Lockwood Sarah Y, Meisel Jayda E, Monsma Frederick J, Spence Dana M
Department of Chemistry, Michigan State University , East Lansing, Michigan 48824, United States.
Merck Research Laboratories , Kenilworth, New Jersey 07033, United States.
Anal Chem. 2016 Feb 2;88(3):1864-70. doi: 10.1021/acs.analchem.5b04270. Epub 2016 Jan 15.
The process of bringing a drug to market involves many steps, including the preclinical stage, where various properties of the drug candidate molecule are determined. These properties, which include drug absorption, distribution, metabolism, and excretion, are often displayed in a pharmacokinetic (PK) profile. While PK profiles are determined in animal models, in vitro systems that model in vivo processes are available, although each possesses shortcomings. Here, we present a 3D-printed, diffusion-based, and dynamic in vitro PK device. The device contains six flow channels, each with integrated porous membrane-based insert wells. The pores of these membranes enable drugs to freely diffuse back and forth between the flow channels and the inserts, thus enabling both loading and clearance portions of a standard PK curve to be generated. The device is designed to work with 96-well plate technology and consumes single-digit milliliter volumes to generate multiple PK profiles, simultaneously. Generation of PK profiles by use of the device was initially performed with fluorescein as a test molecule. Effects of such parameters as flow rate, loading time, volume in the insert well, and initial concentration of the test molecule were investigated. A prediction model was generated from this data, enabling the user to predict the concentration of the test molecule at any point along the PK profile within a coefficient of variation of ∼ 5%. Depletion of the analyte from the well was characterized and was determined to follow first-order rate kinetics, indicated by statistically equivalent (p > 0.05) depletion half-lives that were independent of the starting concentration. A PK curve for an approved antibiotic, levofloxacin, was generated to show utility beyond the fluorescein test molecule.
将一种药物推向市场的过程涉及许多步骤,包括临床前阶段,在此阶段要确定候选药物分子的各种特性。这些特性包括药物吸收、分布、代谢和排泄,通常在药代动力学(PK)曲线中显示出来。虽然PK曲线是在动物模型中确定的,但也有模拟体内过程的体外系统,不过每种系统都有缺点。在此,我们展示一种3D打印的、基于扩散的动态体外PK装置。该装置包含六个流动通道,每个通道都有基于多孔膜的集成插入孔。这些膜的孔使药物能够在流动通道和插入孔之间自由地来回扩散,从而能够生成标准PK曲线的加载和清除部分。该装置设计用于与96孔板技术配合使用,消耗个位数毫升的体积就能同时生成多个PK曲线。最初使用荧光素作为测试分子,通过该装置生成PK曲线。研究了流速、加载时间、插入孔中的体积以及测试分子的初始浓度等参数的影响。根据这些数据生成了一个预测模型,使用户能够在变异系数约为5%的范围内预测PK曲线上任意点的测试分子浓度。对孔中分析物的消耗进行了表征,确定其遵循一级速率动力学,这由与起始浓度无关的统计学等效(p>0.05)消耗半衰期表明。生成了一种已批准抗生素左氧氟沙星的PK曲线,以显示其在荧光素测试分子之外的实用性。