Evaluation of MALDI-TOF mass spectrometry for the identification of medically-important yeasts in the clinical laboratories of Dijon and Lille hospitals

Evaluation of MALDI-TOF mass spectrometry for the identification of medically-important yeasts in the clinical laboratories of Dijon and Lille hospitals
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DOI:
10.3109/13693786.2012.693631
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发表时间:
2013-01-01
期刊:
影响因子:
2.9
通讯作者:
Dalle, Frederic
Dalle, Frederic
中科院分区:
医学3区
文献类型:
--
作者:
Sendid, Boualem;Ducoroy, Patrick;Dalle, Frederic

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传统的酵母菌鉴定(CI)是基于形态、生化和/或免疫学方法。基质辅助激光解吸电离飞行时间质谱仪(MALDI-TOF或MT-MS)是一种新的微生物鉴定方法。这项前瞻性研究比较了MT-MS和CI在鉴定临床样本中分离的酵母菌方面的性能。以核糖体DNA内转录间隔区(ITS)区序列测定为参考方法,对1207株酵母菌进行了分析。MT-MS与CI的符合率为91.5%,误判74株(6.1%)。分子鉴定结果表明,74株细菌中有73株经MT-MS鉴定正确,CI鉴定正确的有1株。对于医学上重要的物种,两种技术之间的符合率很高(98-100%),包括鉴定近缘物种(白色念珠菌/都柏林念珠菌;不显性念珠菌/褐念珠菌;近缘假丝酵母菌/变态假丝酵母菌/直立假丝酵母菌)。仅有2.3%的菌株属于法玛塔、兰花、木兰或地霉。和毛孢霉(Trichosporon spp.)未经MT-MS鉴定。这项研究突出了基于MT-MS的酵母菌鉴定作为CI的一种可靠、及时和经济高效的替代品的潜力。
Conventional identification (CI) of yeasts is based on morphological, biochemical and/or immunological methods. Matrix-assisted laser desorption/ionization - time of flight (MALDI-TOF or MT-MS) mass spectrometry has been proposed as a new method for the identification of microorganisms. This prospective study compared the performance of MT-MS and CI for the identification of yeasts isolated from clinical samples. Sequencing of the internal transcribed spacer (ITS) regions of ribosomal DNA was used as the reference method in the analysis of a total of 1207 yeast isolates. Concordance between MT-MS and CI was observed for 1105 isolates (91.5%), while 74 isolates (6.1%) were misidentified. Molecular identification revealed that 73 of these 74 isolates were identified correctly by MT-MS and CI correctly identified the last one. Concordance between the two techniques was excellent for the medically-important species (98-100%), including the identification of closely-related species (Candida albicans/C. dubliniensis; C. inconspicua/C. norvegensis; C. parapsilosis/C. metapsilosis/C. orthopsilosis). Only 2.3% of isolates belonging to C. famata, C. lambica and C. magnoliae or to Geotrichum spp. and Trichosporon spp. were not identified by MT-MS. This investigation highlights the potential of MT-MS-based yeast identification as a reliable, time and cost-efficient alternative to CI.