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Related Concept Videos

Pharmacokinetic Models: Comparison and Selection Criterion01:26

Pharmacokinetic Models: Comparison and Selection Criterion

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.
Pharmacokinetic Models: Overview01:20

Pharmacokinetic Models: Overview

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.
There are three primary types of models: empirical, compartment, and physiological. Empirical models, with minimal assumptions,...
Model Approaches for Pharmacokinetic Data: Physiological Models01:15

Model Approaches for Pharmacokinetic Data: Physiological Models

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...
Model Approaches for Pharmacokinetic Data: Distributed Parameter Models01:06

Model Approaches for Pharmacokinetic Data: Distributed Parameter Models

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.
The distributed parameter models are specifically designed to account for variations and differences in some drug classes. This model is particularly useful for assessing regional concentrations of anticancer or...
Pharmacokinetic–Pharmacodynamic Relationship: Model Components01:14

Pharmacokinetic–Pharmacodynamic Relationship: Model Components

Pharmacokinetic-pharmacodynamic (PK–PD) modeling is essential in drug development and clinical pharmacology. It provides a quantitative framework to predict drug behavior and response over time. This approach integrates pharmacokinetics (PK), which describes the drug's absorption, distribution, metabolism, and excretion, with pharmacodynamics (PD), which characterizes the drug’s biological effects and mechanisms of action.The disposition kinetics of a drug determine its plasma...
Pharmacodynamic Models: Overview01:27

Pharmacodynamic Models: Overview

Pharmacodynamic (PD) responses describe the interaction between a drug and its biological target, culminating in a physiological effect. These responses can be classified into different types: continuous variables, such as blood glucose levels; categorical outcomes, like survival rates; and time-to-event metrics, such as disease progression. Understanding and modeling PD responses are critical for optimizing drug efficacy and safety.PD models describe the relationship between drug concentration...

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An Intestine/Liver Microphysiological System for Drug Pharmacokinetic and Toxicological Assessment
08:59

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Published on: December 3, 2020

Physiologically based pharmacokinetic/toxicokinetic modeling.

Jerry L Campbell1, Rebecca A Clewell, P Robinan Gentry

  • 1The Hamner Institutes for Health Sciences, Research Triangle Park, NC, USA. jcampbell@thehamner.org

Methods in Molecular Biology (Clifton, N.J.)
|September 26, 2012
PubMed
Summary

Physiologically based pharmacokinetic (PBPK) models use organism physiology for toxicological risk assessment. This approach links chemical effects to target tissue exposure, improving safety evaluations using styrene as an example.

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Area of Science:

  • Pharmacokinetics and Toxicology
  • Computational Biology
  • Risk Assessment

Background:

  • Conventional pharmacokinetic models do not fully capture organism physiology.
  • Linking toxic effects to target tissue concentration is crucial for risk assessment.
  • Physiologically based pharmacokinetic (PBPK) models offer a more physiologically relevant approach.

Purpose of the Study:

  • To explain Physiologically Based Pharmacokinetic (PBPK) modeling.
  • To demonstrate the utility of PBPK models in chemical safety assessment.
  • To outline the procedures for developing and implementing PBPK models using styrene as an example.

Main Methods:

  • Development of a PBPK model incorporating physiological parameters.
  • Utilizing the PBPK model to simulate chemical concentration-time courses in tissues.
  • Applying the PBPK model for chemical safety and risk assessment.

Main Results:

  • PBPK models provide a direct link between administered dose and target tissue exposure.
  • The styrene PBPK model exemplifies the practical application of PBPK in safety assessment.
  • PBPK modeling enhances the understanding of chemical disposition and toxicodynamics.

Conclusions:

  • PBPK models are valuable tools for toxicology and risk assessment.
  • Relating toxic effects to target tissue exposure improves the accuracy of safety evaluations.
  • The presented methodology facilitates the development and implementation of PBPK models for various chemicals.