Please use this identifier to cite or link to this item: https://hdl.handle.net/10216/142523
Author(s): Sousa, J
Cá, B
Maceiras, AR
Simões-Costa, L
Fonseca, KL
Fernandes, AI
Ramos, A
Carvalho, T
Barros, L
Magalhães, C
Chiner-Oms, Á
Machado, H
Veiga, MI
Singh, A
Pereira, R
Amorim, A
Vieira, J
Vieira, CP
Bhatt, A
Rodrigues, F
Rodrigues, P
Gagneux, S
Castro, AG
Guimarães, JT
Bastos, HN
Osório, NS
Comas, I
Saraiva, M
Title: Mycobacterium tuberculosis associated with severe tuberculosis evades cytosolic surveillance systems and modulates IL-1ß production
Publisher: Nature Publishing Group
Issue Date: 2020
Abstract: Genetic diversity of Mycobacterium tuberculosis affects immune responses and clinical outcomes of tuberculosis (TB). However, how bacterial diversity orchestrates immune responses to direct distinct TB severities is unknown. Here we study 681 patients with pulmonary TB and show that M. tuberculosis isolates from cases with mild disease consistently induce robust cytokine responses in macrophages across multiple donors. By contrast, bacteria from patients with severe TB do not do so. Secretion of IL-1ß is a good surrogate of the differences observed, and thus to classify strains as probable drivers of different TB severities. Furthermore, we demonstrate that M. tuberculosis isolates that induce low levels of IL-1ß production can evade macrophage cytosolic surveillance systems, including cGAS and the inflammasome. Isolates exhibiting this evasion strategy carry candidate mutations, generating sigA recognition boxes or affecting components of the ESX-1 secretion system. Therefore, we provide evidence that M. tuberculosis strains manipulate host-pathogen interactions to drive variable TB severities.
URI: https://hdl.handle.net/10216/142523
Source: Nature Communications, vol.11(1):1949
Related Information: info:eu-repo/grantAgreement/FCT/OE/SFRH%2FBD%2F114405%2F2016/PT
Document Type: Artigo em Revista Científica Internacional
Rights: openAccess
License: https://creativecommons.org/licenses/by/4.0/
Appears in Collections:ICBAS - Artigo em Revista Científica Internacional

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