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Preceding anti-spike IgG levels predicted risk and severity of COVID-19 during the Omicron-dominant wave in Santa Fe city, Argentina
The SARS-CoV-2 Omicron variant has increased infectivity and immune escape compared with previous variants, and caused the surge of massive COVID-19 waves globally. Despite a vast majority (~90%) of the population of Santa Fe city, Argentina had been vaccinated and/or had been infected by SARS-CoV-2...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Cambridge University Press
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9947048/ https://www.ncbi.nlm.nih.gov/pubmed/36325837 http://dx.doi.org/10.1017/S0950268822001716 |
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author | Eberhardt, Ayelen T. Simoncini, Melina Piña, Carlos Galoppo, Germán Parachú-Marco, Virginia Racca, Andrea Arce, Sofía Viotto, Evangelina Facelli, Florencia Valli, Florencia Botto, Cecilia Scarpa, Leonardo Junges, Celina Palavecino, Cintia Beccaria, Camila Sklar, Diego Mingo, Graciela Genolet, Alicia Muñoz de Toro, Mónica Aimar, Hugo Marignac, Verónica Bossio, Juan Carlos Armando, Gustavo Fernández, Hugo Beldomenico, Pablo M. |
author_facet | Eberhardt, Ayelen T. Simoncini, Melina Piña, Carlos Galoppo, Germán Parachú-Marco, Virginia Racca, Andrea Arce, Sofía Viotto, Evangelina Facelli, Florencia Valli, Florencia Botto, Cecilia Scarpa, Leonardo Junges, Celina Palavecino, Cintia Beccaria, Camila Sklar, Diego Mingo, Graciela Genolet, Alicia Muñoz de Toro, Mónica Aimar, Hugo Marignac, Verónica Bossio, Juan Carlos Armando, Gustavo Fernández, Hugo Beldomenico, Pablo M. |
author_sort | Eberhardt, Ayelen T. |
collection | PubMed |
description | The SARS-CoV-2 Omicron variant has increased infectivity and immune escape compared with previous variants, and caused the surge of massive COVID-19 waves globally. Despite a vast majority (~90%) of the population of Santa Fe city, Argentina had been vaccinated and/or had been infected by SARS-CoV-2 when Omicron emerged, the epidemic wave that followed its arrival was by far the largest one experienced in the city. A serosurvey conducted prior to the arrival of Omicron allowed to assess the acquired humoral defences preceding the wave and to conduct a longitudinal study to provide individual-level real-world data linking antibody levels and protection against COVID-19 during the wave. A very large proportion of 1455 sampled individuals had immunological memory against COVID-19 at the arrival of Omicron (almost 90%), and about half (48.9%) had high anti-spike immunoglobulin G levels (>200 UI/ml). However, the antibody titres varied greatly among the participants, and such variability depended mainly on the vaccine platform received, on having had COVID-19 previously and on the number of days elapsed since last antigen exposure (vaccine shot or natural infection). A follow-up of 514 participants provided real-world evidence of antibody-mediated protection against COVID-19 during a period of high risk of exposure to an immune-escaping highly transmissible variant. Pre-wave antibody titres were strongly negatively associated with COVID-19 incidence and severity of symptoms during the wave. Also, receiving a vaccine shot during the follow-up period reduced the COVID-19 risk drastically (15-fold). These results highlight the importance of maintaining high defences through vaccination at times of high risk of exposure to immune-escaping variants. |
format | Online Article Text |
id | pubmed-9947048 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Cambridge University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-99470482023-02-23 Preceding anti-spike IgG levels predicted risk and severity of COVID-19 during the Omicron-dominant wave in Santa Fe city, Argentina Eberhardt, Ayelen T. Simoncini, Melina Piña, Carlos Galoppo, Germán Parachú-Marco, Virginia Racca, Andrea Arce, Sofía Viotto, Evangelina Facelli, Florencia Valli, Florencia Botto, Cecilia Scarpa, Leonardo Junges, Celina Palavecino, Cintia Beccaria, Camila Sklar, Diego Mingo, Graciela Genolet, Alicia Muñoz de Toro, Mónica Aimar, Hugo Marignac, Verónica Bossio, Juan Carlos Armando, Gustavo Fernández, Hugo Beldomenico, Pablo M. Epidemiol Infect Original Paper The SARS-CoV-2 Omicron variant has increased infectivity and immune escape compared with previous variants, and caused the surge of massive COVID-19 waves globally. Despite a vast majority (~90%) of the population of Santa Fe city, Argentina had been vaccinated and/or had been infected by SARS-CoV-2 when Omicron emerged, the epidemic wave that followed its arrival was by far the largest one experienced in the city. A serosurvey conducted prior to the arrival of Omicron allowed to assess the acquired humoral defences preceding the wave and to conduct a longitudinal study to provide individual-level real-world data linking antibody levels and protection against COVID-19 during the wave. A very large proportion of 1455 sampled individuals had immunological memory against COVID-19 at the arrival of Omicron (almost 90%), and about half (48.9%) had high anti-spike immunoglobulin G levels (>200 UI/ml). However, the antibody titres varied greatly among the participants, and such variability depended mainly on the vaccine platform received, on having had COVID-19 previously and on the number of days elapsed since last antigen exposure (vaccine shot or natural infection). A follow-up of 514 participants provided real-world evidence of antibody-mediated protection against COVID-19 during a period of high risk of exposure to an immune-escaping highly transmissible variant. Pre-wave antibody titres were strongly negatively associated with COVID-19 incidence and severity of symptoms during the wave. Also, receiving a vaccine shot during the follow-up period reduced the COVID-19 risk drastically (15-fold). These results highlight the importance of maintaining high defences through vaccination at times of high risk of exposure to immune-escaping variants. Cambridge University Press 2022-11-03 /pmc/articles/PMC9947048/ /pubmed/36325837 http://dx.doi.org/10.1017/S0950268822001716 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited. |
spellingShingle | Original Paper Eberhardt, Ayelen T. Simoncini, Melina Piña, Carlos Galoppo, Germán Parachú-Marco, Virginia Racca, Andrea Arce, Sofía Viotto, Evangelina Facelli, Florencia Valli, Florencia Botto, Cecilia Scarpa, Leonardo Junges, Celina Palavecino, Cintia Beccaria, Camila Sklar, Diego Mingo, Graciela Genolet, Alicia Muñoz de Toro, Mónica Aimar, Hugo Marignac, Verónica Bossio, Juan Carlos Armando, Gustavo Fernández, Hugo Beldomenico, Pablo M. Preceding anti-spike IgG levels predicted risk and severity of COVID-19 during the Omicron-dominant wave in Santa Fe city, Argentina |
title | Preceding anti-spike IgG levels predicted risk and severity of COVID-19 during the Omicron-dominant wave in Santa Fe city, Argentina |
title_full | Preceding anti-spike IgG levels predicted risk and severity of COVID-19 during the Omicron-dominant wave in Santa Fe city, Argentina |
title_fullStr | Preceding anti-spike IgG levels predicted risk and severity of COVID-19 during the Omicron-dominant wave in Santa Fe city, Argentina |
title_full_unstemmed | Preceding anti-spike IgG levels predicted risk and severity of COVID-19 during the Omicron-dominant wave in Santa Fe city, Argentina |
title_short | Preceding anti-spike IgG levels predicted risk and severity of COVID-19 during the Omicron-dominant wave in Santa Fe city, Argentina |
title_sort | preceding anti-spike igg levels predicted risk and severity of covid-19 during the omicron-dominant wave in santa fe city, argentina |
topic | Original Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9947048/ https://www.ncbi.nlm.nih.gov/pubmed/36325837 http://dx.doi.org/10.1017/S0950268822001716 |
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