Identification and assessment of hub genes and miRNAs coregulatory associated with immune infiltrations and drug interactions in latent tuberculosis based on MicroarrayData analysis, molecular docking, and dynamic simulation Article Swipe
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· 2025
· Open Access
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· DOI: https://doi.org/10.1016/j.bbrep.2025.101952
Tuberculosis (TB) remains a major global health concern, with the transition from latent to active TB still poorly understood. Therefore, enhancing clinical management and prevention strategies for TB is essential. High-throughput sequencing data of genes and miRNAs from individuals at different TB stages were obtained from NCBI. Differential expression analysis was performed using the R package limma, alongside GO and KEGG analyses. The central regulatory network of miRNAs was visualized with Cytoscape, and relevant genes were validated using ROC analysis. The predicted key genes involved in the transition from latent to active TB, including PLEKHG1, CLPB, DOK4, IL1β, and TLR3, are primarily associated with multicellular organism processes, stimulus-response, GPCR ligand binding, and immune functions. Finally, we screened Celastrol and Cefaclor Anhydrous targeting IL1β as potent anti-inflammatory drug to reduce the inflammation due to TB. These findings were further validated with Molecular dynamic simulation MM-GBSA and PCA analysis. Our study advances the understanding of latent tuberculosis and identifies genes and microRNAs as potential biomarkers for diagnosis, monitoring, and treatment, with broader implications for complex disease research.
Related Topics
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1016/j.bbrep.2025.101952
- OA Status
- gold
- Cited By
- 2
- References
- 97
- Related Works
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- OpenAlex ID
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Raw OpenAlex JSON
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https://openalex.org/W4407606796Canonical identifier for this work in OpenAlex
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https://doi.org/10.1016/j.bbrep.2025.101952Digital Object Identifier
- Title
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Identification and assessment of hub genes and miRNAs coregulatory associated with immune infiltrations and drug interactions in latent tuberculosis based on MicroarrayData analysis, molecular docking, and dynamic simulationWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2025Year of publication
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2025-02-16Full publication date if available
- Authors
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PhongSon Dinh, ChauMyThanh Tran, ThiPhuongHoai Dinh, Hai‐Anh Ha, Aigul Utegenova, Awais Ali, Abdulaziz AlamriList of authors in order
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https://doi.org/10.1016/j.bbrep.2025.101952Publisher landing page
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YesWhether a free full text is available
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goldOpen access status per OpenAlex
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https://doi.org/10.1016/j.bbrep.2025.101952Direct OA link when available
- Concepts
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Latent tuberculosis, Identification (biology), Computational biology, Immune system, Biology, Tuberculosis, Mycobacterium tuberculosis, Gene, Drug, Docking (animal), Genetics, Medicine, Pharmacology, Pathology, Nursing, BotanyTop concepts (fields/topics) attached by OpenAlex
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2Total citation count in OpenAlex
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2025: 2Per-year citation counts (last 5 years)
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97Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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