Ultra-performance liquid chromatography-mass spectrometry as a sensitive and powerful technology in lipidomic applications

被引：129

作者：

Zhao, Ying-Yong ^{[1
,2
]}

Wu, Shao-Ping ^{[3
]}

Liu, Shuman ^{[2
]}

Zhang, Yongmin ^{[3
]}

Lin, Rui-Chao ^{[4
]}

机构：

[1] NW Univ Xian, Coll Life Sci, Minist Educ, Key Lab Resource Biol & Biotechnol Western China, Xian 710069, Shaanxi, Peoples R China

[2] Univ Calif Irvine, Sch Med, Div Nephrol & Hypertens, Irvine, CA 92868 USA

[3] Univ Paris 06, Sorbonne Univ, IPCM, CNRS UMR 8232, F-75005 Paris, France

[4] Beijing Univ Chinese Med, Sch Chinese Mat Med, Beijing 100029, Peoples R China

来源：

CHEMICO-BIOLOGICAL INTERACTIONS | 2014年 / 220卷

基金：

中国博士后科学基金; 中国国家自然科学基金;

关键词：

Lipidomics; Lipid profiling; Ultra-performance liquid chromatography; Mass spectrometry; Lipid biomarker; CHRONIC-RENAL-FAILURE; ALGA CHLAMYDOMONAS-NIVALIS; IONIZATION-QUADRUPOLE-TIME; ACYLCARNITINE PROFILES; QUANTITATIVE-ANALYSIS; URINARY METABONOMICS; EXPERIMENTAL-MODEL; MEMBRANE-LIPIDS; FATTY-ACIDS; SERUM;

D O I：

10.1016/j.cbi.2014.06.029

中图分类号：

Q5 [生物化学]; Q7 [分子生物学];

学科分类号：

071010 ; 081704 ;

摘要：

Lipidomics, the comprehensive illumination of lipid-based information in biology systems, involves in identifying lipids and profiling lipids and lipid-derived mediators. The development of lipidomics enables the characterization of lipid species and detailed lipid profiling in body fluid, tissue or cell, and allows for a wider understanding of the biological roles of lipid networks. Lipidomic research has been greatly facilitated by recent advances in ultra-performance liquid chromatography-mass spectrometry (UPLC-MS) and involved in lipid extraction, lipid identification and data analysis supporting applications from qualitative and quantitative assessment of multiple lipid species. UPLC technique, different mass spectrometry technique, lipid extraction and data analysis in lipidomics are reviewed. Afterwards, examples are provided on the use of UPLC-MS for finding lipid biomarkers in disease, drug, food, nutrition and plant fields. We also discuss the UPLC-MS-based lipidomics for the future perspectives and their potential problems. (C) 2014 Elsevier Ireland Ltd. All rights reserved.

引用

页码：181 / 192

页数：12

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