Emory Vaccine Center, Emory University, Atlanta, GA.
Department of Biostatistics and Bioinformatics, Rollins School of Public Health, Emory University, Atlanta, GA.
J Acquir Immune Defic Syndr. 2021 Feb 1;86(2):157-163. doi: 10.1097/QAI.0000000000002536.
Helminth infections can modulate immunity to Mycobacterium tuberculosis (Mtb). However, the effect of helminths, including Schistosoma mansoni (SM), on Mtb infection outcomes is less clear. Furthermore, HIV is a known risk factor for tuberculosis (TB) disease and has been implicated in SM pathogenesis. Therefore, it is important to evaluate whether HIV modifies the association between SM and Mtb infection.
HIV-infected and HIV-uninfected adults were enrolled in Kisumu County, Kenya, between 2014 and 2017 and categorized into 3 groups based on Mtb infection status: Mtb-uninfected healthy controls, latent TB infection (LTBI), and active TB disease. Participants were subsequently evaluated for infection with SM.
We used targeted minimum loss estimation and super learning to estimate a covariate-adjusted association between SM and Mtb infection outcomes, defined as the probability of being Mtb-uninfected healthy controls, LTBI, or TB. HIV status was evaluated as an effect modifier of this association.
SM was not associated with differences in baseline demographic or clinical features of participants in this study, nor with additional parasitic infections. Covariate-adjusted analyses indicated that infection with SM was associated with a 4% higher estimated proportion of active TB cases in HIV-uninfected individuals and a 14% higher estimated proportion of active TB cases in HIV-infected individuals. There were no differences in estimated proportions of LTBI cases.
We provide evidence that SM infection is associated with a higher probability of active TB disease, particularly in HIV-infected individuals.
寄生虫感染可以调节对结核分枝杆菌(Mtb)的免疫。然而,包括曼氏血吸虫(SM)在内的寄生虫对 Mtb 感染结果的影响尚不清楚。此外,HIV 是结核病(TB)发病的已知危险因素,并与 SM 发病机制有关。因此,评估 HIV 是否改变 SM 与 Mtb 感染之间的关系非常重要。
2014 年至 2017 年间,肯尼亚基苏木县招募了 HIV 感染者和 HIV 未感染者,并根据 Mtb 感染状况将其分为 3 组:Mtb 未感染的健康对照者、潜伏性结核感染(LTBI)和活动性结核病。随后对参与者进行了 SM 感染评估。
我们使用有针对性的最小损失估计和超级学习来估计 SM 与 Mtb 感染结果之间的协变量调整关联,该关联定义为成为 Mtb 未感染的健康对照者、LTBI 或 TB 的概率。评估了 HIV 状态对这种关联的修饰作用。
SM 与研究参与者的基线人口统计学或临床特征以及其他寄生虫感染均无差异。调整协变量的分析表明,在 HIV 未感染者中,SM 感染与活动性 TB 病例的估计比例增加 4%相关,在 HIV 感染者中,SM 感染与活动性 TB 病例的估计比例增加 14%相关。LTBI 病例的估计比例没有差异。
我们提供的证据表明,SM 感染与活动性结核病的概率增加有关,尤其是在 HIV 感染者中。