Literature DB >> 20673266

Matrix-assisted laser desorption ionization time-of-flight mass spectrometry for fast and accurate identification of clinically relevant Aspergillus species.

A Alanio1, J-L Beretti, B Dauphin, E Mellado, G Quesne, C Lacroix, A Amara, P Berche, X Nassif, M-E Bougnoux.   

Abstract

New Aspergillus species have recently been described with the use of multilocus sequencing in refractory cases of invasive aspergillosis. The classical phenotypic identification methods routinely used in clinical laboratories failed to identify them adequately. Some of these Aspergillus species have specific patterns of susceptibility to antifungal agents, and misidentification may lead to inappropriate therapy. We developed a matrix-assisted laser desorption ionization time-of-flight (MALDI-TOF) mass spectrometry (MS)-based strategy to adequately identify Aspergillus species to the species level. A database including the reference spectra of 28 clinically relevant species from seven Aspergillus sections (five common and 23 unusual species) was engineered. The profiles of young and mature colonies were analysed for each reference strain, and species-specific spectral fingerprints were identified. The performance of the database was then tested on 124 clinical and 16 environmental isolates previously characterized by partial sequencing of the β-tubulin and calmodulin genes. One hundred and thirty-eight isolates of 140 (98.6%) were correctly identified. Two atypical isolates could not be identified, but no isolate was misidentified (specificity: 100%). The database, including species-specific spectral fingerprints of young and mature colonies of the reference strains, allowed identification regardless of the maturity of the clinical isolate. These results indicate that MALDI-TOF MS is a powerful tool for rapid and accurate identification of both common and unusual species of Aspergillus. It can give better results than morphological identification in clinical laboratories.
© 2010 The Authors. Clinical Microbiology and Infection © 2010 European Society of Clinical Microbiology and Infectious Diseases.

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Year:  2011        PMID: 20673266     DOI: 10.1111/j.1469-0691.2010.03323.x

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


  46 in total

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Journal:  J Clin Microbiol       Date:  2011-11-30       Impact factor: 5.948

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Journal:  J Clin Microbiol       Date:  2012-04-11       Impact factor: 5.948

3.  Comparison of the Microflex LT and Vitek MS systems for routine identification of bacteria by matrix-assisted laser desorption ionization-time of flight mass spectrometry.

Authors:  Delphine Martiny; Laurent Busson; Ingrid Wybo; Rachid Ait El Haj; Anne Dediste; Olivier Vandenberg
Journal:  J Clin Microbiol       Date:  2012-02-08       Impact factor: 5.948

4.  In Vitro Susceptibility of Fusarium to Isavuconazole.

Authors:  A Broutin; J Bigot; Y Senghor; A Moreno-Sabater; J Guitard; C Hennequin
Journal:  Antimicrob Agents Chemother       Date:  2020-01-27       Impact factor: 5.191

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.  In vitro combination of anidulafungin and voriconazole against intrinsically azole-susceptible and -resistant Aspergillus spp.

Authors:  Virginie Planche; Sebastien Ducroz; Alexandre Alanio; Marie-Elisabeth Bougnoux; Olivier Lortholary; Eric Dannaoui
Journal:  Antimicrob Agents Chemother       Date:  2012-05-21       Impact factor: 5.191

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Journal:  J Clin Microbiol       Date:  2014-11-19       Impact factor: 5.948

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Journal:  J Vet Diagn Invest       Date:  2019-04-04       Impact factor: 1.279

9.  Comparison of two matrix-assisted laser desorption ionization-time of flight mass spectrometry systems for the identification of clinical filamentous fungi.

Authors:  Yanfei Huang; Mingxin Zhang; Min Zhu; Mei Wang; Yufeng Sun; Haitong Gu; Jingjing Cao; Xue Li; Shaoya Zhang; Jinglin Wang; Xinxin Lu
Journal:  World J Microbiol Biotechnol       Date:  2017-06-12       Impact factor: 3.312

10.  Candida inconspicua and Candida norvegensis: new insights into identification in relation to sexual reproduction and genome organization.

Authors:  J Guitard; R Atanasova; J Y Brossas; I Meyer; M Gits; C Marinach; S Vellaissamy; A Angoulvant; D Mazier; C Hennequin
Journal:  J Clin Microbiol       Date:  2015-03-11       Impact factor: 5.948

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