Evidence map›Paper›PMID 38954678›Full record

ArticlePLoS biology2024

The evolution of antimicrobial peptide resistance in Pseudomonas aeruginosa is severely constrained by random peptide mixtures.

Bernardo Antunes, Caroline Zanchi, Paul R Johnston, Bar Maron, Christopher Witzany, Roland R Regoes, Zvi Hayouka, Jens Rolff

Abstract read
In one paragraph

Article in PLoS biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Artificial intelligence catalyzes antimicrobial peptide design.Synthetic and systems biotechnology · 2027
    Review
  2. Article
  3. Review
  4. Characterization of two exoUBMC microbiology · 2026
    Article
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  6. Review
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  8. 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

8 authors.

Bernardo AntunesFreie Universität Berlin, Evolutionary Biology, Berlin, Germany.ORCID 0000-0002-6810-5453
Caroline ZanchiFreie Universität Berlin, Evolutionary Biology, Berlin, Germany.ORCID 0000-0003-4097-9375
Paul R JohnstonFreie Universität Berlin, Evolutionary Biology, Berlin, Germany.
Bar MaronInstitute of Biochemistry, Food Science and Nutrition, The Hebrew University of Jerusalem, Rehovot, Israel.
Christopher WitzanyInstitute of Integrative Biology, ETH Zurich, Zurich, Switzerland.
Roland R RegoesInstitute of Integrative Biology, ETH Zurich, Zurich, Switzerland.
Zvi HayoukaInstitute of Biochemistry, Food Science and Nutrition, The Hebrew University of Jerusalem, Rehovot, Israel.
Jens RolffFreie Universität Berlin, Evolutionary Biology, Berlin, Germany.ORCID 0000-0002-1529-5409

Funding

DFGFreie Universität Berlin (FUB)Hebrew University of Jerusalem (HUJI)Volkswagen Foundation
6 · The paper itself

Abstract

The prevalence of antibiotic-resistant pathogens has become a major threat to public health, requiring swift initiatives for discovering new strategies to control bacterial infections. Hence, antibiotic stewardship and rapid diagnostics, but also the development, and prudent use, of novel effective antimicrobial agents are paramount. Ideally, these agents should be less likely to select for resistance in pathogens than currently available conventional antimicrobials. The usage of antimicrobial peptides (AMPs), key components of the innate immune response, and combination therapies, have been proposed as strategies to diminish the emergence of resistance. Herein, we investigated whether newly developed random antimicrobial peptide mixtures (RPMs) can significantly reduce the risk of resistance evolution in vitro to that of single sequence AMPs, using the ESKAPE pathogen Pseudomonas aeruginosa (P. aeruginosa) as a model gram-negative bacterium. Infections of this pathogen are difficult to treat due the inherent resistance to many drug classes, enhanced by the capacity to form biofilms. P. aeruginosa was experimentally evolved in the presence of AMPs or RPMs, subsequentially assessing the extent of resistance evolution and cross-resistance/collateral sensitivity between treatments. Furthermore, the fitness costs of resistance on bacterial growth were studied and whole-genome sequencing used to investigate which mutations could be candidates for causing resistant phenotypes. Lastly, changes in the pharmacodynamics of the evolved bacterial strains were examined. Our findings suggest that using RPMs bears a much lower risk of resistance evolution compared to AMPs and mostly prevents cross-resistance development to other treatments, while maintaining (or even improving) drug sensitivity. This strengthens the case for using random cocktails of AMPs in favour of single AMPs, against which resistance evolved in vitro, providing an alternative to classic antibiotics worth pursuing.

Indexed as

Anti-Bacterial AgentsAntimicrobial PeptidesMicrobial Sensitivity TestsPseudomonas aeruginosaBiofilmsDrug Resistance, BacterialPseudomonas InfectionsAnti-Bacterial AgentsAntimicrobial Peptides

Identifiers

PMID38954678
PMCPMC11218975

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Registered trials

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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.