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抗病毒治疗驱动的致死性诱变的进化安全性。

Evolutionary safety of lethal mutagenesis driven by antiviral treatment.

机构信息

Department of Molecular Genetics, Weizmann Institute of Science, Rehovot, Israel.

Department of Mathematics, Department of Organismic and Evolutionary Biology, Harvard University, Cambridge, Massachusetts, United States of America.

出版信息

PLoS Biol. 2023 Aug 8;21(8):e3002214. doi: 10.1371/journal.pbio.3002214. eCollection 2023 Aug.

DOI:10.1371/journal.pbio.3002214
PMID:37552682
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10409280/
Abstract

Nucleoside analogs are a major class of antiviral drugs. Some act by increasing the viral mutation rate causing lethal mutagenesis of the virus. Their mutagenic capacity, however, may lead to an evolutionary safety concern. We define evolutionary safety as a probabilistic assurance that the treatment will not generate an increased number of mutants. We develop a mathematical framework to estimate the total mutant load produced with and without mutagenic treatment. We predict rates of appearance of such virus mutants as a function of the timing of treatment and the immune competence of patients, employing realistic assumptions about the vulnerability of the viral genome and its potential to generate viable mutants. We focus on the case study of Molnupiravir, which is an FDA-approved treatment against Coronavirus Disease-2019 (COVID-19). We estimate that Molnupiravir is narrowly evolutionarily safe, subject to the current estimate of parameters. Evolutionary safety can be improved by restricting treatment with this drug to individuals with a low immunological clearance rate and, in future, by designing treatments that lead to a greater increase in mutation rate. We report a simple mathematical rule to determine the fold increase in mutation rate required to obtain evolutionary safety that is also applicable to other pathogen-treatment combinations.

摘要

核苷类似物是一大类抗病毒药物。有些药物通过增加病毒的突变率来导致病毒的致死性诱变。然而,它们的诱变能力可能会引发进化安全性的担忧。我们将进化安全性定义为一种概率保证,即治疗不会产生更多的突变体。我们开发了一个数学框架来估计有和没有诱变处理时产生的总突变负荷。我们根据治疗时机和患者的免疫能力,运用关于病毒基因组易感性及其产生可行突变体的潜力的现实假设,来预测此类病毒突变体的出现率。我们关注的是 Molnupiravir 的案例研究,Molnupiravir 是一种获得美国食品和药物管理局批准的治疗 2019 年冠状病毒病(COVID-19)的药物。我们估计,Molnupiravir 在当前参数估计下是一种狭义的进化安全药物。通过将这种药物的治疗限制在免疫清除率低的个体,以及在未来通过设计导致更高突变率的治疗,可以提高进化安全性。我们报告了一个简单的数学规则,以确定获得进化安全性所需的突变率的倍数增加,该规则也适用于其他病原体-治疗组合。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/38a0/10409280/938f30e61c6d/pbio.3002214.g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/38a0/10409280/a6c38fd1abda/pbio.3002214.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/38a0/10409280/db0dbe8dfd51/pbio.3002214.g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/38a0/10409280/24f385a3bd69/pbio.3002214.g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/38a0/10409280/c1de690a2013/pbio.3002214.g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/38a0/10409280/938f30e61c6d/pbio.3002214.g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/38a0/10409280/a6c38fd1abda/pbio.3002214.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/38a0/10409280/db0dbe8dfd51/pbio.3002214.g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/38a0/10409280/24f385a3bd69/pbio.3002214.g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/38a0/10409280/c1de690a2013/pbio.3002214.g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/38a0/10409280/938f30e61c6d/pbio.3002214.g005.jpg

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