Exploring the pharmacological mechanisms of Tripterygium wilfordii against diabetic kidney disease using network pharmacology and molecular docking

小桶 系统药理学 UniProt公司 计算生物学 交互网络 基因本体论 对接(动物) 中医药 雷公藤 生物信息学 药理学 基因 生物 医学 药品 基因表达 遗传学 护理部 替代医学 病理
作者
Meiqi Lu,Juanjuan Ou,Xiaoqi Deng,Y Chen,Qing Gao
出处
期刊:Heliyon [Elsevier BV]
卷期号:9 (6): e17550-e17550 被引量:1
标识
DOI:10.1016/j.heliyon.2023.e17550
摘要

Abstract

Background

Tripterygium wilfordii (TW), when formulated in traditional Chinese medicine (TCM), can effectively treat diabetic kidney disease (DKD). However, the pharmacological mechanism associated with its success has not yet been elucidated. The current work adopted network pharmacology and molecular docking for exploring TW-related mechanisms in treating DKD. Methods: In the present work, the Traditional Chinese Medicine Systems Pharmacology (TCMSP) database was employed to obtain the effective components and candidate targets of TW. Additionally, this work utilized the UniProt protein database for screening and standardizing human-derived targets for effective components. The Cytoscape software was utilized to construct an effective component-target network for TW. Targets for DKD were acquired in the GEO, DisGeNET, GeneCards, and OMIM databases. Additionally, a Venn diagram was also plotted to select the possible targets of TW for treating DKD. Gene ontology (GO) and the Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis were conducted to explore the TW-related mechanism underlying DKD treatment. This work also built a protein-protein interaction (PPI) network based on the Cytoscape and String platform. Then, molecular docking was conducted in order to assess the affinity of key proteins for related compounds. Results: In total, 29 active components and 134 targets of TW were acquired, including 63 shared targets, which were identified as candidate therapeutic targets. Some key targets and important pathways were included in the effect of TW in treating DKD. Genes with higher degrees, including TNF and AKT1, were identified as hub genes of TW against DKD. Molecular docking showed that TNF and AKT1 bind well to the main components in TW (kaempferol, beta-sitosterol, triptolide, nobiletin, and stigmasterol).

Conclusions

TW primarily treats DKD by acting on two targets (AKT1 and TNF) via the five active ingredients kaempferol, beta-sitosterol, triptolide, nobiletin, and stigmasterol.
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。
实时播报
12121发布了新的文献求助10
刚刚
Akim应助ZJX采纳,获得10
刚刚
1秒前
ye发布了新的文献求助10
1秒前
bkagyin应助矜持采纳,获得10
1秒前
1秒前
1秒前
芝士肉肉丸完成签到,获得积分10
2秒前
2秒前
2秒前
3秒前
3秒前
4秒前
orixero应助山大琦子采纳,获得10
4秒前
5秒前
5秒前
orixero应助执着的爆米花采纳,获得10
5秒前
5秒前
5秒前
ye完成签到,获得积分10
6秒前
ding应助米兰无敌采纳,获得10
6秒前
7秒前
非而者厚发布了新的文献求助10
7秒前
8秒前
RC_Wang发布了新的文献求助10
8秒前
RC_Wang发布了新的文献求助10
8秒前
RC_Wang发布了新的文献求助10
8秒前
RC_Wang发布了新的文献求助10
8秒前
RC_Wang发布了新的文献求助10
8秒前
RC_Wang发布了新的文献求助10
8秒前
梦里花落声应助MacD采纳,获得10
9秒前
修仙中应助漂流的云朵采纳,获得10
9秒前
9秒前
小马同学完成签到,获得积分10
9秒前
10秒前
璐璐完成签到,获得积分20
11秒前
11秒前
英俊的铭应助12121采纳,获得10
12秒前
jankac发布了新的文献求助30
13秒前
Linzy发布了新的文献求助30
13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
Fermented Coffee Market 2000
PARLOC2001: The update of loss containment data for offshore pipelines 500
Critical Thinking: Tools for Taking Charge of Your Learning and Your Life 4th Edition 500
Phylogenetic study of the order Polydesmida (Myriapoda: Diplopoda) 500
A Manual for the Identification of Plant Seeds and Fruits : Second revised edition 500
Constitutional and Administrative Law 400
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 5262524
求助须知:如何正确求助?哪些是违规求助? 4423472
关于积分的说明 13769822
捐赠科研通 4298194
什么是DOI,文献DOI怎么找? 2358305
邀请新用户注册赠送积分活动 1354627
关于科研通互助平台的介绍 1315823