Evidence map›Paper›PMID 22127020›Full record

ArticleJournal of veterinary science2011

Genotypic characterization of Staphylococcus aureus isolated from bovines, humans, and food in Indonesia.

Siti Isrina Oktavia Salasia, Syarifudin Tato, Ngalijan Sugiyono, Dwi Ariyanti, Feny Prabawati

Abstract read
In one paragraph

Article in Journal of veterinary science, 2011. 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. Article
  4. Methicillin-resistantVeterinary world · 2023
    Article
  5. Review
  6. Cellular immune response ofVeterinary world · 2022
    Article
  7. Genotypic Characterization of Clinical Isolates ofPathogens (Basel, Switzerland) · 2021
    Article
  8. Article
  9. Article
  10. Detection of coagulase gene inVeterinary world · 2019
    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

5 authors.

Siti Isrina Oktavia SalasiaDepartment of Clinical Pathology, Faculty of Veterinary Medicine, Gadjah Mada University, Jl. Fauna 2, Karangmalang, Yogyakarta 55281, Indonesia. isrinasalasia@yahoo.com
Syarifudin Tato
Ngalijan Sugiyono
Dwi Ariyanti
Feny Prabawati

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The present study determined the genetic relationships between 41 Staphyloccocus (S.) aureus isolates from bovines, humans, and food using a single enzyme amplified fragment length polymorphism (AFLP) technique. We evaluated the prevalence of staphylococcal enterotoxin (SE) genes and other virulence gene determinants by PCR. The identification of S. aureus was based on culturing and biochemical tests, and by amplifying a specific section of the 23S rRNA gene. PCR amplification of the SE genes (sea, seb, sec, see, seg, seh, and sei) singly or in combination was observed. Most isolates of bovine origin harbored hla (84%) and cap5 (74%), while most isolates from humans harbored hla (73%), cap8 (91%), and fnbA (100%). Strains from food sources were positive for hla (100%), cap5 (100%), and cap8 (64%) unlike isolates from humans or bovines. A single enzyme AFLP analysis revealed a correlation between AFLP clusters of some strains and the source of the isolates The genotypic results of the present study might help to better understand the distribution of prevalent S. aureus clones among humans, bovines, and food and will help control S. aureus infections in Indonesia.

Indexed as

Food MicrobiologyAmplified Fragment Length Polymorphism AnalysisAnimalsBacterial ProteinsCattleFemaleGene Expression Regulation, BacterialHumansIndonesiaMastitis, BovinePhylogenyStaphylococcal InfectionsStaphylococcus aureusBacterial Proteins

Identifiers

PMID22127020
PMCPMC3232395

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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.