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Related Concept Videos

Pharmacodynamic Models: Overview01:27

Pharmacodynamic Models: Overview

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Pharmacodynamic (PD) responses describe the interaction between a drug and its biological target, culminating in a physiological effect. These responses can be classified into different types: continuous variables, such as blood glucose levels; categorical outcomes, like survival rates; and time-to-event metrics, such as disease progression. Understanding and modeling PD responses are critical for optimizing drug efficacy and safety.PD models describe the relationship between drug concentration...
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Therapeutic Drug Monitoring: Overview and Classification01:16

Therapeutic Drug Monitoring: Overview and Classification

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Therapeutic Drug Monitoring (TDM) is a clinical practice that measures specific drug levels in a patient's blood at designated intervals to ensure the drug concentration stays within a therapeutic range. This monitoring is crucial for optimizing individual dosage regimens, enhancing therapeutic efficacy, and minimizing drug-related toxicity. TDM is vital for drugs with narrow therapeutic windows, significant variability in pharmacokinetics, and a clear correlation between plasma levels and...
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Therapeutic Drug Monitoring: Affecting Factors01:29

Therapeutic Drug Monitoring: Affecting Factors

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Therapeutic Drug Monitoring (TDM) is the clinical practice of measuring specific drug levels in a patient's blood or body tissues to manage and optimize therapy. TDM is crucial for drugs with narrow therapeutic windows, like warfarin and phenytoin, where incorrect doses can lead to treatment failure or severe side effects. This monitoring ensures the dosage administered is within a safe and effective range. The factors affecting therapeutic drug monitoring include:Patient-Specific Factors:a.
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Physiological Pharmacokinetic Models: Incorporating Hepatic Transporter-Mediated Clearance01:07

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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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Pharmacodynamic Models: Direct Effect Model and Indirect Response Model01:29

Pharmacodynamic Models: Direct Effect Model and Indirect Response Model

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Pharmacodynamic models are essential tools in understanding the relationship between drug concentrations and their effects on biological systems. By characterizing the dynamics of drug action, these models guide dose selection, optimize therapeutic efficacy, and inform the development of new drugs. Two major classes of pharmacodynamic models include direct effect and indirect response models.Direct Effect ModelsDirect effect models describe the immediate relationship between drug concentration...
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Pharmacodynamic Models: Link Model and Systems Pharmacodynamic Model01:14

Pharmacodynamic Models: Link Model and Systems Pharmacodynamic Model

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The link model is a fundamental pharmacokinetic-pharmacodynamic (PK–PD) approach to account for delayed drug responses when the observed effect does not immediately correlate with the drug's plasma concentration peak. This delay is mathematically addressed by introducing an effect compartment concentration, Ce, which is kinetically linked to the plasma concentration, Cp, via a first-order rate constant, ke0. The linkage allows for a more accurate prediction of drug effects over time. A...
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A Tutorial on Target-Mediated Drug Disposition (TMDD) Models.

P Dua1, E Hawkins2, P H van der Graaf3

  • 1Pharmatherapeutics Research Clinical Pharmacology, Pfizer Neusentis Cambridge, UK.

CPT: Pharmacometrics & Systems Pharmacology
|July 31, 2015
PubMed
Summary
This summary is machine-generated.

Target-mediated drug disposition (TMDD) impacts drug pharmacokinetics when drugs bind strongly to targets. This tutorial guides pharmaceutical researchers through the mathematical models of TMDD, aiding drug development.

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Area of Science:

  • Pharmacology
  • Pharmacokinetics
  • Mathematical Biology

Background:

  • Target-mediated drug disposition (TMDD) describes how high-affinity drug-target binding influences pharmacokinetic properties.
  • Understanding TMDD is crucial for optimizing drug efficacy and safety.

Purpose of the Study:

  • To provide an introductory guide to the mathematical aspects of TMDD models.
  • To assist pharmaceutical researchers in applying these models to drug development.

Main Methods:

  • Discussion of fundamental mathematical concepts underlying TMDD.
  • Presentation of various TMDD model structures.
  • Inclusion of supplementary Berkeley Madonna code for practical application.

Main Results:

  • The tutorial elucidates the mathematical framework of TMDD.
  • It offers practical examples and computational tools for researchers.
  • This facilitates a deeper understanding of drug disposition influenced by target binding.

Conclusions:

  • Mathematical modeling of TMDD is essential for pharmaceutical research.
  • This guide equips researchers with the knowledge to analyze and predict drug behavior.
  • Effective application of TMDD models can enhance drug design and therapeutic outcomes.