurrence of AMI are still unclear. To determine the molecular mechanism of the occurrence and develop-ment of AMI, four microarray datasets, namely, GSE29111, GSE48060, GSE66360, and GSE97320, were downloaded from the Gene Expression Omnibus (GEO) database. We analyzed the four GEO datasets to obtain the differential expression genes (DEGs) of patients with AMI and patients with non-AMI and then performed gene ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG) enrich-ment analysis, and Protein-protein interaction (PPI) network analysis. A total of 41 DEGs were identified, including 39 upregulated genes and 2 downregulated genes. The enriched functions and pathways of the DEGs included the inflamma-tory response, neutrophil chemotaxis, immune response, extracellular space, positive regulation of nuclear factor kappa-light-chain-enhancer of activated B cells (NF-Kappa B) transcription factor activity, response to lipopolysaccharide, receptor for advanced glycation end products (RAGE) receptor binding, innate immune response, defense response to bacterium, and receptor activity. The cytoHubba plug-in in Cytoscape was used to select the most significant hub gene from the PPI network. Ten hub genes were identified, and GO enrichment analysis revealed that these genes were mainly enriched in inflammatory response, neutro-phil chemotaxis, immune response, RAGE receptor binding, and extracellular region. In conclusion, this study inte-grated four datasets and used bioinformatics methods to analyze the gene chips of AMI samples and control samples and identified DEGs that may be involved in the occur-rence and development of AMI. The study provides reliable molecular biomarkers for AMI screening, diagnosis, and prognosis.
引用
收藏
页码:79 / 92
页数:14
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