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Yang Y, Zhong Z, Ding Y, Zhang W, Ma Y, Zhou L. Bioinformatic identification of key genes and pathways that may be involved in the pathogenesis of HBV-associated acute liver failure. Genes Dis 2018; 5:349-357. [PMID: 30591937 PMCID: PMC6303483 DOI: 10.1016/j.gendis.2018.02.005] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/25/2017] [Accepted: 02/13/2018] [Indexed: 02/07/2023] Open
Abstract
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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Key Words
- ALF, acute liver failure
- BP, biological processes
- CC, cell components
- DEGs, differentially expressed genes
- Differentially expressed genes
- Function enrichment analysis
- GEO, Gene Expression Omnibus
- GO, Gene Ontology
- HBV, Hepatitis B Virus
- HBV-associated ALF
- HSPC, hepatic stem/progenitor cells
- KEGG, Kyoto Encyclopedia of Genes and Genomes
- MF, molecular functions
- Module analysis
- OLT, orthotopic liver transplantation
- PPI, protein–protein interaction
- Protein–protein interaction network
- STRING, the Search Tool for the Retrieval of Interacting Genes
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Affiliation(s)
- Yalan Yang
- School of Public Health and Management, Chongqing Medical University, Chongqing, 400016, China.,Research Center for Medicine and Social Development, Chongqing, 400016, China.,Innovation Center for Social Risk Governance in Health, Chongqing, 400016, China
| | - Zhaohui Zhong
- School of Public Health and Management, Chongqing Medical University, Chongqing, 400016, China.,Research Center for Medicine and Social Development, Chongqing, 400016, China.,Innovation Center for Social Risk Governance in Health, Chongqing, 400016, China
| | - Yubin Ding
- School of Public Health and Management, Chongqing Medical University, Chongqing, 400016, China.,Research Center for Medicine and Social Development, Chongqing, 400016, China.,Innovation Center for Social Risk Governance in Health, Chongqing, 400016, China
| | - Wanfeng Zhang
- Department of Bioinformatics, Chongqing Medical University, Chongqing, 400016, China
| | - Yang Ma
- School of Public Health and Management, Chongqing Medical University, Chongqing, 400016, China.,Research Center for Medicine and Social Development, Chongqing, 400016, China.,Innovation Center for Social Risk Governance in Health, Chongqing, 400016, China
| | - Li Zhou
- School of Public Health and Management, Chongqing Medical University, Chongqing, 400016, China.,Research Center for Medicine and Social Development, Chongqing, 400016, China.,Innovation Center for Social Risk Governance in Health, Chongqing, 400016, China
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