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Practical and Science-Based Strategy for Establishing Acceptable Intakes for Drug Product N -Nitrosamine Impurities.

Krista L DoboMichelle O KenyonOlivier DiratMaria EngelAndrew FleetwoodMatthew MartinSusan MattanoAlyssa MussoJames Christopher McWilliamsAlexandros PapanikolaouPatricia ParrisJessica WhritenourShu YuAmit S Kalgutkar
Published in: Chemical research in toxicology (2022)
The potential for N -nitrosamine impurities in pharmaceutical products presents a challenge for the quality management of medicinal products. N -Nitrosamines are considered cohort-of-concern compounds due to the potent carcinogenicity of many of the structurally simple chemicals within this structural class. In the past 2 years, a number of drug products containing certain active pharmaceutical ingredients have been withdrawn or recalled from the market due to the presence of carcinogenic low-molecular-weight N , N -dialkylnitrosamine impurities. Regulatory authorities have issued guidance to market authorization holders to review all commercial drug substances/products for the potential risk of N -nitrosamine impurities, and in cases where a significant risk of N -nitrosamine impurity is identified, analytical confirmatory testing is required. A key factor to consider prior to analytical testing is the estimation of the daily acceptable intake (AI) of the N -nitrosamine impurity. A significant proportion of N -nitrosamine drug product impurities are unique/complex structures for which the development of low-level analytical methods is challenging. Moreover, these unique/complex impurities may be less potent carcinogens compared to simple nitrosamines. In the present work, our objective was to derive AIs for a large number of complex N -nitrosamines without carcinogenicity data that were identified as potential low-level impurities. The impurities were first cataloged and grouped according to common structural features, with a total of 13 groups defined with distinct structural features. Subsequently, carcinogenicity data were reviewed for structurally related N -nitrosamines relevant to each of the 13 structural groups and group AIs were derived conservatively based on the most potent N -nitrosamine within each group. The 13 structural group AIs were used as the basis for assigning AIs to each of the structurally related complex N -nitrosamine impurities. The AIs of several N -nitrosamine groups were found to be considerably higher than those for the simple N , N -dialkylnitrosamines, which translates to commensurately higher analytical method detection limits.
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