Highly reliable LC-MS lipidomics database for efficient human plasma profiling based on NIST SRM 1950.

IF 5 2区 医学 Q1 BIOCHEMISTRY & MOLECULAR BIOLOGY Journal of Lipid Research Pub Date : 2024-10-10 DOI:10.1016/j.jlr.2024.100671
Sara Martínez, Miguel Fernández-García, Sara Londoño-Osorio, Coral Barbas, Ana Gradillas
{"title":"Highly reliable LC-MS lipidomics database for efficient human plasma profiling based on NIST SRM 1950.","authors":"Sara Martínez, Miguel Fernández-García, Sara Londoño-Osorio, Coral Barbas, Ana Gradillas","doi":"10.1016/j.jlr.2024.100671","DOIUrl":null,"url":null,"abstract":"<p><p>Liquid chromatography coupled to high-resolution mass spectrometry (LC-HRMS)-based methods have become the gold standard methodology for the comprehensive profiling of the human plasma lipidome. However, both the complexity of lipid chemistry and LC-HRMS-associated data pose challenges to the characterization of this biological matrix. In accordance with the current consensus of quality requirements for LC-HRMS lipidomics data, we aimed to characterize the NIST® Standard Reference Material for Human Plasma (SRM 1950) using an LC-ESI(+/-)-MS method compatible with high-throughput lipidome profiling. We generated a highly curated lipid database with increased coverage, quality, and consistency, including additional quality assurance procedures involving adduct formation, within-method m/z evaluation, retention behavior of species within lipid chain isomers, and expert-driven resolution of isomeric and isobaric interferences. As a proof-of-concept, we showed the utility of our in-house LC-MS lipidomic database -consisting of 592 lipid entries- for the fast, comprehensive, and reliable lipidomic profiling of the human plasma from healthy human volunteers. We are confident that the implementation of this robust resource and methodology will have a significant impact by reducing data redundancy and the current delays and bottlenecks in untargeted plasma lipidomic studies.</p>","PeriodicalId":16209,"journal":{"name":"Journal of Lipid Research","volume":" ","pages":"100671"},"PeriodicalIF":5.0000,"publicationDate":"2024-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Lipid Research","FirstCategoryId":"99","ListUrlMain":"https://doi.org/10.1016/j.jlr.2024.100671","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"BIOCHEMISTRY & MOLECULAR BIOLOGY","Score":null,"Total":0}
引用次数: 0

Abstract

Liquid chromatography coupled to high-resolution mass spectrometry (LC-HRMS)-based methods have become the gold standard methodology for the comprehensive profiling of the human plasma lipidome. However, both the complexity of lipid chemistry and LC-HRMS-associated data pose challenges to the characterization of this biological matrix. In accordance with the current consensus of quality requirements for LC-HRMS lipidomics data, we aimed to characterize the NIST® Standard Reference Material for Human Plasma (SRM 1950) using an LC-ESI(+/-)-MS method compatible with high-throughput lipidome profiling. We generated a highly curated lipid database with increased coverage, quality, and consistency, including additional quality assurance procedures involving adduct formation, within-method m/z evaluation, retention behavior of species within lipid chain isomers, and expert-driven resolution of isomeric and isobaric interferences. As a proof-of-concept, we showed the utility of our in-house LC-MS lipidomic database -consisting of 592 lipid entries- for the fast, comprehensive, and reliable lipidomic profiling of the human plasma from healthy human volunteers. We are confident that the implementation of this robust resource and methodology will have a significant impact by reducing data redundancy and the current delays and bottlenecks in untargeted plasma lipidomic studies.

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
基于 NIST SRM 1950 的高度可靠的 LC-MS 脂质组学数据库,可用于高效的人体血浆分析。
基于液相色谱-高分辨质谱(LC-HRMS)的方法已成为全面分析人体血浆脂质体的黄金标准方法。然而,脂质化学的复杂性和 LC-HRMS 相关数据给这一生物基质的表征带来了挑战。根据目前对 LC-HRMS 脂质组学数据质量要求的共识,我们旨在使用与高通量脂质组分析兼容的 LC-ESI(+/-)-MS 方法表征 NIST® 人血浆标准参考物质(SRM 1950)。我们生成了一个覆盖面更广、质量更高和一致性更强的脂质数据库,其中包括额外的质量保证程序,涉及加合物形成、方法内 m/z 评估、脂质链异构体内物种的保留行为,以及专家驱动的异构体和同位干扰解析。作为概念验证,我们展示了由 592 个脂质条目组成的内部 LC-MS 脂质组数据库在快速、全面、可靠地分析健康人体志愿者血浆脂质组方面的实用性。我们相信,这一强大的资源和方法的实施将产生重大影响,减少数据冗余以及目前非靶向血浆脂质体研究中的延迟和瓶颈。
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
Journal of Lipid Research
Journal of Lipid Research 生物-生化与分子生物学
CiteScore
11.10
自引率
4.60%
发文量
146
审稿时长
41 days
期刊介绍: The Journal of Lipid Research (JLR) publishes original articles and reviews in the broadly defined area of biological lipids. We encourage the submission of manuscripts relating to lipids, including those addressing problems in biochemistry, molecular biology, structural biology, cell biology, genetics, molecular medicine, clinical medicine and metabolism. Major criteria for acceptance of articles are new insights into mechanisms of lipid function and metabolism and/or genes regulating lipid metabolism along with sound primary experimental data. Interpretation of the data is the authors’ responsibility, and speculation should be labeled as such. Manuscripts that provide new ways of purifying, identifying and quantifying lipids are invited for the Methods section of the Journal. JLR encourages contributions from investigators in all countries, but articles must be submitted in clear and concise English.
期刊最新文献
In memoriam: Ana Jonas, PhD. Lysophosphatidylethanolamine improves diastolic dysfunction by alleviating mitochondrial injury in the aging heart. Chiral Clues to Lipid Identity. The antidepressant drug sertraline is a novel inhibitor of yeast Pah1 and human lipin 1 phosphatidic acid phosphatases. The bile acid chenodeoxycholic acid associates with reduced stroke in humans and mice.
×
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:481959085
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