Clinical and Analytical Performance of an Automated Serological Test That Identifies S1/S2-Neutralizing IgG in COVID-19 Patients Semiquantitatively.


Journal

Journal of clinical microbiology
ISSN: 1098-660X
Titre abrégé: J Clin Microbiol
Pays: United States
ID NLM: 7505564

Informations de publication

Date de publication:
24 08 2020
Historique:
received: 21 05 2020
accepted: 22 06 2020
pubmed: 26 6 2020
medline: 9 9 2020
entrez: 26 6 2020
Statut: epublish

Résumé

In the coronavirus (CoV) disease 2019 (COVID-19) pandemic, highly selective serological testing is essential to define exposure to severe acute respiratory syndrome CoV 2 (SARS-CoV-2). Many tests have been developed, yet with variable speeds to first results, and are of unknown quality, particularly when considering the prediction of neutralizing capacity. The LIAISON SARS-CoV-2 S1/S2 IgG assay was designed to measure antibodies against the SARS-CoV-2 native S1/S2 proteins in a standardized automated chemiluminescence assay. The clinical and analytical performances of the test were validated in an observational study using residual samples (>1,500) with a positive or negative COVID-19 diagnosis. The LIAISON SARS-CoV-2 S1/S2 IgG assay proved to be highly selective and specific and offered semiquantitative measures of serum or plasma levels of anti-S1/S2 IgG with neutralizing activity. The assay's diagnostic sensitivities were 91.3% and 95.7% at >5 or ≥15 days from diagnosis, respectively, and 100% when assessed against a neutralizing assay. The assay's specificity ranged between 97% and 98.5%. The average imprecision of the assay was a <5% coefficient of variation. Assay performance at 2 different cutoffs was evaluated to optimize predictive values. The automated LIAISON SARS-CoV-2 S1/S2 IgG assay brings efficient, sensitive, specific, and precise serological testing to the laboratory, with the capacity to test large amounts of samples per day; first results are available within 35 min, with a throughput of 170 tests/hour. The semiquantitative results provided by the test also associate with the presence of neutralizing antibodies and may provide a useful tool for the large-scale screening of convalescent-phase plasma for safe therapeutic use.

Identifiants

pubmed: 32580948
pii: JCM.01224-20
doi: 10.1128/JCM.01224-20
pmc: PMC7448652
pii:
doi:

Substances chimiques

Antibodies, Neutralizing 0
Antibodies, Viral 0
Immunoglobulin G 0
Spike Glycoprotein, Coronavirus 0
spike protein, SARS-CoV-2 0

Types de publication

Journal Article Observational Study Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

Copyright © 2020 Bonelli et al.

Références

Sci Rep. 2020 Sep 14;10(1):14991
pubmed: 32929138
Sensors (Basel). 2019 May 31;19(11):
pubmed: 31159167
Euro Surveill. 2020 Feb;25(6):
pubmed: 32046815
J Med Virol. 2020 Apr 13;:
pubmed: 32281679
J Hosp Infect. 2019 Jan;101(1):20-29
pubmed: 29864486
Euro Surveill. 2020 Jun;25(24):
pubmed: 32583766
Lancet Infect Dis. 2020 May;20(5):533-534
pubmed: 32087114
J Am Chem Soc. 2003 Oct 22;125(42):12782-6
pubmed: 14558825
Viruses. 2012 Apr;4(4):557-80
pubmed: 22590686
PLoS One. 2006 Dec 20;1:e24
pubmed: 17183651
Cell Mol Immunol. 2020 Jul;17(7):765-767
pubmed: 32047258
Viruses. 2012 Jun;4(6):1011-33
pubmed: 22816037
Vox Sang. 2020 Apr 2;:
pubmed: 32240545
Proc Natl Acad Sci U S A. 2004 Jun 29;101(26):9804-9
pubmed: 15210961
J Korean Med Sci. 2020 Apr 13;35(14):e149
pubmed: 32281317
J Clin Invest. 2020 Apr 1;130(4):1545-1548
pubmed: 32167489
Sci Adv. 2019 Apr 10;5(4):eaav4580
pubmed: 30989115
J Clin Microbiol. 2020 May 26;58(6):
pubmed: 32229605
J Clin Virol. 2020 Jun;127:104358
pubmed: 32305026
J Med Virol. 2020 Feb 27;:
pubmed: 32104917
Nature. 2004 Apr 1;428(6982):561-4
pubmed: 15024391

Auteurs

Fabrizio Bonelli (F)

DiaSorin, S.p.A., Saluggia, Italy fabrizio.bonelli@diasorin.it.

Antonella Sarasini (A)

Molecular Virology Unit, Fondazione Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS) Policlinico San Matteo, Pavia, Italy.

Claudia Zierold (C)

DiaSorin, S.p.A., Saluggia, Italy.

Mariella Calleri (M)

DiaSorin, S.p.A., Saluggia, Italy.

Alice Bonetti (A)

Molecular Virology Unit, Fondazione Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS) Policlinico San Matteo, Pavia, Italy.
Department of Clinical, Surgical Diagnostic and Pediatric Sciences, University of Pavia, Pavia, Italy.

Chiara Vismara (C)

Department of Laboratory Medicine, ASST Niguarda Hospital, University of Milan, Milan, Italy.

Frank A Blocki (FA)

DiaSorin, S.p.A., Saluggia, Italy.

Luca Pallavicini (L)

DiaSorin, S.p.A., Saluggia, Italy.

Alberto Chinali (A)

DiaSorin, S.p.A., Saluggia, Italy.

Daniela Campisi (D)

Department of Laboratory Medicine, ASST Niguarda Hospital, University of Milan, Milan, Italy.

Elena Percivalle (E)

Molecular Virology Unit, Fondazione Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS) Policlinico San Matteo, Pavia, Italy.

Anna Pia DiNapoli (AP)

Molecular Virology Unit, Fondazione Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS) Policlinico San Matteo, Pavia, Italy.
Department of Clinical, Surgical Diagnostic and Pediatric Sciences, University of Pavia, Pavia, Italy.

Carlo Federico Perno (CF)

Department of Laboratory Medicine, ASST Niguarda Hospital, University of Milan, Milan, Italy.

Fausto Baldanti (F)

Molecular Virology Unit, Fondazione Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS) Policlinico San Matteo, Pavia, Italy.
Department of Clinical, Surgical Diagnostic and Pediatric Sciences, University of Pavia, Pavia, Italy.

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