ArticleEuropean journal of drug metabolism and pharmacokinetics2020
Development of a Physiologically-Based Pharmacokinetic Model of Δ
Article in European journal of drug metabolism and pharmacokinetics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
5 citing papers in PubMed, 10 citations in OpenAlex.
- Prenatal Cannabis and Tobacco: Studies in Animal Models.Advances in experimental medicine and biology · 2026Review
- Using the LeiCNS-PK3.0 Physiologically-Based Pharmacokinetic Model to Predict Brain Extracellular Fluid Pharmacokinetics in Mice.Pharmaceutical research · 2023Article
- Physiologically based pharmacokinetic modeling and simulation of cannabinoids in human plasma and tissues.Journal of applied toxicology : JAT · 2023Article
- Anti-neuroinflammatory Effects and Brain Pharmacokinetic Properties of Selonsertib, an Apoptosis signal-regulating Kinase 1 Inhibitor, in mice.Neurochemical research · 2022Article
- A ΔEuropean journal of drug metabolism and pharmacokinetics · 2020Article
Corrections and comments
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Authors and funding
5 authors at 1 institution in 1 country.
Funding
Abstract
BACKGROUND AND
objectiveThere has been an increase in the use of cannabis. Delta-9-tetrahydrocannabinol, (THC) is the major psychoactive compound, which has both therapeutic and narcotic effects. THC pharmacokinetics are important for designing optimal dosing regimens, and physiologically-based pharmacokinetic (PBPK) models are used to predict a compound's actions in target organs. Extrapolation of the model from animals to humans can be applied for predicting THC exposure in humans. Here, we aimed to develop a PBPK model of THC in mice, rats, and pigs.
methodsA PBPK model of THC in mice, rats, and pigs was developed based on seven compartments, i.e., lungs, brain, fat, kidneys, liver, and rapidly perfused and slowly perfused tissues. A flow-limited model was employed to explain THC distribution across tissues. Physiological parameters (i.e., organ blood flows and organ volumes, and biochemical as well as physicochemical parameters, were acquired from the literature. Qualification of the model was assessed based on agreement between simulated and observed THC concentrations.
resultsThe developed PBPK model consisted of the seven compartments with P-glycoprotein involvement in the brain satisfactorily explained the observed data acquired from three studies. Although some under- and over-predictions exist, the model adequately captured the behavior of the observed data from all three species, with the coefficient of determination (R
conclusionsA PBPK model of THC in mice, rats, and pigs was successfully developed and validated. This model can be further applied for inter-species extrapolation to humans.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.