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!

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
SQL完成签到 ,获得积分10
4秒前
6秒前
科研通AI6.4应助东方天奇采纳,获得10
6秒前
kyt完成签到 ,获得积分10
8秒前
沉静的砖头完成签到 ,获得积分10
8秒前
情怀应助HYN采纳,获得10
9秒前
木卫二完成签到 ,获得积分10
10秒前
sink完成签到,获得积分10
11秒前
八九寺发布了新的文献求助10
13秒前
15秒前
17秒前
英姑应助科研通管家采纳,获得10
17秒前
Lucas应助科研通管家采纳,获得10
17秒前
小二郎应助科研通管家采纳,获得10
17秒前
cxw应助科研通管家采纳,获得10
17秒前
17秒前
在水一方应助科研通管家采纳,获得10
17秒前
17秒前
星辰大海应助科研通管家采纳,获得30
18秒前
香蕉觅云应助科研通管家采纳,获得10
18秒前
orixero应助科研通管家采纳,获得10
18秒前
HYN完成签到,获得积分20
18秒前
tinale_huang发布了新的文献求助10
20秒前
HYN发布了新的文献求助10
23秒前
25秒前
共享精神应助聪慧的思雁采纳,获得10
28秒前
32秒前
34秒前
丘比特应助炙热的夜雪采纳,获得10
37秒前
科研通AI6.1应助小猫采纳,获得10
41秒前
41秒前
喬老師完成签到,获得积分10
42秒前
44秒前
LL完成签到,获得积分10
45秒前
45秒前
123131发布了新的文献求助10
50秒前
天天快乐应助不熬夜猫子采纳,获得10
55秒前
小黑哥发布了新的文献求助10
57秒前
57秒前
希望天下0贩的0应助123131采纳,获得10
59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
PowerCascade: A Synthetic Dataset for Cascading Failure Analysis in Power Systems 2000
Various Faces of Animal Metaphor in English and Polish 800
Signals, Systems, and Signal Processing 610
Photodetectors: From Ultraviolet to Infrared 500
Diagnostic Performance of Preoperative Imaging-based Radiomics Models for Predicting Liver Metastases in Colorectal Cancer: A Systematic Review and Meta-analysis 500
On the Dragon Seas, a sailor's adventures in the far east 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 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 6348139
求助须知:如何正确求助?哪些是违规求助? 8163030
关于积分的说明 17172477
捐赠科研通 5404444
什么是DOI,文献DOI怎么找? 2861742
邀请新用户注册赠送积分活动 1839521
关于科研通互助平台的介绍 1688838