Department of Respiratory and Critical Care Medicine, the 2nd Hospital of Jilin University, 130041 Changchun, Jilin, China.
Department of Prescriptions, Pathology and Pathophysiology, Changchun University of Chinese Medicine, 130117 Changchun, Jilin, China.
Rev Cardiovasc Med. 2021 Sep 24;22(3):947-958. doi: 10.31083/j.rcm2203103.
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., and ). The PPI network contained 212 genes, and , , , and 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 (, , , , and ) were predicted to target 112 DEGs. reportedly targets both and in the TF-miRNA target regulatory network. The abnormal expression of , , , and may be implicated in CAD pathogenesis. Our study provides targets and potential regulators for investigating CAD pathogenesis.
冠状动脉疾病(CAD)是全球最常见的心血管疾病。在这项研究中,我们研究了 CAD 的发病机制。我们从基因表达综合数据库(GEO)下载了 GSE98583 数据集,包括 12 个 CAD 样本和 6 个正常样本,并筛选了 CAD 与正常样本之间差异表达的基因(DEGs)。接下来,我们进行了功能富集分析、蛋白质-蛋白质相互作用(PPI)网络和功能模块分析,以探索鉴定的 DEGs 的潜在功能和调节功能。接下来,预测了针对 DEGs 的转录因子(TFs)和 microRNAs(miRNAs)。总共在 CAD 和正常样本中鉴定出 456 个 DEGs,包括 175 个上调基因和 281 个下调基因。这些基因富集在免疫球蛋白 A 产生的肠道免疫网络和丝裂原活化蛋白激酶信号通路中(例如,和)。PPI 网络包含 212 个基因,和、、、和是度大于 10 的枢纽基因。从 PPI 网络中鉴定出 4 个显著模块,模块中的基因主要富集在炎症反应、涉及泛素依赖性蛋白分解代谢过程的蛋白泛素化、蛋白转运和线粒体翻译伸长中。预测了两个 TF(E2F1 和 FOXK1)和五个 miRNA(、、、、和)来靶向 112 个 DEGs。报道称,在 TF-miRNA 靶标调控网络中,既靶向和,又靶向。、、、和的异常表达可能与 CAD 的发病机制有关。我们的研究为研究 CAD 的发病机制提供了靶点和潜在的调节剂。