Evidence for antibody as a protective correlate for COVID-19 vaccines
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Abstract
A correlate of protection (CoP) is urgently needed to expedite development of additional COVID-19 vaccines to meet unprecedented global demand. To assess whether antibody titers may reasonably predict efficacy and serve as the basis of a CoP, we evaluated the relationship between efficacy and in vitro neutralizing and binding antibodies of 7 vaccines for which sufficient data have been generated. Once calibrated to titers of human convalescent sera reported in each study, a robust correlation was seen between neutralizing titer and efficacy (ρ = 0.79) and binding antibody titer and efficacy (ρ = 0.93), despite geographically diverse study populations subject to different forces of infection and circulating variants, and use of different endpoints, assays, convalescent sera panels and manufacturing platforms. Together with evidence from natural history studies and animal models, these results support the use of post-immunization antibody titers as the basis for establishing a correlate of protection for COVID-19 vaccines.
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The neutralization level is highly predictive of immune protection.
“Recently, Khoury et al.20 and Earle et al.21 determined that the neutralization level is highly predictive of immune protection in comparing population values from vaccine efficacy and immunogenicity trials.”
From Covid-19 Breakthrough Infections in Vaccinated Health Care Workers (2021) · cites this paper as [21]
Neutralization of wild type SARS-CoV-2 has been shown to predict the effectiveness of vaccines against variants.
“However, while neutralization of wild type SARS-CoV-2 has been shown to predict the effectiveness of vaccines against variants (Earle et al., 2021; Khoury et al., 2021)”
From mRNA-based COVID-19 vaccine boosters induce neutralizing immunity against SARS-CoV-2 Omicron variant (2022) · cites this paper as Earle et al., 2021
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Cites
An mRNA Vaccine against SARS-CoV-2 — Preliminary Report
Jackson, L. A., Anderson, E. J., Rouphael, N. G., Roberts, P. C., Makhene, M., Coler, R. N., McCullough, M. P., Chappell, J. D., Denison, M. R., Stevens, L. J., et al. (2020) · New England Journal of Medicine · doi:10.1056/nejmoa2022483 · Cited by 3,237 · cited 1× · see citing works
“This suggests either relatively low neutralization assay sensitivity or non-neutralizing antibodies and T cell responses may be functionally important, which is supported by the evidence that binding antibody titers appear robust at the same post-Dose 1 time points [11,12] and that Fc functional antibody responses pla…”
Efficacy of the ChAdOx1 nCoV-19 Covid-19 Vaccine against the B.1.351 Variant
Madhi, S. A., Baillie, V., Cutland, C. L., Voysey, M., Koen, A. L., Fairlie, L., Padayachee, S. D., Dheda, K., Barnabas, S. L., Bhorat, Q. E., et al. (2021) · New England Journal of Medicine · doi:10.1056/nejmoa2102214 · Cited by 1,257 · cited 1× · see citing works
“351 by vaccinated sera corresponds to a reduction in efficacy [10,14].”
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Research works printed but not linked: 13
- Wouters OJ, Shadlen KC, Salcher-Konrad M, Pollard AJ, Larson HJ, Teerawattananon Y, et al. Challenges in ensuring global access to COVID-19 vaccines: production, affordability, allocation, and deployment. The Lancet 2021;397:1023-34. https://doi.org/10.1016/S0140-6736(21)00306-8. · DOI
- Plotkin SA. Correlates of protection induced by vaccination. CVI 2010;17:1055-65. https://doi.org/10.1128/CVI.00131-10. · DOI · Paper page
- McMahan K, Yu J, Mercado NB, Loos C, Tostanoski LH, Chandrashekar A, et al. Correlates of protection against SARS-CoV-2 in rhesus macaques. Nature 2021;590:630-4. https://doi.org/10.1038/s41586-020-03041-6. · DOI · Paper page
- Lumley SF, O'Donnell D, Stoesser NE, Matthews PC, Howarth A, Hatch SB, et al. Antibody status and incidence of SARS-CoV-2 infection in health care workers. N Engl J Med 2021;384:533-40. https://doi.org/10.1056/NEJMoa2034545. · DOI · Paper page
- Gabriel EE, Sachs MC, Daniels MJ, Halloran ME. Optimizing and evaluating biomarker combinations as trial-level general surrogates. Stat Med 2019;38:1135-46. https://doi.org/10.1002/sim.7996. · DOI
- Novavax. Announcement of UK and South Africa Trial Results. 2021; published online Jan 28. https://ir.novavax.com/events/event-details/novavax-update- conference-call-and-webcast-0 (accessed March 8, 2021).
- Chen X, Pan Z, Yue S, Yu F, Zhang J, Yang Y, et al. Disease severity dictates SARS- CoV-2-specific neutralizing antibody responses in COVID-19. Signal Transduction and Targeted Therapy 2020;5:1-6. https://doi.org/10.1038/ s41392-020-00301-9. · DOI
- Hansen CB, Jarlhelt I, Pérez-Alós L, Landsy LH, Loftager M, Rosbjerg A, et al. SARS-CoV-2 antibody responses are correlated to disease severity in COVID-19 convalescent individuals. J Immunol 2021;206:109-17. https://doi.org/ 10.4049/jimmunol.2000898. · DOI
- Zhou D, Dejnirattisai W, Supasa P, Liu C, Mentzer AJ, Ginn HM, et al. Evidence of escape of SARS-CoV-2 variant B.1.351 from natural and vaccine-induced sera. Cell 2021. https://doi.org/10.1016/j.cell.2021.02.037. · DOI · Paper page
- Walsh EE, Frenck RW, Falsey AR, Kitchin N, Absalon J, Gurtman A, et al. Safety and immunogenicity of two RNA-based covid-19 vaccine candidates. N Engl J Med 2020;383:2439-50. https://doi.org/10.1056/NEJMoa2027906. · DOI · Paper page
- Chen X, Rostad CA, Anderson LJ, Sun H, Lapp SA, Stephens K, et al. The development and kinetics of functional antibody-dependent cell-mediated cytotoxicity (ADCC) to SARS-CoV-2 spike protein. Virology 2021;559:1-9. https://doi.org/10.1016/j.virol.2021.03.009. · DOI
- Siber GR, Chang I, Baker S, Fernsten P, O'Brien KL, Santosham M, et al. Estimating the protective concentration of anti-pneumococcal capsular polysaccharide antibodies. Vaccine 2007;25:3816-26. https://doi.org/ 10.1016/j.vaccine.2007.01.119. · DOI
- Qin L, Gilbert PB, Corey L, McElrath MJ, Self SG. A framework for assessing immunological correlates of protection in vaccine trials. J Infect Dis 2007;196:1304-12. https://doi.org/10.1086/522428. · DOI
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Sorted by citations
Covid-19 Breakthrough Infections in Vaccinated Health Care Workers
Bergwerk, M., Gonen, T., Lustig, Y., Amit, S., Lipsitch, M., Cohen, C., Mandelboim, M., Levin, E. G., Rubin, C., Indenbaum, V., et al. (2021) · New England Journal of Medicine · doi:10.1056/nejmoa2109072 · Cited by 1,345 · see citing works
Immune correlates analysis of the mRNA-1273 COVID-19 vaccine efficacy clinical trial
Gilbert, P. B., Montefiori, D. C., McDermott, A. B., Fong, Y., Benkeser, D., Deng, W., Zhou, H., Houchens, C. R., Martins, K., Jayashankar, L., et al. (2022) · Science · doi:10.1126/science.abm3425 · Cited by 1,137 · see citing works
Self-citationmRNA-based COVID-19 vaccine boosters induce neutralizing immunity against SARS-CoV-2 Omicron variant
Garcia-Beltran, W. F., St. Denis, K. J., Hoelzemer, A., Lam, E. C., Nitido, A. D., Sheehan, M. L., Berrios, C., Ofoman, O., Chang, C. C., Hauser, B. M., et al. (2022) · Cell · doi:10.1016/j.cell.2021.12.033 · Cited by 1,045 · see citing works
The biological and clinical significance of emerging SARS-CoV-2 variants
Tao, K., Tzou, P. L., Nouhin, J., Gupta, R. K., de Oliveira, T., Kosakovsky Pond, S. L., Fera, D., & Shafer, R. W. (2021) · Nature Reviews Genetics · doi:10.1038/s41576-021-00408-x · Cited by 1,009 · see citing works
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Willett, B. J., Grove, J., MacLean, O. A., Wilkie, C., De Lorenzo, G., Furnon, W., Cantoni, D., Scott, S., Logan, N., Ashraf, S., et al. (2022) · Nature Microbiology · doi:10.1038/s41564-022-01143-7 · Cited by 785 · see citing works
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Sadarangani, M., Marchant, A., & Kollmann, T. R. (2021) · Nature Reviews Immunology · doi:10.1038/s41577-021-00578-z · Cited by 560 · see citing works
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Payne, R. P., Longet, S., Austin, J. A., Skelly, D. T., Dejnirattisai, W., Adele, S., Meardon, N., Faustini, S., Al-Taei, S., Moore, S. C., et al. (2021) · Cell · doi:10.1016/j.cell.2021.10.011 · Cited by 322 · see citing works
Lewis, H., Ware, H., Whelan, M., Subissi, L., Li, Z., Ma, X., Nardone, A., Valenciano, M., Cheng, B., Noel, K., et al. (2022) · doi:10.1101/2022.02.14.22270934 · Cited by 177 · see citing works
Neutralising antibodies predict protection from severe COVID-19
Cromer, D., Steain, M., Reynaldi, A., Schlub, T. E., Sasson, S. C., Kent, S. J., Khoury, D. S., & Davenport, M. P. (2022) · doi:10.1101/2022.06.09.22275942 · Cited by 139 · see citing works
A self-amplifying RNA vaccine against COVID-19 with long-term room-temperature stability
Voigt, E. A., Gerhardt, A., Hanson, D., Jennewein, M. F., Battisti, P., Reed, S., Singh, J., Mohamath, R., Bakken, J., Beaver, S., et al. (2022) · npj Vaccines · doi:10.1038/s41541-022-00549-y · Cited by 89 · see citing works
Pratama, N. R., Wafa, I. A., Budi, D. S., Sutanto, H., Asmarawati, T. P., Barlian Effendi, G., & Wungu, C. D. K. (2022) · Vaccines · doi:10.3390/vaccines10122180 · Cited by 30 · see citing works
Germinal center responses to SARS-CoV-2 mRNA vaccines in healthy and immunocompromised individuals
Lederer, K., Parvathaneni, K., Painter, M. M., Bettini, E., Agarwal, D., Lundgreen, K. A., Weirick, M., Goel, R. R., Xu, X., Drapeau, E. M., et al. (2021) · doi:10.1101/2021.09.16.21263686 · Cited by 179 · see citing works
- Authors
- Earle, K. A., Ambrosino, D. M., Fiore-Gartland, A., Goldblatt, D., Gilbert, P. B., Siber, G. R., Dull, P., & Plotkin, S. A.
- Affiliations
- Gates Foundation (US)
- Fred Hutch Cancer Center (US)
- University College London (GB)
- University of Pennsylvania (US)
- Corresponding author
- Dull, Peter
- ORCID
- Venue
- Vaccine
- Publisher
- Elsevier BV
- Published
- 2021-07
- Volume
- 39
- Issue
- 32
- Pages
- 4423-4428
- ISSN
- 0264-410X (ISSN-L)
- PMC
- PMC8142841
- OpenAlex
- W3164547793
- Cited by
- 870
- References
- 2
- Citations by year
- 2026: 41 · 2025: 65 · 2024: 94 · 2023: 167 · 2022: 351 · 2021: 149 · 2020: 1
- FWCI
- 60.42
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Vaccine (publishedVersion, cc-by)
- medRxiv (acceptedVersion, cc-by-nc-nd)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- UCL Discovery (University College London) (submittedVersion)
- Funders
- Bill & Melinda Gates Foundation
- Topics
- Health Sciences › Medicine › Infectious Diseases › SARS-CoV-2 and COVID-19 Research
- Health Sciences › Medicine › Infectious Diseases › COVID-19 Clinical Research Studies
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › vaccines and immunoinformatics approaches
- Keywords
- COVID-19 vaccines, correlates of protection, antibody titers, neutralizing antibodies, binding antibodies, vaccine efficacy, convalescent sera, SARS-CoV-2, vaccine development
- MeSH terms
- COVID-19, SARS-CoV-2, COVID-19 Vaccines, COVID-19 Serotherapy, Animals, Antibodies, Viral, Humans, Immunization, Passive, Antibodies, Neutralizing
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