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Multiplexed, microscale, microarray-based serological assay for antibodies against all human-relevant coronaviruses.
- Source :
-
Journal of virological methods [J Virol Methods] 2021 May; Vol. 291, pp. 114111. Date of Electronic Publication: 2021 Feb 25. - Publication Year :
- 2021
-
Abstract
- Rapid, sensitive, and precise multiplexed assays for serological analysis during candidate COVID-19 vaccine development would streamline clinical trials. The VaxArray Coronavirus (CoV) SeroAssay quantifies IgG antibody binding to 9 pandemic, potentially pandemic, and endemic human CoV spike antigens in 2 h with automated results analysis. IgG antibodies in serum bind to the CoV spike protein capture antigens printed in a microarray format and are labeled with a fluorescent anti-species IgG secondary label. The assay demonstrated excellent lower limits of quantification ranging from 0.3 to 2.0 ng/mL and linear dynamic ranges of 76 to 911-fold. Average precision of 11 % CV and accuracy (% recovery) of 92.5 % over all capture antigens were achieved over 216 replicates representing 3 days and 3 microarray lots. Clinical performance on 263 human serum samples (132 SARS-CoV-2 negatives and 131 positives based on donor-matched RT-PCR and/or date of collection) produced 98.5 % PPA and 100 % NPA.<br /> (Copyright © 2021 The Author(s). Published by Elsevier B.V. All rights reserved.)
- Subjects :
- Antigens, Viral immunology
COVID-19 diagnosis
COVID-19 immunology
COVID-19 Nucleic Acid Testing
COVID-19 Testing methods
Coronavirus immunology
Coronavirus Infections immunology
Humans
Immunoassay methods
Immunoglobulin G blood
Reproducibility of Results
SARS-CoV-2 isolation & purification
Sensitivity and Specificity
Spike Glycoprotein, Coronavirus immunology
Antibodies, Viral blood
Coronavirus isolation & purification
Coronavirus Infections diagnosis
Microarray Analysis methods
Serologic Tests methods
Subjects
Details
- Language :
- English
- ISSN :
- 1879-0984
- Volume :
- 291
- Database :
- MEDLINE
- Journal :
- Journal of virological methods
- Publication Type :
- Academic Journal
- Accession number :
- 33640374
- Full Text :
- https://doi.org/10.1016/j.jviromet.2021.114111