Network Pharmacology Research Indicates that Wu-Mei-Wan Treats Obesity by Inhibiting Th17 Cell Differentiation and Alleviating Metabolic Inflammation

小桶 药物数据库 公共化学 系统药理学 机制(生物学) 计算生物学 生物信息学 可药性 生物 药理学 药品 基因 基因本体论 遗传学 基因表达 哲学 认识论
作者
Panpan Huang,Guang Chen,Zhe Cheng,Xinyu Xiong,Fan Wu,Yan Zhao,Ruolan Dong,Shujun Jiang,Ke Fang
出处
期刊:Combinatorial Chemistry & High Throughput Screening [Bentham Science Publishers]
卷期号:26 (1): 30-48 被引量:3
标识
DOI:10.2174/1386207325666220221121919
摘要

Wu-Mei-Wan (WMW), a traditional Chinese medicine (TCM) formula, has a good effect on the treatment of obesity and has been proven helpful to promote the metabolism of adipose tissue. However, its underlying mechanism remains to be studied. This study aims to explore the potential pharmacological mechanism of WMW in the treatment of obesity.Network pharmacology was used to sort out the relationship between WMW putative targets and obesity-related drug targets or disease targets, which indicated the mechanism of WMW in treating obesity from two aspects of clinical drugs approved by the Food and Drug Administration (FDA) and obesity-related diseases. Databases such as Traditional Chinese Medicine Systems Pharmacology (TCMSP), PubChem, DrugBank, DisGeNET, and Genecards were used to collect information about targets. String platform was used to convert the data into gene symbol of "homo sapiens", and perform gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses. With the Human Protein Reference Database (HPRD) as background data, Cytoscape 3.6.0 software was used to construct a new protein-protein interaction (PPI) network. Mechanism diagrams of key pathways were obtained from the KEGG database. AutoDock Vina software was used to conduct molecular docking verification.The number of targets in the overlap between WMW putative targets and obesity-related drug targets accounted for more than 50% of the latter, and HTR3A, SLC6A4, and CYP3A4 were core targets. In obesity-related disease targets-WMW putative targets PPI network, the Th17 cell differentiation pathway, and the IL-17 signaling pathway were key pathways, and the 1st module and the 7th module were central function modules that were highly associated with immunity and inflammation. Molecular docking verified that STAT3, TGFB1, MMP9, AHR, IL1B, and CCL2 were core targets in the treatment of WMW on obesity.WMW has similar effects on lipid and drug metabolism as the current obesity-related drugs, and is likely to treat obesity by inhibiting Th17 cell differentiation and alleviating metabolic inflammation.

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
1秒前
自信项链发布了新的文献求助30
1秒前
1秒前
1秒前
研友_LkYoRZ完成签到,获得积分10
2秒前
勇者义彦发布了新的文献求助10
2秒前
使徒猫发布了新的文献求助10
2秒前
3秒前
思源应助独特的忆彤采纳,获得10
4秒前
4秒前
舒心的冷安完成签到,获得积分10
4秒前
4秒前
内向的香旋完成签到 ,获得积分20
5秒前
5秒前
5秒前
6秒前
wang发布了新的文献求助30
6秒前
9秒前
ZLWF完成签到,获得积分10
9秒前
科研之家完成签到,获得积分10
10秒前
沸羊羊应助15919229415采纳,获得20
10秒前
传奇3应助hcd12138采纳,获得10
10秒前
11秒前
Zoey完成签到,获得积分10
11秒前
米米完成签到,获得积分20
11秒前
愿好发布了新的文献求助10
12秒前
万能图书馆应助好好采纳,获得10
12秒前
12秒前
13秒前
张宝发布了新的文献求助10
13秒前
14秒前
XYLL完成签到 ,获得积分10
14秒前
14秒前
灵宝宝应助含笑半步癫采纳,获得20
14秒前
小二完成签到,获得积分10
15秒前
15秒前
Ds发布了新的文献求助30
16秒前
yang应助Haru采纳,获得10
16秒前
16秒前
黑咖啡完成签到,获得积分10
16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
Picture this! Including first nations fiction picture books in school library collections 2000
The Cambridge History of China: Volume 4, Sui and T'ang China, 589–906 AD, Part Two 1500
Cowries - A Guide to the Gastropod Family Cypraeidae 1200
Quality by Design - An Indispensable Approach to Accelerate Biopharmaceutical Product Development 800
Pulse width control of a 3-phase inverter with non sinusoidal phase voltages 777
ON THE THEORY OF BIRATIONAL BLOWING-UP 666
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 6392454
求助须知:如何正确求助?哪些是违规求助? 8207873
关于积分的说明 17375039
捐赠科研通 5445861
什么是DOI,文献DOI怎么找? 2879294
邀请新用户注册赠送积分活动 1855716
关于科研通互助平台的介绍 1698634