抗病毒治疗驱动的致命突变的进化安全性。

IF 7.8 1区 生物学 Q1 BIOCHEMISTRY & MOLECULAR BIOLOGY
PLoS Biology Pub Date : 2023-08-08 eCollection Date: 2023-08-01 DOI:10.1371/journal.pbio.3002214
Gabriela Lobinska, Yitzhak Pilpel, Martin A Nowak
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引用次数: 0

摘要

核苷类似物是一类主要的抗病毒药物。其中一些类似物通过增加病毒突变率,对病毒产生致命的诱变作用。然而,它们的诱变能力可能会导致进化安全性问题。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。我们建立了一个数学框架,用于估算在有诱变处理和没有诱变处理的情况下产生的突变体总量。我们预测这种病毒突变体的出现率是治疗时机和患者免疫能力的函数,并对病毒基因组的脆弱性及其产生可行突变体的潜力做出了现实的假设。我们将重点放在莫能吡韦的案例研究上,莫能吡韦是美国食品及药物管理局批准的一种针对冠状病毒病-2019(COVID-19)的治疗方法。我们估计,根据目前的参数估计,莫能吡韦在进化上具有一定的安全性。通过限制免疫清除率较低的个体使用这种药物进行治疗,以及在未来设计会导致突变率增加的治疗方法,可以提高进化安全性。我们报告了一个简单的数学规则,用于确定获得进化安全性所需的突变率增加倍数,该规则也适用于其他病原体-治疗组合。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Evolutionary safety of lethal mutagenesis driven by antiviral treatment.

Evolutionary safety of lethal mutagenesis driven by antiviral treatment.

Evolutionary safety of lethal mutagenesis driven by antiviral treatment.

Evolutionary safety of lethal mutagenesis driven by antiviral treatment.

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.

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来源期刊
PLoS Biology
PLoS Biology 生物-生化与分子生物学
CiteScore
14.40
自引率
2.00%
发文量
359
审稿时长
3 months
期刊介绍: PLOS Biology is an open-access, peer-reviewed general biology journal published by PLOS, a nonprofit organization of scientists and physicians dedicated to making the world's scientific and medical literature freely accessible. The journal publishes new articles online weekly, with issues compiled and published monthly. ISSN Numbers: eISSN: 1545-7885 ISSN: 1544-9173
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