Integrated Metabolomics and Network Pharmacology to Reveal the Mechanisms of Guizhi-Fuling Treatment for Myocardial Ischemia

心肌缺血 代谢组学 缺血 药理学 医学 心脏病学 生物信息学 生物
作者
Ye Yan,Bailu Duan,Zhenxiang Zhou,Lintao Han,Fang Huang,Jingjing Li,Qiong Wang,Xiangfa Zeng,Xiaoming Yu
出处
期刊:Social Science Research Network [Social Science Electronic Publishing]
标识
DOI:10.2139/ssrn.3984157
摘要

Myocardial ischemia is a cardio-physiological condition caused by a decrease in blood perfusion to the heart, resulting in reduced oxygen supply and abnormal myocardial energy metabolism. Guizhi-Fuling (GZFL)is effective in treating Myocardial ischemia. However, its mechanism of action remains unclear and requires further exploration. we hope to reveal the mechanisms of GZFL treating Myocardial ischemia by integrating metabolomics and network pharmacology. In this study, myocardial metabolomic analysis was first performed using GC-MS to discover the potential mechanism of action of GZFL on myocardial ischemia. Then, network pharmacology was used to analyze key pathways and construct a pathway-core target network. Molecular docking was used to validate core targets in network pharmacological signaling pathways. Finally, western blots were used to verify core targets of metabolomics and network pharmacology integrated pathways as well as key targets in signaling pathways. As a result, We identified 22 important biomarkers of GZFL for the treatment of myocardial ischemia. Most of these metabolites were restored by modulation after GZFL treatment. Based on the network pharmacology, we selected the top 50 core targets using degree centrality (DC). The further comprehensive analysis focused on 3 key targets, including Tyrosine hydroxylase (TH), myeloperoxidase (MPO), and phosphatidylinositol 3-kinases (PIK3CA), and their associated metabolites and pathways. Compared with the model group, the protein expression levels of TH, MPO and PIK3CA were decreased in GZFL. Therefore, the mechanism of GZFL for treating myocardial ischemia may be to inhibit myocardial inflammatory factors, reduce myocardial inflammation, and restore endothelial function, while regulating norepinephrine release and uric acid concentration.
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
更新
PDF的下载单位、IP信息已删除 (2025-6-4)

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
苜蓿发布了新的文献求助10
刚刚
3秒前
GGbound发布了新的文献求助10
4秒前
Jackie完成签到,获得积分10
5秒前
醉熏的鑫发布了新的文献求助10
5秒前
ZAL完成签到,获得积分10
7秒前
科研通AI2S应助weatsun采纳,获得10
7秒前
科研猫猫完成签到,获得积分10
7秒前
秀丽莛发布了新的文献求助10
9秒前
思源应助蒋丞采纳,获得10
10秒前
科研通AI5应助扶桑采纳,获得10
11秒前
13秒前
ding应助秀丽莛采纳,获得10
17秒前
CodeCraft应助淡定海亦采纳,获得10
17秒前
hxh完成签到 ,获得积分10
18秒前
Ava应助解语花采纳,获得30
18秒前
裴向雪发布了新的文献求助10
20秒前
充电宝应助醉熏的鑫采纳,获得10
21秒前
lucky完成签到,获得积分10
21秒前
25秒前
27秒前
莫离发布了新的文献求助10
29秒前
29秒前
xuxu96完成签到,获得积分10
30秒前
科研通AI5应助Fengliguantou采纳,获得10
30秒前
Rondab应助裴向雪采纳,获得30
32秒前
32秒前
高铭泽发布了新的文献求助10
32秒前
淡定海亦发布了新的文献求助10
33秒前
小陈要发SCI完成签到 ,获得积分10
34秒前
bsf123完成签到,获得积分10
35秒前
35秒前
jinjin发布了新的文献求助10
37秒前
田様应助粉色棉毛裤采纳,获得10
37秒前
Ning发布了新的文献求助10
39秒前
蒋丞发布了新的文献求助10
42秒前
42秒前
微笑小天鹅完成签到,获得积分10
42秒前
43秒前
粉色棉毛裤完成签到,获得积分10
46秒前
高分求助中
The Mother of All Tableaux: Order, Equivalence, and Geometry in the Large-scale Structure of Optimality Theory 3000
A new approach to the extrapolation of accelerated life test data 1000
Indomethacinのヒトにおける経皮吸収 400
基于可调谐半导体激光吸收光谱技术泄漏气体检测系统的研究 370
Phylogenetic study of the order Polydesmida (Myriapoda: Diplopoda) 370
Robot-supported joining of reinforcement textiles with one-sided sewing heads 320
Aktuelle Entwicklungen in der linguistischen Forschung 300
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 遗传学 基因 物理化学 催化作用 冶金 细胞生物学 免疫学
热门帖子
关注 科研通微信公众号,转发送积分 3993151
求助须知:如何正确求助?哪些是违规求助? 3534027
关于积分的说明 11264447
捐赠科研通 3273745
什么是DOI,文献DOI怎么找? 1806151
邀请新用户注册赠送积分活动 883016
科研通“疑难数据库(出版商)”最低求助积分说明 809652