多个器官在芯片上的潜在集成,用于全面预测药物相互作用
Eric W Hsu1, Kai Wang1, Yik Pui Tsang1
1Department of Pharmaceutics, School of Pharmacy, University of Washington, Seattle, WA , USA.
Expert opinion on drug metabolism & toxicology
|February 17, 2026
概括
多器官在芯片 (MOC) 平台通过提供生理相关数据,提供更准确的方法来预测药物相互作用 (DDI). 这些先进的系统补充了现有的方法,提高了药物安全性.
科学领域:
- 药理学 药理学 是一个学科.
- 毒理学 毒理学 毒理学
- 生物技术是生物技术.
背景情况:
- 预测药物相互作用 (DDI) 的传统方法在可靠性上有局限性.
- 需要生理上相关的体外模型来提高DDI预测的准确性.
- 多个器官在芯片 (MOC) 平台为DDI评估提供了有前途的进步.
研究的目的:
- 审查当前DDI预测工作流程及其局限性.
- 为复杂的DDI场景突出MOC平台的优势.
- 讨论MOC与机械建模的整合,以加强DDI分析.
主要方法:
- 分析现有的DDI预测工作流程,包括体外测试和模型.
- 讨论单个器官芯片的吸收,分布,新陈代谢和分泌 (ADME) 能力和毒性参数.
- 探索新兴的MOC平台及其在案例研究中的应用.
主要成果:
- MOC平台为DDI预测提供了更具生理相关性的方法.
- 单器官芯片可以生成对DDI分析至关重要的定量ADME和毒性数据.
- MOCs为预测复杂的DDI提供了独特的优势,并且可以与机械模型集成.
结论:
- MOC系统是为了补充,而不是取代当前的DDI预测方法.
- MOCs的近期价值在于为PBPK建模提供生理学上有基础的参数.
- MOCs的持续发展可能会导致它们在监管DDI风险评估中被用作合格的测试.
关键词:
ADME ADME ADME ADME ADME ADME ADME ADME ADME ADME ADME ADME ADME ADME ADME ADME ADME ADME ADME ADME ADME ADME ADME ADME ADME ADME ADME ADME ADME ADME ADME ADME ADME ADME ADME ADME ADME在IVIVIVIVIVIVIVIVIVIVIVIVIVIVIVIVIVIVIVIVIVIVIVIVIVIVIVIVIVIVIVIVIVIVIVIVIVIVIVIVIVIVIVIVIVIVIVIVIVIVIVIVIVIVIVIVIVIVIVIVIVIVIVIVIVIVIVIVIVIVIVIVIVIVIVIVIVIVIVIVIVIVIVIVIVIVIVIVIVIVIVIVIVIVIVIVIVIVIVIVIVIVIVIVIVIVIVIVIVIVIVIVIVIVIVIVIVIVIVIVIVIVIVIVIVIVIVIVIVIVIVIVIVIVIVIVIVIVIVIVIVIVIVIVIVIVIVIVIVIVIVIVIVIVIVIVIVIVIVIVIVIVIVIVIVIVIVIVIVIVIVIVIVIVIVIVIVIVIVIVIVIVIVIVIVIVIVIVIVIVIVIVIVIVIVIVIVIVIVIVIVIVIVIVIVIVIVIVIVIVIVIV在 PBPK 建模中使用 PBPK 模型.在 PK/PD 建模中.芯片上的机身 - - 芯片上的机身药物 药物相互作用微生理系统的微生理系统基于模型的药物开发信息.多器官在芯片上的多器官器官在芯片上的器官相关概念视频
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