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Determining recommended acceptable intake limits for N-nitrosamine impurities in pharmaceuticals: Development and application of the Carcinogenic Potency Categorization Approach (CPCA).

Authors :
Kruhlak NL
Schmidt M
Froetschl R
Graber S
Haas B
Horne I
Horne S
King ST
Koval IA
Kumaran G
Langenkamp A
McGovern TJ
Peryea T
Sanh A
Siqueira Ferreira A
van Aerts L
Vespa A
Whomsley R
Source :
Regulatory toxicology and pharmacology : RTP [Regul Toxicol Pharmacol] 2024 Jun; Vol. 150, pp. 105640. Date of Electronic Publication: 2024 May 14.
Publication Year :
2024

Abstract

N-Nitrosamine impurities, including nitrosamine drug substance-related impurities (NDSRIs), have challenged pharmaceutical industry and regulators alike and affected the global drug supply over the past 5 years. Nitrosamines are a class of known carcinogens, but NDSRIs have posed additional challenges as many lack empirical data to establish acceptable intake (AI) limits. Read-across analysis from surrogates has been used to identify AI limits in some cases; however, this approach is limited by the availability of robustly-tested surrogates matching the structural features of NDSRIs, which usually contain a diverse array of functional groups. Furthermore, the absence of a surrogate has resulted in conservative AI limits in some cases, posing practical challenges for impurity control. Therefore, a new framework for determining recommended AI limits was urgently needed. Here, the Carcinogenic Potency Categorization Approach (CPCA) and its supporting scientific rationale are presented. The CPCA is a rapidly-applied structure-activity relationship-based method that assigns a nitrosamine to 1 of 5 categories, each with a corresponding AI limit, reflecting predicted carcinogenic potency. The CPCA considers the number and distribution of α-hydrogens at the N-nitroso center and other activating and deactivating structural features of a nitrosamine that affect the α-hydroxylation metabolic activation pathway of carcinogenesis. The CPCA has been adopted internationally by several drug regulatory authorities as a simplified approach and a starting point to determine recommended AI limits for nitrosamines without the need for compound-specific empirical data.<br />Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.<br /> (Published by Elsevier Inc.)

Details

Language :
English
ISSN :
1096-0295
Volume :
150
Database :
MEDLINE
Journal :
Regulatory toxicology and pharmacology : RTP
Publication Type :
Academic Journal
Accession number :
38754805
Full Text :
https://doi.org/10.1016/j.yrtph.2024.105640