Department of Laboratory Medicine, and Beijing Key Laboratory for Mechanisms Research and Precision Diagnosis of Invasive Fungal Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing, China.
Graduate School, Peking Union Medical College, Beijing, China.
Front Cell Infect Microbiol. 2021 Feb 18;11:628828. doi: 10.3389/fcimb.2021.628828. eCollection 2021.
Matrix-assisted laser desorption ionization-time of flight mass spectrometry (MALDI-TOF MS) has been accepted as a rapid, accurate, and less labor-intensive method in the identification of microorganisms in clinical laboratories. However, there is limited data on systematic evaluation of its effectiveness in the identification of phylogenetically closely-related yeast species. In this study, we evaluated two commercially available MALDI-TOF systems, Autof MS 1000 and Vitek MS, for the identification of yeasts within closely-related species complexes. A total of 1,228 yeast isolates, representing 14 different species of five species complexes, including 479 of complex, 323 of complex, 95 of complex, 16 of complex (including two ), and 315 of complex, collected under the National China Hospital Invasive Fungal Surveillance Net (CHIF-NET) program, were studied. Autof MS 1000 and Vitek MS systems correctly identified 99.2% and 89.2% of the isolates, with major error rate of 0.4% versus 1.6%, and minor error rate of 0.1% versus 3.5%, respectively. The proportion of isolates accurately identified by Autof MS 1000 and Vitek MS per each yeast complex, respectively, was as follows; complex, 99.4% vs 96.3%; complex, 99.0% vs 79.1%; complex, 98.9% vs 94.7%; complex, 100% vs 93.8%; and , 99.4% vs 95.2%. Overall, Autof MS 1000 exhibited good capacity in yeast identification while Vitek MS had lower identification accuracy, especially in the identification of less common species within phylogenetically closely-related species complexes.
基质辅助激光解吸电离飞行时间质谱（MALDI-TOF MS）已被临床实验室接受为一种快速、准确和劳动强度较小的微生物鉴定方法。然而，关于其在鉴定系统发育上密切相关的酵母种方面的有效性的系统评价数据有限。在这项研究中，我们评估了两种市售 MALDI-TOF 系统，Autof MS 1000 和 Vitek MS，用于鉴定密切相关种复合物内的酵母。共研究了来自国家中国医院侵袭性真菌监测网（CHIF-NET）计划收集的 14 个不同种的 5 个种复合物的 1228 个酵母分离株，包括 479 株 复合种，323 株 复合种，95 株 复合种，16 株 复合种（包括 2 株 ）和 315 株 复合种。Autof MS 1000 和 Vitek MS 系统正确鉴定了 99.2%和 89.2%的分离株，主要错误率分别为 0.4%和 1.6%，次要错误率分别为 0.1%和 3.5%。Autof MS 1000 和 Vitek MS 分别正确鉴定每个酵母复合物的分离株比例如下： 复合种，99.4%对 96.3%； 复合种，99.0%对 79.1%； 复合种，98.9%对 94.7%； 复合种，100%对 93.8%； 和 ，99.4%对 95.2%。总体而言，Autof MS 1000 在酵母鉴定方面表现出良好的能力，而 Vitek MS 鉴定准确性较低，尤其是在鉴定系统发育上密切相关的种复合物内不太常见的种时。
