已入深夜,您辛苦了!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!祝你早点完成任务,早点休息,好梦!

The chemical composition analysis of Yixin Tongmai Granules using UHPLC-MS/MS and exploration of its potential mechanism in treatment of coronary artery disease based on network pharmacology and molecular docking

医学 中医药 药理学 计算生物学 活性成分 传统医学 生物 替代医学 病理
作者
Hongbin Li,Yuye Zhu
出处
期刊:Medicine [Wolters Kluwer]
卷期号:104 (8): e41620-e41620 被引量:1
标识
DOI:10.1097/md.0000000000041620
摘要

Yixin Tongmai Granules (YTG) is a popular Chinese herbal granules for the treatment of coronary artery disease (CAD), but its molecular pharmacological mechanism is still unclear. This article explores the mechanism of CAD treatment from the perspective of network pharmacology. We analyzed the chemical composition of YTG using UHPLC-MS/MS and identified 131 ingredients. The relative drug content of 33 ingredients exceeded 0.5%. These ingredients were further screened using the SwissADME platform with ADME criteria. Using the HIT database and SwissTargetPrediction platform, high probability targets for these ingredients were generated. Using Venn Diagram, 96 effective targets associated with CAD were identified, involving 14 core ingredients. This study imported these effective targets into the STRING platform and obtained the core targets through network topology analysis: TP53, STAT3, transcription factor Jun, MAPK3, MAPK1, AKT1, SRC, MYC, BCL2, transcription factor p65, TNF, and ESR2. Then enrichment analysis with Metascape platform indicated that, in the system network of YTG in anti-CAD, the principal pathways are “Lipid and Atherosclerosis”, “Pathways in cancer”, and “AGE-RAGE signaling pathway in diabetic complications.” Next, the affinities between the core ingredients and their associated core targets were examined individually through molecular docking. Finally, based on deep mining of PubMed literature, this study investigated the relationship between each core target and CAD, the relationship between each core target and its associated core ingredients, and inferred the main pharmacological ingredients of YTG, namely Tanshinone IIA, Cryptotanshinone, Caffeic acid, Denshensu, Ononin, and Formononetin.

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
tomato发布了新的文献求助10
刚刚
科研通AI6.2的应助被komorebi采纳,获得10
2秒前
跳跃靖发布了新的文献求助10
4秒前
我是老大的应助被现实的鹤采纳,获得10
5秒前
科目三的应助被xiong采纳,获得10
7秒前
7秒前
拉长的傲珊完成签到,获得积分10
8秒前
爱卿5271完成签到,获得积分10
9秒前
兔兔美完成签到 ,获得积分10
11秒前
牛初辰完成签到 ,获得积分10
11秒前
11秒前
碧蓝飞雪发布了新的文献求助20
12秒前
12秒前
14秒前
simba发布了新的文献求助10
16秒前
Donbme1发布了新的文献求助10
18秒前
18秒前
完美世界的应助被simba采纳,获得10
20秒前
心灵美懿轩完成签到,获得积分10
24秒前
zz完成签到,获得积分10
25秒前
伶俐浩轩发布了新的文献求助10
25秒前
26秒前
cindy完成签到,获得积分10
26秒前
不筝完成签到,获得积分20
28秒前
30秒前
30秒前
小蘑菇的应助被舒适的文博采纳,获得10
30秒前
现实的鹤发布了新的文献求助10
32秒前
ChiariRay完成签到,获得积分10
33秒前
电量过低完成签到 ,获得积分10
33秒前
simba发布了新的文献求助10
35秒前
ChiariRay发布了新的文献求助10
36秒前
羽羽完成签到 ,获得积分10
37秒前
深情安青的应助被simba采纳,获得10
41秒前
科研通AI2S的应助被科研通管家采纳,获得10
44秒前
完美世界的应助被科研通管家采纳,获得10
44秒前
45秒前
舒心的荟完成签到 ,获得积分10
46秒前
晨曦完成签到 ,获得积分10
48秒前
文艺的纸鹤完成签到,获得积分10
49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
Aspects of Post-SPE Phonology 2000
Nanocomposite Removal of Pesticides from Wastewater 1000
Rosenblum, Global Change Biology 800
Final Report for the 2-D Test of Model 901 Rotor and Wing Airfoils (BSWT 592) 528
Berberine regulates the TLR4 signaling pathway to suppress hypoxia-induced proliferation and migration of pulmonary arterial smooth muscle cells 520
Organizational Behavior 510
热门求助领域 (近24小时)
化学 材料科学 医学 生物 计算机科学 工程类 纳米技术 物理 有机化学 化学工程 内科学 生物化学 复合材料 催化作用 心理学 细胞生物学 无机化学 电极 光电子学 人工智能
热门帖子
关注 科研通微信公众号,转发送积分 7893560
求助须知:如何正确求助?哪些是违规求助? 9403631
关于积分的说明 20858608
捐赠科研通 7496835
什么是DOI,文献DOI怎么找? 3358755
关于科研通互助平台的介绍 2497075
邀请新用户注册赠送积分活动 2387841