Naomi L. Kruhlak , Marianne Schmidt , Roland Froetschl , Stefan Graber , Bodo Haas , Irene Horne , Stephen Horne , Sruthi T. King , Iryna A. Koval , Govindaraj Kumaran , Anja Langenkamp , Timothy J. McGovern , Tyler Peryea , Alan Sanh , Aline Siqueira Ferreira , Leon van Aerts , Alisa Vespa , Rhys Whomsley
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引用次数: 0
摘要
在过去 5 年中,亚硝胺杂质(包括亚硝胺药物物质相关杂质 (NDSRI))给制药行业和监管机构带来了挑战,并影响了全球药物供应。亚硝胺是一类已知的致癌物质,但 NDSRIs 带来了额外的挑战,因为许多 NDSRIs 缺乏经验数据来确定可接受摄入量 (AI) 限值。在某些情况下,代用物的读数交叉分析被用来确定可接受摄入量限值;但是,这种方法受到了与 NDSRIs 结构特征相匹配的经过严格测试的代用物的限制,因为 NDSRIs 通常包含各种不同的官能团。此外,在某些情况下,由于缺乏替代物,导致 AI 限制过于保守,给杂质控制带来了实际挑战。因此,迫切需要一个新的框架来确定推荐的 AI 限值。本文介绍了致癌潜能分类法(CPCA)及其科学依据。CPCA 是一种基于结构-活性关系的快速应用方法,可将亚硝胺归入 5 个类别中的 1 个类别,每个类别都有相应的 AI 限值,以反映预测的致癌性。CPCA 考虑了亚硝胺 N-亚硝基中心 α-氢的数量和分布,以及亚硝胺的其他活化和失活结构特征,这些特征会影响致癌的 α-羟化代谢活化途径。CPCA 在国际上已被多个药品监管机构采用,作为确定亚硝胺建议 AI 限值的简化方法和起点,而无需特定化合物的经验数据。
Determining recommended acceptable intake limits for N-nitrosamine impurities in pharmaceuticals: Development and application of the Carcinogenic Potency Categorization Approach (CPCA)
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.
期刊介绍:
Regulatory Toxicology and Pharmacology publishes peer reviewed articles that involve the generation, evaluation, and interpretation of experimental animal and human data that are of direct importance and relevance for regulatory authorities with respect to toxicological and pharmacological regulations in society. All peer-reviewed articles that are published should be devoted to improve the protection of human health and environment. Reviews and discussions are welcomed that address legal and/or regulatory decisions with respect to risk assessment and management of toxicological and pharmacological compounds on a scientific basis. It addresses an international readership of scientists, risk assessors and managers, and other professionals active in the field of human and environmental health.
Types of peer-reviewed articles published:
-Original research articles of relevance for regulatory aspects covering aspects including, but not limited to:
1.Factors influencing human sensitivity
2.Exposure science related to risk assessment
3.Alternative toxicological test methods
4.Frameworks for evaluation and integration of data in regulatory evaluations
5.Harmonization across regulatory agencies
6.Read-across methods and evaluations
-Contemporary Reviews on policy related Research issues
-Letters to the Editor
-Guest Editorials (by Invitation)