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!

Integrated Analysis of Metabolomics Combined with Network Pharmacology and Molecular Docking Reveals the Effects of Processing on Metabolites of Dendrobium officinale

代谢组学 代谢物 石斛 化学 计算生物学 药理学 传统医学 生物 生物化学 植物 色谱法 医学
作者
Lilan Xu,Si-Min Zuo,Mei Liu,Tao Wang,Zizheng Li,Yong‐Huan Yun,Weimin Zhang
出处
期刊:Metabolites [Multidisciplinary Digital Publishing Institute]
卷期号:13 (8): 886-886 被引量:1
标识
DOI:10.3390/metabo13080886
摘要

Dendrobium officinale (D. officinale) is a precious medicinal species of Dendrobium Orchidaceae, and the product obtained by hot processing is called “Fengdou”. At present, the research on the processing quality of D. officinale mainly focuses on the chemical composition indicators such as polysaccharides and flavonoids content. However, the changes in metabolites during D. officinale processing are still unclear. In this study, the process was divided into two stages and three important conditions including fresh stems, semiproducts and “Fengdou” products. To investigate the effect of processing on metabolites of D. officinale in different processing stages, an approach of combining metabolomics with network pharmacology and molecular docking was employed. Through UPLC-MS/MS analysis, a total of 628 metabolites were detected, and 109 of them were identified as differential metabolites (VIP ≥ 1, |log2 (FC)| ≥ 1). Next, the differential metabolites were analyzed using the network pharmacology method, resulting in the selection of 29 differential metabolites as they have a potential pharmacological activity. Combining seven diseases, 14 key metabolites and nine important targets were screened by constructing a metabolite–target–disease network. The results showed that seven metabolites with potential anticoagulant, hypoglycemic and tumor-inhibiting activities increased in relative abundance in the “Fengdou” product. Molecular docking results indicated that seven metabolites may act on five important targets. In general, processing can increase the content of some active metabolites of D. officinale and improve its medicinal quality to a certain extent.

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
lcy001发布了新的文献求助10
3秒前
Hello应助合适德天采纳,获得10
6秒前
8秒前
10秒前
11完成签到,获得积分20
13秒前
13秒前
王海洋发布了新的文献求助10
16秒前
尘风发布了新的文献求助10
21秒前
sillyceiling发布了新的文献求助10
28秒前
30秒前
32秒前
32秒前
Ymir发布了新的文献求助10
34秒前
田様应助11采纳,获得30
36秒前
小趴菜发布了新的文献求助10
36秒前
37秒前
乐乐应助Ymir采纳,获得10
40秒前
wearelulu完成签到,获得积分10
43秒前
小趴菜完成签到,获得积分10
43秒前
着急的向雁完成签到,获得积分10
45秒前
科研通AI6.1应助高兴白山采纳,获得10
47秒前
干净的琦应助Melody_HFUT采纳,获得20
1分钟前
1分钟前
1分钟前
在水一方应助数据女工采纳,获得10
1分钟前
无花果应助云7采纳,获得10
1分钟前
gxlww完成签到,获得积分20
1分钟前
1分钟前
高兴白山发布了新的文献求助10
1分钟前
1分钟前
尘风发布了新的文献求助10
2分钟前
2分钟前
高兴白山完成签到,获得积分10
2分钟前
云木完成签到 ,获得积分10
2分钟前
lyulyuch221发布了新的文献求助10
2分钟前
云7发布了新的文献求助10
2分钟前
所所应助科研通管家采纳,获得10
2分钟前
在水一方应助科研通管家采纳,获得10
2分钟前
脑洞疼应助科研通管家采纳,获得10
2分钟前
星辰大海应助科研通管家采纳,获得10
2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
Salmon nasal cartilage-derived proteoglycan complexes influence the gut microbiota and bacterial metabolites in mice 2000
The Composition and Relative Chronology of Dynasties 16 and 17 in Egypt 1500
Cowries - A Guide to the Gastropod Family Cypraeidae 1200
ON THE THEORY OF BIRATIONAL BLOWING-UP 666
Signals, Systems, and Signal Processing 610
“美军军官队伍建设研究”系列(全册) 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 6384135
求助须知:如何正确求助?哪些是违规求助? 8196391
关于积分的说明 17332146
捐赠科研通 5437735
什么是DOI,文献DOI怎么找? 2875904
邀请新用户注册赠送积分活动 1852430
关于科研通互助平台的介绍 1696783