Complex vaccination strategies prevent the emergence of vaccine resistance.

IF 3.1 2区 环境科学与生态学 Q2 ECOLOGY Evolution Pub Date : 2024-10-01 DOI:10.1093/evolut/qpae106
Simon A Rella, Yuliya A Kulikova, Aygul R Minnegalieva, Fyodor A Kondrashov
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Abstract

Vaccination is the most effective tool to control infectious diseases. However, the evolution of vaccine resistance, exemplified by vaccine resistance in SARS-CoV-2, remains a concern. Here, we model complex vaccination strategies against a pathogen with multiple epitopes-molecules targeted by the vaccine. We found that a vaccine targeting one epitope was ineffective in preventing vaccine escape. Vaccine resistance in highly infectious pathogens was prevented by the full-epitope vaccine, that is, one targeting all available epitopes, but only when the rate of pathogen evolution was low. Strikingly, a bet-hedging strategy of random administration of vaccines targeting different epitopes was the most effective in preventing vaccine resistance in pathogens with the low rate of infection and high rate of evolution. Thus, complex vaccination strategies, when biologically feasible, may be preferable to the currently used single-vaccine approaches for long-term control of disease outbreaks, especially when applied to livestock with near 100% vaccination rates.

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复杂的疫苗接种策略可防止出现疫苗抗药性。
疫苗接种是控制传染病最有效的工具。然而,疫苗抗药性的演变(如 SARS-CoV-2 中的疫苗抗药性)仍然令人担忧。在这里,我们模拟了针对具有多个表位(疫苗所针对的分子)的病原体的复杂疫苗接种策略。我们发现,针对一个表位的疫苗无法有效防止疫苗逃逸。而全表位疫苗(即针对所有可用表位的疫苗)则能防止高传染性病原体的疫苗抗性,但只有在病原体进化速度较低时才能做到这一点。引人注目的是,在感染率低而进化率高的病原体中,随机接种针对不同表位的疫苗的对冲策略在防止疫苗抗药性方面最为有效。因此,在生物学上可行的情况下,复合疫苗接种策略可能比目前使用的单一疫苗接种方法更适合长期控制疾病爆发,尤其是在牲畜的疫苗接种率接近 100%的情况下。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Evolution
Evolution 环境科学-进化生物学
CiteScore
5.00
自引率
9.10%
发文量
0
审稿时长
3-6 weeks
期刊介绍: Evolution, published for the Society for the Study of Evolution, is the premier publication devoted to the study of organic evolution and the integration of the various fields of science concerned with evolution. The journal presents significant and original results that extend our understanding of evolutionary phenomena and processes.
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