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Kinetics of the Severe Acute Respiratory Syndrome Coronavirus 2 Antibody Response and Serological Estimation of Time Since Infection.
Pelleau, Stéphane; Woudenberg, Tom; Rosado, Jason; Donnadieu, Françoise; Garcia, Laura; Obadia, Thomas; Gardais, Soazic; Elgharbawy, Yasmine; Velay, Aurelie; Gonzalez, Maria; Nizou, Jacques Yves; Khelil, Nizar; Zannis, Konstantinos; Cockram, Charlotte; Merkling, Sarah Hélène; Meola, Annalisa; Kerneis, Solen; Terrier, Benjamin; de Seze, Jerome; Planas, Delphine; Schwartz, Olivier; Dejardin, François; Petres, Stéphane; von Platen, Cassandre; Pellerin, Sandrine Fernandes; Arowas, Laurence; de Facci, Louise Perrin; Duffy, Darragh; Cheallaigh, Clíona Ní; Dunne, Jean; Conlon, Niall; Townsend, Liam; Duong, Veasna; Auerswald, Heidi; Pinaud, Laurie; Tondeur, Laura; Backovic, Marija; Hoen, Bruno; Fontanet, Arnaud; Mueller, Ivo; Fafi-Kremer, Samira; Bruel, Timothée; White, Michael.
  • Pelleau S; Infectious Disease Epidemiology and Analytics Unit, Department of Global Health, Institut Pasteur, Paris, France.
  • Woudenberg T; Malaria: Parasites and Hosts Unit, Department of Parasites and Insect Vectors, Institut Pasteur, Paris, France.
  • Rosado J; Infectious Disease Epidemiology and Analytics Unit, Department of Global Health, Institut Pasteur, Paris, France.
  • Donnadieu F; Malaria: Parasites and Hosts Unit, Department of Parasites and Insect Vectors, Institut Pasteur, Paris, France.
  • Garcia L; Infectious Disease Epidemiology and Analytics Unit, Department of Global Health, Institut Pasteur, Paris, France.
  • Obadia T; Malaria: Parasites and Hosts Unit, Department of Parasites and Insect Vectors, Institut Pasteur, Paris, France.
  • Gardais S; Sorbonne Université, Paris, France.
  • Elgharbawy Y; Infectious Disease Epidemiology and Analytics Unit, Department of Global Health, Institut Pasteur, Paris, France.
  • Velay A; Malaria: Parasites and Hosts Unit, Department of Parasites and Insect Vectors, Institut Pasteur, Paris, France.
  • Gonzalez M; Infectious Disease Epidemiology and Analytics Unit, Department of Global Health, Institut Pasteur, Paris, France.
  • Nizou JY; Malaria: Parasites and Hosts Unit, Department of Parasites and Insect Vectors, Institut Pasteur, Paris, France.
  • Khelil N; Infectious Disease Epidemiology and Analytics Unit, Department of Global Health, Institut Pasteur, Paris, France.
  • Zannis K; Malaria: Parasites and Hosts Unit, Department of Parasites and Insect Vectors, Institut Pasteur, Paris, France.
  • Cockram C; Hub de Bioinformatique et Biostatistique, Département Biologie Computationnelle, Institut Pasteur, Paris, France.
  • Merkling SH; Malaria: Parasites and Hosts Unit, Department of Parasites and Insect Vectors, Institut Pasteur, Paris, France.
  • Meola A; Malaria: Parasites and Hosts Unit, Department of Parasites and Insect Vectors, Institut Pasteur, Paris, France.
  • Kerneis S; Centres Hospitaliers et Universitaires de Strasbourg, Laboratoire de Virologie, Strasbourg, France.
  • Terrier B; Université de Strasbourg, Inserm, Immuno-Rhumathologie moléculaire Unité Mixte de Recherche_S 1109, Strasbourg, France.
  • de Seze J; Centres Hospitaliers et Universitaires de Strasbourg, Service de Pathologies Professionnelles, Strasbourg, France.
  • Planas D; Institut Mutualiste Montsouris, Paris, France.
  • Schwartz O; Institut Mutualiste Montsouris, Paris, France.
  • Dejardin F; Institut Mutualiste Montsouris, Paris, France.
  • Petres S; Spatial Regulation of Genomes Unit, Department of Genomes and Genetics, Institut Pasteur, Paris, France.
  • von Platen C; Insect-Virus Interactions Unit, Department of Virology and French National Center for Scientific Research Unité Mixte de Recherche 2000, Institut Pasteur, Paris, France.
  • Pellerin SF; Structural Virology Unit, Department of Virology and French National Center for Scientific Research Unité Mixte de Recherche 3569, Institut Pasteur, Paris, France.
  • Arowas L; Equipe de Prévention du Risque Infectieux, Assistance Publique - Hôpitaux de Paris, Hôpital Bichat, Paris, France.
  • de Facci LP; Université de Paris, Inserm, Infection Antimicrobials Modelling Evolution, Paris, France.
  • Duffy D; Epidemiology and Modelling of Antibiotic Evasion, Institut Pasteur, Paris, France.
  • Cheallaigh CN; Department of Internal Medicine, National Referral Center for Rare Systemic Autoimmune Diseases, Assistance Publique Hôpitaux de Paris-Centre, Université de Paris, Paris,France.
  • Dunne J; Paris-Centre de Recherche Cardiovasculaire, Inserm U970, Paris, France.
  • Conlon N; Centre d'Investigation Clinique, Inserm CIC-1434, Strasbourg, France.
  • Townsend L; Virus and Immunity Unit, Department of Virology, Institut Pasteur, Paris, France.
  • Duong V; Virus and Immunity Unit, Department of Virology, Institut Pasteur, Paris, France.
  • Auerswald H; Production and Purification of Recombinant Proteins Technological Platform, Center for Technological Resources and Research, Institut Pasteur, Paris, France.
  • Pinaud L; Production and Purification of Recombinant Proteins Technological Platform, Center for Technological Resources and Research, Institut Pasteur, Paris, France.
  • Tondeur L; Center for Translational Science, Institut Pasteur, Paris, France.
  • Backovic M; Center for Translational Science, Institut Pasteur, Paris, France.
  • Hoen B; Investigation Clinique et Accès aux Ressources Biologiques, Center for Translational Research, Institut Pasteur, Paris, France.
  • Fontanet A; Investigation Clinique et Accès aux Ressources Biologiques, Center for Translational Research, Institut Pasteur, Paris, France.
  • Mueller I; Translational Immunology Laboratory, Institut Pasteur, Paris, France.
  • Fafi-Kremer S; Department of Infectious Diseases, St James's Hospital, Dublin, Ireland.
  • Bruel T; Department of Clinical Medicine, School of Medicine, Trinity Translational Medicine Institute, Trinity College, Dublin,Ireland.
  • White M; Department of Immunology, St James's Hospital, Dublin, Ireland.
J Infect Dis ; 224(9): 1489-1499, 2021 11 16.
Article in English | MEDLINE | ID: covidwho-1317919
ABSTRACT

BACKGROUND:

Infection with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) induces a complex antibody response that varies by orders of magnitude between individuals and over time.

METHODS:

We developed a multiplex serological test for measuring antibodies to 5 SARS-CoV-2 antigens and the spike proteins of seasonal coronaviruses. We measured antibody responses in cohorts of hospitalized patients and healthcare workers followed for up to 11 months after symptoms. A mathematical model of antibody kinetics was used to quantify the duration of antibody responses. Antibody response data were used to train algorithms for estimating time since infection.

RESULTS:

One year after symptoms, we estimate that 36% (95% range, 11%-94%) of anti-Spike immunoglobulin G (IgG) remains, 31% (95% range, 9%-89%) anti-RBD IgG remains, and 7% (1%-31%) of anti-nucleocapsid IgG remains. The multiplex assay classified previous infections into time intervals of 0-3 months, 3-6 months, and 6-12 months. This method was validated using data from a seroprevalence survey in France, demonstrating that historical SARS-CoV-2 transmission can be reconstructed using samples from a single survey.

CONCLUSIONS:

In addition to diagnosing previous SARS-CoV-2 infection, multiplex serological assays can estimate the time since infection, which can be used to reconstruct past epidemics.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Serologic Tests / COVID-19 / Antibodies, Viral Type of study: Diagnostic study / Prognostic study Limits: Adolescent / Adult / Aged / Female / Humans / Male / Middle aged / Young adult Country/Region as subject: Europa Language: English Journal: J Infect Dis Year: 2021 Document Type: Article Affiliation country: Infdis

Full text: Available Collection: International databases Database: MEDLINE Main subject: Serologic Tests / COVID-19 / Antibodies, Viral Type of study: Diagnostic study / Prognostic study Limits: Adolescent / Adult / Aged / Female / Humans / Male / Middle aged / Young adult Country/Region as subject: Europa Language: English Journal: J Infect Dis Year: 2021 Document Type: Article Affiliation country: Infdis