Evidence map›Paper›PMID 28451946›Full record

ArticleFolia microbiologica2017

Using phenotype microarrays in the assessment of the antibiotic susceptibility profile of bacteria isolated from wastewater in on-site treatment facilities.

Łukasz Jałowiecki, Joanna Chojniak, Elmar Dorgeloh, Berta Hegedusova, Helene Ejhed, Jörgen Magnér, Grażyna Płaza

Abstract readEvaluation Study
In one paragraph

Article in Folia microbiologica, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Article
  3. The identification of the new speciesFrontiers in microbiology · 2023
    Article
  4. Article
  5. Article
  6. Antibiotics (Basel, Switzerland) · 2022
    Review
  7. 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

7 authors.

Łukasz JałowieckiDepartment of Environmental Microbiology, Institute for Ecology of Industrial Areas, Katowice, Poland.
Joanna ChojniakDepartment of Environmental Microbiology, Institute for Ecology of Industrial Areas, Katowice, Poland.
Elmar DorgelohDevelopment and Assessment Institute in Waste Water Technology, RWTH Aachen University, Aachen, Germany.
Berta HegedusovaDevelopment and Assessment Institute in Waste Water Technology, RWTH Aachen University, Aachen, Germany.
Helene EjhedNatural Resources and Environmental Effects, IVL Swedish Environmental Research Institute, Stockholm, Sweden.
Jörgen MagnérNatural Resources and Environmental Effects, IVL Swedish Environmental Research Institute, Stockholm, Sweden.
Grażyna PłazaDepartment of Environmental Microbiology, Institute for Ecology of Industrial Areas, Katowice, Poland. pla@ietu.katowice.pl.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The scope of the study was to apply Phenotype Biolog MicroArray (PM) technology to test the antibiotic sensitivity of the bacterial strains isolated from on-site wastewater treatment facilities. In the first step of the study, the percentage values of resistant bacteria from total heterotrophic bacteria growing on solid media supplemented with various antibiotics were determined. In the untreated wastewater, the average shares of kanamycin-, streptomycin-, and tetracycline-resistant bacteria were 53, 56, and 42%, respectively. Meanwhile, the shares of kanamycin-, streptomycin-, and tetracycline-resistant bacteria in the treated wastewater were 39, 33, and 29%, respectively. To evaluate the antibiotic susceptibility of the bacteria present in the wastewater, using the phenotype microarrays (PMs), the most common isolates from the treated wastewater were chosen: Serratia marcescens ss marcescens, Pseudomonas fluorescens, Stenotrophomonas maltophilia, Stenotrophomonas rhizophila, Microbacterium flavescens, Alcaligenes faecalis ss faecalis, Flavobacterium hydatis, Variovorax paradoxus, Acinetobacter johnsonii, and Aeromonas bestiarum. The strains were classified as multi-antibiotic-resistant bacteria. Most of them were resistant to more than 30 antibiotics from various chemical classes. Phenotype microarrays could be successfully used as an additional tool for evaluation of the multi-antibiotic resistance of environmental bacteria and in preliminary determination of the range of inhibition concentration.

Indexed as

Anti-Bacterial AgentsBacteriaDrug Resistance, BacterialMicroarray AnalysisWastewaterWater PurificationAnti-Bacterial AgentsWastewaterAntibiotic SensitivityCulturable FractionPhenotype MicroarraysRifamycinTotal Heterotrophic Bacterium

Identifiers

PMID28451946
PMCPMC5630657

What OpenQuestion holds

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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.