iScience (Jun 2024)

Airway microbiome signature accurately discriminates Mycobacterium tuberculosis infection status

  • Alex Kayongo,
  • Moses Levi Ntayi,
  • Geoffrey Olweny,
  • Edward Kyalo,
  • Josephine Ndawula,
  • Willy Ssengooba,
  • Edgar Kigozi,
  • Robert Kalyesubula,
  • Richard Munana,
  • Jesca Namaganda,
  • Musiime Caroline,
  • Rogers Sekibira,
  • Bernard Sentalo Bagaya,
  • David Patrick Kateete,
  • Moses Lutaakome Joloba,
  • Daudi Jjingo,
  • Obondo James Sande,
  • Harriet Mayanja-Kizza

Journal volume & issue
Vol. 27, no. 6
p. 110142

Abstract

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Summary: Mycobacterium tuberculosis remains one of the deadliest infectious agents globally. Amidst efforts to control TB, long treatment duration, drug toxicity, and resistance underscore the need for novel therapeutic strategies. Despite advances in understanding the interplay between microbiome and disease in humans, the specific role of the microbiome in predicting disease susceptibility and discriminating infection status in tuberculosis still needs to be fully investigated. We investigated the impact of M.tb infection and M.tb-specific IFNγ immune responses on airway microbiome diversity by performing TB GeneXpert and QuantiFERON-GOLD assays during the follow-up phase of a longitudinal HIV-Lung Microbiome cohort of individuals recruited from two large independent cohorts in rural Uganda. M.tb rather than IFNγ immune response mainly drove a significant reduction in airway microbiome diversity. A microbiome signature comprising Streptococcus, Neisseria, Fusobacterium, Prevotella, Schaalia, Actinomyces, Cutibacterium, Brevibacillus, Microbacterium, and Beijerinckiacea accurately discriminated active TB from Latent TB and M.tb-uninfected individuals.

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