Summary
Introduction:
This text provides an in-depth examination of an ethanol pharmacokinetic (PBPK) model, including its symbols, equations, physiological parameters, model code, and validation. The model is used to estimate blood alcohol concentration (BaC) based on various ethanol exposure scenarios. The text also includes topography parameters for individual first-generation device users, allowing for the study of the effects of e-cigarette usage.
Key Points:
* The PBPK model consists of various compartments, including arterial blood, lungs, liver, fat, richly perfused tissues, poorly perfused tissues, and brain.
* The model uses physiological parameters, such as blood flow rates, tissue volumes, and partition coefficients, to estimate BaC.
* The model code is written in R language and utilizes the deSolve package for solving ordinary differential equations.
* The model was validated by comparing it to the results of Dumas -Campagna et al. (2014b) for continuous inhalation of 125 ppm and 750 ppm ethanol in men and women.
* Topography parameters for individual first-generation device users are included, enabling the study of e-cigarette usage effects.
* The study design includes four scenarios of continuous inhalation of ethanol, with two concentrations (125 ppm and 750 ppm) and two durations (four hours and one hour of decay).
* The major points of the study include the validation of the PBPK model, the examination of ethanol exposure scenarios, and the inclusion of topography parameters for individual first-generation device users.
Main Message:
The PBPK model for estimating BaC based on ethanol exposure scenarios is validated and presents an accurate and reliable tool for studying the effects of ethanol inhalation. The inclusion of topography parameters for individual first-generation device users provides valuable insights into the effects of e-cigarette usage. The study highlights the importance of utilizing PBPK models for regulatory purposes to ensure public safety when it comes to ethanol exposure. The comprehensive examination of the PBPK model and its application to ethanol exposure scenarios demonstrates the potential of PBPK modeling as a critical regulatory tool.
Citation
More SL, Thornton Sa, Maskrey JR, et al. PBPK modeling characterization of potential acute impairment effects from inhalation of ethanol during e-cigarette use. Inhalation toxicology. 2020;32(1):14-23. doi:10.1080/08958378.2020.1720867