Evidence map›Paper›PMID 39362854›Full record

ArticleNature communications2024

Targeting Pseudomonas aeruginosa biofilm with an evolutionary trained bacteriophage cocktail exploiting phage resistance trade-offs.

Fabian Kunisch, Claudia Campobasso, Jeroen Wagemans, Selma Yildirim, Benjamin K Chan, Christoph Schaudinn, Rob Lavigne, Paul E Turner, Michael J Raschke, Andrej Trampuz and 1 more

Abstract read
In one paragraph

Article in Nature communications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers.

0numbers the graph read from it
0cells of the map it votes in
43citing 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

43 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. Article
  5. Review
  6. Article
  7. Review
  8. Review
  9. Review
  10. Bacteriophage-mediated reduction of Pseudomonas aeruginosa biofilm on titanium surfaces for biomedical applications.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2026
    Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Review
  17. Article
  18. Article
  19. Phage-Based Approaches to ChronicAntibiotics (Basel, Switzerland) · 2026
    Review
  20. 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

11 authors.

Fabian KunischFaculty of Medicine, Universität Münster, Münster, Germany.ORCID 0009-0009-4591-4336
Claudia CampobassoDepartment of Biosystems, KU Leuven, Leuven, Belgium.
Jeroen WagemansDepartment of Biosystems, KU Leuven, Leuven, Belgium.ORCID 0000-0002-2185-5724
Selma YildirimBerlin Institute of Health at Charité - Universitätsmedizin Berlin, BIH Center for Regenerative Therapies (BCRT), Berlin, Germany.
Benjamin K ChanDepartment of Ecology and Evolutionary Biology, Yale University, New Haven, CT, USA.
Christoph SchaudinnAdvanced Light and Electron Microscopy (Zentrum für Biologische Gefahren und Spezielle Pathogene 4), Robert Koch Institute, Berlin, Germany.
Rob LavigneDepartment of Biosystems, KU Leuven, Leuven, Belgium.ORCID 0000-0001-7377-1314
Paul E TurnerDepartment of Ecology and Evolutionary Biology, Yale University, New Haven, CT, USA.ORCID 0000-0003-3490-7498
Michael J RaschkeFaculty of Medicine, Universität Münster, Münster, Germany.
Andrej TrampuzCenter for Musculoskeletal Surgery, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany. andrej.trampuz@qut.edu.au.ORCID 0000-0002-5219-2521
Mercedes Gonzalez MorenoCenter for Musculoskeletal Surgery, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany.ORCID 0000-0003-3586-6544

Funding

Bundesministerium für Bildung und Forschung (Federal Ministry of Education and Research) 01KI1823
6 · The paper itself

Abstract

Spread of multidrug-resistant Pseudomonas aeruginosa strains threatens to render currently available antibiotics obsolete, with limited prospects for the development of new antibiotics. Lytic bacteriophages, the viruses of bacteria, represent a path to combat this threat. In vitro-directed evolution is traditionally applied to expand the bacteriophage host range or increase bacterial suppression in planktonic cultures. However, while up to 80% of human microbial infections are biofilm-associated, research towards targeted improvement of bacteriophages' ability to combat biofilms remains scarce. This study aims at an in vitro biofilm evolution assay to improve multiple bacteriophage parameters in parallel and the optimisation of bacteriophage cocktail design by exploiting a bacterial bacteriophage resistance trade-off. The evolved bacteriophages show an expanded host spectrum, improved antimicrobial efficacy and enhanced antibiofilm performance, as assessed by isothermal microcalorimetry and quantitative polymerase chain reaction, respectively. Our two-phage cocktail reveals further improved antimicrobial efficacy without incurring dual-bacteriophage-resistance in treated bacteria. We anticipate this assay will allow a better understanding of phenotypic-genomic relationships in bacteriophages and enable the training of bacteriophages against other desired pathogens. This, in turn, will strengthen bacteriophage therapy as a treatment adjunct to improve clinical outcomes of multidrug-resistant bacterial infections.

Indexed as

Anti-Bacterial AgentsBacteriophagesBiofilmsPseudomonas aeruginosaDrug Resistance, Multiple, BacterialHost SpecificityHumansMicrobial Sensitivity TestsPhage TherapyPseudomonas InfectionsPseudomonas PhagesAnti-Bacterial Agents

Identifiers

PMID39362854
PMCPMC11450229

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.