{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,2]],"date-time":"2026-10-02T15:58:51Z","timestamp":1790956731546,"version":"4.1.0"},"reference-count":192,"publisher":"Frontiers Media SA","license":[{"start":{"date-parts":[[2026,6,19]],"date-time":"2026-06-19T00:00:00Z","timestamp":1781827200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["frontiersin.org"],"crossmark-restriction":true},"short-container-title":["Front. Cell. Infect. Microbiol."],"abstract":"<jats:p>Tuberculosis (TB), especially multidrug-resistant and extensively drug-resistant strains, remains a severe global health threat. Advances in high-throughput sequencing, omics technologies and artificial intelligence have revealed the critical involvement of the gut microbiome (GM) in TB pathogenesis, diagnosis and treatment via the gut\u2013lung axis. The GM modulates host immunity and metabolism; TB patients typically show reduced microbial diversity and enriched pro-inflammatory taxa closely linked to disease severity and treatment responses. Omics research has identified promising biomarkers and pathways for early diagnosis and personalized management, while artificial intelligence improves diagnostic accuracy and treatment outcome prediction. GM-targeted interventions, including probiotics, dietary adjustment and fecal microbiota transplantation, can enhance therapeutic efficacy and relieve adverse drug reactions. Current limitations include insufficient validation of the gut-lung axis\u2019 causal mechanisms, lagged clinical translation of biomarkers, biases and errors in diagnosis and prediction, data privacy and security concerns, gaps in intervention research, and poor accessibility of related technologies in resource-scarce medical regions. Future studies need rigorous causal analyses, real-time monitoring tools and large-scale multicenter trials to validate microbiome-based strategies. This review highlights the translational potential of GM interventions to optimize personalized TB prevention, diagnosis and treatment and improve clinical outcomes.<\/jats:p>","DOI":"10.3389\/fcimb.2026.1847443","type":"journal-article","created":{"date-parts":[[2026,6,19]],"date-time":"2026-06-19T05:48:04Z","timestamp":1781848084000},"update-policy":"https:\/\/doi.org\/10.3389\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["Harnessing the gut microbiome to combat tuberculosis: a technological and clinical review"],"prefix":"10.3389","volume":"16","author":[{"given":"Weiguo","family":"Sun","sequence":"first","affiliation":[{"name":"Beijing Key Laboratory of Emergency Vaccine Development and Process Translation, Senior Department of Tuberculosis, Chinese PLA General Hospital","place":["Beijing, China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Meng","family":"Xiao","sequence":"additional","affiliation":[{"name":"Computer Network 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