• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

药品中N-亚硝胺杂质的控制:推进当前中国药典委员会框架并支持推导可靠的化合物特定可接受摄入量

Control of N-nitrosamine impurities in drug products: Progressing the current CPCA framework and supporting the derivation of robust compound specific acceptable intakes.

作者信息

Ponting David J, Czich Andreas, Felter Susan P, Glowienke Susanne, Harvey James S, Nudelman Raphael, Schlingemann Joerg, Simon Stephanie, Smith Graham F, Teasdale Andrew, Thomas Robert

机构信息

Lhasa Limited, Granary Wharf House, 2 Canal Wharf, Leeds, United Kingdom.

Sanofi Deutschland GmbH, R&D Preclinical Safety, 65926, Frankfurt, Germany.

出版信息

Regul Toxicol Pharmacol. 2025 Feb;156:105762. doi: 10.1016/j.yrtph.2024.105762. Epub 2024 Dec 9.

DOI:10.1016/j.yrtph.2024.105762
PMID:39662665
Abstract

The carcinogenic potency categorisation approach (CPCA) has recently been introduced by health authorities. In this model, structural features from recent literature, industry proposals, and analyses performed by health authorities, provide a rapid assessment of the potential acceptable intake (AI) for a nitrosamine impurity. As with other screening regulatory values (such as the ICH M7 Threshold of Toxicological Concern), the CPCA is conservative and can be considered a de minimis risk management framework. In cases where a nitrosamine drug substance-related impurity (NDSRI) is present below the CPCA limit, the framework provides resolution from a toxicological perspective (i.e., no further toxicology studies are required). Where an NDSRI is above the CPCA limit, the framework provides for the initiation of additional activities (i.e., the CPCA is not the only possible limit). Read-across approaches are described in both the CPCA and M7 guidance and can provide a limit with more specific applicability than the general model. The use of available experimental data (in vitro or in vivo), is valuable in order to provide an even more specific limit. The CPCA provides a framework; however, data should permit changing the AI from initial structural assessment, based on increasing data, to ultimately increase precision of the AI.

摘要

卫生当局最近采用了致癌潜能分类方法(CPCA)。在此模型中,来自近期文献、行业提议以及卫生当局所做分析的结构特征,可对亚硝胺杂质的潜在可接受摄入量(AI)进行快速评估。与其他筛选监管值(如ICH M7毒理学关注阈值)一样,CPCA较为保守,可被视为一种最低风险的管理框架。若亚硝胺原料药相关杂质(NDSRI)的含量低于CPCA限值,则该框架从毒理学角度给出了解决方案(即无需进一步开展毒理学研究)。若NDSRI高于CPCA限值,该框架则要求启动其他活动(即CPCA并非唯一可能的限值)。CPCA和M7指南中均描述了交叉参照方法,与通用模型相比,该方法可提供适用性更强的限值。利用现有的实验数据(体外或体内),有助于提供更为具体的限值。CPCA提供了一个框架;然而,基于不断增加的数据,应允许根据数据变化从初始结构评估中改变AI,以最终提高AI的准确性。

相似文献

1
Control of N-nitrosamine impurities in drug products: Progressing the current CPCA framework and supporting the derivation of robust compound specific acceptable intakes.药品中N-亚硝胺杂质的控制:推进当前中国药典委员会框架并支持推导可靠的化合物特定可接受摄入量
Regul Toxicol Pharmacol. 2025 Feb;156:105762. doi: 10.1016/j.yrtph.2024.105762. Epub 2024 Dec 9.
2
Determining recommended acceptable intake limits for N-nitrosamine impurities in pharmaceuticals: Development and application of the Carcinogenic Potency Categorization Approach (CPCA).确定药品中 N-亚硝胺杂质的推荐可接受摄入量限值:致癌潜能分类法(CPCA)的制定和应用。
Regul Toxicol Pharmacol. 2024 Jun;150:105640. doi: 10.1016/j.yrtph.2024.105640. Epub 2024 May 14.
3
N-Nitrosamine drug substance related impurities (NDSRIs) - A proposal for the addition of subcategories to carcinogenic potency categorization approach categories 1 and 2 for NDSRIs with a molecular weight > 200 Da.N-亚硝胺类药物杂质(NDSRIs)- 建议为分子量> 200 Da 的 NDSRIs 致癌效力分类类别 1 和 2 添加子类别。
Regul Toxicol Pharmacol. 2024 Dec;154:105704. doi: 10.1016/j.yrtph.2024.105704. Epub 2024 Sep 24.
4
Quantum Mechanical Assessment of Nitrosamine Potency.量子力学评估亚硝胺类化合物的效力。
Chem Res Toxicol. 2024 Jun 17;37(6):1011-1022. doi: 10.1021/acs.chemrestox.4c00087. Epub 2024 May 28.
5
Nitrosamine Drug Substance-Related Impurities (NDSRIs) in Pharmaceuticals: Formation, Mitigation Strategies, and Emphasis on Mutagenicity Risks.药品中的亚硝胺类原料药相关杂质(NDSRIs):形成、缓解策略及对致突变性风险的关注
Pharm Res. 2025 Apr;42(4):547-578. doi: 10.1007/s11095-025-03857-9. Epub 2025 Apr 23.
6
In-situ formation and evaluation of N-nitrosamine drug substance related impurities in glycopeptides implying orbitrap mass spectrometry.基于轨道阱质谱法的糖肽类药物中N-亚硝胺类原料药相关杂质的原位生成与评估
J Pharm Sci. 2025 Feb;114(2):934-948. doi: 10.1016/j.xphs.2024.10.056. Epub 2024 Nov 28.
7
Practical and Science-Based Strategy for Establishing Acceptable Intakes for Drug Product -Nitrosamine Impurities.建立药物产品-亚硝胺杂质可接受摄入量的实用和基于科学的策略。
Chem Res Toxicol. 2022 Mar 21;35(3):475-489. doi: 10.1021/acs.chemrestox.1c00369. Epub 2022 Feb 25.
8
Are all nitrosamines concerning? A review of mutagenicity and carcinogenicity data.所有亚硝胺都令人担忧吗?对致突变性和致癌性数据的综述。
Regul Toxicol Pharmacol. 2020 Oct;116:104749. doi: 10.1016/j.yrtph.2020.104749. Epub 2020 Aug 7.
9
Critical Analysis of Drug Product Recalls due to Nitrosamine Impurities.基于亚硝胺杂质的药品召回的批判性分析
J Med Chem. 2021 Mar 25;64(6):2923-2936. doi: 10.1021/acs.jmedchem.0c02120. Epub 2021 Mar 11.
10
Computational Prediction of Metabolic α-Carbon Hydroxylation Potential of -Nitrosamines: Overcoming Data Limitations for Carcinogenicity Assessment.计算预测亚硝胺代谢α-碳羟化潜力:克服致癌性评估的数据限制。
Chem Res Toxicol. 2023 Jun 19;36(6):959-970. doi: 10.1021/acs.chemrestox.3c00083. Epub 2023 Jun 2.

引用本文的文献

1
Deriving safe limits for N-nitroso-bisoprolol by error-corrected next-generation sequencing (ecNGS) and benchmark dose (BMD) analysis, integrated with QM modeling and CYP-docking analysis.通过纠错下一代测序(ecNGS)和基准剂量(BMD)分析,结合量子力学(QM)建模和细胞色素P450(CYP)对接分析,推导N-亚硝基比索洛尔的安全限量。
Arch Toxicol. 2025 Jun 11. doi: 10.1007/s00204-025-04103-2.