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

Author:

Zvezdánova Margarita Estreya12,Escribano Pilar12ORCID,Guinea Jesús123ORCID,Muñoz Patricia1234ORCID,Rodríguez-Temporal David12ORCID,Rodríguez-Sánchez Belén12

Affiliation:

1. Clinical Microbiology and Infectious Diseases Department, Hospital General Universitario Gregorio Marañón, Madrid 28007, Spain

2. Instituto de Investigación Sanitaria Gregorio Marañón –IiSGM-, Madrid 28007, Spain

3. CIBER de Enfermedades Respiratorias (CIBERES CB06/06/0058), Madrid 28007, Spain

4. Medicine Department, School of Medicine, Universidad Complutense de Madrid, Madrid 28040, Spain

Abstract

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.

Funder

Federación Española de Enfermedades Raras

Publisher

Oxford University Press (OUP)

Subject

Infectious Diseases,General Medicine

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3