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Related Concept Videos

Pharmacokinetic Models: Comparison and Selection Criterion01:26

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Physiological and compartmental models are valuable tools used in studying biological systems. These models rely on differential equations to maintain mass balance within the system, ensuring an accurate representation of the dynamic processes at play.
Physiological models take a detailed approach by considering specific molecular processes. They can predict drug distribution, metabolism, and elimination changes, providing a comprehensive understanding of how drugs interact with the body.
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Pharmacokinetic Models: Overview01:20

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Pharmacokinetic models utilize mathematical analysis to achieve a detailed quantitative understanding of a drug's life cycle within the body. They are instrumental in simulating a drug's pharmacokinetic parameters, predicting drug concentrations over time, optimizing dosage regimens, linking concentrations with pharmacologic activity, and estimating potential toxicity.
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Physiological models with protein binding in pharmacokinetics offer a sophisticated approach to understanding drug disposition. These models consider drug-protein interactions, enabling them to effectively predict drug concentrations in different organs and tissues. This precision aids in accurate drug dosing, providing a significant advantage over conventional models. A key process within these models is equilibration, which ensures that drug concentrations achieve a steady state within the...
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Model Approaches for Pharmacokinetic Data: Physiological Models01:15

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Physiological models in pharmacokinetics are instrumental in understanding the distribution and elimination of drugs within the body. These models describe the drug concentration within target organs, influenced by factors such as drug uptake, tissue volume, and blood flow. Drug uptake is governed by the partition coefficient, which signifies the drug concentration ratio in tissue to that in the blood. The blood flow rate to a specific tissue is expressed as Qt, and the rate of change in tissue...
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Model Approaches for Pharmacokinetic Data: Distributed Parameter Models01:06

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Pharmacokinetic models are mathematical constructs that represent and predict the time course of drug concentrations in the body, providing meaningful pharmacokinetic parameters. These models are categorized into compartment, physiological, and distributed parameter models.
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Physiological Pharmacokinetic Models: Incorporating Hepatic Transporter-Mediated Clearance01:07

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Drug transporters are critical in drug absorption, distribution, and excretion processes. They should be included in physiological-based pharmacokinetic (PBPK) models, which help predict human drug disposition. However, predicting this is challenging during drug development, especially when liver transport is involved. However, with a realistic representation of body transport processes, an accurate model may be possible.
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Updated: Oct 3, 2025

An Intestine/Liver Microphysiological System for Drug Pharmacokinetic and Toxicological Assessment
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Predicting nonlinear relationships between external and internal concentrations with physiologically based

Daniel Hoer1, Hugh A Barton2, Alicia Paini3

  • 1U.S. Environmental Protection Agency, Office of Pesticide Programs, Durham, NC, USA.

Toxicology and Applied Pharmacology
|February 17, 2022
PubMed
Summary

Physiologically-based pharmacokinetic (PBPK) models reveal how chemical absorption, distribution, metabolism, and excretion (ADME) impact internal exposure levels. Understanding these relationships is crucial for accurate chemical safety assessments and study design.

Keywords:
Animal Study DesignInternal ConcentrationsNonlinear PharmacokineticsPhysiologically Based Pharmacokinetic (PBPK)Saturation of AbsorptionSaturation of Clearance

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Area of Science:

  • Pharmacokinetics and Toxicological Risk Assessment
  • Environmental Health Sciences
  • Computational Toxicology

Background:

  • External chemical concentrations are commonly used for exposure assessment, but internal concentrations better predict toxicological responses.
  • Absorption, Distribution, Metabolism, and Excretion (ADME) processes link external to internal concentrations, often exhibiting saturation at high doses.
  • Saturation can lead to nonlinear internal dose-response relationships, complicating risk assessment.

Purpose of the Study:

  • To explore how saturable ADME processes influence the internal to external concentration (IEC) relationship using physiologically-based pharmacokinetic (PBPK) models.
  • To investigate the impact of kinetic parameters, exposure routes, frequency, and duration on IEC relationships for various chemicals and species.
  • To demonstrate PBPK modeling as an alternative to traditional statistical methods for analyzing dose proportionality in chemical safety assessments.

Main Methods:

  • Development and application of generic PBPK models to simulate hypothetical chemical exposures.
  • Utilized PBPK models for styrene and caffeine to examine effects of exposure scenarios in rats and humans.
  • Analyzed 2,4-dichlorophenoxyacetic acid plasma concentration data using a PBPK modeling approach.

Main Results:

  • Differences in kinetic parameters significantly alter the shape of the IEC relationship.
  • Exposure route, frequency, and duration demonstrably impact IEC relationships for styrene and caffeine.
  • PBPK modeling effectively analyzed dose proportionality for 2,4-dichlorophenoxyacetic acid, offering an alternative to statistical methods.

Conclusions:

  • PBPK models are valuable tools for understanding the complex relationship between external and internal chemical exposures.
  • This approach can reveal nonlinear dose-response behaviors arising from saturable ADME processes.
  • PBPK modeling aids in optimizing toxicity study designs and interpreting results for robust chemical safety assessments.