Chinese Medicine(CM)has been widely used as an important avenue for disease prevention and treatment in China especially in the form of CM prescriptions combining sets of herbs to address patients’symptoms and syndro...Chinese Medicine(CM)has been widely used as an important avenue for disease prevention and treatment in China especially in the form of CM prescriptions combining sets of herbs to address patients’symptoms and syndromes.However,the selection and compatibility of herbs are complex and abstract due to intrinsic relationships between herbal properties and their overall functions.Network analysis is applied to demonstrate the complex relationships between individual herbal efficacy and the overall function of CM prescriptions.To illustrate their connections and correlations,prescription function(PF),prescription herb(PH),and herbal efficacy(HE)intranetworks are proposed based on CM theory to identify relationships between herbs and prescriptions.These three networks are then connected by PF-PH and PH-HE interlayer networks adopting herb dosage to form a multidimensional heterogeneous network,a Prescription-Herb-Function Network(PHFN).The network is applied to 112 classic prescriptions from Treatise on Exogenous Febrile and Miscellaneous Diseases to illustrate the application of PHFN.The PHFN is constructed including 146 functions in PF intra network,89 herbs in the PH intra network,and 163 herbal efficacies in the HE intra network.The results show that herb pairs with synergistic actions have stronger relevance,such as licorice-cassia twig,licorice-Chinese date,fresh ginger-Chinese date,etc.The integration of dosage to the network helps to indicate the main herbs for cluster analysis and automatic formulation.PHFN also reveals the internal relationships between the functions of prescriptions and composed herbal efficacies.展开更多
Objective To analyze various herbal combinations in Treatise on Exogenous Febrile Diseases(Shang Han Lun,《伤寒论》)and Synopsis of Prescriptions of the Golden Chamber(Jin Gui Yao Lve,《金匮要略》),seeking to identify...Objective To analyze various herbal combinations in Treatise on Exogenous Febrile Diseases(Shang Han Lun,《伤寒论》)and Synopsis of Prescriptions of the Golden Chamber(Jin Gui Yao Lve,《金匮要略》),seeking to identify fundamental rules dictating the selection of herbal combinations through probability models and big data technology.Methods A total of 252 formulae were collected from Treatise on Exogenous Febrile Diseases(Shang Han Lun,《伤寒论》)and Synopsis of Prescriptions of the Golden Chamber(Jin Gui Yao Lve,《金匮要略》)by ZHANG Zhong-Jing.Formulae were then preprocessed with all herb names standardized.The concepts of candidate herb pair and candidate herb pair probability were proposed to analyze the rules of combinations in classical formulae based on probability statistics.MapReduce parallel computing framework of distributed big data technology was adopted to analyze large data samples combined with inverted index algorithm.Results The results showed that the core herbs were Glycyrrhizae Radix Rhizoma(Gan Cao,甘草),Cinnamomi Ramulus(Gui Zhi,桂枝),Zingiberis Rhizoma Recens(Sheng Jiang,生姜),Jujubae Fructus(Da Zao,大枣),Paeoniae Radix Alba(Bai Shao,白芍),etc.43 high-frequency pairs co-occurring 10 times or above were extracted,and 35 of these combinations were recognized as traditional herb pairs,such as Cinnamomi Ramulus(Gui Zhi,桂枝)-Glycyrrhizae Radix Rhizoma(Gan Cao,甘草),Zingiberis Rhizoma Recens(Sheng Jiang,生姜)-Jujubae Fructus(Da Zao,大枣),and Cinnamomi Ramulus(Gui Zhi,桂枝)-Ginseng Radix Et Rhizoma(Ren Shen,人参).The other 8 pairs of combinations,such as Paeoniae Radix Alba(Bai Shao,白芍)-Zingiberis Rhizoma Recens(Sheng Jiang,生姜),Paeoniae Radix Alba(Bai Shao,白芍)-Jujubae Fructus(Da Zao,大枣),and Zingiberis Rhizoma Recens(Sheng Jiang,生姜)-Ginseng Radix Et Rhizoma(Ren Shen,人参),were not defined traditionally,but in connection with commonly used herbs.Classical formulae took the core herbs as principles,focusing on tonifying deficiency,strengthening the spleen and the stomach,strengthening the healthy Qi,and eliminating pathogenic factors.The compatibility pattern of properties involved was mainly acrid and sweet,which reflected the compatibility laws of benefiting Qi and tonifying Yang,replenishing Qi and nourishing blood,etc.Conclusions The research of classical formulae provides common understanding of some basic rules that have been adopted to tackle common illnesses/diseases using herbal medicine.The results help to reinforce theoretical understanding and development of traditional Chinese medicine(TCM),and revealing the hidden rules of combination in TCM data.Analyzing wider data samples of various herbal combinations through computation and big data technology can further optimize the use of TCM.展开更多
Objective:To investigate the evolution of herbal medicine in treating tuberculosis(TB)and encourage anti-TB drug discovery and development.Methods:In this study,477 ancient traditional Chinese medicine formulae were c...Objective:To investigate the evolution of herbal medicine in treating tuberculosis(TB)and encourage anti-TB drug discovery and development.Methods:In this study,477 ancient traditional Chinese medicine formulae were collected from the Dictionary of Traditional Chinese Medicine Prescriptions and 172 modern Chinese medicine formulae(from 1986 to 2016)were collected by searching 4 databases:Wan Fang Data Knowledge Service Platform,China National Knowledge Infrastructure Database(CNKI),China Science and Technology Journal Database(VIP)and Chinese Bio-medical Literature and Retrieval System(Sino Med)in Chinese.We restricted the search to publications in Chinese.Further data analysis was done using the Traditional Chinese Medicine Inheritance Support System version 2 Software.Results:There were 425 herbs in the 477 ancient formulae and 257 herbs in the 172 modern formulae.Half of the top 30 herbs were shared by both modern and ancient prescriptions.They are Radix Ophiopogonis,Astragalus membranaceus,Fritillaria cirrhosa,Dried rehmannia glutinosa,Poria cocos,Angelica sinensis,Prepared rehmannia glutinosa,Platycodon Root,Radix paeoniae alba,Schisandra chinensis,Bighead atractylodes rhizome,Rhizoma anemarrhenae,Cortex lycii radicis and Radix Scutellariae.Only two groups of herbs with a high correlation coefficient were found in both modern and ancient prescriptions,the Dried rehmannia glutinosa with Radix ophiopogonis,and Radix ophiopogonis with Prepared rehmannia glutinosa.There were 9 and 15 core herb combinations in modern and ancient prescriptions,respectively,but no one was found simutaniously in both modern and ancient prescriptions.Conclusions:Although there were wide variations in the herb groups and herb combinations in the formulae,half of the top 30 herbs were found in both modern and ancient prescriptions.The core herb combinations in modern and ancient prescriptions could help us to improve the priscription for treatment of TB.展开更多
目的:对多种中药的活性成分进行提取并筛选出新的有效治疗阴道炎的组方。方法:参考中医验方,通过平板稀释法和K-B纸片法测定不同pH条件下中药提取物对大肠杆菌、金黄色葡萄球菌、绿脓杆菌和白色念球菌的抑菌效果。选择苦参、蛇床子、川...目的:对多种中药的活性成分进行提取并筛选出新的有效治疗阴道炎的组方。方法:参考中医验方,通过平板稀释法和K-B纸片法测定不同pH条件下中药提取物对大肠杆菌、金黄色葡萄球菌、绿脓杆菌和白色念球菌的抑菌效果。选择苦参、蛇床子、川椒和黄柏的提取物为组方成分,并通过正交实验确定各组分的最佳比例。建立小鼠、大鼠阴道炎模型,通过在体实验观察组方的抑菌效果。结果:中药组分的比例不同,其抑菌效果也不同。在pH 6的条件下,1 m l药液中含100μl蛇床子-川椒(2∶1)共提挥发油,苦参和黄柏醇提物各50μl时组方的抑菌效果最好。结论:该复方组分少,疗效佳,且适应于阴道炎患者阴道内的pH值范围,有望成为治疗阴道炎的有效药物。展开更多
文摘Chinese Medicine(CM)has been widely used as an important avenue for disease prevention and treatment in China especially in the form of CM prescriptions combining sets of herbs to address patients’symptoms and syndromes.However,the selection and compatibility of herbs are complex and abstract due to intrinsic relationships between herbal properties and their overall functions.Network analysis is applied to demonstrate the complex relationships between individual herbal efficacy and the overall function of CM prescriptions.To illustrate their connections and correlations,prescription function(PF),prescription herb(PH),and herbal efficacy(HE)intranetworks are proposed based on CM theory to identify relationships between herbs and prescriptions.These three networks are then connected by PF-PH and PH-HE interlayer networks adopting herb dosage to form a multidimensional heterogeneous network,a Prescription-Herb-Function Network(PHFN).The network is applied to 112 classic prescriptions from Treatise on Exogenous Febrile and Miscellaneous Diseases to illustrate the application of PHFN.The PHFN is constructed including 146 functions in PF intra network,89 herbs in the PH intra network,and 163 herbal efficacies in the HE intra network.The results show that herb pairs with synergistic actions have stronger relevance,such as licorice-cassia twig,licorice-Chinese date,fresh ginger-Chinese date,etc.The integration of dosage to the network helps to indicate the main herbs for cluster analysis and automatic formulation.PHFN also reveals the internal relationships between the functions of prescriptions and composed herbal efficacies.
基金funding support from the Key Technology Research and Development Program from Ministry of Science and Technology of the People’s Republic of China (No. 2017YFC1703306)Key Project of Science and Technology of Hunan Province (No. 2017SK2111)+2 种基金Natural Science Foundation of Hunan Province (No. 2018JJ2301)Scientific Research Foundation of Hunan Provincial Education Department (No. 18A227, No. 18C0380 and No. 18K070)Open Fund for Computer Science and Technology of Hunan University of Chinese Medicine (No. 2018JK04)
文摘Objective To analyze various herbal combinations in Treatise on Exogenous Febrile Diseases(Shang Han Lun,《伤寒论》)and Synopsis of Prescriptions of the Golden Chamber(Jin Gui Yao Lve,《金匮要略》),seeking to identify fundamental rules dictating the selection of herbal combinations through probability models and big data technology.Methods A total of 252 formulae were collected from Treatise on Exogenous Febrile Diseases(Shang Han Lun,《伤寒论》)and Synopsis of Prescriptions of the Golden Chamber(Jin Gui Yao Lve,《金匮要略》)by ZHANG Zhong-Jing.Formulae were then preprocessed with all herb names standardized.The concepts of candidate herb pair and candidate herb pair probability were proposed to analyze the rules of combinations in classical formulae based on probability statistics.MapReduce parallel computing framework of distributed big data technology was adopted to analyze large data samples combined with inverted index algorithm.Results The results showed that the core herbs were Glycyrrhizae Radix Rhizoma(Gan Cao,甘草),Cinnamomi Ramulus(Gui Zhi,桂枝),Zingiberis Rhizoma Recens(Sheng Jiang,生姜),Jujubae Fructus(Da Zao,大枣),Paeoniae Radix Alba(Bai Shao,白芍),etc.43 high-frequency pairs co-occurring 10 times or above were extracted,and 35 of these combinations were recognized as traditional herb pairs,such as Cinnamomi Ramulus(Gui Zhi,桂枝)-Glycyrrhizae Radix Rhizoma(Gan Cao,甘草),Zingiberis Rhizoma Recens(Sheng Jiang,生姜)-Jujubae Fructus(Da Zao,大枣),and Cinnamomi Ramulus(Gui Zhi,桂枝)-Ginseng Radix Et Rhizoma(Ren Shen,人参).The other 8 pairs of combinations,such as Paeoniae Radix Alba(Bai Shao,白芍)-Zingiberis Rhizoma Recens(Sheng Jiang,生姜),Paeoniae Radix Alba(Bai Shao,白芍)-Jujubae Fructus(Da Zao,大枣),and Zingiberis Rhizoma Recens(Sheng Jiang,生姜)-Ginseng Radix Et Rhizoma(Ren Shen,人参),were not defined traditionally,but in connection with commonly used herbs.Classical formulae took the core herbs as principles,focusing on tonifying deficiency,strengthening the spleen and the stomach,strengthening the healthy Qi,and eliminating pathogenic factors.The compatibility pattern of properties involved was mainly acrid and sweet,which reflected the compatibility laws of benefiting Qi and tonifying Yang,replenishing Qi and nourishing blood,etc.Conclusions The research of classical formulae provides common understanding of some basic rules that have been adopted to tackle common illnesses/diseases using herbal medicine.The results help to reinforce theoretical understanding and development of traditional Chinese medicine(TCM),and revealing the hidden rules of combination in TCM data.Analyzing wider data samples of various herbal combinations through computation and big data technology can further optimize the use of TCM.
基金Supported by National Natural Science Foundation of China(No.81871691)Beijing Municipal Administration of Hospitals Clinical Medicine Development of Special Funding(No.XMLX201812)。
文摘Objective:To investigate the evolution of herbal medicine in treating tuberculosis(TB)and encourage anti-TB drug discovery and development.Methods:In this study,477 ancient traditional Chinese medicine formulae were collected from the Dictionary of Traditional Chinese Medicine Prescriptions and 172 modern Chinese medicine formulae(from 1986 to 2016)were collected by searching 4 databases:Wan Fang Data Knowledge Service Platform,China National Knowledge Infrastructure Database(CNKI),China Science and Technology Journal Database(VIP)and Chinese Bio-medical Literature and Retrieval System(Sino Med)in Chinese.We restricted the search to publications in Chinese.Further data analysis was done using the Traditional Chinese Medicine Inheritance Support System version 2 Software.Results:There were 425 herbs in the 477 ancient formulae and 257 herbs in the 172 modern formulae.Half of the top 30 herbs were shared by both modern and ancient prescriptions.They are Radix Ophiopogonis,Astragalus membranaceus,Fritillaria cirrhosa,Dried rehmannia glutinosa,Poria cocos,Angelica sinensis,Prepared rehmannia glutinosa,Platycodon Root,Radix paeoniae alba,Schisandra chinensis,Bighead atractylodes rhizome,Rhizoma anemarrhenae,Cortex lycii radicis and Radix Scutellariae.Only two groups of herbs with a high correlation coefficient were found in both modern and ancient prescriptions,the Dried rehmannia glutinosa with Radix ophiopogonis,and Radix ophiopogonis with Prepared rehmannia glutinosa.There were 9 and 15 core herb combinations in modern and ancient prescriptions,respectively,but no one was found simutaniously in both modern and ancient prescriptions.Conclusions:Although there were wide variations in the herb groups and herb combinations in the formulae,half of the top 30 herbs were found in both modern and ancient prescriptions.The core herb combinations in modern and ancient prescriptions could help us to improve the priscription for treatment of TB.
文摘目的:对多种中药的活性成分进行提取并筛选出新的有效治疗阴道炎的组方。方法:参考中医验方,通过平板稀释法和K-B纸片法测定不同pH条件下中药提取物对大肠杆菌、金黄色葡萄球菌、绿脓杆菌和白色念球菌的抑菌效果。选择苦参、蛇床子、川椒和黄柏的提取物为组方成分,并通过正交实验确定各组分的最佳比例。建立小鼠、大鼠阴道炎模型,通过在体实验观察组方的抑菌效果。结果:中药组分的比例不同,其抑菌效果也不同。在pH 6的条件下,1 m l药液中含100μl蛇床子-川椒(2∶1)共提挥发油,苦参和黄柏醇提物各50μl时组方的抑菌效果最好。结论:该复方组分少,疗效佳,且适应于阴道炎患者阴道内的pH值范围,有望成为治疗阴道炎的有效药物。
