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Parallel profiling of antigenicity alteration and immune escape of SARS-CoV-2 Omicron and other variants
SARS-CoV-2 variants have evolved a variety of critical mutations, leading to antigenicity changes and immune escape. The recent emerging SARS-CoV-2 Omicron variant attracted global attention due to its significant resistance to current antibody therapies and vaccines. Here, we profiled the mutations...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8826850/ https://www.ncbi.nlm.nih.gov/pubmed/35136040 http://dx.doi.org/10.1038/s41392-022-00910-6 |
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author | Sun, Cong Kang, Yin-Feng Liu, Yuan-Tao Kong, Xiang-Wei Xu, Hui-Qin Xiong, Dan Xie, Chu Liu, Yi-Hao Peng, Sui Feng, Guo-Kai Liu, Zheng Zeng, Mu-Sheng |
author_facet | Sun, Cong Kang, Yin-Feng Liu, Yuan-Tao Kong, Xiang-Wei Xu, Hui-Qin Xiong, Dan Xie, Chu Liu, Yi-Hao Peng, Sui Feng, Guo-Kai Liu, Zheng Zeng, Mu-Sheng |
author_sort | Sun, Cong |
collection | PubMed |
description | SARS-CoV-2 variants have evolved a variety of critical mutations, leading to antigenicity changes and immune escape. The recent emerging SARS-CoV-2 Omicron variant attracted global attention due to its significant resistance to current antibody therapies and vaccines. Here, we profiled the mutations of Omicron and other various circulating SARS-CoV-2 variants in parallel by computational interface analysis and in vitro experimental assays. We identified critical mutations that lead to antigenicity changes and diminished neutralization efficiency of a panel of 14 antibodies due to diverse molecular mechanisms influencing the antigen-antibody interaction. Our study identified that Omicron exhibited extraordinary potency in immune escape compared to the other variants of concern, and explores the application of computational interface analysis in SARS-CoV-2 mutation surveillance and demonstrates its potential for the early identification of concerning variants, providing preliminary guidance for neutralizing antibody therapy. |
format | Online Article Text |
id | pubmed-8826850 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-88268502022-02-17 Parallel profiling of antigenicity alteration and immune escape of SARS-CoV-2 Omicron and other variants Sun, Cong Kang, Yin-Feng Liu, Yuan-Tao Kong, Xiang-Wei Xu, Hui-Qin Xiong, Dan Xie, Chu Liu, Yi-Hao Peng, Sui Feng, Guo-Kai Liu, Zheng Zeng, Mu-Sheng Signal Transduct Target Ther Article SARS-CoV-2 variants have evolved a variety of critical mutations, leading to antigenicity changes and immune escape. The recent emerging SARS-CoV-2 Omicron variant attracted global attention due to its significant resistance to current antibody therapies and vaccines. Here, we profiled the mutations of Omicron and other various circulating SARS-CoV-2 variants in parallel by computational interface analysis and in vitro experimental assays. We identified critical mutations that lead to antigenicity changes and diminished neutralization efficiency of a panel of 14 antibodies due to diverse molecular mechanisms influencing the antigen-antibody interaction. Our study identified that Omicron exhibited extraordinary potency in immune escape compared to the other variants of concern, and explores the application of computational interface analysis in SARS-CoV-2 mutation surveillance and demonstrates its potential for the early identification of concerning variants, providing preliminary guidance for neutralizing antibody therapy. Nature Publishing Group UK 2022-02-08 /pmc/articles/PMC8826850/ /pubmed/35136040 http://dx.doi.org/10.1038/s41392-022-00910-6 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Sun, Cong Kang, Yin-Feng Liu, Yuan-Tao Kong, Xiang-Wei Xu, Hui-Qin Xiong, Dan Xie, Chu Liu, Yi-Hao Peng, Sui Feng, Guo-Kai Liu, Zheng Zeng, Mu-Sheng Parallel profiling of antigenicity alteration and immune escape of SARS-CoV-2 Omicron and other variants |
title | Parallel profiling of antigenicity alteration and immune escape of SARS-CoV-2 Omicron and other variants |
title_full | Parallel profiling of antigenicity alteration and immune escape of SARS-CoV-2 Omicron and other variants |
title_fullStr | Parallel profiling of antigenicity alteration and immune escape of SARS-CoV-2 Omicron and other variants |
title_full_unstemmed | Parallel profiling of antigenicity alteration and immune escape of SARS-CoV-2 Omicron and other variants |
title_short | Parallel profiling of antigenicity alteration and immune escape of SARS-CoV-2 Omicron and other variants |
title_sort | parallel profiling of antigenicity alteration and immune escape of sars-cov-2 omicron and other variants |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8826850/ https://www.ncbi.nlm.nih.gov/pubmed/35136040 http://dx.doi.org/10.1038/s41392-022-00910-6 |
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