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基于数据挖掘和网络药理学探讨中药复方治疗抑郁症的用药规律与作用机制 被引量:4

Exploration on the Medication Rules and Mechanism of Chinese Herbal Compound in the Treatment of Depression Based on Data Mining and Network Pharmacology
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摘要 【目的】探讨临床中药复方治疗抑郁症的核心药物及其抗抑郁分子机制。【方法】通过中国知网、万方数据和维普网检索相关文献,筛选并整理临床使用的中药复方。通过分析用药频率和中药关联规则,确定柴胡、白芍和郁金为治疗抑郁症的核心中药。利用TCMSP数据库筛选核心药物的活性成分及靶蛋白,并从TTD、OMIM、DrugBank和GeneCards中获取抑郁症相关靶点。通过STRING和Cytoscape数据库构建蛋白质-蛋白质互作(PPI)网络和“核心药物-活性成分-交集靶点”网络,利用Metascape进行基因本体论(GO)富集和京都基因与基因组百科全书(KEGG)通路富集分析。分子对接分析使用RCSB数据库、AutoDockTools和PyMOL,验证关键活性成分与核心靶标的结合活性。【结果】临床中药复方治疗抑郁症的药物以寒性、甘味、苦味和辛味为主,归经以肝经为首。柴胡、白芍和郁金用药频次最高,且“白芍-柴胡”和“郁金-白芍-柴胡”组合支持度最高。PPI网络中,SLC6A4、AKT1和CHRNA4为关键靶点。GO富集分析表明,核心药物通过化学突触传递等生物过程以及G蛋白偶联受体活性等分子功能,在突触膜等部位发挥作用。KEGG通路富集分析结果显示,核心药物可能通过神经活性配体-受体相互作用、钙信号通路等治疗抑郁症。分子对接证实关键活性成分与核心靶标间有强结合活性。【结论】柴胡、白芍和郁金是临床治疗抑郁症的核心中药,其可通过多成分、多靶点、多通路治疗抑郁症。 Objective To explore the core drugs and antidepressant molecular mechanisms of Chinese herbal compound in the clinical treatment of depression.Methods Relevant literature was searched through CNKI,Wanfang and VIP to screen and sort out the Chinese Herbal compounds used in clinical practice.By analyzing the frequency of medication and the association rules of Chinese medicines,Bupleuri Radix,Paeoniae Radix Alba,Curcumae Radix were determined as the core Chinese medicinals for the treatment of depression.The active components and target proteins of these drugs were screened by TCMSP database,and depression-related targets were obtained from TTD,OMIM,DrugBank and GeneCards.Protein-protein interaction(PPI)network and‘core drug-active ingredient-intersection target’network were constructed by STRING and Cytoscape.Gene Ontology(GO)enrichment and Kyoto Encyclopedia of Genes and Genomes(KEGG)pathway enrichment analysis were performed by Metascape.Molecular docking analysis used RCSB database,AutoDockTools and PyMOL to verify the binding activity of key active components with core targets.Results The drugs for the treatment of depression in clinical Chinese herbal compound prescriptions were mainly cold,sweet,bitter and pungent,and the liver meridian was the first.Bupleuri Radix,Paeoniae Radix Alba,Curcumae Radix had the highest frequency of medication,and the combination of“Paeoniae Radix Alba-Bupleuri Radix”and“Curcumae Radix-Paeoniae Radix Alba-Bupleuri Radix”had the highest support.In the PPI network,SLC6A4,AKT1 and CHRNA4 were the key targets.GO enrichment analysis results showed that core drugs play a role in synaptic membranes and other parts through biological processes such as chemical synaptic transmission,as well as molecular functions such as G protein-coupled receptor activity.KEGG pathway enrichment analysis results showed that core drugs may treat depression through neuroactive ligand-receptor interaction,calcium signaling pathway and other pathways.Molecular docking confirmed that there was a strong binding activity between the key active ingredients and the core target.Conclusion Bupleuri Radix,Paeoniae Radix Alba,Curcumae Radix are the core drugs for clinical treatment of depression,which can treat depression through multi-component,multi-target and multi-pathway.
作者 薛茜尹 张怡 李国辉 张铭珈 敖海清 XUE Qian-Yin;ZHANG Yi;LI Guo-Hui;ZHANG Ming-Jia;AO Hai-Qing(School of Public Health and Management,Guangzhou University of Chinese Medicine,Guangzhou 510006 Guangdong,China;School of Basic Medical Sciences,Zhejiang University of Chinese Medicine,Hangzhou 310053 Zhejiang,China)
出处 《广州中医药大学学报》 CAS 2024年第10期2804-2814,共11页 Journal of Guangzhou University of Traditional Chinese Medicine
基金 国家自然基金青年项目(编号:82205229)。
关键词 中药复方 抑郁症 核心中药 柴胡 白芍 郁金 数据挖掘 网络药理学 分子对接 Chinese herbal compound depression core Chinese medicine Bupleuri Radix Paeoniae Radix Alba Curcumae Radix data mining network pharmacology molecular docking
作者简介 薛茜尹(1995-),女,在读博士研究生,E-mail:xqy777777@163.com;通信作者:敖海清(1973-),男,1973年7月生,我校2004级博士研究生校友。广州中医药大学公共卫生与管理学院教授,博士研究生导师,国家中医药管理局重点学科——中医心理学学科带头人,中华中医药学会中医基础理论分委会常委,中国中西医结合学会基础理论分委会常委,广东省中医药学会中医基础理论分委会副主任委员,广东省中医药学会中医心理学分委会副主任委员,广州市心理卫生协会常委,教育部新世纪优秀人才,第四批全国中医优秀人才,广东省高等院校第七批“千百十”人才工程(省级)培养对象,广东省科技厅科技咨询专家库专家。长期致力于情志病因理论及中医药抗应激损伤研究。近年来主持国家自然科学基金课题2项,作为主要完成人参与“973”计划课题1项,国家自然科学基金课题3项,广东省自然科学基金团队项目1项,发表相关科研论文90余篇。参与研究课题获广东省科技进步奖二等奖2项,教育部科技进步奖一等奖1项。E-mail:aohaiqing@gzucm.edu.cn。
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