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Development of a T cell-based immunodiagnostic system to effectively distinguish SARS-CoV-2 infection and COVID-19 vaccination status
Both SARS-CoV-2 infections and COVID-19 vaccines elicit memory T cell responses. Here, we report the development of 2 pools of experimentally defined SARS-CoV-2 T cell epitopes that, in combination with spike, were used to discriminate 4 groups of subjects with different SARS-CoV-2 infection and COV...
Autores principales: | , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier Inc.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8824221/ https://www.ncbi.nlm.nih.gov/pubmed/35172129 http://dx.doi.org/10.1016/j.chom.2022.02.003 |
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author | Yu, Esther Dawen Wang, Eric Garrigan, Emily Goodwin, Benjamin Sutherland, Aaron Tarke, Alison Chang, James Gálvez, Rosa Isela Mateus, Jose Ramirez, Sydney I. Rawlings, Stephen A. Smith, Davey M. Filaci, Gilberto Frazier, April Weiskopf, Daniela Dan, Jennifer M. Crotty, Shane Grifoni, Alba Sette, Alessandro da Silva Antunes, Ricardo |
author_facet | Yu, Esther Dawen Wang, Eric Garrigan, Emily Goodwin, Benjamin Sutherland, Aaron Tarke, Alison Chang, James Gálvez, Rosa Isela Mateus, Jose Ramirez, Sydney I. Rawlings, Stephen A. Smith, Davey M. Filaci, Gilberto Frazier, April Weiskopf, Daniela Dan, Jennifer M. Crotty, Shane Grifoni, Alba Sette, Alessandro da Silva Antunes, Ricardo |
author_sort | Yu, Esther Dawen |
collection | PubMed |
description | Both SARS-CoV-2 infections and COVID-19 vaccines elicit memory T cell responses. Here, we report the development of 2 pools of experimentally defined SARS-CoV-2 T cell epitopes that, in combination with spike, were used to discriminate 4 groups of subjects with different SARS-CoV-2 infection and COVID-19 vaccine status. The overall T cell-based classification accuracy was 89.2% and 88.5% in the experimental and validation cohorts. This scheme was applicable to different mRNA vaccines and different lengths of time post infection/post vaccination and yielded increased accuracy when compared to serological readouts. T cell responses from breakthrough infections were also studied and effectively segregated from vaccine responses, with a combined performance of 86.6% across all 239 subjects from the 5 groups. We anticipate that a T cell-based immunodiagnostic scheme to classify subjects based on their vaccination and natural infection history will be an important tool for longitudinal monitoring of vaccinations and for establishing SARS-CoV-2 correlates of protection. |
format | Online Article Text |
id | pubmed-8824221 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Elsevier Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-88242212022-02-09 Development of a T cell-based immunodiagnostic system to effectively distinguish SARS-CoV-2 infection and COVID-19 vaccination status Yu, Esther Dawen Wang, Eric Garrigan, Emily Goodwin, Benjamin Sutherland, Aaron Tarke, Alison Chang, James Gálvez, Rosa Isela Mateus, Jose Ramirez, Sydney I. Rawlings, Stephen A. Smith, Davey M. Filaci, Gilberto Frazier, April Weiskopf, Daniela Dan, Jennifer M. Crotty, Shane Grifoni, Alba Sette, Alessandro da Silva Antunes, Ricardo Cell Host Microbe Article Both SARS-CoV-2 infections and COVID-19 vaccines elicit memory T cell responses. Here, we report the development of 2 pools of experimentally defined SARS-CoV-2 T cell epitopes that, in combination with spike, were used to discriminate 4 groups of subjects with different SARS-CoV-2 infection and COVID-19 vaccine status. The overall T cell-based classification accuracy was 89.2% and 88.5% in the experimental and validation cohorts. This scheme was applicable to different mRNA vaccines and different lengths of time post infection/post vaccination and yielded increased accuracy when compared to serological readouts. T cell responses from breakthrough infections were also studied and effectively segregated from vaccine responses, with a combined performance of 86.6% across all 239 subjects from the 5 groups. We anticipate that a T cell-based immunodiagnostic scheme to classify subjects based on their vaccination and natural infection history will be an important tool for longitudinal monitoring of vaccinations and for establishing SARS-CoV-2 correlates of protection. Elsevier Inc. 2022-03-09 2022-02-08 /pmc/articles/PMC8824221/ /pubmed/35172129 http://dx.doi.org/10.1016/j.chom.2022.02.003 Text en © 2022 Elsevier Inc. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active. |
spellingShingle | Article Yu, Esther Dawen Wang, Eric Garrigan, Emily Goodwin, Benjamin Sutherland, Aaron Tarke, Alison Chang, James Gálvez, Rosa Isela Mateus, Jose Ramirez, Sydney I. Rawlings, Stephen A. Smith, Davey M. Filaci, Gilberto Frazier, April Weiskopf, Daniela Dan, Jennifer M. Crotty, Shane Grifoni, Alba Sette, Alessandro da Silva Antunes, Ricardo Development of a T cell-based immunodiagnostic system to effectively distinguish SARS-CoV-2 infection and COVID-19 vaccination status |
title | Development of a T cell-based immunodiagnostic system to effectively distinguish SARS-CoV-2 infection and COVID-19 vaccination status |
title_full | Development of a T cell-based immunodiagnostic system to effectively distinguish SARS-CoV-2 infection and COVID-19 vaccination status |
title_fullStr | Development of a T cell-based immunodiagnostic system to effectively distinguish SARS-CoV-2 infection and COVID-19 vaccination status |
title_full_unstemmed | Development of a T cell-based immunodiagnostic system to effectively distinguish SARS-CoV-2 infection and COVID-19 vaccination status |
title_short | Development of a T cell-based immunodiagnostic system to effectively distinguish SARS-CoV-2 infection and COVID-19 vaccination status |
title_sort | development of a t cell-based immunodiagnostic system to effectively distinguish sars-cov-2 infection and covid-19 vaccination status |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8824221/ https://www.ncbi.nlm.nih.gov/pubmed/35172129 http://dx.doi.org/10.1016/j.chom.2022.02.003 |
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