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Leveraging Biopharmaceutics Bridging Risk Assessment and In Vivo Predictive Tools to Accelerate Immediate Release
Helena Engman1, Sara Carlert2, Maria Hammarberg3
1Global Product Development, Pharmaceutical Technology & Development, Operations, AstraZeneca, SE-431 83Gothenburg, Sweden.
A new Biopharmaceutics Bridging Risk Assessment (BBRA) tool uses physiologically based biopharmaceutics modeling (PBBM) and in vitro models to reduce clinical studies by 70%, improving drug development efficiency.
Area of Science:
- Pharmaceutical Sciences
- Drug Development
- Biopharmaceutics
Background:
- Accelerated oral solid dosage form development requires linking clinical data across stages.
- Traditional clinical bridging studies are time-consuming and costly.
- Predictive tools offer a way to ensure clinical performance while reducing reliance on bridging studies.
Purpose of the Study:
- Introduce a novel Biopharmaceutics Bridging Risk Assessment (BBRA) tool.
- Extend the avoidance of clinical bridging studies beyond BCS classes 1 and 3.
- Mitigate late-stage bioavailability/bioequivalence (BE) failure risks.
Main Methods:
- Utilized physiologically based biopharmaceutics modeling (PBBM) with experimental solubility, dissolution, and permeability data.
- Employed advanced in vitro tools like the TNO transit intestinal model (TIM) to simulate gastrointestinal conditions.
- Developed a decision-tree framework aligned with ICH M9 principles for iterative decision-making.
Main Results:
- The BBRA tool successfully extends bridging study avoidance opportunities.
- Analysis of 32 AstraZeneca cases indicated a potential 70% reduction in clinical studies.
- PBBM and TIM provided enhanced risk assessment granularity and understanding.
Conclusions:
- The BBRA tool, integrating PBBM and TIM, offers a strategic approach to drug development.
- This strategy mitigates late-stage BE failure risks and expedites market introduction.
- The approach ensures effective patient treatments by leveraging in vivo predictions and clinical insights.
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