Ma Mengyao, Xie Wenhua, Li Xi
Department of Laboratory Medicine, Biology Science Institutes, Chongqing Medical University, Chongqing, 400032, People's Republic of China.
Int J Gen Med. 2021 Jul 5;14:3163-3176. doi: 10.2147/IJGM.S317785. eCollection 2021.
Non-alcoholic fatty liver disease (NAFLD) is the most common cause of chronic liver disease worldwide. Autophagy plays a vital role in NAFLD development and progression. We aimed to establish a novel autophagy-related gene (ARG) signature as a therapeutic target in NAFLD patients based on high-throughput sequencing data.
ARGs obtained from the HAMdb and high-sequencing data obtained from the Gene Expression Omnibus (GEO) database were analyzed to identify differentially expressed ARGs (DEARGs) between normal and NASH tissues. Then, gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis were performed to explore potential biological and pathological functions of DEARGs. The protein-protein interaction (PPI) network of the DEARGs was established through the STRING website, and visualized by Cytoscape. In addition, hub genes were validated by an independent dataset GSE89632. Finally, we performed Gene Set Variation Analysis (GSVA) pathway-related analysis to identify the pivotal signaling pathways and genes for the progression of non-alcoholic fatty liver (NAFL) to non-alcoholic steatohepatitis (NASH).
A total of 76 DEARGs were identified in the GSE126848 dataset, of which 45 genes were upregulated and 31 genes were downregulated. GO analysis showed that the biological functions of DEARGs focused primarily on autophagy, cellular response to external stimulus, fibroblast proliferation, late endosome, and ubiquitin protein ligase binding. KEGG pathway analysis showed that these DEARGs were mainly involved in the apoptosis, PI3K-Akt signaling pathway, and estrogen signaling pathway. Among DEGs, 9 most closely related genes were identified from the PPI network. Furthermore, NOS3, IGF1, VAMP8, FOS, and HMOX1 were verified in the GSE89632 dataset. At last, the MAPK signal pathway was identified as important pathway, and JUN was identified as a key gene involved in the progression from NAFL to NASH.
This study may provide credible molecular biomarkers in terms of screening and diagnosis for NAFLD. Meanwhile, it also serves as a basis for exploring the molecular mechanisms underlying the progression of NAFL to NASH.
非酒精性脂肪性肝病(NAFLD)是全球慢性肝病最常见的病因。自噬在NAFLD的发生和发展中起着至关重要的作用。我们旨在基于高通量测序数据建立一种新的自噬相关基因(ARG)特征,作为NAFLD患者的治疗靶点。
分析从HAMdb获得的ARG和从基因表达综合数据库(GEO)获得的高通量测序数据,以鉴定正常组织和非酒精性脂肪性肝炎(NASH)组织之间差异表达的ARG(DEARG)。然后,进行基因本体论(GO)和京都基因与基因组百科全书(KEGG)分析,以探索DEARG的潜在生物学和病理学功能。通过STRING网站建立DEARG的蛋白质-蛋白质相互作用(PPI)网络,并通过Cytoscape进行可视化。此外,通过独立数据集GSE89632验证枢纽基因。最后,我们进行基因集变异分析(GSVA)途径相关分析,以确定非酒精性脂肪肝(NAFL)进展为非酒精性脂肪性肝炎(NASH)的关键信号通路和基因。
在GSE126848数据集中共鉴定出76个DEARG,其中45个基因上调,31个基因下调。GO分析表明,DEARG的生物学功能主要集中在自噬、细胞对外界刺激的反应、成纤维细胞增殖、晚期内体和泛素蛋白连接酶结合。KEGG通路分析表明,这些DEARG主要参与凋亡、PI3K-Akt信号通路和雌激素信号通路。在DEG中,从PPI网络中鉴定出9个关系最密切的基因。此外,在GSE89632数据集中验证了NOS3、IGF1、VAMP8、FOS和HMOX1。最后,确定MAPK信号通路为重要通路,JUN为参与NAFL向NASH进展的关键基因。
本研究可能为NAFLD的筛查和诊断提供可靠的分子生物标志物。同时,它也为探索NAFL向NASH进展的分子机制提供了依据。