• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

使用基质辅助激光解吸电离飞行时间质谱(MALDI-TOF MS)结合简化的样品处理和内部数据库提高丝状真菌的物种鉴定率。

Increased species-assignment of filamentous fungi using MALDI-TOF MS coupled with a simplified sample processing and an in-house library.

作者信息

Zvezdanova M E, Escribano P, Ruiz A, Martínez-Jiménez M C, Peláez T, Collazos A, Guinea J, Bouza E, Rodríguez-Sánchez B

机构信息

Clinical Microbiology and Infectious Diseases Department, Hospital General Universitario Gregorio Marañón, Madrid, Spain.

Instituto de Investigación Sanitaria Gregorio Marañón, Madrid, Spain.

出版信息

Med Mycol. 2019 Jan 1;57(1):63-70. doi: 10.1093/mmy/myx154.

DOI:10.1093/mmy/myx154
PMID:29444330
Abstract

In this study we evaluated the capacity of MALDI-TOF MS (Bruker Daltonics, Bremen, Germany) to identify clinical mould isolates. We focused on two aspects of MALDI-TOF MS identification: the sample processing and the database. Direct smearing of the sample was compared with a simplified processing consisting of mechanical lysis of the moulds followed by a protein extraction step. Both methods were applied to all isolates and the Filamentous Fungi Library 1.0 (Bruker Daltonics) was used for their identification. This approach allowed the correct species-level identification of 25/34 Fusarium spp. and 10/10 Mucor circinelloides isolates using the simplified sample processing. In addition, 7/34 Fusarium spp. and 1/21 Pseudallescheria/Scedosporium spp. isolates were correctly identified at the genus level. The remaining isolates-60-could not be identified using the commercial database, mainly because of the low number of references for some species and the absence of others. Thus, an in-house library was built with 63 local isolates previously characterized using DNA sequence analysis. Its implementation allowed the accurate identification at the species level of 94 isolates (91.3%) and the remaining nine isolates (8.7%) were correctly identified at the genus level. No misidentifications at genus level were detected. In conclusion, with improvements of both the sample preparation and the feeding of the database, MALDI-TOF MS is a reliable, ready to use method to identify moulds of clinical origin in an accurate, rapid, and cost-effective manner.

摘要

在本研究中,我们评估了基质辅助激光解吸电离飞行时间质谱(MALDI-TOF MS,布鲁克道尔顿公司,德国不来梅)鉴定临床霉菌分离株的能力。我们聚焦于MALDI-TOF MS鉴定的两个方面:样本处理和数据库。将样本直接涂片与一种简化处理方法进行比较,简化处理方法包括对霉菌进行机械裂解,随后进行蛋白质提取步骤。两种方法均应用于所有分离株,并使用丝状真菌库1.0(布鲁克道尔顿公司)进行鉴定。采用简化样本处理方法,这种方法能够正确鉴定出25/34株镰刀菌属菌株和10/10株卷枝毛霉分离株的物种水平。此外,7/34株镰刀菌属菌株和1/21株拟阿利什霉/帚霉属菌株在属水平上被正确鉴定。其余60株分离株无法使用商业数据库进行鉴定,主要原因是某些物种的参考序列数量较少以及其他物种序列缺失。因此,利用先前通过DNA序列分析鉴定的63株本地分离株构建了一个内部文库。该文库的应用使得94株分离株(91.3%)在物种水平上得到准确鉴定,其余9株分离株(8.7%)在属水平上被正确鉴定。未检测到属水平的错误鉴定。总之,通过改进样本制备和数据库输入,MALDI-TOF MS是一种可靠、易于使用的方法,能够以准确、快速且经济高效的方式鉴定临床来源的霉菌。

相似文献

1
Increased species-assignment of filamentous fungi using MALDI-TOF MS coupled with a simplified sample processing and an in-house library.使用基质辅助激光解吸电离飞行时间质谱(MALDI-TOF MS)结合简化的样品处理和内部数据库提高丝状真菌的物种鉴定率。
Med Mycol. 2019 Jan 1;57(1):63-70. doi: 10.1093/mmy/myx154.
2
Validation of an expanded, in-house library and an optimized preparation method for the identification of fungal isolates using MALDI-TOF mass spectrometry.利用 MALDI-TOF 质谱法鉴定真菌分离物的扩展内部文库和优化制备方法的验证。
Med Mycol. 2023 Apr 3;61(4). doi: 10.1093/mmy/myad038.
3
Identification of filamentous fungi isolates by MALDI-TOF mass spectrometry: clinical evaluation of an extended reference spectra library.通过基质辅助激光解吸电离飞行时间质谱法鉴定丝状真菌分离株:扩展参考光谱库的临床评估
Med Mycol. 2014 Nov;52(8):826-34. doi: 10.1093/mmy/myu064.
4
MALDI-TOF mass spectrometry for rapid identification of clinical fungal isolates based on ribosomal protein biomarkers.基于核糖体蛋白质生物标志物的基质辅助激光解吸电离飞行时间质谱法快速鉴定临床真菌分离株
J Microbiol Methods. 2015 Feb;109:93-105. doi: 10.1016/j.mimet.2014.12.014. Epub 2014 Dec 23.
5
Comparison of two matrix-assisted laser desorption ionization-time of flight mass spectrometry systems for the identification of clinical filamentous fungi.两种基质辅助激光解吸电离飞行时间质谱系统用于临床丝状真菌鉴定的比较
World J Microbiol Biotechnol. 2017 Jul;33(7):142. doi: 10.1007/s11274-017-2297-3. Epub 2017 Jun 12.
6
Evaluation of three MALDI-TOF mass spectrometry libraries for the identification of filamentous fungi in three clinical microbiology laboratories in Manitoba, Canada.评价三种 MALDI-TOF 质谱文库在加拿大马尼托巴省三个临床微生物学实验室鉴定丝状真菌的效果。
Mycoses. 2018 Oct;61(10):743-753. doi: 10.1111/myc.12800. Epub 2018 Jul 2.
7
Decision criteria for MALDI-TOF MS-based identification of filamentous fungi using commercial and in-house reference databases.基于基质辅助激光解吸电离飞行时间质谱(MALDI-TOF MS),使用商业和内部参考数据库鉴定丝状真菌的决策标准。
BMC Microbiol. 2017 Jan 31;17(1):25. doi: 10.1186/s12866-017-0937-2.
8
Matrix-assisted laser desorption ionization time-of-flight mass spectrometry for rapid identification of mold and yeast cultures of Penicillium marneffei.基质辅助激光解吸电离飞行时间质谱法快速鉴定马尔尼菲青霉菌的霉菌和酵母培养物
BMC Microbiol. 2016 Mar 10;16:36. doi: 10.1186/s12866-016-0656-0.
9
Rapid identification of 6328 isolates of pathogenic yeasts using MALDI-ToF MS and a simplified, rapid extraction procedure that is compatible with the Bruker Biotyper platform and database.使用基质辅助激光解吸电离飞行时间质谱(MALDI-ToF MS)以及与布鲁克微生物鉴定系统平台和数据库兼容的简化快速提取程序,对6328株致病性酵母进行快速鉴定。
Med Mycol. 2016 Jan;54(1):80-8. doi: 10.1093/mmy/myv085. Epub 2015 Nov 21.
10
Developing Two Rapid Protein Extraction Methods Using Focused-Ultrasonication and Zirconia-Silica Beads for Filamentous Fungi Identification by MALDI-TOF MS.采用聚焦超声和氧化锆-硅珠法建立两种快速蛋白提取方法,用于 MALDI-TOF MS 对丝状真菌进行鉴定。
Front Cell Infect Microbiol. 2021 Jul 6;11:687240. doi: 10.3389/fcimb.2021.687240. eCollection 2021.

引用本文的文献

1
Diagnostic Challenges in Fungal Coinfections Associated With Global COVID-19.与全球新冠疫情相关的真菌合并感染的诊断挑战
Scientifica (Cairo). 2025 May 7;2025:6840605. doi: 10.1155/sci5/6840605. eCollection 2025.
2
Identification of Challenging Dermatophyte Species Using Matrix-Assisted Laser Desorption/Ionization Time-of-Flight Mass Spectrometry.使用基质辅助激光解吸/电离飞行时间质谱法鉴定具有挑战性的皮肤癣菌种类
J Fungi (Basel). 2025 Jan 31;11(2):107. doi: 10.3390/jof11020107.
3
Performance of the VITEK® MS system for the identification of filamentous fungi in a microbiological laboratory in Chile.
VITEK® MS系统在智利一家微生物实验室中用于丝状真菌鉴定的性能
PLoS One. 2024 Dec 23;19(12):e0315690. doi: 10.1371/journal.pone.0315690. eCollection 2024.
4
Scedosporiosis and lomentosporiosis: modern perspectives on these difficult-to-treat rare mold infections.鞘内孢子菌病和节孢子菌病:这些难以治疗的罕见霉菌感染的现代观点。
Clin Microbiol Rev. 2024 Jun 13;37(2):e0000423. doi: 10.1128/cmr.00004-23. Epub 2024 Mar 29.
5
Disseminated Infections: A Systematic Review of Reported Cases.播散性感染:报告病例的系统评价
Pathogens. 2022 Dec 31;12(1):67. doi: 10.3390/pathogens12010067.
6
How MALDI-TOF Mass Spectrometry Technology Contributes to Microbial Infection Control in Healthcare Settings.基质辅助激光解吸电离飞行时间质谱技术如何助力医疗机构的微生物感染控制。
Vaccines (Basel). 2022 Nov 8;10(11):1881. doi: 10.3390/vaccines10111881.
7
Identification and Typing of Strains of Wood-Rotting Basidiomycetes by Protein Profiling Using MALDI-TOF MS.基于基质辅助激光解吸电离飞行时间质谱蛋白质谱分析的木腐担子菌菌株鉴定与分型
BioTech (Basel). 2022 Jul 27;11(3):30. doi: 10.3390/biotech11030030.
8
: An Emerging Opportunistic Fungal Pathogen.一种新兴的机会性真菌病原体。
Microorganisms. 2022 Jun 29;10(7):1317. doi: 10.3390/microorganisms10071317.
9
Identification of Filamentous Fungi by MALDI-TOF Mass Spectrometry: Evaluation of Three Different Sample Preparation Methods and Validation of an In-House Species Cutoff.基质辅助激光解吸电离飞行时间质谱法鉴定丝状真菌:三种不同样品制备方法的评估及内部物种截断值的验证
J Fungi (Basel). 2022 Apr 10;8(4):383. doi: 10.3390/jof8040383.
10
Performance of Matrix-Assisted Laser Desorption Ionization-Time of Flight Mass Spectrometry for Identification of , -Like, , and Species.基质辅助激光解吸电离飞行时间质谱法用于鉴定、类、和物种的性能。
Front Microbiol. 2022 Mar 2;13:841286. doi: 10.3389/fmicb.2022.841286. eCollection 2022.