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Identification of Nocardia species using matrix-assisted laser desorption/ionization-time-of-flight mass spectrometry

机译:使用基质辅助激光解吸/电离飞行时间质谱鉴定诺卡氏菌

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Background: The MALDI (matrix-assisted laser desorption/ionization) Biotyper system for bacterial identification has already been utilized in clinical microbiology laboratories as a successful clinical application of protoemics. However, in cases of Nocardia, mass spectra suitable for MALDI Biotyper identification are often not obtained if such specimens are processed like general bacteria. This problem is related to the insufficiencies in bacterial spectrum databases that preclude accurate specimen identification. Here, we developed a bacterial processing method to improve mass spectra from specimens of the genus Nocardia. In addition, with the new processing method, we constructed a novel in-house bacterial database that combines a commercial database and mass spectra of Nocardia strains from the Department of Clinical Laboratory at Chiba University Hospital (DCLC) and the Medical Mycology Research Center at Chiba University (MMRC).Results: The newly developed method (Nocardia Extraction Method at DCLC [NECLC]) based on ethanol-formic acid extraction (EFAE) improved mass spectra obtained from Nocardia specimens. The Nocardia in-house database at Chiba University Hospital (NDCUH) was then successfully validated. In brief, prior to introduction of the NECLC and NDCUH, 10 of 64 (15.6%) clinical isolates were identified at the species level and 16 isolates (25.0%) could only be identified at the genus level. In contrast, after the introduction, 58 isolates (90.6%) were identified at the species level and 6 isolates (9.4%) were identified at the genus level.Conclusions: The results of this study suggest that MALDI-TOF (time-of-flight) Biotyper system can identify Nocardia accurately in a short time in combination with a simple processing method and an in-house database.
机译:背景:用于细菌鉴定的MALDI(基质辅助激光解吸/电离)Biotyper系统已经作为原形生物的成功临床应用在临床微生物学实验室中使用。但是,在诺卡氏菌的情况下,如果像普通细菌一样处理此类标本,则通常无法获得适用于MALDI Biotyper鉴定的质谱。此问题与细菌光谱数据库的不足有关,从而无法进行准确的标本识别。在这里,我们开发了一种细菌处理方法来改善诺卡氏菌属标本的质谱。此外,通过新的处理方法,我们构建了一个新颖的内部细菌数据库,该数据库结合了千叶大学医院(DCLC)临床实验室部门和千叶医学真菌学研究中心的诺卡氏菌菌株的商业数据库和质谱图大学(MMRC)。结果:基于乙醇-甲酸萃取(EFAE)的新开发的方法(DCLC的诺卡氏提取法[NECLC])改善了从诺卡氏菌样品获得的质谱。千叶大学医院(NDCUH)的Nocardia内部数据库随后被成功验证。简而言之,在引入NECLC和NDCUH之前,在物种水平上鉴定出64种临床分离株中的10种(15.6%),而在属水平上仅鉴定出16种分离株(25.0%)。相比之下,引入后,在物种水平上鉴定出58个分离株(90.6%),在属水平上鉴定出6个菌株(9.4%)。结论:本研究的结果表明MALDI-TOF(时间)飞行)Biotyper系统结合简单的处理方法和内部数据库,可以在短时间内准确识别诺卡氏菌。

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