基于生理动力学模型的内源性n -亚硝胺生物可利用浓度估算。

ALTEX Pub Date : 2025-06-23 DOI:10.14573/altex.2412061
Max Spaenig, Matthias Vogel, Tanja Hansen, Leroy Elenschneider, Anke Londenberg, Rhys Whomsley, Uwe Deppenmeier, Sylvia E Escher
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引用次数: 0

摘要

n -亚硝胺(NAs)是一种潜在的致癌有机化合物,目前根据致癌效力分类方法(CPCA)分类模式,亚硝胺类原料药相关杂质(NDSRIs)的分类阈值在低纳克范围内。除了直接接触外,NDSRIs还可以在摄入仲胺后在人体体内内源性形成。最近的研究表明,依那普利、心得安和氟西汀在模拟胃部酸性环境的条件下形成NDSRIs。MUTAMIND项目调查了这种内源性NA水平是否会导致血浆或肝脏浓度符合或超过基于当前CPCA的可接受摄入量限制。采用肠道通透性和肝脏清除率等化合物特异性体外ADME参数建立了基于生理的通用动力学(PBK)模型。预测结果与数据丰富的原料药的体内ADME数据具有良好的相关性,因此将相同的PBK方法应用于相应的NDSRIs。虽然对心得安的建模并不显著,但在胃条件下观察到的n -亚硝基萘普利最高NA转化率导致血浆和肝脏中的NA水平分别超过CPCA阈值的800倍和400倍。氟西汀的长半衰期表明长期接触有亚硝胺生物积累的危险。这些发现表明,PBK模型可能是一种有价值的工具,作为证据权重方法的一部分,有助于药物中亚硝胺杂质的风险评估。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Estimation of bioavailable concentration of endogenously formed N-nitrosamines by physiologically based kinetic modelling.

N-nitrosamines (NAs) are potentially carcinogenic organic compounds, and nitrosamine drug substance-related impurities (NDSRIs) are currently regulated with class-specific thresholds in the low nanogram range according to the carcinogenic potency categorization approach (CPCA) classification schema. Beyond direct exposure, NDSRIs can form endogenously in the human organism after ingestion of secondary amines. As recently shown, enalapril, propranolol, and fluoxetine form NDSRIs under conditions mimicking the acidic environment in the stomach. The MUTAMIND project investigated whether such endogenously formed NA levels lead to plasma or liver concentrations which align with or exceed the acceptable intake limits based on the current CPCA. A generic physiologically based kinetic (PBK) model was built using compound-specific in vitro ADME parameters such as intestinal permeability and hepatic clearance. The predictions correlated well with measured in vivo ADME data for the data-rich APIs, so the same PBK approach was applied to the corresponding NDSRIs. While the modelling of propranolol was unremarkable, the highest NA conversion rate observed for N-nitrosoenalapril under gastric conditions resulted in plasma and liver levels exceeding those derived from the CPCA threshold by a factor of about 800 and 400, respectively. The long half-life of fluoxetine suggests a risk of bioaccumulation of its nitrosamine with chronic exposure. These findings indicate that PBK modelling could be a valuable tool as part of a weight of evidence approach in contributing to the risk assessment of nitrosamine impurities in pharmaceuticals.

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