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A consortium-driven framework to guide the implementation of ICH M7 Option 4 control strategies
Chris Barber1, Vincent Antonucci2, Jens-Christoph Baumann3
1Lhasa Limited, Leeds, UK.
Regulatory Toxicology and Pharmacology : RTP
|August 21, 2017
Summary
ICH M7 Option 4 allows controlling potentially mutagenic impurities using scientific principles instead of routine testing. This approach reduces analytical burden while ensuring patient safety through rigorous data and theoretical support.
Area of Science:
- Pharmaceutical Chemistry
- Regulatory Science
- Toxicology
Background:
- The International Council for Harmonisation (ICH) M7 guideline addresses the control of mutagenic impurities in pharmaceuticals.
- Option 4 of ICH M7 permits the control of potentially mutagenic impurities based on scientific principles, bypassing routine analytical testing.
- Implementing Option 4 requires a robust scientific justification to ensure patient safety.
Purpose of the Study:
- To introduce a consortium-led initiative for implementing ICH M7 Option 4.
- To propose a framework for the supporting evidence required in regulatory submissions for this approach.
- To facilitate the adoption of scientifically-based impurity control strategies.
Main Methods:
- Review of ICH M7 guideline principles for impurity control.
- Development of a consortium-led strategy for data generation and submission.
- Proposal of evidence requirements, including theoretical and analytical data.
Main Results:
- A proposed framework for regulatory submissions under ICH M7 Option 4.
- Identification of key scientific principles and data types to support the approach.
- A pathway to reduce analytical testing burdens while maintaining safety standards.
Conclusions:
- ICH M7 Option 4 offers a scientifically sound alternative to routine testing for mutagenic impurities.
- A consortium-led initiative can provide the necessary support and guidance for its implementation.
- Well-supported scientific principles can effectively manage impurity risks and streamline regulatory processes.
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