Membrane transporters in drug development

药品 药物开发 运输机 药理学 医学 药物发现 化学 计算生物学 生物 生物化学 基因
作者
Kathleen M. Giacomini,Shiew‐Mei Huang,Donald Tweedie,Leslie Z. Benet,Kim L. R. Brouwer,Xiaoyan Chu,Amber Dahlin,Raymond Evers,Volker Fischer,Kathleen M. Hillgren,Keith Hoffmaster,Toshihisa Ishikawa,Dietrich Keppler,Richard B. Kim,Caroline A. Lee,Mikko Niemi,Joseph W. Polli,Yuicchi Sugiyama,Peter W. Swaan,Joseph A. Ware
出处
期刊:Nature Reviews Drug Discovery [Nature Portfolio]
卷期号:9 (3): 215-236 被引量:3300
标识
DOI:10.1038/nrd3028
摘要

Membrane transporters play an important part in determining the pharmacokinetics of many drugs. Here, the International Transporter Consortium discusses key transporters with a role in drug absorption and disposition, and provides guidance for clinical drug interaction studies. Membrane transporters can be major determinants of the pharmacokinetic, safety and efficacy profiles of drugs. This presents several key questions for drug development, including which transporters are clinically important in drug absorption and disposition, and which in vitro methods are suitable for studying drug interactions with these transporters. In addition, what criteria should trigger follow-up clinical studies, and which clinical studies should be conducted if needed. In this article, we provide the recommendations of the International Transporter Consortium on these issues, and present decision trees that are intended to help guide clinical studies on the currently recognized most important drug transporter interactions. The recommendations are generally intended to support clinical development and filing of a new drug application. Overall, it is advised that the timing of transporter investigations should be driven by efficacy, safety and clinical trial enrolment questions (for example, exclusion and inclusion criteria), as well as a need for further understanding of the absorption, distribution, metabolism and excretion properties of the drug molecule, and information required for drug labelling.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
lalla发布了新的文献求助10
刚刚
1秒前
开心叫兽发布了新的文献求助10
1秒前
大力的灵雁应助stefan采纳,获得10
3秒前
老大黎明发布了新的文献求助10
4秒前
lilili233完成签到,获得积分10
5秒前
代秋发布了新的文献求助10
5秒前
111111发布了新的文献求助10
6秒前
NexusExplorer应助开心叫兽采纳,获得10
6秒前
7秒前
7秒前
Fushuai完成签到,获得积分10
8秒前
8秒前
炙热的白风完成签到 ,获得积分10
9秒前
AbOO完成签到,获得积分10
9秒前
10秒前
10秒前
GR完成签到,获得积分10
10秒前
11秒前
11秒前
hmhu完成签到,获得积分10
11秒前
狸谎发布了新的文献求助10
12秒前
12秒前
13秒前
深情安青应助LXL采纳,获得10
14秒前
橙留香发布了新的文献求助10
14秒前
14秒前
科目三应助kio采纳,获得10
14秒前
开心叫兽完成签到,获得积分20
14秒前
hmhu发布了新的文献求助10
15秒前
打打应助ruhe采纳,获得10
16秒前
17秒前
狂野白梅发布了新的文献求助10
17秒前
情怀应助Petermyc采纳,获得10
18秒前
18秒前
Lucas应助明朗采纳,获得10
18秒前
李希完成签到,获得积分10
20秒前
SCH_zhu完成签到,获得积分10
20秒前
21秒前
baifeng发布了新的文献求助10
23秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Picture this! Including first nations fiction picture books in school library collections 2000
The Cambridge History of China: Volume 4, Sui and T'ang China, 589–906 AD, Part Two 1500
Cowries - A Guide to the Gastropod Family Cypraeidae 1200
ON THE THEORY OF BIRATIONAL BLOWING-UP 666
Signals, Systems, and Signal Processing 610
Chemistry and Physics of Carbon Volume 15 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6388633
求助须知:如何正确求助?哪些是违规求助? 8202922
关于积分的说明 17356515
捐赠科研通 5442155
什么是DOI,文献DOI怎么找? 2877889
邀请新用户注册赠送积分活动 1854274
关于科研通互助平台的介绍 1697825