Physiologic indirect response models characterize diverse types of pharmacodynamic effects

Area of Science:

• Pharmacology
• Pharmacodynamics
• Mathematical Modeling

Background:

• Physiologic indirect response models are crucial for understanding drug effects.
• Previous applications include warfarin, corticosteroids, ibuprofen, and aldose reductase inhibitors.
• These models explain drug actions influencing endogenous substance production or loss.

Purpose of the Study:

• To present a family of four basic indirect response models.
• To demonstrate their applicability to a wide range of drug responses.
• To compare their suitability against
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• or hypothetical effect compartment models.

Main Methods:

• Application of four established indirect response models.
• Analysis of diverse drug-response relationships.
• Comparative evaluation with alternative modeling approaches.

Main Results:

• The models successfully characterize various drug effects, including anticoagulant, anti-inflammatory, and secretory responses.
• Examples include warfarin, corticosteroids, ibuprofen, furosemide, and terbutaline.
• Indirect response models are shown to be more appropriate when time lags exist.

Conclusions:

• A family of four indirect response models provides a robust framework for pharmacodynamic analysis.
• These models are versatile and applicable to numerous drugs and endogenous mediators.
• Indirect response modeling is preferred over
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• models for drugs exhibiting time lags in pharmacodynamic effects.