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

• Published in: Chemico-biological interactions Vol. 220; pp. 181 - 192
• Main Authors: Zhao, Ying-Yong, Wu, Shao-Ping, Liu, Shuman, Zhang, Yongmin, Lin, Rui-Chao
• Format: Journal Article
• Language: English
• Published: Ireland Elsevier Ireland Ltd 05.09.2014; Elsevier [1969-....]
• Subjects: Biomarkers - chemistry; Chemical Sciences; Chromatography, Liquid; Computational Biology - instrumentation; Computational Biology - methods; Limit of Detection; Lipid biomarker; Lipid profiling; Lipidomics; Lipids - analysis; Lipids - chemistry; Mass Spectrometry; Plants - chemistry; Ultra-performance liquid chromatography; Lipidomics; Lipid profiling; Mass spectrometry; Lipid biomarker; Ultra-performance liquid chromatography
• ISSN: 0009-2797; 1872-7786
• DOI: 10.1016/j.cbi.2014.06.029

[Display omitted] •Lipidomics has been applied to disease, drug, food and nutrition.•Lipidomics has provided insight on the lipids mechanism for health and disease.•UPLC–MS is regarded as one of the more suitable techniques in lipidomics.•UPLC–MS application was illuminated to assess lipids in disease, drug and food. 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.