| Chapter title |
Analysis of Omega-3 Fatty Acid Derived N-Acylethanolamines in Biological Matrices
|
|---|---|
| Chapter number | 4 |
| Book title |
Endocannabinoid Signaling
|
| Published in |
Methods in molecular biology, January 2016
|
| DOI | 10.1007/978-1-4939-3539-0_4 |
| Pubmed ID | |
| Book ISBNs |
978-1-4939-3537-6, 978-1-4939-3539-0
|
| Authors |
Renger F. Witkamp, Michiel G. J. Balvers |
| Editors |
Mauro Maccarrone |
| Abstract |
The adequate quantification of endocannabinoids can be complex due to their low endogenous levels and structural diversity. Therefore, advanced analytical approaches, such as LC-MS, are used to measure endocannabinoids in plasma, tissues, and other matrices. Recent work has shown that endocannabinoids that are synthesized from n-3 fatty acids, such as docosahexaenoylethanolamide (DHEA) and eicosapentaenoylethanolamide (EPEA), have anti-inflammatory and anti-tumorigenic properties and stimulate synapse formation in neurites. Here, an LC-MS based method for the quantification of n-3 endocannabinoids DHEA and EPEA which is also suited to measure a wider spectrum of endocannabinoids is described. 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. Modifications to the protocol that allow quantifying n-3 endocannabinoids in tissues and cell culture media will also be discussed. Finally, conditions that alter endocannabinoid concentrations are briefly discussed. |
Mendeley readers
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 11 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Other | 3 | 27% |
| Researcher | 3 | 27% |
| Professor | 1 | 9% |
| Student > Bachelor | 1 | 9% |
| Unknown | 3 | 27% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 3 | 27% |
| Medicine and Dentistry | 2 | 18% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 9% |
| Agricultural and Biological Sciences | 1 | 9% |
| Neuroscience | 1 | 9% |
| Other | 0 | 0% |
| Unknown | 3 | 27% |