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Long term anti-SARS-CoV-2 antibody kinetics and correlate of protection against Omicron BA.1/BA.2 infection
Javier Perez-Saez; Maria-Eugenia Zaballa; Julien Lamour; Sabine Yerly; Richard Dubos; Delphine Courvoisier; Jennifer Villers; Jean-Francois Balavoine; Didier Pittet; Omar Kherad; Nicolas Vuilleumier; Laurent Kaiser; Idris Guessous; Silvia Stringhini; Andrew S. Azman.
Afiliação
  • Javier Perez-Saez; Geneva University Hospitals
  • Maria-Eugenia Zaballa; Geneva University Hospitals
  • Julien Lamour; Geneva University Hospitals
  • Sabine Yerly; Geneva University Hospitals
  • Richard Dubos; Geneva University Hospitals
  • Delphine Courvoisier; General Directorate of Health, Geneva
  • Jennifer Villers; Geneva University Hospitals
  • Jean-Francois Balavoine; University of Geneva
  • Didier Pittet; University of Geneva
  • Omar Kherad; University of Geneva
  • Nicolas Vuilleumier; Geneva University Hospitals
  • Laurent Kaiser; Geneva University Hospitals
  • Idris Guessous; Geneva University Hospitals
  • Silvia Stringhini; Geneva University Hospitals
  • Andrew S. Azman; Johns Hopkins Bloomberg School of Public Health
Preprint em Inglês | medRxiv | ID: ppmedrxiv-22283400
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 commercially available high-throughput methods to quantify binding antibodies as a tool to monitor protection at the population-level. In this work, we leverage repeated serological measurements between April 2020 and December 2021 on 1083 participants of a population-based cohort in Geneva, Switzerland, to evaluate anti-Spike RBD antibody levels as a correlate of protection against Omicron BA.1/BA.2 infections during the December 2021-March 2022 epidemic wave. We do so by first modeling antibody dynamics in time with kinetic models. We then use these models to predict antibody trajectories into the time period where Omicron BA.1/BA.2 were the predominant circulating sub-lineages and use survival analyses to compare the hazard of having a positive SARS-CoV-2 test by antibody level, vaccination status and infection history. We find that antibody kinetics in our sample are mainly determined by infection and vaccination history, and to a lesser extent by demographics. After controlling for age and previous infections (based on anti-nucleocapsid serology), survival analyses reveal a significant reduction in the hazard of having a documented positive SARS-CoV-2 infection during the Omicron BA.1/BA.2 wave with increasing antibody levels, reaching up to a three-fold reduction for anti-S antibody vels above 800 IU/mL (HR 0.30, 95% CI 0.22-0.41). However, we did not detect a eduction in hazard among uninfected participants. Taken together these results indicate that nti-Spike RBD antibody levels, as quantified by the immunoassay used in this study, are an direct correlate of protection against Omicron BA.1/BA.2 for individuals with a history of revious SARS-CoV-2 infection. Despite the uncertainty in what SARS-COV-2 variant will me next, these results provide reassuring insights into the continued interpretation of ARS-CoV-2 binding antibody measurements as an independent marker of protection at both the individual and population levels.
Licença
cc_by_nc_nd
Texto completo: Disponível Coleções: Preprints Base de dados: medRxiv Idioma: Inglês Ano de publicação: 2022 Tipo de documento: Preprint
Texto completo: Disponível Coleções: Preprints Base de dados: medRxiv Idioma: Inglês Ano de publicação: 2022 Tipo de documento: Preprint
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