Department of Cardiology Ward 1, The First Affiliated Hospital of Guangxi, Medical University, Guangxi, Nanning, China (mainland).
Department of Geriatric Endocrinology, The First Affiliated Hospital of Guangxi, Medical University, Guangxi, Nanning, China (mainland).
Med Sci Monit. 2020 Jun 28;26:e922492. doi: 10.12659/MSM.922492.
BACKGROUND With the increasing research on non-alcoholic fatty liver (NAFLD) and acute myocardial infarction (AMI), many evidences show a tight correlation between NAFLD and AMI, however the underlying pathophysiology is still not clear. This study was to identify the potential hub genes and pathways related to these two diseases via bioinformatic method. MATERIAL AND METHODS Gene Expression Omnibus (GEO) dataset GSE63067 of NAFLD patients and normal controls was downloaded from GEO database. The GSE60993 and GSE66360 datasets for AMI patients and healthy controls were also obtained. Differential expression genes (DEGs) of NAFLD and AMI datasets, accompanied with common genes between them were achieved. Further GO and KEGG enrichment analysis for common genes were performed. RESULTS To obtain the pathogenesis associated with both NAFLD and AMI, protein-protein interaction (PPI) network was constructed and the top ten hub genes (TLR2, LILRB2, CXCL1, FPR1, TLR4, TYROBP, MMP9, FCER1G, CLEC4D and CCR2) were selected with CONCLUSIONS The results of this study suggesting some novel genes may play an important role in the occurrence and progression NAFLD and AMI. But more experimental researches and clinical trials need to verify.
随着非酒精性脂肪肝 (NAFLD) 和急性心肌梗死 (AMI) 的研究不断增加,许多证据表明 NAFLD 和 AMI 之间存在紧密关联,但潜在的病理生理学机制尚不清楚。本研究通过生物信息学方法,旨在确定与这两种疾病相关的潜在关键基因和途径。
从 GEO 数据库中下载 NAFLD 患者和正常对照的基因表达综合数据集 GSE63067。还获得了 AMI 患者和健康对照的 GSE60993 和 GSE66360 数据集。获得 NAFLD 和 AMI 数据集的差异表达基因 (DEGs),并获得它们之间的共同基因。进一步对共同基因进行 GO 和 KEGG 富集分析。
为了获得与 NAFLD 和 AMI 相关的发病机制,构建了蛋白质-蛋白质相互作用 (PPI) 网络,并选择了前十个关键基因 (TLR2、LILRB2、CXCL1、FPR1、TLR4、TYROBP、MMP9、FCER1G、CLEC4D 和 CCR2)。
本研究结果表明,一些新基因可能在 NAFLD 和 AMI 的发生和发展中发挥重要作用。但需要更多的实验研究和临床试验来验证。