Abstract

The Mycobacterium tuberculosis complex (MTBC) comprises nine human-adapted lineages that differ in their geographical distribution. Local adaptation of specific MTBC genotypes to the respective human host population has been invoked in this context. We aimed to assess if bacterial genetics governs MTBC pathogenesis or if local co-adaptation translates into differential susceptibility of human macrophages to infection by different MTBC genotypes. We generated macrophages from cryopreserved blood mononuclear cells of Tanzanian tuberculosis patients, from which the infecting MTBC strains had previously been phylogenetically characterized. We infected these macrophages ex vivo with a phylogenetically similar MTBC strain (“matched infection”) or with strains representative of other MTBC lineages (“mismatched infection”). We found that L1 infections resulted in a significantly lower bacterial burden and that the intra-cellular replication rate of L2 strains was significantly higher compared the other MTBC lineages, irrespective of the MTBC lineage originally infecting the patients. Moreover, L4-infected macrophages released significantly greater amounts of TNF-α, IL-6, IL-10, MIP-1β, and IL-1β compared to macrophages infected by all other strains. While our results revealed no measurable effect of local adaptation, they further highlight the strong impact of MTBC phylogenetic diversity on the variable outcome of the host–pathogen interaction in human tuberculosis.

Details

Title
Bacterial diversity dominates variable macrophage responses of tuberculosis patients in Tanzania
Author
Hiza, Hellen 1 ; Zwyer, Michaela 2 ; Hella, Jerry 1 ; Arbués, Ainhoa 2 ; Sasamalo, Mohamed 1 ; Borrell, Sonia 2 ; Xu, Zhi Ming 3 ; Ross, Amanda 2 ; Brites, Daniela 2 ; Fellay, Jacques 3 ; Reither, Klaus 2 ; Gagneux, Sébastien 2 ; Portevin, Damien 2 

 Swiss Tropical and Public Health Institute, Basel, Switzerland (GRID:grid.416786.a) (ISNI:0000 0004 0587 0574); University of Basel, Basel, Switzerland (GRID:grid.6612.3) (ISNI:0000 0004 1937 0642); Ifakara Health Institute, Bagamoyo, Tanzania (GRID:grid.414543.3) (ISNI:0000 0000 9144 642X) 
 Swiss Tropical and Public Health Institute, Basel, Switzerland (GRID:grid.416786.a) (ISNI:0000 0004 0587 0574); University of Basel, Basel, Switzerland (GRID:grid.6612.3) (ISNI:0000 0004 1937 0642) 
 Ecole Polytechnique Federale de Lausanne, School of Life Sciences, Lausanne, Switzerland (GRID:grid.5333.6) (ISNI:0000 0001 2183 9049); Swiss Institute of Bioinformatics, Lausanne, Switzerland (GRID:grid.419765.8) (ISNI:0000 0001 2223 3006); Lausanne University Hospital and University of Lausanne, Precision Medicine Unit, Lausanne, Switzerland (GRID:grid.9851.5) (ISNI:0000 0001 2165 4204) 
Pages
9287
Publication year
2024
Publication date
2024
Publisher
Nature Publishing Group
e-ISSN
20452322
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
3048575778
Copyright
© The Author(s) 2024. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.