Evidence map›Paper›PMID 24789011›Full record

ArticlePLoS pathogens2014

Combined systems approaches reveal highly plastic responses to antimicrobial peptide challenge in Escherichia coli.

Justyna Kozlowska, Louic S Vermeer, Geraint B Rogers, Nabila Rehnnuma, Sarah-Beth T A Amos, Garrit Koller, Michael McArthur, Kenneth D Bruce, A James Mason

Abstract read
In one paragraph

Article in PLoS pathogens, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing 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

20 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Synergy between Winter Flounder antimicrobial peptides.npj antimicrobials and resistance · 2023
    Article
  7. Review
  8. Review
  9. Overexpression ofFrontiers in microbiology · 2021
    Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Review
  15. Article
  16. Review
  17. Article
  18. 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

9 authors.

Justyna KozlowskaKing's College London, Institute of Pharmaceutical Science, London, United Kingdom.
Louic S VermeerKing's College London, Institute of Pharmaceutical Science, London, United Kingdom.
Geraint B RogersKing's College London, Institute of Pharmaceutical Science, London, United Kingdom.
Nabila RehnnumaKing's College London, Institute of Pharmaceutical Science, London, United Kingdom.
Sarah-Beth T A AmosKing's College London, Institute of Pharmaceutical Science, London, United Kingdom.
Garrit KollerKing's College London, King's College London Dental Institute at Guy's, King's and St. Thomas' Hospitals, London, United Kingdom.
Michael McArthurDepartment of Molecular Microbiology, John Innes Centre, Norwich, United Kingdom.
Kenneth D BruceKing's College London, Institute of Pharmaceutical Science, London, United Kingdom.
A James MasonKing's College London, Institute of Pharmaceutical Science, London, United Kingdom.

Funding

Biotechnology and Biological Sciences Research Council BB/H01571X/1Medical Research Council G0801072Medical Research Council G0801072/87482Wellcome Trust
6 · The paper itself

Abstract

Obtaining an in-depth understanding of the arms races between peptides comprising the innate immune response and bacterial pathogens is of fundamental interest and will inform the development of new antibacterial therapeutics. We investigated whether a whole organism view of antimicrobial peptide (AMP) challenge on Escherichia coli would provide a suitably sophisticated bacterial perspective on AMP mechanism of action. Selecting structurally and physically related AMPs but with expected differences in bactericidal strategy, we monitored changes in bacterial metabolomes, morphological features and gene expression following AMP challenge at sub-lethal concentrations. For each technique, the vast majority of changes were specific to each AMP, with such a plastic response indicating E. coli is highly capable of discriminating between specific antibiotic challenges. Analysis of the ontological profiles generated from the transcriptomic analyses suggests this approach can accurately predict the antibacterial mode of action, providing a fresh, novel perspective for previous functional and biophysical studies.

Indexed as

Adaptation, BiologicalAmino Acid SequenceAnti-Bacterial AgentsAntimicrobial Cationic PeptidesDose-Response Relationship, DrugEscherichia coliGene Expression Regulation, BacterialMetabolomicsMicrobial Sensitivity TestsMicroscopy, Electron, ScanningMicroscopy, Electron, TransmissionMolecular Sequence DataNuclear Magnetic Resonance, BiomolecularTranscriptomeAnti-Bacterial AgentsAntimicrobial Cationic Peptides

Identifiers

PMID24789011
PMCPMC4006907

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.