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Distinct receptor binding domain IgG thresholds predict protective host immunity across SARS-CoV-2 variants and time
SARS-CoV-2 neutralising antibodies provide protection against COVID-19. Evidence from early vaccine trials suggested binding antibody thresholds could serve as surrogate markers of neutralising capacity, but whether these thresholds predict sufficient neutralising capacity against variants of concer...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10622572/ https://www.ncbi.nlm.nih.gov/pubmed/37919289 http://dx.doi.org/10.1038/s41467-023-42717-1 |
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author | Kenny, Grace O’Reilly, Sophie Wrigley Kelly, Neil Negi, Riya Gaillard, Colette Alalwan, Dana Saini, Gurvin Alrawahneh, Tamara Francois, Nathan Angeliadis, Matthew Garcia Leon, Alejandro Abner Tinago, Willard Feeney, Eoin R. Cotter, Aoife G. de Barra, Eoghan Yousif, Obada Horgan, Mary Doran, Peter Stemler, Jannik Koehler, Philipp Cox, Rebecca Jane O’Shea, Donal Olesen, Ole F. Landay, Alan Hogan, Andrew E. Lelievre, Jean-Daniel Gautier, Virginie Cornely, Oliver A. Mallon, Patrick W. G. |
author_facet | Kenny, Grace O’Reilly, Sophie Wrigley Kelly, Neil Negi, Riya Gaillard, Colette Alalwan, Dana Saini, Gurvin Alrawahneh, Tamara Francois, Nathan Angeliadis, Matthew Garcia Leon, Alejandro Abner Tinago, Willard Feeney, Eoin R. Cotter, Aoife G. de Barra, Eoghan Yousif, Obada Horgan, Mary Doran, Peter Stemler, Jannik Koehler, Philipp Cox, Rebecca Jane O’Shea, Donal Olesen, Ole F. Landay, Alan Hogan, Andrew E. Lelievre, Jean-Daniel Gautier, Virginie Cornely, Oliver A. Mallon, Patrick W. G. |
author_sort | Kenny, Grace |
collection | PubMed |
description | SARS-CoV-2 neutralising antibodies provide protection against COVID-19. Evidence from early vaccine trials suggested binding antibody thresholds could serve as surrogate markers of neutralising capacity, but whether these thresholds predict sufficient neutralising capacity against variants of concern (VOCs), and whether this is impacted by vaccine or infection history remains unclear. Here we analyse individuals recovered from, vaccinated or with hybrid immunity against SARS-CoV-2. An NT50 ≥ 100 IU confers protection in vaccine trials, however, as VOC induce a reduction in NT50, we use NT50 ≥ 1000 IU as a cut off for WT NT50 that would retain neutralisation against VOC. In unvaccinated convalescent participants, a receptor binding domain (RBD) IgG of 456 BAU/mL predicts an NT50 against WT of 1000 IU with an accuracy of 80% (95%CI 73–86%). This threshold maintains accuracy in determining loss of protective immunity against VOC in two vaccinated cohorts. It predicts an NT50 < 100 IU against Beta with an accuracy of 80% (95%CI 67–89%) in 2 vaccine dose recipients. In booster vaccine recipients with a history of COVID-19 (hybrid immunity), accuracy is 87% (95%CI 77–94%) in determining an NT50 of <100 IU against BA.5. This analysis provides a discrete threshold that could be used in future clinical studies. |
format | Online Article Text |
id | pubmed-10622572 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-106225722023-11-04 Distinct receptor binding domain IgG thresholds predict protective host immunity across SARS-CoV-2 variants and time Kenny, Grace O’Reilly, Sophie Wrigley Kelly, Neil Negi, Riya Gaillard, Colette Alalwan, Dana Saini, Gurvin Alrawahneh, Tamara Francois, Nathan Angeliadis, Matthew Garcia Leon, Alejandro Abner Tinago, Willard Feeney, Eoin R. Cotter, Aoife G. de Barra, Eoghan Yousif, Obada Horgan, Mary Doran, Peter Stemler, Jannik Koehler, Philipp Cox, Rebecca Jane O’Shea, Donal Olesen, Ole F. Landay, Alan Hogan, Andrew E. Lelievre, Jean-Daniel Gautier, Virginie Cornely, Oliver A. Mallon, Patrick W. G. Nat Commun Article SARS-CoV-2 neutralising antibodies provide protection against COVID-19. Evidence from early vaccine trials suggested binding antibody thresholds could serve as surrogate markers of neutralising capacity, but whether these thresholds predict sufficient neutralising capacity against variants of concern (VOCs), and whether this is impacted by vaccine or infection history remains unclear. Here we analyse individuals recovered from, vaccinated or with hybrid immunity against SARS-CoV-2. An NT50 ≥ 100 IU confers protection in vaccine trials, however, as VOC induce a reduction in NT50, we use NT50 ≥ 1000 IU as a cut off for WT NT50 that would retain neutralisation against VOC. In unvaccinated convalescent participants, a receptor binding domain (RBD) IgG of 456 BAU/mL predicts an NT50 against WT of 1000 IU with an accuracy of 80% (95%CI 73–86%). This threshold maintains accuracy in determining loss of protective immunity against VOC in two vaccinated cohorts. It predicts an NT50 < 100 IU against Beta with an accuracy of 80% (95%CI 67–89%) in 2 vaccine dose recipients. In booster vaccine recipients with a history of COVID-19 (hybrid immunity), accuracy is 87% (95%CI 77–94%) in determining an NT50 of <100 IU against BA.5. This analysis provides a discrete threshold that could be used in future clinical studies. Nature Publishing Group UK 2023-11-02 /pmc/articles/PMC10622572/ /pubmed/37919289 http://dx.doi.org/10.1038/s41467-023-42717-1 Text en © The Author(s) 2023 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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Kenny, Grace O’Reilly, Sophie Wrigley Kelly, Neil Negi, Riya Gaillard, Colette Alalwan, Dana Saini, Gurvin Alrawahneh, Tamara Francois, Nathan Angeliadis, Matthew Garcia Leon, Alejandro Abner Tinago, Willard Feeney, Eoin R. Cotter, Aoife G. de Barra, Eoghan Yousif, Obada Horgan, Mary Doran, Peter Stemler, Jannik Koehler, Philipp Cox, Rebecca Jane O’Shea, Donal Olesen, Ole F. Landay, Alan Hogan, Andrew E. Lelievre, Jean-Daniel Gautier, Virginie Cornely, Oliver A. Mallon, Patrick W. G. Distinct receptor binding domain IgG thresholds predict protective host immunity across SARS-CoV-2 variants and time |
title | Distinct receptor binding domain IgG thresholds predict protective host immunity across SARS-CoV-2 variants and time |
title_full | Distinct receptor binding domain IgG thresholds predict protective host immunity across SARS-CoV-2 variants and time |
title_fullStr | Distinct receptor binding domain IgG thresholds predict protective host immunity across SARS-CoV-2 variants and time |
title_full_unstemmed | Distinct receptor binding domain IgG thresholds predict protective host immunity across SARS-CoV-2 variants and time |
title_short | Distinct receptor binding domain IgG thresholds predict protective host immunity across SARS-CoV-2 variants and time |
title_sort | distinct receptor binding domain igg thresholds predict protective host immunity across sars-cov-2 variants and time |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10622572/ https://www.ncbi.nlm.nih.gov/pubmed/37919289 http://dx.doi.org/10.1038/s41467-023-42717-1 |
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