Evidence map›Paper›PMID 26041902›Full record

ArticleJournal of clinical microbiology2015

High-Resolution Analysis by Whole-Genome Sequencing of an International Lineage (Sequence Type 111) of Pseudomonas aeruginosa Associated with Metallo-Carbapenemases in the United Kingdom.

Jane F Turton, Laura Wright, Anthony Underwood, Adam A Witney, Yuen-Ting Chan, Ali Al-Shahib, Catherine Arnold, Michel Doumith, Bharat Patel, Timothy D Planche and 3 more

Abstract read
In one paragraph

Article in Journal of clinical microbiology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.

0numbers the graph read from it
0cells of the map it votes in
33citing 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

33 citing papers in PubMed.

  1. Adaptive evolution ofMicrobial genomics · 2026
    Article
  2. Article
  3. Article
  4. Review
  5. High-riskHeliyon · 2025
    Article
  6. Article
  7. Evolution and host-specific adaptation ofScience (New York, N.Y.) · 2024
    Article
  8. Article
  9. Article
  10. Article
  11. Antibiotic Resistance in Pseudomonas.Advances in experimental medicine and biology · 2022
    Article
  12. CRISPR Element Patterns vs. Pathoadaptability of ClinicalAntibiotics (Basel, Switzerland) · 2021
    Article
  13. Article
  14. Article
  15. Article
  16. Genomic and Phenotypic Analysis of Multidrug-ResistantPathogens (Basel, Switzerland) · 2021
    Article
  17. Review
  18. Review
  19. Emerging Strategies to Combat β-Lactamase Producing ESKAPE Pathogens.International journal of molecular sciences · 2020
    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

13 authors.

Jane F TurtonAntimicrobial Resistance and Healthcare Associated Infections (AMRHAI) Reference Unit, Public Health England, Colindale, London, United Kingdom jane.turton@phe.gov.uk.
Laura WrightAntimicrobial Resistance and Healthcare Associated Infections (AMRHAI) Reference Unit, Public Health England, Colindale, London, United Kingdom.
Anthony UnderwoodInfectious Disease Informatics, Public Health England, Colindale, London, United Kingdom.
Adam A WitneyInstitute of Infection and Immunity, St. George's University of London, London, United Kingdom.
Yuen-Ting ChanGenomic Services and Development Unit, Public Health England, Colindale, London, United Kingdom.
Ali Al-ShahibInfectious Disease Informatics, Public Health England, Colindale, London, United Kingdom.
Catherine ArnoldGenomic Services and Development Unit, Public Health England, Colindale, London, United Kingdom.
Michel DoumithAntimicrobial Resistance and Healthcare Associated Infections (AMRHAI) Reference Unit, Public Health England, Colindale, London, United Kingdom.
Bharat PatelPublic Health Laboratory London, Whitechapel, London, United Kingdom.
Timothy D PlancheInstitute of Infection and Immunity, St. George's University of London, London, United Kingdom Department of Microbiology, St George's Healthcare NHS Trust, London, United Kingdom.
Jonathan GreenInfectious Disease Informatics, Public Health England, Colindale, London, United Kingdom.
Richard HollimanPublic Health Laboratory London, Whitechapel, London, United Kingdom Institute of Infection and Immunity, St. George's University of London, London, United Kingdom Department of Microbiology, St George's Healthcare NHS Trust, London, United Kingdom.
Neil WoodfordAntimicrobial Resistance and Healthcare Associated Infections (AMRHAI) Reference Unit, Public Health England, Colindale, London, United Kingdom.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Whole-genome sequencing (WGS) was carried out on 87 isolates of sequence type 111 (ST-111) of Pseudomonas aeruginosa collected between 2005 and 2014 from 65 patients and 12 environmental isolates from 24 hospital laboratories across the United Kingdom on an Illumina HiSeq instrument. Most isolates (73) carried VIM-2, but others carried IMP-1 or IMP-13 (5) or NDM-1 (1); one isolate had VIM-2 and IMP-18, and 7 carried no metallo-beta-lactamase (MBL) gene. Single nucleotide polymorphism analysis divided the isolates into distinct clusters; the NDM-1 isolate was an outlier, and the IMP isolates and 6/7 MBL-negative isolates clustered separately from the main set of 73 VIM-2 isolates. Within the VIM-2 set, there were at least 3 distinct clusters, including a tightly clustered set of isolates from 3 hospital laboratories consistent with an outbreak from a single introduction that was quickly brought under control and a much broader set dominated by isolates from a long-running outbreak in a London hospital likely seeded from an environmental source, requiring different control measures; isolates from 7 other hospital laboratories in London and southeast England were also included. Bayesian evolutionary analysis indicated that all the isolates shared a common ancestor dating back ∼50 years (1960s), with the main VIM-2 set separating approximately 20 to 30 years ago. Accessory gene profiling revealed blocks of genes associated with particular clusters, with some having high similarity (≥95%) to bacteriophage genes. WGS of widely found international lineages such as ST-111 provides the necessary resolution to inform epidemiological investigations and intervention policies.

Indexed as

Environmental MicrobiologyGenome, BacterialGenotypeSequence Analysis, DNABacterial Proteinsbeta-LactamasesCluster AnalysisDisease OutbreaksEvolution, MolecularHigh-Throughput Nucleotide SequencingHumansMolecular EpidemiologyMolecular Sequence DataPolymorphism, Single NucleotidePseudomonas aeruginosaPseudomonas InfectionsBacterial Proteinsbeta-Lactamasescarbapenemase

Identifiers

PMID26041902
PMCPMC4508460

What OpenQuestion holds

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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.