Evidence map›Paper›PMID 17728472›Full record

ArticleJournal of clinical microbiology2007

Use of a DNA microarray for simultaneous detection of antibiotic resistance genes among staphylococcal clinical isolates.

Ling-Xiang Zhu, Zhi-Wei Zhang, Can Wang, Hua-Wei Yang, Di Jiang, Qiong Zhang, Keith Mitchelson, Jing Cheng

Open access · greenAbstract read
In one paragraph

Article in Journal of clinical microbiology, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed
2.7field-weighted citation impact, top 10% of its field
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

26 citing papers in PubMed, 66 citations in OpenAlex.

  1. Trial
  2. Article
  3. Review
  4. Review
  5. Rapid Methods for Antimicrobial Resistance Diagnostics.Antibiotics (Basel, Switzerland) · 2021
    Review
  6. Virulence Characteristics ofMicroorganisms · 2020
    Article
  7. Article
  8. Review
  9. Article
  10. Observational
  11. Microarray identification of bacterial species in peritonsillar abscesses.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2015
    Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Enterotoxigenic potential of coagulase-negative staphylococci.International journal of food microbiology · 2013
    Review
  17. Article
  18. DNA microarrays for the diagnosis of infectious diseases.Medecine et maladies infectieuses · 2012
    Review
  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

8 authors at 1 institution in 1 country.

Ling-Xiang ZhuMedical Systems Biology Research Center, Tsinghua University School of Medicine, Beijing, China.
Zhi-Wei Zhang
Can Wang
Hua-Wei Yang
Di Jiang
Qiong Zhang
Keith Mitchelson
Jing Cheng
Tsinghua University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We developed a multiplex asymmetric PCR (MAPCR)-based DNA microarray assay for characterization of the clinically relevant antibiotic resistance genes leading to penicillin, methicillin, aminoglycoside, macrolide, lincosamide, and streptogramin B (MLS(B)) resistance in staphylococci. The DNA-based assay involves detection of specific conserved regions of the mecA, blaZ (methicillin and penicillin resistance), aac(6')-Ie-aph(2'') (aminoglycoside resistance), ermA and ermC genes (MLS(B) resistance), and the msrA gene (macrolide and streptogramin B resistance). The microarray uses a variable sequence region of the 16S rRNA gene to broadly differentiate between Staphylococcus aureus and other coagulase-negative staphylococci (CoNS). The performance of the microarray was validated with a total of 178 clinically important S. aureus and 237 CoNS isolates, with correlations of 100% for S. aureus to CoNS discrimination and more than 90% for antibiotic resistance between the genotypic analysis determined by the microarray and the phenotype determined by standard methods of species identification and susceptibility testing. The major discrepant results were 17 mecA-positive CoNS and 60 aac(6')-Ie-aph(2'')-positive CoNS isolates measured by microarray that were susceptible to the corresponding antibiotics based on disk diffusion assay. Overall, this microarray-based assay offers a simultaneous, fast (< or =5 h), and accurate identification of antibiotic resistance genes from a single colony, as well as species classification. Our extensive validation of the microarray suggests that it may be a useful tool to complement phenotypic susceptibility testing in clinical laboratories and to survey the spread of antibiotic resistance determinants in epidemiological studies.

Indexed as

Genes, BacterialBacterial ProteinsDrug Resistance, BacterialHumansMethyltransferasesOligonucleotide Array Sequence AnalysisPhenotypePolymerase Chain ReactionSensitivity and SpecificityStaphylococcusBacterial ProteinsErmA protein, BacteriaMecA protein, Staphylococcus epidermidisMethyltransferases

Identifiers

PMID17728472
PMCPMC2168535
OpenAlexW2150099463

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.