• 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

基质辅助激光解吸电离飞行时间质谱平台结合机器学习建立快速鉴定耐甲氧西林金黄色葡萄球菌模型。

MALDI-TOF MS platform combined with machine learning to establish a model for rapid identification of methicillin-resistant Staphylococcus aureus.

机构信息

Department of Clinical Laboratory, Renmin Hospital of Wuhan University, Wuhan, 430060, Hubei Province, China.

Department of Clinical Laboratory, Renmin Hospital of Wuhan University, Wuhan, 430060, Hubei Province, China.

出版信息

J Microbiol Methods. 2021 Jan;180:106109. doi: 10.1016/j.mimet.2020.106109. Epub 2020 Nov 30.

DOI:10.1016/j.mimet.2020.106109
PMID:33271209
Abstract

MALDI-TOF MS is an effective potential tool to distinguish between MSSA and MRSA. By combining the ClinProTools3.0 software and manual grouping intervention, we proposed a model optimization method for the first time. The cross validation of the model increased from 95.82% to 96.68%, and the accuracy of the model increased from 88.89% to 91.98%. Finally, we reported nine characteristic peaks of rapid detection of MRSA.

摘要

基质辅助激光解吸电离飞行时间质谱(MALDI-TOF MS)是一种有效的潜在工具,可用于区分 MSSA 和 MRSA。通过结合 ClinProTools3.0 软件和手动分组干预,我们首次提出了一种模型优化方法。模型的交叉验证率从 95.82%提高到 96.68%,模型的准确性从 88.89%提高到 91.98%。最后,我们报告了快速检测 MRSA 的九个特征峰。

相似文献

1
MALDI-TOF MS platform combined with machine learning to establish a model for rapid identification of methicillin-resistant Staphylococcus aureus.基质辅助激光解吸电离飞行时间质谱平台结合机器学习建立快速鉴定耐甲氧西林金黄色葡萄球菌模型。
J Microbiol Methods. 2021 Jan;180:106109. doi: 10.1016/j.mimet.2020.106109. Epub 2020 Nov 30.
2
Rapid Discrimination between Methicillin-Sensitive and Methicillin-Resistant Staphylococcus aureus Using MALDI-TOF Mass Spectrometry.使用基质辅助激光解吸电离飞行时间质谱快速鉴别甲氧西林敏感和耐甲氧西林金黄色葡萄球菌
Biocontrol Sci. 2017;22(3):163-169. doi: 10.4265/bio.22.163.
3
Rapid identification and discrimination of methicillin-resistant Staphylococcus aureus strains via matrix-assisted laser desorption/ionization time-of-flight mass spectrometry.通过基质辅助激光解吸电离飞行时间质谱法快速鉴定和区分耐甲氧西林金黄色葡萄球菌株。
Rapid Commun Mass Spectrom. 2021 Jan 30;35(2):e8972. doi: 10.1002/rcm.8972.
4
Rapid Identification of Methicillin-Resistant Staphylococcus aureus (MRSA) by the Vitek MS Saramis system.使用Vitek MS Saramis系统快速鉴定耐甲氧西林金黄色葡萄球菌(MRSA)
Curr Microbiol. 2016 Jan;72(1):29-32. doi: 10.1007/s00284-015-0913-8. Epub 2015 Sep 15.
5
Matrix-assisted laser desorption ionization time-of-flight mass spectrometry and PCR-based rapid diagnosis of Staphylococcus aureus bacteraemia.基质辅助激光解吸电离飞行时间质谱法和基于 PCR 的快速诊断金黄色葡萄球菌菌血症。
Clin Microbiol Infect. 2014 Apr;20(4):355-60. doi: 10.1111/1469-0691.12329. Epub 2013 Aug 28.
6
Rapid Identification of Methicillin-Resistant Staphylococcus aureus Using MALDI-TOF MS and Machine Learning from over 20,000 Clinical Isolates.利用 MALDI-TOF MS 和机器学习从 20000 多个临床分离株中快速鉴定耐甲氧西林金黄色葡萄球菌。
Microbiol Spectr. 2022 Apr 27;10(2):e0048322. doi: 10.1128/spectrum.00483-22. Epub 2022 Mar 16.
7
[Rapid method study of methicillin-resistant Staphylococcus aureus identified by matrix-assisted laser desorption ionization-time of flight mass spectrometry].基质辅助激光解吸电离飞行时间质谱法鉴定耐甲氧西林金黄色葡萄球菌的快速方法研究
Wei Sheng Yan Jiu. 2011 May;40(3):375-8.
8
Prediction of methicillin-resistant Staphylococcus aureus and carbapenem-resistant Klebsiella pneumoniae from flagged blood cultures by combining rapid Sepsityper MALDI-TOF mass spectrometry with machine learning.采用快速 Sepsityper MALDI-TOF 质谱与机器学习相结合的方法从 flagged 血培养物中预测耐甲氧西林金黄色葡萄球菌和耐碳青霉烯类肺炎克雷伯菌。
Int J Antimicrob Agents. 2023 Dec;62(6):106994. doi: 10.1016/j.ijantimicag.2023.106994. Epub 2023 Oct 4.
9
A large-scale investigation and identification of methicillin-resistant Staphylococcus aureus based on peaks binning of matrix-assisted laser desorption ionization-time of flight MS spectra.基于基质辅助激光解吸电离飞行时间质谱峰聚类分析的耐甲氧西林金黄色葡萄球菌的大规模调查与鉴定。
Brief Bioinform. 2021 May 20;22(3). doi: 10.1093/bib/bbaa138.
10
Automated categorization of methicillin-resistant Staphylococcus aureus clinical isolates into different clonal complexes by MALDI-TOF mass spectrometry.基质辅助激光解吸电离飞行时间质谱法自动将耐甲氧西林金黄色葡萄球菌临床分离株分为不同克隆复合体。
Clin Microbiol Infect. 2016 Feb;22(2):161.e1-161.e7. doi: 10.1016/j.cmi.2015.10.009. Epub 2015 Oct 23.

引用本文的文献

1
Diagnostic methods and protocols for rapid determination of methicillin resistance in Staphylococcus aureus bloodstream infections: a comparative analysis.金黄色葡萄球菌血流感染中耐甲氧西林快速检测的诊断方法与方案:一项比较分析
Eur J Clin Microbiol Infect Dis. 2025 Apr;44(4):827-837. doi: 10.1007/s10096-025-05039-2. Epub 2025 Jan 22.
2
Using Protein Fingerprinting for Identifying and Discriminating Methicillin Resistant Isolates from Inpatient and Outpatient Clinics.利用蛋白质指纹图谱鉴定和区分住院及门诊诊所的耐甲氧西林菌株。
Diagnostics (Basel). 2023 Aug 31;13(17):2825. doi: 10.3390/diagnostics13172825.
3
Performance of a Machine Learning-Based Methicillin Resistance of Identification System Using MALDI-TOF MS and Comparison of the Accuracy according to SCC Types.
基于机器学习的使用基质辅助激光解吸电离飞行时间质谱的耐甲氧西林鉴定系统的性能及根据葡萄球菌染色体盒式 mec 类型的准确性比较
Microorganisms. 2022 Sep 25;10(10):1903. doi: 10.3390/microorganisms10101903.
4
Rapid Identification of Methicillin-Resistant Staphylococcus aureus Using MALDI-TOF MS and Machine Learning from over 20,000 Clinical Isolates.利用 MALDI-TOF MS 和机器学习从 20000 多个临床分离株中快速鉴定耐甲氧西林金黄色葡萄球菌。
Microbiol Spectr. 2022 Apr 27;10(2):e0048322. doi: 10.1128/spectrum.00483-22. Epub 2022 Mar 16.
5
MALDI-TOF mass spectrometry of saliva samples as a prognostic tool for COVID-19.将唾液样本进行基质辅助激光解吸电离飞行时间质谱分析作为新冠病毒病的一种预后工具。
J Oral Microbiol. 2022 Feb 27;14(1):2043651. doi: 10.1080/20002297.2022.2043651. eCollection 2022.