Evidence map›Paper›PMID 34607239›Full record

ArticleJournal of clinical virology : the official publication of the Pan American Society for Clinical Virology2021

Neutralizing antibody responses following natural SARS-CoV-2 infection: Dynamics and correlation with commercial serologic tests.

Isabel Montesinos, Hafid Dahma, Fleur Wolff, Nicolas Dauby, Sabrina Delaunoy, Magaly Wuyts, Cedric Detemmerman, Cecile Duterme, Olivier Vandenberg, Charlotte Martin and 1 more

Open access · greenAbstract read
In one paragraph

Article in Journal of clinical virology : the official publication of the Pan American Society for Clinical Virology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed
2.9field-weighted citation impact, top 7% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

30 citing papers in PubMed, 46 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors at 1 institution in 2 countries.

Isabel MontesinosDepartment of Microbiology, Laboratoire Hospitalier Universitaire de Bruxelles - Universitair Laboratorium Brussel (LHUB-ULB). Université Libre de Bruxelles. Rue Haute 322, 1000 Brussels, Belgium. Electronic address: carlota.montesinos@lhub-ulb.be.
Hafid DahmaDepartment of Microbiology, Laboratoire Hospitalier Universitaire de Bruxelles - Universitair Laboratorium Brussel (LHUB-ULB). Université Libre de Bruxelles. Rue Haute 322, 1000 Brussels, Belgium.
Fleur WolffDepartment of Clinical Biochemistry, Laboratoire Hospitalier Universitaire de Bruxelles - Universitair Laboratorium Brussel (LHUB-ULB). Université Libre de Bruxelles. Rue Haute 322, 1000 Brussels, Belgium.
Nicolas DaubyDepartment of Infectious Diseases, CHU Saint Pierre- Université Libre de Bruxelles (ULB). Brussels, Belgium & Institute for Medical Immunology (ULB), Belgium; Institute for Medical Immunology. Université Libre de Bruxelles, Brussels, Belgium; Center for Environmental Health and Occupational Health, School of Public Health, Université Libre de Bruxelles, Rue Haute 322, 1000 Brussels, Belgium.
Sabrina DelaunoyDepartment of Microbiology, Laboratoire Hospitalier Universitaire de Bruxelles - Universitair Laboratorium Brussel (LHUB-ULB). Université Libre de Bruxelles. Rue Haute 322, 1000 Brussels, Belgium.
Magaly WuytsDepartment of Microbiology, Laboratoire Hospitalier Universitaire de Bruxelles - Universitair Laboratorium Brussel (LHUB-ULB). Université Libre de Bruxelles. Rue Haute 322, 1000 Brussels, Belgium.
Cedric DetemmermanDepartment of Microbiology, Laboratoire Hospitalier Universitaire de Bruxelles - Universitair Laboratorium Brussel (LHUB-ULB). Université Libre de Bruxelles. Rue Haute 322, 1000 Brussels, Belgium.
Cecile DutermeDepartment of Clinical Biochemistry, Laboratoire Hospitalier Universitaire de Bruxelles - Universitair Laboratorium Brussel (LHUB-ULB). Université Libre de Bruxelles. Rue Haute 322, 1000 Brussels, Belgium.
Olivier VandenbergInnovation and Business Development Unit, Laboratoire Hospitalier Universitaire de Bruxelles - Universitair Laboratorium Brussel (LHUB-ULB), Université Libre de Bruxelles, Rue Haute 322, 1000 Brussels, Belgium; Center for Environmental Health and Occupational Health, School of Public Health, Université Libre de Bruxelles, Rue Haute 322, 1000 Brussels, Belgium; Division of Infection and Immunity, Faculty of Medical Sciences, University College London, London, United Kingdom.
Charlotte MartinDepartment of Infectious Diseases, CHU Saint Pierre- Université Libre de Bruxelles (ULB). Brussels, Belgium & Institute for Medical Immunology (ULB), Belgium.
Marie HallinDepartment of Microbiology, Laboratoire Hospitalier Universitaire de Bruxelles - Universitair Laboratorium Brussel (LHUB-ULB). Université Libre de Bruxelles. Rue Haute 322, 1000 Brussels, Belgium; Innovation and Business Development Unit, Laboratoire Hospitalier Universitaire de Bruxelles - Universitair Laboratorium Brussel (LHUB-ULB), Université Libre de Bruxelles, Rue Haute 322, 1000 Brussels, Belgium.
Université Libre de Bruxelles · BE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The prediction of SARS-CoV-2 immunity by commercially available serologic tests will be crucial to assess the efficacy of vaccination. We used plaque reduction neutralization testing as the reference standard to evaluate the diagnostic performance of six commercial serologic tests for monitoring SARS-CoV-2 neutralizing antibodies. Euroimmun ELISA anti-spike 1 IgG, Euroimmun anti-spike 1 IgG QuantiVac ELISA, Elecsys Anti-nucleocapsid protein total antibodies, Elecsys Anti-receptor-binding domain total antibodies, VIDAS anti-spike subdomain IgG, and Microblot-Array COVID-19 IgG assay were performed on 228 sera from 89 healthcare workers who participated in a six-month seroprevalence survey. Although all immunoassays demonstrated similar performances, VIDAS SARS-CoV-2 IgG and Euroimmun QuantiVac IgG (area under the curve 0.96 and 0.95 respectively) showed the better ability to detect Nabs. Except for the Elecsys Anti-SARS-CoV-2 and the Elecsys Anti-SARS-CoV-2 S assays, the commercial serologic tests evaluated here showed a significant decrease of antibody titers in the 6-month follow-up samples. Depending on the immunoassay, 21% to 33% of the participants became seronegative, and 16.9% had a loss of neutralizing antibodies. Microblot-Array assay results showed cross-reactivity with HCoVNL63 in only one sample, and this sample showed SARS-CoV-2 neutralizing capacity. In conclusion, our results support the use of VIDAS SARS-CoV-2 IgG, Euroimmun Anti-SARS-CoV-2 ELISA IgG, Euroimmun Anti-SARS-CoV-2 QuantiVac ELISA IgG and Microblot-Array COVID-19 IgG assays to monitor neutralizing antibody response following natural SARS-CoV-2 infection. These immunoassays could facilitate the prediction of post-vaccine protection in the long term and the allocation of booster doses.

Indexed as

COVID-19SARS-CoV-2Antibodies, NeutralizingAntibodies, ViralHumansSensitivity and SpecificitySeroepidemiologic StudiesSerologic TestsAntibodies, NeutralizingAntibodies, ViralImmunoassaysNeutralizing antibodiesSARS-CoV-2

Identifiers

PMID34607239
PMCPMC8479371
OpenAlexW3204643611

What Socratic holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.