Transporter-mediated drug–drug interactions: advancement in models, analytical tools, and regulatory perspective

运输机 药品 药理学 药物发现 流出 药物代谢 药物相互作用 生物信息学 ATP结合盒运输机 药物开发 生物 计算生物学 生物信息学 生物化学 基因
作者
Aishwarya Jala,Srikanth Ponneganti,Devi Swetha Vishnubhatla,Gayathri Bhuvanam,P. Mekala,Bincy Varghese,P. Radhakrishnanand,Ramu Adela,Upadhyayula Suryanarayana Murty,Roshan M. Borkar
出处
期刊:Drug Metabolism Reviews [Taylor & Francis]
卷期号:53 (3): 285-320 被引量:10
标识
DOI:10.1080/03602532.2021.1928687
摘要

Drug-drug interactions mediated by transporters are a serious clinical concern hence a tremendous amount of work has been done on the characterization of the transporter-mediated proteins in humans and animals. The underlying mechanism for the transporter-mediated drug-drug interaction is the induction or inhibition of the transporter which is involved in the cellular uptake and efflux of drugs. Transporter of the brain, liver, kidney, and intestine are major determinants that alter the absorption, distribution, metabolism, excretion profile of drugs, and considerably influence the pharmacokinetic profile of drugs. As a consequence, transporter proteins may affect the therapeutic activity and safety of drugs. However, mounting evidence suggests that many drugs change the activity and/or expression of the transporter protein. Accordingly, evaluation of drug interaction during the drug development process is an integral part of risk assessment and regulatory requirements. Therefore, this review will highlight the clinical significance of the transporter, their role in disease, possible cause underlying the drug-drug interactions using analytical tools, and update on the regulatory requirement. The recent in-silico approaches which emphasize the advancement in the discovery of drug-drug interactions are also highlighted in this review. Besides, we discuss several endogenous biomarkers that have shown to act as substrates for many transporters, which could be potent determinants to find the drug-drug interactions mediated by transporters. Transporter-mediated drug-drug interactions are taken into consideration in the drug approval process therefore we also provided the extrapolated decision trees from in-vitro to in-vivo, which may trigger the follow-up to clinical studies.

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
修仙中应助热情的坤采纳,获得10
刚刚
CodeCraft应助落寞的楼房采纳,获得10
刚刚
哈哈123完成签到,获得积分10
1秒前
KeWang完成签到 ,获得积分20
2秒前
hilaral发布了新的文献求助10
2秒前
clvv完成签到,获得积分10
2秒前
KarryLiu完成签到,获得积分10
3秒前
朴实的飞机完成签到,获得积分10
3秒前
长情正豪完成签到,获得积分10
4秒前
科研通AI6.2应助瘦瘦采纳,获得10
5秒前
欢呼亦绿完成签到,获得积分10
6秒前
包包琪完成签到 ,获得积分10
6秒前
hw完成签到 ,获得积分10
6秒前
7秒前
此生不换完成签到,获得积分10
7秒前
yh完成签到,获得积分10
7秒前
轻松的博完成签到,获得积分10
7秒前
Szw666发布了新的文献求助10
8秒前
科研通AI6.4应助若鱼采纳,获得30
8秒前
8秒前
8秒前
9秒前
penghuiye完成签到,获得积分10
9秒前
科研花完成签到 ,获得积分10
10秒前
10秒前
刘刘刘完成签到,获得积分10
11秒前
mxdckd发布了新的文献求助10
11秒前
进化中完成签到,获得积分10
11秒前
12秒前
13秒前
lisiran发布了新的文献求助10
14秒前
caochuang发布了新的文献求助10
14秒前
哇嘎发布了新的文献求助10
15秒前
Gys072519完成签到,获得积分10
15秒前
容彬霞完成签到,获得积分10
15秒前
杨乐多发布了新的文献求助10
15秒前
111发布了新的文献求助10
16秒前
完美世界应助且行采纳,获得10
16秒前
sunny完成签到,获得积分20
16秒前
深情安青应助Bloom采纳,获得10
17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
Effects of Two Weeks of Red Light Therapy on Choroidal Thickness and Axial Length in Young Adults 700
Management and the Arts 510
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
The Neuroscience of Language 400
Common Foundations of American and East Asian Modernisation: From Alexander Hamilton to Junichero Koizumi 400
Too Much of Two Good Things: Investment Protection and Environmental Protection in International Law 260
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 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7673711
求助须知:如何正确求助?哪些是违规求助? 9240307
关于积分的说明 19905448
捐赠科研通 7243481
什么是DOI,文献DOI怎么找? 3285652
关于科研通互助平台的介绍 2443801
邀请新用户注册赠送积分活动 2287943