Evidence map›Paper›PMID 37790941›Full record

SynthesisFrontiers in immunology2023

Correlation between pseudotyped virus and authentic virus neutralisation assays, a systematic review and meta-analysis of the literature.

Diego Cantoni, Craig Wilkie, Emma M Bentley, Martin Mayora-Neto, Edward Wright, Simon Scott, Surajit Ray, Javier Castillo-Olivares, Jonathan Luke Heeney, Giada Mattiuzzo and 1 more

Abstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in Frontiers in immunology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers.

0numbers the graph read from it
0cells of the map it votes in
41citing papers in PubMed
–field-weighted citation impact
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

41 citing papers in PubMed.

  1. Trial
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  14. Application of Orthoflavivirus Pseudovirus Technology in Antiviral Research.International journal of molecular sciences · 2026
    Review
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  16. Article
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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.

Diego CantoniMRC-University of Glasgow Centre for Virus Research, University of Glasgow, Glasgow, United Kingdom.
Craig WilkieSchool of Mathematics & Statistics, University of Glasgow, Glasgow, United Kingdom.
Emma M BentleyMedicines and Healthcare Products Regulatory Agency, South Mimms, United Kingdom.
Martin Mayora-NetoViral Pseudotype Unit, Medway School of Pharmacy, The Universities of Greenwich and Kent at Medway, Chatham, United Kingdom.
Edward WrightViral Pseudotype Unit, School of Life Sciences, University of Sussex, Brighton, United Kingdom.
Simon ScottViral Pseudotype Unit, Medway School of Pharmacy, The Universities of Greenwich and Kent at Medway, Chatham, United Kingdom.
Surajit RaySchool of Mathematics & Statistics, University of Glasgow, Glasgow, United Kingdom.
Javier Castillo-OlivaresLaboratory of Viral Zoonotics, Department of Veterinary Medicine, University of Cambridge, Cambridge University, Cambridge, United Kingdom.
Jonathan Luke HeeneyLaboratory of Viral Zoonotics, Department of Veterinary Medicine, University of Cambridge, Cambridge University, Cambridge, United Kingdom.
Giada MattiuzzoMedicines and Healthcare Products Regulatory Agency, South Mimms, United Kingdom.
Nigel James TempertonViral Pseudotype Unit, Medway School of Pharmacy, The Universities of Greenwich and Kent at Medway, Chatham, United Kingdom.

Funding

Department of HealthMedical Research Council MC_UU_00034/1Wellcome TrustWellcome Trust 220981/Z/20/Z
6 · The paper itself

Abstract

Background: The virus neutralization assay is a principal method to assess the efficacy of antibodies in blocking viral entry. Due to biosafety handling requirements of viruses classified as hazard group 3 or 4, pseudotyped viruses can be used as a safer alternative. However, it is often queried how well the results derived from pseudotyped viruses correlate with authentic virus. This systematic review and meta-analysis was designed to comprehensively evaluate the correlation between the two assays. Methods: Using PubMed and Google Scholar, reports that incorporated neutralisation assays with both pseudotyped virus, authentic virus, and the application of a mathematical formula to assess the relationship between the results, were selected for review. Our searches identified 67 reports, of which 22 underwent a three-level meta-analysis. Results: The three-level meta-analysis revealed a high level of correlation between pseudotyped viruses and authentic viruses when used in an neutralisation assay. Reports that were not included in the meta-analysis also showed a high degree of correlation, with the exception of lentiviral-based pseudotyped Ebola viruses. Conclusion: Pseudotyped viruses identified in this report can be used as a surrogate for authentic virus, though care must be taken in considering which pseudotype core to use when generating new uncharacterised pseudotyped viruses.

Indexed as

EbolavirusViral Pseudotypingcorrelationlive virus correlates of protectionneutralisationpseudotypevirus

Identifiers

PMID37790941
PMCPMC10544934

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.