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!

Exploration of the active components and pharmacological mechanism of Compound Longmaining for the treatment of myocardial infarction

作用机理 医学 对接(动物) 免疫系统 药理学 化学 计算生物学 生物 生物化学 免疫学 体外 护理部
作者
Jia Li,Xiao Wang,Diaodiao Bu,Junbo Zou,Shining Xun,Yao Wang,Yanzuo Jia,Shangshang Yu,Wenfei Wang,Jiahui Zheng,Jiejun Hou,Xiaofei Zhang,Changli Wang
出处
期刊:Frontiers in bioscience [IMR Press]
卷期号:26 (10): 813-813 被引量:1
标识
DOI:10.52586/4990
摘要

Background: Myocardial Infarction (MI) is a cardiovascular disease with a high morbidity and mortality rate. While MI is currently treated with pharmaceuticals, there is a need for new treatment options: compound Chinese medicines may have unique advantages for the treatment of MI. Methods: A combination of network pharmacology and experimental verification is used to identify the ingredients and mechanism of Compound Longmaining (CLMN) for treating MI. Network pharmacology combined with the gene expression omnibus (GEO) chip method is used to analyze the primary pathway of CLMN for treating MI, and then molecular docking is used to verify the affinity of key target proteins in the primary pathway that bind to active molecules. The major active compounds of CLMN are screened using the docking score results. The CIBERSORT algorithm is used to evaluate immune cell infiltration in MI, and high performance liquid chromatography (HPLC) is used to control the quality of the components. Finally, a mouse model is established to verify the molecular mechanism of CLMN for treating MI using hematoxlyn eosin (HE) staining and immunohistochemistry. Results: By utilizing network pharmacology combined with molecular docking, the mechanism of action of CLMN for the treatment of MI was found to possibly be related to the ingredients of puerarin, daidzein, ferulic acid, chrysin, and galangin. These molecules regulate the NF-Kappa B signaling pathway and the expression of RELA, IKBKB, NKBIA, and other targets. The CIBERSORT algorithm and ggplot2 package analysis were used to distinguish the immune cells, such as neutrophils, macrophages, and T cells, that play a key role in the development of MI. HPLC controlled the quality of the screened medicinal ingredients. An immunohistochemical analysis showed that the TNF-α and TRAF-2 expression levels in MI of the CLMN-treated mice were decreased, while IkBα was increased. HE staining showed CLMN reduced inflammation in mouse cardiomyocytes and decreased fibrosis. Conclusions: This study showed that CLMN treatment of MI is a process that involves multi-components, multi-targets and multi-pathways, and the established multi-index component content measurement of the CLMN decoction can be used for quality control of CLMN.
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
丘比特应助Tzzl0226采纳,获得10
6秒前
7秒前
健康的小鸽子完成签到 ,获得积分10
8秒前
baolong完成签到,获得积分10
12秒前
ASRI12349完成签到,获得积分10
12秒前
小二郎应助Tzzl0226采纳,获得10
14秒前
baolong发布了新的文献求助10
16秒前
黄小弟搞不懂压气机完成签到,获得积分10
21秒前
zzzz应助Tzzl0226采纳,获得10
25秒前
李禹晗完成签到,获得积分10
33秒前
36秒前
周家岳发布了新的文献求助10
40秒前
42秒前
Smithjiang完成签到,获得积分10
47秒前
年轻的孤晴完成签到 ,获得积分10
52秒前
hsj完成签到,获得积分10
56秒前
1分钟前
Orange应助Tzzl0226采纳,获得10
1分钟前
花火易逝完成签到,获得积分10
1分钟前
乐乐应助菠萝吹雪采纳,获得10
1分钟前
hhhh发布了新的文献求助10
1分钟前
田様应助Tzzl0226采纳,获得30
1分钟前
1分钟前
1分钟前
菠萝吹雪发布了新的文献求助10
1分钟前
瘦瘦发布了新的文献求助10
1分钟前
1分钟前
无花果应助Tzzl0226采纳,获得10
1分钟前
大神完成签到,获得积分0
1分钟前
传奇3应助hhhh采纳,获得10
1分钟前
Carmen完成签到 ,获得积分10
1分钟前
1分钟前
张张发布了新的文献求助10
1分钟前
FashionBoy应助El采纳,获得10
1分钟前
英俊的铭应助Tzzl0226采纳,获得10
1分钟前
为医消得人憔悴完成签到,获得积分10
1分钟前
洁净缘分发布了新的文献求助10
1分钟前
TXZ06完成签到,获得积分10
1分钟前
汉堡包应助Tzzl0226采纳,获得10
1分钟前
吃了就会胖完成签到 ,获得积分10
1分钟前
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
PowerCascade: A Synthetic Dataset for Cascading Failure Analysis in Power Systems 2000
Picture this! Including first nations fiction picture books in school library collections 1000
Signals, Systems, and Signal Processing 610
Unlocking Chemical Thinking: Reimagining Chemistry Teaching and Learning 555
Photodetectors: From Ultraviolet to Infrared 500
Cancer Targets: Novel Therapies and Emerging Research Directions (Part 1) 400
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 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6358716
求助须知:如何正确求助?哪些是违规求助? 8172853
关于积分的说明 17210778
捐赠科研通 5413715
什么是DOI,文献DOI怎么找? 2865251
邀请新用户注册赠送积分活动 1842695
关于科研通互助平台的介绍 1690770