Chinese medicine(CM) is usually prescribed as CM formula to treat disease. The lack of effective research approach makes it difficult to elucidate the molecular mechanisms of CM formula owing to its complicated chemic...Chinese medicine(CM) is usually prescribed as CM formula to treat disease. The lack of effective research approach makes it difficult to elucidate the molecular mechanisms of CM formula owing to its complicated chemical compounds. Network pharmacology is increasingly applied in CM formula research in recent years, which is identified suitable for the study of CM formula. In this review, we summarized the methodology of network pharmacology, including network construction, network analysis and network verification. The aim of constructing a network is to achieve the interaction between the bioactive compounds and targets and the interaction between various targets, and then find out and validate the key nodes via network analysis and network verification. Besides, we reviewed the application in CM formula research, mainly including targets discovery, bioactive compounds screening, toxicity evaluation, mechanism research and quality control research. Finally, we proposed prospective in the future and limitations of network pharmacology, expecting to provide new strategy and thinking on study for CM formula.展开更多
Traditional Chinese Medicine（TCM）, a crucial component of the current medical system, has been extensively used in clinical practice due to its valuable therapeutic efficacy, and its potentials as an important sourc...Traditional Chinese Medicine（TCM）, a crucial component of the current medical system, has been extensively used in clinical practice due to its valuable therapeutic efficacy, and its potentials as an important source of new pharmacophores. TCM is characterized by holistic theory, which emphasizes maintaining the balance of the patient＇s whole body using herbal formulae（fangji in Chinese） composed of mixtures of herbs with multiple bioactive ingredients. Because of the complex nature of these formulae, it is necessary to develop systematic methods to identify their bioactive ingredients and to clarify their mechanisms of action. With the rapid progress in bioinformatics, systems biology, and polypharmacology, ＂network pharmacology＂, which shifts the ＂one target, one drug＂ paradigm to the ＂network target, multi-component＂ strategy, has attracted the attention because it can not only reveal the underlying complex interactions between a herbal formula and cellular proteins but detect the influence of their interactions on the function and behavior of the system. Growing evidence shows that the network pharmacology strategy can be a powerful approach to modern research on TCM. The present paper focuses on the basis of network pharmacology and the recent progress in its methodology, illustrates its utility in screening bioactive ingredients and elucidating the mechanisms of action of TCM herbal formulae, analyzes its limitations and problems, and discusses its development direction and application prospects.展开更多
目的:基于网络药理学研究土茯苓的活性成分及药理作用机制。方法:首先从TCMSP数据库中获取并筛选土茯苓活性成分,提取出相关作用靶点;然后将靶点数据导入CTD数据库分析获取相关疾病;接着,采用DAVID在线分析工具进行KEGG通路分析;最后运...目的:基于网络药理学研究土茯苓的活性成分及药理作用机制。方法:首先从TCMSP数据库中获取并筛选土茯苓活性成分,提取出相关作用靶点;然后将靶点数据导入CTD数据库分析获取相关疾病;接着,采用DAVID在线分析工具进行KEGG通路分析;最后运用Cytoscape软件构建网络图,并应用Network Analyzer插件进行网络分析,形成系统结果并进行评价。结果:共获得土茯苓的活性成分31个,通过进一步的筛选,确定15个主要活性成分进行进一步研究,提取出作用靶点323个,相关疾病618种,分属于28个疾病种类。发现土茯苓可能通过作用于炎症反应、肿瘤的发生发展及机体的自我保护与调节能力等方面发挥临床疗效,尤其在肿瘤、心血管、消化系统、神经系统及免疫系统等相关疾病治疗中更具优势,并预测肿瘤坏死因子(TNF)可能是其治疗效应的关键靶点,同时推测其主要作用机制可能与pathways in cancer,PI3K-Akt signaling pathway,hepatitis B,proteoglycans in cancer,prostate cancer等信号通路相关。结论:通过网络药理学方法系统性探索了其主要活性成分及药理作用机制,直观阐述了土茯苓的多成分、多靶点、多通路作用机制,为进一步的临床、实验研究及新药研发提供了思路和依据。展开更多
基金Supported by the National Natural Science Foundation of China(No.81530102)Guangdong Provincial Science and Technology Agency Special Funds(No.2017B050504005)Guangzhou City Science and Technology Agency Special Funds(No.201803010069)
文摘Chinese medicine(CM) is usually prescribed as CM formula to treat disease. The lack of effective research approach makes it difficult to elucidate the molecular mechanisms of CM formula owing to its complicated chemical compounds. Network pharmacology is increasingly applied in CM formula research in recent years, which is identified suitable for the study of CM formula. In this review, we summarized the methodology of network pharmacology, including network construction, network analysis and network verification. The aim of constructing a network is to achieve the interaction between the bioactive compounds and targets and the interaction between various targets, and then find out and validate the key nodes via network analysis and network verification. Besides, we reviewed the application in CM formula research, mainly including targets discovery, bioactive compounds screening, toxicity evaluation, mechanism research and quality control research. Finally, we proposed prospective in the future and limitations of network pharmacology, expecting to provide new strategy and thinking on study for CM formula.
基金National Natural Science Foundation of China(81225025)Beijing Nova Program(Z1511000003150126)
文摘Traditional Chinese Medicine（TCM）, a crucial component of the current medical system, has been extensively used in clinical practice due to its valuable therapeutic efficacy, and its potentials as an important source of new pharmacophores. TCM is characterized by holistic theory, which emphasizes maintaining the balance of the patient＇s whole body using herbal formulae（fangji in Chinese） composed of mixtures of herbs with multiple bioactive ingredients. Because of the complex nature of these formulae, it is necessary to develop systematic methods to identify their bioactive ingredients and to clarify their mechanisms of action. With the rapid progress in bioinformatics, systems biology, and polypharmacology, ＂network pharmacology＂, which shifts the ＂one target, one drug＂ paradigm to the ＂network target, multi-component＂ strategy, has attracted the attention because it can not only reveal the underlying complex interactions between a herbal formula and cellular proteins but detect the influence of their interactions on the function and behavior of the system. Growing evidence shows that the network pharmacology strategy can be a powerful approach to modern research on TCM. The present paper focuses on the basis of network pharmacology and the recent progress in its methodology, illustrates its utility in screening bioactive ingredients and elucidating the mechanisms of action of TCM herbal formulae, analyzes its limitations and problems, and discusses its development direction and application prospects.
文摘目的:基于网络药理学研究土茯苓的活性成分及药理作用机制。方法:首先从TCMSP数据库中获取并筛选土茯苓活性成分,提取出相关作用靶点;然后将靶点数据导入CTD数据库分析获取相关疾病;接着,采用DAVID在线分析工具进行KEGG通路分析;最后运用Cytoscape软件构建网络图,并应用Network Analyzer插件进行网络分析,形成系统结果并进行评价。结果:共获得土茯苓的活性成分31个,通过进一步的筛选,确定15个主要活性成分进行进一步研究,提取出作用靶点323个,相关疾病618种,分属于28个疾病种类。发现土茯苓可能通过作用于炎症反应、肿瘤的发生发展及机体的自我保护与调节能力等方面发挥临床疗效,尤其在肿瘤、心血管、消化系统、神经系统及免疫系统等相关疾病治疗中更具优势,并预测肿瘤坏死因子(TNF)可能是其治疗效应的关键靶点,同时推测其主要作用机制可能与pathways in cancer,PI3K-Akt signaling pathway,hepatitis B,proteoglycans in cancer,prostate cancer等信号通路相关。结论:通过网络药理学方法系统性探索了其主要活性成分及药理作用机制,直观阐述了土茯苓的多成分、多靶点、多通路作用机制,为进一步的临床、实验研究及新药研发提供了思路和依据。
