基于数据挖掘的治疗抑郁症肝郁气滞型中药复方组方规律及作用机制的研究

Research on the Composition Rules and Mechanism of Traditional Chinese Medicine Formulas for Treating Depression of Liver Qi Stagnation Type Based on Data Mining

摘要: 目的：基于文献数据挖掘和网络药理学方法探索中药复方治疗肝郁气滞型抑郁的规律和可能机制。方法：收集中国知网、万方数据和维普三库自建库至今的相关文献。利用SPSS Modeler 18.0进行关联性分析和复杂网络分析，利用SPSS Statistics进行聚类分析，用药规律使用雷达图展示。检索TCMSP数据库获得关键中药的活性成分和靶点。利用GeneCards数据库获得抑郁症的靶点。对治疗靶点进行蛋白质–蛋白质相互作用分析、基因本体论(GO)和京都基因与基因组百科全书(KEGG)富集分析。结果：共收集中药复方治疗肝郁气滞型抑郁的相关文献18篇，涉及中药处方19首、中药67味，分析得到核心组分3个。分析核心组分柴胡、甘草和茯苓，得到80个活性成分，靶向65个抑郁症相关靶点。核心靶点为前列腺素氧化环化酶2 (Prostaglandin-Endoperoxide Synthase 2, PTGS2)、细胞凋亡调节因子(Apoptosis Regulator Bcl-2, BCL2)、信号转导和转录激活因子3 (Signal Transducer and Activator of Transcription 3, STAT3)、和雌激素受体1 (Estrogen Receptor 1, ESR1)。富集的通路有cGMP-PKG信号通路、胆碱能突触(Cholinergic Synapse)、钙信号通路(Calcium Signaling Pathway)、雌激素信号通路(Estrogen Signaling Pathway)等。结论：中药复方治疗肝郁气滞型抑郁以安神、补虚、清热为主。核心中药包含多成分，作用于多靶点和多通路。

Abstract: Objective: To explore the pattern and possible mechanism of Chinese herbal compound for treating depression of liver qi stagnation type based on literature data mining and network pharmacology methods. Methods: Relevant literature was collected from CNKI, Wanfang Data and VIP Library since the establishment of the library. Medication patterns were demonstrated using radar charts. Correlation analysis and complex network analysis were performed using SPSS Modeler 18.0 and cluster analysis was performed using SPSS Statistics. TCMSP database was searched to obtain the active ingredients and targets of key herbal medicines. GeneCards database was used to obtain targets for depression. The targets were analyzed by protein-protein interaction network construction, gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment. Results: A total of 18 articles were collected from the literature related to the treatment of depression of liver qi stagnation type by Chinese herbal compound prescription, involving 19 Chinese herbal prescriptions and 67 Chinese herbal medicines, and three core components were obtained from the analysis. Analyzing the core components Radix Bupleuri, licorice and Poria Cocos (Schw.) Wolf., 80 active ingredients were obtained, targeting 65 depression-related targets. The core targets were prostaglandin-endoperoxide synthase 2 (PTGS2), apoptosis regulator Bcl-2 (BCL2), signal transducer and activator of transcription 3 (STAT3), and estrogen receptor 1 (ESR1). The enriched pathways were cGMP-PKG signalling pathway, Cholinergic synapse, Calcium signalling pathway and Estrogen signalling pathway. Conclusion: The treatment of depression of liver qi stagnation type by Chinese herbal compound is based on tranquilizing the spirit, tonifying deficiency and clearing heat. The core Chinese medicines contain multi-components and act on multi-targets and multi-pathways.