三种N-胺的故事以及评估其致癌性所需的变量在中纳入单一工作流程中
Jakub Kostal1,2, Adelina Voutchkova-Kostal1,2
1Designing Out Toxicity (DOT) Consulting LLC, 2121 Eisenhower Avenue, Alexandria, Virginia 22314, United States.
Chemical research in toxicology
|April 17, 2025
概括
这项研究验证了使用量子力学 (QM) 评估制药N-胺杂质的in silico方法,为保护公共卫生提供了比动物试验更快,更可靠的替代方案.
科学领域:
- 计算毒理学计算毒理学
- 药品杂质评估 药品杂质评估 药品杂质评估
- 量子力学在药物安全中的应用
背景情况:
- 药品中的N-尼托胺杂质由于其致癌潜力,对公众健康构成重大风险.
- 目前的风险评估方法,如致癌性潜能分类方法 (CPCA),由于缺乏特定的致癌性数据,往往过于保守.
- 迫切需要具有成本效益和可靠的方法来评估这些杂质的风险.
研究的目的:
- 验证一个集成的in silico对接-量子力学 (QM) 方法来评估N-尼托胺的致癌性.
- 证明这种方法在评估特定制药杂质时的有用性.
- 建议对N-尼托胺杂质风险评估进行协调的in silico策略.
主要方法:
- 在CADRE程序中开发和验证了一个集成的in silico策略,将对接和QM计算结合起来.
- 评估了三种特定的N-尼托罗斯胺杂质:N-尼托罗斯-7-单甲基胺-6-脱氧四环素,N-尼托罗斯-达比加特兰乙酸盐和1-甲基-4-尼托罗斯皮佩拉辛.
- 在评估中纳入了诸如生物可用性,运输,细胞染色体P450结合和化学反应性等因素.
主要成果:
- 集成的in silico方法成功补充了CPCA,为N-尼托胺代谢提供了机制驱动因素.
- N-nitroso-7-monomethylamino-6-deoxytetracycline和1-methyl-4-nitrosopiperazine被确定为关注的一组杂质.
- 与CPCA预测相反,N-nitroso-dabigatran etexilate被确定不是一种强烈的致癌物 (TD50> 1.5 mg/kg/day).
结论:
- 经过验证的in silico策略为评估N-尼托胺致癌性提供了一个可辩护,定量和机械的替代方案.
- 这种方法可以完善可接受摄入量 (AI) 水平,平衡风险评估与制药开发和供应.
- 将CADRE等质量管理方法和工具与现有框架相结合,可以实现对杂质安全的协调化战略.
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