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Evaluation of the Vitek Ms system for the identification of filamentous fungi.
Zvezdánova, Margarita Estreya; Escribano, Pilar; Guinea, Jesús; Muñoz, Patricia; Rodríguez-Temporal, David; Rodríguez-Sánchez, Belén.
Afiliação
  • Zvezdánova ME; Clinical Microbiology and Infectious Diseases Department, Hospital General Universitario Gregorio Marañón, Madrid 28007, Spain.
  • Escribano P; Instituto de Investigación Sanitaria Gregorio Marañón -IiSGM-, Madrid 28007, Spain.
  • Guinea J; Clinical Microbiology and Infectious Diseases Department, Hospital General Universitario Gregorio Marañón, Madrid 28007, Spain.
  • Muñoz P; Instituto de Investigación Sanitaria Gregorio Marañón -IiSGM-, Madrid 28007, Spain.
  • Rodríguez-Temporal D; Clinical Microbiology and Infectious Diseases Department, Hospital General Universitario Gregorio Marañón, Madrid 28007, Spain.
  • Rodríguez-Sánchez B; Instituto de Investigación Sanitaria Gregorio Marañón -IiSGM-, Madrid 28007, Spain.
Med Mycol ; 60(4)2022 Apr 27.
Article em En | MEDLINE | ID: mdl-35357500
ABSTRACT
The implementation of matrix-assisted laser desorption/ionization-time of flight mass spectrometry (MALDI-TOF MS) for the identification of fungal isolates remains challenging and has been limited to experienced laboratories in sample preparation and in-house libraries construction. However, the development of commercial kits for standardized fungal sample preparation and updated reference libraries can fill this gap. This study aimed to evaluate the performance of the commercial VITEK MS Mould Kit (bioMérieux, Marcy l'Etoile, France) and the VITEK MS system (bioMérieux) for identification using a panel of fungal species of clinical interest. Overall, 200 isolates belonging to 13 genera and 43 fungal species were analyzed with the VITEK MS system equipped with the v3.2 IVD database. Overall, 89.0% of the isolates were correctly identified, 41.5 and 43.5% at species and complex level, respectively. For an additional 4.0% of the identifications, correlation at the genus level was reported. The remaining 21 isolates (10.5%) could not be identified among which 85.0% (18/21) were species not claimed in the database. One Syncephalastrum isolate was misidentified as Rhizopus microsporus complex. Specifically, 100% of the Scedosporium/Lomentospora, 97.1% of the Fusarium, 65.7% of the Mucorales and 86.4% of the Aspergillus isolates were correctly identified at the species and complex level. The methodology described allows for an easy implementation of MALDI-TOF MS for routine identification of fungal species in a fast and reliable manner. Although further improvement in the databases is still required, an important number of fungal species can be correctly identified at the species level using this method. LAY

SUMMARY:

The use of MALDI-TOF for fungal identification remains a challenge. In this study, using a commercial protein extraction kit and updated database, VITEK MS system was able to identify up to 89.0% of a diverse collection of 200 filamentous fungi representing 43 fungal species.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Fusarium / Mucorales Tipo de estudo: Diagnostic_studies Limite: Animals Idioma: En Revista: Med Mycol Assunto da revista: MEDICINA VETERINARIA / MICROBIOLOGIA Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Espanha

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Fusarium / Mucorales Tipo de estudo: Diagnostic_studies Limite: Animals Idioma: En Revista: Med Mycol Assunto da revista: MEDICINA VETERINARIA / MICROBIOLOGIA Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Espanha