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Persistence and detection of anti-SARS-CoV-2 antibodies: immunoassay heterogeneity and implications for serosurveillance
Javier Perez-Saez; Maria-Eugenia Zaballa; Sabine Yerly; Diego O Andrey; Benjamin Meyer; Isabella Eckerle; Jean Francois Balavoine; Francois Chappuis; Didier Pittet; Didier Trono; Omar Kherad; Nicolas Vuilleumier; Laurent Kaiser; Idris Guessous; Silvia Stringhini; Andrew S Azman; - Specchio-COVID19 Study Group.
Afiliação
  • Javier Perez-Saez; Johns Hopkins University
  • Maria-Eugenia Zaballa; Geneva University Hospitals
  • Sabine Yerly; Geneva University Hospitals
  • Diego O Andrey; Geneva University Hospitals
  • Benjamin Meyer; University of Geneva
  • Isabella Eckerle; Geneva University Hospitals
  • Jean Francois Balavoine; Geneva University Hospitals
  • Francois Chappuis; Geneva University Hospitals
  • Didier Pittet; Geneva University Hospitals
  • Didier Trono; Ecole Polytechnique Federale de Lausanne
  • Omar Kherad; Hopital de la Tour and Faculty of Medicine
  • Nicolas Vuilleumier; Geneva University Hospitals
  • Laurent Kaiser; University of Geneva Hospitals
  • Idris Guessous; Geneva University Hospitals
  • Silvia Stringhini; Geneva University Hospitals
  • Andrew S Azman; Johns Hopkins University
  • - Specchio-COVID19 Study Group;
Preprint em Inglês | medRxiv | ID: ppmedrxiv-21253710
ABSTRACT
Serologic studies have been critical in tracking the evolution of the COVID-19 pandemic. The reliability of serologic studies for quantifying the proportion of the population that have been infected depends on the extent of antibody decay as well as on assay performance in detecting both recent and older infections. Data on anti-SARS-CoV-2 antibodies persistence remain sparse, especially from infected individuals with few to no symptoms. In a cohort of mostly mild/asymptomatic SARS-CoV-2-infected individuals tested with three widely-used immunoassays, antibodies persisted for at least 8 months after infection, although detection depended on immunoassay choice, with one of them missing up to 40% of past infections. Simulations reveal that without appropriate adjustment for time-varying assay sensitivity, seroprevalence surveys may underestimate infection rates. As the immune landscape becomes more complex with naturally-infected and vaccinated individuals, assay choice and appropriate assay-performance-adjustment will become even more important for the interpretation of serologic studies.
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Texto completo: Disponível Coleções: Preprints Base de dados: medRxiv Tipo de estudo: Cohort_studies / Estudo diagnóstico / Estudo observacional / Estudo prognóstico Idioma: Inglês Ano de publicação: 2021 Tipo de documento: Preprint
Texto completo: Disponível Coleções: Preprints Base de dados: medRxiv Tipo de estudo: Cohort_studies / Estudo diagnóstico / Estudo observacional / Estudo prognóstico Idioma: Inglês Ano de publicação: 2021 Tipo de documento: Preprint
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