Evidence map›Paper›PMID 36342287›Full record

ArticleMicrobiology spectrum2022

Parallel Evolution of Pseudomonas aeruginosa during a Prolonged ICU-Infection Outbreak.

David R Cameron, Melissa Pitton, Simone Oberhaensli, Katja Schlegel, Guy Prod'hom, Dominique S Blanc, Stephan M Jakob, Yok-Ai Que

Open access · goldAbstract read
In one paragraph

Article in Microbiology spectrum, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.0field-weighted citation impact, top 26% 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

12 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Insights on pathoadaptation of sequentialMicrobiology spectrum · 2025
    Article
  5. Evolution of Resistant Mutants inMicroorganisms · 2025
    Article
  6. Article
  7. Article
  8. Article
  9. High prevalence of carbapenem-resistantFrontiers in microbiology · 2025
    Article
  10. Article
  11. Article
  12. 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

8 authors at 2 institutions in 1 country.

David R CameronDepartment of Intensive Care Medicine, Inselspital, Bern University Hospital, University of Berngrid.5734.5, Bern, Switzerland.
Melissa PittonDepartment of Intensive Care Medicine, Inselspital, Bern University Hospital, University of Berngrid.5734.5, Bern, Switzerland.
Simone OberhaensliInterfaculty Bioinformatics Unit and SIB Swiss Institute of Bioinformatics, University of Berngrid.5734.5, Bern, Switzerland.
Katja SchlegelInstitute of Psychology, University of Berngrid.5734.5, Bern, Switzerland.
Guy Prod'homInstitute of Microbiology, Lausanne University Hospital and University of Lausannegrid.9851.5, Lausanne, Switzerland.
Dominique S BlancService of Hospital Preventive Medicine, Lausanne University Hospital and University of Lausannegrid.9851.5, Lausanne, Switzerland.
Stephan M JakobDepartment of Intensive Care Medicine, Inselspital, Bern University Hospital, University of Berngrid.5734.5, Bern, Switzerland.
Yok-Ai QueDepartment of Intensive Care Medicine, Inselspital, Bern University Hospital, University of Berngrid.5734.5, Bern, Switzerland.ORCID 0000-0001-9443-6101
University of Bern · CHUniversity of Lausanne · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Most knowledge about Pseudomonas aeruginosa pathoadaptation is derived from studies on airway colonization in cystic fibrosis; little is known about adaptation in acute settings. P. aeruginosa frequently affects burned patients and the burn wound niche has distinct properties that likely influence pathoadaptation. This study aimed to genetically and phenotypically characterize P. aeruginosa isolates collected during an outbreak of infection in a burn intensive care unit (ICU). Sequencing reads from 58 isolates of ST1076 P. aeruginosa taken from 23 patients were independently mapped to a complete reference genome for the lineage (H25338); genetic differences were identified and were used to define the population structure. Comparative genomic analysis at single-nucleotide resolution identified pathoadaptive genes that evolved multiple, independent mutations. Three key phenotypic assays (growth performance, motility, carbapenem resistance) were performed to complement the genetic analysis for 47 unique isolates. Population structure for the ST1076 lineage revealed 11 evolutionary sublineages. Fifteen pathoadaptive genes evolved mutations in at least two sublineages. The most prominent functional classes affected were transcription/two-component regulatory systems, and chemotaxis/motility and attachment. The most frequently mutated gene was

Indexed as

Pseudomonas aeruginosaPseudomonas InfectionsAnti-Bacterial AgentsCarbapenemsDisease OutbreaksHumansMicrobial Sensitivity TestsMutationPorinsAnti-Bacterial AgentsCarbapenemsPorinsadaptative evolutionantibiotic resistancecarbapenemsoprDouter membrane porin D

Identifiers

PMID36342287
PMCPMC9769503
OpenAlexW4308366882

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.