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预测用于治疗 COVID-19 的抗体所识别的病毒突变逃逸情况。

Prospective mapping of viral mutations that escape antibodies used to treat COVID-19.

机构信息

Basic Sciences and Computational Biology, Fred Hutchinson Cancer Research Center, Seattle, WA 98109, USA.

Department of Genome Sciences, University of Washington, Seattle, WA 98109, USA.

出版信息

Science. 2021 Feb 19;371(6531):850-854. doi: 10.1126/science.abf9302. Epub 2021 Jan 25.

Abstract

Antibodies are a potential therapy for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), but the risk of the virus evolving to escape them remains unclear. Here we map how all mutations to the receptor binding domain (RBD) of SARS-CoV-2 affect binding by the antibodies in the REGN-COV2 cocktail and the antibody LY-CoV016. These complete maps uncover a single amino acid mutation that fully escapes the REGN-COV2 cocktail, which consists of two antibodies, REGN10933 and REGN10987, targeting distinct structural epitopes. The maps also identify viral mutations that are selected in a persistently infected patient treated with REGN-COV2 and during in vitro viral escape selections. Finally, the maps reveal that mutations escaping the individual antibodies are already present in circulating SARS-CoV-2 strains. These complete escape maps enable interpretation of the consequences of mutations observed during viral surveillance.

摘要

抗体是严重急性呼吸综合征冠状病毒 2(SARS-CoV-2)的一种潜在治疗方法,但病毒进化以逃避它们的风险尚不清楚。在这里,我们绘制了 SARS-CoV-2 受体结合域(RBD)的所有突变如何影响 REGN-COV2 鸡尾酒和抗体 LY-CoV016 的结合。这些完整的图谱揭示了一个单一的氨基酸突变,完全逃避了 REGN-COV2 鸡尾酒,该鸡尾酒由两种抗体,REGN10933 和 REGN10987,针对不同的结构表位。图谱还确定了在接受 REGN-COV2 治疗的持续性感染患者和体外病毒逃逸选择过程中选择的病毒突变。最后,图谱显示,逃避单个抗体的突变已经存在于循环 SARS-CoV-2 株中。这些完整的逃逸图谱使我们能够解释在病毒监测过程中观察到的突变的后果。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/181c/7963219/3083cd711ba9/371_850_F1.jpg

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