Do quantitative levels of antispike-IgG antibodies aid in predicting protection from SARS-CoV-2 infection? Results from a longitudinal study in a police cohort.


Journal

Journal of medical virology
ISSN: 1096-9071
Titre abrégé: J Med Virol
Pays: United States
ID NLM: 7705876

Informations de publication

Date de publication:
07 2023
Historique:
revised: 04 06 2023
received: 25 03 2023
accepted: 11 06 2023
medline: 3 7 2023
pubmed: 30 6 2023
entrez: 30 6 2023
Statut: ppublish

Résumé

In a COVID-19 sero-surveillance cohort study with predominantly healthy and vaccinated individuals, the objectives were (i) to investigate longitudinally the factors associated with the quantitative dynamics of antispike (anti-S1) IgG antibody levels, (ii) to evaluate whether the levels were associated with protection from SARS-CoV-2 infection, and (iii) to assess whether the association was different in the pre-Omicron compared with the Omicron period. The QuantiVac Euroimmun ELISA test was used to quantify anti-S1 IgG levels. The entire study period (16 months), the 11-month pre-Omicron period and the cross-sectional analysis before the Omicron surge included 3219, 2310, and 895 reactive serum samples from 949, 919, and 895 individuals, respectively. Mixed-effect linear, mixed-effect time-to-event, and logistic regression models were used to achieve the objectives. Age and time since infection or vaccination were the only factors associated with a decline of anti-S1 IgG levels. Higher antibody levels were significantly associated with protection from SARS-CoV-2 infection (0.89, 95% confidence interval [CI] 0.82-0.97), and the association was higher during the time period when Omicron was predominantly circulating compared with the ones when Alpha and Delta variants were predominant (adjusted hazard ratio for interaction 0.66, 95% CI 0.53-0.84). In a prediction model, it was estimated that >8000 BAU/mL anti-S1 IgG was required to reduce the risk of infection with Omicron variants by approximately 20%-30% for 90 days. Though, such high levels were only found in 1.9% of the samples before the Omicron surge, and they were not durable for 3 months. Anti-S1 IgG antibody levels are statistically associated with protection from SARS-CoV-2 infection. However, the prediction impact of the antibody level findings on infection protection is limited.

Identifiants

pubmed: 37386901
doi: 10.1002/jmv.28904
doi:

Substances chimiques

Immunoglobulin G 0

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

e28904

Informations de copyright

© 2023 The Authors. Journal of Medical Virology published by Wiley Periodicals LLC.

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Auteurs

Parham Sendi (P)

Institute for Infectious Diseases, University of Bern, Bern, Switzerland.

Nadja Widmer (N)

Interregional Blood Transfusion Swiss Red Cross, Bern, Switzerland.

Mattia Branca (M)

CTU Bern, University of Bern, Bern, Switzerland.

Marc Thierstein (M)

Division Operations, Cantonal Police Bern, Bern, Switzerland.

Annina Elisabeth Büchi (AE)

Department of Pulmonary Medicine, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland.

Dominik Güntensperger (D)

CTU Bern, University of Bern, Bern, Switzerland.

Manuel Raphael Blum (MR)

Department of General Internal Medicine, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland.
Institute of Primary Health Care (BIHAM), University of Bern, Bern, Switzerland.

Rossella Baldan (R)

Institute for Infectious Diseases, University of Bern, Bern, Switzerland.

Caroline Tinguely (C)

Interregional Blood Transfusion Swiss Red Cross, Bern, Switzerland.

Dik Heg (D)

CTU Bern, University of Bern, Bern, Switzerland.

Elitza S Theel (ES)

Division of Clinical Microbiology, Mayo Clinic, Rochester, Minnesota, USA.

Elie Berbari (E)

Division of Public Health, Infectious Diseases, and Occupational Medicine Mayo Clinic, Rochester, Minnesota, USA.

Aaron J Tande (AJ)

Division of Public Health, Infectious Diseases, and Occupational Medicine Mayo Clinic, Rochester, Minnesota, USA.

Andrea Endimiani (A)

Institute for Infectious Diseases, University of Bern, Bern, Switzerland.

Peter Gowland (P)

Interregional Blood Transfusion Swiss Red Cross, Bern, Switzerland.

Christoph Niederhauser (C)

Institute for Infectious Diseases, University of Bern, Bern, Switzerland.
Interregional Blood Transfusion Swiss Red Cross, Bern, Switzerland.

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