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Technologies for Measuring Pharmacokinetic Profiles
Annual Review of Analytical Chemistry ( IF 5.9 ) Pub Date : 2018-06-12 00:00:00 , DOI: 10.1146/annurev-anchem-061417-125611
A.A. Heller 1, 2 , S.Y. Lockwood 2, 3 , T.M. Janes 1, 2 , D.M. Spence 2, 3
Affiliation  

The creation of a pharmacokinetic (PK) curve, which follows the plasma concentration of an administered drug as a function of time, is a critical aspect of the drug development process and includes such information as the drug's bioavailability, clearance, and elimination half-life. Prior to a drug of interest gaining clearance for use in human clinical trials, research is performed during the preclinical stages to establish drug safety and dosing metrics from data obtained from the PK studies. Both in vivo animal models and in vitro platforms have limitations in predicting human reaction to a drug due to differences in species and associated simplifications, respectively. As a result, in silico experiments using computer simulation have been implemented to accurately predict PK parameters in human studies. This review assesses these three approaches (in vitro, in vivo, and in silico) when establishing PK parameters and evaluates the potential for in silico studies to be the future gold standard of PK preclinical studies.

中文翻译:


测量药代动力学曲线的技术

跟随所用药物的血浆浓度随时间变化的药代动力学(PK)曲线的创建是药物开发过程的关键方面,并包括诸如药物的生物利用度,清除率和消除半衰期之类的信息。 。在获得感兴趣的药物用于人类临床试验的许可之前,需要在临床前阶段进行研究,以便根据从PK研究获得的数据来确定药物安全性和剂量指标。分别由于物种差异和相关的简化,体内动物模型和体外平台在预测人对药物的反应方面均存在局限性。结果,已经实施了使用计算机模拟的计算机模拟实验以准确预测人类研究中的PK参数。

更新日期:2018-06-12
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