Five Commercial Immunoassays for SARS-CoV-2 Antibody Determination and Their Comparison and Correlation with the Virus Neutralization Test.

SARS-CoV-2 antibody immunoassay nucleocapsid protein serological diagnostics spike protein virus neutralization test

Journal

Diagnostics (Basel, Switzerland)
ISSN: 2075-4418
Titre abrégé: Diagnostics (Basel)
Pays: Switzerland
ID NLM: 101658402

Informations de publication

Date de publication:
25 Mar 2021
Historique:
received: 04 03 2021
revised: 19 03 2021
accepted: 21 03 2021
entrez: 3 4 2021
pubmed: 4 4 2021
medline: 4 4 2021
Statut: epublish

Résumé

There is an ongoing debate as to whether SARS-CoV-2 antibodies can be found in patients who have recovered from COVID-19 disease. Currently, there is no consensus on whether the antibodies, if present, are protective. Our regular measurements of SARS-CoV-2 antibodies, starting in July 2020, have provided us with the opportunity of becoming acquainted with the five different immunoassays. A total of 149 patients were enrolled in our study. We measured the samples using each immunoassay, then performing a virus neutralization test and comparing the results of SARS-CoV-2 antibodies with this test. We observed that the production of neutralizing antibodies is age-dependent. Elderly patients have a higher proportion of high neutralizing titers than young patients. Based on our results, and in combination with the literature findings, we can conclude that the serological SARS-CoV-2 antibody measurement is a helpful tool in the fight against COVID-19. The assays can provide information about the patient's previous contact with the virus. Anti-spike protein assays correlate well with the virus neutralization test and can be used in the screening of potential convalescent plasma donors.

Identifiants

pubmed: 33806216
pii: diagnostics11040593
doi: 10.3390/diagnostics11040593
pmc: PMC8065578
pii:
doi:

Types de publication

Journal Article

Langues

eng

Subventions

Organisme : Ministerstvo Zdravotnictví Ceské Republiky
ID : Conceptual Development of Research Organization - University Hospital Pilsen - FNPl, 00669806
Organisme : BBMRI-CZ
ID : Biobank network - a versatile platform for the research of the etiopathogenesis of diseases (CZ.02.1.01/0.0/0.0/16_013/0001674) and Bank of the clinical samples (LM2018125)

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Auteurs

Václav Šimánek (V)

Department of Immunochemistry Diagnostics, University Hospital in Pilsen, 309 55 Pilsen, Czech Republic.

Ladislav Pecen (L)

Department of Immunochemistry Diagnostics, University Hospital in Pilsen, 309 55 Pilsen, Czech Republic.

Zuzana Krátká (Z)

Laboratory of Immunology, Gennet, 110 00 Prague, Czech Republic.

Tomáš Fürst (T)

Faculty of Science, Palacky University in Olomouc, 779 00 Olomouc, Czech Republic.

Hana Řezáčková (H)

Department of Immunochemistry Diagnostics, University Hospital in Pilsen, 309 55 Pilsen, Czech Republic.

Ondřej Topolčan (O)

Department of Immunochemistry Diagnostics, University Hospital in Pilsen, 309 55 Pilsen, Czech Republic.

Karel Fajfrlík (K)

Department of Microbiology, University Hospital in Pilsen, 309 55 Pilsen, Czech Republic.

Dalibor Sedláček (D)

Department of Infectious Diseases and Travel Medicine, University Hospital in Pilsen, 309 55 Pilsen, Czech Republic.

Robin Šín (R)

Department of Infectious Diseases and Travel Medicine, University Hospital in Pilsen, 309 55 Pilsen, Czech Republic.

Petr Pazdiora (P)

Institute of Epidemiology, Faculty of Medicine in Pilsen, Charles University, 305 99 Pilsen, Czech Republic.

Hana Zelená (H)

Department of Virology, Public Health Institute, 702 00 Ostrava, Czech Republic.
Department of Biomedical Sciences, Faculty of Medicine, University of Ostrava, 703 00 Ostrava, Czech Republic.

David Slouka (D)

Department of Otorhinolaryngology, University Hospital in Pilsen, Faculty of Medicine in Pilsen, Charles University, 305 99 Pilsen, Czech Republic.

Radek Kučera (R)

Department of Immunochemistry Diagnostics, University Hospital in Pilsen, 309 55 Pilsen, Czech Republic.
Institute of Pharmacology and Toxicology, Faculty of Medicine in Pilsen, Charles University, 323 00 Pilsen, Czech Republic.

Classifications MeSH