Evidence map›Paper›PMID 33162987›Full record

ArticleFrontiers in immunology2020

A Novel In-Cell ELISA Assay Allows Rapid and Automated Quantification of SARS-CoV-2 to Analyze Neutralizing Antibodies and Antiviral Compounds.

Lara Schöler, Vu Thuy Khanh Le-Trilling, Mareike Eilbrecht, Denise Mennerich, Olympia E Anastasiou, Adalbert Krawczyk, Anke Herrmann, Ulf Dittmer, Mirko Trilling

Open access · goldAbstract read
In one paragraph

Article in Frontiers in immunology, 2020. 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
0.9field-weighted citation impact, top 14% 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, 48 citations in OpenAlex.

  1. Article
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  4. Heliyon · 2024
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  14. Severe Acute Respiratory Syndrome Coronavirus 2 Vaccination Boosts Neutralizing Activity Against Seasonal Human Coronaviruses.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2022
    Article
  15. Article
  16. Article
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  18. Differential interferon-α subtype induced immune signatures are associated with suppression of SARS-CoV-2 infection.Proceedings of the National Academy of Sciences of the United States of America · 2022
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  19. Review
  20. Review
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

9 authors at 1 institution in 1 country.

Lara SchölerInstitute for Virology, University Hospital Essen, University of Duisburg-Essen, Essen, Germany.
Vu Thuy Khanh Le-TrillingInstitute for Virology, University Hospital Essen, University of Duisburg-Essen, Essen, Germany.
Mareike EilbrechtInstitute for Virology, University Hospital Essen, University of Duisburg-Essen, Essen, Germany.
Denise MennerichInstitute for Virology, University Hospital Essen, University of Duisburg-Essen, Essen, Germany.
Olympia E AnastasiouInstitute for Virology, University Hospital Essen, University of Duisburg-Essen, Essen, Germany.
Adalbert KrawczykInstitute for Virology, University Hospital Essen, University of Duisburg-Essen, Essen, Germany.
Anke HerrmannInstitute for Virology, University Hospital Essen, University of Duisburg-Essen, Essen, Germany.
Ulf DittmerInstitute for Virology, University Hospital Essen, University of Duisburg-Essen, Essen, Germany.
Mirko TrillingInstitute for Virology, University Hospital Essen, University of Duisburg-Essen, Essen, Germany.
University of Duisburg-Essen · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The coronavirus disease 2019 (COVID-19) caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is currently the most pressing medical and socioeconomic challenge. Constituting important correlates of protection, the determination of virus-neutralizing antibodies (NAbs) is indispensable for convalescent plasma selection, vaccine candidate evaluation, and immunity certificates. In contrast to standard serological ELISAs, plaque reduction neutralization tests (PRNTs) are laborious, time-consuming, expensive, and restricted to specialized laboratories. To replace microscopic counting-based SARS-CoV-2 PRNTs by a novel assay exempt from genetically modified viruses, which are inapplicable in most diagnostics departments, we established a simple, rapid, and automated SARS-CoV-2 neutralization assay employing an in-cell ELISA (icELISA) approach. After optimization of various parameters such as virus-specific antibodies, cell lines, virus doses, and duration of infection, SARS-CoV-2-infected cells became amenable as direct antigen source for quantitative icELISA. Antiviral agents such as human sera containing NAbs or antiviral interferons dose dependently reduced the SARS-CoV-2-specific signal. Applying increased infectious doses, the icELISA-based neutralization test (icNT) was superior to PRNT in discriminating convalescent sera with high from those with intermediate neutralizing capacities. In addition, the icNT was found to be specific, discriminating between SARS-CoV-2-specific NAbs and those raised against other coronaviruses. Altogether, the SARS-CoV-2 icELISA test allows rapid (<48 h in total, read-out in seconds) and automated quantification of virus infection in cell culture to evaluate the efficacy of NAbs and antiviral drugs using reagents and equipment present in most routine diagnostics departments.

Indexed as

AnimalsAntibodies, NeutralizingAntibodies, ViralAntiviral AgentsCaco-2 CellsChlorocebus aethiopsCOVID-19COVID-19 SerotherapyCOVID-19 TestingDiagnostic Tests, RoutineEnzyme-Linked Immunosorbent AssayHumansImmunization, PassiveNeutralization TestsSARS-CoV-2Vero CellsAntibodies, NeutralizingAntibodies, ViralAntiviral AgentsantibodiesCOVID-19interferonneutralizingSARS-CoV-2vaccine

Identifiers

PMID33162987
PMCPMC7581787
OpenAlexW3091907608

What OpenQuestion holds

Textmetadata
LicenceCC BY
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 OpenQuestion graph.