Suppr超能文献

具有预测首过代谢PK模型的3D肠-肝芯片

3D gut-liver chip with a PK model for prediction of first-pass metabolism.

作者信息

Lee Dong Wook, Ha Sang Keun, Choi Inwook, Sung Jong Hwan

机构信息

Department of Chemical Engineering, Hongik University, Seoul, 121-791, Korea.

Korea Food Research Institute, Seongnam-si, Gyenggi-do, Republic of Korea.

出版信息

Biomed Microdevices. 2017 Nov 7;19(4):100. doi: 10.1007/s10544-017-0242-8.

Abstract

Accurate prediction of first-pass metabolism is essential for improving the time and cost efficiency of drug development process. Here, we have developed a microfluidic gut-liver co-culture chip that aims to reproduce the first-pass metabolism of oral drugs. This chip consists of two separate layers for gut (Caco-2) and liver (HepG2) cell lines, where cells can be co-cultured in both 2D and 3D forms. Both cell lines were maintained well in the chip, verified by confocal microscopy and measurement of hepatic enzyme activity. We investigated the PK profile of paracetamol in the chip, and corresponding PK model was constructed, which was used to predict PK profiles for different chip design parameters. Simulation results implied that a larger absorption surface area and a higher metabolic capacity are required to reproduce the in vivo PK profile of paracetamol more accurately. Our study suggests the possibility of reproducing the human PK profile on a chip, contributing to accurate prediction of pharmacological effect of drugs.

摘要

准确预测首过代谢对于提高药物开发过程的时间和成本效率至关重要。在此,我们开发了一种微流控肠道-肝脏共培养芯片,旨在重现口服药物的首过代谢。该芯片由用于肠道(Caco-2)和肝脏(HepG2)细胞系的两个独立层组成,细胞可以二维和三维形式进行共培养。通过共聚焦显微镜和肝酶活性测量验证,两种细胞系在芯片中均维持良好。我们研究了对乙酰氨基酚在芯片中的药代动力学特征,并构建了相应的药代动力学模型,用于预测不同芯片设计参数的药代动力学特征。模拟结果表明,需要更大的吸收表面积和更高的代谢能力才能更准确地重现对乙酰氨基酚的体内药代动力学特征。我们的研究表明在芯片上重现人体药代动力学特征的可能性,有助于准确预测药物的药理作用。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验