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 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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Publication Details

Journal
Egyptian Journal of Medical Human Genetics
Published
2025-06-21
DOI
https://doi.org/10.1186/s43042-025-00739-y
Primary Topic
Hepatitis B Virus Studies
Type
article
Field-Weighted Citation Impact
0.00

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article

Unveiling hepatitis B biomarkers through genomic network analysis

Lalu Muhammad Irham, Rockie Chong, Ichtiarini Nurullita Santri, Wirawan Adikusuma et al.
Egyptian Journal of Medical Human Genetics
Hepatitis B Virus Studies
article

Unveiling hepatitis B biomarkers through genomic network analysis

Lalu Muhammad Irham, Rockie Chong, Ichtiarini Nurullita Santri, Wirawan Adikusuma, Firdayani Firdayani, Rahmat Dani Satria, Yohane Vincent Abero Phiri, Dian Ayu Eka Pitaloka, Made Ary Sarasmita
article en

Abstract

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.

Egyptian Journal of Medical Human GeneticsVol. 26(1)
Udayana University (ID), University of California, Los Angeles (US), Universitas Gadjah Mada (ID), National Institute of Informatics (JP), Universitas Ahmad Dahlan (ID), University of Muhammadiyah Mataram (ID), Rumah Sakit Umum Pusat Dr. Sardjito (ID), National Nuclear Energy Agency of Indonesia (ID), University at Buffalo, State University of New York (US), Padjadjaran University (ID)
Badan Riset dan Inovasi Nasional, Lembaga Pengelola Dana Pendidikan
Good health and well-being
Openalex Percentile: Top 79%
Hepatitis B Virus Studies
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