清晨好,您是今天最早来到科研通的研友!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,伴您科研之路漫漫前行!

Integrated chemical composition, transcriptomics, and network pharmacology to reveal the mechanism of Jia-Wei-Si-Miao-Yong-An Decoction in ACS model rats

汤剂 传统医学 药理学 化学 机制(生物学) 作文(语言) 医学 语言学 认识论 哲学
作者
Ning Zhao,Mengya Dang,Yangyang Sun,Yan Ma,Yanan Xia,Qizhong Jin,Xiaoyun Yang,Yuan Gao,Jingqing Hu,Dong Bai
出处
期刊:Phytomedicine [Elsevier BV]
卷期号:145: 157027-157027 被引量:5
标识
DOI:10.1016/j.phymed.2025.157027
摘要

BACKGROUND: Acute Coronary Syndrome (ACS), as the most critical pathological type of coronary atherosclerotic heart disease, has a high morbidity and lethality, and the long-term treatment of modern medicine is still faced with the problems of restenosis, microcirculation obstruction and drug resistance. The addition of Traditional Chinese Medicine provides new ideas for ACS treatment. Our previous study found that Jia-Wei-Si-Miao-Yong-An decoction (HJ11) can improve the inflammatory response and cardiac function in ACS. However, its mechanism of action needs to be studied in depth. PURPOSE: This study aimed to combine transcriptomics and network pharmacology based on the study of HJ11 components, elucidate the mechanism of HJ11 in ameliorating ACS by experimental validation. METHODS: UPLC-QE-Orbitrap-MS was utilized for the preliminary identification of HJ11 decoction and blood-entry components. And based on the results of the compositional studies, combining with the transcriptomic results of ACS rat model, network pharmacological analysis was performed to identify the potential targets of HJ11 action. The ACS rat model and LPS-induced endothelial cells were further used for experimental validation using RT-PCR, Western blot techniques, immunofluorescence and other techniques. RESULTS: UPLC-QE-Orbitrap-MS analysis preliminarily identified 212 chemical constituents of HJ11 decoction, of which 49 were consistent with the blood-entered constituents, including organic acids, flavonoids, and amino acids. Combining the compositional studies and transcriptomics results with network pharmacology analysis, HJ11 may ameliorate ACS through various mechanisms (including inflammatory response, oxidative stress, etc.). We verified the mechanisms using rats and endothelial cells and found that HJ11 modulates eNOS levels; reduces inflammation-induced oxidative stress; reduces ADMA levels, which are closely related to inflammation, oxidative stress, and endothelial function and modulates DDAH/ADMA/NO pathway. CONCLUSION: HJ11 exhibits a comprehensive multi-target mechanism against ACS, acting through the DDAH/ADMA/NO pathway, reducing inflammation, and attenuating oxidative stress. These findings highlight HJ11 as a promising, holistic therapeutic strategy for ACS, illustrating the potential of Chinese herbal formulas in addressing complex cardiovascular diseases.
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
林海完成签到 ,获得积分10
6秒前
Kao应助科研通管家采纳,获得10
16秒前
Kao应助科研通管家采纳,获得10
16秒前
21秒前
22秒前
绘空事发布了新的文献求助10
25秒前
59秒前
绘空事发布了新的文献求助10
1分钟前
1分钟前
Cbbaby完成签到,获得积分10
1分钟前
1分钟前
共享精神应助冷静不正采纳,获得10
1分钟前
勤qin完成签到 ,获得积分10
1分钟前
季生完成签到 ,获得积分10
1分钟前
绘空事发布了新的文献求助10
2分钟前
Kao应助科研通管家采纳,获得10
2分钟前
poki发布了新的文献求助30
2分钟前
poki完成签到,获得积分10
3分钟前
3分钟前
Jason发布了新的文献求助10
3分钟前
3分钟前
绘空事发布了新的文献求助10
3分钟前
种下梧桐树完成签到 ,获得积分10
4分钟前
Kao应助科研通管家采纳,获得10
4分钟前
Kao应助科研通管家采纳,获得10
4分钟前
房天川完成签到 ,获得积分10
4分钟前
4分钟前
绘空事发布了新的文献求助10
4分钟前
感动初蓝完成签到 ,获得积分10
4分钟前
lily完成签到 ,获得积分10
4分钟前
changyixin'完成签到,获得积分10
5分钟前
6分钟前
6分钟前
Kao应助科研通管家采纳,获得10
6分钟前
Kao应助科研通管家采纳,获得10
6分钟前
Kao应助科研通管家采纳,获得10
6分钟前
Kao应助科研通管家采纳,获得10
6分钟前
Kao应助科研通管家采纳,获得10
6分钟前
6分钟前
6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
Nondestructive Testing Handbook: Vol. 4, Thermal and Infrared Testing (IR), 4th ed 800
Understanding Acculturation: The Process of Cultural Adjustment as Applied to International Migration 700
作者名:Kristopher P. Plain,悉尼大学的,目前只能查到其四篇论文,想找到其博士论文 590
Évora na Idade Média 555
Soil mites of the family Rhagidiidae (Actinedida: Eupodoidea). Morphology, Systematics, Ecology 520
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
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 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7370461
求助须知:如何正确求助?哪些是违规求助? 8978026
关于积分的说明 19087272
捐赠科研通 7012836
什么是DOI,文献DOI怎么找? 3224959
关于科研通互助平台的介绍 2388529
邀请新用户注册赠送积分活动 2205648