Evidence map›Paper›PMID 25216335›Full record

ArticleInternational journal of molecular sciences2014

Identification of Dermatophyte species after implementation of the in-house MALDI-TOF MS database.

Adriana Calderaro, Federica Motta, Sara Montecchini, Chiara Gorrini, Giovanna Piccolo, Maddalena Piergianni, Mirko Buttrini, Maria Cristina Medici, Maria Cristina Arcangeletti, Carlo Chezzi and 1 more

Abstract read
In one paragraph

Article in International journal of molecular sciences, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

19 citing papers in PubMed.

  1. Article
  2. Review
  3. Mass spectrometry in research laboratories and clinical diagnostic: a new era in medical mycology.Brazilian journal of microbiology : [publication of the Brazilian Society for Microbiology] · 2022
    Review
  4. Detection of emerging genotypes inFrontiers in microbiology · 2022
    Article
  5. Rapid Identification ofMicroorganisms · 2021
    Article
  6. Review
  7. Recent trends in rapid diagnostic techniques for dermatophytosis.International journal of veterinary science and medicine · 2020
    Review
  8. Epidemiology and Diagnostic Perspectives of Dermatophytoses.Journal of fungi (Basel, Switzerland) · 2020
    Review
  9. Review
  10. Article
  11. Article
  12. Review
  13. Article
  14. Review
  15. Review
  16. Article
  17. Article
  18. Article
  19. 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

11 authors.

Adriana CalderaroUnit of Microbiology and Virology, Department of Clinical and Experimental Medicine, University of Parma, Viale A. Gramsci 14, Parma 43126, Italy. adriana.calderaro@unipr.it.
Federica MottaUnit of Microbiology and Virology, Department of Clinical and Experimental Medicine, University of Parma, Viale A. Gramsci 14, Parma 43126, Italy. fmotta@ao.pr.it.
Sara MontecchiniUnit of Microbiology and Virology, Department of Clinical and Experimental Medicine, University of Parma, Viale A. Gramsci 14, Parma 43126, Italy. sara.montecchini@unipr.it.
Chiara GorriniUnit of Microbiology and Virology, Department of Clinical and Experimental Medicine, University of Parma, Viale A. Gramsci 14, Parma 43126, Italy. cgorrini@ao.pr.it.
Giovanna PiccoloUnit of Microbiology and Virology, Department of Clinical and Experimental Medicine, University of Parma, Viale A. Gramsci 14, Parma 43126, Italy. giovanna.piccolo@unipr.it.
Maddalena PiergianniUnit of Microbiology and Virology, Department of Clinical and Experimental Medicine, University of Parma, Viale A. Gramsci 14, Parma 43126, Italy. maddalena.piergianni@nemo.unipr.it.
Mirko ButtriniUnit of Microbiology and Virology, Department of Clinical and Experimental Medicine, University of Parma, Viale A. Gramsci 14, Parma 43126, Italy. mirko.buttrini@unipr.it.
Maria Cristina MediciUnit of Microbiology and Virology, Department of Clinical and Experimental Medicine, University of Parma, Viale A. Gramsci 14, Parma 43126, Italy. mariacristina.medici@unipr.it.
Maria Cristina ArcangelettiUnit of Microbiology and Virology, Department of Clinical and Experimental Medicine, University of Parma, Viale A. Gramsci 14, Parma 43126, Italy. mariacristina.arcangeletti@unipr.it.
Carlo ChezziUnit of Microbiology and Virology, Department of Clinical and Experimental Medicine, University of Parma, Viale A. Gramsci 14, Parma 43126, Italy. carlo.chezzi@unipr.it.
Flora De ContoUnit of Microbiology and Virology, Department of Clinical and Experimental Medicine, University of Parma, Viale A. Gramsci 14, Parma 43126, Italy. flora.deconto@unipr.it.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Despite that matrix-assisted laser desorption/ionization time-of-flight (MALDI-TOF) mass spectrometry (MS) has become a powerful tool in the clinical microbiology setting, few studies have till now focused on MALDI-TOF MS-based identification of dermatophytes. In this study, we analyze dermatophytes strains isolated from clinical samples by MALDI-TOF MS to supplement the reference database available in our laboratory. Twenty four dermatophytes (13 reference strains and 11 field isolated strains), identified by both conventional and molecular standard procedures, were analyzed by MALDI-TOF MS, and the spectra obtained were used to supplement the available database, limited to a few species. To verify the robustness of the implemented database, 64 clinical isolates other than those used for the implementation were identified by MALDI-TOF MS. The implementation allowed the identification of the species not included in the original database, reinforced the identification of the species already present and correctly identified those within the Trichophyton mentagrophytes complex previously classified as Trichophyton. tonsurans by MALDI-TOF MS. The dendrogram obtained by analyzing the proteic profiles of the different species of dermatophytes reflected their taxonomy, showing moreover, in some cases, a different clusterization between the spectra already present in the database and those newly added. In this study, MALDI-TOF MS proved to be a useful tool suitable for the identification of dermatophytes for diagnostic purpose.

Indexed as

Spectrometry, Mass, Matrix-Assisted Laser Desorption-IonizationArthrodermataceaeDatabases, FactualSequence Analysis, DNATrichophyton

Identifiers

PMID25216335
PMCPMC4200822

What OpenQuestion holds

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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.