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Streamlining Food Effect Assessment - Are Repeated Food Effect Studies Needed? An IQ Analysis.

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Most repeat drug-food interaction studies show minimal changes in food effect, regardless of formulation adjustments. Physiologically based pharmacokinetic (PBPK) modeling can help predict outcomes, suggesting case-by-case evaluations for these studies.

Keywords:
PBPKbioequivalencedrug-food interactionfood effectmodeling and simulation

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Area of Science:

  • Pharmacokinetics and Drug Development
  • Regulatory Science

Background:

  • Current guidelines mandate early and pivotal food effect studies for drug-food interactions.
  • Repeated food effect studies are common in drug development, but data is scarce.
  • Study waivers are limited to BCS class 1 drugs.

Purpose of the Study:

  • To compile data on repeated food effect studies across pharmaceutical companies.
  • To provide recommendations for the conduct of these studies.
  • To analyze the impact of formulation changes on food effect.

Main Methods:

  • Compilation of a dataset from 54 repeated food effect studies.
  • Analysis of changes in food effect and their relationship to formulation changes.
  • Demonstration of physiologically based pharmacokinetic (PBPK) model application for future formulations.

Main Results:

  • Most repeat food effect studies (54 collected) showed no meaningful differences in food effect assessment.
  • Observed changes in food effect were seldom greater than twofold.
  • No clear link was found between formulation changes and alterations in food effect, suggesting compound properties are key.

Conclusions:

  • Repeat food effect studies often yield similar results to initial assessments.
  • Physiologically based pharmacokinetic (PBPK) models, once validated, can be applied to new formulations.
  • Recommendations favor a case-by-case approach for repeat food effect studies, integrating all evidence including PBPK modeling.