Skip to main content
ARS Home » Pacific West Area » Davis, California » Western Human Nutrition Research Center » Obesity and Metabolism Research » Research » Publications at this Location » Publication #362113

Title: MS-based targeted metabolomics of eicosanoids and other oxylipins: analytical and inter-individual variabilities

Author
item GLADINE, CECILE - Clermont Universite, Universite D'Auvergne, Unite De Nutrition Humaine
item OSTERMANN, ANNIKA - University Of Wuppertal
item Newman, John
item SCHEBB, NILS - University Of Wuppertal

Submitted to: Journal of Free Radical Biology and Medicine
Publication Type: Peer Reviewed Journal
Publication Acceptance Date: 5/10/2019
Publication Date: 5/11/2019
Citation: Gladine, C., Ostermann, A.I., Newman, J.W., Schebb, N.H. 2019. MS-based targeted metabolomics of eicosanoids and other oxylipins: analytical and inter-individual variabilities. Journal of Free Radical Biology and Medicine. 144:72-89. https://doi.org/10.1016/j.freeradbiomed.2019.05.012.
DOI: https://doi.org/10.1016/j.freeradbiomed.2019.05.012

Interpretive Summary:

Technical Abstract: Oxylipins, including the well-known eicosanoids, are potent lipid mediators involved in numerous physiological and pathological processes. Therefore, their quantitative profiling has gained a lot of attention during the last years notably in the active field of health biomarker discovery. Oxylipins include hundreds of structurally and strereochemically distinct lipid species which today are most commonly analyzed by (ultra) high performance liquid chromatography-mass spectrometry based ((U)HPLC-MS) methods. To maximize the utility of oxylipin profiling in clinical research, it is crucial to better understand and assess the factors contributing to the analytical and biological variability of oxylipin profiles in humans. In this review, these factors and their impacts are summarized and discussed, providing a framework for recommendations expected to enhance the interlaboratory comparability and biological interpretation of oxylipins profiling in clinical research.