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Related Concept Videos

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 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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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

69
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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Physiological Pharmacokinetic Models: Assumption with Protein Binding01:13

Physiological Pharmacokinetic Models: Assumption with Protein Binding

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Physiological models with protein binding in pharmacokinetics offer a sophisticated approach to understanding drug disposition. These models consider drug-protein interactions, enabling them to effectively predict drug concentrations in different organs and tissues. This precision aids in accurate drug dosing, providing a significant advantage over conventional models. A key process within these models is equilibration, which ensures that drug concentrations achieve a steady state within the...
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Updated: Jul 2, 2025

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Identifying and Predicting Delayed Mortality with Toxicokinetic-Toxicodynamic Models.

Tjalling Jager1

  • 1DEBtox Research, Stevensweert, The Netherlands.

Environmental Toxicology and Chemistry
|February 28, 2024
PubMed
Summary
This summary is machine-generated.

Standard toxicity tests often miss delayed mortality, where deaths occur after exposure ends. Toxicokinetic-toxicodynamic (TKTD) models can capture this, but short tests may not predict it.

Keywords:
Aquatic toxicologyDaphnia magnaDelayed toxicityDose–response modelingGeneral Unified Threshold model for Survival (GUTS)MortalityTKTD modelingToxicodynamicsToxicokinetics

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Area of Science:

  • Ecotoxicology
  • Environmental Chemistry
  • Toxicology

Background:

  • Standardized toxicity testing in ecotoxicology frequently overlooks the temporal dimension of toxic effects.
  • Delayed mortality, where adverse effects manifest after toxicant exposure ceases, highlights the importance of time-dependent toxicity.

Purpose of the Study:

  • To evaluate the capability of toxicokinetic-toxicodynamic (TKTD) models within the General Unified Threshold model for Survival (GUTS) framework to capture delayed mortality.
  • To assess the predictability of delayed mortality from short-term standard ecotoxicity tests.

Main Methods:

  • Analysis of a published dataset on fluoroquinolone toxicity in Daphnia magna, exhibiting significant delayed mortality (immobilization as a proxy for death).
  • Application of GUTS stochastic death models to analyze the time-dependent toxicity data.

Main Results:

  • GUTS stochastic death models successfully captured delayed mortality in the dataset, including a prolonged recovery phase.
  • Crucially, a standard 2-day test would not have predicted these delayed toxic effects.
  • The study indicates limited predictive power of standard acute test designs for phenomena like delayed mortality.

Conclusions:

  • TKTD modeling provides insights into the temporal aspects of toxicity but has limitations in extrapolating effects from severely restricted standard tests.
  • The phenomenon of delayed toxicity warrants further structured investigation to determine its prevalence and ecological impact.
  • Standard ecotoxicological tests may underestimate the full impact of certain toxicants due to their time-dependent nature.