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评估疟原虫双耐药和三耐药基因型的出现风险。

Assessing emergence risk of double-resistant and triple-resistant genotypes of Plasmodium falciparum.

机构信息

Center for Infectious Disease Dynamics, Department of Biology, Pennsylvania State University, University Park, PA, USA.

Centre for Tropical Medicine and Global Health, Nuffield Department of Medicine, University of Oxford, Oxford, UK.

出版信息

Nat Commun. 2024 Feb 15;15(1):1390. doi: 10.1038/s41467-024-45547-x.

Abstract

Delaying and slowing antimalarial drug resistance evolution is a priority for malaria-endemic countries. Until novel therapies become available, the mainstay of antimalarial treatment will continue to be artemisinin-based combination therapy (ACT). Deployment of different ACTs can be optimized to minimize evolutionary pressure for drug resistance by deploying them as a set of co-equal multiple first-line therapies (MFT) rather than rotating therapies in and out of use. Here, we consider one potential detriment of MFT policies, namely, that the simultaneous deployment of multiple ACTs could drive the evolution of different resistance alleles concurrently and that these resistance alleles could then be brought together by recombination into double-resistant or triple-resistant parasites. Using an individual-based model, we compare MFT and cycling policies in malaria transmission settings ranging from 0.1% to 50% prevalence. We define a total risk measure for multi-drug resistance (MDR) by summing the area under the genotype-frequency curves (AUC) of double- and triple-resistant genotypes. When prevalence ≥ 1%, total MDR risk ranges from statistically similar to 80% lower under MFT policies than under cycling policies, irrespective of whether resistance is imported or emerges de novo. At 0.1% prevalence, there is little statistical difference in MDR risk between MFT and cycling.

摘要

延缓和减缓抗疟药物耐药性的进化是疟疾流行国家的当务之急。在新的治疗方法问世之前,抗疟治疗的主要方法仍将是青蒿素为基础的联合疗法(ACT)。通过将不同的 ACT 部署为一组同等的一线多种疗法(MFT),而不是将治疗方法轮流使用和停用,可以优化 ACT 的部署,以最大限度地减少耐药性的进化压力。在这里,我们考虑了 MFT 政策的一个潜在缺点,即同时部署多种 ACT 可能会同时推动不同耐药等位基因的进化,而这些耐药等位基因可能会通过重组融合到双重耐药或三重耐药寄生虫中。我们使用基于个体的模型,在从 0.1%到 50%流行率的疟疾传播环境中比较了 MFT 和循环政策。我们通过对双重和三重耐药基因型的基因型频率曲线(AUC)下的面积求和来定义多药耐药(MDR)的总风险度量。当流行率≥1%时,无论耐药性是进口还是新出现的,MFT 政策下的总 MDR 风险范围从统计学上相似到比循环政策低 80%。在流行率为 0.1%时,MFT 和循环之间的 MDR 风险几乎没有统计学差异。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5ac9/10869733/a084b261217e/41467_2024_45547_Fig1_HTML.jpg

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