Gut microbiota and tuberculosis

Gut microbiota and tuberculosis

Abstract Tuberculosis (TB), caused by Mycobacterium tuberculosis (MTB), remains a significant global health challenge. Recent advancements in gut microbiota (GM) research have shed light on the intricate relationship between GM and TB, suggesting that GM alterations may influence host susceptibility...

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Main Authors: Yanhua Liu, Ling Yang, Maryam Meskini, Anjana Goel, Monique Opperman, Sagar Singh Shyamal, Ajay Manaithiya, Meng Xiao, Ruizi Ni, Yajing An, Mingming Zhang, Yuan Tian, Shuang Zhou, Zhaoyang Ye, Li Zhuang, Linsheng Li, Istuti Saraswat, Ankita Kar, Syed Luqman Ali, Shakir Ullah, Syed Yasir Ali, Shradha Kaushik, Tianmu Tian, Mingyang Jiao, Shujun Wang, Giulia Ghisleni, Alice Armanni, Sara Fumagalli, WenYu Wang, Chao Cao, Maria Carpena, Miguel A. Prieto, Antonia Bruno, Chanyuan Jin, Hanqing Hu, Yuhang Zhang, Ilse du Preez, Ashok Aspatwar, Lingxia Zhang, Wenping Gong
Format: Article
Language:English
Published: Wiley 2025-08-01
Series:iMeta
Subjects:
artificial intelligence
gut microbiota
microbiome‐based diagnostics
Mycobacterium tuberculosis
omics technologies
tuberculosis
Online Access:https://doi.org/10.1002/imt2.70054
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Summary:Abstract Tuberculosis (TB), caused by Mycobacterium tuberculosis (MTB), remains a significant global health challenge. Recent advancements in gut microbiota (GM) research have shed light on the intricate relationship between GM and TB, suggesting that GM alterations may influence host susceptibility, disease progression, and response to antituberculosis drugs. This review systematically synthesizes and analyzes the current research progress on the relationship between GM and TB, focusing on six key aspects: (1) bidirectional effects between GM dynamics and TB progression; (2) the interaction between GM and anti‐TB drugs; (3) GM and TB immune response; (4) GM as a potential target for diagnosis and treatment of TB; (5) multi‐omics and artificial intelligence (AI) technologies in GM‐TB research; (6) current challenges and future directions in GM‐TB research. We highlight the bidirectional nature of the GM–TB interaction, where MTB infection can lead to GM dysbiosis, and changes can affect the host's immune response, contributing to TB onset and progression. Advanced molecular techniques, such as next‐generation sequencing and metagenomics, along with AI, play pivotal roles in elucidating these complex interactions. Future research directions include investigating the relationship between GM and TB vaccine efficacy, exploring GM's potential in TB prevention, developing microbiome‐based diagnostic and prognostic tools, and examining the role of GM in TB recurrence. By addressing these areas, we aim to provide a comprehensive perspective on the latest advancements in GM and TB research and offer insights for future studies and clinical applications. Ultimately, the development of novel microbiome‐based strategies may offer new tools and insights for the effective control and management of TB, a disease that continues to pose a significant threat to public health.
ISSN:2770-596X

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