[Development of glipizide push-pull osmotic pump controlled release tablets by using expert system and artificial...

Area of Science:

• Pharmaceutical Technology
• Drug Delivery Systems
• Computational Pharmaceutics

Background:

• Glipizide is a poorly water-soluble drug requiring advanced delivery systems for optimal efficacy.
• Osmotic pump systems offer controlled drug release profiles.
• Formulation development for poorly soluble drugs presents significant challenges.

Purpose of the Study:

• To develop glipizide push-pull osmotic pump (PPOP) tablets.
• To utilize a formulation design expert system and artificial neural network (ANN) for optimizing glipizide PPOP.
• To achieve a formulation bioequivalent to Glucotrol XL.

Main Methods:

• Employed an expert system for initial glipizide PPOP formulation design, targeting Glucotrol XL dissolution profiles.
• Prepared glipizide PPOP tablets based on expert system recommendations.
• Conducted in vitro dissolution testing and in vivo bioequivalence studies in Beagle dogs.
• Utilized ANN for optimizing formulation and process parameters, defining the design space.

Main Results:

• The expert system rapidly identified target formulations matching Glucotrol XL dissolution.
• In vivo studies confirmed bioequivalence between the developed glipizide PPOP and Glucotrol XL.
• The optimized design space for coating weight gain was determined to be 9.5%-12.0%.
• The developed glipizide PPOP exhibited a stricter dissolution standard than Glucotrol XL.

Conclusions:

• A well-controlled glipizide PPOP product was successfully developed.
• The combination of expert systems and ANN is effective for optimizing osmotic pump formulations.
• The developed glipizide PPOP offers a potentially improved therapeutic option with enhanced control.