A serological assay to detect SARS-CoV-2 seroconversion in humans

Abstract

Here, we describe a serological enzyme-linked immunosorbent assay for the screening and identification of human SARS-CoV-2 seroconverters. This assay does not require the handling of infectious virus, can be adjusted to detect different antibody types in serum and plasma and is amenable to scaling. Serological assays are of critical importance to help define previous exposure to SARS-CoV-2 in populations, identify highly reactive human donors for convalescent plasma therapy and investigate correlates of protection.

Keywords

SerologySeroconversionVirologyAntibodySevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2)ImmunologyCoronavirus disease 2019 (COVID-19)MedicineBiologyVirusInfectious disease (medical specialty)DiseasePathology

MeSH Terms

AdultBetacoronavirusCOVID-19COVID-19 TestingCase-Control StudiesClinical Laboratory TechniquesCoronavirus InfectionsElectrophoresisPolyacrylamide GelEnzyme-Linked Immunosorbent AssayHumansImmunizationPassiveLongitudinal StudiesMiddle AgedNeutralization TestsPandemicsPneumoniaViralSARS-CoV-2SeroconversionYoung AdultCOVID-19 Serotherapy

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Publication Info

Year: 2020
Type: article
Volume: 26
Issue: 7
Pages: 1033-1036
Citations: 1934
Access: Closed

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APA Style

                            
                                
                                    Fatima Amanat, 
                                
                                    Daniel Stadlbauer, 
                                
                                    Shirin Strohmeier
                                
                                et al.
                            
                            (2020). 
                            A serological assay to detect SARS-CoV-2 seroconversion in humans. 
                            Nature Medicine
                            , 26
                            (7)
                            , 1033-1036.
                            https://doi.org/10.1038/s41591-020-0913-5
                        

Identifiers

DOI: 10.1038/s41591-020-0913-5
PMID: 32398876
PMCID: PMC8183627

Data Quality

Data completeness: 90%