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 |
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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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