Evidence map›Paper›PMID 25636848›Full record

ArticleApplied and environmental microbiology2015

Development of a protocol for predicting bacterial resistance to microbicides.

Laura Knapp, Alejandro Amézquita, Peter McClure, Sara Stewart, Jean-Yves Maillard

Open access · bronzeAbstract readValidation Study
In one paragraph

Article in Applied and environmental microbiology, 2015. 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
2.3field-weighted citation impact, top 13% 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, 56 citations in OpenAlex.

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  10. Priming with biocides: A pathway to antibiotic resistance?Journal of applied microbiology · 2022
    Article
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  15. Ethylzingerone, a Novel Compound with Antifungal Activity.Antimicrobial agents and chemotherapy · 2021
    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

5 authors at 2 institutions in 1 country.

Laura KnappCardiff School of Pharmacy and Pharmaceutical Science, Cardiff, Wales, United Kingdom.
Alejandro AmézquitaUnilever Safety and Environmental Assurance Centre, Colworth Science Park, Bedford, United Kingdom.
Peter McClureUnilever Safety and Environmental Assurance Centre, Colworth Science Park, Bedford, United Kingdom.
Sara StewartUnilever Safety and Environmental Assurance Centre, Colworth Science Park, Bedford, United Kingdom.
Jean-Yves MaillardCardiff School of Pharmacy and Pharmaceutical Science, Cardiff, Wales, United Kingdom maillardj@cardiff.ac.uk.
Unilever (United Kingdom) · GBCardiff University · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Regulations dealing with microbicides in Europe and the United States are evolving and now require data on the risk of the development of resistance in organisms targeted by microbicidal products. There is no standard protocol to assess the risk of the development of resistance to microbicidal formulations. This study aimed to validate the use of changes in microbicide and antibiotic susceptibility as initial markers for predicting microbicide resistance and cross-resistance to antibiotics. Three industrial isolates (Pseudomonas aeruginosa, Burkholderia cepacia, and Klebsiella pneumoniae) and two Salmonella enterica serovar Typhimurium strains (SL1344 and 14028S) were exposed to a shampoo, a mouthwash, eye makeup remover, and the microbicides contained within these formulations (chlorhexidine digluconate [CHG] and benzalkonium chloride [BZC]) under realistic, in-use conditions. Baseline and postexposure data were compared. No significant increases in the MIC or the minimum bactericidal concentration (MBC) were observed for any strain after exposure to the three formulations. Increases as high as 100-fold in the MICs and MBCs of CHG and BZC for SL1344 and 14028S were observed but were unstable. Changes in antibiotic susceptibility were not clinically significant. The use of MICs and MBCs combined with antibiotic susceptibility profiling and stability testing generated reproducible data that allowed for an initial prediction of the development of resistance to microbicides. These approaches measure characteristics that are directly relevant to the concern over resistance and cross-resistance development following the use of microbicides. These are low-cost, high-throughput techniques, allowing manufacturers to provide to regulatory bodies, promptly and efficiently, data supporting an early assessment of the risk of resistance development.

Indexed as

Drug Resistance, Multiple, BacterialAnti-Bacterial AgentsBacteriaBenzalkonium CompoundsBurkholderia cepaciaChlorhexidineCosmeticsEnterobacteriaceaeMicrobial Sensitivity TestsPseudomonas aeruginosaAnti-Bacterial AgentsBenzalkonium CompoundsChlorhexidinechlorhexidine gluconateCosmetics

Identifiers

PMID25636848
PMCPMC4375328
OpenAlexW1979653541

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.