Evidence map›Paper›PMID 36220277›Full record

ArticleMethods in enzymology2022

Nanoluciferase-based cell fusion assay for rapid and high-throughput assessment of SARS-CoV-2-neutralizing antibodies in patient samples.

Max Meyrath, Martyna Szpakowska, Jean-Marc Plesseria, Olivia Domingues, Jérémie Langlet, Bernard Weber, Rejko Krüger, Markus Ollert, Andy Chevigné, CON-VINCE Consortium

Open access · bronzeAbstract read
In one paragraph

Article in Methods in enzymology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
6.6field-weighted citation impact, top 3% 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

2 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Article
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

10 authors at 1 institution in 2 countries.

Max MeyrathDepartment of Infection and Immunity, Luxembourg Institute of Health (LIH), Esch-sur-Alzette, Luxembourg; Laboratoires Réunis Luxembourg, Z.A.C. Laangwiss, Junglinster, Luxembourg.
Martyna SzpakowskaDepartment of Infection and Immunity, Luxembourg Institute of Health (LIH), Esch-sur-Alzette, Luxembourg.
Jean-Marc PlesseriaDepartment of Infection and Immunity, Luxembourg Institute of Health (LIH), Esch-sur-Alzette, Luxembourg.
Olivia DominguesDepartment of Infection and Immunity, Luxembourg Institute of Health (LIH), Esch-sur-Alzette, Luxembourg.
Jérémie LangletBusiness Development Office, Luxembourg Institute of Health (LIH), Strassen, Luxembourg.
Bernard WeberLaboratoires Réunis Luxembourg, Z.A.C. Laangwiss, Junglinster, Luxembourg.
Rejko KrügerTransversal Translational Medicine (TTM), Luxembourg Institute of Health (LIH), Strassen, Luxembourg; Luxembourg Centre for Systems Biomedicine (LCSB), University of Luxembourg, Esch-Belval, Luxembourg; Centre Hospitalier de Luxembourg (CHL), Luxembourg, Luxembourg.
Markus OllertDepartment of Infection and Immunity, Luxembourg Institute of Health (LIH), Esch-sur-Alzette, Luxembourg; Department of Dermatology and Allergy Center, Odense Research Center for Anaphylaxis, Odense University Hospital, University of Southern Denmark, Odense, Denmark.
Andy ChevignéDepartment of Infection and Immunity, Luxembourg Institute of Health (LIH), Esch-sur-Alzette, Luxembourg. Electronic address: andy.chevigne@lih.lu.
CON-VINCE Consortium
Luxembourg Institute of Health · LU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

After more than two years, COVID-19 still represents a global health burden of unprecedented extent and assessing the degree of immunity of individuals against SARS-CoV-2 remains a challenge. Virus neutralization assays represent the gold standard for assessing antibody-mediated protection against SARS-CoV-2 in sera from recovered and/or vaccinated individuals. Neutralizing antibodies block the interaction of viral spike protein with human angiotensin-converting enzyme 2 (ACE2) receptor in vitro and prevent viral entry into host cells. Classical viral neutralization assays using full replication-competent viruses are restricted to specific biosafety level 3-certified laboratories, limiting their utility for routine and large-scale applications. We developed therefore a cell-fusion-based assay building on the interaction between viral spike and ACE2 receptor expressed on two different cell lines, substantially reducing biosafety risks associated with classical viral neutralization assays. This chapter describes this simple, sensitive, safe and cost-effective approach for rapid and high-throughput evaluation of SARS-CoV-2 neutralizing antibodies relying on high-affinity NanoLuc® luciferase complementation technology (HiBiT). When applied to a variety of standards and patient samples, this method yields highly reproducible results in 96-well, as well as in 384-well format. The use of novel NanoLuc® substrates with increased signal stability like Nano-Glo® Endurazine™ furthermore allows for high flexibility in assay set-up and full automatization of all reading processes. Lastly, the assay is suitable to evaluate the neutralizing capacity of sera against the existing spike variants, and potentially variants that will emerge in the future.

Indexed as

Angiotensin-Converting Enzyme 2COVID-19Antibodies, NeutralizingAntibodies, ViralCell FusionHumansLuciferasesNeutralization TestsPeptidyl-Dipeptidase ASARS-CoV-2Spike Glycoprotein, CoronavirusAngiotensin-Converting Enzyme 2Antibodies, NeutralizingAntibodies, ViralLuciferasesnanolucPeptidyl-Dipeptidase ASpike Glycoprotein, Coronavirusspike protein, SARS-CoV-2Cell fusionCOVIDHiBiTHigh-throughputLuciferaseNanoBiTNanoLucNeutralizing antibodiesSARS-CoV-2SyncytiumVirus neutralization assay

Identifiers

PMID36220277
PMCPMC9459433
OpenAlexW4295222753

What OpenQuestion 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 OpenQuestion graph.