Hierarchical Transit Compartment Model to Describe Absorption Delay in Orally Administered Drugs in Heterogeneous...

Area of Science:

• Pharmacokinetics and Drug Metabolism
• Mathematical Modeling in Pharmacology
• Systems Biology Approaches

Background:

• Oral drug administration involves absorption delays due to drug formulation, dissolution, and tissue transfer.
• Significant inter-individual variability in pharmacokinetic profiles is observed across different subpopulations.
• Accurate modeling of absorption delay and variability is crucial for effective drug development.

Purpose of the Study:

• To present a hierarchical transit compartment model for systematically describing absorption delay in orally administered drugs.
• To explicitly account for between-subpopulation variations in pharmacokinetic profiles.
• To provide a framework for simultaneous inference on population and subpopulation-specific pharmacokinetic parameters.

Main Methods:

• Development of a hierarchical transit compartment model to represent physiological absorption processes.
• Specification of non-informative priors on key pharmacokinetic parameters.
• Implementation of an efficient computational scheme using the Hamiltonian Monte Carlo algorithm for inference.

Main Results:

• The proposed model accurately represents drug absorption delay and accounts for formulation and drug property influences.
• The Hamiltonian Monte Carlo-based inference enables valid uncertainty quantification.
• Simultaneous inference on population and subpopulation parameters is achieved.

Conclusions:

• The hierarchical transit compartment model offers an accurate physiological representation of drug absorption delay.
• The developed computational method provides efficient and robust inference for pharmacokinetic analysis.
• This methodology enhances understanding of drug absorption variability and aids in drug development and personalized medicine.