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抗体逃逸、血清型形成风险和快速免疫衰减:模拟 SARS-CoV-2 免疫逃逸的影响。

Antibody escape, the risk of serotype formation, and rapid immune waning: Modeling the implications of SARS-CoV-2 immune evasion.

机构信息

Boston University, Boston, MA, United States of America.

Stanford University School of Medicine, Stanford, CA, United States of America.

出版信息

PLoS One. 2023 Oct 18;18(10):e0292099. doi: 10.1371/journal.pone.0292099. eCollection 2023.

Abstract

As the COVID-19 pandemic progresses, widespread community transmission of SARS-CoV-2 has ushered in a volatile era of viral immune evasion rather than the much-heralded stability of "endemicity" or "herd immunity." At this point, an array of viral strains has rendered essentially all monoclonal antibody therapeutics obsolete and strongly undermined the impact of vaccinal immunity on SARS-CoV-2 transmission. In this work, we demonstrate that antibody escape resulting in evasion of pre-existing immunity is highly evolutionarily favored and likely to cause waves of short-term transmission. In the long-term, invading strains that induce weak cross-immunity against pre-existing strains may co-circulate with those pre-existing strains. This would result in the formation of serotypes that increase disease burden, complicate SARS-CoV-2 control, and raise the potential for increases in viral virulence. Less durable immunity does not drive positive selection as a trait, but such strains may transmit at high levels if they establish. Overall, our results draw attention to the importance of inter-strain cross-immunity as a driver of transmission trends and the importance of early immune evasion data to predict the trajectory of the pandemic.

摘要

随着 COVID-19 大流行的进展,SARS-CoV-2 在社区中的广泛传播带来了一个病毒免疫逃逸的不稳定时代,而不是此前广受期待的“地方性”或“群体免疫”的稳定状态。此时,一系列病毒株已经使基本上所有的单克隆抗体治疗药物失效,并严重削弱了疫苗接种免疫对 SARS-CoV-2 传播的影响。在这项工作中,我们证明了导致逃避先前存在的免疫的抗体逃逸具有高度的进化优势,并可能导致短期传播的浪潮。从长远来看,诱导针对先前存在的菌株的弱交叉免疫的入侵菌株可能与那些先前存在的菌株共同循环。这将导致增加疾病负担的血清型的形成,使 SARS-CoV-2 的控制变得复杂,并增加病毒毒力增加的可能性。不太持久的免疫不会作为一种特征驱动正选择,但如果这些菌株建立起来,它们可能会以高水平传播。总的来说,我们的研究结果引起了对菌株间交叉免疫作为传播趋势驱动因素的重要性的关注,以及对早期免疫逃逸数据预测大流行轨迹的重要性的关注。

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