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Updated: Sep 16, 2025

A General Method for Detecting Nitrosamide Formation in the In Vitro Metabolism of Nitrosamines by Cytochrome P450s
Published on: September 25, 2017
N-nitrosamines: in silico modelling of DNA reactivity and identification of metabolic precursors
Hristiana Ivanova1, Petko I Petkov1, Sunil Kulkarni2
1Laboratory of Mathematical Chemistry, As. Zlatarov University, Bourgas, Bulgaria.
Abstract:
The discovery of N-nitrosamines (NNAs) as impurities in several pharmaceuticals has renewed activities in assessing their mutagenic and carcinogenic potential. In the current investigation, the binary mutagenic potential of NNAs is re-investigated using the mechanism-based structure-activity approach of the TIMES models. Emphasis is placed on meeting the OECD (Q)SAR principles for model validation and the organization's (Q)SAR prediction principles. A curated data set of 41 small and complex NNA-containing substances tested in a standard battery of Salmonella typhimurium strains with and without rat microsomal activation was assessed for these tasks. Structural boundaries are initially derived from activating mechanisms for interactions of parent NNAs with DNA described in the literature. These activating mechanisms include direct-acting mutagenicity (denitrosation of parent molecules) or DNA interactions after S9 metabolic activation (alpha-hydroxylation). After analysis of the 41 NNAs, structural features that mitigate or 'mask' the covalent binding of NNAs to DNA expanded the original alert definition. The structural fragments' predictive capabilities (performance) for the activating and negating mechanisms of these 41 chemicals are excellent. Three false positives and no false negatives are reported. Moreover, the role of metabolism in the N-nitrosation of secondary amines and tertiary amines after conversion to secondary amines under in vivo conditions is explained with descriptions of new metabolic transformations. These transformation boundaries are applied to different inventories to search for parent structures that are potential in vivo metabolic precursors of NNAs.
Insights
N-nitrosamines (NNAs) are mutagenic impurities in pharmaceuticals. This study uses the TIMES model to assess NNA mutagenicity, finding excellent predictive capabilities for activating and negating mechanisms, with minimal false positives.
Area of Science:
- Pharmaceutical Chemistry
- Toxicology
- Computational Chemistry
Background:
- N-nitrosamines (NNAs) are impurities found in pharmaceuticals.
- Assessing the mutagenic and carcinogenic potential of NNAs is crucial.
- Previous assessments may not have fully captured the binary mutagenic potential of NNAs.
Purpose of the Study:
- To re-investigate the binary mutagenic potential of N-nitrosamines (NNAs).
- To apply a mechanism-based structure-activity approach using the TIMES models.
- To adhere to OECD (Q)SAR principles for model validation and prediction.
Main Methods:
- Utilized a curated dataset of 41 NNA-containing substances tested in Salmonella typhimurium strains with and without rat microsomal activation.
- Derived structural boundaries from literature-described activating mechanisms (denitrosation, alpha-hydroxylation).
- Identified structural features that mitigate NNA covalent binding to DNA, expanding alert definitions.
Main Results:
- Demonstrated excellent predictive performance of structural fragments for activating and negating NNA mutagenicity mechanisms.
- Reported three false positives and no false negatives in the assessment of 41 NNAs.
- Explained the role of metabolism in N-nitrosation and identified potential in vivo metabolic precursors of NNAs.
Conclusions:
- The TIMES model, incorporating mechanism-based structure-activity relationships, accurately predicts NNA mutagenicity.
- Structural features play a significant role in modulating NNA's interaction with DNA.
- Understanding metabolic pathways is key to identifying potential NNA precursors in vivo.
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