Identification and validation of senescence-related genes in circulating endothelial cells of patients with acute myocardial infarction

• DOI: 10.3389/fcvm.2022.1057985
• Publication Date: 2022-12-13T06:05:07Z
• Authors: Jie Xiang; Jun Shen; Ling Zhang; Baopeng Tang
• Keywords: KEGG; Senescence

Acute myocardial infarction (AMI) is the main clinical cause of death and cardiovascular disease thus has high rates morbidity mortality. The increase in with aging partly result vascular endothelial cell senescence associated dysfunction. This study was performed to identify potential key cellular senescence-related genes (SRGs) as biomarkers for diagnosis AMI using bioinformatics.Using CellAge database, we identified SRGs. GSE66360 GSE48060 patients healthy controls GSE19322 mice were downloaded from Gene Expression Omnibus (GEO) database. dataset divided into a training set validation set. used another explore evolution screened diagnostic markers dynamic process AMI. Differentially expressed (DEGs) (DESRGs) selected SRGs DEGs analyzed Ontology (GO) enrichment, Kyoto Encyclopedia Genes Genomes (KEGG) pathways, protein-protein interaction (PPI) networks. Hub DESRGs based on degree, further by gene expression receiver operating characteristic (ROC) curve. Finally, miRNA-gene network constructed targeted drug prediction performed.A total 520 set, 279 overlapping constituted 14 DESRGs, including 4 suppressor 10 inducible genes. top hub genes, FOS, MMP9, CEBPB, CDKN1A, CXCL1, ETS2, BCL6, SGK1, ZFP36, IGFBP3, screened. Furthermore, three identified: BCL6. ROC analysis showed that respective area under curves (AUCs) BCL6 0.786, 0.848, 0.852 0.708, 0.791, 0.727 dataset. In dataset, MMP9 (AUC, 0.888) ETS2 0.929) had very values early stage these found drugs such acetylcysteine genistein may be treatment age-related AMI.The results this suggest might play an important role have specific