Absolute quantification of amine metabolites in human cerebrospinal fluid via MS1-centric isotopic N,N-dimethyl leucine (iDiLeu) labeling

IF 3.8 2区 化学 Q1 BIOCHEMICAL RESEARCH METHODS Analytical and Bioanalytical Chemistry Pub Date : 2025-01-24 DOI:10.1007/s00216-025-05748-9
Olga Riusech, Ling Hao, Lingjun Li
{"title":"Absolute quantification of amine metabolites in human cerebrospinal fluid via MS1-centric isotopic N,N-dimethyl leucine (iDiLeu) labeling","authors":"Olga Riusech,&nbsp;Ling Hao,&nbsp;Lingjun Li","doi":"10.1007/s00216-025-05748-9","DOIUrl":null,"url":null,"abstract":"<div><p>Quantitative measurement of metabolites is essential to understand biological and disease processes. Absolute quantification by spiking heavy isotope-labeled internal standards and analyzing on mass spectrometry (MS) platform is a key method to determine the concentration of metabolites in biological samples. However, MS-based absolute quantification is often challenged by the commercial availability and high costs of isotope-labeled internal standards. Here, we establish an absolute quantification method for amine metabolites utilizing isotopic <i>N</i>,<i>N</i>-dimethyl leucine (iDiLeu) tagging on the LC-MS/MS platform. Absolute quantification of metabolites with excellent accuracy and precision can be achieved with five-plex iDiLeu labeling without the need of isotope-labeled internal standards. We demonstrated that iDiLeu labeling improved the separation and detection limits of polar metabolites. Particularly, detection limits for glycine, GABA, and serotonin have been improved by more than 20 folds, and valine by more than 2000 folds. With iDiLeu tagging, 87 amine-containing metabolites were identified and quantified in human cerebrospinal fluid (CSF) samples, revealing potential metabolic changes in Alzheimer’s disease patients.</p><h3>Graphical Abstract</h3>\n<div><figure><div><div><picture><source><img></source></picture></div></div></figure></div></div>","PeriodicalId":462,"journal":{"name":"Analytical and Bioanalytical Chemistry","volume":"417 13","pages":"2797 - 2805"},"PeriodicalIF":3.8000,"publicationDate":"2025-01-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Analytical and Bioanalytical Chemistry","FirstCategoryId":"92","ListUrlMain":"https://link.springer.com/article/10.1007/s00216-025-05748-9","RegionNum":2,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"BIOCHEMICAL RESEARCH METHODS","Score":null,"Total":0}
引用次数: 0

Abstract

Quantitative measurement of metabolites is essential to understand biological and disease processes. Absolute quantification by spiking heavy isotope-labeled internal standards and analyzing on mass spectrometry (MS) platform is a key method to determine the concentration of metabolites in biological samples. However, MS-based absolute quantification is often challenged by the commercial availability and high costs of isotope-labeled internal standards. Here, we establish an absolute quantification method for amine metabolites utilizing isotopic N,N-dimethyl leucine (iDiLeu) tagging on the LC-MS/MS platform. Absolute quantification of metabolites with excellent accuracy and precision can be achieved with five-plex iDiLeu labeling without the need of isotope-labeled internal standards. We demonstrated that iDiLeu labeling improved the separation and detection limits of polar metabolites. Particularly, detection limits for glycine, GABA, and serotonin have been improved by more than 20 folds, and valine by more than 2000 folds. With iDiLeu tagging, 87 amine-containing metabolites were identified and quantified in human cerebrospinal fluid (CSF) samples, revealing potential metabolic changes in Alzheimer’s disease patients.

Graphical Abstract

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
以ms1为中心的同位素N,N-二甲基亮氨酸(iDiLeu)标记法测定人脑脊液中胺代谢物的绝对定量。
代谢物的定量测量对于了解生物和疾病过程至关重要。采用重同位素标记内标和质谱平台分析的绝对定量方法是测定生物样品中代谢物浓度的关键方法。然而,基于质谱的绝对定量常常受到商业可用性和同位素标记内部标准的高成本的挑战。本研究利用同位素N,N-二甲基亮氨酸(iDiLeu)标记,在LC-MS/MS平台上建立了胺类代谢物的绝对定量方法。在不需要同位素标记内标的情况下,采用五重iDiLeu标记可实现代谢物的绝对定量,具有极好的准确度和精密度。我们证明了iDiLeu标记提高了极性代谢物的分离和检测限。特别是甘氨酸、GABA和血清素的检出限提高了20倍以上,缬氨酸的检出限提高了2000倍以上。利用iDiLeu标记,在人脑脊液(CSF)样本中鉴定并定量了87种含胺代谢物,揭示了阿尔茨海默病患者潜在的代谢变化。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
CiteScore
8.00
自引率
4.70%
发文量
638
审稿时长
2.1 months
期刊介绍: Analytical and Bioanalytical Chemistry’s mission is the rapid publication of excellent and high-impact research articles on fundamental and applied topics of analytical and bioanalytical measurement science. Its scope is broad, and ranges from novel measurement platforms and their characterization to multidisciplinary approaches that effectively address important scientific problems. The Editors encourage submissions presenting innovative analytical research in concept, instrumentation, methods, and/or applications, including: mass spectrometry, spectroscopy, and electroanalysis; advanced separations; analytical strategies in “-omics” and imaging, bioanalysis, and sampling; miniaturized devices, medical diagnostics, sensors; analytical characterization of nano- and biomaterials; chemometrics and advanced data analysis.
期刊最新文献
A worldwide scientometric analysis of Isotope Dilution ICP-MS over four decades: a critical perspective. Advances in the application of artificial intelligence in mass spectrometry-based analysis of traditional Chinese medicine: compound identification and metabolic pathway elucidation. Research advances in capillary electrophoresis coating technology for protein analysis. Carbohydrate-based biosensors for enhanced pathogen detection. HiSorb-TD-GC-MS analysis of commercial CBD oils.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1