Evidence map›Paper›PMID 19937470›Full record

ArticleMycopathologia2010

Trichophyton rubrum and Trichophyton interdigitale: genetic diversity among species and strains by random amplified polymorphic DNA method.

Daniel Assis Santos, Roberta Amália Carvalho Araújo, Júnia Soares Hamdan, Patrícia Silva Cisalpino

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Article in Mycopathologia, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Identification and differentiation of Trichophyton rubrum clinical isolates using PCR-RFLP and RAPD methods.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2011
    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

4 authors.

Daniel Assis SantosDepartamento de Microbiologia, Instituto de Ciências Biológicas, Universidade Federal de Minas Gerais, Av. Antônio Carlos, 6627, PO Box 486, Belo Horizonte, Minas Gerais, Brazil. danielsantosassis@yahoo.com.br
Roberta Amália Carvalho Araújo
Júnia Soares Hamdan
Patrícia Silva Cisalpino

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Onychomycosis is a common condition that represents up to 50% of all nail problems and 30% of all cases of dermatophytoses. Trichophyton rubrum and Trichophyton interdigitale are the most common agents involved in this condition. In cases of recurrent post-treatment onychomycosis, strain fingerprinting could reveal whether the original isolate is responsible, a new strain has been acquired or if multiple strains are involved. The aim of this study was to evaluate the efficacy of the RAPD method for species and strain differentiation of T. rubrum and T. interdigitale obtained from patients with subungeal distal-lateral onychomycosis. A set of 86 strains of onychomycosis causative dermatophytes were submitted to species differentiation and strain typing by RAPD method with two previously described primers. Both primers proved capable of strain differentiation when tested for each species. Nineteen molecular profiles were configured for T. rubrum isolates with primers 1 and 6. For T. mentagrophytes, ten molecular profiles were configured with primer 1 and twenty-one with primer 6. We found that T. interdigitale and T. rubrum species were grouped in different clusters when both primers were analyzed together. This study shows that these primers are valuable tools for strain differentiation with T. rubrum and T. intedigitale.

Indexed as

DNA FingerprintingGenetic VariationMycological Typing TechniquesRandom Amplified Polymorphic DNA TechniqueCluster AnalysisDNA, FungalDNA PrimersGenotypeHumansOnychomycosisTrichophytonDNA, FungalDNA Primers

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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.