ArticleGenes & diseases2018
Bioinformatic identification of key genes and pathways that may be involved in the pathogenesis of HBV-associated acute liver failure.
Article in Genes & diseases, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
What it found
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Who cites it
8 citing papers in PubMed, 18 citations in OpenAlex.
- Analysis of host factor networks during hepatitis B virus infection in primary human hepatocytes.Virology journal · 2024Article
- A genetic variant ofJournal of clinical microbiology · 2024Article
- C-C chemokine receptor 5 is essential for conventional NK cell trafficking and liver injury in a murine hepatitis virus-induced fulminant hepatic failure model.Journal of translational medicine · 2023Article
- Integrated bioinformatics-based identification of potential diagnostic biomarkers associated with atopic dermatitis.Postepy dermatologii i alergologii · 2022Article
- Identification of key genes and infiltrating immune cells among acetaminophen-induced acute liver failure and HBV-associated acute liver failure.Annals of translational medicine · 2022Article
- Integrated analysis and identification of nine-gene signature associated to oral squamous cell carcinoma pathogenesis.3 Biotech · 2021Article
- Transcriptomic landscaping of core genes and pathways of mild and severe psoriasis vulgaris.International journal of molecular medicine · 2021Article
- Beyond HIV infection: Neglected and varied impacts of CCR5 and CCR5Δ32 on viral diseases.Virus research · 2020Review
Corrections and comments
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Authors and funding
6 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
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
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