Literature DB >> 35370140

Characterizing and Quantifying Extrahepatic Metabolism of (-)-Δ9-Tetrahydrocannabinol (THC) and Its Psychoactive Metabolite, (±)-11-Hydroxy-Δ9-THC (11-OH-THC).

Aditya R Kumar1, Gabriela I Patilea-Vrana1, Olena Anoshchenko1, Jashvant D Unadkat2.   

Abstract

(-)-Δ9-Tetrahydrocannabinol (THC) is the psychoactive constituent of cannabis, a drug recreationally consumed orally or by inhalation. Physiologically based pharmacokinetic (PBPK) modeling can be used to predict systemic and tissue exposure to THC and its psychoactive metabolite, (±)-11-hydroxy-Δ9-THC (11-OH-THC). To populate a THC/11-OH-THC PBPK model, we previously characterized the depletion clearance of THC (by CYP2C9) and 11-OH-THC (by UDP-glucuronosyltransferase (UGT), CYP3A, and CYP2C9) in adult human liver microsomes. Here we focused on quantifying extrahepatic depletion clearance of THC/11-OH-THC, important after oral (intestine) and inhalational (lung) consumption of THC as well as prenatal THC use (placenta and fetal liver). THC (500 nM) was metabolized in adult human intestinal microsomes (n = 3-5) by CYP2C9 [Vmax: 1.1 ± 0.38 nmol/min/mg; Michaelis-Menten constant (Km): 70 nM; intrinsic clearance (CLint): 15 ± 5.4 ml/min/mg; fraction metabolized (fm): 0.89 ± 0.31 at concentration ≪ 70 nM] and CYP3A (CLint: 2.0 ± 0.86 ml/min/mg; fm: 0.11 ± 0.050). 11-OH-THC (50 nM) was metabolized by CYP3A (CLint: 0.26 ± 0.058 ml/min/mg; fm: 0.51 ± 0.11) and UGT2B7 (CLint: 0.13 ± 0.027 ml/min/mg; fm: 0.25 ± 0.053). THC at 500 nM (CLint: 4.7 ± 0.22 ml/min/mg) and 11-OH-THC at 50 nM (CLint: 2.4 ± 0.13 ml/min/mg) were predominately (fm: 0.99 and 0.80, respectively) metabolized by CYP3A in human fetal liver microsomes (n = 3). However, we did not observe significant depletion of THC/11-OH-THC in adult lung, first trimester, second trimester, or term placentae microsomes. Using PBPK modeling and simulation, these data could be used in the future to predict systemic and tissue THC/11-OH-THC exposure in healthy and special populations. SIGNIFICANCE STATEMENT: This is the first characterization and quantification of (-)-Δ9-tetrahydrocannabinol (THC) and (±)-11-hydroxy-Δ9-THC (11-OH-THC) depletion clearance by cytochrome P450 and UDP-glucuronosyltransferase enzymes in extrahepatic human tissues: intestine, fetal liver, lung, and placenta. These data can be used to predict, through physiologically based pharmacokinetic modeling and simulation, systemic and tissue THC/11-OH-THC exposure after inhalational and oral THC use in both healthy and special populations (e.g., pregnant women).
Copyright © 2022 by The American Society for Pharmacology and Experimental Therapeutics.

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Year:  2022        PMID: 35370140      PMCID: PMC9199115          DOI: 10.1124/dmd.122.000868

Source DB:  PubMed          Journal:  Drug Metab Dispos        ISSN: 0090-9556            Impact factor:   3.579


  41 in total

1.  School achievement in 14-year-old youths prenatally exposed to marijuana.

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3.  Quantifying Hepatic Enzyme Kinetics of (-)-∆9-Tetrahydrocannabinol (THC) and Its Psychoactive Metabolite, 11-OH-THC, through In Vitro Modeling.

Authors:  Gabriela I Patilea-Vrana; Jashvant D Unadkat
Journal:  Drug Metab Dispos       Date:  2019-05-02       Impact factor: 3.922

4.  Intestinal and hepatic metabolic activity of five cytochrome P450 enzymes: impact on prediction of first-pass metabolism.

Authors:  Aleksandra Galetin; J Brian Houston
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5.  Effects of prenatal marijuana exposure on child behavior problems at age 10.

Authors:  L Goldschmidt; N L Day; G A Richardson
Journal:  Neurotoxicol Teratol       Date:  2000 May-Jun       Impact factor: 3.763

Review 6.  Chemical inhibitors of cytochrome P450 isoforms in human liver microsomes: a re-evaluation of P450 isoform selectivity.

Authors:  Siamak Cyrus Khojasteh; Saileta Prabhu; Jane R Kenny; Jason S Halladay; Anthony Y H Lu
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Review 7.  Pharmacokinetics and pharmacodynamics of cannabinoids.

Authors:  Franjo Grotenhermen
Journal:  Clin Pharmacokinet       Date:  2003       Impact factor: 6.447

Review 8.  The pharmacokinetics and the pharmacodynamics of cannabinoids.

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Journal:  Br J Clin Pharmacol       Date:  2018-08-07       Impact factor: 4.335

Review 9.  Drug metabolism in the lungs: opportunities for optimising inhaled medicines.

Authors:  Zachary Enlo-Scott; Erica Bäckström; Ian Mudway; Ben Forbes
Journal:  Expert Opin Drug Metab Toxicol       Date:  2021-04-21       Impact factor: 4.481

10.  Tetrahydrocannabinol and Its Major Metabolites Are Not (or Are Poor) Substrates or Inhibitors of Human P-Glycoprotein [ATP-Binding Cassette (ABC) B1] and Breast Cancer Resistance Protein (ABCG2).

Authors:  Xin Chen; Jashvant D Unadkat; Qingcheng Mao
Journal:  Drug Metab Dispos       Date:  2021-07-29       Impact factor: 3.579

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  1 in total

Review 1.  Predicting Human Fetal Drug Exposure Through Maternal-Fetal PBPK Modeling and In Vitro or Ex Vivo Studies.

Authors:  Ankit Balhara; Aditya R Kumar; Jashvant D Unadkat
Journal:  J Clin Pharmacol       Date:  2022-09       Impact factor: 2.860

  1 in total

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