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Online photochemical derivatization enables comprehensive mass spectrometric analysis of unsaturated phospholipid isomers
Online photochemical derivatization enables comprehensive mass spectrometric analysis of unsaturated phospholipid isomers
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Online photochemical derivatization enables comprehensive mass spectrometric analysis of unsaturated phospholipid isomers
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Online photochemical derivatization enables comprehensive mass spectrometric analysis of unsaturated phospholipid isomers
Online photochemical derivatization enables comprehensive mass spectrometric analysis of unsaturated phospholipid isomers

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Online photochemical derivatization enables comprehensive mass spectrometric analysis of unsaturated phospholipid isomers
Online photochemical derivatization enables comprehensive mass spectrometric analysis of unsaturated phospholipid isomers
Journal Article

Online photochemical derivatization enables comprehensive mass spectrometric analysis of unsaturated phospholipid isomers

2019
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Overview
Mass spectrometry-based lipidomics is the primary tool for the structural analysis of lipids but the effective localization of carbon–carbon double bonds (C=C) in unsaturated lipids to distinguish C=C location isomers remains challenging. Here, we develop a large-scale lipid analysis platform by coupling online C=C derivatization through the Paternò-Büchi reaction with liquid chromatography-tandem mass spectrometry. This provides rich information on lipid C=C location isomers, revealing C=C locations for more than 200 unsaturated glycerophospholipids in bovine liver among which we identify 55 groups of C=C location isomers. By analyzing tissue samples of patients with breast cancer and type 2 diabetes plasma samples, we find that the ratios of C=C isomers are much less affected by interpersonal variations than their individual abundances, suggesting that isomer ratios may be used for the discovery of lipid biomarkers. Mass spectrometry is widely used for large-scale lipid profiling but distinguishing unsaturated lipid isomers is still challenging. Here, the authors present an analytical platform for high-throughput identification of lipid C=C location isomers in clinical samples, showing that isomer ratios may guide biomarker discovery.