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!

Uncovering the active components, prospective targets, and molecular mechanism of Baihe Zhimu decoction for treating depression using network pharmacology-based analysis

小桶 药理学 汤剂 化学 传统医学 医学 生物化学 基因表达 基因 转录组
作者
Hai-Qiao Wang,Hongtao Liu,Liang Wang,Min Liang,Bin Chen,He Li
出处
期刊:Journal of Ethnopharmacology [Elsevier BV]
卷期号:281: 114586-114586 被引量:27
标识
DOI:10.1016/j.jep.2021.114586
摘要

Baihe Zhimu decoction (BZD) is a classical traditional Chinese medicinal herbal formula. It consists of two herbal medicines, Rhizoma Anemarrhenae (Zhimu), the rhizomes of Anemarrhena asphodeloides Bge . (Liliaceae), and Bulbus Lilii (Baihe), the bulbs of Lilium brownii var. Viridulum Baker (Liliaceae). BZD has been widely used in China to treat depression and verified to be effective without evident side effects. The aim of this study was to elucidate the active components, potential targets, and molecular mechanism of Baihe Zhimu decoction for treating depression. In this research, a chronic unpredictable mild stress (CUMS) mice was first established to evaluate the pharmacological effects of BZD for treating depression. A component database was then constructed for BZD. High-performance liquid chromatography coupled with quadrupole time-of-flight mass spectrometry (HPLC-QTOF-MS) technique was used to identify the components in BZD and blood-absorbed components. Further screening and validation of protein targets were performed by molecule docking. The component-target binding affinity was validated by surface plasmon resonance analysis (SPR) assay. The related pathways were predicted by Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis. Relative proteins in the predicted pathways were finally assessed by Western blot . The pharmacology evaluation experiment demonstrated that BZD could improve depressive-like behavior, inhibit the hippocampal secretion of pro-inflammatory cytokines and reduce neuronal apoptosis in CUMS mice model. A component database containing 163 components and a target database covering 1286 proteins were constructed. HPLC-QTOF-MS assay identified twenty-six components from BZD and ten components absorbed into rat plasma after an intragastric treatment with BZD. Next, 56 underlying targets were screened out by a virtual high-throughput screening approach. Twenty-seven of them were further screened out and confirmed by molecular docking. Afterward, a component-target network was established, and the component-protein binding affinities were validated by SPR assays. By KEGG pathway enrichment analysis, two signaling pathways PI3K/Akt and MAPK were predicted as the potential signaling cascades. Finally, Western blot showed that BZD dramatically reversed the suppression of PI3K/Akt/GSK-3β pathway and the activation of MAPK pathway in CUMS mice model. BZD demonstrated a substantial pharmacological effect on CUMS mice model. Network pharmacology-based analysis predicted that ten blood-absorbed components can act on 27 target proteins. KEGG and Western blotting analysis suggested that BZD could exert antidepressant effects by regulating the PI3K/Akt and MAPK signaling pathways. • The active components in BZD were identified based on a component database in-house. • A component-target network was established in which key targets were validated. • BZD exerts antidepressant effect by regulating PI3K/Akt and MAPK pathways.
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
冷傲的怜寒完成签到,获得积分10
2秒前
efren1806完成签到,获得积分10
11秒前
魔术师完成签到,获得积分10
19秒前
27秒前
Victor3发布了新的文献求助30
28秒前
369ninja应助科研通管家采纳,获得10
28秒前
科研通AI2S应助科研通管家采纳,获得20
28秒前
Kao应助Benjamin采纳,获得10
31秒前
负责的如萱完成签到,获得积分10
36秒前
50秒前
Kikiya发布了新的文献求助10
56秒前
美丽的迎蕾完成签到,获得积分10
1分钟前
1分钟前
隐形曼青应助Kikiya采纳,获得10
1分钟前
1分钟前
可爱的柜子完成签到,获得积分10
2分钟前
深情的朝雪完成签到,获得积分10
2分钟前
科研通AI2S应助科研通管家采纳,获得10
2分钟前
gao0505完成签到,获得积分10
2分钟前
kkk发布了新的文献求助10
2分钟前
kkk完成签到,获得积分20
2分钟前
cc关注了科研通微信公众号
3分钟前
fabius0351完成签到,获得积分10
3分钟前
奋斗的枫叶完成签到,获得积分10
3分钟前
Victor3完成签到,获得积分20
3分钟前
互助完成签到,获得积分0
3分钟前
苗条的傲安完成签到,获得积分10
4分钟前
cc完成签到,获得积分10
4分钟前
所所应助Zer0采纳,获得10
4分钟前
伶俐的一斩完成签到,获得积分10
5分钟前
Zer0完成签到,获得积分10
5分钟前
5分钟前
Zer0发布了新的文献求助10
5分钟前
真实的荣轩完成签到,获得积分10
5分钟前
jxjsyf完成签到 ,获得积分10
5分钟前
落后安青完成签到,获得积分10
6分钟前
小西贝完成签到 ,获得积分10
6分钟前
6分钟前
大菠萝5发布了新的文献求助10
6分钟前
6分钟前
高分求助中
Principles of Economics, 11th Edition 10000
University Physics with Modern Physics, 16th edition 10000
(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
Matrix Methods in Data Mining and Pattern Recognition 510
Social Skills Improvement System-Rating Scales--Chinese Version 500
Dynamische Polarisation von H-1 und B-11 in (CH-3)-3NBH-3 500
CLSI M07 2024 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 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 7247723
求助须知:如何正确求助?哪些是违规求助? 8870706
关于积分的说明 18712132
捐赠科研通 6926074
什么是DOI,文献DOI怎么找? 3197998
关于科研通互助平台的介绍 2373776
邀请新用户注册赠送积分活动 2172888