Laboratory of Applied Microbiology, University of Applied Sciences and Arts of Southern Switzerland, Bellinzona, Switzerland
bioMérieux SA, Unit Microbiology, R&D Microbiology, La Balme Les Grottes, France.
J Clin Microbiol. 2014 Dec;52(12):4286-92. doi: 10.1128/JCM.02199-14. Epub 2014 Oct 8.
The objective of this research was to extend the Vitek MS fungal knowledge base version 2.0.0 to allow the robust identification of clinically relevant dermatophytes, using a variety of strains, incubation times, and growth conditions. First, we established a quick and reliable method for sample preparation to obtain a reliable and reproducible identification independently of the growth conditions. The Vitek MS V2.0.0 fungal knowledge base was then expanded using 134 well-characterized strains belonging to 17 species in the genera Epidermophyton, Microsporum, and Trichophyton. Cluster analysis based on mass spectrum similarity indicated good species discrimination independently of the culture conditions. We achieved a good separation of the subpopulations of the Trichophyton anamorph of Arthroderma benhamiae and of anthropophilic and zoophilic strains of Trichophyton interdigitale. Overall, the 1,130 mass spectra obtained for dermatophytes gave an estimated identification performance of 98.4%. The expanded fungal knowledge base was then validated using 131 clinical isolates of dermatophytes belonging to 13 taxa. For 8 taxa all strains were correctly identified, and for 3 the rate of successful identification was >90%; 75% (6/8) of the M. gypseum strains were correctly identified, whereas only 47% (18/38) of the African T. rubrum population (also called T. soudanense) were recognized accurately, with a large quantity of strains misidentified as T. violaceum, demonstrating the close relationship of these two taxa. The method of sample preparation was fast and efficient and the expanded Vitek MS fungal knowledge base reliable and robust, allowing reproducible dermatophyte identifications in the routine laboratory.
本研究旨在扩展 Vitek MS 真菌知识库版本 2.0.0,以便使用各种菌株、孵育时间和生长条件,对临床上相关的皮肤癣菌进行稳健鉴定。首先,我们建立了一种快速可靠的样本制备方法,以获得一种独立于生长条件的可靠且可重复的鉴定。然后,我们使用 134 株经过充分鉴定的菌株,这些菌株属于表皮癣菌属、小孢子菌属和毛癣菌属中的 17 个种,扩展了 Vitek MS V2.0.0 真菌知识库。基于质谱相似性的聚类分析表明,无论培养条件如何,都能很好地区分物种。我们成功地区分了 Arthroderma benhamiae 的 Trichophyton 无性型的亚种群以及亲人性和亲动物性 Trichophyton interdigitale 菌株。总体而言,用于皮肤癣菌的 1,130 个质谱获得了估计的 98.4%的鉴定性能。然后使用 131 株属于 13 个分类单元的临床皮肤癣菌分离株验证扩展的真菌知识库。对于 8 个分类单元,所有菌株均得到正确鉴定,对于 3 个分类单元,成功鉴定率>90%;75%(6/8)的 M. gypseum 菌株得到正确鉴定,而只有 47%(18/38)的非洲 T. rubrum 种群(也称为 T. soudanense)被准确识别,大量菌株被错误地鉴定为 T. violaceum,表明这两个分类单元密切相关。样本制备方法快速高效,扩展的 Vitek MS 真菌知识库可靠且稳健,可在常规实验室中实现可重复的皮肤癣菌鉴定。