Literature DB >> 21883662

Species identification of Aspergillus, Fusarium and Mucorales with direct surface analysis by matrix-assisted laser desorption ionization time-of-flight mass spectrometry.

E De Carolis1, B Posteraro, C Lass-Flörl, A Vella, A R Florio, R Torelli, C Girmenia, C Colozza, A M Tortorano, M Sanguinetti, G Fadda.   

Abstract

Accurate species discrimination of filamentous fungi is essential, because some species have specific antifungal susceptibility patterns, and misidentification may result in inappropriate therapy. We evaluated matrix-assisted laser desorption ionization time-of-flight mass spectrometry (MALDI-TOF MS) for species identification through direct surface analysis of the fungal culture. By use of culture collection strains representing 55 species of Aspergillus, Fusarium and Mucorales, a reference database was established for MALDI-TOF MS-based species identification according to the manufacturer's recommendations for microflex measurements and MALDI BioTyper 2.0 software. The profiles of young and mature colonies were analysed for each of the reference strains, and species-specific spectral fingerprints were obtained. To evaluate the database, 103 blind-coded fungal isolates collected in the routine clinical microbiology laboratory were tested. As a reference method for species designation, multilocus sequencing was used. Eighty-five isolates were unequivocally identified to the species level (≥99% sequence similarity); 18 isolates producing ambiguous results at this threshold were initially rated as identified to the genus level only. Further molecular analysis definitively assigned these isolates to the species Aspergillus oryzae (17 isolates) and Aspergillus flavus (one isolate), concordant with the MALDI-TOF MS results. Excluding nine isolates that belong to the fungal species not included in our reference database, 91 (96.8%) of 94 isolates were identified by MALDI-TOF MS to the species level, in agreement with the results of the reference method; three isolates were identified to the genus level. In conclusion, MALDI-TOF MS is suitable for the routine identification of filamentous fungi in a medical microbiology laboratory.
© 2011 The Authors. Clinical Microbiology and Infection © 2011 European Society of Clinical Microbiology and Infectious Diseases.

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Year:  2011        PMID: 21883662     DOI: 10.1111/j.1469-0691.2011.03599.x

Source DB:  PubMed          Journal:  Clin Microbiol Infect        ISSN: 1198-743X            Impact factor:   8.067


  65 in total

1.  Use of matrix-assisted laser desorption ionization-time of flight mass spectrometry for caspofungin susceptibility testing of Candida and Aspergillus species.

Authors:  Elena De Carolis; Antonietta Vella; Ada R Florio; Patrizia Posteraro; David S Perlin; Maurizio Sanguinetti; Brunella Posteraro
Journal:  J Clin Microbiol       Date:  2012-04-25       Impact factor: 5.948

2.  Routine identification of medical fungi by the new Vitek MS matrix-assisted laser desorption ionization-time of flight system with a new time-effective strategy.

Authors:  Xavier Iriart; Rose-Anne Lavergne; Judith Fillaux; Alexis Valentin; Jean-François Magnaval; Antoine Berry; Sophie Cassaing
Journal:  J Clin Microbiol       Date:  2012-04-11       Impact factor: 5.948

3.  Detection of OmpK36 porin loss in Klebsiella spp. by matrix-assisted laser desorption ionization-time of flight mass spectrometry.

Authors:  Jia Chang Cai; Yan Yan Hu; Rong Zhang; Hong Wei Zhou; Gong-Xiang Chen
Journal:  J Clin Microbiol       Date:  2012-04-04       Impact factor: 5.948

4.  Antifungal Susceptibility Testing of Aspergillus spp. by Using a Composite Correlation Index (CCI)-Based Matrix-Assisted Laser Desorption Ionization-Time of Flight Mass Spectrometry Method Appears To Not Offer Benefit over Traditional Broth Microdilution Testing.

Authors:  Melissa R Gitman; Lisa McTaggart; Joanna Spinato; Rahgavi Poopalarajah; Erin Lister; Shahid Husain; Julianne V Kus
Journal:  J Clin Microbiol       Date:  2017-04-12       Impact factor: 5.948

5.  Successful identification of clinical dermatophyte and Neoscytalidium species by matrix-assisted laser desorption ionization-time of flight mass spectrometry.

Authors:  Kinda Alshawa; Jean-Luc Beretti; Claire Lacroix; Martine Feuilhade; Brunhilde Dauphin; Gilles Quesne; Noura Hassouni; Xavier Nassif; Marie-Elisabeth Bougnoux
Journal:  J Clin Microbiol       Date:  2012-04-25       Impact factor: 5.948

6.  Misidentification of Aspergillus nomius and Aspergillus tamarii as Aspergillus flavus: characterization by internal transcribed spacer, β-Tubulin, and calmodulin gene sequencing, metabolic fingerprinting, and matrix-assisted laser desorption ionization-time of flight mass spectrometry.

Authors:  Emily W T Tam; Jonathan H K Chen; Eunice C L Lau; Antonio H Y Ngan; Kitty S C Fung; Kim-Chung Lee; Ching-Wan Lam; Kwok-Yung Yuen; Susanna K P Lau; Patrick C Y Woo
Journal:  J Clin Microbiol       Date:  2014-01-22       Impact factor: 5.948

7.  Evaluation of the Bruker Matrix-Assisted Laser Desorption-Ionization Time-of-Flight Mass Spectrometry (MALDI-TOF MS) System for the Identification of Clinically Important Dermatophyte Species.

Authors:  Nilgün Karabıçak; Onur Karatuna; Macit İlkit; Işın Akyar
Journal:  Mycopathologia       Date:  2015-05-14       Impact factor: 2.574

8.  Phylogeny, identification and nomenclature of the genus Aspergillus.

Authors:  R A Samson; C M Visagie; J Houbraken; S-B Hong; V Hubka; C H W Klaassen; G Perrone; K A Seifert; A Susca; J B Tanney; J Varga; S Kocsubé; G Szigeti; T Yaguchi; J C Frisvad
Journal:  Stud Mycol       Date:  2014-06       Impact factor: 16.097

9.  Development and validation of an in-house database for matrix-assisted laser desorption ionization-time of flight mass spectrometry-based yeast identification using a fast protein extraction procedure.

Authors:  Elena De Carolis; Antonietta Vella; Luisa Vaccaro; Riccardo Torelli; Patrizia Posteraro; Walter Ricciardi; Maurizio Sanguinetti; Brunella Posteraro
Journal:  J Clin Microbiol       Date:  2014-02-19       Impact factor: 5.948

Review 10.  Molecular Tools for the Detection and Deduction of Azole Antifungal Drug Resistance Phenotypes in Aspergillus Species.

Authors:  Anna Dudakova; Birgit Spiess; Marut Tangwattanachuleeporn; Christoph Sasse; Dieter Buchheidt; Michael Weig; Uwe Groß; Oliver Bader
Journal:  Clin Microbiol Rev       Date:  2017-10       Impact factor: 26.132

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