Hristiana Ivanova, Petko I Petkov, Sunil Kulkarni, Tara Barton-Maclaren, Elena Kaloyanova, Stefan Kotov, Kalin Kirilov, Terry W Schultz, Ovanes G Mekenyan
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引用次数: 0
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.
n -亚硝胺(NNAs)作为杂质在几种药物中的发现,重新激活了评估其致突变和致癌潜力的活动。在目前的研究中,利用TIMES模型的基于机制的结构-活性方法重新研究了NNAs的二元诱变潜力。重点放在满足OECD (Q)SAR原则的模型验证和组织的(Q)SAR预测原则。在鼠伤寒沙门菌标准电池中检测41种小而复杂的含有rna的物质,并在小鼠微粒体激活和未激活的情况下对这些任务进行了评估。结构边界最初来源于文献中描述的亲本NNAs与DNA相互作用的激活机制。这些激活机制包括直接作用的致突变性(亲本分子的脱亚硝化)或S9代谢激活后的DNA相互作用(α -羟基化)。在对41种NNAs进行分析后,减轻或“掩盖”NNAs与DNA共价结合的结构特征扩展了最初的警报定义。结构片段对这41种化学物质的激活和否定机制的预测能力(性能)非常出色。报告3例假阳性,无假阴性。此外,通过描述新的代谢转化,解释了代谢在仲胺和叔胺在体内转化为仲胺后的n -亚硝化中的作用。这些转化边界应用于不同的清单,以寻找潜在的NNAs体内代谢前体的亲本结构。
期刊介绍:
Mutagenesis is an international multi-disciplinary journal designed to bring together research aimed at the identification, characterization and elucidation of the mechanisms of action of physical, chemical and biological agents capable of producing genetic change in living organisms and the study of the consequences of such changes.