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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| Format: | Article |
| Language: | English |
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SpringerOpen
2025-06-01
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| Series: | Egyptian Journal of Medical Human Genetics |
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| Online Access: | https://doi.org/10.1186/s43042-025-00739-y |
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| author | Wirawan Adikusuma Firdayani Firdayani Lalu Muhammad Irham Ichtiarini Nurullita Santri Yohane Vincent Abero Phiri Dian Ayu Eka Pitaloka Rockie Chong Made Ary Sarasmita Rahmat Dani Satria |
| author_facet | Wirawan Adikusuma Firdayani Firdayani Lalu Muhammad Irham Ichtiarini Nurullita Santri Yohane Vincent Abero Phiri Dian Ayu Eka Pitaloka Rockie Chong Made Ary Sarasmita Rahmat Dani Satria |
| author_sort | Wirawan Adikusuma |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-3a0d89150b604c579c1dcc9407830fd2 |
| institution | OA Journals |
| issn | 2090-2441 |
| language | English |
| publishDate | 2025-06-01 |
| publisher | SpringerOpen |
| record_format | Article |
| series | Egyptian Journal of Medical Human Genetics |
| spelling | doaj-art-3a0d89150b604c579c1dcc9407830fd22025-08-20T02:37:14ZengSpringerOpenEgyptian Journal of Medical Human Genetics2090-24412025-06-0126111110.1186/s43042-025-00739-yUnveiling hepatitis B biomarkers through genomic network analysisWirawan Adikusuma0Firdayani Firdayani1Lalu Muhammad Irham2Ichtiarini Nurullita Santri3Yohane Vincent Abero Phiri4Dian Ayu Eka Pitaloka5Rockie Chong6Made Ary Sarasmita7Rahmat Dani Satria8Research Center for Computing, Research Organization for Electronics and Informatics, National Research and Innovation Agency (BRIN)Research Center for Vaccine and Drugs, Research Organization for Health, National Research and Innovation Agency (BRIN)Faculty of Pharmacy, Universitas Ahmad DahlanFaculty of Public Health, Unversitas Ahmad DahlanDepartment of Epidemiology and Environmental Health (EEH), University at BuffaloDepartment of Pharmacology and Clinical Pharmacy, Faculty of Pharmacy, Universitas PadjadjaranDepartment of Chemistry and Biochemistry, University of CaliforniaPharmacy Study Program, Faculty of Mathematics and Sciences, Udayana UniversityDepartment of Clinical Pathology and Laboratory Medicine, Faculty of Medicine, Public Health and Nursing, Universitas Gadjah MadaAbstract 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.https://doi.org/10.1186/s43042-025-00739-yBioinformaticsBiomarkersHepatitis B virusGenomic networksHub genes |
| spellingShingle | Wirawan Adikusuma Firdayani Firdayani Lalu Muhammad Irham Ichtiarini Nurullita Santri Yohane Vincent Abero Phiri Dian Ayu Eka Pitaloka Rockie Chong Made Ary Sarasmita Rahmat Dani Satria Unveiling hepatitis B biomarkers through genomic network analysis Egyptian Journal of Medical Human Genetics Bioinformatics Biomarkers Hepatitis B virus Genomic networks Hub genes |
| title | Unveiling hepatitis B biomarkers through genomic network analysis |
| title_full | Unveiling hepatitis B biomarkers through genomic network analysis |
| title_fullStr | Unveiling hepatitis B biomarkers through genomic network analysis |
| title_full_unstemmed | Unveiling hepatitis B biomarkers through genomic network analysis |
| title_short | Unveiling hepatitis B biomarkers through genomic network analysis |
| title_sort | unveiling hepatitis b biomarkers through genomic network analysis |
| topic | Bioinformatics Biomarkers Hepatitis B virus Genomic networks Hub genes |
| url | https://doi.org/10.1186/s43042-025-00739-y |
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