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Drug biokinetic and toxicity assessments in rat and human primary hepatocytes and HepaRG cells within the EU-funded Predict-IV project

机译:欧盟资助预测 - IV项目中大鼠和人原发性肝细胞和肝细胞的药物生物血管生物和毒性评估

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The overall aim of Predict-IV (EU-funded collaborative project #202222) was to develop improved testing strategies for drug safety in the late discovery phase. One major focus was the prediction of hepatotoxicity as liver remains one of the major organ leading to failure in drug development, drug withdrawal and has a poor predictivity from animal experiments. In this overview we describe the use and applicability of the three cell models employed, i.e., primary rat hepatocytes, primary human hepatocytes and the human HepaRG cell line, using four model compounds, chlorpromazine, ibuprofen, cyclosporine A and amiodarone. This overview described the data generated on mode of action of liver toxicity after long-term repeat-dosing. Moreover we have quantified parent compound and its distribution in various in vitro compartments, which allowed us to develop biokinetic models where we could derive real exposure concentrations in vitro. In conclusion, the complex data set enables quantitative measurements that proved the concept that we can define human relevant free and toxic exposure levels in vitro. Further compounds have to be analyzed in a broader concentration range to fully exploit these promising results for improved prediction of hepatotoxicity and hazard assessment for humans. (C) 2015 Elsevier Ltd. All rights reserved.
机译:预测 - IV(欧盟资助的协作项目#202222)的整体目标是在后期发现阶段制定改进的药物安全测试策略。一个重点是预测肝毒性,因为肝脏仍然是导致药物发育失败的主要器官,吸毒和从动物实验中的预测性差。在这一概述中,我们描述了使用的三种细胞模型的使用和适用性,即原发性大鼠肝细胞,一次性人肝细胞和人肝细胞系,使用四种模型化合物,氯丙嗪,布洛芬,环孢菌素A和胺碘酮。该概述描述了长期重复给药后肝毒性作用模式产生的数据。此外,我们已经定量了母体化合物及其在各种体外隔室中的分布,这使我们能够开发在可以在体外产生真正的暴露浓度的生物漏模型。总之,复杂数据集能够进行定量测量,证明了我们可以在体外定义人类相关的自由和有毒暴露水平的概念。必须在更广泛的浓度范围内分析其他化合物以充分利用这些有希望的结果,以改善对人类的肝毒性和危害评估的改善。 (c)2015 Elsevier Ltd.保留所有权利。

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