靠近管子在芯片上作为预测阴子运输和药物输送器动态的模型
Isy Petit1, Quentin Faucher2, Jean-Sébastien Bernard1
1U1248 Pharmacology & Transplantation, Inserm, Univ. Limoges, Limoges, France.
这项研究开发了一种近道管在芯片上的模型,以改善药物反应预测. 该芯片成功模仿了功能,显示了流动如何影响药物运输体表达和运输.
科学领域:
- 药理学和毒理学 药理学和毒理学
- 生物医学工程 生物医学工程
- 脏生理学 脏生理学
背景情况:
- 药物反应的可变性是一个主要的挑战,因为目前的研究模型的可重复性很差.
- 器官在芯片 (OoC) 提供了一个更生理和以人为本的方法,以提高药物开发中的预测性.
- 了解当地水平的药理动力学对于准确的药物评估至关重要.
研究的目的:
- 为研究药物药理动力学开发和验证近端管状芯片模型.
- 研究生理流动动力学对药物载体表达和功能的影响.
- 评估芯片对研究异生体运输和相互作用的有用性.
主要方法:
- 开发了一种使用RPTEC/TERT1细胞和反平行流的微流体近接管道在芯片上的微流体.
- 分析了药物载体的mRNA表达,通过免疫光和蛋白质表达的细胞极化.
- 监测了原型异生菌的跨细胞运输,包括甲胺,并评估了输送器抑制.
主要成果:
- 流量暴露显著调节了药物膜载体mRNA的表达和增强了细胞两极分化.
- 在动态条件下证明了关键载体 (Na+/K+-ATPase,P-gp,OCT2,MATE1) 的偏好基底和顶端表达.
- 确认甲胺的单向跨细胞运输,流量高于流量,被OCT2抑制剂抑制.
结论:
- 靠近管子在芯片上的模型准确地模仿了脏靠近管子的动态和传送器功能.
- 这种OOC系统对于调查阴离子运输和探索影响药物反应变异性的相互作用具有重要意义.
- 器官芯片技术可以显著提高药物开发中的药理动力学评估的预测性.
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