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用于快速鉴别和亚型分析的基质辅助激光解吸电离质谱光谱数据库

MALDI Spectra Database for Rapid Discrimination and Subtyping of .

作者信息

Murugaiyan Jayaseelan, Lewin Astrid, Kamal Elisabeth, Bakuła Zofia, van Ingen Jakko, Ulmann Vit, Unzaga Barañano Miren J, Humięcka Joanna, Safianowska Aleksandra, Roesler Uwe H, Jagielski Tomasz

机构信息

Centre for Infectious Medicine, Institute of Animal Hygiene and Environmental Health, Freie Universität Berlin, Berlin, Germany.

Division 16, Mycotic and Parasitic Agents and Mycobacteria, Robert Koch Institute, Berlin, Germany.

出版信息

Front Microbiol. 2018 Apr 3;9:587. doi: 10.3389/fmicb.2018.00587. eCollection 2018.

DOI:10.3389/fmicb.2018.00587
PMID:29670585
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5893902/
Abstract

is an emerging non-tuberculous mycobacterial (NTM) pathogen capable of causing severe lung disease. Of the seven currently recognized genotypes (I-VII), genotypes I and II are most prevalent and have been associated with human disease, whereas the other five (III-VII) genotypes are predominantly of environmental origin and are believed to be non-pathogenic. Subtyping of serves as a valuable tool to guide clinicians in pursuing diagnosis and to initiate the proper timely treatment. Most of the previous rapid diagnostic tests for mycobacteria employing the matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS) technology focused on species-level identification. The purpose of this study was to establish MALDI-TOF MS reference spectra database for discrimination of at the genotype level. A panel of 32 strains, representatives of genotypes I-VI were selected, whole cell proteins extracted and measured with MALDI-TOF MS. A unique main spectra (MSP) library was created using MALDI Biotyper Compass Explorer software. The spectra reproducibility was assessed by computing composite correlation index and MSPs cross-matching. One hundred clinical isolates used for testing of the database resulted in 90% identification at genus-level, 7% identification at species-level and 2% identification was below the threshold of log score value 1.7, of which all were correct at genotype level. One strain could not be identified. On the other hand, 37% of strains were identified at species level, 40% at genus level and 23% was not identified with the manufacturer's database. The MALDI-TOF MS was proven a rapid and robust tool to detect and differentiate between genotypes. It is concluded that MALDI-TOF MS has a potential to be incorporated into the routine diagnostic workflow of and possibly other NTM species.

摘要

是一种新兴的非结核分枝杆菌(NTM)病原体,能够引起严重的肺部疾病。在目前公认的七种基因型(I - VII)中,基因型I和II最为普遍,且与人类疾病相关,而其他五种(III - VII)基因型主要源自环境,被认为是非致病性的。对[病原体名称]进行亚型分型是指导临床医生进行诊断并及时启动适当治疗的宝贵工具。以往大多数采用基质辅助激光解吸/电离飞行时间质谱(MALDI - TOF MS)技术的分枝杆菌快速诊断测试都集中在种水平的鉴定上。本研究的目的是建立用于在基因型水平区分[病原体名称]的MALDI - TOF MS参考光谱数据库。选择了一组32株代表基因型I - VI的菌株,提取全细胞蛋白并用MALDI - TOF MS进行测量。使用MALDI Biotyper Compass Explorer软件创建了一个独特的主光谱(MSP)库。通过计算复合相关指数和MSP交叉匹配来评估光谱的重现性。用于测试该数据库的100株临床[病原体名称]分离株在属水平的鉴定率为90%,在种水平的鉴定率为7%,2%的鉴定低于对数得分值1.7的阈值,其中所有在基因型水平都是正确的。有一株无法鉴定。另一方面,使用制造商的数据库时,37%的菌株在种水平被鉴定,40%在属水平被鉴定,23%未被鉴定。MALDI - TOF MS被证明是一种快速且可靠的工具,可用于检测和区分[病原体名称]的基因型。结论是MALDI - TOF MS有潜力被纳入[病原体名称]以及可能其他NTM物种的常规诊断工作流程中。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ac0c/5893902/a6354e71a381/fmicb-09-00587-g0005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ac0c/5893902/350b03f883b1/fmicb-09-00587-g0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ac0c/5893902/ec28861f2d10/fmicb-09-00587-g0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ac0c/5893902/691aac7c9983/fmicb-09-00587-g0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ac0c/5893902/83dca29c5218/fmicb-09-00587-g0004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ac0c/5893902/a6354e71a381/fmicb-09-00587-g0005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ac0c/5893902/350b03f883b1/fmicb-09-00587-g0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ac0c/5893902/ec28861f2d10/fmicb-09-00587-g0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ac0c/5893902/691aac7c9983/fmicb-09-00587-g0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ac0c/5893902/83dca29c5218/fmicb-09-00587-g0004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ac0c/5893902/a6354e71a381/fmicb-09-00587-g0005.jpg

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