In silico, experimental, mechanistic model for extended-release felodipine disposition exhibiting complex absorption...

Area of Science:

• Pharmacokinetics and Drug Metabolism
• Computational Biology and Bioinformatics
• Systems Pharmacology

Background:

• Modified-release drug products often exhibit complex absorption and food-drug interactions.
• Understanding pharmacokinetic variability is crucial for optimizing drug efficacy and safety.
• Existing models may not fully capture the intricate dynamics of in vivo drug behavior.

Purpose of the Study:

• To develop and evaluate novel in silico experimental methods for analyzing drug absorption and food interactions.
• To create a sophisticated software analog simulating human participants for pharmacokinetic studies.
• To decipher the complex, highly variable pharmacokinetics observed in modified-release drug products.

Main Methods:

• Construction of an object- and agent-oriented, discrete event system software analog.
• Incorporation of complex mechanisms and event processes mirroring physiological features.
• Comparison against an equation-based gastrointestinal transit model using nonlinear mixed effects analysis.
• Subject-specific parameterization to replicate individual plasma profiles.

Main Results:

• The software analog successfully mimicked subject-specific plasma profiles, meeting quantitative similarity criteria.
• The in silico method outperformed estimations from the traditional gastrointestinal transit model.
• Significant subject-specific interactions and mechanistic differences between models were identified.

Conclusions:

• The developed in silico approach offers a powerful new strategy for investigating drug absorption and food interactions.
• The simulation's mechanisms provide testable hypotheses for dynamic interactions within individuals.
• This method aids in unraveling the mechanistic basis of complex pharmacokinetic variability.