Evidence map›Paper›PMID 27199920›Full record

ArticleFrontiers in microbiology2016

Antibiotic Resistance Patterns of Pseudomonas spp. Isolated from the River Danube.

Clemens Kittinger, Michaela Lipp, Rita Baumert, Bettina Folli, Günther Koraimann, Daniela Toplitsch, Astrid Liebmann, Andrea J Grisold, Andreas H Farnleitner, Alexander Kirschner and 1 more

Abstract read
In one paragraph

Article in Frontiers in microbiology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing 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

25 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Antibiogram Profile and Detection of Resistance Genes inAntibiotics (Basel, Switzerland) · 2023
    Article
  7. Antibiotics (Basel, Switzerland) · 2022
    Review
  8. Article
  9. Article
  10. Article
  11. Triclosan Tolerance Is Driven by a Conserved Mechanism in DiverseApplied and environmental microbiology · 2021
    Article
  12. Review
  13. Article
  14. Frontiers in microbiology · 2020
    Article
  15. Antibiotic Resistance Patterns ofFrontiers in microbiology · 2020
    Article
  16. Review
  17. Article
  18. Article
  19. Article
  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.

Clemens KittingerInstitute of Hygiene, Microbiology and Environmental Medicine, Medical University Graz Graz, Austria.
Michaela LippInstitute of Hygiene, Microbiology and Environmental Medicine, Medical University Graz Graz, Austria.
Rita BaumertInstitute of Hygiene, Microbiology and Environmental Medicine, Medical University Graz Graz, Austria.
Bettina FolliInstitute of Hygiene, Microbiology and Environmental Medicine, Medical University Graz Graz, Austria.
Günther KoraimannInstitute of Molecular Biosciences, University of Graz Graz, Austria.
Daniela ToplitschInstitute of Hygiene, Microbiology and Environmental Medicine, Medical University GrazGraz, Austria; Institute of Molecular Biosciences, University of GrazGraz, Austria.
Astrid LiebmannInstitute of Hygiene, Microbiology and Environmental Medicine, Medical University GrazGraz, Austria; Institute of Molecular Biosciences, University of GrazGraz, Austria.
Andrea J GrisoldInstitute of Hygiene, Microbiology and Environmental Medicine, Medical University Graz Graz, Austria.
Andreas H FarnleitnerInteruniversity Cooperation Centre for Water and HealthVienna, Austria; Research Group Environmental Microbiology and Molecular Ecology, Institute of Chemical Engineering, Vienna University of TechnologyVienna, Austria.
Alexander KirschnerInteruniversity Cooperation Centre for Water and HealthVienna, Austria; Institute for Hygiene and Applied Immunology, Medical University of ViennaVienna, Austria.
Gernot ZarfelInstitute of Hygiene, Microbiology and Environmental Medicine, Medical University Graz Graz, Austria.

Funding

Austrian Science Fund FWF P 25817
6 · The paper itself

Abstract

Spread and persistence of antibiotic resistance pose a severe threat to human health, yet there is still lack of knowledge about reservoirs of antibiotic resistant bacteria in the environment. We took the opportunity of the Joint Danube Survey 3 (JDS3), the world's biggest river research expedition of its kind in 2013, to analyse samples originating from different sampling points along the whole length of the river. Due to its high clinical relevance, we concentrated on the characterization of Pseudomonas spp. and evaluated the resistance profiles of Pseudomonas spp. which were isolated from eight sampling points. In total, 520 Pseudomonas isolates were found, 344 (66.0%) isolates were identified as Pseudomonas putida, and 141 (27.1%) as Pseudomonas fluorescens, all other Pseudomonas species were represented by less than five isolates, among those two P. aeruginosa isolates. Thirty seven percent (37%) of all isolated Pseudomonas species showed resistance to at least one out of 10 tested antibiotics. The most common resistance was against meropenem (30.4%/158 isolates) piperacillin/tazobactam (10.6%/55 isolates) and ceftazidime (4.2%/22 isolates). 16 isolates (3.1%/16 isolates) were multi-resistant. For each tested antibiotic at least one resistant isolate could be detected. Sampling points from the upper stretch of the River Danube showed more resistant isolates than downriver. Our results suggest that antibiotic resistance can be acquired by and persists even in Pseudomonas species that are normally not in direct contact with humans. A possible scenario is that these bacteria provide a reservoir of antibiotic resistance genes that can spread to related human pathogens by horizontal gene transfer.

Indexed as

antibiotic resistanceDanubeJDS3Pseudomonaswater

Identifiers

PMID27199920
PMCPMC4853796

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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.