Evidence map›Paper›PMID 40607907›Full record

ArticleeLife2025

Heterogeneous efflux pump expression underpins phenotypic resistance to antimicrobial peptides.

Ka Kiu Lee, Urszula Łapińska, Giulia Tolle, Maureen Micaletto, Bing Zhang, Wanida Phetsang, Anthony D Verderosa, Brandon M Invergo, Joseph Westley, Attila Bebes and 10 more

Abstract read
In one paragraph

Article in eLife, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Review
  6. Article
  7. Review
  8. Article
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  10. 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

20 authors.

Ka Kiu LeeLiving Systems Institute, University of Exeter, Exeter, United Kingdom.ORCID https://orcid.org/0000-0002-2061-3694
Urszula ŁapińskaLiving Systems Institute, University of Exeter, Exeter, United Kingdom.
Giulia TolleDepartment of Life and Environmental Sciences, University of Cagliari, Cittadella Universitaria, Cagliari, Italy.
Maureen MicalettoLiving Systems Institute, University of Exeter, Exeter, United Kingdom.
Bing ZhangCentre for Superbug Solutions, Institute for Molecular Bioscience, The University of Queensland, St. Lucia, Brisbane, Australia.
Wanida PhetsangCentre for Superbug Solutions, Institute for Molecular Bioscience, The University of Queensland, St. Lucia, Brisbane, Australia.
Anthony D VerderosaCentre for Superbug Solutions, Institute for Molecular Bioscience, The University of Queensland, St. Lucia, Brisbane, Australia.
Brandon M InvergoProcess Integration and Predictive Analytics, PIPA LLC, Davis, United States.
Joseph WestleyCentre for Ecology and Conservation and Environment and Sustainability Institute, University of Exeter, Exeter, United Kingdom.
Attila BebesBiosciences, University of Exeter, Exeter, United Kingdom.
Raif YuecelBiosciences, University of Exeter, Exeter, United Kingdom.
Paul A O'NeillBiosciences, University of Exeter, Exeter, United Kingdom.
Audrey FarbosBiosciences, University of Exeter, Exeter, United Kingdom.
Aaron R JeffriesBiosciences, University of Exeter, Exeter, United Kingdom.
Stineke van HouteCentre for Ecology and Conservation and Environment and Sustainability Institute, University of Exeter, Exeter, United Kingdom.
Pierluigi CaboniDepartment of Life and Environmental Sciences, University of Cagliari, Cittadella Universitaria, Cagliari, Italy.
Mark A T BlaskovichCentre for Superbug Solutions, Institute for Molecular Bioscience, The University of Queensland, St. Lucia, Brisbane, Australia.
Benjamin E HousdenLiving Systems Institute, University of Exeter, Exeter, United Kingdom.ORCID https://orcid.org/0000-0001-9134-4279
Krasimira Tsaneva-AtanasovaLiving Systems Institute, University of Exeter, Exeter, United Kingdom.ORCID https://orcid.org/0000-0002-6294-7051
Stefano PagliaraLiving Systems Institute, University of Exeter, Exeter, United Kingdom.ORCID https://orcid.org/0000-0001-9796-1956

Funding

Biotechnology and Biological Sciences Research Council BB/K003240/1Biotechnology and Biological Sciences Research Council BB/V008021/1Engineering and Physical Sciences Research Council EP/T017856/1Engineering and Physical Sciences Research Council EP/Y023528/1Living Systems Institute PhD studentshipMedical Research Council MR/V009583/1Medical Research Council MR/Y033892/1Wellcome TrustWellcome Trust 10.35802/097835Wellcome Trust 10.35802/101650
6 · The paper itself

Abstract

Antimicrobial resistance threatens the viability of modern medical interventions. There is a dire need to develop novel approaches to counter resistance mechanisms employed by starved or slow-growing pathogens that are refractory to conventional antimicrobial therapies. Antimicrobial peptides have been advocated as potential therapeutic solutions due to the low levels of genetic resistance observed in bacteria against these compounds. However, here we show that subpopulations of stationary phase

Indexed as

Anti-Bacterial AgentsAntimicrobial Cationic PeptidesAntimicrobial PeptidesDrug Resistance, BacterialEscherichia coliPeptides, CyclicPseudomonas aeruginosaGene Expression Regulation, BacterialMicrobial Sensitivity TestsMicrobial ViabilityPhenotypeSertralineAnti-Bacterial AgentsAntimicrobial Cationic PeptidesAntimicrobial PeptidesPeptides, CyclicSertralineantibiotic accumulationantibioticsantimicrobial peptidesantimicrobial resistanceE. coliefflux pump inhibitorsefflux pumpsgene expressionheterogeneityinfectious diseasemembrane transportmicrobiologymicrofluidicsphysics of living systemsstationary phasetranscriptomics

Identifiers

PMID40607907
PMCPMC12226021

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.