Impact of Drug Metabolism/Pharmacokinetics and their Relevance Upon Salviabased Drug Discovery

药代动力学 药品 药物代谢 药理学 药物发现 相关性(法律) 临床意义 医学 化学 内科学 生物化学 政治学 法学
作者
Da‐Cheng Hao,Pei‐Gen Xiao
出处
期刊:Current Drug Metabolism [Bentham Science Publishers]
卷期号:18 (12): 1071-1084 被引量:8
标识
DOI:10.2174/1389200218666170531111624
摘要

Background: Salvia is the largest genus of family Lamiaceae and has nearly 1000 species. This genus produces several representative phytometabolites, e.g., diterpenoids and phenolic acids. The traditional uses in ethnomedicine and contemporary experimental studies have corroborated extensive therapeutic efficacy of Salvia plants. Drug metabolism and pharmacokinetic (DMPK) studies of Salvia natural products and their derivatives are indispensable in the optimization of lead compounds. New chemical entity with improved DMPK profiles is preferred. So far, there are few summaries concerning about the DMPK features of Salvia derived medicinal compounds. Tanshinones and Salvianolic acids raise concerns of herb-drug interaction. DMPK studies of various Salvia species, especially Salvia miltiorrhiza, are swiftly increasing. Objective: Here, the latest awareness, as well as the gaps of the DMPK issues in drug development and clinical usage of Salvia compounds, was highlighted. Conclusion: Herb-herb interactions of Salvia-containing traditional Chinese medicine (TCM) medicine pair/formula significantly impact the PK/pharmacodynamic performance of compounds thereof, which may inspire researchers to develop novel herbal formula. While the absorption, distribution, metabolism, elimination and toxicity (ADME/T) of some tanshinones and Salvianolic acids have been outlined, DMPK studies should be extended to more compounds, Salvia species, and Salvia-containing formulations. In the context of systems pharmacology, the DMPK knowledgebase is expected to streamline the Salvia-based drug discovery and development. Keywords: Salvia, phytometabolite, drug metabolism, pharmacokinetics, herb-drug interaction, drug discovery.

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
852应助xxxx采纳,获得30
刚刚
GuorillA发布了新的文献求助30
刚刚
隐形曼青应助聪明的含桃采纳,获得10
1秒前
天天快乐应助路痴采纳,获得10
1秒前
momowang发布了新的文献求助10
2秒前
爆米花应助秀秀采纳,获得10
2秒前
112完成签到,获得积分10
2秒前
3秒前
橘子完成签到 ,获得积分10
4秒前
Loeop发布了新的文献求助10
5秒前
Ava应助热情初瑶采纳,获得10
6秒前
科研通AI6.2应助路痴采纳,获得10
7秒前
哭泣仇天发布了新的文献求助10
7秒前
爆米花应助北望采纳,获得10
8秒前
9秒前
10秒前
苦尽甘来完成签到,获得积分10
10秒前
lll完成签到,获得积分20
10秒前
cili发布了新的文献求助10
11秒前
爆米花应助庾磬采纳,获得10
11秒前
12秒前
12秒前
13秒前
14秒前
14秒前
15秒前
天真南露发布了新的文献求助10
16秒前
17秒前
18秒前
畅行发布了新的文献求助10
18秒前
18秒前
19秒前
热情初瑶发布了新的文献求助10
20秒前
Sicie完成签到,获得积分10
20秒前
科研通AI2S应助哭泣仇天采纳,获得10
21秒前
王木一发布了新的文献求助10
22秒前
北望发布了新的文献求助10
22秒前
agont发布了新的文献求助20
22秒前
李颖完成签到,获得积分20
23秒前
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
Resistance Spot Welding Dataset for Automobile Body-in-White Quality Analysis 748
日本現代怪異事典 副読本 700
悉尼大学博士学位论文,题目:Modelling and testing of one-sided stitched laminated composites. 作者:Kristopher P. Plain 650
Machine Learning for Asset Management and Pricing 600
Numerical analysis of the coupled atmosphere-ocean models (CAO II). II 600
Models for the coupled atmosphere and ocean 600
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 7389706
求助须知:如何正确求助?哪些是违规求助? 8995999
关于积分的说明 19144791
捐赠科研通 7026534
什么是DOI,文献DOI怎么找? 3228700
关于科研通互助平台的介绍 2391013
邀请新用户注册赠送积分活动 2210089