Species Identification and Delineation of Pathogenic Mucorales by Matrix-Assisted Laser Desorption Ionization-Time of Flight Mass Spectrometry
Species Identification and Delineation of Pathogenic Mucorales by Matrix-Assisted Laser Desorption Ionization-Time of Flight Mass Spectrometry
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DOI：
10.1128/jcm.01886-17
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发表时间：
2018-04-01
影响因子：
9.4
通讯作者：
Yu, Jin
中科院分区：
文献类型：
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作者：
Shao, Jin;Wan, Zhe;Yu, Jin
本研究旨在验证基于基质辅助激光解吸电离飞行时间质谱（MALDI-TOF MS）的毛霉目丝状真菌鉴定的有效性。选取北京大学医学真菌研究中心保存的6个属111个分离物进行MALDI-TOF MS分析。我们重点研究了23株主要分离自中国患者的不规则毛霉。我们首先使用Bruker丝状真菌文库（v1.0）鉴定所有111个分离株。为了提高鉴定率，我们建立了一个补充性的内部数据库，即北京医科大学（BMU）数据库，使用了包括M.不规则毛霉、冬季毛霉、总状毛霉、Cunninghamella bertholletiae、Cunninghamella phaeospora和Cunninghamella echinulata。然后使用Bruker文库和BMU数据库的组合通过MALDI-TOF MS鉴定所有111个分离株。单独使用Bruker丝状真菌文库v1.0，MALDI-TOF MS在种和属水平分别鉴定了55个（49.5%）和74个（66.7%）分离株。Bruker文库和BMU数据库的组合允许MALDI-TOF MS在种和属水平上分别鉴定90个（81.1%）和111个（100%）分离株，准确率显著提高。当单独使用Bruker文库时，由于缺乏一些真菌物种，MALDITOF MS对毛霉目鉴定不佳。相比之下，该技术完美地识别了M。在将相关参考菌株的主谱图（MSP）添加到Bruker文库之后，对不规则菌进行鉴定。凭借扩展的Bruker文库，MALDI-TOF MS是鉴定致病性毛霉菌的有效工具。
This study aimed to validate the effectiveness of matrix-assisted laser desorption ionization-time of flight mass spectrometry (MALDI-TOF MS)-based identification of filamentous fungi of the order Mucorales. A total of 111 isolates covering six genera preserved at the Research Center for Medical Mycology of Peking University were selected for MALDI-TOF MS analysis. We emphasized the study of 23 strains of Mucor irregularis predominantly isolated from patients in China. We first used the Bruker Filamentous Fungi library (v1.0) to identify all 111 isolates. To increase the identification rate, we created a compensatory in-house database, the Beijing Medical University (BMU) database, using 13 reference strains covering 6 species, including M. irregularis, Mucor hiemalis, Mucor racemosus, Cunninghamella bertholletiae, Cunninghamella phaeospora, and Cunninghamella echinulata. All 111 isolates were then identified by MALDI-TOF MS using a combination of the Bruker library and BMU database. MALDI-TOF MS identified 55 (49.5%) and 74 (66.7%) isolates at the species and genus levels, respectively, using the Bruker Filamentous Fungi library v1.0 alone. A combination of the Bruker library and BMU database allowed MALDI-TOF MS to identify 90 (81.1%) and 111 (100%) isolates at the species and genus levels, respectively, with a significantly increased accuracy rate. MALDITOF MS poorly identified Mucorales when the Bruker library was used alone due to its lack of some fungal species. In contrast, this technique perfectly identified M. irregularis after main spectrum profiles (MSPs) of relevant reference strains were added to the Bruker library. With an expanded Bruker library, MALDI-TOF MS is an effective tool for the identification of pathogenic Mucorales.