Deciphering the mechanism and substance basis of Dingxiang Shidi Decoction for the treatment of chemotherapy-induced nausea and vomiting by integrating mass spectrometry, network pharmacology and molecular docking

药理学 药品 医学 化学
作者
Min Zhan,Qian Wang,Jun Yan,Qiaoxuan Zhang,Liqiao Han,Zemin Wan,Shasha Li,Xianzhang Huang
出处
期刊:Technology and Health Care [IOS Press]
卷期号:: 9287329251358624-9287329251358624
标识
DOI:10.1177/09287329251358624
摘要

BackgroundChemotherapy-induced nausea and vomiting (CINV) remains a prevalent and debilitating side effect of cancer treatment with limited therapeutic options. Dingxiang Shidi Decoction (DXSD), a classical Chinese herbal formula, has demonstrated clinical efficacy in CINV management. However, its active components and mechanism of action require systematic investigation.ObjectiveThis study aims to elucidate the pharmacologically active constituents of DXSD and their anti-CINV mechanisms.MethodsWe employed advanced analytical techniques including UPLC-MS/MS and GC-MS to analyze the chemical components of DXSD. Network pharmacology techniques were applied to explore its pharmacological mechanisms. And molecular docking simulation was conducted to further refine the drug-target interaction.ResultsA total of 292 chemical compounds were identified in DXSD, comprising 165 water-soluble components, 56 volatile components, and 84 network database entries. By integrating 564 drug targets with 888 CINV disease targets, we identified 143 potential therapeutic targets. Further protein-protein interaction (PPI) network analysis revealed 12 key active ingredients and 13 key therapeutic targets. Enrichment analysis suggested that DXSD may reduce inflammation, modulate neurotransmitter stimulation in the gastrointestinal tract, and regulate cellular proliferation and differentiation. Notably, key active ingredients, predominantly aromatic compounds such as sabinene, (-)-α-cubebene, α-copaene, β-caryophyllene, aromandendrene, γ-muurolene, (-)-α-muurolene, α-phellandrene, α-terpinene, γ-terpinene, (+)-δ-cadinene, and Gomisin B, demonstrated significant binding affinity with multiple targets, particularly AKT1, BCL2, EGFR, MTOR, and STAT3.ConclusionsThis study reveals the active components and therapeutic mechanisms of DXSD against CINV, supporting its clinical application and demonstrating the potential of aromatherapy as an effective treatment strategy.
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
刚刚
刚刚
Nole应助老实凝蕊采纳,获得10
刚刚
欢欢完成签到,获得积分10
刚刚
刚刚
1秒前
ciara发布了新的文献求助10
1秒前
XU发布了新的文献求助10
2秒前
sdaasd完成签到,获得积分20
2秒前
2秒前
CodeCraft应助朴素天问采纳,获得10
2秒前
SciGPT应助ffchen111采纳,获得10
3秒前
怕黑三毒发布了新的文献求助10
3秒前
4秒前
5秒前
fym发布了新的文献求助10
5秒前
5秒前
乐乐应助维维采纳,获得10
5秒前
小二郎应助goldfish采纳,获得10
5秒前
研团团发布了新的文献求助10
5秒前
5秒前
王磊磊0811发布了新的文献求助10
5秒前
5秒前
呼呼发布了新的文献求助10
6秒前
明理一寡完成签到,获得积分10
6秒前
怡然的梦岚完成签到,获得积分10
6秒前
溪寒完成签到,获得积分20
6秒前
wjlstudent关注了科研通微信公众号
6秒前
大模型应助勤奋的大米采纳,获得10
7秒前
科目三应助拼搏冷卉采纳,获得10
8秒前
韩豆豆发布了新的文献求助10
9秒前
daomaihu发布了新的文献求助100
9秒前
10秒前
10秒前
10秒前
香蕉天奇完成签到,获得积分10
10秒前
lulu完成签到,获得积分10
10秒前
万能图书馆应助tiatia采纳,获得10
11秒前
kingmantj完成签到,获得积分10
11秒前
11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
The anomeric effect 1314
Principles of town planning: translating concepts to applications 1000
1 Peter and Christ's Descent to the Dead in Its Early Christian Reception 700
Organizational Behavior 510
Management and the Arts 510
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 7734933
求助须知:如何正确求助?哪些是违规求助? 9285109
关于积分的说明 20169377
捐赠科研通 7312870
什么是DOI,文献DOI怎么找? 3304770
关于科研通互助平台的介绍 2457382
邀请新用户注册赠送积分活动 2314137