网络药理学——中药复方作用机制研究新视角
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摘要
网络药理学是融合系统生物学、网络生物学、计算生物学、多向药理学、分子药理学、分子动力学等多学科技术和内容,构建和整合"疾病-表型-基因-药物"多层次网络,分析药物在网络中与特定节点的相互作用关系,从系统、整体角度探索药物与机体相互作用的一门新学科。该学科为中药复方多靶点、多成分、整体性、系统性作用机制研究提供了强力的技术支撑,有助于揭示中药复方科学内涵、发现药物靶标、指导中药新药研发、传承和发展中医药理论。
Network pharmacology is a novel subject based on the construction of multi-layer networks of diseasephenotype-gene-drug to predict the drug targets in a holistic view, investigate the interaction between the drug and body by mapping drug, target networks onto biological networks, and promote efficiency of drug discovery, which integrates systems biology, network biology, biological network balance theory, multidisciplinary pharmacology, computational biology, and so on.These methods are widely used, including analytical chemistry, molecular pharmacology, molecular dynamics, animal model,network analysis, and computational method. Network pharmacology provides strong technical support for modern research on the mechanism of multiple targets, multiple components, holistic, systematic mechanism of traditional Chinese medicine formula,which will help system, profoundly reveal the scientific connotation of TCM formula, found drug target, guide the new drug research and development of TCM formula, and better inheritance and development of TCM theory.
Network pharmacology is a novel subject based on the construction of multi-layer networks of diseasephenotype-gene-drug to predict the drug targets in a holistic view, investigate the interaction between the drug and body by mapping drug, target networks onto biological networks, and promote efficiency of drug discovery, which integrates systems biology, network biology, biological network balance theory, multidisciplinary pharmacology, computational biology, and so on.These methods are widely used, including analytical chemistry, molecular pharmacology, molecular dynamics, animal model,network analysis, and computational method. Network pharmacology provides strong technical support for modern research on the mechanism of multiple targets, multiple components, holistic, systematic mechanism of traditional Chinese medicine formula,which will help system, profoundly reveal the scientific connotation of TCM formula, found drug target, guide the new drug research and development of TCM formula, and better inheritance and development of TCM theory.
引文
[1]陈海彬,周红光,吴勉华,等.代谢组学在中药现代化研究中的应用.中国中西医结合杂志,2012,32(6):831-835
[2]周红光,陈海彬,吴勉华,等.代谢组学在中药复方研究中的应用.中国药理学通报,2013,29(2):161-165
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[4]周文霞,程肖蕊,张永祥.网络药理学:认识药物及发现药物的新理念.中国药理学与毒理学杂志,2012,26(1):4-9
[5]Hopkins A L.Network pharmacology.Nature Biotechnology,2007,25(10):1110-1111
[6]Hopkins A L.Network pharmacology:the next paradigm in drug discovery.Nature Chem Biol,2008,4(11):682-690
[7]Hood L.Systems biology:Integrating technology,biology,and computation.Mech Ageing Dev,2003,124(1):9-16
[8]Zhao,P Jiang,W Zhang.Molecular networks for thestudy of TCM pharmacology.Briefings in Bioinformatics,2009,11(4):417-430
[9]Zhang R Z,Yu S J,Bai H,et al.TCM-Mesh:The database and analytical system for network pharmacology analysis for TCMpreparations.Sci Rep,2017,7(1):2821
[10]Li S,Zhang Z,Wu L,et al.Understanding ZHENG in traditional Chinese medicine in the context of neuro-endocrineimmunenetwork.IET Syst Biol,2007,1(1):51-60
[11]Hood L.Systems biology:new opportunities arising from genomics,proteomics and beyond.Exp Hematol,1998,26:681
[12]Barabasi A L,Oltvai Z N.Network biology:understanding the cell’s functional organization.Nat Rev Genet,2004,5(2):101-113
[13]Hillenmeyer M E,Fung E,Wildenhain J,et al.The chemical genomic portrait of yeast:Uncovering a phenotype for all genes.Science,2008,320(5874):362-365
[14]Chen Y,Zhu J,Lum P Y,et al.Variations in DNA elucidate molecular networks that cause disease.Nature,2008,452(7186):429-435
[15]Zeng L,Yang K.Exploring the pharmacological mechanism of Yanghe Decoction on HER2-positive breast cancer by a network pharmacology approach.Journal of Ethnopharmacology,2017,199:68-85
[16]Zeng L,Yang K,Liu H,Zhang G.A network pharmacology approach to investigate the pharmacological effects of Guizhi Fuling Wan on uterine fibroids.ExpTher Med,2017,14(5):4697-4710
[17]翟园园,刘其南,徐佳,等.基于网络药理学的二至丸保肝作用机制研究.药学学报,2018,53(4):567-573
[18]孙莉敏,刘丽芳,朱华旭,等.基于网络药理学的黄连解毒汤治疗阿尔兹海默症的作用机制研究.药学学报,2017,52(8):1268-1275
[19]尹芳,宋祯彦,李富周,等.基于网络药理学研究当归芍药散防治阿尔茨海默病的作用机制.药物评价研究,2018,41(2):210-215
[20]陶灵佳,任建琳,季青,等.健脾补肾复方治疗大肠癌靶点的网络药理学研究.中华中医药杂志,2017,32(4):1772-1774
[21]刘鑫馗,吴嘉瑞,蔺梦娟,等.基于网络药理学的吴茱萸汤作用机制分析.中国实验方剂学杂志,2017,23(16):203-210
[2]周红光,陈海彬,吴勉华,等.代谢组学在中药复方研究中的应用.中国药理学通报,2013,29(2):161-165
[3]陈海彬,程海波,周红光,等.系统生物学是中西医结合的桥梁.中国中西医结合杂志,2013,33(1):139-144
[4]周文霞,程肖蕊,张永祥.网络药理学:认识药物及发现药物的新理念.中国药理学与毒理学杂志,2012,26(1):4-9
[5]Hopkins A L.Network pharmacology.Nature Biotechnology,2007,25(10):1110-1111
[6]Hopkins A L.Network pharmacology:the next paradigm in drug discovery.Nature Chem Biol,2008,4(11):682-690
[7]Hood L.Systems biology:Integrating technology,biology,and computation.Mech Ageing Dev,2003,124(1):9-16
[8]Zhao,P Jiang,W Zhang.Molecular networks for thestudy of TCM pharmacology.Briefings in Bioinformatics,2009,11(4):417-430
[9]Zhang R Z,Yu S J,Bai H,et al.TCM-Mesh:The database and analytical system for network pharmacology analysis for TCMpreparations.Sci Rep,2017,7(1):2821
[10]Li S,Zhang Z,Wu L,et al.Understanding ZHENG in traditional Chinese medicine in the context of neuro-endocrineimmunenetwork.IET Syst Biol,2007,1(1):51-60
[11]Hood L.Systems biology:new opportunities arising from genomics,proteomics and beyond.Exp Hematol,1998,26:681
[12]Barabasi A L,Oltvai Z N.Network biology:understanding the cell’s functional organization.Nat Rev Genet,2004,5(2):101-113
[13]Hillenmeyer M E,Fung E,Wildenhain J,et al.The chemical genomic portrait of yeast:Uncovering a phenotype for all genes.Science,2008,320(5874):362-365
[14]Chen Y,Zhu J,Lum P Y,et al.Variations in DNA elucidate molecular networks that cause disease.Nature,2008,452(7186):429-435
[15]Zeng L,Yang K.Exploring the pharmacological mechanism of Yanghe Decoction on HER2-positive breast cancer by a network pharmacology approach.Journal of Ethnopharmacology,2017,199:68-85
[16]Zeng L,Yang K,Liu H,Zhang G.A network pharmacology approach to investigate the pharmacological effects of Guizhi Fuling Wan on uterine fibroids.ExpTher Med,2017,14(5):4697-4710
[17]翟园园,刘其南,徐佳,等.基于网络药理学的二至丸保肝作用机制研究.药学学报,2018,53(4):567-573
[18]孙莉敏,刘丽芳,朱华旭,等.基于网络药理学的黄连解毒汤治疗阿尔兹海默症的作用机制研究.药学学报,2017,52(8):1268-1275
[19]尹芳,宋祯彦,李富周,等.基于网络药理学研究当归芍药散防治阿尔茨海默病的作用机制.药物评价研究,2018,41(2):210-215
[20]陶灵佳,任建琳,季青,等.健脾补肾复方治疗大肠癌靶点的网络药理学研究.中华中医药杂志,2017,32(4):1772-1774
[21]刘鑫馗,吴嘉瑞,蔺梦娟,等.基于网络药理学的吴茱萸汤作用机制分析.中国实验方剂学杂志,2017,23(16):203-210