Integration of molecular docking, molecular dynamics and network pharmacology to explore the multi‐target pharmacology of fenugreek against diabetes

药理学 糖尿病 传统医学 保健品 木犀草素 对接(动物) 计算生物学 生物 化学 医学 槲皮素 生物化学 抗氧化剂 内分泌学 护理部
作者
Wenfeng Luo,Jie Deng,Jiecheng He,Liang Yin,Rong You,Lingkun Zhang,Jian Shen,Zeping Han,Fangmei Xie,Jinhua He,Yan‐Qing Guan
出处
期刊:Journal of Cellular and Molecular Medicine [Wiley]
卷期号:27 (14): 1959-1974 被引量:60
标识
DOI:10.1111/jcmm.17787
摘要

Abstract Fenugreek is an ancient herb that has been used for centuries to treat diabetes. However, how the fenugreek‐derived chemical compounds work in treating diabetes remains unclarified. Herein, we integrate molecular docking and network pharmacology to elucidate the active constituents and potential mechanisms of fenugreek against diabetes. First, 19 active compounds from fenugreek and 71 key diabetes‐related targets were identified through network pharmacology analysis. Then, molecular docking and simulations results suggest diosgenin, luteolin and quercetin against diabetes via regulation of the genes ESR1, CAV1, VEGFA, TP53, CAT, AKT1, IL6 and IL1. These compounds and genes may be key factors of fenugreek in treating diabetes. Cells results demonstrate that fenugreek has good biological safety and can effectively improve the glucose consumption of IR‐HepG2 cells. Pathway enrichment analysis revealed that the anti‐diabetic effect of fenugreek was regulated by the AGE‐RAGE and NF‐κB signalling pathways. It is mainly associated with anti‐oxidative stress, anti‐inflammatory response and β‐cell protection. Our study identified the active constituents and potential signalling pathways involved in the anti‐diabetic effect of fenugreek. These findings provide a theoretical basis for understanding the mechanism of the anti‐diabetic effect of fenugreek. Finally, this study may help for developing anti‐diabetic dietary supplements or drugs based on fenugreek.
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
更新
PDF的下载单位、IP信息已删除 (2025-6-4)

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。
建议保存本图,每天支付宝扫一扫(相册选取)领红包
实时播报
刚刚
1秒前
小敖发布了新的文献求助10
2秒前
wangran_778完成签到,获得积分10
3秒前
3秒前
Hanoi347应助kang采纳,获得10
3秒前
H·Y完成签到,获得积分10
4秒前
阳光问雁发布了新的文献求助10
4秒前
4秒前
5秒前
nike完成签到,获得积分10
5秒前
lsy68发布了新的文献求助30
7秒前
皓轩发布了新的文献求助30
8秒前
8秒前
8秒前
8秒前
科研通AI2S应助科研通管家采纳,获得10
8秒前
浮游应助科研通管家采纳,获得10
8秒前
脑洞疼应助科研通管家采纳,获得10
8秒前
科研通AI6应助科研通管家采纳,获得10
8秒前
yang应助科研通管家采纳,获得20
8秒前
8秒前
CodeCraft应助科研通管家采纳,获得10
8秒前
李爱国应助科研通管家采纳,获得10
9秒前
9秒前
科研通AI6应助科研通管家采纳,获得10
9秒前
乐乐应助科研通管家采纳,获得10
9秒前
浮游应助科研通管家采纳,获得10
9秒前
隐形曼青应助科研通管家采纳,获得10
9秒前
科研通AI6应助科研通管家采纳,获得10
9秒前
FashionBoy应助科研通管家采纳,获得10
9秒前
神勇千风应助科研通管家采纳,获得10
9秒前
9秒前
852应助科研通管家采纳,获得10
9秒前
今后应助科研通管家采纳,获得10
9秒前
yang应助科研通管家采纳,获得10
9秒前
无极微光应助科研通管家采纳,获得20
9秒前
小马甲应助科研通管家采纳,获得10
9秒前
科研通AI6应助科研通管家采纳,获得10
9秒前
yang应助科研通管家采纳,获得10
10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
Mentoring for Wellbeing in Schools 1200
List of 1,091 Public Pension Profiles by Region 1061
Binary Alloy Phase Diagrams, 2nd Edition 600
Atlas of Liver Pathology: A Pattern-Based Approach 500
A Technologist’s Guide to Performing Sleep Studies 500
EEG in Childhood Epilepsy: Initial Presentation & Long-Term Follow-Up 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 生物化学 物理 纳米技术 计算机科学 内科学 化学工程 复合材料 物理化学 基因 遗传学 催化作用 冶金 量子力学 光电子学
热门帖子
关注 科研通微信公众号,转发送积分 5497239
求助须知:如何正确求助?哪些是违规求助? 4594744
关于积分的说明 14446447
捐赠科研通 4527478
什么是DOI,文献DOI怎么找? 2480884
邀请新用户注册赠送积分活动 1465248
关于科研通互助平台的介绍 1437903