Evidence map›Paper›PMID 27433156›Full record

ArticleFrontiers in microbiology2016

Use of Aeromonas spp. as General Indicators of Antimicrobial Susceptibility among Bacteria in Aquatic Environments in Thailand.

Masaru Usui, Chie Tagaki, Akira Fukuda, Torahiko Okubo, Chanchai Boonla, Satoru Suzuki, Kanako Seki, Hideshige Takada, Yutaka Tamura

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, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed, 1 pooled it
–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 synthesis or guideline pooled it.

  1. Pooled it
  2. CharacterizingAntibiotics (Basel, Switzerland) · 2026
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  4. Antibiotics (Basel, Switzerland) · 2025
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  5. Article
  6. Frontiers in microbiology · 2025
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  7. Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. Cross-sectional analysis of risk factors associated withFrontiers in cellular and infection microbiology · 2024
    Article
  14. Article
  15. Novel insights into genetic characteristics ofFrontiers in microbiology · 2023
    Article
  16. Article
  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

9 authors.

Masaru UsuiSchool of Veterinary Medicine, Rakuno Gakuen University Ebetsu, Japan.
Chie TagakiSchool of Veterinary Medicine, Rakuno Gakuen University Ebetsu, Japan.
Akira FukudaSchool of Veterinary Medicine, Rakuno Gakuen University Ebetsu, Japan.
Torahiko OkuboSchool of Veterinary Medicine, Rakuno Gakuen University Ebetsu, Japan.
Chanchai BoonlaDepartments of Biochemistry, Chulalongkorn University Bangkok, Thailand.
Satoru SuzukiCenter for Marine Environmental Studies, Ehime University Matsuyama, Japan.
Kanako SekiLaboratory of Organic Geochemistry, Tokyo University of Agriculture and Technology Fuchu, Japan.
Hideshige TakadaLaboratory of Organic Geochemistry, Tokyo University of Agriculture and Technology Fuchu, Japan.
Yutaka TamuraSchool of Veterinary Medicine, Rakuno Gakuen University Ebetsu, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Antimicrobials are widely used, not only for treating human infections, but also for treatment of livestock and in fish farms. Human habitats in Southeastern Asian countries are located in close proximity to aquatic environments. As such, the human populations within these regions are at risk of exposure to antimicrobial resistant bacteria, and thereby disseminating antimicrobial resistance genes (ARGs). In this study, we collected water samples from 15 sites (5 sites in Chao Phraya River, 2 sites at the mouth of Chao Phraya River, 3 sites in Ta Chin River, and 5 sites at city canals) and 12 sites (6 sites at city canals; 2 sites at chicken farms; 2 sites at pig farms; and 2 samples from sites at pig farms, which were subsequently treated at a biogas plant) in Thailand in 2013 and 2014, respectively. In total, 117 Aeromonas spp. were isolated from the water samples, and these organisms exhibited various antimicrobial susceptibility profiles. Notably, there was a significant correlation between the environmental concentration of tetracyclines and the rates of tetracycline resistance in the isolated Aeromonas spp.; however, both the concentration and rates of tetracycline resistance in samples derived from pig farms were higher than those of samples harvested from other aquatic environments. These findings suggest that the high concentrations of antimicrobials observed in these aquatic environments likely select for ARGs. Furthermore, they indicate that Aeromonas spp. comprise an effective marker for monitoring antimicrobial resistance in aquatic environments.

Indexed as

Aeromonas spp.antimicrobial resistanceaquatic environmentsindicator bacteriatetracycline resistance

Identifiers

PMID27433156
PMCPMC4922218

What OpenQuestion holds

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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.