Antigen presentation dynamics shape the antibody response to variants like SARS-CoV-2 Omicron after multiple vaccinations with the original strain
The Omicron variant of SARS-CoV-2 is not effectively neutralized by most antibodies elicited by two doses of mRNA vaccines, but a third dose increases anti-Omicron neutralizing antibodies. We reveal mechanisms underlying this observation by combining computational modeling with data from vaccinated...
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Format: | Article |
Language: | English |
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Elsevier BV
2024
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Online Access: | https://hdl.handle.net/1721.1/157791 |
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author | Yang, Leerang Van Beek, Matthew Wang, Zijun Muecksch, Frauke Canis, Marie Hatziioannou, Theodora Bieniasz, Paul D Nussenzweig, Michel C Chakraborty, Arup K |
author2 | Massachusetts Institute of Technology. Department of Chemical Engineering |
author_facet | Massachusetts Institute of Technology. Department of Chemical Engineering Yang, Leerang Van Beek, Matthew Wang, Zijun Muecksch, Frauke Canis, Marie Hatziioannou, Theodora Bieniasz, Paul D Nussenzweig, Michel C Chakraborty, Arup K |
author_sort | Yang, Leerang |
collection | MIT |
description | The Omicron variant of SARS-CoV-2 is not effectively neutralized by most antibodies elicited by two doses of mRNA vaccines, but a third dose increases anti-Omicron neutralizing antibodies. We reveal mechanisms underlying this observation by combining computational modeling with data from vaccinated humans. After the first dose, limited antigen availability in germinal centers (GCs) results in a response dominated by B cells that target immunodominant epitopes that are mutated in an Omicron-like variant. After the second dose, these memory cells expand and differentiate into plasma cells that secrete antibodies that are thus ineffective for such variants. However, these pre-existing antigen-specific antibodies transport antigen efficiently to secondary GCs. They also partially mask immunodominant epitopes. Enhanced antigen availability and epitope masking in secondary GCs together result in generation of memory B cells that target subdominant epitopes that are less mutated in Omicron. The third dose expands these cells and boosts anti-variant neutralizing antibodies. |
first_indexed | 2025-02-19T04:26:07Z |
format | Article |
id | mit-1721.1/157791 |
institution | Massachusetts Institute of Technology |
language | English |
last_indexed | 2025-02-19T04:26:07Z |
publishDate | 2024 |
publisher | Elsevier BV |
record_format | dspace |
spelling | mit-1721.1/1577912025-01-06T04:12:01Z Antigen presentation dynamics shape the antibody response to variants like SARS-CoV-2 Omicron after multiple vaccinations with the original strain Yang, Leerang Van Beek, Matthew Wang, Zijun Muecksch, Frauke Canis, Marie Hatziioannou, Theodora Bieniasz, Paul D Nussenzweig, Michel C Chakraborty, Arup K Massachusetts Institute of Technology. Department of Chemical Engineering Massachusetts Institute of Technology. Department of Physics Massachusetts Institute of Technology. Department of Chemistry Massachusetts Institute of Technology. Institute for Medical Engineering & Science Ragon Institute of MGH, MIT and Harvard The Omicron variant of SARS-CoV-2 is not effectively neutralized by most antibodies elicited by two doses of mRNA vaccines, but a third dose increases anti-Omicron neutralizing antibodies. We reveal mechanisms underlying this observation by combining computational modeling with data from vaccinated humans. After the first dose, limited antigen availability in germinal centers (GCs) results in a response dominated by B cells that target immunodominant epitopes that are mutated in an Omicron-like variant. After the second dose, these memory cells expand and differentiate into plasma cells that secrete antibodies that are thus ineffective for such variants. However, these pre-existing antigen-specific antibodies transport antigen efficiently to secondary GCs. They also partially mask immunodominant epitopes. Enhanced antigen availability and epitope masking in secondary GCs together result in generation of memory B cells that target subdominant epitopes that are less mutated in Omicron. The third dose expands these cells and boosts anti-variant neutralizing antibodies. 2024-12-06T20:38:22Z 2024-12-06T20:38:22Z 2023-04 2024-12-06T20:25:24Z Article http://purl.org/eprint/type/JournalArticle https://hdl.handle.net/1721.1/157791 Yang, Leerang, Van Beek, Matthew, Wang, Zijun, Muecksch, Frauke, Canis, Marie et al. 2023. "Antigen presentation dynamics shape the antibody response to variants like SARS-CoV-2 Omicron after multiple vaccinations with the original strain." Cell Reports, 42 (4). en 10.1016/j.celrep.2023.112256 Cell Reports Creative Commons Attribution-NonCommercial-NoDerivs https://creativecommons.org/licenses/by-nc-nd/4.0/ application/pdf Elsevier BV Elsevier |
spellingShingle | Yang, Leerang Van Beek, Matthew Wang, Zijun Muecksch, Frauke Canis, Marie Hatziioannou, Theodora Bieniasz, Paul D Nussenzweig, Michel C Chakraborty, Arup K Antigen presentation dynamics shape the antibody response to variants like SARS-CoV-2 Omicron after multiple vaccinations with the original strain |
title | Antigen presentation dynamics shape the antibody response to variants like SARS-CoV-2 Omicron after multiple vaccinations with the original strain |
title_full | Antigen presentation dynamics shape the antibody response to variants like SARS-CoV-2 Omicron after multiple vaccinations with the original strain |
title_fullStr | Antigen presentation dynamics shape the antibody response to variants like SARS-CoV-2 Omicron after multiple vaccinations with the original strain |
title_full_unstemmed | Antigen presentation dynamics shape the antibody response to variants like SARS-CoV-2 Omicron after multiple vaccinations with the original strain |
title_short | Antigen presentation dynamics shape the antibody response to variants like SARS-CoV-2 Omicron after multiple vaccinations with the original strain |
title_sort | antigen presentation dynamics shape the antibody response to variants like sars cov 2 omicron after multiple vaccinations with the original strain |
url | https://hdl.handle.net/1721.1/157791 |
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