Evidence map›Paper›PMID 38273020›Full record

ArticleScientific reports2024

Development of a pseudo-typed virus particle based method to determine the efficacy of virucidal agents.

Jordan Thomas, Farah Mughal, Kelly J Roper, Aurelia Kotsiri, Wejdan Albalawi, Abdullateef Alshehri, Yugandhar B S Reddy, Sayandip Mukherjee, Georgios Pollakis, William A Paxton and 1 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.4field-weighted citation impact, top 44% 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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. Nature Inspired Delivery Vehicles for CRISPR-Based Genome Editing.Small (Weinheim an der Bergstrasse, Germany) · 2026
    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

11 authors at 3 institutions in 2 countries.

Jordan ThomasDepartment of Clinical Infection, Microbiology and Immunology (CIMI), Institute of Infection, Veterinary and Ecological Sciences (IVES), University of Liverpool, Liverpool, L69 7BE, UK. J.Thomas10@liverpool.ac.uk.
Farah MughalDepartment of Clinical Infection, Microbiology and Immunology (CIMI), Institute of Infection, Veterinary and Ecological Sciences (IVES), University of Liverpool, Liverpool, L69 7BE, UK.
Kelly J RoperDepartment of Clinical Infection, Microbiology and Immunology (CIMI), Institute of Infection, Veterinary and Ecological Sciences (IVES), University of Liverpool, Liverpool, L69 7BE, UK.
Aurelia KotsiriDepartment of Clinical Infection, Microbiology and Immunology (CIMI), Institute of Infection, Veterinary and Ecological Sciences (IVES), University of Liverpool, Liverpool, L69 7BE, UK.
Wejdan AlbalawiDepartment of Clinical Infection, Microbiology and Immunology (CIMI), Institute of Infection, Veterinary and Ecological Sciences (IVES), University of Liverpool, Liverpool, L69 7BE, UK.
Abdullateef AlshehriDepartment of Clinical Infection, Microbiology and Immunology (CIMI), Institute of Infection, Veterinary and Ecological Sciences (IVES), University of Liverpool, Liverpool, L69 7BE, UK.
Yugandhar B S ReddyUnilever Research & Development Centre, 64 Main Road, Whitefield, Bangalore, Karnataka, 560066, India.
Sayandip MukherjeeUnilever Research & Development Centre, 64 Main Road, Whitefield, Bangalore, Karnataka, 560066, India.
Georgios PollakisDepartment of Clinical Infection, Microbiology and Immunology (CIMI), Institute of Infection, Veterinary and Ecological Sciences (IVES), University of Liverpool, Liverpool, L69 7BE, UK. pollakis@liverpool.ac.uk.
William A PaxtonDepartment of Clinical Infection, Microbiology and Immunology (CIMI), Institute of Infection, Veterinary and Ecological Sciences (IVES), University of Liverpool, Liverpool, L69 7BE, UK. wapaxton@liverpool.ac.uk.
Michael HoptroffUnilever Research & Development, Port Sunlight, Bebington, Wirral, CH63 3JW, UK. michael.hoptroff@unilever.com.
University of Liverpool · GBUnilever (India) · INUnilever (United Kingdom) · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The ongoing Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) pandemic has highlighted the threat that viral outbreaks pose to global health. A key tool in the arsenal to prevent and control viral disease outbreaks is disinfection of equipment and surfaces with formulations that contain virucidal agents (VA). However, assessment of the efficacy of virus inactivation often requires live virus assays or surrogate viruses such as Modified Vaccinia Virus Ankara (MVA), which can be expensive, time consuming and technically challenging. Therefore, we have developed a pseudo-typed virus (PV) based approach to assess the inactivation of enveloped viruses with a fast and quantitative output that can be adapted to emerging viruses. Additionally, we have developed a method to completely remove the cytotoxicity of virucidal agents while retaining the required sensitivity to measure PV infectivity. Our results indicated that the removal of cytotoxicity was an essential step to accurately measure virus inactivation. Further, we demonstrated that there was no difference in susceptibility to virus inactivation between PVs that express the envelopes of HIV-1, SARS-CoV-2, and Influenza A/Indonesia. Therefore, we have developed an effective and safe alternative to live virus assays that enables the rapid assessment of virucidal activity for the development and optimization of virucidal reagents.

Indexed as

Influenza, HumanVirus DiseasesVirusesDisinfectionHumansVirion

Identifiers

PMID38273020
PMCPMC10810821
OpenAlexW4391230074

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.