eCite Digital Repository

Chloroform-based liquid-liquid extraction and LC–MS/MS quantification of endocannabinoids, cortisol and progesterone in human hair

Citation

Ney, LJ and Felmingham, KL and Bruno, R and Matthews, A and Nichols, DS, Chloroform-based liquid-liquid extraction and LC-MS/MS quantification of endocannabinoids, cortisol and progesterone in human hair, Journal of Pharmaceutical and Biomedical Analysis, 201 Article 114103. ISSN 0731-7085 (2021) [Refereed Article]

Copyright Statement

© 2021 Elsevier B.V. All rights reserved.

DOI: doi:10.1016/j.jpba.2021.114103

Abstract

Understanding the role of endogenous cannabinoids (endocannabinoids) in disease is of increasing importance. However, tools to investigate endocannabinoid levels in humans are limited. In the current study, we report a simplified sample preparation method for quantifying endocannabinoids and steroid hormones in hair using liquid-liquid extraction combined with ultra performance liquid chromatography coupled to tandem mass spectrometry. The fully validated method is at least R2 = 0.99 linear between 5 and 1,000 pg/mg for each analyte and the detection limits are at or below 0.50 pg/mg for cortisol, progesterone, oleoylethanolamide, and arachidonoyl ethanolamide, and 2.65 pg/mg for 2-arachidonoyl glycerol. Sequential extraction of hair samples revealed that multiple extractions may be required for quantitative recovery of steroids. However endogenous cannabinoids were efficiently recovered using a single sample extraction. The method was applied to a psychosocial stress study where participants provided samples of both hair and saliva. Endogenous hair arachidonoyl ethanolamide levels were negatively associated with resting, but not stressed, salivary cortisol levels in healthy participants. This simplified method enables the detailed study of hormonal and endocannabinoids in human hair with high sensitivity.

Item Details

Item Type:Refereed Article
Keywords:endocannabinoids, hair, mass spectrometry, liquid chromatography
Research Division:Biological Sciences
Research Group:Biochemistry and cell biology
Research Field:Analytical biochemistry
Objective Division:Health
Objective Group:Clinical health
Objective Field:Diagnosis of human diseases and conditions
UTAS Author:Ney, LJ (Mr Luke Ney)
UTAS Author:Bruno, R (Associate Professor Raimondo Bruno)
UTAS Author:Matthews, A (Dr Allison Matthews)
UTAS Author:Nichols, DS (Dr David Nichols)
ID Code:144206
Year Published:2021
Web of Science® Times Cited:2
Deposited By:Psychology
Deposited On:2021-04-28
Last Modified:2021-06-02
Downloads:0

Repository Staff Only: item control page