利用扩增子深度测序、PvAmpSeq、血统识别和基于模型的分类来了解间日疟原虫复发性感染。

Jason Rosado, Jiru Han, Thomas Obadia, Jacob Munro, Zeinabou Traore, Kael Schoffer, Jessica Brewster, Caitlin Bourke, Joseph M Vinetz, Michael White, Melanie Bahlo, Dionicia Gamboa, Ivo Mueller, Shazia Ruybal-Pesántez
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引用次数: 0

摘要

间日疟原虫感染的特点是反复发作血期寄生虫病。了解复发的遗传相关性可以区分这些复发是由复发、再感染还是复发引起的,这对于了解治疗效果和传播动力学至关重要。我们开发了PvAmpseq,一种针对间日疟原虫基因组11个snp丰富区域的扩增子测序方法。PvAmpSeq在来自所罗门群岛临床试验和秘鲁纵向观察队列的现场分离株上进行了验证,并应用统计模型对感染对进行遗传分类。在所罗门群岛试验中,参与者在基线时接受抗疟疾药物治疗,一半的复发感染是由寄生虫引起的,与基线感染的相关性为50%,统计模型分别将25%和25%分类为可能的复发和复发。在秘鲁队列中,26%的复发可能是复发。PvAmpSeq提供高分辨率的基因分型来表征间日疟原虫的复发,为传播和治疗结果提供见解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Understanding Plasmodium vivax recurrent infections using an amplicon deep sequencing assay, PvAmpSeq, identity-by-descent and model-based classification.

Plasmodium vivax infections are characterised by recurrent bouts of blood-stage parasitaemia. Understanding the genetic relatedness of recurrences can distinguish whether these are caused by relapse, reinfection, or recrudescence, which is critical to understand treatment efficacy and transmission dynamics. We developed PvAmpseq, an amplicon sequencing assay targeting 11 SNP-rich regions of the P. vivax genome. PvAmpSeq was validated on field isolates from a clinical trial in the Solomon Islands and a longitudinal observational cohort in Peru, and statistical models were applied for genetic classification of infection pairs. In the Solomon Islands trial, where participants received antimalarials at baseline, half of the recurrent infections were caused by parasites with >50% relatedness to the baseline infection, with statistical models classifying 25% and 25% as probable relapses and recrudescences, respectively. In the Peruvian cohort, 26% of recurrences were likely relapses. PvAmpSeq provides high-resolution genotyping to characterise P. vivax recurrences, offering insights into transmission and treatment outcomes.

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