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Related Concept Videos

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

Pharmacodynamic Models: Direct Effect Model and Indirect Response Model

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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Pharmacokinetic–Pharmacodynamic Relationship: Problems

The empirical approach to drug therapy optimization relies on correlating pharmacological response with administered dosage. Such an approach can be costly, time-consuming, and often yields poor correlation due to variables like formulation factors and drug elimination characteristics. A more precise approach correlates response with plasma drug concentration or the amount of drug in the body, rather than dosage. This is achieved through pharmacokinetic-pharmacodynamic (PK/PD) modeling, which...
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The correlation between a drug's dosage and its impact on a biological system is a cornerstone of pharmacology and toxicology. Conventional dose–response curves, which include graded and quantal relationships, are key to this understanding. Graded dose–response curves depict the spectrum of a biological reaction to different doses within an individual, indicating that as the drug dosage increases, so does the intensity of the response. On the other hand, quantal dose–response relationships...
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A drug’s dosage and pharmacokinetic properties determine how quickly it acts, how intense its effects are, and how long it lasts. Higher doses increase drug concentration at receptor sites, producing a hyperbolic curve when pharmacologic response is plotted against drug dose. Converting this scale to a log-linear format results in a sigmoidal curve, better representing dose–response relationships.For drugs following a one-compartment model, the pharmacologic response is directly proportional to...
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Generation of a Mouse Spontaneous Autoimmune Thyroiditis Model
04:39

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Published on: March 17, 2023

Marginal iodide deficiency and thyroid function: dose-response analysis for quantitative pharmacokinetic modeling.

M E Gilbert1, E D McLanahan, J Hedge

  • 1Toxicity Assessment Division (MD-B105-05), National Health and Environmental Effects Research Laboratory, U.S. Environmental Protection Agency, 109 TW Alexander Drive, Research Triangle Park, NC 27711, USA. gilbert.mary@epa.gov

Toxicology
|February 15, 2011
PubMed
Summary
This summary is machine-generated.

Marginal iodine deficiency (ID) impacts thyroid hormones, with rats showing resilience to low iodine intake. This study provides data for quantitative models of iodine deficiency during pregnancy and lactation.

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In vivo Characterization of Endocrine Disrupting Chemical Effects via Thyroid Hormone Action Indicator Mouse
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Area of Science:

  • Endocrinology
  • Nutritional Science
  • Toxicology

Background:

  • Severe iodine deficiency (ID) is linked to developmental hypothyroidism, but marginal ID effects are less understood.
  • Thyroid hormones are crucial for development, and their regulation is sensitive to iodine availability.
  • Quantitative models are needed to predict the health impacts of varying iodine intake levels.

Purpose of the Study:

  • To investigate the dose-response relationship between graded iodine intake and thyroid function in rats.
  • To gather parametric data for developing a quantitative biologically based dose-response (BBDR) model of the thyroid axis.
  • To compare experimental findings with existing BBDR model predictions for iodine deficiency.

Main Methods:

  • Female Long Evans rats were fed diets with iodine concentrations ranging from excess to deficient for 8 weeks.
  • Food intake, body weight, and urinary iodide excretion were monitored.
  • Serum thyroid hormones (T4, T3, TSH), thyroid weight, and thyroid iodine content were analyzed.

Main Results:

  • Serum thyroxine (T4) levels decreased dose-dependently with lower iodine intake.
  • Thyroid weight increased, while thyroidal and urinary iodide content decreased as dietary iodine reduced.
  • Rats exhibited greater resilience to low iodine intake than predicted by current BBDR models.

Conclusions:

  • Graded iodine intake affects thyroid hormone levels and iodine storage in rats.
  • Existing quantitative models may overestimate the impact of marginal iodine deficiency in certain populations.
  • Further refinement of BBDR models is necessary, incorporating data from this study for improved predictions during pregnancy and lactation.