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Estimated protection against COVID-19 based on predicted neutralisation titres from multiple antibody measurements in a longitudinal cohort, France, April 2020 to November 2021.
Woudenberg, Tom; Pinaud, Laurie; Garcia, Laura; Tondeur, Laura; Pelleau, Stéphane; De Thoisy, Alix; Donnadieu, Françoise; Backovic, Marija; Attia, Mikaël; Hozé, Nathanael; Duru, Cécile; Koffi, Aymar Davy; Castelain, Sandrine; Ungeheuer, Marie-Noelle; Fernandes Pellerin, Sandrine; Planas, Delphine; Bruel, Timothée; Cauchemez, Simon; Schwartz, Olivier; Fontanet, Arnaud; White, Michael.
Affiliation
  • Woudenberg T; Infectious Disease Epidemiology and Analytics G5 Unit, Department of Global Health, Institut Pasteur, Université Paris-Cité, Paris, France.
  • Pinaud L; Emerging Diseases Epidemiology Unit, Institut Pasteur, Université Paris-Cité, Paris, France.
  • Garcia L; Infectious Disease Epidemiology and Analytics G5 Unit, Department of Global Health, Institut Pasteur, Université Paris-Cité, Paris, France.
  • Tondeur L; Emerging Diseases Epidemiology Unit, Institut Pasteur, Université Paris-Cité, Paris, France.
  • Pelleau S; Infectious Disease Epidemiology and Analytics G5 Unit, Department of Global Health, Institut Pasteur, Université Paris-Cité, Paris, France.
  • De Thoisy A; Infectious Disease Epidemiology and Analytics G5 Unit, Department of Global Health, Institut Pasteur, Université Paris-Cité, Paris, France.
  • Donnadieu F; Infectious Disease Epidemiology and Analytics G5 Unit, Department of Global Health, Institut Pasteur, Université Paris-Cité, Paris, France.
  • Backovic M; Structural Virology Unit, Department of Virology and CNRS UMR 3569, Institut Pasteur, Université Paris-Cité, Paris, France.
  • Attia M; Molecular Genetics of RNA Viruses, Department of Virology, Institut Pasteur, Université Paris-Cité, CNRS UMR 3569, Paris, France.
  • Hozé N; Mathematical Modelling of Infectious Diseases Unit, Institut Pasteur, Université Paris-Cité, UMR2000, CNRS, Paris, France.
  • Duru C; Hôpital de Crépy-en-Valois, Crépy-en-Valois, France.
  • Koffi AD; Hôpital de Crépy-en-Valois, Crépy-en-Valois, France.
  • Castelain S; Laboratoire de virologie, CHU Amiens, AGIR UR4294, UPJV, Amiens, France.
  • Ungeheuer MN; Clinical Investigation and Access to Research Bioresources (ICAReB) platform, Center for Translational Science, Institut Pasteur, Paris, France.
  • Fernandes Pellerin S; Center for Translational Science, Institut Pasteur, Paris, France.
  • Planas D; Virus and Immunity Unit, Department of Virology, Institut Pasteur, Université Paris-Cité, Paris, France.
  • Bruel T; Virus and Immunity Unit, Department of Virology, Institut Pasteur, Université Paris-Cité, Paris, France.
  • Cauchemez S; Mathematical Modelling of Infectious Diseases Unit, Institut Pasteur, Université Paris-Cité, UMR2000, CNRS, Paris, France.
  • Schwartz O; Virus and Immunity Unit, Department of Virology, Institut Pasteur, Université Paris-Cité, Paris, France.
  • Fontanet A; PACRI Unit, Conservatoire National des Arts et Métiers, Paris, France.
  • White M; Emerging Diseases Epidemiology Unit, Institut Pasteur, Université Paris-Cité, Paris, France.
Euro Surveill ; 28(25)2023 06.
Article in En | MEDLINE | ID: mdl-37347417
BackgroundThe risk of SARS-CoV-2 (re-)infection remains present given waning of vaccine-induced and infection-acquired immunity, and ongoing circulation of new variants.AimTo develop a method that predicts virus neutralisation and disease protection based on variant-specific antibody measurements to SARS-CoV-2 antigens.MethodsTo correlate antibody and neutralisation titres, we collected 304 serum samples from individuals with either vaccine-induced or infection-acquired SARS-CoV-2 immunity. Using the association between antibody and neutralisation titres, we developed a prediction model for SARS-CoV-2-specific neutralisation titres. From predicted neutralising titres, we inferred protection estimates to symptomatic and severe COVID-19 using previously described relationships between neutralisation titres and protection estimates. We estimated population immunity in a French longitudinal cohort of 905 individuals followed from April 2020 to November 2021.ResultsWe demonstrated a strong correlation between anti-SARS-CoV-2 antibodies measured using a low cost high-throughput assay and antibody response capacity to neutralise live virus. Participants with a single vaccination or immunity caused by infection were especially vulnerable to symptomatic or severe COVID-19. While the median reduced risk of COVID-19 from Delta variant infection in participants with three vaccinations was 96% (IQR: 94-98), median reduced risk among participants with infection-acquired immunity was only 42% (IQR: 22-66).ConclusionOur results are consistent with data from vaccine effectiveness studies, indicating the robustness of our approach. Our multiplex serological assay can be readily adapted to study new variants and provides a framework for development of an assay that would include protection estimates.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: COVID-19 Type of study: Prognostic_studies / Risk_factors_studies Limits: Humans Country/Region as subject: Europa Language: En Journal: Euro Surveill Journal subject: DOENCAS TRANSMISSIVEIS Year: 2023 Document type: Article Affiliation country: France Country of publication: Sweden

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: COVID-19 Type of study: Prognostic_studies / Risk_factors_studies Limits: Humans Country/Region as subject: Europa Language: En Journal: Euro Surveill Journal subject: DOENCAS TRANSMISSIVEIS Year: 2023 Document type: Article Affiliation country: France Country of publication: Sweden