首页|基质辅助激光解吸电离飞行时间质谱自建库鉴定临床常见致病丝状真菌的研究

基质辅助激光解吸电离飞行时间质谱自建库鉴定临床常见致病丝状真菌的研究

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  • 国家科技期刊平台
  • NETL
  • NSTL
  • 万方数据
目的:评估基质辅助激光解吸电离飞行时间质谱(MALDI-TOF MS)技术鉴定临床常见致病丝状真菌的准确性.方法:采用AUTOF MS1000质谱系统,在原有商业参考库的基础上,增补构建自建数据库,采用125株临床分离菌株对自建库进行验证.结果:自建库新增菌株包括:皮肤癣菌3个属15种菌种,共76株;曲霉属30个菌种,共75株.以已有商业数据库加自建数据库为比对标准,125株临床分离菌株属水平鉴定率100%,种水平鉴定率达80.8%;以分子鉴定结果为金标准,正确鉴定率94.1%.其中,69株皮肤癣菌的种水平鉴定率为79.7%,正确鉴定率92.7%;56株曲霉菌种水平鉴定率为82.1%,正确鉴定率95.6%;错误鉴定6株,集中在须癣毛癣菌复合体(T.mentagrophytes series)菌种趾间毛癣菌/须癣毛癣菌/昆可努发癣菌(T.inter-digitale/T.mentagrophytes/T.quinckeanum)交叉识别及Sect.Nigri中黑曲霉(A.niger)与塔宾曲霉(A.tubingensis)交叉识别.结论:通过补充完善自建库可提高MALDI-TOF MS鉴定丝状真菌的准确率;同时,参考数据库及时扩展和更新,以确保MAL-DI-TOF MS准确鉴定真菌菌种的能力.
Study on identification of clinical filamentous fungi using MALDI-TOF MS self-built data-base
Objective:To evaluate the accuracy of matrix-assisted laser desorption ionization time-of-flight mass spectrometry(MALDI-TOF MS)in identifying clinical filamentous fungi.Methods:A self-built database was constructed on the basis of the original commercial reference database using AUTOF MS1000 mass spectrometry system,and 125 clinically isolated strains were used to verify it.Results:The self-built database newly added 15 species from 3 genera of dermatophytes,totaling 76 strains and 30 species of Aspergillus,totaling 75 strains.The genus-level identification rate of 125 clinically isolated strains was 100%based on existing commercial database and self-built database;the species-level identification rate reached 80.8%.Using the molecular identification as the gold standard,the correct identification rate was 94.1%.Among them,the species-level identification rate of dermatophytes was 79.7%,and the correct identification rate was 92.7%;the species-level identification rate of 56 Aspergillus was 82.1%,and the correct identification rate was 95.6%.Six strains were incorrectly identified,concentrated in T.mentagrophytes series whose T.interdigitale,T.mentagrophytes,and T.quinckeanum were cross-identification,and in Sect.Nigri whose A.niger and A.tubingensis were cross-identification.Conclusion:The accuracy of MALDI-TOF MS identification of filamentous fungi can be improved by supplementing and per-fecting the self-built database.Meanwhile,the reference database should be expanded and updated in time to en-sure the ability of MALDI-TOF MS to accurately identify fungal strains.

matrix-assisted laser desorption ionization time-of-flight mass spectrometryself-built databaseder-matophytesAspergillus

张璐、赵蓉芬、孙艳霞、S.de Hoog、Jos Houbraken、邓淑文、张虹

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苏州高新区人民医院医学研究中心,苏州 215004

苏州高新区人民医院检验科,苏州 215004

Centre of Expertise in Mycology of Radboud University Medical Centre/Canisius Wilhelmina Hospital, Nijme-gen 6500 HB

Westerdijk Fungal Biodiversity Institute, Utrecht 3508 AD

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基质辅助激光解吸电离飞行时间质谱 自建库 皮肤癣菌 曲霉

苏州市科技计划苏州高新区人民医院科学创新基金苏州高新区人民医院科学创新基金苏州高新区人民医院科学创新基金

SKY2022037SGY2019B01SGY2021C01SGY2022A01

2024

10.16190/j.cnki.45-1211/r.2024.04.004

广西医科大学学报
广西医科大学

广西医科大学学报

CSTPCD
影响因子：0.788
ISSN：1005-930X
年,卷(期)：2024.41(4)
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