1. Time series analysis and mechanistic modelling of heterogeneity and sero-reversion in antibody responses to mild SARS‑CoV-2 infection
- Author
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Charlotte Manisty, Thomas Alexander Treibel, Melanie Jensen, Amanda Semper, George Joy, Rishi K Gupta, Teresa Cutino-Moguel, Mervyn Andiapen, Jessica Jones, Stephen Taylor, Ashley Otter, Corrina Pade, Joseph Gibbons, Jason Lee, Joanna Bacon, Steve Thomas, Chris Moon, Meleri Jones, Dylan Williams, Jonathan Lambourne, Marianna Fontana, Daniel M Altmann, Rosemary Boyton, Mala Maini, Aine McKnight, Benjamin Chain, Mahdad Noursadeghi, and James C Moon
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SARS-CoV-2, Serology, Mathematical modelling, Sero-reversion ,Medicine ,Medicine (General) ,R5-920 - Abstract
Background: SARS-CoV-2 serology is used to identify prior infection at individual and at population level. Extended longitudinal studies with multi-timepoint sampling to evaluate dynamic changes in antibody levels are required to identify the time horizon in which these applications of serology are valid, and to explore the longevity of protective humoral immunity. Methods: Healthcare workers were recruited to a prospective cohort study from the first SARS-CoV-2 epidemic peak in London, undergoing weekly symptom screen, viral PCR and blood sampling over 16–21 weeks. Serological analysis (n =12,990) was performed using semi-quantitative Euroimmun IgG to viral spike S1 domain and Roche total antibody to viral nucleocapsid protein (NP) assays. Comparisons were made to pseudovirus neutralizing antibody measurements. Findings: A total of 157/729 (21.5%) participants developed positive SARS-CoV-2 serology by one or other assay, of whom 31.0% were asymptomatic and there were no deaths. Peak Euroimmun anti-S1 and Roche anti-NP measurements correlated (r = 0.57, p
- Published
- 2021
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