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An evaluation of COVID-19 serological assays informs future diagnostics and exposure assessment
Open accessPublished version of a preprint
Abstract
The world is entering a new era of the COVID-19 pandemic in which there is an increasing call for reliable antibody testing. To support decision making on the deployment of serology for either population screening or diagnostics, we present a detailed comparison of serological COVID-19 assays. We show that among the selected assays there is a wide diversity in assay performance in different scenarios and when correlated to virus neutralizing antibodies. The Wantai ELISA detecting total immunoglobulins against the receptor binding domain of SARS CoV-2, has the best overall characteristics to detect functional antibodies in different stages and severity of disease, including the potential to set a cut-off indicating the presence of protective antibodies. The large variety of available serological assays requires proper assay validation before deciding on deployment of assays for specific applications.
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“Although the Wantai ELISA is a qualitative assay, a ratio of >10 has previously been shown to correspond to virus neutralization (44).”
From SARS-CoV-2 variants of concern partially escape humoral but not T cell responses in COVID-19 convalescent donors and vaccine recipients (2021) · cites this paper as [44]
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Zhao, J., Yuan, Q., Wang, H., Liu, W., Liao, X., Su, Y., Wang, X., Yuan, J., Li, T., Li, J., et al. (2020) · Clinical Infectious Diseases · doi:10.1093/cid/ciaa344 · Cited by 2,607
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van Kampen, J. J. A., van de Vijver, D. A. M. C., Fraaij, P. L. A., Haagmans, B. L., Lamers, M. M., Okba, N., van den Akker, J. P. C., Endeman, H., Gommers, D. A. M. P. J., Cornelissen, J. J., et al. (2021) · Nature Communications · doi:10.1038/s41467-020-20568-4 · Cited by 838
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Metadata
- Authors
- GeurtsvanKessel, C. H., Okba, N. M. A., Igloi, Z., Bogers, S., Embregts, C. W. E., Laksono, B. M., Leijten, L., Rokx, C., Rijnders, B., Rahamat-Langendoen, J., van den Akker, J. P. C., van Kampen, J. J. A., van der Eijk, A. A., van Binnendijk, R. S., Haagmans, B., & Koopmans, M.
- Affiliations
- Erasmus MC (NL)
- Radboud University Medical Center (NL)
- Corresponding author
- GeurtsvanKessel, Corine H.
- ORCID
- Venue
- Nature Communications
- Published
- 2020-07-06
- Volume
- 11
- Issue
- 1
- Pages
- 3436-3436
- ISSN
- 2041-1723 (ISSN-L)
- PMC
- PMC7338506
- OpenAlex
- W3039328844
- Cited by
- 361
- References
- 10
- Citations by year
- 2026: 5 · 2025: 9 · 2024: 15 · 2023: 33 · 2022: 66 · 2021: 165 · 2020: 68
- FWCI
- 10.89
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Locations
- Nature Communications (publishedVersion, cc-by)
- medRxiv (acceptedVersion)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- EUR Research Repository (Erasmus University Rotterdam) (submittedVersion, other-oa)
- RePub (Erasmus University Rotterdam) (submittedVersion, other-oa)
- RePEc: Research Papers in Economics (submittedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Radboud Repository (Radboud University) (submittedVersion)
- Rivm Repository (Netherlands National Institute for Public Health and the Environment) (submittedVersion)
- Rivm (National Institute for Public Health and the Environment) (submittedVersion)
- Rivm (National Institute for Public Health and the Environment) (submittedVersion, other-oa)
- Radboud Repository (Radboud University) (submittedVersion, other-oa)
- Topics
- Health Sciences › Medicine › Infectious Diseases › SARS-CoV-2 detection and testing
- Health Sciences › Medicine › Infectious Diseases › SARS-CoV-2 and COVID-19 Research
- Health Sciences › Medicine › Infectious Diseases › COVID-19 Clinical Research Studies
- Keywords
- COVID-19 pandemic, SARS-CoV-2, serological assays, antibody detection, ELISA, receptor binding domain, virus-neutralizing antibodies, assay validation, diagnostic accuracy, exposure assessment, mass screening, disease severity
- MeSH terms
- Betacoronavirus, COVID-19, SARS-CoV-2, COVID-19 Testing, Antibodies, Viral, Enzyme-Linked Immunosorbent Assay, Humans, Luminescent Measurements, Neutralization Tests, Pneumonia, Viral, Sensitivity and Specificity, Serologic Tests, Coronavirus Infections, Clinical Laboratory Techniques, Antibodies, Neutralizing, High-Throughput Screening Assays, Pandemics
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