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Analysis of Omega-3 Fatty Acid-Derived N-Acylethanolamines in Biological Matrices

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Endocannabinoid Signaling

Part of the book series: Methods in Molecular Biology ((MIMB,volume 2576))

Abstract

The adequate quantification of endocannabinoids and related N-acylethanolamines can be complex due to their low endogenous levels, structural diversity, and metabolism. Therefore, advanced analytical approaches, involving LC–MS, are required to quantify these molecules in plasma, tissues, and other matrices. It has been shown that endocannabinoid congeners synthesized from n-3 poly-unsaturated fatty acids (n-3 PUFAs), such as docosahexaenoylethanolamide (DHEA) and eicosapentaenoylethanolamide (EPEA), have interesting immunomodulatory and tumor-inhibiting properties. Recent work has shown that DHEA and EPEA can be further enzymatically metabolized by cyclo-oxygenase 2 (COX-2), forming oxygenated metabolites. Here, an LC–MS-based method for the quantification of the n-3 PUFA-derived endocannabinoid congeners DHEA and EPEA is described, which is also suited to measure a wider spectrum of endocannabinoids. The chapter contains a step-by-step protocol for the analysis of (n-3) endocannabinoids in plasma, including sample collection and solid phase extraction, LC–MS analysis, and data processing. In addition, protocol modifications are provided to allow quantification of n-3 PUFA-derived endocannabinoids and their COX-2 metabolites in tissues and cell culture media. Finally, conditions that alter endocannabinoid concentrations are briefly discussed.

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Correspondence to Michiel G. J. Balvers .

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Witkamp, R.F., de Bus, I., Albada, B., Balvers, M.G.J. (2023). Analysis of Omega-3 Fatty Acid-Derived N-Acylethanolamines in Biological Matrices. In: Maccarrone, M. (eds) Endocannabinoid Signaling. Methods in Molecular Biology, vol 2576. Humana, New York, NY. https://doi.org/10.1007/978-1-0716-2728-0_5

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  • DOI: https://doi.org/10.1007/978-1-0716-2728-0_5

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  • Publisher Name: Humana, New York, NY

  • Print ISBN: 978-1-0716-2727-3

  • Online ISBN: 978-1-0716-2728-0

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