Analytical Method Development Strategy for Controlling Two New Nitrosamine Drug Substance Related Impurities (NDSRIs) in a Pharmaceutical Drug Product for Treatment of a Rare Disease

IF 1.3 4区 化学 Q4 BIOCHEMICAL RESEARCH METHODS
Partha Mukherjee, Xin Yao, Nastry Brignol, Madison Chao, Steven Tuske, M. Osman Sheikh, Jon Brudvig, Sheela Sitaraman, Jill M. Weimer, Saroj Ramdas
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Abstract

N-Nitrosamines are raised as having health consequences by the European Medical Agencies ICH M7(R2) guidance on Assessment and control of DNA reactive (mutagenic) impurities in pharmaceuticals to limit potential carcinogenic risk. It has been suggested that nitrosamines have carcinogenic potential, and efforts should be made to control them at acceptable and safe levels in drug substances (DS). The detection of nitrosamine drug substance related impurities (NDSRIs) historically has encountered considerable challenges in establishing compound specific acceptable intake (AI) limits. Often, a default low AI limit of 18 ng/day was assigned to the NDSRIs due to the lack of their toxicology data, prior to the introduction of the current Carcinogenic Potency Categorization Approach (CPCA). Developing analytical methods to quantify NDSRIs posed a challenge due to an extremely low Quantitation Limit (QL), not exceeding 10% of the AI limit based on a conservative Threshold of Toxicological Concern (TTC) approach. This work presents the method development strategy for two complex diastereomeric NDSRIs in miglustat, a recently commercialized rare disease drug. A predictive chemistry for NDSRI formation and organic synthesis earlier was followed by in silico assessments of potential mutagenicity and carcinogenicity. This paper describes the development of a highly sensitive analytical method with a QL of 6.9 ppb for the combined NDSRIs, in alignment with the regulatory recommendation at the time of this work. The validated method was employed for confirmatory testing of miglustat batches for the combined NDSRIs. The results were below QL, and no routine NDSRI testing was required for future drug product (DP) batch release. This novel approach may offer valuable insights into the numerous molecules in development that will now require rigorous nitrosamine assessment.

Abstract Image

某罕见病药品中两种亚硝胺类新原料药相关杂质控制分析方法发展策略
欧洲医疗机构ICH M7(R2)《药品中DNA反应性(致突变)杂质评估和控制指南》提出n -亚硝胺具有健康后果,以限制潜在的致癌风险。有人建议亚硝胺具有致癌潜力,应努力将其控制在原料药(DS)中可接受和安全的水平。历史上,亚硝胺原料药相关杂质(NDSRIs)的检测在建立化合物特定可接受摄入量(AI)限制方面遇到了相当大的挑战。通常,在引入当前的致癌效力分类方法(CPCA)之前,由于缺乏毒理学数据,NDSRIs的默认低AI限值为18 ng/天。由于定量限极低(QL),不超过基于保守的毒理学关注阈值(TTC)方法的AI限制的10%,开发定量NDSRIs的分析方法带来了挑战。这项工作提出了两种复杂的非对映异构体NDSRIs在最近商业化的罕见疾病药物米卢司他中的方法开发策略。对NDSRI的形成和有机合成进行了预测化学,随后对潜在的致突变性和致癌性进行了计算机评估。本文描述了一种高灵敏度分析方法的开发,其QL为6.9 ppb,用于联合NDSRIs,与本工作时的监管建议保持一致。采用验证的方法对联合NDSRIs的米卢司他批次进行验证性检验。结果低于QL,不需要在未来的药品批放行中进行常规NDSRI检测。这种新颖的方法可能为开发中的许多分子提供有价值的见解,这些分子现在需要严格的亚硝胺评估。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Chromatographia
Chromatographia 化学-分析化学
CiteScore
3.40
自引率
5.90%
发文量
103
审稿时长
2.2 months
期刊介绍: Separation sciences, in all their various forms such as chromatography, field-flow fractionation, and electrophoresis, provide some of the most powerful techniques in analytical chemistry and are applied within a number of important application areas, including archaeology, biotechnology, clinical, environmental, food, medical, petroleum, pharmaceutical, polymer and biopolymer research. Beyond serving analytical purposes, separation techniques are also used for preparative and process-scale applications. The scope and power of separation sciences is significantly extended by combination with spectroscopic detection methods (e.g., laser-based approaches, nuclear-magnetic resonance, Raman, chemiluminescence) and particularly, mass spectrometry, to create hyphenated techniques. In addition to exciting new developments in chromatography, such as ultra high-pressure systems, multidimensional separations, and high-temperature approaches, there have also been great advances in hybrid methods combining chromatography and electro-based separations, especially on the micro- and nanoscale. Integrated biological procedures (e.g., enzymatic, immunological, receptor-based assays) can also be part of the overall analytical process.
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