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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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Nonlinear Pharmacokinetics: Overview01:19

Nonlinear Pharmacokinetics: Overview

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Nonlinear or dose-dependent pharmacokinetics is a phenomenon that occurs when the pharmacokinetic parameters of certain drugs deviate from linear pharmacokinetics at higher doses. These drugs do not follow the expected first-order kinetics, where the rate of drug elimination is directly proportional to the drug concentration. Instead, they exhibit a nonlinear relationship, which can be attributed to several factors.
Nonlinearity can arise due to the saturation of plasma protein-binding or...
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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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Drug Distribution as One-Compartment Model and Elimination by Nonlinear Pharmacokinetics: Overview01:25

Drug Distribution as One-Compartment Model and Elimination by Nonlinear Pharmacokinetics: Overview

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Drug administration can occur through various routes, each of which may result in a different process of elimination. This process is often mixed with nonlinear and linear processes. It's important to understand that a single drug can be metabolized into different metabolites through parallel processes.
For instance, consider the metabolism of sodium salicylate. This compound is metabolized into two distinct substances: a glucuronide and a glycine conjugate. The rate of conjugation depends...
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Nonlinear Pharmacokinetics: Causes of Nonlinearity01:22

Nonlinear Pharmacokinetics: Causes of Nonlinearity

572
Nonlinearity in drug pharmacokinetics is caused by various factors influencing how a drug is absorbed, distributed, metabolized, and excreted. Understanding these nonlinear processes is crucial for predicting drug behavior in the body and optimizing drug dosing regimens.
Nonlinear drug absorption can occur when the process is rate-limited by solubility, carrier-mediated transport systems, or saturation of the presystemic gut wall or hepatic metabolism. For instance, high doses of riboflavin...
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Parameters Affecting Nonlinear Elimination: Zero-Order Input, First-Order Absorption and Two-Compartment Model01:13

Parameters Affecting Nonlinear Elimination: Zero-Order Input, First-Order Absorption and Two-Compartment Model

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Drugs administered through various routes can lead to nonlinear elimination, resulting in complex pharmacokinetic behaviors crucial to understanding efficacious drug dosing.
When a drug is administered through a constant intravenous infusion and eliminated via nonlinear pharmacokinetics, it follows zero-order input. For example, oral drugs undergo first-order absorption upon administration and are eliminated through nonlinear pharmacokinetics.
In the case of subcutaneously administered drugs,...
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A Simple Toxicokinetic Model Exhibiting Complex Dynamics and Nonlinear Exposure Response.

Robert M Park1

  • 1Division of Science Integration, National Institute for Occupational Safety and Health, 1090 Tusculum Ave, MS C-15, Cincinnati, OH, USA.

Risk Analysis : an Official Publication of the Society for Risk Analysis
|July 8, 2020
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Summary
This summary is machine-generated.

Physiologically based pharmacokinetic (PBPK) models can predict internal exposure concentrations. Incorporating biological response times reveals complex, nonlinear dose-response relationships at low exposures, crucial for accurate risk assessment.

Keywords:
Dose responsePBPKhomeostasishormesissimulationupregulation

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Area of Science:

  • Toxicology
  • Pharmacokinetics
  • Computational Biology

Background:

  • Accurate risk assessment requires understanding exposure-response relationships, especially at low doses.
  • Current physiologically based pharmacokinetic (PBPK) models often assume fixed or instantaneously dose-dependent parameters.
  • Biological regulatory mechanisms have response times that can influence chronic low-dose exposure effects.

Purpose of the Study:

  • To investigate the impact of incorporating biological response times into PBPK models.
  • To explore the resulting dynamic behaviors and their implications for low-dose exposure response.
  • To provide a mechanistic basis for homeostasis and hormesis.

Main Methods:

  • Development of a simple one-compartment simulation model.
  • Inclusion of delayed up- or downregulation of a metabolic pathway.
  • Analysis of internal concentrations as a function of external exposure concentrations over time.

Main Results:

  • The model demonstrates significant nonlinearity and nonmonotonicity in internal concentrations relative to external exposure.
  • Delayed regulatory responses introduce complex dynamics not captured by static models.
  • These dynamics are observed even at low external exposure levels.

Conclusions:

  • Delayed biological responses in PBPK models can explain complex low-dose exposure effects.
  • This approach offers a mechanistic understanding of homeostasis and potential hormetic effects.
  • The findings are critical for improving the accuracy of risk assessment at low exposure levels.