Literature DB >> 29142047

Multicenter Evaluation of the Vitek MS v3.0 System for the Identification of Filamentous Fungi.

Jenna Rychert1, E Sue Slechta2, Adam P Barker3, Edwin Miranda4, N Esther Babady4, Yi-Wei Tang4,5, Connie Gibas6, Nathan Wiederhold6, DeAnna Sutton6, Kimberly E Hanson3.   

Abstract

Invasive fungal infections are an important cause of morbidity and mortality affecting primarily immunocompromised patients. While fungal identification to the species level is critical to providing appropriate therapy, it can be slow and laborious and often relies on subjective morphological criteria. The use of matrix-assisted laser desorption ionization-time of flight (MALDI-TOF) mass spectrometry has the potential to speed up and improve the accuracy of identification. In this multicenter study, we evaluated the accuracy of the Vitek MS v3.0 system in identifying 1,601 clinical mold isolates compared to identification by DNA sequence analysis and supported by morphological and phenotypic testing. Among the 1,519 isolates representing organisms in the v3.0 database, 91% (n = 1,387) were correctly identified to the species level. An additional 27 isolates (2%) were correctly identified to the genus level. Fifteen isolates were incorrectly identified, due to either a single incorrect identification (n = 13) or multiple identifications from different genera (n = 2). In those cases, when a single identification was provided that was not correct, the misidentification was within the same genus. The Vitek MS v3.0 was unable to identify 91 (6%) isolates, despite repeat testing. These isolates were distributed among all the genera. When considering all isolates tested, even those that were not represented in the database, the Vitek MS v3.0 provided a single correct identification 98% of the time. These findings demonstrate that the Vitek MS v3.0 system is highly accurate for the identification of common molds encountered in the clinical mycology laboratory.
Copyright © 2018 American Society for Microbiology.

Entities:  

Keywords:  MALDI-TOF; Vitek MS; filamentous fungi; fungi; mass spectrometry; mold

Mesh:

Year:  2018        PMID: 29142047      PMCID: PMC5786734          DOI: 10.1128/JCM.01353-17

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


  29 in total

1.  Fungal pigments inhibit the matrix-assisted laser desorption/ionization time-of-flight mass spectrometry analysis of darkly pigmented fungi.

Authors:  Amanda D Buskirk; Justin M Hettick; Itai Chipinda; Brandon F Law; Paul D Siegel; James E Slaven; Brett J Green; Donald H Beezhold
Journal:  Anal Biochem       Date:  2010-11-19       Impact factor: 3.365

2.  Multi-center evaluation of the VITEK® MS system for mass spectrometric identification of non-Enterobacteriaceae Gram-negative bacilli.

Authors:  R Manji; M Bythrow; J A Branda; C-A D Burnham; M J Ferraro; O B Garner; R Jennemann; M A Lewinski; A B Mochon; G W Procop; S S Richter; J A Rychert; L Sercia; L F Westblade; C C Ginocchio
Journal:  Eur J Clin Microbiol Infect Dis       Date:  2013-09-10       Impact factor: 3.267

3.  Differentiation of clinically relevant Mucorales Rhizopus microsporus and R. arrhizus by matrix-assisted laser desorption ionization time-of-flight mass spectrometry (MALDI-TOF MS).

Authors:  Somayeh Dolatabadi; Anna Kolecka; Matthijs Versteeg; Sybren G de Hoog; Teun Boekhout
Journal:  J Med Microbiol       Date:  2015-05-22       Impact factor: 2.472

Review 4.  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

5.  Multicenter evaluation of the Vitek MS matrix-assisted laser desorption ionization-time of flight mass spectrometry system for identification of Gram-positive aerobic bacteria.

Authors:  Jenna Rychert; Carey-Ann D Burnham; Maureen Bythrow; Omai B Garner; Christine C Ginocchio; Rebecca Jennemann; Michael A Lewinski; Ryhana Manji; A Brian Mochon; Gary W Procop; Sandra S Richter; Linda Sercia; Lars F Westblade; Mary Jane Ferraro; John A Branda
Journal:  J Clin Microbiol       Date:  2013-05-08       Impact factor: 5.948

Review 6.  Performance of MALDI-TOF MS platforms for fungal identification.

Authors:  Carole Cassagne; Anne-Cécile Normand; Coralie L'Ollivier; Stéphane Ranque; Renaud Piarroux
Journal:  Mycoses       Date:  2016-11       Impact factor: 4.377

7.  MALDI-TOF MS-based identification of black yeasts of the genus Exophiala.

Authors:  Betil Özhak-Baysan; Dilara Öğünç; Aylin Döğen; Macit Ilkit; G Sybren de Hoog
Journal:  Med Mycol       Date:  2015-05       Impact factor: 4.076

8.  Analyses of black fungi by matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS): species-level identification of clinical isolates of Exophiala dermatitidis.

Authors:  Nahid Kondori; Marcel Erhard; Christina Welinder-Olsson; Marizeth Groenewald; Gerard Verkley; Edward R B Moore
Journal:  FEMS Microbiol Lett       Date:  2014-12-04       Impact factor: 2.742

9.  Identification of Enterobacteriaceae by matrix-assisted laser desorption/ionization time-of-flight mass spectrometry using the VITEK MS system.

Authors:  S S Richter; L Sercia; J A Branda; C-A D Burnham; M Bythrow; M J Ferraro; O B Garner; C C Ginocchio; R Jennemann; M A Lewinski; R Manji; A B Mochon; J A Rychert; L F Westblade; G W Procop
Journal:  Eur J Clin Microbiol Infect Dis       Date:  2013-07-02       Impact factor: 3.267

10.  Multi-centre evaluation of mass spectrometric identification of anaerobic bacteria using the VITEK® MS system.

Authors:  O Garner; A Mochon; J Branda; C-A Burnham; M Bythrow; M Ferraro; C Ginocchio; R Jennemann; R Manji; G W Procop; S Richter; J Rychert; L Sercia; L Westblade; M Lewinski
Journal:  Clin Microbiol Infect       Date:  2013-08-09       Impact factor: 8.067

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  19 in total

Review 1.  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

Review 2.  The Brief Case: Histoplasma duboisii-an Infection with a Rare Organism Presenting as an Abdominal Mass.

Authors:  Apeksha N Agarwal; Blake Chandler; Steven D Dallas; Nathan P Wiederhold; Connie Cañete-Gibas; Daniel D Mais
Journal:  J Clin Microbiol       Date:  2022-07-20       Impact factor: 11.677

3.  Vitek® MS v3.0 System in the Identification of Filamentous Fungi.

Authors:  Dolores Pinheiro; Carolina Monteiro; Miguel A Faria; Eugénia Pinto
Journal:  Mycopathologia       Date:  2019-09-10       Impact factor: 2.574

4.  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 5.  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

Review 6.  Molecular diagnostics in medical mycology.

Authors:  Brian L Wickes; Nathan P Wiederhold
Journal:  Nat Commun       Date:  2018-12-03       Impact factor: 14.919

7.  In Vitro Activity of Isavuconazole against Opportunistic Fungal Pathogens from Two Mycology Reference Laboratories.

Authors:  Michael A Pfaller; Paul R Rhomberg; Nathan P Wiederhold; Connie Gibas; Carmita Sanders; Hongxin Fan; James Mele; Laura L Kovanda; Mariana Castanheira
Journal:  Antimicrob Agents Chemother       Date:  2018-09-24       Impact factor: 5.191

Review 8.  Diagnosis of Pulmonary Infections Due to Endemic Fungi.

Authors:  Victoria Poplin; Clarissa Smith; Dominique Milsap; Lauren Zabel; Nathan C Bahr
Journal:  Diagnostics (Basel)       Date:  2021-05-10

9.  Developing Two Rapid Protein Extraction Methods Using Focused-Ultrasonication and Zirconia-Silica Beads for Filamentous Fungi Identification by MALDI-TOF MS.

Authors:  Ya-Ting Ning; Wen-Hang Yang; Wei Zhang; Meng Xiao; Yao Wang; Jing-Jia Zhang; Ge Zhang; Si-Meng Duan; Ai-Ying Dong; Da-Wen Guo; Gui-Ling Zou; Hai-Nan Wen; Yan-Yan Guo; Li-Ping Chen; Miao Chai; Jing-Dong He; Qiong Duan; Li-Xia Zhang; Li Zhang; Ying-Chun Xu
Journal:  Front Cell Infect Microbiol       Date:  2021-07-06       Impact factor: 5.293

10.  Ultra-High-Resolution Mass Spectrometry for Identification of Closely Related Dermatophytes with Different Clinical Predilections.

Authors:  Karolina Dukik; Joanna Freeke; Azadeh Jamalian; Bert Gerrits van den Ende; Ping Yip; James L Stephenson; G Sybren de Hoog; J Benjamin Stielow
Journal:  J Clin Microbiol       Date:  2018-06-25       Impact factor: 5.948

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