Publication

Predicting nonlinear relationships between external and internal concentrations with physiologically based pharmacokinetic modeling

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Last modified
  • 06/25/2025
Type of Material
Authors
    Daniel Hoer, U.S. Environmental Protection AgencyHugh A. Barton, MysticAlicia Paini, European Commission, Joint Research CentreMichael Bartels, ToxMetricsBrandall Ingle, U.S. Environmental Protection AgencyJeanne Domoradzki, Corteva AgriscienceJeffrey Fisher, ScitoVationMichelle Embry, Health and Environmental Sciences InstitutePhilip Villanueva, U.S. Environmental Protection AgencyDavid Miller, U.S. Environmental Protection AgencyJames Nguyen, U.S. Environmental Protection AgencyQiang Zhang, Emory UniversityStephen W. Edwards, RTI InternationalYu-Mei Tan, U.S. Environmental Protection Agency
Language
  • English
Date
  • 2022-02-15
Publisher
  • Elsevier
Publication Version
Copyright Statement
  • Published by Elsevier Inc.
License
Final Published Version (URL)
Title of Journal or Parent Work
Volume
  • 440
Start Page
  • 115922
Grant/Funding Information
  • This work was supported in part by the Health and Environmental Sciences Institute PBPK Committee.
Supplemental Material (URL)
Abstract
  • Although external concentrations are more readily quantified and often used as the metric for regulating and mitigating exposures to environmental chemicals, the toxicological response to an environmental chemical is more directly related to its internal concentrations than the external concentration. The processes of absorption, distribution, metabolism, and excretion (ADME) determine the quantitative relationship between the external and internal concentrations. ADME processes are often susceptible to saturation at high concentration, which can lead to nonlinear changes in internal concentrations that deviate from proportionality. Using generic physiologically-based pharmacokinetic (PBPK) models, we explored how saturable absorption or clearance influence the shape of the internal to external concentration (IEC) relationship. We used the models for hypothetical chemicals to show how differences in kinetic parameters can impact the shape of an IEC relationship; and models for styrene and caffeine to explore how exposure route, frequency, and duration impact the IEC relationships in rat and human exposures. We also analyzed available plasma concentration data for 2,4-dichlorophenoxyacetic acid to demonstrate how a PBPK approach can be an alternative to common statistical methods for analyzing dose proportionality. A PBPK modeling approach is a useful tool that can be used in early stages of a chemical safety assessment program to optimize the design of longer-term animal toxicity studies or to interpret study results.
Author Notes
  • Correspondence: Yu-Mei Tan, U.S. Environmental Protection Agency, Office of Pesticide Programs, 109 T.W. Alexander Drive Research Triangle Park, NC 27711, tan.cecilia@epa.gov
Keywords
Research Categories
  • Health Sciences, Pharmacology

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