Evidence map›Paper›PMID 26539185›Full record

ArticleFrontiers in microbiology2015

An assessment on DNA microarray and sequence-based methods for the characterization of methicillin-susceptible Staphylococcus aureus from Nigeria.

Adebayo O Shittu, Omotayo Oyedara, Kenneth Okon, Adeola Raji, Georg Peters, Lutz von Müller, Frieder Schaumburg, Mathias Herrmann, Ulla Ruffing

Open access · goldAbstract read
In one paragraph

Article in Frontiers in microbiology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
1.2field-weighted citation impact, top 22% 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

11 citing papers in PubMed, 1 synthesis or guideline pooled it, 19 citations in OpenAlex.

  1. Global prevalence of macrolide-resistantFrontiers in microbiology · 2025
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  2. Clonal Complexes Distribution ofAntibiotics (Basel, Switzerland) · 2023
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  5. Virulence factors and clonal diversity of Staphylococcus aureus in colonization and wound infection with emphasis on diabetic foot infection.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2020
    Review
  6. Article
  7. Article
  8. Article
  9. Distribution of the Most PrevalentFrontiers in microbiology · 2018
    Review
  10. Molecular epidemiology of Staphylococcus aureus from Lambaréné, Gabon.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2016
    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

9 authors at 7 institutions in 3 countries.

Adebayo O ShittuDepartment of Microbiology, Obafemi Awolowo University Ile-Ife, Nigeria ; Institute of Medical Microbiology and Hygiene, Saarland University Homburg, Germany.
Omotayo OyedaraDepartment of Biological Sciences, College of Science, Engineering and Technology, Osun State University Osogbo, Nigeria.
Kenneth OkonDepartment of Medical Laboratory Services, Federal Medical Centre Makurdi, Nigeria.
Adeola RajiDepartment of Microbiology and Immunology, Alfaisal University Riyadh, Saudi Arabia.
Georg PetersInstitute of Medical Microbiology, University Hospital Münster Münster, Germany.
Lutz von MüllerInstitute of Medical Microbiology and Hygiene, Saarland University Homburg, Germany.
Frieder SchaumburgInstitute of Medical Microbiology, University Hospital Münster Münster, Germany.
Mathias HerrmannInstitute of Medical Microbiology and Hygiene, Saarland University Homburg, Germany.
Ulla RuffingInstitute of Medical Microbiology and Hygiene, Saarland University Homburg, Germany.
Saarland University · DEUniversity Hospital Münster · DEAlfaisal University · SAFederal Medical Centre · NGInstitute of Medical Microbiology and Hygiene · DEObafemi Awolowo University · NGOsun State University · NG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Staphylococcus aureus is an important human pathogen causing nosocomial and community-acquired infections worldwide. In the characterization of this opportunistic pathogen, DNA microarray hybridization technique is used as an alternative to sequence based genotyping to obtain a comprehensive assessment on the virulence, resistance determinants, and population structure. The objective of this study was to characterize a defined collection of S. aureus isolates from Nigeria using the microarray technique, and to assess the extent that it correlates with sequence-based genotyping methods. The clonal diversity and genomic content of 52 methicillin-susceptible Staphylococcus aureus (MSSA) were investigated by spa typing, MLST and DNA microarray hybridization. More than half (55.8%) of these isolates were associated with clonal complexes (CCs) typically associated with methicillin-resistant S. aureus (MRSA) clones i.e., CC1, CC5, CC8, CC30, and CC45. Certain genes linked with virulence (hlgA and clfA) and adherence (ebpS, fnbA, sspA, sspB, and sspP) were detected in all isolates. A number of genes or gene clusters were associated with distinct clonal types. The enterotoxin gene cluster (egc) was linked with CC5, CC25, CC30, CC45, and CC121, enterotoxin H gene (seh) with CC1, exfoliative toxin D gene (etd) with CC25 and CC80, and the epidermal cell differentiation inhibitor B gene (edinB) with CC25, CC80, and CC152. The excellent agreement between data from DNA microarray and MLST in the delineation of Nigerian MSSA isolates indicates that the microarray technique is a useful tool to provide information on antibiotic resistance, clonal diversity and virulence factors associated with infection and disease.

Indexed as

genotypingmicroarrayMLSTNigeriaStaphylococcus aureus

Identifiers

PMID26539185
PMCPMC4612102
OpenAlexW2159282336

What OpenQuestion holds

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LicenceCC BY
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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.