网络中药药理学研究进展
|
摘要
中医药治疗的特色是对复杂性疾病从总体角度出发,进行整体疾病的辨证论治,并将疾病的病因,机制从整体的角度进行把握,运用方剂时,使用"君、臣、佐、使"的方式进行药物的搭配,通过多味药物进行协调,从患者的整体出发,实现对机体紊乱的调节。随着网络药理学运用到中药学,药物成分的研究从单一活性成分的研究思路向整体性和系统性研究的转变。从网络药理学,分析技术,中药有效活性成分靶向的预测和药理作用机理进行研究、中药活性成分的发现,新适应症和新组方等几个方面,对网络中药药理学的最新应用进展进行综述。
TCM has the characteristics of diagnosing and treating diseases from an overall angle. When formulas are applied,it can regulate the body disorder with the holism by matching the chief herb,deputy herb,assistant herb and envoy herb. With the application of the concept of network pharmacology into Chinese materia medica,the ideas of single component research has begun converting into the ideas of integral and systematic researches. This study summarized the latest application progress of the network of Chinese Pharmacology from the aspect of the network pharmacology concepts,analytical techniques,the identification of the active ingredients of Chinese medicinal,the target prediction and pharmacological mechanisms,new indications and new formulas.
TCM has the characteristics of diagnosing and treating diseases from an overall angle. When formulas are applied,it can regulate the body disorder with the holism by matching the chief herb,deputy herb,assistant herb and envoy herb. With the application of the concept of network pharmacology into Chinese materia medica,the ideas of single component research has begun converting into the ideas of integral and systematic researches. This study summarized the latest application progress of the network of Chinese Pharmacology from the aspect of the network pharmacology concepts,analytical techniques,the identification of the active ingredients of Chinese medicinal,the target prediction and pharmacological mechanisms,new indications and new formulas.
引文
[1] ZHAO R L,HE Y M. Network pharmacology analysis of the anti-cancer pharmacological mechanisms of Ganoderma lucidum extract with experimental support using Hepa1-6-bearing C57 BL/6 mice[J]. J Ethnopharmacol,2018,210:287-295.
[2] LYU M,YAN C L,Liu H X,et al. Network pharmacology exploration reveals endothelial inflammation as a common mechanism for stroke and coronary artery disease treatment of Danhong injection[J]. Sci Rep,2017,7(1):15427.
[3] LU C L,ZHENG Q,SHEN Q,et al. Uncovering the relationship and mechanisms of Tartary buckwheat(Fagopyrum tataricum)and Type II diabetes,hypertension,and hyperlipidemia using a network pharmacology approach[J]. Peer J,2017,5:4042.
[4] PEREIRA A,BESTER M J,APOSTOLIDES Z. Exploring the antiproliferative activity of Pelargonium sidoides DC with in silico target identification and network pharmacology[J]. Mol Divers,2017,21(4):809-820.
[5] HONG M,ZHANG Y,Li S,et al. A Network Pharmacology-Based Study on the Hepatoprotective Effect of Fructus Schisandrae[J]. Molecules,2017,22(10).
[6] TANG H C,HUANG H J,LEE C C,et al. Network pharmacologybased approach of novel traditional Chinese medicine formula for treatment of acute skin inflammation in silico[J]. Comput Biol Chem,2017,71:70-81.
[7] ZHANG B,WANG X,Li S. An Integrative Platform of TCM Network Pharmacology and Its Application on a Herbal Formula,Qing-LuoYin[J]. Evid Based Complement Alternat Med,2013,2013:456747.
[8]刘庆山,张梓倩,方亮,等.高通量技术与网络药理学在中药活性成分筛选中的应用[J].中国中药杂志,2012,37(2):134-137.
[9] LI H,ZHAO L,ZHANG B,et al. A network pharmacology approach to determine active compounds and action mechanisms of ge-gen-qinlian decoction for treatment of type 2 diabetes[J]. Evid Based Complement Alternat Med,2014,2014:495840.
[10]苑婕,李晓杰,陈超,等.基于随机森林算法的川芎成分-靶点-疾病网络的预测研究[J].中国中药杂志,2014,39(12):2336-2340.
[11]刘忠政,梁洁萍,聂怡初,等.复方血栓通胶囊基于血液循环和凝血过程相关靶点的网络药理学研究[J].中山大学学报(自然科学版),2013,52(2):97-100.
[12] Ye H,Ye L,Kang H,et al. HIT:linking herbal active ingredients to targets[J]. Nucleic Acids Res,2011,39(Database issue):D1055-D1059.
[13]李翔,吴磊宏,范骁辉,等.复方丹参方主要活性成分网络药理学研究[J].中国中药杂志,2011,36(21):2911-2915.
[14]吕明,王泰一,田晓轩,等.网络药理学分析揭示的常用活血化瘀中药抗炎-抗血栓作用[J].药学学报,2015(09):1135-1141.
[15]牛旭艳,李健,吕诚,等.类风湿性关节炎热证“药-证对应”机制的网络药理学研究[J].中国实验方剂学杂志,2012,18(8):299-303.
[16]吴钉红.网络药理学及其在中药领域的研究概述[J].广州化工,2017,45(11):216-218.
[17]王冬梅,古江勇,朱伟,等.古方“四物汤”治疗银屑病计算机网络药理学研究[J].计算机与应用化学,2013(3):236-240.
[18]黄卉,曲育莹,王秋玲,等.金龙胶囊抗脑肿瘤的系统生物学研究[J].中国肿瘤临床,2014(13):856-860.
[19] ZHANG X,GU J,CAO L,et al. Network pharmacology study on the mechanism of traditional Chinese medicine for upper respiratory tract infection[J]. Mol Biosyst,2014,10(10):2517-2525.
[20] SHENG S,WANG J,WANG L,et al. Network pharmacology analyses of the antithrombotic pharmacological mechanism of Fufang Xueshuantong Capsule with experimental support using disseminated intravascular coagulation rats[J]. J Ethnopharmacol,2014,154(3):735-744.
[21]潘宇,李顺祥,黄丹,等.基于网络药理学预测肝复乐治疗肝细胞癌的抗癌活性成分[Z].长沙:20141490-1498.
[22]何星垚,刘珺,罗春,等.银杏叶治疗高脂血症的网络药理学研究[J].中国医院药学杂志,2016,36(10):787-791.
[23] GU J,GUI Y,CHEN L,et al. Use of natural products as chemical library for drug discovery and network pharmacology[J]. PLo S One,2013,8(4):e62839.
[24] GU J,GUI Y,CHEN L,et al. CVDHD:a cardiovascular disease herbal database for drug discovery and network pharmacology[J]. J Cheminform,2013,5(1):51.
[25] SUN H,ZHANG A,YAN G,et al. Proteomics study on the hepatoprotective effects of traditional Chinese medicine formulae Yin-ChenHao-Tang by a combination of two-dimensional polyacrylamide gel electrophoresis and matrix-assisted laser desorption/ionization-time of flight mass spectrometry[J]. J Pharm Biomed Anal,2013,75:173-179.
[26]张国华.血府逐瘀汤、温胆汤、天麻钩藤饮对SHR大鼠心肌组织TNF-α、IFN-γ、G-CSF、MCP-1表达的影响[J].山东医药,2013,53(15):26-28.
[27]凌仕良,栾智宇,黄琼.柴胡疏肝散合茵陈蒿汤治疗肝癌阻塞性黄疸1例[J].浙江中医杂志,2015,50(12):889.
[28]李欣荣.试从宁气血、清热毒的角度论治癌性疼痛[J].中国中医急症,2017,26(3):552-553,557.
[29]张建永,王岚,梁日欣,等.基于网络药理学分析丹参山楂组分配伍抗动脉粥样硬化的作用机制研究[J].中国中药杂志,2016,41(23):4408-4415.
[30]范骁辉,肖舜,艾妮,等.基于网络方剂学的小青龙汤类方功效物质组研究[J].中国中药杂志,2015,40(13):2634-2638.
[31]韩彦琪,孟凡翠,许浚,等.基于网络药理学方法的元胡止痛滴丸治疗原发性痛经的配伍合理性研究[J].中草药,2017,48(3):526-532.
[32] TAO W,XU X,WANG X,et al. Network pharmacology-based prediction of the active ingredients and potential targets of Chinese herbal Radix Curcumae formula for application to cardiovascular disease[J].J Ethnopharmacol,2013,145(1):1-10.
[33] YUAN H,MA Q,CuiUI H,et al. How Can Synergism of Traditional Medicines Benefit from Network Pharmacology?[J]. Molecules,2017,22(7).
[34] ZHANG R Z,YU S J,BAI H,et al. TCM-Mesh:The database and analytical system for network pharmacology analysis for TCM preparations[J]. Sci Rep,2017,7(1):2821.
[2] LYU M,YAN C L,Liu H X,et al. Network pharmacology exploration reveals endothelial inflammation as a common mechanism for stroke and coronary artery disease treatment of Danhong injection[J]. Sci Rep,2017,7(1):15427.
[3] LU C L,ZHENG Q,SHEN Q,et al. Uncovering the relationship and mechanisms of Tartary buckwheat(Fagopyrum tataricum)and Type II diabetes,hypertension,and hyperlipidemia using a network pharmacology approach[J]. Peer J,2017,5:4042.
[4] PEREIRA A,BESTER M J,APOSTOLIDES Z. Exploring the antiproliferative activity of Pelargonium sidoides DC with in silico target identification and network pharmacology[J]. Mol Divers,2017,21(4):809-820.
[5] HONG M,ZHANG Y,Li S,et al. A Network Pharmacology-Based Study on the Hepatoprotective Effect of Fructus Schisandrae[J]. Molecules,2017,22(10).
[6] TANG H C,HUANG H J,LEE C C,et al. Network pharmacologybased approach of novel traditional Chinese medicine formula for treatment of acute skin inflammation in silico[J]. Comput Biol Chem,2017,71:70-81.
[7] ZHANG B,WANG X,Li S. An Integrative Platform of TCM Network Pharmacology and Its Application on a Herbal Formula,Qing-LuoYin[J]. Evid Based Complement Alternat Med,2013,2013:456747.
[8]刘庆山,张梓倩,方亮,等.高通量技术与网络药理学在中药活性成分筛选中的应用[J].中国中药杂志,2012,37(2):134-137.
[9] LI H,ZHAO L,ZHANG B,et al. A network pharmacology approach to determine active compounds and action mechanisms of ge-gen-qinlian decoction for treatment of type 2 diabetes[J]. Evid Based Complement Alternat Med,2014,2014:495840.
[10]苑婕,李晓杰,陈超,等.基于随机森林算法的川芎成分-靶点-疾病网络的预测研究[J].中国中药杂志,2014,39(12):2336-2340.
[11]刘忠政,梁洁萍,聂怡初,等.复方血栓通胶囊基于血液循环和凝血过程相关靶点的网络药理学研究[J].中山大学学报(自然科学版),2013,52(2):97-100.
[12] Ye H,Ye L,Kang H,et al. HIT:linking herbal active ingredients to targets[J]. Nucleic Acids Res,2011,39(Database issue):D1055-D1059.
[13]李翔,吴磊宏,范骁辉,等.复方丹参方主要活性成分网络药理学研究[J].中国中药杂志,2011,36(21):2911-2915.
[14]吕明,王泰一,田晓轩,等.网络药理学分析揭示的常用活血化瘀中药抗炎-抗血栓作用[J].药学学报,2015(09):1135-1141.
[15]牛旭艳,李健,吕诚,等.类风湿性关节炎热证“药-证对应”机制的网络药理学研究[J].中国实验方剂学杂志,2012,18(8):299-303.
[16]吴钉红.网络药理学及其在中药领域的研究概述[J].广州化工,2017,45(11):216-218.
[17]王冬梅,古江勇,朱伟,等.古方“四物汤”治疗银屑病计算机网络药理学研究[J].计算机与应用化学,2013(3):236-240.
[18]黄卉,曲育莹,王秋玲,等.金龙胶囊抗脑肿瘤的系统生物学研究[J].中国肿瘤临床,2014(13):856-860.
[19] ZHANG X,GU J,CAO L,et al. Network pharmacology study on the mechanism of traditional Chinese medicine for upper respiratory tract infection[J]. Mol Biosyst,2014,10(10):2517-2525.
[20] SHENG S,WANG J,WANG L,et al. Network pharmacology analyses of the antithrombotic pharmacological mechanism of Fufang Xueshuantong Capsule with experimental support using disseminated intravascular coagulation rats[J]. J Ethnopharmacol,2014,154(3):735-744.
[21]潘宇,李顺祥,黄丹,等.基于网络药理学预测肝复乐治疗肝细胞癌的抗癌活性成分[Z].长沙:20141490-1498.
[22]何星垚,刘珺,罗春,等.银杏叶治疗高脂血症的网络药理学研究[J].中国医院药学杂志,2016,36(10):787-791.
[23] GU J,GUI Y,CHEN L,et al. Use of natural products as chemical library for drug discovery and network pharmacology[J]. PLo S One,2013,8(4):e62839.
[24] GU J,GUI Y,CHEN L,et al. CVDHD:a cardiovascular disease herbal database for drug discovery and network pharmacology[J]. J Cheminform,2013,5(1):51.
[25] SUN H,ZHANG A,YAN G,et al. Proteomics study on the hepatoprotective effects of traditional Chinese medicine formulae Yin-ChenHao-Tang by a combination of two-dimensional polyacrylamide gel electrophoresis and matrix-assisted laser desorption/ionization-time of flight mass spectrometry[J]. J Pharm Biomed Anal,2013,75:173-179.
[26]张国华.血府逐瘀汤、温胆汤、天麻钩藤饮对SHR大鼠心肌组织TNF-α、IFN-γ、G-CSF、MCP-1表达的影响[J].山东医药,2013,53(15):26-28.
[27]凌仕良,栾智宇,黄琼.柴胡疏肝散合茵陈蒿汤治疗肝癌阻塞性黄疸1例[J].浙江中医杂志,2015,50(12):889.
[28]李欣荣.试从宁气血、清热毒的角度论治癌性疼痛[J].中国中医急症,2017,26(3):552-553,557.
[29]张建永,王岚,梁日欣,等.基于网络药理学分析丹参山楂组分配伍抗动脉粥样硬化的作用机制研究[J].中国中药杂志,2016,41(23):4408-4415.
[30]范骁辉,肖舜,艾妮,等.基于网络方剂学的小青龙汤类方功效物质组研究[J].中国中药杂志,2015,40(13):2634-2638.
[31]韩彦琪,孟凡翠,许浚,等.基于网络药理学方法的元胡止痛滴丸治疗原发性痛经的配伍合理性研究[J].中草药,2017,48(3):526-532.
[32] TAO W,XU X,WANG X,et al. Network pharmacology-based prediction of the active ingredients and potential targets of Chinese herbal Radix Curcumae formula for application to cardiovascular disease[J].J Ethnopharmacol,2013,145(1):1-10.
[33] YUAN H,MA Q,CuiUI H,et al. How Can Synergism of Traditional Medicines Benefit from Network Pharmacology?[J]. Molecules,2017,22(7).
[34] ZHANG R Z,YU S J,BAI H,et al. TCM-Mesh:The database and analytical system for network pharmacology analysis for TCM preparations[J]. Sci Rep,2017,7(1):2821.