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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...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Chongqing Medical University
2018
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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. |
format | Online Article Text |
id | pubmed-6303483 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Chongqing Medical University |
record_format | MEDLINE/PubMed |
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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