Literature DB >> 25411180

Use of matrix-assisted laser desorption ionization-time of flight mass spectrometry for identification of molds of the Fusarium genus.

David Triest1, Dirk Stubbe2, Koen De Cremer3, Denis Piérard4, Anne-Cécile Normand5, Renaud Piarroux5, Monique Detandt2, Marijke Hendrickx2.   

Abstract

The rates of infection with Fusarium molds are increasing, and a diverse number of Fusarium spp. belonging to different species complexes can cause infection. Conventional species identification in the clinical laboratory is time-consuming and prone to errors. We therefore evaluated whether matrix-assisted laser desorption ionization-time of flight mass spectrometry (MALDI-TOF MS) is a useful alternative. The 289 Fusarium strains from the Belgian Coordinated Collections of Microorganisms (BCCM)/Institute of Hygiene and Epidemiology Mycology (IHEM) culture collection with validated sequence-based identities and comprising 40 species were used in this study. An identification strategy was developed, applying a standardized MALDI-TOF MS assay and an in-house reference spectrum database. In vitro antifungal testing was performed to assess important differences in susceptibility between clinically relevant species/species complexes. We observed that no incorrect species complex identifications were made by MALDI-TOF MS, and 82.8% of the identifications were correct to the species level. This success rate was increased to 91% by lowering the cutoff for identification. Although the identification of the correct species complex member was not always guaranteed, antifungal susceptibility testing showed that discriminating between Fusarium species complexes can be important for treatment but is not necessarily required between members of a species complex. With this perspective, some Fusarium species complexes with closely related members can be considered as a whole, increasing the success rate of correct identifications to 97%. The application of our user-friendly MALDI-TOF MS identification approach resulted in a dramatic improvement in both time and accuracy compared to identification with the conventional method. A proof of principle of our MALDI-TOF MS approach in the clinical setting using recently isolated Fusarium strains demonstrated its validity.
Copyright © 2015, American Society for Microbiology. All Rights Reserved.

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Year:  2014        PMID: 25411180      PMCID: PMC4298546          DOI: 10.1128/JCM.02213-14

Source DB:  PubMed          Journal:  J Clin Microbiol        ISSN: 0095-1137            Impact factor:   5.948


  54 in total

1.  Ongoing revolution in bacteriology: routine identification of bacteria by matrix-assisted laser desorption ionization time-of-flight mass spectrometry.

Authors:  Piseth Seng; Michel Drancourt; Frédérique Gouriet; Bernard La Scola; Pierre-Edouard Fournier; Jean Marc Rolain; Didier Raoult
Journal:  Clin Infect Dis       Date:  2009-08-15       Impact factor: 9.079

2.  Fusarium keratitis in South India: causative agents, their antifungal susceptibilities and a rapid identification method for the Fusarium solani species complex.

Authors:  Mónika Homa; Coimbatore S Shobana; Yendrembam R B Singh; Palanisamy Manikandan; Kanesan P Selvam; László Kredics; Venkatapathy Narendran; Csaba Vágvölgyi; László Galgóczy
Journal:  Mycoses       Date:  2013-02-26       Impact factor: 4.377

Review 3.  Emerging moulds: epidemiological trends and antifungal resistance.

Authors:  Marisa H Miceli; Samuel A Lee
Journal:  Mycoses       Date:  2011-06-14       Impact factor: 4.377

4.  Phylogenetic relationships in the mushroom genus Coprinus and dark-spored allies based on sequence data from the nuclear gene coding for the large ribosomal subunit RNA: divergent domains, outgroups, and monophyly.

Authors:  J S Hopple; R Vilgalys
Journal:  Mol Phylogenet Evol       Date:  1999-10       Impact factor: 4.286

5.  Fusarium keratitis: genotyping, in vitro susceptibility and clinical outcomes.

Authors:  Rafael A Oechsler; Michael R Feilmeier; Darlene Miller; Wei Shi; Ana Luisa Hofling-Lima; Eduardo C Alfonso
Journal:  Cornea       Date:  2013-05       Impact factor: 2.651

6.  Use of mass spectrometry to identify clinical Fusarium isolates.

Authors:  C Marinach-Patrice; A Lethuillier; A Marly; J-Y Brossas; J Gené; F Symoens; A Datry; J Guarro; D Mazier; C Hennequin
Journal:  Clin Microbiol Infect       Date:  2009-05-18       Impact factor: 8.067

7.  Phylogenetic diversity and microsphere array-based genotyping of human pathogenic Fusaria, including isolates from the multistate contact lens-associated U.S. keratitis outbreaks of 2005 and 2006.

Authors:  Kerry O'Donnell; Brice A J Sarver; Mary Brandt; Douglas C Chang; Judith Noble-Wang; Benjamin J Park; Deanna A Sutton; Lynette Benjamin; Mark Lindsley; Arvind Padhye; David M Geiser; Todd J Ward
Journal:  J Clin Microbiol       Date:  2007-05-16       Impact factor: 5.948

Review 8.  Fusarium infections in immunocompromised patients.

Authors:  Marcio Nucci; Elias Anaissie
Journal:  Clin Microbiol Rev       Date:  2007-10       Impact factor: 26.132

9.  Mould routine identification in the clinical laboratory by matrix-assisted laser desorption ionization time-of-flight mass spectrometry.

Authors:  Carole Cassagne; Stéphane Ranque; Anne-Cécile Normand; Patrick Fourquet; Sandrine Thiebault; Chantal Planard; Marijke Hendrickx; Renaud Piarroux
Journal:  PLoS One       Date:  2011-12-14       Impact factor: 3.240

10.  MrBayes 3.2: efficient Bayesian phylogenetic inference and model choice across a large model space.

Authors:  Fredrik Ronquist; Maxim Teslenko; Paul van der Mark; Daniel L Ayres; Aaron Darling; Sebastian Höhna; Bret Larget; Liang Liu; Marc A Suchard; John P Huelsenbeck
Journal:  Syst Biol       Date:  2012-02-22       Impact factor: 15.683

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  23 in total

1.  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

2.  Validation of a New Web Application for Identification of Fungi by Use of Matrix-Assisted Laser Desorption Ionization-Time of Flight Mass Spectrometry.

Authors:  A C Normand; P Becker; F Gabriel; C Cassagne; I Accoceberry; M Gari-Toussaint; L Hasseine; D De Geyter; D Pierard; I Surmont; F Djenad; J L Donnadieu; M Piarroux; S Ranque; M Hendrickx; R Piarroux
Journal:  J Clin Microbiol       Date:  2017-06-21       Impact factor: 5.948

Review 3.  Identification of Molds by Matrix-Assisted Laser Desorption Ionization-Time of Flight Mass Spectrometry.

Authors:  Maurizio Sanguinetti; Brunella Posteraro
Journal:  J Clin Microbiol       Date:  2016-11-02       Impact factor: 5.948

4.  Performance of Matrix-Assisted Laser Desorption Ionization-Time of Flight Mass Spectrometry for Identification of Aspergillus, Scedosporium, and Fusarium spp. in the Australian Clinical Setting.

Authors:  Sue Sleiman; Catriona L Halliday; Belinda Chapman; Mitchell Brown; Joanne Nitschke; Anna F Lau; Sharon C-A Chen
Journal:  J Clin Microbiol       Date:  2016-06-01       Impact factor: 5.948

Review 5.  Update on Matrix-Assisted Laser Desorption Ionization-Time of Flight Mass Spectrometry Identification of Filamentous Fungi.

Authors:  Laura S Wilkendorf; Edmée Bowles; Jochem B Buil; Henrich A L van der Lee; Brunella Posteraro; Maurizio Sanguinetti; Paul E Verweij
Journal:  J Clin Microbiol       Date:  2020-11-18       Impact factor: 5.948

6.  Species Identification and Delineation of Pathogenic Mucorales by Matrix-Assisted Laser Desorption Ionization-Time of Flight Mass Spectrometry.

Authors:  Jin Shao; Zhe Wan; Ruoyu Li; Jin Yu
Journal:  J Clin Microbiol       Date:  2018-03-26       Impact factor: 5.948

Review 7.  Mass spectrometry in research laboratories and clinical diagnostic: a new era in medical mycology.

Authors:  Hasti Kamali Sarvestani; Alireza Ramandi; Muhammad Ibrahim Getso; Taraneh Razavyoon; Javad Javidnia; Miaad Banay Golrizi; Ali-Akbar Saboor-Yaraghi; Saham Ansari
Journal:  Braz J Microbiol       Date:  2022-03-28       Impact factor: 2.214

8.  Recognition of Diagnostic Gaps for Laboratory Diagnosis of Fungal Diseases: Expert Opinion from the Fungal Diagnostics Laboratories Consortium (FDLC).

Authors:  Sean X Zhang; N Esther Babady; Kimberly E Hanson; Amanda T Harrington; Paige M K Larkin; Sixto M Leal; Paul M Luethy; Isabella W Martin; Preeti Pancholi; Gary W Procop; Stefan Riedel; Seyedmojtaba Seyedmousavi; Kaede V Sullivan; Thomas J Walsh; Shawn R Lockhart
Journal:  J Clin Microbiol       Date:  2021-06-18       Impact factor: 5.948

Review 9.  Matrix-Assisted Laser Desorption Ionization Time-of-Flight for Fungal Identification.

Authors:  Anna F Lau
Journal:  Clin Lab Med       Date:  2021-04-24       Impact factor: 2.172

10.  Development of a high-throughput and sensitive assay of fusion genes in lung cancer by array-based MALDI-TOFMS.

Authors:  Han-Tao Wu; Kun Li; Gang Wang; Xue-Xi Yang; Anna Zhu; Xu-Ping Xu; Ming Li; Ying-Song Wu; Tian-Cai Liu
Journal:  RSC Adv       Date:  2018-08-06       Impact factor: 4.036

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