Literature DB >> 33770654

Influences of puff protocols and upper airway anatomy on cannabis pharmacokinetics: A CFPD-PK study.

Jianan Zhao1, Yu Feng2, Geng Tian3, Cassandra Taylor4, N Sarah Arden4.   

Abstract

Predicting the optimal administration doses of the inhaled Δ9-tetrahydrocannabinol (THC), i.e., one of the major natural compounds in cannabis, is critical for maximizing the therapeutic outcomes and minimizing the toxic side effects. Thus, it is essential to developing an aerosol dosimetry model to simulate the transport, deposition, and translocation of inhaled THC aerosols from the human respiratory system to the systemic region. In this study, a computational fluid-particle dynamics (CFPD) plus pharmacokinetics (PK) model was developed and validated to quantify the localized vapor and particle uptake rates of THC and the resultant THC-plasma concentrations using two human upper airway geometries. In addition, two different puff protocols (4.0/10.0 s and 1.6/11.4 s as the inhalation/holding time ratios) were employed, associated with two different inhaled THC doses (2.0 mg and 8.82 mg, respectively). The computational results demonstrated that multiple parameters had noticeable influences on THC particle deposition and vapor absorption in the upper airways, as well as the resultant pharmacokinetic behaviors. These factors include anatomical features of the upper airway, puff flow rate, duration, and holding time. The results indicated that puff protocol with 4.0/10.0 s inhalation/holding time ratio would be recommended if the treatment needs THC delivery to the deeper lung. Furthermore, the inhaled THC dose had a dominant effect on the THC-plasma PK profiles, which could override the influences of anatomical variability and puff protocols. The developed CFPD-PK modeling framework has the potential to provide localized lung absorption data and PK profiles for in vitro-in vivo correlation, as well as supporting the development and assessment of drug products containing cannabis or cannabis-derived compounds.
Copyright © 2021 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Cannabis; Computational fluid particle dynamics (CFPD); Pharmacokinetics (PK); Smoking; Vaping; Δ9-tetrahydrocannabinol (THC)

Year:  2021        PMID: 33770654     DOI: 10.1016/j.compbiomed.2021.104333

Source DB:  PubMed          Journal:  Comput Biol Med        ISSN: 0010-4825            Impact factor:   4.589


  1 in total

1.  Secondary indoor air pollution and passive smoking associated with cannabis smoking using electric cigarette device-demonstrative in silico study.

Authors:  Kazuki Kuga; Kazuhide Ito; Wenhao Chen; Ping Wang; Jeff Fowles; Kazukiyo Kumagai
Journal:  PLoS Comput Biol       Date:  2021-05-13       Impact factor: 4.475

  1 in total

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