Model predicting impact of complexation with cyclodextrins on oral absorption

Area of Science:

• Pharmacokinetics
• Drug Delivery Systems
• Computational Modeling

Background:

• Low-solubility drugs present challenges for oral delivery.
• Cyclodextrins (CD) are used to enhance drug solubility and bioavailability.
• Predicting the precise impact of CD on drug absorption is complex.

Purpose of the Study:

• To develop a quantitative, dynamic model for predicting the influence of CD on oral drug absorption.
• To guide formulation development and minimize iterative testing for low-solubility drugs.
• To assess the impact of CD complexation on drug bioavailability.

Main Methods:

• Developed a systems-based dynamic model.
• Incorporated CD complexation, dissolution enhancement, precipitation kinetics, and free drug binding.
• Simulated drug absorption with varying drug and CD properties.
• Validated model predictions against in vitro and in vivo experimental data.

Main Results:

• Model simulations indicated CD can increase absorption up to fivefold or decrease it by 50%.
• The effect of CD on drug absorption can be positive, negative, or negligible.
• Model predictions showed good agreement with experimental results.

Conclusions:

• A dynamic model incorporating CD complexation and kinetics can quantitatively predict the impact of CD on oral drug bioavailability.
• This modeling approach can aid in optimizing drug formulation and reducing development costs.
• The model provides valuable guidance for using cyclodextrins in drug delivery.