Center for Communicable Disease Dynamics, Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, United States of America.
Drugs for Neglected Diseases Initiative. Rio de Janeiro, Brazil.
PLoS Negl Trop Dis. 2022 Nov 21;16(11):e0010828. doi: 10.1371/journal.pntd.0010828. eCollection 2022 Nov.
Currently available drugs against Trypanosoma cruzi infection, which causes 12000 deaths annually, have limitations in their efficacy, safety and tolerability. The evaluation of therapeutic responses to available and new compounds is based on parasite detection in the bloodstream but remains challenging because a substantial proportion of infected individuals have undetectable parasitemia even when using diagnostic tools with the highest accuracy. We characterize parasite dynamics which might impact drug efficacy assessments in chronic Chagas by analyzing pre- and post-treatment quantitative-PCR data obtained from blood samples collected regularly over a year. We show that parasitemia remains at a steady-state independently of the diagnostic sensitivity. This steady-state can be probabilistically quantified and robustly predicted at an individual level. Furthermore, individuals can be assigned to categories with distinct parasitological status, allowing a more detailed evaluation of the efficacy outcomes and adjustment for potential biases. Our analysis improves understanding of parasite dynamics and provides a novel background for optimizing future drug efficacy trials in Chagas disease. Trial Registration: original trial registered with ClinicalTrials.gov, number NCT01489228.
目前针对克氏锥虫感染(每年导致 12000 人死亡)的药物在疗效、安全性和耐受性方面存在局限性。对现有和新型化合物治疗反应的评估基于血流中寄生虫的检测,但仍然具有挑战性,因为即使使用最高精度的诊断工具,相当一部分感染个体的寄生虫血症仍无法检测到。我们通过分析在一年时间内定期采集的血液样本中获得的治疗前后定量 PCR 数据,来描述寄生虫动力学,这些动力学可能会影响慢性恰加斯病药物疗效评估。我们表明,寄生虫血症保持在稳定状态,与诊断灵敏度无关。这种稳定状态可以在个体水平上进行概率量化和稳健预测。此外,可以将个体分配到具有不同寄生虫学状态的类别中,从而可以更详细地评估疗效结果并调整潜在的偏差。我们的分析提高了对寄生虫动力学的理解,并为优化未来恰加斯病药物疗效试验提供了新的背景。
原始试验在 ClinicalTrials.gov 注册,编号为 NCT01489228。