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Published on: December 1, 2020
Establishing the Safe Space via Physiologically Based Biopharmaceutics Modeling. Case Study: Fevipiprant/QAW039.
Alexandros Kourentas1, Monika Gajewska2, Wen Lin3,4
1Dissolution & Biopharmaceutics, Analytical Research and Development, Technical Research and Development, Novartis AG, CH-4056, Basel, Switzerland.
Physiologically based pharmacokinetic modeling defined a dissolution safe space for fevipiprant tablets. This approach ensures drug product quality and predicts in vivo performance, supporting wider acceptance criteria for bioequivalent formulations.
Area of Science:
- Biopharmaceutics
- Pharmacokinetics
- Drug Product Quality
Background:
- Physiologically based pharmacokinetic (PBPK) and absorption modeling are crucial in biopharmaceutics for establishing safe operating spaces for drug product attributes like dissolution.
- Understanding the impact of in vitro dissolution on in vivo performance is essential for drug development and commercial scale-up.
Purpose of the Study:
- To establish a fevipiprant (QAW039) dissolution safe space using clinical data and in vitro dissolution profiles.
- To assess the impact of dissolution on the in vivo performance of immediate-release fevipiprant tablets.
- To define acceptance criteria for dissolution that ensure bioequivalence.
Main Methods:
- Simulations using GastroPlus™ software with quality control dissolution profiles as inputs.
- Utilizing clinical pharmacokinetic (PK) data from bioequivalent and non-bioequivalent fevipiprant formulations.
- Developing a predictive model to estimate in vivo dissolution and human exposure.
Main Results:
- A fevipiprant dissolution safe space was successfully established.
- The model accurately predicted the performance of various oral dosage forms (150–500 mg).
- A dissolution specification of Q=80% dissolved in ≤60 minutes defined the safe space boundaries.
- The commercial scale batch dissolution profile fell within the anticipated bioequivalence region.
Conclusions:
- The established safe space supports wider dissolution acceptance criteria (e.g., >10% difference for bioequivalent batches) than traditional f2 similarity analyses.
- PBPK modeling provides confidence in drug product quality and bioequivalence predictions.
- This approach enhances the understanding of the relationship between in vitro dissolution and in vivo performance for immediate-release dosage forms.
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