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使用经 LC-QTOF 验证的全面且可重现的非靶向脂质组学工作流程分析人血浆。

Comprehensive and Reproducible Untargeted Lipidomic Workflow Using LC-QTOF Validated for Human Plasma Analysis.

机构信息

Montreal Heart Institute , Research Center, 5000 Belanger Street , Montreal , Quebec H1T 1C8 , Canada.

Department of Medicine , Université de Montréal , Montreal , Quebec H3T 1J4 , Canada.

出版信息

J Proteome Res. 2018 Nov 2;17(11):3657-3670. doi: 10.1021/acs.jproteome.8b00270. Epub 2018 Oct 10.

Abstract

The goal of this work was to develop a label-free, comprehensive, and reproducible high-resolution liquid chromatography-mass spectrometry (LC-MS)-based untargeted lipidomic workflow using a single instrument, which could be applied to biomarker discovery in both basic and clinical studies. For this, we have (i) optimized lipid extraction and elution to enhance coverage of polar and nonpolar lipids as well as resolution of their isomers, (ii) ensured MS signal reproducibility and linearity, and (iii) developed a bioinformatic pipeline to correct remaining biases. Workflow validation is reported for 48 replicates of a single human plasma sample: 1124 reproducible LC-MS signals were extracted (median signal intensity RSD = 10%), 50% of which are redundant due to adducts, dimers, in-source fragmentation, contaminations, or positive and negative ion duplicates. From the resulting 578 unique compounds, 428 lipids were identified by MS/MS, including acyl chain composition, of which 394 had RSD < 30% inside their linear intensity range, thereby enabling robust semiquantitation. MS signal intensity spanned 4 orders of magnitude, covering 16 lipid subclasses. Finally, the power of our workflow is illustrated by a proof-of-concept study in which 100 samples from healthy human subjects were analyzed and the data set was investigated using three different statistical testing strategies in order to compare their capacity in identifying the impact of sex and age on circulating lipids.

摘要

本工作旨在开发一种无标记、全面且可重现的基于高效液相色谱-质谱(LC-MS)的非靶向脂质组学工作流程,该流程使用单一仪器,可应用于基础研究和临床研究中的生物标志物发现。为此,我们(i)优化了脂质提取和洗脱条件,以增强对极性和非极性脂质的覆盖范围以及对其异构体的分辨率,(ii)确保了 MS 信号的重现性和线性,以及(iii)开发了一种生物信息学管道来纠正剩余的偏差。我们报告了对单个人类血浆样本的 48 个重复的工作流程验证:从 1124 个可重现的 LC-MS 信号中提取了 1124 个(信号强度中位数 RSD = 10%),其中 50%由于加合物、二聚体、源内碎裂、污染或正负离子重复而冗余。从所得的 578 种独特化合物中,通过 MS/MS 鉴定了 428 种脂质,包括酰基链组成,其中 394 种在其线性强度范围内的 RSD < 30%,从而实现了稳健的半定量分析。MS 信号强度跨越 4 个数量级,涵盖了 16 个脂质亚类。最后,通过对 100 个健康人类受试者的样本进行分析的概念验证研究,说明了我们工作流程的强大功能,并使用三种不同的统计测试策略对数据集进行了研究,以比较它们识别性别和年龄对循环脂质影响的能力。

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