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Practical and Science-Based Strategy for Establishing Acceptable Intakes for Drug Product N-Nitrosamine Impurities
Krista L Dobo1, Michelle O Kenyon1, Olivier Dirat2
1Drug Safety Research and Development, Global Portfolio and Regulatory Strategy, Pfizer Worldwide Research, Development, and Medical, Groton, Connecticut 06340, United States.
Chemical Research in Toxicology
|February 25, 2022
Summary
This study establishes acceptable intake (AI) levels for complex N-nitrosamine impurities in pharmaceuticals. These derived AIs allow for higher analytical detection limits, aiding drug quality management.
Area of Science:
- Pharmaceutical Chemistry
- Analytical Chemistry
- Toxicology
Background:
- N-nitrosamine impurities in pharmaceuticals pose a significant quality management challenge due to their potent carcinogenicity.
- Regulatory actions, including drug recalls, highlight the urgent need to assess and control N-nitrosamine contamination.
- Establishing acceptable intake (AI) levels is crucial for risk assessment and guiding analytical testing strategies.
Purpose of the Study:
- To derive acceptable intake (AI) levels for complex N-nitrosamine impurities lacking carcinogenicity data.
- To facilitate the development of analytical methods for detecting these unique pharmaceutical impurities.
- To support regulatory compliance and ensure the safety of medicinal products.
Main Methods:
- Cataloging and grouping complex N-nitrosamine impurities based on shared structural features (13 groups defined).
- Reviewing carcinogenicity data of structurally related N-nitrosamines to inform group AI derivation.
- Conservatively deriving group AIs based on the most potent N-nitrosamine within each structural category.
Main Results:
- Acceptable intake (AI) levels were successfully derived for numerous complex N-nitrosamine impurities.
- The derived AIs for several N-nitrosamine groups were significantly higher than those for simple N,N-dialkylnitrosamines.
- Higher AIs enable commensurately higher analytical method detection limits, simplifying impurity analysis.
Conclusions:
- The study provides a framework for establishing AIs for complex N-nitrosamines, addressing a critical gap in pharmaceutical safety.
- The derived AIs are essential for setting appropriate analytical specifications and managing risks associated with these impurities.
- This work aids in the quality control of pharmaceuticals by enabling more practical and effective analytical testing for N-nitrosamine contaminants.
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