Kinetics of the Severe Acute Respiratory Syndrome Coronavirus 2 Antibody Response and Serological Estimation of Time Since Infection. (19th July 2021)
- Record Type:
- Journal Article
- Title:
- Kinetics of the Severe Acute Respiratory Syndrome Coronavirus 2 Antibody Response and Serological Estimation of Time Since Infection. (19th July 2021)
- Main Title:
- Kinetics of the Severe Acute Respiratory Syndrome Coronavirus 2 Antibody Response and Serological Estimation of Time Since Infection
- Authors:
- 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
… (more) - Abstract:
- 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. Abstract : Longitudinal follow-up of individuals infected with severe acute respiratory syndrome coronavirus 2Abstract: 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. Abstract : Longitudinal follow-up of individuals infected with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) reveals differences in the duration of antibodies to multiple antigens. Mathematical models of antibody waning and statistical algorithms can estimate an individual's time since SARS-CoV-2 infection, and previous transmission waves in a population. … (more)
- Is Part Of:
- Journal of infectious diseases. Volume 224:Number 9(2021)
- Journal:
- Journal of infectious diseases
- Issue:
- Volume 224:Number 9(2021)
- Issue Display:
- Volume 224, Issue 9 (2021)
- Year:
- 2021
- Volume:
- 224
- Issue:
- 9
- Issue Sort Value:
- 2021-0224-0009-0000
- Page Start:
- 1489
- Page End:
- 1499
- Publication Date:
- 2021-07-19
- Subjects:
- antibody kinetics -- SARS-SoV-2 -- seroprevalence -- surveillance -- time since infection
Communicable diseases -- Periodicals
Diseases -- Causes and theories of causation -- Periodicals
Medicine -- Periodicals
Communicable Diseases -- Periodicals
Electronic journals
616.9 - Journal URLs:
- http://jid.oxfordjournals.org/content/by/year ↗
http://www.journals.uchicago.edu/JID/journal/ ↗
http://www.jstor.org/journals/00221899.html ↗
http://ukcatalogue.oup.com/ ↗ - DOI:
- 10.1093/infdis/jiab375 ↗
- Languages:
- English
- ISSNs:
- 0022-1899
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 5006.700000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 19866.xml