Suliman Sara, Thompson Ethan G, Sutherland Jayne, Weiner January, Ota Martin O C, Shankar Smitha, Penn-Nicholson Adam, Thiel Bonnie, Erasmus Mzwandile, Maertzdorf Jeroen, Duffy Fergal J, Hill Philip C, Hughes E Jane, Stanley Kim, Downing Katrina, Fisher Michelle L, Valvo Joe, Parida Shreemanta K, van der Spuy Gian, Tromp Gerard, Adetifa Ifedayo M O, Donkor Simon, Howe Rawleigh, Mayanja-Kizza Harriet, Boom W Henry, Dockrell Hazel M, Ottenhoff Tom H M, Hatherill Mark, Aderem Alan, Hanekom Willem A, Scriba Thomas J, Kaufmann Stefan H E, Zak Daniel E, Walzl Gerhard
South African Tuberculosis Vaccine Initiative, Institute of Infectious Disease and Molecular Medicine, and.
Division of Immunology, Department of Pathology, University of Cape Town, Cape Town, South Africa.
Am J Respir Crit Care Med. 2018 May 1;197(9):1198-1208. doi: 10.1164/rccm.201711-2340OC.
Contacts of patients with tuberculosis (TB) constitute an important target population for preventive measures because they are at high risk of infection with and progression to disease. We investigated biosignatures with predictive ability for incident TB. In a case-control study nested within the Grand Challenges 6-74 longitudinal HIV-negative African cohort of exposed household contacts, we employed RNA sequencing, PCR, and the pair ratio algorithm in a training/test set approach. Overall, 79 progressors who developed TB between 3 and 24 months after diagnosis of index case and 328 matched nonprogressors who remained healthy during 24 months of follow-up were investigated. A four-transcript signature derived from samples in a South African and Gambian training set predicted progression up to two years before onset of disease in blinded test set samples from South Africa, the Gambia, and Ethiopia with little population-associated variability, and it was also validated in an external cohort of South African adolescents with latent infection. By contrast, published diagnostic or prognostic TB signatures were predicted in samples from some but not all three countries, indicating site-specific variability. meta-analysis identified a single gene pair, / (complement C1q C-chain / T-cell receptor-α variable gene 27) that would consistently predict TB progression in household contacts from multiple African sites but not in infected adolescents without known recent exposure events. Collectively, we developed a simple whole blood-based PCR test to predict TB in recently exposed household contacts from diverse African populations. This test has potential for implementation in national TB contact investigation programs.
结核病(TB)患者的接触者是预防措施的重要目标人群,因为他们感染结核菌并发展为疾病的风险很高。我们研究了对结核病发病具有预测能力的生物标志物。在一项嵌套于“大挑战6-74”纵向队列研究中的病例对照研究中,该队列研究针对非洲暴露于结核病的家庭接触者中的HIV阴性人群,我们采用RNA测序、PCR和配对比率算法进行训练/测试集分析。总体而言,我们调查了79名在索引病例诊断后3至24个月内发展为结核病的进展者,以及328名在24个月随访期间保持健康的匹配非进展者。从南非和冈比亚训练集的样本中得出的一个四转录本标志物,能够在来自南非、冈比亚和埃塞俄比亚的盲法测试集样本中,在疾病发作前两年预测疾病进展,且几乎没有人群相关的变异性,并且在南非潜伏感染的青少年外部队列中也得到了验证。相比之下,已发表的结核病诊断或预后标志物在来自这三个国家中的部分但不是全部国家的样本中得到了预测,表明存在位点特异性变异性。一项荟萃分析确定了一对单一基因,即补体C1q C链/ T细胞受体α可变基因27,它能够一致地预测来自多个非洲地区的家庭接触者中的结核病进展,但不能预测近期无已知暴露事件的感染青少年中的结核病进展。总体而言,我们开发了一种简单的基于全血的PCR检测方法,以预测来自不同非洲人群的近期暴露家庭接触者中的结核病。该检测方法有潜力在国家结核病接触者调查项目中实施。