A multi-cohort study of the immune factors associated with M. tuberculosis infection outcomes

肺结核 免疫学 免疫系统 结核分枝杆菌 疾病 队列 医学 质量细胞仪 无症状的 生物 内科学 表型 病理 遗传学 基因
作者
Roshni Roy Chowdhury,Francesco Vallania,Qianting Yang,Cesar J. Lopez Angel,Fatoumatta Darboe,Adam Penn-Nicholson,Virginie Rozot,Elisa Nemes,Stephanus T. Malherbe,Katharina Ronacher,Gerhard Walzl,Willem A. Hanekom,Mark M. Davis,Jill Winter,Xinchun Chen,Thomas J. Scriba,Purvesh Khatri,Yueh‐hsiu Chien
出处
期刊:Nature [Springer Nature]
卷期号:560 (7720): 644-648 被引量:172
标识
DOI:10.1038/s41586-018-0439-x
摘要

Most infections with Mycobacterium tuberculosis (Mtb) manifest as a clinically asymptomatic, contained state, known as latent tuberculosis infection, that affects approximately one-quarter of the global population1. Although fewer than one in ten individuals eventually progress to active disease2, tuberculosis is a leading cause of death from infectious disease worldwide3. Despite intense efforts, immune factors that influence the infection outcomes remain poorly defined. Here we used integrated analyses of multiple cohorts to identify stage-specific host responses to Mtb infection. First, using high-dimensional mass cytometry analyses and functional assays of a cohort of South African adolescents, we show that latent tuberculosis is associated with enhanced cytotoxic responses, which are mostly mediated by CD16 (also known as FcγRIIIa) and natural killer cells, and continuous inflammation coupled with immune deviations in both T and B cell compartments. Next, using cell-type deconvolution of transcriptomic data from several cohorts of different ages, genetic backgrounds, geographical locations and infection stages, we show that although deviations in peripheral B and T cell compartments generally start at latency, they are heterogeneous across cohorts. However, an increase in the abundance of circulating natural killer cells in tuberculosis latency, with a corresponding decrease during active disease and a return to baseline levels upon clinical cure are features that are common to all cohorts. Furthermore, by analysing three longitudinal cohorts, we find that changes in peripheral levels of natural killer cells can inform disease progression and treatment responses, and inversely correlate with the inflammatory state of the lungs of patients with active tuberculosis. Together, our findings offer crucial insights into the underlying pathophysiology of tuberculosis latency, and identify factors that may influence infection outcomes.
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