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

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 acc...

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Main Authors: Ying Sun, Haitao Yu, Fangfang Li, Liqiang Lan, Daxin He, Haijun Zhao, Dachuan Qi
Format: Article
Language:English
Published: SAGE Publishing 2020-10-01
Series:Evolutionary Bioinformatics
Online Access:https://doi.org/10.1177/1176934320943901
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spelling doaj-4012a8ae135846b6957604816bae60fb2020-11-25T03:53:16ZengSAGE PublishingEvolutionary Bioinformatics1176-93432020-10-011610.1177/1176934320943901Identification of Hub Genes and Potential Molecular Mechanisms in Patients with HBV-Associated Acute Liver FailureYing Sun0Haitao Yu1Fangfang Li2Liqiang Lan3Daxin He4Haijun Zhao5Dachuan Qi6Department of Gastroenterology, Qingdao Eighth People’s Hospital, Qingdao, ChinaIntensive Care Unit, Qingdao Municipal Hospital, Qingdao, ChinaDepartment of Respiratory Medicine, Qingdao Eighth People’s Hospital, Qingdao, ChinaDepartment of Endocrinology, Qingdao Eighth People’s Hospital, Qingdao, ChinaDepartment of Ultrasound, Qingdao Municipal Hospital, Qingdao, ChinaDepartment of Urology, Qingdao Municipal Hospital, Qingdao, ChinaDepartment of Surgery, Shanghai Fourth People’s Hospital Affiliated to Tongji University, Shanghai, ChinaHepatitis 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 2 (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 ( CDK1 ), cyclin B1 ( CCNB1 ), and cell-division cycle protein 20 ( CDC20 ) 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 HLA-E, B2M, HLA-DPA1 , and SYK were associated with HBV-ALF progression. Natural killer cell-mediated cytotoxicity and antigen presentation contributed to the progression of HBV-ALF. The HLA-E, B2M, HLA-DPA1 , and SYK genes play critical roles in the pathogenesis and development of HBV-ALF.https://doi.org/10.1177/1176934320943901
collection DOAJ
language English
format Article
sources DOAJ
author Ying Sun
Haitao Yu
Fangfang Li
Liqiang Lan
Daxin He
Haijun Zhao
Dachuan Qi
spellingShingle Ying Sun
Haitao Yu
Fangfang Li
Liqiang Lan
Daxin He
Haijun Zhao
Dachuan Qi
Identification of Hub Genes and Potential Molecular Mechanisms in Patients with HBV-Associated Acute Liver Failure
Evolutionary Bioinformatics
author_facet Ying Sun
Haitao Yu
Fangfang Li
Liqiang Lan
Daxin He
Haijun Zhao
Dachuan Qi
author_sort Ying Sun
title Identification of Hub Genes and Potential Molecular Mechanisms in Patients with HBV-Associated Acute Liver Failure
title_short Identification of Hub Genes and Potential Molecular Mechanisms in Patients with HBV-Associated Acute Liver Failure
title_full Identification of Hub Genes and Potential Molecular Mechanisms in Patients with HBV-Associated Acute Liver Failure
title_fullStr Identification of Hub Genes and Potential Molecular Mechanisms in Patients with HBV-Associated Acute Liver Failure
title_full_unstemmed Identification of Hub Genes and Potential Molecular Mechanisms in Patients with HBV-Associated Acute Liver Failure
title_sort identification of hub genes and potential molecular mechanisms in patients with hbv-associated acute liver failure
publisher SAGE Publishing
series Evolutionary Bioinformatics
issn 1176-9343
publishDate 2020-10-01
description 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 2 (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 ( CDK1 ), cyclin B1 ( CCNB1 ), and cell-division cycle protein 20 ( CDC20 ) 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 HLA-E, B2M, HLA-DPA1 , and SYK were associated with HBV-ALF progression. Natural killer cell-mediated cytotoxicity and antigen presentation contributed to the progression of HBV-ALF. The HLA-E, B2M, HLA-DPA1 , and SYK genes play critical roles in the pathogenesis and development of HBV-ALF.
url https://doi.org/10.1177/1176934320943901
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