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Bioinformatic identification of key genes and pathways that may be involved in the pathogenesis of HBV-associated acute liver failure

In order to explore the molecular mechanisms behind the pathogenesis of acute liver failure (ALF) associated with hepatitis B virus (HBV) infection, the present study aimed to identify potential key genes and pathways involved using samples from patients with HBV-associated ALF. The GSE38941 array d...

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Autores principales: Yang, Yalan, Zhong, Zhaohui, Ding, Yubin, Zhang, Wanfeng, Ma, Yang, Zhou, Li
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Chongqing Medical University 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6303483/
https://www.ncbi.nlm.nih.gov/pubmed/30591937
http://dx.doi.org/10.1016/j.gendis.2018.02.005
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author Yang, Yalan
Zhong, Zhaohui
Ding, Yubin
Zhang, Wanfeng
Ma, Yang
Zhou, Li
author_facet Yang, Yalan
Zhong, Zhaohui
Ding, Yubin
Zhang, Wanfeng
Ma, Yang
Zhou, Li
author_sort Yang, Yalan
collection PubMed
description In order to explore the molecular mechanisms behind the pathogenesis of acute liver failure (ALF) associated with hepatitis B virus (HBV) infection, the present study aimed to identify potential key genes and pathways involved using samples from patients with HBV-associated ALF. The GSE38941 array dataset was downloaded from the Gene Expression Omnibus database, and differentially expressed genes (DEGs) between 10 liver samples from 10 healthy donors and 17 liver specimens from 4 patients with HBV-associated ALF were analyzed using the Linear Models for Microarray Data package. Gene Ontology and KEGG pathway enrichment analyses of the DEGs were performed, followed by functional annotation of the genes and construction of a protein–protein interaction (PPI) network. Subnetwork modules were subsequently identified and analyzed. In total, 3142 DEGs were identified, of which 1755 were upregulated and 1387 were downregulated. The extracellular exosome, immune response, and inflammatory response pathways may potentially be used as biomarkers of ALF pathogenesis. In total, 17 genes (including CCR5, CXCR4, ALB, C3, VGEFA, and IGF1) were identified as hub genes in the PPI network and may therefore be potential marker genes for HBV-associated ALF.
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spelling pubmed-63034832018-12-27 Bioinformatic identification of key genes and pathways that may be involved in the pathogenesis of HBV-associated acute liver failure Yang, Yalan Zhong, Zhaohui Ding, Yubin Zhang, Wanfeng Ma, Yang Zhou, Li Genes Dis Article In order to explore the molecular mechanisms behind the pathogenesis of acute liver failure (ALF) associated with hepatitis B virus (HBV) infection, the present study aimed to identify potential key genes and pathways involved using samples from patients with HBV-associated ALF. The GSE38941 array dataset was downloaded from the Gene Expression Omnibus database, and differentially expressed genes (DEGs) between 10 liver samples from 10 healthy donors and 17 liver specimens from 4 patients with HBV-associated ALF were analyzed using the Linear Models for Microarray Data package. Gene Ontology and KEGG pathway enrichment analyses of the DEGs were performed, followed by functional annotation of the genes and construction of a protein–protein interaction (PPI) network. Subnetwork modules were subsequently identified and analyzed. In total, 3142 DEGs were identified, of which 1755 were upregulated and 1387 were downregulated. The extracellular exosome, immune response, and inflammatory response pathways may potentially be used as biomarkers of ALF pathogenesis. In total, 17 genes (including CCR5, CXCR4, ALB, C3, VGEFA, and IGF1) were identified as hub genes in the PPI network and may therefore be potential marker genes for HBV-associated ALF. Chongqing Medical University 2018-03-02 /pmc/articles/PMC6303483/ /pubmed/30591937 http://dx.doi.org/10.1016/j.gendis.2018.02.005 Text en © 2018 Chongqing Medical University. Production and hosting by Elsevier B.V. http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Article
Yang, Yalan
Zhong, Zhaohui
Ding, Yubin
Zhang, Wanfeng
Ma, Yang
Zhou, Li
Bioinformatic identification of key genes and pathways that may be involved in the pathogenesis of HBV-associated acute liver failure
title Bioinformatic identification of key genes and pathways that may be involved in the pathogenesis of HBV-associated acute liver failure
title_full Bioinformatic identification of key genes and pathways that may be involved in the pathogenesis of HBV-associated acute liver failure
title_fullStr Bioinformatic identification of key genes and pathways that may be involved in the pathogenesis of HBV-associated acute liver failure
title_full_unstemmed Bioinformatic identification of key genes and pathways that may be involved in the pathogenesis of HBV-associated acute liver failure
title_short Bioinformatic identification of key genes and pathways that may be involved in the pathogenesis of HBV-associated acute liver failure
title_sort bioinformatic identification of key genes and pathways that may be involved in the pathogenesis of hbv-associated acute liver failure
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6303483/
https://www.ncbi.nlm.nih.gov/pubmed/30591937
http://dx.doi.org/10.1016/j.gendis.2018.02.005
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