Evaluation of the Vitek Ms system for the identification of filamentous fungi

被引:7
|
作者
Zvezdanova, Margarita Estreya [1 ,2 ]
Escribano, Pilar [1 ,2 ]
Guinea, Jesus [1 ,2 ,3 ]
Munoz, Patricia [1 ,2 ,3 ,4 ]
Rodriguez-Temporal, David [1 ,2 ]
Rodriguez-Sanchez, Belen [1 ,2 ]
机构
[1] Hosp Gen Univ Gregorio Maranon, Clin Microbiol & Infect Dis Dept, Madrid 28007, Spain
[2] Inst Invest Sanitaria Gregorio Maranon IiSGM, Madrid 28007, Spain
[3] CIBER Enfermedades Resp CIBERES CB06 06, Madrid 28007, Spain
[4] Univ Complutense Madrid, Sch Med, Med Dept, Madrid 28040, Spain
关键词
DESORPTION IONIZATION-TIME; FLIGHT MASS-SPECTROMETRY; SCEDOSPORIUM; PERFORMANCE;
D O I
10.1093/mmy/myac027
中图分类号
R51 [传染病];
学科分类号
100401 ;
摘要
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 (bioMerieux, Marcy l'Etoile, France) and the VITEK MS system (bioMerieux) 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.
引用
收藏
页数:7
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