Literature DB >> 28917442

ABCB1 C3435T polymorphism is associated with tetrahydrocannabinol blood levels in heavy cannabis users.

Oussama Kebir1, Genevieve Lafaye2, Lisa Blecha2, Boris Chaumette3, Fayçal Mouaffak4, Xavier Laqueille5, Amine Benyamina6.   

Abstract

ABCB1 polymorphisms are known to modify drug pharmacokinetics but have yet to be studied for their role in generating and maintaining cannabis dependence. The objective of this study is to determine if ABCB1 C3435T (rs1045642) polymorphism may modulate Δ9-Tetrahydrocannabinol (THC) blood levels in a sample of heavy cannabis users. The study sample includes 39 Caucasian individuals, recruited in two French addictology centres, with isolated cannabis dependence and heavy use (defined as ≥ 7 joints per week). Each underwent clinical evaluation, cannabis blood metabolite dosage (THC, 11-OH-THC, and THC-COOH) and genotyping of ABCB1 C3435T polymorphism. In this population (males: 74.4%, average age 29.5 +/- 9), average cannabis use was 21 joints per week (median 12; range 7 - 80). T carriers (TT/CT) had significantly lower plasma THC levels (ng/ml) versus non T carriers (8 vs 15.70, significant), controlling for level of weekly use, 11-OH-THC and THC-COOH levels. Our results show that ABCB1 C3435T polymorphism may modulate serum THC levels in chronic heavy cannabis users. The exact mechanisms and roles that this may play in cannabis dependence genesis and evolution remain to be elucidated. These results should be controlled in a replication study using a larger population.
Copyright © 2017 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  ABCB1; Cannabinoids; Cannabis use disorder; P-glycoprotein 1; Pharmacogenetics; Pharmacokinetics

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Year:  2017        PMID: 28917442     DOI: 10.1016/j.psychres.2017.09.006

Source DB:  PubMed          Journal:  Psychiatry Res        ISSN: 0165-1781            Impact factor:   3.222


  2 in total

1.  Cannabis use is associated with a small increase in the risk of postoperative nausea and vomiting: a retrospective machine-learning causal analysis.

Authors:  Wendy Suhre; Vikas O'Reilly-Shah; Wil Van Cleve
Journal:  BMC Anesthesiol       Date:  2020-05-18       Impact factor: 2.217

2.  Expression of endocannabinoid system components in human airway epithelial cells: impact of sex and chronic respiratory disease status.

Authors:  Matthew F Fantauzzi; Jennifer A Aguiar; Benjamin J-M Tremblay; Michael J Mansfield; Toyoshi Yanagihara; Abiram Chandiramohan; Spencer Revill; Min Hyung Ryu; Chris Carlsten; Kjetil Ask; Martin Stämpfli; Andrew C Doxey; Jeremy A Hirota
Journal:  ERJ Open Res       Date:  2020-12-14
  2 in total

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