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Related Concept Videos

Analysis of Population Pharmacokinetic Data01:12

Analysis of Population Pharmacokinetic Data

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Analysis of population pharmacokinetic data involves studying the behavior of drugs within diverse populations to understand their pharmacokinetic parameters. Traditional pharmacokinetic methods typically involve collecting samples from a few individuals and estimating these parameters. While these methods are commonly used, they have limitations in capturing the variability in drug response among individuals or heterogeneous populations. Population pharmacokinetics is employed to address these...
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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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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: 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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Pharmacokinetic Models: Overview01:20

Pharmacokinetic Models: Overview

720
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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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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Related Experiment Video

Updated: Jul 11, 2025

Tracking Drug-induced Changes in Receptor Post-internalization Trafficking by Colocalizational Analysis
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Pharmacodynamic Age Structured Population Model For Cell Trafficking.

Wojciech Krzyzanski1, Robert Bauer2

  • 1Department of Pharmaceutical Sciences, University at Buffalo, 370 Pharmacy Building, Buffalo, NY 14214, USA.

Journal of Pharmaceutical Sciences
|November 5, 2023
PubMed
Summary
This summary is machine-generated.

This study developed an age-structured cell population model to quantify drug effects on immune cell trafficking. The model successfully explained the rebound in blood cell counts after corticosteroid administration, validating its use in pharmacometric analysis.

Keywords:
Corticosteroid(s)Immune response(s)Mathematical model(s)Pharmacokinetic/pharmacodynamic (PK/PD) modelingPopulation pharmacodynamics

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Area of Science:

  • Pharmacometrics
  • Immunology
  • Mathematical Modeling

Background:

  • Cell trafficking is crucial for immune system function, involving immune cell movement between blood and tissues.
  • Corticosteroids are known to suppress immune cell trafficking, impacting immune responses.
  • Age-structured models quantify immune cell transit times in blood and extravascular tissues.

Purpose of the Study:

  • To develop an age-structured cell population model for quantifying drug effects on cell trafficking.
  • To implement this model in pharmacometric software for parameter estimation and simulations.
  • To investigate the impact of drug-induced changes in cell trafficking on immune cell dynamics.

Main Methods:

  • Adopted the McKendrick age-structured population model for blood and extravascular cell populations.
  • Modeled age-dependent cell recirculation using a Weibull function.
  • Incorporated drug effects on cell trafficking via an Emax function of plasma concentration, implemented in NONMEM.

Main Results:

  • The age structure was essential for explaining the rebound in blood cell counts post-drug administration (ν >1).
  • Model parameter estimates included ν=3.02, β=0.00863 1/h, and IC50=7.47 ng/mL.
  • Calculated baseline mean transit times for basophils were 7.2 h (blood) and 104.9 h (extravascular tissues).

Conclusions:

  • An age-structured population model was developed to describe drug-modulated cell trafficking between blood and tissues.
  • The model successfully accounted for inhibitory drug effects on cell recirculation.
  • The model's ability to explain rebound phenomena was validated using basophil responses to dexamethasone treatment.