Quantifying antibody kinetics and RNA detection during early-phase SARS-CoV-2 infection by time since symptom onset

Borremans, B., Gamble, A. , Prager, K.C., Helman, S. K., McClain, A. M., Cox, C., Savage, V. and Lloyd-Smith, J. O. (2020) Quantifying antibody kinetics and RNA detection during early-phase SARS-CoV-2 infection by time since symptom onset. eLife, 9, e60122. (doi: 10.7554/eLife.60122) (PMID:32894217) (PMCID:PMC7508557)

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Abstract

Understanding and mitigating SARS-CoV-2 transmission hinges on antibody and viral RNA data that inform exposure and shedding, but extensive variation in assays, study group demographics and laboratory protocols across published studies confounds inference of true biological patterns. Our meta-analysis leverages 3214 datapoints from 516 individuals in 21 studies to reveal that seroconversion of both IgG and IgM occurs around 12 days post-symptom onset (range 1–40), with extensive individual variation that is not significantly associated with disease severity. IgG and IgM detection probabilities increase from roughly 10% at symptom onset to 98–100% by day 22, after which IgM wanes while IgG remains reliably detectable. RNA detection probability decreases from roughly 90% to zero by day 30, and is highest in feces and lower respiratory tract samples. Our findings provide a coherent evidence base for interpreting clinical diagnostics, and for the mathematical models and serological surveys that underpin public health policies.

Item Type:Articles
Status:Published
Refereed:Yes
Glasgow Author(s) Enlighten ID:Gamble, Dr Amandine
Authors: Borremans, B., Gamble, A., Prager, K.C., Helman, S. K., McClain, A. M., Cox, C., Savage, V., and Lloyd-Smith, J. O.
College/School:College of Medical Veterinary and Life Sciences > School of Biodiversity, One Health & Veterinary Medicine
Journal Name:eLife
Publisher:eLife Sciences Publications
ISSN:2050-084X
ISSN (Online):2050-084X
Published Online:07 September 2020
Copyright Holders:Copyright © 2020 Borremans et al.
First Published:First published in eLife 9: e60122
Publisher Policy:Reproduced under a Creative Commons License

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