Discussion on the mechanism of Tiaoqi Xiaowei decoction in the treatment of chronic atrophic gastritis based on network pharmacology and molecular docking: An observational study

AKT1型 系统药理学 小桶 医学 对接(动物) 药理学 萎缩性胃炎 计算生物学 汤剂 信号转导 PI3K/AKT/mTOR通路 生物 传统医学 胃炎 基因 生物化学 基因表达 基因本体论 内科学 护理部 药品
作者
Ruwen Yang,Jun Ouyang,Jiawei Jiang,Yuanpei Zhao,Defeng Wu,Dongmei Chen,Biao Xi
出处
期刊:Medicine [Wolters Kluwer]
卷期号:103 (22): e38224-e38224 被引量:1
标识
DOI:10.1097/md.0000000000038224
摘要

To explore the mechanism of Tiaoqi Xiaowei decoction in the treatment of chronic atrophic gastritis by network pharmacology and molecular docking. The main active components and targets of Tiaoqi Xiaowei decoction were obtained from TCMSP database. The databases of Disgenet, GeneCards, and OMIM were used to obtain chronic atrophic gastritis-related targets. The component–target–disease network was constructed by Cytoscape 3.7.1 software, and the protein–protein interaction network was constructed by String database. The core targets were screened by CytoNCA plug-in. Gene ontology analysis and Kyoto Encyclopedia of Genes and Genome pathway enrichment analysis were performed using the Metascape database. The core components and targets were subjected to molecular docking verification using AutoDock Tools 1.5.6 software, and the binding score was obtained. A total of 48 active components were identified, involving 82 action targets. Core active components such as quercetin, beta-sitosterol, kaempferol, luteolin, and naringenin, and core targets such as AKT1, TP53, VEGFA, TNF, IL6, and PTGS2 were obtained. A total of 188 signaling pathways were screened out, including cancer pathway, PI3K-Akt, IL-17, and TNF signaling pathway. Molecular docking results showed that the key components of Tiaoqi Xiaowei decoction had a favorable binding affinity with key targets. Tiaoqi Xiaowei decoction acts on multiple targets such as AKT1, TP53, VEGFA, TNF, IL6, PTGS2, and synergistically treats chronic atrophic gastritis by regulating inflammatory responses and tumor-related signaling pathways.
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
火星上的焦完成签到,获得积分20
1秒前
西北望发布了新的文献求助10
1秒前
完美世界应助深巷南离木采纳,获得10
2秒前
prof.zhang完成签到,获得积分10
3秒前
张茜茜发布了新的文献求助20
3秒前
vvA11应助碧蓝世立采纳,获得10
3秒前
3秒前
xiaoshuwang完成签到,获得积分10
3秒前
1111完成签到,获得积分10
4秒前
在雨里思考完成签到,获得积分10
4秒前
香蕉觅云应助咕咕鸡采纳,获得10
4秒前
JingyuHuang完成签到,获得积分10
4秒前
CodeCraft应助胡大嘴先生采纳,获得10
6秒前
Auston_zhong应助青木蓝采纳,获得10
7秒前
精英刺客完成签到 ,获得积分10
7秒前
DJMZ发布了新的文献求助10
8秒前
9秒前
9秒前
9秒前
10秒前
10秒前
10秒前
10秒前
小婉完成签到,获得积分10
11秒前
11秒前
11秒前
自由溪灵完成签到,获得积分10
11秒前
11秒前
阿斯顿发布了新的文献求助30
13秒前
番番茄发布了新的文献求助10
13秒前
14秒前
斯可发布了新的文献求助10
14秒前
冷傲山彤发布了新的文献求助10
15秒前
有魅力老三完成签到 ,获得积分10
15秒前
咕咕鸡发布了新的文献求助10
16秒前
科研小白发布了新的文献求助10
16秒前
drjchen发布了新的文献求助10
16秒前
小黑完成签到 ,获得积分10
17秒前
18秒前
西北望完成签到,获得积分10
18秒前
高分求助中
All the Birds of the World 4000
Production Logging: Theoretical and Interpretive Elements 3000
Les Mantodea de Guyane Insecta, Polyneoptera 2000
Machine Learning Methods in Geoscience 1000
Resilience of a Nation: A History of the Military in Rwanda 888
Musculoskeletal Pain - Market Insight, Epidemiology And Market Forecast - 2034 666
Crystal Nonlinear Optics: with SNLO examples (Second Edition) 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 物理 生物化学 纳米技术 计算机科学 化学工程 内科学 复合材料 物理化学 电极 遗传学 量子力学 基因 冶金 催化作用
热门帖子
关注 科研通微信公众号,转发送积分 3734798
求助须知:如何正确求助?哪些是违规求助? 3278733
关于积分的说明 10011078
捐赠科研通 2995408
什么是DOI,文献DOI怎么找? 1643417
邀请新用户注册赠送积分活动 781158
科研通“疑难数据库(出版商)”最低求助积分说明 749285