An integrated evidence-based targeting strategy for determining combinatorial bioactive ingredients of a compound herbal medicine Qishen Yiqi dripping pills

医学 传统医学 药理学 药品 活性成分 中医药 替代医学 病理
作者
Yiqian Zhang,Jiahui Yu,Wen Zhang,Yuewei Wang,Yi He,Shuiping Zhou,Guanwei Fan,Hua Yang,Yan Zhu,Ping Li
出处
期刊:Journal of Ethnopharmacology [Elsevier]
卷期号:219: 288-298 被引量:25
标识
DOI:10.1016/j.jep.2018.02.041
摘要

Qishen Yiqi is a widely used Chinese herbal medicine formula with "qi invigorating and blood activating" property. Its dripping pill preparation (QSYQ) is a commercial herbal medicine approved by the China Food and Drug Administration (CFDA) in 2003 and is extensively used clinically to treat cardiovascular diseases, such as ischemic heart failure and angina pectoris, as well as for the secondary prevention of myocardial infarction. However, the bioactive ingredients of QSYQ remain unclear. As QSYQ is a compound herbal formula, it is of great importance to elucidate its pharmacologically active ingredients and underlying synergetic effects.This experimental study was conducted to comprehensively determine the combinatorial bioactive ingredients (CBIs) in QSYQ and to elucidate their potential synergetic effects. The established strategy may shed new light on how to rapidly determine CBIs in complex herbal formulas with holistic properties.An integrated evidence-based targeting strategy was introduced and validated to determine CBIs in QSYQ. The strategy included the following steps: (1) Chemical ingredients in QSYQ were analyzed via UPLC-Q-TOF/MS in the negative and positive modes and were identified by comparison with standard compounds and previously reported data. Their potential therapeutic activities were predicted based on the ChEMBL database to preliminarily search for candidate bioactive ingredients, and their combination was defined as the CBIs. (2) The CBIs were directly trapped and prepared from QSYQ with a two-dimensional chromatographic separation system, and the remaining part was defined as the rest ingredients (RIs). (3) As animal and cell models, left anterior descending coronary artery ligation (LAD)-induced heart failure in rats and hypoxia-induced cardiac myocyte injury in H9c2 cells were applied to compare the potency of QSYQ, CBIs and RIs. (4) The synergetic effects on cardiac myocyte protection of multiple ingredients in CBIs were examined in this cell model.(1) Forty-three ingredients in QSYQ were identified via UPLC-Q-TOF/MS. Based on evidence-based screening using the ChEMBL database, 24 ingredients were predicted to be bioactive ingredients, and their combination was considered the CBIs. (2) The CBIs and RIs were successfully prepared according to a two-dimensional chromatographic system. The CBIs were directly trapped and knocked out from QSYQ by hydrophilic interaction liquid chromatography coupled with reverse-phase liquid chromatography. The remaining part was used as RIs. (3) The results from pharmacological evaluation revealed that CBIs and QSYQ, but not RIs, significantly prevented myocardium injury; improved the ejection fraction (EF) and fractional shortening (FS); decreased the release of cardiac enzymes, including CK, CK-MB, and LDH; alleviated mitochondrial dysfunction; and protected the cell nucleus number and mitochondrial mass. Furthermore, QSYQ and CBIs possessed similar potency. (4) In hypoxia-stimulated H9c2 cells, CBIs showed far greater potency regarding the protection of cardiac myocyte injury than the individual ingredients in QSYQ, exhibiting obvious synergetic effects.An integrated evidence-based targeting strategy was successfully established and validated to determine CBIs from QSYQ with excellent efficiency. Importantly, the holistic property of QSYQ was retained in the CBIs. Hence, this study may shed new light on how to rapidly reveal combinatorial bioactive ingredients from complex prescriptions and will be greatly helpful in the establishment of an appropriate approach to quality control for herbal medicines.
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
忆修完成签到,获得积分10
1秒前
2秒前
可爱的函函应助JUGG采纳,获得10
2秒前
王正正发布了新的文献求助10
5秒前
5秒前
fwk关注了科研通微信公众号
5秒前
李健应助机灵鱼采纳,获得10
7秒前
凡人发布了新的文献求助20
7秒前
MyAI应助奶油桃子采纳,获得10
7秒前
赘婿应助belva采纳,获得10
7秒前
Daisy发布了新的文献求助10
7秒前
昏睡的莞关注了科研通微信公众号
8秒前
8秒前
夜落完成签到,获得积分10
8秒前
8秒前
曲聋五完成签到 ,获得积分0
9秒前
三块钱土豆完成签到 ,获得积分10
9秒前
安卉完成签到 ,获得积分10
9秒前
彭于晏应助PEGA采纳,获得10
10秒前
11秒前
想吃排骨了应助222222采纳,获得10
12秒前
ericzhouxx完成签到,获得积分10
12秒前
12秒前
12秒前
allen发布了新的文献求助10
12秒前
朱朱完成签到,获得积分10
12秒前
文文武完成签到,获得积分10
13秒前
14秒前
14秒前
体贴的向梦完成签到,获得积分10
14秒前
可爱的函函应助1842671802采纳,获得10
15秒前
黄少阳完成签到,获得积分20
15秒前
16秒前
光头强完成签到,获得积分10
16秒前
科研通AI6.2应助Carolin采纳,获得10
16秒前
科研通AI2S应助平淡的茹妖采纳,获得10
16秒前
小艾同学发布了新的文献求助10
16秒前
16秒前
17秒前
xu发布了新的文献求助10
17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
Modern Epidemiology, Fourth Edition 5000
Handbook of pharmaceutical excipients, Ninth edition 5000
Digital Twins of Advanced Materials Processing 2000
Weaponeering, Fourth Edition – Two Volume SET 2000
Polymorphism and polytypism in crystals 1000
Signals, Systems, and Signal Processing 610
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 纳米技术 有机化学 生物化学 化学工程 物理 计算机科学 复合材料 内科学 催化作用 物理化学 光电子学 电极 冶金 基因 遗传学
热门帖子
关注 科研通微信公众号,转发送积分 6022608
求助须知:如何正确求助?哪些是违规求助? 7643263
关于积分的说明 16169884
捐赠科研通 5170921
什么是DOI,文献DOI怎么找? 2766913
邀请新用户注册赠送积分活动 1750251
关于科研通互助平台的介绍 1636941