袁雪,刘铁,王庆海.基于网络药理学探讨雷公藤多甙治疗类风湿性关节炎的作用机制.[J].中南医学科学杂志.,2024,(6):887-891.
基于网络药理学探讨雷公藤多甙治疗类风湿性关节炎的作用机制
Mechanism of action of Tripterygium wilfordii glycosides in the treatment of rheumatoid arthritis based on network pharmacological analysis
投稿时间:2024-03-18  修订日期:2024-08-28
DOI:10.15972/j.cnki.43-1509/r.2024.06.003
中文关键词:  网络药理学  分子对接技术  雷公藤多甙  类风湿性关节炎
英文关键词:network pharmacology  molecular docking technology  Tripterygium wilfordii glycosides  rheumatoid arthritis
基金项目:河北省中医药管理局中医药类科研计划课题(2023263) 作者简介:袁雪,硕士,主治医师,研究方向为风湿免疫疾病的诊治,E-mail为982950357@qq.com。通信作者王庆海,硕士,主任中医师,研究方向为风湿免疫疾病的诊治,E-mail为wangqinghai@sina.com。
作者单位E-mail
袁雪 河北中医药大学研究生学院, 河北石家庄050000 e-mail为982950357@qq.com,e-mail为wangqinghai@sina.com 
刘铁 河北省沧州中西医结合医院风湿病科, 河北沧州061000  
王庆海 河北中医药大学研究生学院, 河北石家庄050000
河北省沧州中西医结合医院中医经典病房,河北沧州061000 
e-mail为982950357@qq.com,e-mail为wangqinghai@sina.com 
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中文摘要:
      目的基于网络药理学探讨雷公藤多甙治疗类风湿性关节炎(RA)的作用机制。方法利用SwissTargetPrediction、STITCH、Comparative Toxicogenomics等数据库检索筛选雷公藤多甙靶点基因。从GEO数据库中获取RA与药物的差异表达基因(DEG)。使用STRING数据库构建雷公藤多甙与DEG交集靶点的PPI网络,采用Cytoscape(v3.7.2)软件对PPI网络进行可视化分析。交集靶基因采用GO功能富集和KEGG通路分析。 结果共鉴定出雷公藤多甙靶点基因260个,获取DEG 3 687个。雷公藤多甙与DEG相交集的靶基因共99个,雷公藤多甙的靶蛋白中识别出5个关键靶点。GO富集分析结果显示,生物过程主要富集于药物应答、平滑肌细胞增殖正向调控和炎症反应;细胞成分主要富集于胞外空间、胞质和胞外区域;分子功能主要富集于相同的蛋白结合、细胞因子活性和转录因子结合。KEGG通路主要富集于脂质和动脉粥样硬化、癌症通路、癌症中的蛋白聚集糖等等。 结论雷公藤多甙可能通过5个关键靶点,调节多条信号通路,发挥抑制炎症、调节免疫反应、保护关节组织等作用,为其治疗RA提供了新的理论支持。
英文摘要:
      AimTo explore the mechanism of action of the Tripterygium wilfordii glycosides in treating rheumatoid arthritis (RA) based on network pharmacological analysis. MethodsKey targets of Tripterygium wilfordii glycosides were identified by using databases such as SwissTargetPrediction, STITCH, and Comparative Toxicogenomics. Differentially expressed genes (DEG) for RA and the drug were obtained from the GEO database. PPI network of intersecting targets between Tripterygium wilfordii glycosides and DEG was constructed by using the STRING database, and visualized with Cytoscape software (v3.7.2). GO enrichment analysis and KEGG pathway analysis were performed on the intersecting target genes. ResultsA total of 260 target genes of polyglycosides of Tripterygium wilfordii glycosides were identified and 3 687 DEG genes were obtained. There were a total of 99 target genes of Tripterygium wilfordii glycosides interacting with DEG. Five key target proteins of Tripterygium wilfordii glycosides were identified. The results of GO enrichment analysis showed that the biological processes were mainly enriched in drug response, positive regulation of smooth muscle cell proliferation and inflammatory response. Cell components were mainly enriched in extracellular space, cytoplasm and extracellular region. The molecular functions were mainly enriched in the same protein binding, cytokine activity and transcription factor binding. The KEGG pathway analysis showed that the mainly enriched pathways were lipids and atherosclerosis, cancer pathway, proteoglycans in cancer, etc. ConclusionTripterygium wilfordii glycosides may exert anti-inflammatory effects, regulate immune responses, and protect joint tissues through five key targets by modulating multiple signaling pathways, providing new theoretical support for their use in the treatment of RA.
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