Airway microbiome signature accurately discriminates Mycobacterium tuberculosis infection status

Simple item page
dc.contributor.authorKayongo, Alex
dc.contributor.authorNtayi, Moses Levi
dc.contributor.authorOlweny, Geoffrey
dc.contributor.authorKyalo, Edward
dc.contributor.authorNdawula, Josephine
dc.contributor.authorSsengooba, Willy
dc.contributor.authorKigozi, Edgar
dc.contributor.authorKalyesubula, Robert
dc.contributor.authorMunana, Richard
dc.contributor.authorNamaganda, Jesca
dc.contributor.authorCaroline, Musiime
dc.contributor.authorSekibira, Rogers
dc.contributor.authorBagaya, Bernard Sentalo
dc.contributor.authorKateete, David Patrick
dc.contributor.authorJoloba, Moses Lutaakome
dc.contributor.authorJjingo, Daudi
dc.contributor.authorSande, Obondo James
dc.contributor.authorMayanja-Kizza, Harriet
dc.date.accessioned2024-06-24T07:51:11Z
dc.date.available2024-06-24T07:51:11Z
dc.date.issued2024-06
dc.description.abstractAbstract 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. [Display omitted] •M.tb infection drives a significant reduction in airway microbiome diversity•M.tb-specific IFNg does not directly impact airway microbiome diversity•Airway microbiome signature discriminates active TB from LTBI and uninfected states•LTBI and M.tb-uninfected states display similar airway microbiome diversity Microbiology; Bacteriology; Microbiome
dc.identifier.citationKayongo, Alex, Moses Levi Ntayi, Geoffrey Olweny, et al. 'Airway Microbiome Signature Accurately Discriminates Mycobacterium Tuberculosis Infection Status', Iscience, vol. 27/no. 6, (2024), .
dc.identifier.issnISSN 2589-0042
dc.identifier.issnEISSN 2589-0042
dc.identifier.urihttps://nru.uncst.go.ug/handle/123456789/9573
dc.language.isoen
dc.publisherElsevier Inc
dc.titleAirway microbiome signature accurately discriminates Mycobacterium tuberculosis infection status
dc.typeArticle
Files
Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
PIIS2589004224013671.pdf
Size:
4.41 MB
Format:
Adobe Portable Document Format
Download
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.71 KB
Format:
Item-specific license agreed upon to submission
Description:
Download
Collections
Medical and Health Sciences