Network-pharmacology-based research on protective effects and underlying mechanism of Shuxin decoction against myocardial ischemia/reperfusion injury with diabetes

医学 糖尿病 药物数据库 药理学 中医药 系统药理学 机制(生物学) 生物信息学 药品 内分泌学 病理 生物 认识论 哲学 替代医学
作者
Ling Yang,Jian Yang,Zai-Yuan Zhang,Baowen Qi,Yubo Li,Long Pan,Yao Yang,Xue Wang,Shuo Huang,Jing Huang,Longfu Zhou,Jie Ma,Changqing Jiang,Yonghe Hu,Wenjing Xiao
出处
期刊:World Journal of Diabetes [Baishideng Publishing Group Co (World Journal of Diabetes)]
卷期号:14 (7): 1057-1076 被引量:3
标识
DOI:10.4239/wjd.v14.i7.1057
摘要

Patients with diabetes mellitus are at higher risk of myocardial ischemia/ reperfusion injury (MI/RI). Shuxin decoction (SXT) is a proven recipe modi-fication from the classic herbal formula "Wu-tou-chi-shi-zhi-wan" according to the traditional Chinese medicine theory. It has been successfully used to alleviate secondary MI/RI in patients with diabetes mellitus in the clinical setting. However, the underlying mechanism is still unclear.To further determine the mechanism of SXT in attenuating MI/RI associated with diabetes.This paper presents an ensemble model combining network pharmacology and biology. The Traditional Chinese Medicine System Pharmacology Database was accessed to select key components and potential targets of the SXT. In parallel, therapeutic targets associated with MI/RI in patients with diabetes were screened from various databases including Gene Expression Omnibus, DisGeNet, Genecards, Drugbank, OMIM, and PharmGKB. The potential targets of SXT and the therapeutic targets related to MI/RI in patients with diabetes were intersected and subjected to bioinformatics analysis using the Database for Annotation, Visualization and Integrated Discovery. The major results of bioinformatics analysis were subsequently validated by animal experiments.According to the hypothesis derived from bioinformatics analysis, SXT could possibly ameliorate lipid metabolism disorders and exert anti-apoptotic effects in MI/RI associated with diabetes by reducing oxidized low density lipoprotein (LDL) and inhibiting the advanced glycation end products (AGE)-receptor for AGE (RAGE) signaling pathway. Subsequent animal experiments confirmed the hypothesis. The treatment with a dose of SXT (2.8 g/kg/d) resulted in a reduction in oxidized LDL, AGEs, and RAGE, and regulated the level of blood lipids. Besides, the expression of apoptosis-related proteins such as Bax and cleaved caspase 3 was down-regulated, whereas Bcl-2 expression was up-regulated. The findings indicated that SXT could inhibit myocardial apoptosis and improve cardiac function in MI/RI in diabetic rats.This study indicated the active components and underlying molecular therapeutic mechanisms of SXT in MI/RI with diabetes. Moreover, animal experiments verified that SXT could regulate the level of blood lipids, alleviate cardiomyocyte apoptosis, and improve cardiac function through the AGE-RAGE signaling pathway.
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
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
cai完成签到,获得积分10
刚刚
刚刚
充电宝应助993494543采纳,获得10
刚刚
卖火柴的小男孩完成签到 ,获得积分10
刚刚
刚刚
刚刚
小费发布了新的文献求助50
1秒前
1秒前
NexusExplorer应助lizhiqian2024采纳,获得10
1秒前
1秒前
优雅泡芙完成签到,获得积分10
1秒前
biiii发布了新的文献求助10
1秒前
着急的莫言完成签到,获得积分10
2秒前
2秒前
yoowt发布了新的文献求助10
2秒前
刻苦的安白完成签到,获得积分10
2秒前
情怀应助余小乐采纳,获得10
2秒前
biiii发布了新的文献求助10
3秒前
biiii发布了新的文献求助30
3秒前
大大杰发布了新的文献求助10
3秒前
biiii发布了新的文献求助10
3秒前
biiii发布了新的文献求助10
3秒前
3秒前
biiii发布了新的文献求助10
3秒前
biiii发布了新的文献求助10
3秒前
biiii发布了新的文献求助10
3秒前
火山书痴完成签到 ,获得积分10
4秒前
量子星尘发布了新的文献求助10
4秒前
biiii发布了新的文献求助10
4秒前
biiii发布了新的文献求助10
4秒前
biiii发布了新的文献求助10
4秒前
杨柳完成签到,获得积分10
5秒前
iijjj完成签到,获得积分10
5秒前
盐巴完成签到 ,获得积分20
5秒前
Jane发布了新的文献求助10
5秒前
aaa完成签到 ,获得积分10
5秒前
wenbin发布了新的文献求助10
5秒前
活泼听露发布了新的文献求助20
5秒前
6秒前
无花果应助娇气的涵柏采纳,获得10
6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
Binary Alloy Phase Diagrams, 2nd Edition 8000
Building Quantum Computers 800
Translanguaging in Action in English-Medium Classrooms: A Resource Book for Teachers 700
Natural Product Extraction: Principles and Applications 500
Exosomes Pipeline Insight, 2025 500
Qualitative Data Analysis with NVivo By Jenine Beekhuyzen, Pat Bazeley · 2024 500
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 计算机科学 有机化学 物理 生物化学 纳米技术 复合材料 内科学 化学工程 人工智能 催化作用 遗传学 数学 基因 量子力学 物理化学
热门帖子
关注 科研通微信公众号,转发送积分 5665264
求助须知:如何正确求助?哪些是违规求助? 4875562
关于积分的说明 15112548
捐赠科研通 4824343
什么是DOI,文献DOI怎么找? 2582710
邀请新用户注册赠送积分活动 1536677
关于科研通互助平台的介绍 1495284