Persistence of SARS-CoV-2 antibodies over 18 months following infection: UK Biobank COVID-19 Serology Study

Author:

Bešević JelenaORCID,Lacey BenORCID,Callen Howard,Omiyale Wemimo,Conroy MeganORCID,Feng Qi,Crook Derrick W,Doherty Nicola,Ebner Daniel,Eyre David W,Fry Dan,Horn Edward,Jones E Yvonne,Marsden Brian D,Peto Tim E A,Starkey Fenella,Stuart David,Welsh Samantha,Wood Natasha,Young Alan,Young Allen,Effingham Mark,Collins Rory,Holliday Jo,Allen Naomi

Abstract

BackgroundLittle is known about the persistence of antibodies after the first year following SARS-CoV-2 infection. We aimed to determine the proportion of individuals that maintain detectable levels of SARS-CoV-2 antibodies over an 18-month period following infection.MethodsPopulation-based prospective study of 20 000 UK Biobank participants and their adult relatives recruited in May 2020. The proportion of SARS-CoV-2 cases testing positive for immunoglobulin G (IgG) antibodies against the spike protein (IgG-S), and the nucleocapsid protein (IgG-N), was calculated at varying intervals following infection.ResultsOverall, 20 195 participants were recruited. Their median age was 56 years (IQR 39–68), 56% were female and 88% were of white ethnicity. The proportion of SARS-CoV-2 cases with IgG-S antibodies following infection remained high (92%, 95% CI 90%–93%) at 6 months after infection. Levels of IgG-N antibodies following infection gradually decreased from 92% (95% CI 88%–95%) at 3 months to 72% (95% CI 70%–75%) at 18 months. There was no strong evidence of heterogeneity in antibody persistence by age, sex, ethnicity or socioeconomic deprivation.ConclusionThis study adds to the limited evidence on the long-term persistence of antibodies following SARS-CoV-2 infection, with likely implications for waning immunity following infection and the use of IgG-N in population surveys.

Funder

Cancer Research UK

Medical Research Council

Wellcome Trust

British Heart Foundation

Department of Health and Social Care

Publisher

BMJ

Subject

Public Health, Environmental and Occupational Health,Epidemiology

Reference19 articles.

1. World Health Organisation . WHO COVID-19 dashboard. 2020. Available: https://covid19.who.int/ [Accessed 22 Nov 2022].

2. Lou B , Li T-D , Zheng S-F , et al . Serology characteristics of SARS-Cov-2 infection after exposure and post-symptom onset. Eur Respir J 2020;56:2000763. doi:10.1183/13993003.00763-2020

3. Biobank UK . COVID-19 serology study waves 1-6 overview document; 2022.

4. Performance characteristics of five immunoassays for SARS-CoV-2: a head-to-head benchmark comparison

5. Centers for Disease Control and Prevention . Coronavirus disease 2019 (COVID-19) 2021 case definition. 2023. Available: https://ndc.services.cdc.gov/case-definitions/coronavirus-disease-2019-2021/ [Accessed 21 Feb 2023].

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