导航微生理系统中的ADME分析挑战:评估用于清除预测的肝芯片模型
Lina Mettler1, Julia Riede2, Felix Huth3
1Pharmacokinetic Sciences, Novartis Biomedical Research, Basel, Switzerland; Department for Microphysiological Systems, Institute of Biomedical Engineering, Eberhard Karls University Tübingen, Tübingen, Germany.
Journal of pharmaceutical sciences
|March 10, 2026
概括
这项研究评估了一个器官在芯片上的模型来预测人类肝脏清除,发现它低于预测的清除高周转率药物. 优化和缩放因素提高了药物开发的预测准确性.
科学领域:
- 药理学 药理学是指药理学的学科.
- 药物开发 药物开发
- 生物技术是生物技术.
背景情况:
- 准确预测人类肝脏清除在临床前药物开发中至关重要.
- 传统的体外模型难以复制肝脏生理学,导致肝细胞功能快速丧失和测试灵敏度降低.
研究的目的:
- 评估商业上可用的器官芯片模型,用于估计人类肝脏清除值.
- 描述系统参数,并确定ADME应用的挑战.
主要方法:
- 一个两部分的微流体器官在芯片上的模型被用于原发性人类肝细胞和肝脏侧状内皮细胞.
- 化合物透性,非特异性结合和蒸发被系统地描述.
- 对于15种不同的药物化合物,估计了人类肝脏清除值.
主要成果:
- 肝芯片模型通常低于预测人类肝脏清除,特别是对于高代谢周转率化合物.
- 对于清除率低至中等的化合物,性能更好.
- 引入特定模型的缩放因子改善了预测,超过79%的预测值在三倍的观察值范围内.
结论:
- 由于特定的设计特征,器官芯片系统对ADME应用提出了挑战.
- 建议使用肝芯片模型改进代谢稳定性评估的优化策略.
- 需要进一步开发以提高这些先进的体外工具的预测准确度.
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