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乙型肝炎病毒相关急性肝衰竭患者中枢纽基因的鉴定及潜在分子机制

Identification of Hub Genes and Potential Molecular Mechanisms in Patients with HBV-Associated Acute Liver Failure.

作者信息

Sun Ying, Yu Haitao, Li Fangfang, Lan Liqiang, He Daxin, Zhao Haijun, Qi Dachuan

机构信息

Department of Gastroenterology, Qingdao Eighth People's Hospital, Qingdao, China.

Intensive Care Unit, Qingdao Municipal Hospital, Qingdao, China.

出版信息

Evol Bioinform Online. 2020 Oct 10;16:1176934320943901. doi: 10.1177/1176934320943901. eCollection 2020.

Abstract

Hepatitis B virus (HBV) infection is a major cause of acute liver failure (ALF) in China, and mortality rates are high among patients who do not receive a matched liver transplant. This study aimed to determine potential mechanisms involved in HBV-ALF pathogenesis. Gene expression profiles under access numbers GSE38941 and GSE14668 were downloaded from the Gene Expression Omnibus database, including cohorts of HBV-ALF liver tissue and normal samples. Differentially expressed genes (DEGs) with false discovery rates (FDR) <0.05 and |log(fold change)| >1 as thresholds were screened using the Limma package. Gene modules associated with stable disease were mined using weighed gene co-expression network analysis (WGCNA). A co-expression network was constructed and DEGs were analyzed using gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses. A gene-based network was constructed to explore major factors associated with disease progression. We identified 2238 overlapping DEGs as crucial gene cohorts in ALF development. Based on a WGCNA algorithm, 10 modules (modules 1-10) were obtained that ranged from 75 to 1078 genes per module. Cyclin-dependent kinase 1 (), cyclin B1 (), and cell-division cycle protein 20 () hub genes were screened using the co-expression network. Furthermore, 17 GO terms and 6 KEGG pathways were identified, such as cell division, immune response process, and antigen processing and presentation. Two overlapping signaling pathways that are crucial factors in HBV-ALF were screened using the Comprehensive Toxicogenomics Database (CTD). Several candidate genes including , and were associated with HBV-ALF progression. Natural killer cell-mediated cytotoxicity and antigen presentation contributed to the progression of HBV-ALF. The , and genes play critical roles in the pathogenesis and development of HBV-ALF.

摘要

乙型肝炎病毒(HBV)感染是中国急性肝衰竭(ALF)的主要病因,在未接受匹配肝移植的患者中死亡率很高。本研究旨在确定HBV-ALF发病机制中涉及的潜在机制。从基因表达综合数据库下载了登录号为GSE38941和GSE14668的基因表达谱,包括HBV-ALF肝组织和正常样本队列。使用Limma软件包筛选错误发现率(FDR)<0.05且|log(倍数变化)|>1作为阈值的差异表达基因(DEG)。使用加权基因共表达网络分析(WGCNA)挖掘与稳定疾病相关的基因模块。构建共表达网络,并使用基因本体(GO)和京都基因与基因组百科全书(KEGG)富集分析对DEG进行分析。构建基于基因的网络以探索与疾病进展相关的主要因素。我们鉴定出2238个重叠的DEG作为ALF发展中的关键基因队列。基于WGCNA算法,获得了10个模块(模块1-10),每个模块包含75至1078个基因。使用共表达网络筛选出细胞周期蛋白依赖性激酶1()、细胞周期蛋白B1()和细胞分裂周期蛋白20()等)等中心基因。此外,还鉴定出17个GO术语和6条KEGG途径,如细胞分裂、免疫反应过程以及抗原加工和呈递。使用综合毒理基因组学数据库(CTD)筛选出两条重叠的信号通路,它们是HBV-ALF中的关键因素。包括等在内的几个候选基因与HBV-ALF进展相关。自然杀伤细胞介导的细胞毒性和抗原呈递促进了HBV-ALF的进展。等基因在HBV-ALF的发病机制和发展中起关键作用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bd59/7549162/1291754db881/10.1177_1176934320943901-fig1.jpg

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