IDEAS home Printed from https://ideas.repec.org/a/nat/natcom/v14y2023i1d10.1038_s41467-023-38744-7.html
   My bibliography  Save this article

Long term anti-SARS-CoV-2 antibody kinetics and correlate of protection against Omicron BA.1/BA.2 infection

Author

Listed:
  • Javier Perez-Saez

    (Geneva University Hospitals
    Johns Hopkins Bloomberg School of Public Health)

  • María-Eugenia Zaballa

    (Geneva University Hospitals)

  • Julien Lamour

    (Geneva University Hospitals)

  • Sabine Yerly

    (Geneva University Hospitals)

  • Richard Dubos

    (Geneva University Hospitals)

  • Delphine S. Courvoisier

    (General Directorate of Health
    Geneva University Hospitals)

  • Jennifer Villers

    (Geneva University Hospitals)

  • Jean-François Balavoine

    (University of Geneva)

  • Didier Pittet

    (University of Geneva
    Geneva University Hospitals)

  • Omar Kherad

    (University of Geneva
    Hôpital de la Tour)

  • Nicolas Vuilleumier

    (Geneva University Hospitals
    University of Geneva)

  • Laurent Kaiser

    (Geneva University Hospitals
    University of Geneva
    Geneva University Hospitals
    Geneva University Hospitals)

  • Idris Guessous

    (University of Geneva
    Geneva University Hospitals)

  • Silvia Stringhini

    (Geneva University Hospitals
    University of Lausanne)

  • Andrew S. Azman

    (Geneva University Hospitals
    Johns Hopkins Bloomberg School of Public Health)

Abstract

Binding antibody levels against SARS-CoV-2 have shown to be correlates of protection against infection with pre-Omicron lineages. This has been challenged by the emergence of immune-evasive variants, notably the Omicron sublineages, in an evolving immune landscape with high levels of cumulative incidence and vaccination coverage. This in turn limits the use of widely available commercial high-throughput methods to quantify binding antibodies as a tool to monitor protection at the population-level. Here we show that anti-Spike RBD antibody levels, as quantified by the immunoassay used in this study, are an indirect correlate of protection against Omicron BA.1/BA.2 for individuals previously infected by SARS-CoV-2. Leveraging repeated serological measurements between April 2020 and December 2021 on 1083 participants of a population-based cohort in Geneva, Switzerland, and using antibody kinetic modeling, we found up to a three-fold reduction in the hazard of having a documented positive SARS-CoV-2 infection during the Omicron BA.1/BA.2 wave for anti-S antibody levels above 800 IU/mL (HR 0.30, 95% CI 0.22-0.41). However, we did not detect a reduction in hazard among uninfected participants. These results provide reassuring insights into the continued interpretation of SARS-CoV-2 binding antibody measurements as an independent marker of protection at both the individual and population levels.

Suggested Citation

  • Javier Perez-Saez & María-Eugenia Zaballa & Julien Lamour & Sabine Yerly & Richard Dubos & Delphine S. Courvoisier & Jennifer Villers & Jean-François Balavoine & Didier Pittet & Omar Kherad & Nicolas , 2023. "Long term anti-SARS-CoV-2 antibody kinetics and correlate of protection against Omicron BA.1/BA.2 infection," Nature Communications, Nature, vol. 14(1), pages 1-9, December.
  • Handle: RePEc:nat:natcom:v:14:y:2023:i:1:d:10.1038_s41467-023-38744-7
    DOI: 10.1038/s41467-023-38744-7
    as

    Download full text from publisher

    File URL: https://www.nature.com/articles/s41467-023-38744-7
    File Function: Abstract
    Download Restriction: no

    File URL: https://libkey.io/10.1038/s41467-023-38744-7?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. van der Wal, Willem M. & Geskus, Ronald B., 2011. "ipw: An R Package for Inverse Probability Weighting," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 43(i13).
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Meyer, Maximilian & Hulke, Carolin & Kamwi, Jonathan & Kolem, Hannah & Börner, Jan, 2022. "Spatially heterogeneous effects of collective action on environmental dependence in Namibia’s Zambezi region," World Development, Elsevier, vol. 159(C).
    2. Waverly Wei & Maya Petersen & Mark J van der Laan & Zeyu Zheng & Chong Wu & Jingshen Wang, 2023. "Efficient targeted learning of heterogeneous treatment effects for multiple subgroups," Biometrics, The International Biometric Society, vol. 79(3), pages 1934-1946, September.
    3. Albert Stuart Reece & Gary Kenneth Hulse, 2022. "European Epidemiological Patterns of Cannabis- and Substance-Related Congenital Neurological Anomalies: Geospatiotemporal and Causal Inferential Study," IJERPH, MDPI, vol. 20(1), pages 1-35, December.
    4. Albert Stuart Reece & Gary Kenneth Hulse, 2022. "European Epidemiological Patterns of Cannabis- and Substance-Related Body Wall Congenital Anomalies: Geospatiotemporal and Causal Inferential Study," IJERPH, MDPI, vol. 19(15), pages 1-38, July.
    5. Stjepan Srhoj & Michael Lapinski & Janette Walde, 2019. "Size matters? Impact evaluation of business development grants on SME performance," Working Papers 2019-14, Faculty of Economics and Statistics, Universität Innsbruck.
    6. Satyam Kumar & Yelleti Vivek & Vadlamani Ravi & Indranil Bose, 2023. "Causal Inference for Banking Finance and Insurance A Survey," Papers 2307.16427, arXiv.org.
    7. Sebastian Daza & Alberto Palloni & Jerrett Jones, 2020. "The Consequences of Incarceration for Mortality in the United States," Demography, Springer;Population Association of America (PAA), vol. 57(2), pages 577-598, April.
    8. Andrea Ciccarelli & Elena Fabrizi & Eleonora Romano & Pietro Zoppoli, 2022. "Health, Well-Being and Work History Patterns: Insight on Territorial Differences," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 161(2), pages 629-647, June.
    9. Bastien Bourrion & Cécile Souty & Lucie Fournier & Ana-Maria Vilcu & Thierry Blanchon & Pierre-Yves Böelle & Thomas Hanslik & Mathilde François, 2021. "Bisphosphonate Use and Hospitalization for Hip Fractures in Women: An Observational Population-Based Study in France," IJERPH, MDPI, vol. 18(16), pages 1-11, August.
    10. Albert Stuart Reece & Gary Kenneth Hulse, 2022. "Socioeconomic, Ethnocultural, Substance- and Cannabinoid-Related Epidemiology of Down Syndrome USA 1986–2016: Combined Geotemporospatial and Causal Inference Investigation," IJERPH, MDPI, vol. 19(20), pages 1-37, October.
    11. Maria Llistosella & Pere Castellvi & Andrea Miranda-Mendizabal & Silvia Recoder & Ester Calbo & Marc Casajuana-Closas & David Leiva & Rumen Manolov & Nuria Matilla-Santander & Carlos G. Forero, 2022. "Low Resilience Was a Risk Factor of Mental Health Problems during the COVID-19 Pandemic but Not in Individuals Exposed to COVID-19: A Cohort Study in Spanish Adult General Population," IJERPH, MDPI, vol. 19(22), pages 1-15, November.
    12. Jan-Philip Steinmann & Hannes Kröger & Jörg Hartmann & Theresa M. Entringer, 2024. "Did Religious Well-Being Benefits Converge or Diverge During the Early Stages of the COVID-19 Pandemic in Germany?," Journal of Happiness Studies, Springer, vol. 25(7), pages 1-35, October.
    13. Ahmad Alamer & Charles Palm & Abdulaziz S. Almulhim & Charisse Te & Merri L. Pendergrass & Maryam T. Fazel, 2020. "Impact of Non-Tailored One-Way Automated Short Messaging Service (OASMS) on Glycemic Control in Type 2 Diabetes: A Retrospective Feasibility Study," IJERPH, MDPI, vol. 17(20), pages 1-10, October.
    14. Benedetta Pongiglione & Aleksandra Torbica, 2022. "How real can we get in generating real world evidence? Exploring the opportunities of routinely collected administrative data for evaluation of medical devices," Health Economics, John Wiley & Sons, Ltd., vol. 31(S1), pages 25-43, September.
    15. Juraj Bodik, 2024. "Extreme Treatment Effect: Extrapolating Dose-Response Function into Extreme Treatment Domain," Mathematics, MDPI, vol. 12(10), pages 1-36, May.
    16. Kallus Nathan & Santacatterina Michele, 2021. "Optimal balancing of time-dependent confounders for marginal structural models," Journal of Causal Inference, De Gruyter, vol. 9(1), pages 345-369, January.
    17. Bartolucci, Francesco & Grilli, Leonardo & Pieroni, Luca, 2012. "Estimating dynamic causal effects with unobserved confounders: a latent class version of the inverse probability weighted estimator," MPRA Paper 43430, University Library of Munich, Germany.
    18. Stjepan Srhoj & Michal Lapinski & Janette Walde, 2021. "Impact evaluation of business development grants on SME performance," Small Business Economics, Springer, vol. 57(3), pages 1285-1301, October.
    19. Albert Stuart Reece & Gary Kenneth Hulse, 2022. "Cannabis- and Substance-Related Epidemiological Patterns of Chromosomal Congenital Anomalies in Europe: Geospatiotemporal and Causal Inferential Study," IJERPH, MDPI, vol. 19(18), pages 1-51, September.
    20. Albert Stuart Reece & Gary Kenneth Hulse, 2022. "Epidemiology of Δ8THC-Related Carcinogenesis in USA: A Panel Regression and Causal Inferential Study," IJERPH, MDPI, vol. 19(13), pages 1-27, June.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:nat:natcom:v:14:y:2023:i:1:d:10.1038_s41467-023-38744-7. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.nature.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.