David J. Ponting , Andreas Czich , Susan P. Felter , Susanne Glowienke , James S. Harvey , Raphael Nudelman , Joerg Schlingemann , Stephanie Simon , Graham F. Smith , Andrew Teasdale , Robert Thomas
{"title":"药品中n -亚硝胺杂质的控制:推进现行CPCA框架并支持衍生稳健的化合物特异性可接受摄入量。","authors":"David J. Ponting , Andreas Czich , Susan P. Felter , Susanne Glowienke , James S. Harvey , Raphael Nudelman , Joerg Schlingemann , Stephanie Simon , Graham F. Smith , Andrew Teasdale , Robert Thomas","doi":"10.1016/j.yrtph.2024.105762","DOIUrl":null,"url":null,"abstract":"<div><div>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 <em>de minimis</em> 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 (<em>in vitro</em> or <em>in vivo</em>), 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.</div></div>","PeriodicalId":20852,"journal":{"name":"Regulatory Toxicology and Pharmacology","volume":"156 ","pages":"Article 105762"},"PeriodicalIF":3.0000,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Control of N-nitrosamine impurities in drug products: Progressing the current CPCA framework and supporting the derivation of robust compound specific acceptable intakes\",\"authors\":\"David J. Ponting , Andreas Czich , Susan P. Felter , Susanne Glowienke , James S. Harvey , Raphael Nudelman , Joerg Schlingemann , Stephanie Simon , Graham F. Smith , Andrew Teasdale , Robert Thomas\",\"doi\":\"10.1016/j.yrtph.2024.105762\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>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 <em>de minimis</em> 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 (<em>in vitro</em> or <em>in vivo</em>), 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.</div></div>\",\"PeriodicalId\":20852,\"journal\":{\"name\":\"Regulatory Toxicology and Pharmacology\",\"volume\":\"156 \",\"pages\":\"Article 105762\"},\"PeriodicalIF\":3.0000,\"publicationDate\":\"2025-02-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Regulatory Toxicology and Pharmacology\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0273230024002034\",\"RegionNum\":4,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"MEDICINE, LEGAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Regulatory Toxicology and Pharmacology","FirstCategoryId":"3","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0273230024002034","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"MEDICINE, LEGAL","Score":null,"Total":0}
Control of N-nitrosamine impurities in drug products: Progressing the current CPCA framework and supporting the derivation of robust compound specific acceptable intakes
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.
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)