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Analysis of SARS-CoV-2 antibodies in COVID-19 convalescent blood using a coronavirus antigen microarray.
- Source :
-
Nature communications [Nat Commun] 2021 Jan 04; Vol. 12 (1), pp. 6. Date of Electronic Publication: 2021 Jan 04. - Publication Year :
- 2021
-
Abstract
- The current practice for diagnosis of COVID-19, based on SARS-CoV-2 PCR testing of pharyngeal or respiratory specimens in a symptomatic patient at high epidemiologic risk, likely underestimates the true prevalence of infection. Serologic methods can more accurately estimate the disease burden by detecting infections missed by the limited testing performed to date. Here, we describe the validation of a coronavirus antigen microarray containing immunologically significant antigens from SARS-CoV-2, in addition to SARS-CoV, MERS-CoV, common human coronavirus strains, and other common respiratory viruses. A comparison of antibody profiles detected on the array from control sera collected prior to the SARS-CoV-2 pandemic versus convalescent blood specimens from virologically confirmed COVID-19 cases demonstrates near complete discrimination of these two groups, with improved performance from use of antigen combinations that include both spike protein and nucleoprotein. This array can be used as a diagnostic tool, as an epidemiologic tool to more accurately estimate the disease burden of COVID-19, and as a research tool to correlate antibody responses with clinical outcomes.
- Subjects :
- Antibodies, Viral immunology
Antigens, Viral immunology
COVID-19 blood
COVID-19 diagnosis
COVID-19 Testing
Humans
Immunoglobulin G blood
Immunoglobulin G immunology
Immunoglobulin M blood
Immunoglobulin M immunology
Microarray Analysis methods
Middle East Respiratory Syndrome Coronavirus immunology
Neutralization Tests
Severe acute respiratory syndrome-related coronavirus immunology
Spike Glycoprotein, Coronavirus immunology
Antibodies, Viral blood
Antigens, Viral blood
COVID-19 immunology
SARS-CoV-2 immunology
Subjects
Details
- Language :
- English
- ISSN :
- 2041-1723
- Volume :
- 12
- Issue :
- 1
- Database :
- MEDLINE
- Journal :
- Nature communications
- Publication Type :
- Academic Journal
- Accession number :
- 33397903
- Full Text :
- https://doi.org/10.1038/s41467-020-20095-2