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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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Model Approaches for Pharmacokinetic Data: Physiological Models01:15

Model Approaches for Pharmacokinetic Data: Physiological Models

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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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Physiological Pharmacokinetic Models: Blood Flow-Limited Versus Diffusion-Limited Models00:57

Physiological Pharmacokinetic Models: Blood Flow-Limited Versus Diffusion-Limited Models

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Physiological pharmacokinetic models, often called flow-limited or perfusion models, typically assume a swift drug distribution between tissue and venous blood, creating a rapid drug equilibrium. This premise is based on the idea that drug diffusion is extremely fast, and the cell membrane presents no barrier to drug permeation. In this scenario, where no drug binding occurs, the drug concentration in the tissue equals that of the venous blood leaving the tissue. This greatly simplifies the...
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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...
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Physiological Pharmacokinetic Models: Incorporating Hepatic Transporter-Mediated Clearance01:07

Physiological Pharmacokinetic Models: Incorporating Hepatic Transporter-Mediated Clearance

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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.
A recent model describes pravastatin's hepatobiliary excretion,...
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Re-writing Oral Pharmacokinetics Using Physiologically Based Finite Time Pharmacokinetic (PBFTPK) Models.

Pavlos Chryssafidis1,2, Athanasios A Tsekouras3,4, Panos Macheras5,6

  • 1PharmaInformatics Unit, Research Center ATHENA, Athens, Greece.

Pharmaceutical Research
|April 5, 2022
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Summary

Physiologically Based Finite Time Pharmacokinetic (PBFTPK) models were developed to analyze oral drug absorption. These models successfully analyzed real-world pharmacokinetic data, demonstrating finite absorption time is key.

Keywords:
almotriptancyclosporinefinite absorption timeibuprofennirapariboral drug absorptionoral pharmacokineticsparacetamolphysiologically based finite time pharmacokinetic models

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Area of Science:

  • Pharmacokinetics
  • Drug Metabolism and Disposition
  • Mathematical Modeling

Background:

  • Pharmacokinetic (PK) analysis is crucial for understanding drug behavior in the body.
  • Traditional models often assume infinite absorption, which may not reflect real physiological processes.
  • Developing physiologically realistic models enhances the accuracy of drug disposition analysis.

Purpose of the Study:

  • To develop physiologically based finite time pharmacokinetic (PBFTPK) models.
  • To analyze oral pharmacokinetic data using these novel models.
  • To incorporate the principle of finite absorption time into pharmacokinetic modeling.

Main Methods:

  • Models based on passive drug diffusion and sink conditions.
  • Inclusion of up to three successive drug input functions over a finite time τ.
  • Solution of differential equations for linear one- or two-compartment models.
  • Generation of simulated data and fitting to literature pharmacokinetic data.

Main Results:

  • Simulated data closely resembled experimental observations.
  • Absorption end time (τ) was found to be at or after Tmax.
  • PBFTPK models were successfully applied to diverse oral pharmacokinetic data sets (paracetamol, ibuprofen, almotriptan, cyclosporine, niraparib).

Conclusions:

  • PBFTPK models provide a powerful framework for analyzing oral drug data.
  • The models are grounded in the physiologically relevant concept of finite absorption time.
  • This approach offers a more accurate representation of drug absorption processes.