Chen Jonathan H K, Cheng Vincent C C, Wong Chun-Pong, Wong Sally C Y, Yam Wing-Cheong, Yuen Kwok-Yung
Department of Microbiology, Queen Mary Hospital, Hong Kong Special Administrative Region, China.
Infection Control Team, Queen Mary Hospital, Hong Kong Special Administrative Region, China.
J Clin Microbiol. 2017 Sep;55(9):2679-2685. doi: 10.1128/JCM.00267-17. Epub 2017 Jun 21.
is associated with severe invasive disease, while is considered part of the commensal flora in the human respiratory tract. Although the addition of a custom mass spectrum library into the matrix-assisted laser desorption ionization-time of flight mass spectrometry (MALDI-TOF MS) system could improve identification of these two species, the establishment of such a custom database is technically complicated and requires a large amount of resources, which most clinical laboratories cannot afford. In this study, we developed a mass spectrum analysis model with 7 mass peak biomarkers for the identification of and using the ClinProTools software. We evaluated the diagnostic performance of this model using 408 and isolates from clinical respiratory specimens from 363 hospitalized patients and compared the identification results with those obtained with the Bruker IVD MALDI Biotyper. The IVD MALDI Biotyper identified only 86.9% of (311/358) and 98.0% of (49/50) clinical isolates to the species level. In comparison, the ClinProTools mass spectrum model could identify 100% of (358/358) and (50/50) clinical strains to the species level and significantly improved the species identification rate (McNemar's test, < 0.0001). In conclusion, the use of ClinProTools demonstrated an alternative way for users lacking special expertise in mass spectrometry to handle closely related bacterial species when the proprietary spectrum library failed. This approach should be useful for the differentiation of other closely related bacterial species.
与严重侵袭性疾病相关,而被认为是人类呼吸道共生菌群的一部分。虽然在基质辅助激光解吸电离飞行时间质谱(MALDI-TOF MS)系统中添加自定义质谱库可以提高这两种菌种的鉴定率,但建立这样一个自定义数据库在技术上很复杂,需要大量资源,这是大多数临床实验室无法承受的。在本研究中,我们使用ClinProTools软件开发了一种具有7个质谱峰生物标志物的质谱分析模型,用于鉴定和。我们使用来自363例住院患者临床呼吸道标本的408株和分离株评估了该模型的诊断性能,并将鉴定结果与使用布鲁克IVD MALDI Biotyper获得的结果进行比较。IVD MALDI Biotyper仅将86.9%的(311/358)和98.0%的(49/50)临床分离株鉴定到种水平。相比之下,ClinProTools质谱模型可以将100%的(358/358)和(50/50)临床菌株鉴定到种水平,并显著提高了菌种鉴定率(McNemar检验,<0.0001)。总之,当专有光谱库失效时,ClinProTools的使用为缺乏质谱专业知识的用户提供了一种处理密切相关细菌物种的替代方法。这种方法对于区分其他密切相关的细菌物种应该是有用的。