School of Medicine, Southeast University, Nanjing, PR China.
Department of Cardiology, Zhongda Hospital, Southeast University, Nanjing, PR China.
Biomed Pharmacother. 2020 Jan;121:109590. doi: 10.1016/j.biopha.2019.109590. Epub 2019 Nov 13.
In this study, we aimed to explore key genes as biomarker for diagnosis AMI through using Bioinformatics tools.
GSE4648 and GSE60993 were downloaded from Gene Expression Omnibus (GEO). DEGs in GSE4648 and GSE60993 were selected to run GO enrichment, KEGG pathway, and PPI network. Hub genes in DEGS of GSE4648 and GSE60993 were selected out according to Molecular Complex Detection (MCODE) and overlapping genes were further screened out. Finally, the most important gene of coincide genes was used for deeper clinical study of patients with AMI.
A total of 41 and 173 DEGs were screened out in GSE4648 and GSE60993 respectively. GO and KEGG analysis showed similar biological process, cellular Component and molecular function of these two group DEGs. PPI network of these two group DEGs were built and 19 key genes of GSE4648 were selected out according to MCODE, while 48 key genes of GSE60993 were selected out. Overlapping genes of these 19 and 48 genes included PLAUR, ARG1, FOS, and IL1R2, and fold change (FC) of ARG1 was the biggest. Therefore, ARG1 was detected in 46 controls and 115 AMI patients by ELISA, and ARG1 was significantly upregulated in AMI group. Pearson correlation analysis indicated ARG1 was positive correlated with gensini score (R = 0.378). ROC curve revealed that area under ROC curve (AUC) of ARG1 was 77.6%.
Therefore, ARG1 might play an important role in the development of AMI and could be used as biomarker of AMI.
本研究旨在通过生物信息学工具探索用于诊断 AMI 的关键基因作为生物标志物。
从基因表达综合数据库（GEO）中下载 GSE4648 和 GSE60993。选择 GSE4648 和 GSE60993 中的差异表达基因（DEGs）进行 GO 富集、KEGG 通路和 PPI 网络分析。根据分子复合物检测（MCODE）筛选出 GSE4648 和 GSE60993 的 DEGs 中的核心基因，并进一步筛选重叠基因。最后，使用重合基因中最重要的基因对 AMI 患者进行更深入的临床研究。
在 GSE4648 和 GSE60993 中分别筛选出 41 和 173 个 DEGs。GO 和 KEGG 分析表明这两组 DEGs 的生物学过程、细胞成分和分子功能相似。构建了这两组 DEGs 的 PPI 网络，根据 MCODE 筛选出 GSE4648 的 19 个关键基因，而 GSE60993 筛选出 48 个关键基因。这 19 个和 48 个基因的重叠基因包括 PLAUR、ARG1、FOS 和 IL1R2，ARG1 的 FC 最大。因此，通过 ELISA 检测 46 名对照和 115 名 AMI 患者中的 ARG1，结果表明 ARG1 在 AMI 组中显著上调。Pearson 相关性分析表明 ARG1 与 gensini 评分呈正相关（R=0.378）。ROC 曲线显示 ARG1 的 AUC 为 77.6%。
因此，ARG1 可能在 AMI 的发展中发挥重要作用，可作为 AMI 的生物标志物。
