Time series analysis and mechanistic modelling of heterogeneity and sero-reversion in antibody responses to mild SARS‑CoV-2 infection.
Antibodies, Neutralizing
/ blood
Antibodies, Viral
/ blood
COVID-19
/ blood
Coronavirus Nucleocapsid Proteins
/ immunology
Health Personnel
/ statistics & numerical data
Humans
Immunoglobulin A
/ blood
Immunoglobulin G
/ blood
Phosphoproteins
/ immunology
Protein Domains
/ immunology
SARS-CoV-2
/ immunology
Spike Glycoprotein, Coronavirus
/ immunology
SARS-CoV-2, Serology, Mathematical modelling, Sero-reversion
Journal
EBioMedicine
ISSN: 2352-3964
Titre abrégé: EBioMedicine
Pays: Netherlands
ID NLM: 101647039
Informations de publication
Date de publication:
Mar 2021
Mar 2021
Historique:
received:
24
12
2020
revised:
09
02
2021
accepted:
09
02
2021
pubmed:
5
3
2021
medline:
7
4
2021
entrez:
4
3
2021
Statut:
ppublish
Résumé
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. 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. 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<0.0001) but only anti-S1 measurements correlated with near-contemporary pseudovirus neutralising antibody titres (measured at 16-18 weeks, r = 0.57, p<0.0001). By 21 weeks' follow-up, 31/143 (21.7%) anti-S1 and 6/150 (4.0%) anti-NP measurements reverted to negative. Mathematical modelling revealed faster clearance of anti-S1 compared to anti-NP (median half-life of 2.5 weeks versus 4.0 weeks), earlier transition to lower levels of antibody production (median of 8 versus 13 weeks), and greater reductions in relative antibody production rate after the transition (median of 35% versus 50%). Mild SARS-CoV-2 infection is associated with heterogeneous serological responses in Euroimmun anti-S1 and Roche anti-NP assays. Anti-S1 responses showed faster rates of clearance, more rapid transition from high to low level production rate and greater reduction in production rate after this transition. In mild infection, anti-S1 serology alone may underestimate incident infections. The mechanisms that underpin faster clearance and lower rates of sustained anti-S1 production may impact on the longevity of humoral immunity. Charitable donations via Barts Charity, Wellcome Trust, NIHR.
Sections du résumé
BACKGROUND
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
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
RESULTS
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<0.0001) but only anti-S1 measurements correlated with near-contemporary pseudovirus neutralising antibody titres (measured at 16-18 weeks, r = 0.57, p<0.0001). By 21 weeks' follow-up, 31/143 (21.7%) anti-S1 and 6/150 (4.0%) anti-NP measurements reverted to negative. Mathematical modelling revealed faster clearance of anti-S1 compared to anti-NP (median half-life of 2.5 weeks versus 4.0 weeks), earlier transition to lower levels of antibody production (median of 8 versus 13 weeks), and greater reductions in relative antibody production rate after the transition (median of 35% versus 50%).
INTERPRETATION
CONCLUSIONS
Mild SARS-CoV-2 infection is associated with heterogeneous serological responses in Euroimmun anti-S1 and Roche anti-NP assays. Anti-S1 responses showed faster rates of clearance, more rapid transition from high to low level production rate and greater reduction in production rate after this transition. In mild infection, anti-S1 serology alone may underestimate incident infections. The mechanisms that underpin faster clearance and lower rates of sustained anti-S1 production may impact on the longevity of humoral immunity.
FUNDING
BACKGROUND
Charitable donations via Barts Charity, Wellcome Trust, NIHR.
Identifiants
pubmed: 33662833
pii: S2352-3964(21)00052-9
doi: 10.1016/j.ebiom.2021.103259
pmc: PMC7920816
pii:
doi:
Substances chimiques
Antibodies, Neutralizing
0
Antibodies, Viral
0
Coronavirus Nucleocapsid Proteins
0
Immunoglobulin A
0
Immunoglobulin G
0
Phosphoproteins
0
Spike Glycoprotein, Coronavirus
0
nucleocapsid phosphoprotein, SARS-CoV-2
0
spike protein, SARS-CoV-2
0
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
103259Subventions
Organisme : Medical Research Council
ID : MR/V027883/1
Pays : United Kingdom
Organisme : Department of Health
ID : DRF-2018-11-ST2-004
Pays : United Kingdom
Organisme : Medical Research Council
ID : MR/S019553/1
Pays : United Kingdom
Organisme : Wellcome Trust
Pays : United Kingdom
Organisme : Medical Research Council
ID : MR/W020610/1
Pays : United Kingdom
Organisme : Medical Research Council
ID : MR/V036939/1
Pays : United Kingdom
Organisme : British Heart Foundation
ID : FS/18/21/33447
Pays : United Kingdom
Informations de copyright
Copyright © 2021 The Authors. Published by Elsevier B.V. All rights reserved.
Déclaration de conflit d'intérêts
Declaration of Competing Interests DA and RB report consultancy fees from Oxford Immunotec, RKG reports grants from NIHR, during the conduct of the study; CM reports grants from Barts Charity during the conduct of the study; MN reports grants from Wellcome Trust, during the conduct of the study; DW reports personal fees from Barts Health NHS Trust during the conduct of the study. The authors declare no conflicts of interest.