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Related Concept Videos

Pharmacokinetic Models: Overview01:20

Pharmacokinetic Models: Overview

970
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...
970
Pharmacokinetic Models: Comparison and Selection Criterion01:26

Pharmacokinetic Models: Comparison and Selection Criterion

131
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.
131
Model Approaches for Pharmacokinetic Data: Distributed Parameter Models01:06

Model Approaches for Pharmacokinetic Data: Distributed Parameter Models

118
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...
118
Model Approaches for Pharmacokinetic Data: Compartment Models01:14

Model Approaches for Pharmacokinetic Data: Compartment Models

173
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...
173
Mechanistic Models: Overview of Compartment Models01:21

Mechanistic Models: Overview of Compartment Models

142
Mechanistic models, a category encompassing both physiological and compartmental modeling, differ from empirical models' approaches to incorporating known factors about the systems being modeled. Empirical models describe data with minimal assumptions, while mechanistic models aim to provide a robust description of available data by specifying assumptions and integrating known factors about the system. Compartmental analysis is a key example of a mechanistic model in pharmacokinetics and...
142
One-Compartment Open Model for Extravascular Administration: Zero-Order Absorption Model01:12

One-Compartment Open Model for Extravascular Administration: Zero-Order Absorption Model

148
Extravascular administration, such as oral or intramuscular routes, is a non-invasive drug delivery method, often preferred for ease and patient compliance. A key factor here is absorption, which dictates how quickly and effectively the drug enters the bloodstream from the administration site. Absorption follows either zero-order or first-order kinetics.
Zero-order absorption maintains a steady rate irrespective of the amount of drug left to be absorbed, making it a constant process. In the...
148

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Related Experiment Video

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Preparation and Characterization of Individual and Multi-drug Loaded Physically Entrapped Polymeric Micelles
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Reservoir-Style Polymeric Drug Delivery Systems: Empirical and Predictive Models for Implant Design.

Linying Li1, Chanhwa Lee2, Daniela F Cruz1

  • 1RTI International, 3040 E Cornwallis Road, Research Triangle Park, NC 27709, USA.

Pharmaceuticals (Basel, Switzerland)
|October 27, 2022
PubMed
Summary

A new mathematical model accurately predicts drug release from biodegradable implants, optimizing drug delivery systems. This approach reduces extensive testing, enabling rational design for sustained release profiles and improved patient adherence.

Keywords:
empirical modelimplantlong-acting drug delivery systempoly(ε-caprolactone)

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Area of Science:

  • Biomaterials Science
  • Pharmaceutical Engineering
  • Drug Delivery Systems

Background:

  • Controlled drug delivery systems offer sustained release, improved pharmacokinetics, and patient adherence.
  • Reservoir-style implants using biodegradable poly(ε-caprolactone) (PCL) are developed for subcutaneous drug delivery.
  • Accurate prediction of drug release profiles is crucial for designing implantable drug delivery systems.

Purpose of the Study:

  • To develop a mathematical model for predicting drug release profiles from PCL implants.
  • To enable rational design and optimization of drug delivery implants without extensive in vitro testing.
  • To correlate drug physicochemical properties with empirical parameters governing diffusion and partitioning.

Main Methods:

  • Development of a mathematical model based on experimental observations.
  • Prediction of empirical parameters (drug diffusion and partitioning) from drug physicochemical properties.
  • Validation of the model by predicting release performance for new drug formulations.

Main Results:

  • The proposed model adequately fits experimental data, predicting empirical parameters close to experimental values for various drugs.
  • Model predictions for new drug formulations aligned with experimental results, particularly for zero-order release kinetics.
  • The model successfully predicted the release performance of drug formulations from PCL implants.

Conclusions:

  • The developed empirical models are effective tools for predicting drug release from PCL implants.
  • These models facilitate informed implant design to achieve desired target release profiles.
  • The study advances the rational design of biodegradable drug delivery systems.