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[1]向成加,向梅先*.基于网络药理学探讨桂枝麻黄附子细辛汤治疗类风湿性关节炎的机制[J].武汉工程大学学报,2026,48(03):279-286+342.[doi:10.19843/j.cnki.CN42-1779/TQ.202508010]
　XIANG Chengjia,XIANG Meixian*.Mechanism of Guizhi-Mahuang-Fuzi-Xixin Decoction for treating rheumatoid arthritis based on network pharmacology[J].Journal of Wuhan Institute of Technology,2026,48(03):279-286+342.[doi:10.19843/j.cnki.CN42-1779/TQ.202508010]
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基于网络药理学探讨桂枝麻黄附子细辛汤治疗类风湿性关节炎的机制
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《武汉工程大学学报》[ISSN:1674-2869/CN:42-1779/TQ]

卷:
48
期数:
2026年03期
页码:
279-286+342
栏目:
现代大化工
出版日期:
2026-06-30

文章信息/Info

Title:
Mechanism of Guizhi-Mahuang-Fuzi-Xixin Decoction for treating rheumatoid arthritis based on network pharmacology
文章编号:
1674 - 2869（2026）03 - 0279 - 08
作者:
向成加; 向梅先*
中南民族大学药学院，湖北 武汉 430074
Author(s):
XIANG Chengjia;  XIANG Meixian*
School of Pharmaceutical Sciences, South-Central Minzu University, Wuhan 430074,China
关键词:
Keywords:
分类号:
R285
DOI:
10.19843/j.cnki.CN42-1779/TQ.202508010
文献标志码:
A
摘要:
为探究桂枝麻黄附子细辛汤治疗类风湿性关节炎（RA）的作用机制，整合网络药理学与分子对接技术开展系统研究。通过 TCMSP 数据库筛选方剂活性成分及对应靶点，结合 GeneCards、DrugBank 数据库获取 RA 相关疾病靶点，经交集分析构建研究基础。利用 Cytoscape 3.10.3 软件构建蛋白互作网络及药物-活性成分-靶点网络，筛选关键成分与核心靶点；借助微生信平台进行 GO 功能注释和KEGG 通路富集分析，采用 AutoDockTools 软件开展分子对接验证。结果显示，共获得 124 个活性成分，关键成分包括槲皮素、叶黄素、山奈酚等；药物-疾病核心靶点 174 个，代表性靶点为 TP53、TNF、AKT1、STAT3、ESR1、HSP90AA1。GO 功能富集得到 6 513 个条目，KEGG 通路富集涉及 197 条通路，核心通路包括 MAPK、IL-17 等炎症相关信号通路及癌症、脂质与动脉粥样硬化等通路。分子对接验证表明，柚皮素与ESR1 的结合能最低。综上，该方剂可通过调控上述核心靶点，参与炎症因子抑制及信号通路调节等生物学过程，发挥抗 RA 治疗功效。
Abstract:
To explore the mechanism of Guizhi-Mahuang-Fuzi-Xixin Decoction in the treatment of rheumatoid arthritis (RA), network pharmacology and molecular docking technology were integrated. The active ingredients and corresponding targets of the decoction were screened via the TCMSP database. RA-related disease targets were retrieved from GeneCards and DrugBank databases, and the intersection of drug targets and disease targets was analyzed to lay the research foundation. Cytoscape 3.10.3 software was used to construct protein-protein interaction (PPI) networks and drug-active ingredient-target networks to screen key ingredients and core targets. GO functional annotation and KEGG pathway enrichment analysis were carried out on the Bioinformatics Cloud Platform, and molecular docking verification was performed using AutoDockTools software. Results showed that a total of 124 active ingredients were obtained, among which quercetin, luteolin and kaempferol were identified as key components. A total of 174 drug-disease core targets were screened, including TP53, TNF, AKT1, STAT3, ESR1, and HSP90AA1. GO functional enrichment acquired 6 513 entries, and KEGG pathway enrichment involved 197 pathways, mainly including inflammatory signaling pathways such as MAPK and IL-17, as well as pathways related to cancer, lipid metabolism, and atherosclerosis. Molecular docking results verified that naringenin possessed the lowest binding energy with ESR1. The decoction may exert therapeutic effects against RA by regulating the above core targets, participating in the inhibition of inflammatory factors and the regulation of signaling pathways.

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备注/Memo

备注/Memo:
收稿日期:2025-08-09
基金项目:湖北省高等学校实验室研究项目（SYYJ2025018）
作者简介:向成加,硕士研究生。Email:3303244270@qq.com
*通信作者:向梅先,博士,教授。Email:xiangmeixian @mail.scuec.edu.cn
更新日期/Last Update: 2026-06-26