Widely-targeted quantitative lipidomics method by supercritical fluid chromatography triple quadrupole mass spectrometry

Hiroaki Takeda, Yoshihiro Izumi, Masatomo Takahashi, Thanai Paxton, Shohei Tamura, Tomonari Koike, Ying Yu, Noriko Kato, Katsutoshi Nagase, Masashi Shiomi, Takeshi Bamba

Research output: Contribution to journalArticle

21 Citations (Scopus)

Abstract

Lipidomics, the mass spectrometry-based comprehensive analysis of lipids, has attracted attention as an analytical approach to provide novel insight into lipid metabolism and to search for biomarkers. However, an ideal method for both comprehensive and quantitative analysis of lipids has not been fully developed. Here, we have proposed a practical methodology for widely targeted quantitative lipidome analysis using supercritical fluid chromatography fast-scanning triple-quadrupole mass spectrometry (SFC/ QqQMS) and theoretically calculated a comprehensive lipid multiple reaction monitoring (MRM) library. Lipid classes can be separated by SFC with a normal-phase diethylaminebonded silica column with high resolution, high throughput, and good repeatability. Structural isomers of phospholipids can be monitored by mass spectrometric separation with fatty acyl-based MRM transitions. SFC/QqQMS analysis with an internal standard-dilution method offers quantitative information for both lipid class and individual lipid molecular species in the same lipid class. Additionally, data acquired using this method has advantages, including reduction of misidentification and acceleration of data analysis. Using the SFC/QqQMS system, alteration of plasma lipid levels in myocardial infarction-prone rabbits to the supplementation of EPA was first observed. Our developed SFC/QqQMS method represents a potentially useful tool for in-depth studies focused on complex lipid metabolism and biomarker discovery.

Original languageEnglish
Pages (from-to)1283-1293
Number of pages11
JournalJournal of Lipid Research
Volume59
Issue number7
DOIs
Publication statusPublished - 2018

All Science Journal Classification (ASJC) codes

  • Biochemistry
  • Endocrinology
  • Cell Biology

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