Investigation of the relationship between chronic hepatitis B and tuberculosis using bioinformatics and systems biology approaches
BackgroundHepatitis B virus (HBV) is a globally prevalent pathogen that poses significant public health challenges. Active HBV replication can trigger immune responses that result in liver damage. Tuberculosis (TB), caused by Mycobacterium tuberculosis (Mtb), remains one of the leading causes of dea...
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Frontiers Media S.A.
2025-06-01
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| Series: | Frontiers in Medicine |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fmed.2025.1519216/full |
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| author | Jinyi He Xinyi Zhou Danning Zhang Yifei Cai Hongyuan Pan Tengda Huang Fang He |
| author_facet | Jinyi He Xinyi Zhou Danning Zhang Yifei Cai Hongyuan Pan Tengda Huang Fang He |
| author_sort | Jinyi He |
| collection | DOAJ |
| description | BackgroundHepatitis B virus (HBV) is a globally prevalent pathogen that poses significant public health challenges. Active HBV replication can trigger immune responses that result in liver damage. Tuberculosis (TB), caused by Mycobacterium tuberculosis (Mtb), remains one of the leading causes of death from a single infectious agent worldwide. Notably, in TB patients with HBV infection and, the incidence of adverse events is six times higher than in those with TB alone, and HBV infection increases the risk of latent TB. However, the relationship between HBV and TB have not been thoroughly investigated.MethodsTo elucidate the relationship between HBV and TB, we performed an integrated bioinformatics analysis using expression profiling and RNA sequencing data from the GSE83148 and GSE126614 datasets. We identified differentially expressed genes (DEGs) associated with both diseases and analyzed shared biological pathways, key genes, transcriptional regulatory networks, and gene-disease associations. Furthermore, we predicted potential therapeutic agents targeting these shared molecular features.ResultsA total of 35 overlapping DEGs were identified for in-depth analysis. Functional enrichment revealed that these genes are involved in both immune-related pathways and cellular metabolic regulation, underscoring their potential role in the progression of HBV and TB. Protein–protein interaction (PPI) network analysis highlighted four hub genes: CCL2, CD69, EGR2, and CCL20. Additionally, 35 transcription factors (TFs) were predicted to regulate these hub genes. Several candidate drugs, including etoposide, 8-azaguanine, menaquinone, emetine and N-acetyl-L-cysteine, were identified as potential therapeutic options. The DEGs were also significantly associated with other conditions such as pneumonia.ConclusionThis study provides novel insights into the relationship between HBV and TB, offering potential targets for diagnosis and treatment. Our findings may contribute to the development of integrated strategies to manage HBV infection and TB more effectively. |
| format | Article |
| id | doaj-art-fb90c674d4604d988eaf3811fbfa8ff0 |
| institution | Kabale University |
| issn | 2296-858X |
| language | English |
| publishDate | 2025-06-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Medicine |
| spelling | doaj-art-fb90c674d4604d988eaf3811fbfa8ff02025-08-20T03:25:19ZengFrontiers Media S.A.Frontiers in Medicine2296-858X2025-06-011210.3389/fmed.2025.15192161519216Investigation of the relationship between chronic hepatitis B and tuberculosis using bioinformatics and systems biology approachesJinyi He0Xinyi Zhou1Danning Zhang2Yifei Cai3Hongyuan Pan4Tengda Huang5Fang He6Center of Infectious Diseases, West China Hospital, Sichuan University, Chengdu, ChinaDivision of Liver Surgery, Department of General Surgery and Laboratory of Liver Surgery, and State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, ChinaThe College of Life Sciences, Sichuan University, Chengdu, ChinaThe College of Life Sciences, Sichuan University, Chengdu, ChinaDivision of Liver Surgery, Department of General Surgery and Laboratory of Liver Surgery, and State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, ChinaDivision of Liver Surgery, Department of General Surgery and Laboratory of Liver Surgery, and State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, ChinaCenter of Infectious Diseases, West China Hospital, Sichuan University, Chengdu, ChinaBackgroundHepatitis B virus (HBV) is a globally prevalent pathogen that poses significant public health challenges. Active HBV replication can trigger immune responses that result in liver damage. Tuberculosis (TB), caused by Mycobacterium tuberculosis (Mtb), remains one of the leading causes of death from a single infectious agent worldwide. Notably, in TB patients with HBV infection and, the incidence of adverse events is six times higher than in those with TB alone, and HBV infection increases the risk of latent TB. However, the relationship between HBV and TB have not been thoroughly investigated.MethodsTo elucidate the relationship between HBV and TB, we performed an integrated bioinformatics analysis using expression profiling and RNA sequencing data from the GSE83148 and GSE126614 datasets. We identified differentially expressed genes (DEGs) associated with both diseases and analyzed shared biological pathways, key genes, transcriptional regulatory networks, and gene-disease associations. Furthermore, we predicted potential therapeutic agents targeting these shared molecular features.ResultsA total of 35 overlapping DEGs were identified for in-depth analysis. Functional enrichment revealed that these genes are involved in both immune-related pathways and cellular metabolic regulation, underscoring their potential role in the progression of HBV and TB. Protein–protein interaction (PPI) network analysis highlighted four hub genes: CCL2, CD69, EGR2, and CCL20. Additionally, 35 transcription factors (TFs) were predicted to regulate these hub genes. Several candidate drugs, including etoposide, 8-azaguanine, menaquinone, emetine and N-acetyl-L-cysteine, were identified as potential therapeutic options. The DEGs were also significantly associated with other conditions such as pneumonia.ConclusionThis study provides novel insights into the relationship between HBV and TB, offering potential targets for diagnosis and treatment. Our findings may contribute to the development of integrated strategies to manage HBV infection and TB more effectively.https://www.frontiersin.org/articles/10.3389/fmed.2025.1519216/fullhepatitis B virustuberculosisdifferentially expressed genesprotein–protein network (PPI)hub genedrug molecule |
| spellingShingle | Jinyi He Xinyi Zhou Danning Zhang Yifei Cai Hongyuan Pan Tengda Huang Fang He Investigation of the relationship between chronic hepatitis B and tuberculosis using bioinformatics and systems biology approaches Frontiers in Medicine hepatitis B virus tuberculosis differentially expressed genes protein–protein network (PPI) hub gene drug molecule |
| title | Investigation of the relationship between chronic hepatitis B and tuberculosis using bioinformatics and systems biology approaches |
| title_full | Investigation of the relationship between chronic hepatitis B and tuberculosis using bioinformatics and systems biology approaches |
| title_fullStr | Investigation of the relationship between chronic hepatitis B and tuberculosis using bioinformatics and systems biology approaches |
| title_full_unstemmed | Investigation of the relationship between chronic hepatitis B and tuberculosis using bioinformatics and systems biology approaches |
| title_short | Investigation of the relationship between chronic hepatitis B and tuberculosis using bioinformatics and systems biology approaches |
| title_sort | investigation of the relationship between chronic hepatitis b and tuberculosis using bioinformatics and systems biology approaches |
| topic | hepatitis B virus tuberculosis differentially expressed genes protein–protein network (PPI) hub gene drug molecule |
| url | https://www.frontiersin.org/articles/10.3389/fmed.2025.1519216/full |
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