亲爱的研友该休息了!由于当前在线用户较少,发布求助请尽量完整地填写文献信息,科研通机器人24小时在线,伴您度过漫漫科研夜!身体可是革命的本钱,早点休息,好梦!

Network pharmacology approach and experimental verification of Dan-Shen Decoction in the treatment of ischemic heart disease

汤剂 药理学 中医药 医学 传统医学 系统药理学 药品 病理 替代医学
作者
Difei Gong,Tianyi Yuan,Ranran Wang,Shuchan Sun,Awaguli Dawuti,Shoubao Wang,Guanhua Du,Lian‐Hua Fang
出处
期刊:Pharmaceutical Biology [Taylor & Francis]
卷期号:61 (1): 69-79 被引量:13
标识
DOI:10.1080/13880209.2022.2152059
摘要

Dan-Shen Decoction, which is composed of Danshen, Tanxiang and Sharen, has a good therapeutic effect on ischemic heart disease (IHD). However, systematic research on the exact mechanism of action of Dan-Shen Decoction is still lacking. The anti-IHD effect of Dan-Shen Decoction was examined in this study using a systematic pharmacological method.This study validates the efficacy and explores the potential mechanisms of Dan-Shen Decoction in treating IHD by integrating network pharmacology analyses and experimental verification.The active components, critical targets and potential mechanisms of Dan-Shen Decoction against IHD were predicted by network pharmacology and molecule docking. H9c2 cells were pretreated with various 1 µg/mL Dan-Shen Decoction for 2 h before induction with 1000 µmol/L CoCl2 for 24 h. The cell viability was detected by CCK8, and protein expression was detected by western blots.The network pharmacology approach successfully identified 69 active components in Dan-Shen Decoction, and 122 potential targets involved in the treatment of IHD. The in vitro experiments indicate that the anti-IHD effect of Dan-Shen Decoction may be closely associated with targets such as AKT1 and MAPK1, as well as biological processes such as cell proliferation, inflammatory response, and metabolism.This study not only provides new insights into the mechanism of Dan-Shen Decoction against IHD, but also provides important information and new research ideas for the discovery of anti-IHD compounds from traditional Chinese medicine.

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
15秒前
23秒前
MeiyanZou发布了新的文献求助10
29秒前
30秒前
MeiyanZou完成签到,获得积分10
37秒前
Kao应助Kevin采纳,获得10
54秒前
56秒前
58秒前
1分钟前
科研通AI2S应助科研通管家采纳,获得10
1分钟前
1分钟前
1分钟前
1分钟前
gszy1975完成签到,获得积分10
1分钟前
1分钟前
科研通AI2S应助ASRI12349采纳,获得10
1分钟前
1分钟前
宝铭YUAN完成签到,获得积分10
1分钟前
a36380382完成签到,获得积分10
1分钟前
TIDUS完成签到,获得积分10
2分钟前
TIDUS完成签到,获得积分10
2分钟前
2分钟前
说话的月亮完成签到,获得积分10
2分钟前
2分钟前
2分钟前
2分钟前
Jasper应助北极星采纳,获得10
2分钟前
傻傻的哈密瓜完成签到,获得积分10
2分钟前
2分钟前
2分钟前
Ava应助科研通管家采纳,获得10
3分钟前
3分钟前
3分钟前
00完成签到,获得积分20
3分钟前
3分钟前
北极星发布了新的文献求助10
3分钟前
3分钟前
3分钟前
烟花应助danli采纳,获得28
3分钟前
科研通AI6.3应助简啦啦采纳,获得10
3分钟前
高分求助中
Principles of Economics, 11th Edition 10000
University Physics with Modern Physics, 16th edition 10000
(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
Matrix Methods in Data Mining and Pattern Recognition 510
Social Skills Improvement System-Rating Scales--Chinese Version 500
Dynamische Polarisation von H-1 und B-11 in (CH-3)-3NBH-3 500
CLSI M07 2024 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 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 7247683
求助须知:如何正确求助?哪些是违规求助? 8870694
关于积分的说明 18712095
捐赠科研通 6925862
什么是DOI,文献DOI怎么找? 3197998
关于科研通互助平台的介绍 2373730
邀请新用户注册赠送积分活动 2172844