Unveiling hepatitis B biomarkers through genomic network analysis
Abstract Background The infection caused by the Hepatitis B virus (HBV) poses a significant challenge to global health. However, identifying and prioritizing functional biomarkers associated with the disease will allow more focused efforts for pre-clinical investigation. This study aimed to employ a...
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| Main Authors: | , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
SpringerOpen
2025-06-01
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| Series: | Egyptian Journal of Medical Human Genetics |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s43042-025-00739-y |
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| Summary: | Abstract Background The infection caused by the Hepatitis B virus (HBV) poses a significant challenge to global health. However, identifying and prioritizing functional biomarkers associated with the disease will allow more focused efforts for pre-clinical investigation. This study aimed to employ advanced genomic networks and bioinformatics tools to prioritize biomarkers for HBV. Results Comprehensive curation from six well-known databases yields a set of 495 HBV-associated genes based on gene ontology enrichment, pathway enrichment and protein–protein interaction analyses. Further functional gene network analyses identified 10 hub genes (IL-6, TNF, STAT3, CD4, IL-10, STAT1, IL-1B, AKT1, IL-2, and TLR4), warranting further investigation. Among these genes, IL-6, TNF, and STAT3 emerged as promising biomarkers for HBV through CytoHubba analysis. Conclusions Overall, this study offers a genomic network-centric approach to identify and prioritize potential HBV biomarkers to provide valuable insights into its pathogenesis. |
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| ISSN: | 2090-2441 |