A single mRNA immunization boosts cross-variant neutralizing antibodies elicited by SARS-CoV-2 infection
Open accessPreprint — published as 10.1126/science.abg9175 · Paper page
Abstract
Emerging SARS-CoV-2 variants have raised concerns about resistance to neutralizing antibodies elicited by previous infection or vaccination. We examined whether sera from recovered and naïve donors collected prior to, and following immunizations with existing mRNA vaccines, could neutralize the Wuhan-Hu-1 and B.1.351 variants. Pre-vaccination sera from recovered donors neutralized Wuhan-Hu-1 and sporadically neutralized B.1.351, but a single immunization boosted neutralizing titers against all variants and SARS-CoV-1 by up to 1000-fold. Neutralization was due to antibodies targeting the receptor binding domain and was not boosted by a second immunization. Immunization of naïve donors also elicited cross-neutralizing responses, but at lower titers. Our study highlights the importance of vaccinating both uninfected and previously infected persons to elicit cross-variant neutralizing antibodies.
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Convalescent individuals who received mRNA vaccines showed an average increase of 8.6-fold in the number of circulating RBD-specific memory B cells.
“By contrast, and consistent with previous reports5,8,20, individuals who recovered from COVID-19 and received mRNA vaccines showed an average increase of 8.6-fold in the number of circulating RBD-specific memory B cells (Fig. 2a).”
From Naturally enhanced neutralizing breadth against SARS-CoV-2 one year after infection (2021) · cites this paper as [20]
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Sorted by citations
Cele, S., Jackson, L., Khoury, D. S., Khan, K., Moyo-Gwete, T., Tegally, H., San, J. E., Cromer, D., Scheepers, C., Amoako, D., et al. (2021) · doi:10.1101/2021.12.08.21267417 · Cited by 1,333 · see citing works
Naturally enhanced neutralizing breadth against SARS-CoV-2 one year after infection
Wang, Z., Muecksch, F., Schaefer-Babajew, D., Finkin, S., Viant, C., Gaebler, C., Hoffmann, H. H., Barnes, C. O., Cipolla, M., Ramos, V., et al. (2021) · Nature · doi:10.1038/s41586-021-03696-9 · Cited by 721 · see citing works
Goel, R. R., Apostolidis, S. A., Painter, M. M., Mathew, D., Pattekar, A., Kuthuru, O., Gouma, S., Hicks, P., Meng, W., Rosenfeld, A. M., et al. (2021) · Science Immunology · doi:10.1126/sciimmunol.abi6950 · Cited by 655 · see citing works
Cromer, D., Steain, M., Reynaldi, A., Schlub, T. E., Wheatley, A. K., Juno, J. A., Kent, S. J., Triccas, J. A., Khoury, D. S., & Davenport, M. P. (2022) · The Lancet Microbe · doi:10.1016/s2666-5247(21)00267-6 · Cited by 590 · see citing works
Structural and functional ramifications of antigenic drift in recent SARS-CoV-2 variants
Yuan, M., Huang, D., Lee, C.-C. D., Wu, N. C., Jackson, A. M., Zhu, X., Liu, H., Peng, L., van Gils, M. J., Sanders, R. W., et al. (2021) · doi:10.1101/2021.02.16.430500 · Cited by 364 · see citing works
Imprinted antibody responses against SARS-CoV-2 Omicron sublineages
Park, Y.-J., Pinto, D., Walls, A. C., Liu, Z., De Marco, A., Benigni, F., Zatta, F., Silacci-Fregni, C., Bassi, J., Sprouse, K. R., et al. (2022) · doi:10.1101/2022.05.08.491108 · Cited by 251 · see citing works
- Authors
- Stamatatos, L., Czartoski, J., Wan, Y.-H., Homad, L. J., Rubin, V., Glantz, H., Neradilek, M., Seydoux, E., Jennewein, M. F., MacCamy, A. J., Feng, J., Mize, G., De Rosa, S. C., Finzi, A., Lemos, M. P., Cohen, K. W., Moodie, Z., McElrath, M. J., & McGuire, A. T.
- Affiliations
- University of Washington (US)
- Fred Hutch Cancer Center (US)
- Centre Hospitalier de l’Université de Montréal (CA)
- Corresponding author
- Stamatatos, Leonidas
- McElrath, M. Juliana
- McGuire, Andrew T.
- ORCID
- Venue
- Science
- Publisher
- openRxiv
- Published
- 2021-02-08
- Volume
- 372
- Issue
- 6549
- Pages
- 1413-1418
- ISSN
- 0036-8075 (ISSN-L)
- PMC
- PMC7987032
- OpenAlex
- W3136570200
- Cited by
- 559
- References
- 55
- Citations by year
- 2026: 14 · 2025: 35 · 2024: 49 · 2023: 72 · 2022: 212 · 2021: 176
- FWCI
- 40.19
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- cc-by
- Locations
- Science (publishedVersion, cc-by)
- medRxiv (acceptedVersion, cc-by-nc-nd)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- PubMed Central (submittedVersion, cc-by-nc-nd)
- Funders
- Paul G. Allen Family Foundation
- Fred Hutchinson Cancer Research Center (UM1 AI068618)
- National Institute of Allergy and Infectious Diseases (COVID-19, AI-068618, UM1A057266-S1, AI069481, UM1AI068618, UM1AI068635, UM1AI069481, U19AI057266)
- Topics
- Health Sciences › Medicine › Infectious Diseases › SARS-CoV-2 and COVID-19 Research
- Life Sciences › Immunology and Microbiology › Immunology › Immune responses and vaccinations
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › vaccines and immunoinformatics approaches
- Keywords
- mRNA vaccines, SARS-CoV-2, booster vaccination, B.1.351 variant, reinfection protection, memory B cells, antibody neutralization
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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