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Using pH Gradient Dissolution with In-Situ Flux Measurement to Evaluate Bioavailability and DDI for Formulated Poorly
Jane Li1, Konstantin Tsinman2, Oksana Tsinman3
1Genentech, South San Francisco, California, 94080, USA.
This study introduces a novel in vitro method to predict reduced drug bioavailability caused by acid reducing agents (ARAs). The pH-gradient dissolution test accurately forecasts drug-drug interaction risks, aiding in the development of safer medications.
Area of Science:
- Pharmacokinetics and Drug Metabolism
- Pharmaceutical Technology
- Drug Interactions
Background:
- Acid reducing agents (ARAs) can significantly alter gastrointestinal pH, impacting the bioavailability of certain drugs.
- Drug-drug interactions (DDIs) involving ARAs are a concern, necessitating predictive in vitro tools.
- Assessing the risk of bioavailability reduction due to DDIs from ARAs is crucial for drug development.
Purpose of the Study:
- To develop and validate an in vitro pH-gradient dissolution method combined with flux measurements.
- To assess the risk of bioavailability reduction caused by DDIs involving ARAs.
- To correlate in vitro findings with in vivo pharmacokinetic data.
Main Methods:
- A pH-gradient dissolution method was employed using USP II dissolution vessels with integrated absorption chambers.
- Fiber optic UV-probes were used for in situ concentration monitoring.
- Dissolution testing was performed on BCS Class II drugs (GDC-0810, GDC-0941, compound A) with media pH conversion from 1.6 or 4.0 to FaSSIF.
Main Results:
- GDC-0810 showed no significant flux difference between pH conditions.
- GDC-0941 exhibited a 95% flux decrease in the pH 4.0 to FaSSIF experiment due to low solubility, correlating with in vivo Cmax and AUC reductions.
- Compound A demonstrated a 25% flux reduction with pH change, aligning with clinical AUC data.
Conclusions:
- The developed in vitro pH-gradient dissolution method accurately predicts bioavailability changes caused by ARAs.
- The method provides a valuable tool for formulators to mitigate DDIs from ARAs during drug product development.
- Good correlation between in vitro and in vivo data validates the method's applicability.
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