Evidence map›Paper›PMID 28222788›Full record

ArticleBMC veterinary research2017

Antimicrobial resistance and genomic rep-PCR fingerprints of Pseudomonas aeruginosa strains from animals on the background of the global population structure.

Isa Serrano, Manuela Oliveira, José Pedro Santos, Florence Bilocq, Alexandre Leitão, Luis Tavares, Jean-Paul Pirnay, Daniel De Vos

Abstract read
In one paragraph

Article in BMC veterinary research, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Article
  2. Article
  3. Molecular Detection and Phylogenetic Analysis ofArchives of Razi Institute · 2022
    Article
  4. Distribution and Characteristics of Bacteria Isolated from Cystic Fibrosis Patients with Pulmonary Exacerbation.The Canadian journal of infectious diseases & medical microbiology = Journal canadien des maladies infectieuses et de la microbiologie medicale · 2022
    Article
  5. Article
  6. Characterization ofViruses · 2020
    Article
  7. Article
  8. Article
  9. Article
  10. Molecular epidemiology, antimicrobial susceptibility, and pulsed-field gel electrophoresis genotyping ofCanadian journal of veterinary research = Revue canadienne de recherche veterinaire · 2018
    Article
  11. 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.

Isa SerranoCIISA/Faculty of Veterinary Medicine, University of Lisbon, Lisbon, Portugal.
Manuela OliveiraCIISA/Faculty of Veterinary Medicine, University of Lisbon, Lisbon, Portugal. moliveira@fmv.ulisboa.pt.
José Pedro SantosCIISA/Faculty of Veterinary Medicine, University of Lisbon, Lisbon, Portugal.
Florence BilocqLaboratory for Molecular and Cellular Technology, Queen Astrid Military Hospital, Brussels, Belgium.
Alexandre LeitãoCIISA/Faculty of Veterinary Medicine, University of Lisbon, Lisbon, Portugal.
Luis TavaresCIISA/Faculty of Veterinary Medicine, University of Lisbon, Lisbon, Portugal.
Jean-Paul PirnayLaboratory for Molecular and Cellular Technology, Queen Astrid Military Hospital, Brussels, Belgium.
Daniel De VosLaboratory for Molecular and Cellular Technology, Queen Astrid Military Hospital, Brussels, Belgium.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPseudomonas aeruginosa is an important human opportunistic pathogen responsible for fatal nosocomial infections worldwide, and has emerged as a relevant animal pathogen. Treatment options are dramatically decreasing, due to antimicrobial resistance and the microorganism's large versatile genome. Antimicrobial resistance profiles, serotype frequency and genomic profile of unrelated P. aeruginosa isolates of veterinary origin (n = 73), including domesticated, farm, zoo and wild animals mainly from Portugal were studied. The genomic profile, determined by DiversiLab system (Rep-PCR-based technique), was compared with the P. aeruginosa global population structure to evaluate their relatedness.

resultsAround 40% of the isolates expressed serotypes O6 (20.5%) and O1 (17.8%). A total of 46.6% of isolates was susceptible to all antimicrobials tested. Isolates obtained from most animals were non-multidrug resistant (86.3%), whereas 11% were multidrug resistant, MDR (non-susceptible to at least one agent in ≥ three antimicrobial categories), and 2.7% extensively drug resistant, XDR (non-susceptible to at least one agent in all but two or fewer antimicrobial categories). Resistance percentages were as follows: amikacin (0.0%), aztreonam (41.1%), cefepime (9.6%), ceftazidime (2.7%), ciprofloxacin (15.1%), colistin (0.0%), gentamicin (12.3%), imipenem (1.4%), meropenem (1.4%), piperacillin + tazobactam (12.3%), ticarcillin (16.4%), ticarcillin + clavulanic acid (17.8%), and tobramycin (1.4%). Animal isolates form a population with a non-clonal epidemic structure indistinguishable from the global P. aeruginosa population structure, where no specific 'animal clonal lineage' was detected.

conclusionsSerotypes O6 and O1 were the most frequent. Serotype frequency and antimicrobial resistance patterns found in P. aeruginosa from animals were as expected for this species. This study confirms earlier results that P. aeruginosa has a non-clonal population structure, and shows that P. aeruginosa population from animals is homogeneously scattered and indistinguishable from the global population structure.

Indexed as

Drug Resistance, BacterialAnimalsDrug Resistance, Multiple, BacterialMolecular TypingPolymerase Chain ReactionPortugalPseudomonas aeruginosaPseudomonas InfectionsSerotypingSpecies SpecificityAnimal originAntimicrobialsEnvironmentMDRNon-clonalPopulationPseudomonas aeruginosaRep-PCRSerotypeXDR

Identifiers

PMID28222788
PMCPMC5319083

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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.