Ai Xiaoni, Zhao Lin, Lu Yingyuan, Hou Yu, Lv Tian, Jiang Yong, Tu Pengfei, Guo Xiaoyu
State Key Laboratory of Natural and Biomimetic Drugs, School of Pharmaceutical Sciences, Peking University, Beijing 100191, China.
Anal Chem. 2020 Sep 1;92(17):11696-11704. doi: 10.1021/acs.analchem.0c01590. Epub 2020 Aug 20.
Species differences in metabolism may produce failure prediction of drug efficacy/toxicity in humans. Integration of metabolic competence and cellular effect assays in vitro can provide insight into the species differences in metabolism; however, a co-culture platform with features of high throughput, operational simplicity, low sample consumption, and independent layouts is required for potential usage in industrial test settings. Herein, we developed an integrated array chip (IAC) to evaluate the species differences in metabolism through metabolism-induced anticancer bioactivity as a case. The IAC consisted of two functional parts: a micropillar chip for immobilization of liver microsomes and a microwell chip for three-dimensional (3D) tumor cell culture. First, optimized parameters of the micropillar chip for microsomal encapsulation were obtained by cross-shaped protrusions and a 2.5 μL volume of 3D agarose spots. Next, we examined factors influencing metabolism-induced anticancer bioactivity. Feasibility of the IAC was validated by four model prodrugs using image-based bioactivity detection and mass spectrometry (MS)-based metabolite analysis. Finally, a species-specific IAC was used for selection of animal species that best resembles metabolism-induced drug response to humans at throughputs. Overall, the IAC provides a promising co-culture platform for identifying species differences in metabolism and selection of animal models to accelerate drug discovery.
代谢方面的物种差异可能导致对人类药物疗效/毒性的预测失败。体外代谢能力与细胞效应分析的整合能够深入了解代谢方面的物种差异;然而,要在工业测试环境中潜在应用,需要一个具有高通量、操作简单、低样品消耗和独立布局特点的共培养平台。在此,我们开发了一种集成阵列芯片(IAC),以代谢诱导的抗癌生物活性为例来评估代谢方面的物种差异。该IAC由两个功能部分组成:一个用于固定肝微粒体的微柱芯片和一个用于三维(3D)肿瘤细胞培养的微孔芯片。首先,通过十字形突起和2.5 μL体积的3D琼脂糖斑点获得了用于微粒体包封的微柱芯片的优化参数。接下来,我们研究了影响代谢诱导的抗癌生物活性的因素。使用基于图像的生物活性检测和基于质谱(MS)的代谢物分析,通过四种模型前药验证了IAC的可行性。最后,使用物种特异性IAC在高通量条件下选择最类似于人类代谢诱导药物反应的动物物种。总体而言,IAC为识别代谢方面的物种差异和选择动物模型以加速药物发现提供了一个有前景的共培养平台。