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Related Concept Videos

Pharmacokinetic Models: Overview01:20

Pharmacokinetic Models: Overview

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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.
There are three primary types of models: empirical, compartment, and physiological. Empirical models, with minimal...
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Pharmacokinetic Models: Comparison and Selection Criterion01:26

Pharmacokinetic Models: Comparison and Selection Criterion

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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–Pharmacodynamic Relationship: Model Components01:14

Pharmacokinetic–Pharmacodynamic Relationship: Model Components

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

Model Approaches for Pharmacokinetic Data: Distributed Parameter Models

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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.
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...
309
Pharmacokinetic–Pharmacodynamic Relationship: Problems01:24

Pharmacokinetic–Pharmacodynamic Relationship: Problems

67
The empirical approach to drug therapy optimization relies on correlating pharmacological response with administered dosage. Such an approach can be costly, time-consuming, and often yields poor correlation due to variables like formulation factors and drug elimination characteristics. A more precise approach correlates response with plasma drug concentration or the amount of drug in the body, rather than dosage. This is achieved through pharmacokinetic-pharmacodynamic (PK/PD) modeling, which...
67
Model Approaches for Pharmacokinetic Data: Compartment Models01:14

Model Approaches for Pharmacokinetic Data: Compartment Models

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Compartmental analysis is a widely adopted approach to characterizing drug pharmacokinetics. It uses compartment models that conceptualize the body as a collection of reversibly communicating compartments, each representing a group of tissues exhibiting similar drug distribution characteristics. The movement rate of the drug between these compartments is typically described by first-order kinetics.
Two primary types of compartment models are recognized: mammillary and catenary. The more...
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Modeling Pharmacokinetics.

Frederic Y Bois1, Céline Brochot2

  • 1INERIS, DRC/VIVA/METO, Parc ALATA, BP 2, 60550, Verneuil en Halatte, France. frederic.bois@ineris.fr.

Methods in Molecular Biology (Clifton, N.J.)
|June 18, 2016
PubMed
Summary
This summary is machine-generated.

Physiologically based pharmacokinetic (PBPK) models simulate how the body processes foreign substances. This guide details PBPK model development and use for drug absorption, distribution, metabolism, and excretion studies.

Keywords:
1,3-ButadieneMonte Carlo simulationsNumerical integrationPBPKR software

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Area of Science:

  • Pharmacology and Toxicology
  • Computational Biology

Background:

  • Pharmacokinetics (PK) describes the absorption, distribution, metabolism, and excretion (ADME) of xenobiotics.
  • Physiologically based pharmacokinetic (PBPK) models offer a mechanistic approach to understanding xenobiotic fate.
  • PBPK models represent the body as interconnected compartments based on physiological parameters.

Purpose of the Study:

  • To provide a practical guide for developing and utilizing PBPK models.
  • To demonstrate the application of PBPK models in simulating xenobiotic concentrations over time.
  • To facilitate the use of PBPK modeling through accessible free software.

Main Methods:

  • Developing PBPK models by defining anatomical and physiological parameters.
  • Implementing PBPK models using free, accessible software.
  • Simulating the time-course of xenobiotic concentrations in various body compartments.

Main Results:

  • PBPK models provide a quantitative framework for understanding xenobiotic pharmacokinetics.
  • These models enable extrapolation across species and doses, crucial for toxicology and pharmacology.
  • Integration of diverse data sources (in vitro, in vivo, structure-activity) is facilitated by PBPK models.

Conclusions:

  • PBPK modeling is a powerful tool for mechanistic pharmacokinetic analysis.
  • The practical development and simulation of PBPK models can be achieved with accessible software.
  • PBPK models enhance the understanding and prediction of xenobiotic behavior in biological systems.