High-resolution kinetics and cellular determinants of SARS-CoV-2 antibody response over two years after COVID-19 vaccination
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) studies usually rely on cross-sectional data of large cohorts but limited repeated samples, overlooking significant inter-individual antibody kinetic differences. By combining Luminex, activation-induced marker (AIM) and IFN-γ/IL-2 Fluoros...
| Autores: | , , , , , , , , , , , , , , , |
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| Formato: | artículo |
| Estado: | Versión publicada |
| Fecha de publicación: | 2024 |
| País: | España |
| Recursos: | Universitat Pompeu Fabra |
| Repositorio: | Repositorio Digital de la UPF |
| OAI Identifier: | oai:repositori.upf.edu:10230/68883 |
| Acesso em linha: | http://hdl.handle.net/10230/68883 http://dx.doi.org/10.1016/j.micinf.2024.105423 |
| Access Level: | acceso abierto |
| Palavra-chave: | Antibody kinetics COVID-19 vaccine Memory T-cell responses SARS-CoV-2 VoCs |
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High-resolution kinetics and cellular determinants of SARS-CoV-2 antibody response over two years after COVID-19 vaccinationRubio, RocíoMacià, DídacBarrios, DianaVidal, MartaJiménez, AlfonsMolinos-Albert, Luis M.Díaz, NataliaCanyelles, MarLara Escandell, MariaPlanchais, CyrilSantamaria, PereCarolis, CarloIzquierdo, LuisAguilar, RuthMoncunill, GemmaDobaño, CarlotaAntibody kineticsCOVID-19 vaccineMemory T-cell responsesSARS-CoV-2VoCsSevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2) studies usually rely on cross-sectional data of large cohorts but limited repeated samples, overlooking significant inter-individual antibody kinetic differences. By combining Luminex, activation-induced marker (AIM) and IFN-γ/IL-2 Fluorospot assays, we characterized the IgM, IgA, and IgG antibody kinetics using 610 samples from 31 healthy adults over two years after COVID-19 vaccination, and the T-cell responses six months post-booster. Antibody trajectories varied among isotypes: IgG decayed slowly, IgA exhibited an initial sharp decline, which gradually slowed down and stabilized above the seropositivity threshold. Contrarily, IgM rapidly dropped to undetectable levels after primary vaccination. Importantly, three vaccine doses induced higher and more durable anti-spike IgG and IgA levels compared to two doses, whereas infection led to the highest antibody peak and slowest antibody decay rate compared to vaccination. Comparing with ancestral virus, antibody levels recognizing Omicron subvariants had a faster antibody decay. Finally, polyfunctional T cells were positively associated with subsequent IgA responses. These results revealed distinctive antibody patterns by isotype and highlight the benefits of booster doses in enhancing and sustaining antibody responses.This work was supported by the Fundació Privada Daniel Bravo Andreu and by the European Union under grant agreement no. 101046314 (END-VOC). RR had the support of the Health Department, Catalan Government (PERIS SLT017/20/000224). GM was supported by RYC 2020-029886-I/AEI/10.13039/501100011033, co-funded by European Social Fund (ESF). MLE received support from the grant 100046TC21_2022 INV-1 00046 funded by AGAUR/European Union NextGenerationEU/PRTR. PS was supported by PID2021-125493OB-I00 grant from the Spanish Ministry of Science and Innovation. We acknowledge support from the grant CEX2018-000806-S funded by MCIN/AEI/10.13039/501100011033, and support from the Generalitat de Catalunya through the CERCA Program.Elsevier202420242025info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfapplication/pdfhttp://hdl.handle.net/10230/68883http://dx.doi.org/10.1016/j.micinf.2024.105423reponame:Repositorio Digital de la UPFinstname:Universitat Pompeu FabraInglésMicrobes Infect. 2025 Feb;27(2):105423info:eu-repo/grantAgreement/EC/HE/101046314© 2024 The Authors. Published by Elsevier Masson SAS on behalf of Institut Pasteur. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).http://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccessoai:repositori.upf.edu:10230/688832026-06-12T07:21:37Z |
| dc.title.none.fl_str_mv |
High-resolution kinetics and cellular determinants of SARS-CoV-2 antibody response over two years after COVID-19 vaccination |
| title |
High-resolution kinetics and cellular determinants of SARS-CoV-2 antibody response over two years after COVID-19 vaccination |
| spellingShingle |
High-resolution kinetics and cellular determinants of SARS-CoV-2 antibody response over two years after COVID-19 vaccination Rubio, Rocío Antibody kinetics COVID-19 vaccine Memory T-cell responses SARS-CoV-2 VoCs |
| title_short |
High-resolution kinetics and cellular determinants of SARS-CoV-2 antibody response over two years after COVID-19 vaccination |
| title_full |
High-resolution kinetics and cellular determinants of SARS-CoV-2 antibody response over two years after COVID-19 vaccination |
| title_fullStr |
High-resolution kinetics and cellular determinants of SARS-CoV-2 antibody response over two years after COVID-19 vaccination |
| title_full_unstemmed |
High-resolution kinetics and cellular determinants of SARS-CoV-2 antibody response over two years after COVID-19 vaccination |
| title_sort |
High-resolution kinetics and cellular determinants of SARS-CoV-2 antibody response over two years after COVID-19 vaccination |
| dc.creator.none.fl_str_mv |
Rubio, Rocío Macià, Dídac Barrios, Diana Vidal, Marta Jiménez, Alfons Molinos-Albert, Luis M. Díaz, Natalia Canyelles, Mar Lara Escandell, Maria Planchais, Cyril Santamaria, Pere Carolis, Carlo Izquierdo, Luis Aguilar, Ruth Moncunill, Gemma Dobaño, Carlota |
| author |
Rubio, Rocío |
| author_facet |
Rubio, Rocío Macià, Dídac Barrios, Diana Vidal, Marta Jiménez, Alfons Molinos-Albert, Luis M. Díaz, Natalia Canyelles, Mar Lara Escandell, Maria Planchais, Cyril Santamaria, Pere Carolis, Carlo Izquierdo, Luis Aguilar, Ruth Moncunill, Gemma Dobaño, Carlota |
| author_role |
author |
| author2 |
Macià, Dídac Barrios, Diana Vidal, Marta Jiménez, Alfons Molinos-Albert, Luis M. Díaz, Natalia Canyelles, Mar Lara Escandell, Maria Planchais, Cyril Santamaria, Pere Carolis, Carlo Izquierdo, Luis Aguilar, Ruth Moncunill, Gemma Dobaño, Carlota |
| author2_role |
author author author author author author author author author author author author author author author |
| dc.subject.none.fl_str_mv |
Antibody kinetics COVID-19 vaccine Memory T-cell responses SARS-CoV-2 VoCs |
| topic |
Antibody kinetics COVID-19 vaccine Memory T-cell responses SARS-CoV-2 VoCs |
| description |
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) studies usually rely on cross-sectional data of large cohorts but limited repeated samples, overlooking significant inter-individual antibody kinetic differences. By combining Luminex, activation-induced marker (AIM) and IFN-γ/IL-2 Fluorospot assays, we characterized the IgM, IgA, and IgG antibody kinetics using 610 samples from 31 healthy adults over two years after COVID-19 vaccination, and the T-cell responses six months post-booster. Antibody trajectories varied among isotypes: IgG decayed slowly, IgA exhibited an initial sharp decline, which gradually slowed down and stabilized above the seropositivity threshold. Contrarily, IgM rapidly dropped to undetectable levels after primary vaccination. Importantly, three vaccine doses induced higher and more durable anti-spike IgG and IgA levels compared to two doses, whereas infection led to the highest antibody peak and slowest antibody decay rate compared to vaccination. Comparing with ancestral virus, antibody levels recognizing Omicron subvariants had a faster antibody decay. Finally, polyfunctional T cells were positively associated with subsequent IgA responses. These results revealed distinctive antibody patterns by isotype and highlight the benefits of booster doses in enhancing and sustaining antibody responses. |
| publishDate |
2024 |
| dc.date.none.fl_str_mv |
2024 2024 2025 |
| dc.type.none.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion |
| format |
article |
| status_str |
publishedVersion |
| dc.identifier.none.fl_str_mv |
http://hdl.handle.net/10230/68883 http://dx.doi.org/10.1016/j.micinf.2024.105423 |
| url |
http://hdl.handle.net/10230/68883 http://dx.doi.org/10.1016/j.micinf.2024.105423 |
| dc.language.none.fl_str_mv |
Inglés |
| language_invalid_str_mv |
Inglés |
| dc.relation.none.fl_str_mv |
Microbes Infect. 2025 Feb;27(2):105423 info:eu-repo/grantAgreement/EC/HE/101046314 |
| dc.rights.none.fl_str_mv |
http://creativecommons.org/licenses/by-nc-nd/4.0/ info:eu-repo/semantics/openAccess |
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http://creativecommons.org/licenses/by-nc-nd/4.0/ |
| eu_rights_str_mv |
openAccess |
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application/pdf application/pdf |
| dc.publisher.none.fl_str_mv |
Elsevier |
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Elsevier |
| dc.source.none.fl_str_mv |
reponame:Repositorio Digital de la UPF instname:Universitat Pompeu Fabra |
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Universitat Pompeu Fabra |
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Repositorio Digital de la UPF |
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Repositorio Digital de la UPF |
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