A Universal Strategy for Evaluation and Quantification of Potential Genotoxic Impurities of Hydrazine Derivatives in Isoniazid Injection

IF 2.8 3区 工程技术 Q2 CHEMISTRY, ANALYTICAL
Changhong Li, Jingjing Liu, Piao Liu, Ting Zhou, Guo Yin, Jun Chen, Ran Liu
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Abstract

Isoniazid is an irreplaceable first-line anti-tuberculosis drug. Its synthesis requires hydrazine as a starting material, which is classified as a Class 2 genotoxic impurity according to the ICH M7 guideline. Consequently, there is a risk of introducing potential genotoxic impurities (PGIs) containing hydrazine-related alerting structural during production. This study employed a systematic approach to assess the risks of PGIs in isoniazid and developed a novel LC-MS/MS method for accurate control and quantification of these impurities. First, candidate impurities were preliminarily predicted using quantitative structure–activity relationship (QSAR) systems based on expert rule and statistics. Subsequently, acceptable impurity limits were established based on the prediction results. Finally, an LC-MS/MS method was developed to quantify the selected PGIs. The results indicated that the impurities were classified as Class 3 (3,5-bis(4-pyridyl)-4-amino-1,2,4-triazole), Class 4 (benzohydrazide, picolinohydrazide, and nicotinohydrazide), and Class 5 (3,6-di(4-pyridyl)-1,4-dihydro-1,2,4,5-tetrazine). According to the ICH Q3B guidelines and the threshold of toxicological concern (TTC) based on the duration of administration, the limits of Class 4 and 5 impurities were set at 0.1%, and the limit of Class 3 impurities was set at 0.0066%. The established method demonstrated excellent linearity (r > 0.999) within the range of 0.2-25 ng/mL. And good recoveries were observed in the range of 88.1%–113.0%. The method was successfully applied to quantify impurities in 77 batches of isoniazid injections, all of which complied with the established acceptance limits. This universal strategy enhances quality control of isoniazid formulations, ensuring clinical safety through robust impurity assessment and validated analytical methodology.

异烟肼注射液中肼衍生物潜在遗传毒性杂质评价与定量的通用策略
异烟肼是不可替代的一线抗结核药物。它的合成需要肼作为起始原料,根据ICH M7指南,肼被归类为2类遗传毒性杂质。因此,在生产过程中存在引入含有肼相关报警结构的潜在遗传毒性杂质(pgi)的风险。本研究采用了一种系统的方法来评估异烟肼中pgi的风险,并开发了一种新的LC-MS/MS方法来精确控制和定量这些杂质。首先,利用基于专家规则和统计的定量构效关系(QSAR)系统对候选杂质进行初步预测;随后,根据预测结果建立可接受的杂质限。最后,采用LC-MS/MS方法对所选pgi进行定量分析。结果表明,杂质分为3类(3,5-双(4-吡啶基)-4-氨基-1,2,4-三唑)、4类(苯并肼、吡啶酰肼、烟酰肼)和5类(3,6-二(4-吡啶基)-1,4-二氢-1,2,4,5-四嗪)。根据ICH Q3B指南和基于给药时间的毒理学关注阈值(TTC), 4类和5类杂质的限量设定为0.1%,3类杂质的限量设定为0.0066%。所建立的方法具有良好的线性(r >;0.999),在0.2 ~ 25 ng/mL范围内。加样回收率为88.1% ~ 113.0%。应用该方法对77批异烟肼注射液的杂质进行了定量,均符合规定的验收限度。这一通用策略加强了异烟肼制剂的质量控制,通过稳健的杂质评估和验证的分析方法确保临床安全性。
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
Journal of separation science
Journal of separation science 化学-分析化学
CiteScore
6.30
自引率
16.10%
发文量
408
审稿时长
1.8 months
期刊介绍: The Journal of Separation Science (JSS) is the most comprehensive source in separation science, since it covers all areas of chromatographic and electrophoretic separation methods in theory and practice, both in the analytical and in the preparative mode, solid phase extraction, sample preparation, and related techniques. Manuscripts on methodological or instrumental developments, including detection aspects, in particular mass spectrometry, as well as on innovative applications will also be published. Manuscripts on hyphenation, automation, and miniaturization are particularly welcome. Pre- and post-separation facets of a total analysis may be covered as well as the underlying logic of the development or application of a method.
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