Objective:To investigate potential mechanism of Prostate prescriptionⅠin the treatment of chronic prostatitis based on integrated pharmacology.Methods:with the help of TCMIP,the effective compounds of Prostate prescr...Objective:To investigate potential mechanism of Prostate prescriptionⅠin the treatment of chronic prostatitis based on integrated pharmacology.Methods:with the help of TCMIP,the effective compounds of Prostate prescriptionⅠwere screened,and the potential target database of Prostate prescriptionⅠwas established by using the target prediction function of TCMIP.Based on the Human Phenotype Ontology database and protein interaction network(PPI)database,the disease target of CP was identified and the target interaction network was constructed;Through the GO function analysis and KEGG pathway enrichment analysis of the candidate targets,combined with Chinese and foreign literature studies to predict the potential Signaling pathway of Prostate prescriptionⅠin the treatment of CP.Results:79 effective compounds of Prostate prescriptionⅠexerted its effect on 33 targets through 11 pathways.Conclusion:Clinical efficacy of Prostate prescriptionⅠon CP may be reflected in antiinflammation and anti-tumor,cell metabolism,immune regulation,neuroregulation and so on.展开更多
Objective: To summarize the rule of application of traditional Chinese medicine (TCM) in the prevention and treatment of cervical cancer, and to explore the molecular mechanism of the compatibility of core herbs. Meth...Objective: To summarize the rule of application of traditional Chinese medicine (TCM) in the prevention and treatment of cervical cancer, and to explore the molecular mechanism of the compatibility of core herbs. Methods: Collect relevant literatures on cervical cancer in Chinese National Knowledgey Ifrastructure (CNKI), use TCM inheritance platform system (TCMISSV2.5) for association rules and complex system entropy clustering analysis;use BATMAN-TCM online analysis tools to construct target-pathway-disease network to reveal the underlying mechanisms of action. Results: Among the 78 prescriptions selected, a total of 172 Chinese medicines were used, and the five most frequently used herbs were Huang-bo (Phellodendri Chinrnsis Cortex), Fu-ling (Poria Cocos), Huang-qi (Hedysarum Multijugum Maxim.), Bai-hua-she-she-cao (Hedyotis Diffusae Herba) and Gan-cao (Licorice). Bai-hua-she-she-cao (Hedyotis Diffusae Herba) and Huang-qi (Hedysarum Multijugum Maxim.), Bai-hua-she-she-cao (Hedyotis Diffusae Herba) and Fu-ling (Poria Cocos), Bai-zhu (Atractylodes Macrocephala Koidz.) and Fu-ling (Poria Cocos) are the three most commonly used medicine match. In addition, through cluster analysis, a total of 4 core herbs compatibility and 2 new prescriptions were excavated. Herbs in the new prescriptions which are used to clearing heat-toxin and removing dampness were most frequently used. Through the analysis of the signal pathway of high frequency Chinese medicines, we found that neuroactive ligand-receptor interaction pathway may play important roles. Conclusion: The core Chinese medicines for the prevention and treatment of cervical cancer are mainly clearing heat-toxin and removing dampness. The core Chinese medicines may play their anti-cervical cancer by interfering with the neuroactive ligand-receptor interaction signaling pathway.展开更多
Traditional Chinese Medicine(TCM)has been extensively used as a mainstay for treating various pathologies.Combing the pharmacology and systems biology approaches,the network pharmacology(NP)approach was developed to p...Traditional Chinese Medicine(TCM)has been extensively used as a mainstay for treating various pathologies.Combing the pharmacology and systems biology approaches,the network pharmacology(NP)approach was developed to predict the probable mechanism underlying the therapeutic effect of TCM.However,approaches solely based on NP cannot effectively elucidate the curative mechanism in a holistic and reliable manner due to limitations in NP-based methods and complexity of TCM components.Thus,integration strategies combining NP with other approaches are increasingly being used.Since the interdisciplinary research in TCM has received much attention in the advent of the big data era of which the NPbased integration strategy is broadly used,the strategy is clearly elaborated in the present review.We summarized several NP-based integration strategies and their applications in TCM studies,including multi-omics approach,gut microbiota study,chemical information analysis,data-mining,and network toxicology study.展开更多
There is a global movement calling for the integration of Western medicine（WM）and traditional Chinese medicine（TCM）[1].The World Health Organization suggests that health care would be improved by integrating tradi...There is a global movement calling for the integration of Western medicine（WM）and traditional Chinese medicine（TCM）[1].The World Health Organization suggests that health care would be improved by integrating traditional and complementary medicines into the practices of health care service delivery and self-health care[1].The WM and TCM are commonly integrated in the contemporary practice of medicine in China.展开更多
目的 利用网络药理学和生信分析来探究委陵菜治疗胃癌的有效机理。方法 采用的数据库信息网络平台属于中药系统药理学的范围(the traditional Chinese medicine database analysis platform, TCMSP),并在其中建立了特殊的筛查标准,以确...目的 利用网络药理学和生信分析来探究委陵菜治疗胃癌的有效机理。方法 采用的数据库信息网络平台属于中药系统药理学的范围(the traditional Chinese medicine database analysis platform, TCMSP),并在其中建立了特殊的筛查标准,以确保委陵菜中所含有的有效成分被准确检测出来。经过研究发现委陵菜的主要活性成分的靶点可以在多个数据集中得到,包括Swiss、SEA、TCMSP、PharmMapper等。从GEO(取3个GSE文件)数据库获取胃癌的主要作用靶点,将以上4个数据库预测的药物靶点与3个GSE数据集预测的胃癌靶点取交集得到委陵菜与胃癌的共同靶点;通过STRING数据库对两者的共同靶点进行蛋白互作(protein-protein interaction network, PPI)网络分析搭建了PPI模型,探索委陵菜和胃癌之间的关联性。通过Metascape平台对委陵菜与胃癌的共同靶点进行GO与KEGG富集分析,同时采用微生信在线生物信息学分析、可视化云平台进行可视化分析。结果 利用TCMSP平台筛选得委陵菜6种有效活性成分及748个作用靶点,3个GSE数据集得到胃癌靶点833个,取交集得到委陵菜与胃癌的49个共同靶点;委陵菜治疗胃癌的有效活性成分分别为丁子香萜、鞣花酸、异鼠李素、槲皮素、山柰酚、β-谷甾醇等;对应的靶点分别为CXCL8、SERPINE1、SPP1、CYP2C19、GSTA1等;主要通过PI3K-Akt、MAPK、P53等信号通路发挥作用。结论 委陵菜治疗胃癌的特点主要有成分复杂、靶点丰富、通路繁多,结合网络药理学理论,再通过生信分析预测到委陵菜可能通过PI3K-Akt、MAPK、P53等相关通路能够产生治疗胃癌的效果,从理论层面为胃癌的相关探索提供参考。展开更多
基金Natural Science Foundation of Jiangsu Province(No.BK20191498)Major School-level Project of Jiangsu Vocational College of Health and Health(No.JKA201903)。
文摘Objective:To investigate potential mechanism of Prostate prescriptionⅠin the treatment of chronic prostatitis based on integrated pharmacology.Methods:with the help of TCMIP,the effective compounds of Prostate prescriptionⅠwere screened,and the potential target database of Prostate prescriptionⅠwas established by using the target prediction function of TCMIP.Based on the Human Phenotype Ontology database and protein interaction network(PPI)database,the disease target of CP was identified and the target interaction network was constructed;Through the GO function analysis and KEGG pathway enrichment analysis of the candidate targets,combined with Chinese and foreign literature studies to predict the potential Signaling pathway of Prostate prescriptionⅠin the treatment of CP.Results:79 effective compounds of Prostate prescriptionⅠexerted its effect on 33 targets through 11 pathways.Conclusion:Clinical efficacy of Prostate prescriptionⅠon CP may be reflected in antiinflammation and anti-tumor,cell metabolism,immune regulation,neuroregulation and so on.
基金the National Natural Science Foundation of Hebei (NO.H2018201179)Hebei University of Science and Technology (NO. QN2016077)the Health and Family Planning Commission of Hebei (NO. 20160388).
文摘Objective: To summarize the rule of application of traditional Chinese medicine (TCM) in the prevention and treatment of cervical cancer, and to explore the molecular mechanism of the compatibility of core herbs. Methods: Collect relevant literatures on cervical cancer in Chinese National Knowledgey Ifrastructure (CNKI), use TCM inheritance platform system (TCMISSV2.5) for association rules and complex system entropy clustering analysis;use BATMAN-TCM online analysis tools to construct target-pathway-disease network to reveal the underlying mechanisms of action. Results: Among the 78 prescriptions selected, a total of 172 Chinese medicines were used, and the five most frequently used herbs were Huang-bo (Phellodendri Chinrnsis Cortex), Fu-ling (Poria Cocos), Huang-qi (Hedysarum Multijugum Maxim.), Bai-hua-she-she-cao (Hedyotis Diffusae Herba) and Gan-cao (Licorice). Bai-hua-she-she-cao (Hedyotis Diffusae Herba) and Huang-qi (Hedysarum Multijugum Maxim.), Bai-hua-she-she-cao (Hedyotis Diffusae Herba) and Fu-ling (Poria Cocos), Bai-zhu (Atractylodes Macrocephala Koidz.) and Fu-ling (Poria Cocos) are the three most commonly used medicine match. In addition, through cluster analysis, a total of 4 core herbs compatibility and 2 new prescriptions were excavated. Herbs in the new prescriptions which are used to clearing heat-toxin and removing dampness were most frequently used. Through the analysis of the signal pathway of high frequency Chinese medicines, we found that neuroactive ligand-receptor interaction pathway may play important roles. Conclusion: The core Chinese medicines for the prevention and treatment of cervical cancer are mainly clearing heat-toxin and removing dampness. The core Chinese medicines may play their anti-cervical cancer by interfering with the neuroactive ligand-receptor interaction signaling pathway.
文摘Traditional Chinese Medicine(TCM)has been extensively used as a mainstay for treating various pathologies.Combing the pharmacology and systems biology approaches,the network pharmacology(NP)approach was developed to predict the probable mechanism underlying the therapeutic effect of TCM.However,approaches solely based on NP cannot effectively elucidate the curative mechanism in a holistic and reliable manner due to limitations in NP-based methods and complexity of TCM components.Thus,integration strategies combining NP with other approaches are increasingly being used.Since the interdisciplinary research in TCM has received much attention in the advent of the big data era of which the NPbased integration strategy is broadly used,the strategy is clearly elaborated in the present review.We summarized several NP-based integration strategies and their applications in TCM studies,including multi-omics approach,gut microbiota study,chemical information analysis,data-mining,and network toxicology study.
文摘There is a global movement calling for the integration of Western medicine（WM）and traditional Chinese medicine（TCM）[1].The World Health Organization suggests that health care would be improved by integrating traditional and complementary medicines into the practices of health care service delivery and self-health care[1].The WM and TCM are commonly integrated in the contemporary practice of medicine in China.
文摘目的 利用网络药理学和生信分析来探究委陵菜治疗胃癌的有效机理。方法 采用的数据库信息网络平台属于中药系统药理学的范围(the traditional Chinese medicine database analysis platform, TCMSP),并在其中建立了特殊的筛查标准,以确保委陵菜中所含有的有效成分被准确检测出来。经过研究发现委陵菜的主要活性成分的靶点可以在多个数据集中得到,包括Swiss、SEA、TCMSP、PharmMapper等。从GEO(取3个GSE文件)数据库获取胃癌的主要作用靶点,将以上4个数据库预测的药物靶点与3个GSE数据集预测的胃癌靶点取交集得到委陵菜与胃癌的共同靶点;通过STRING数据库对两者的共同靶点进行蛋白互作(protein-protein interaction network, PPI)网络分析搭建了PPI模型,探索委陵菜和胃癌之间的关联性。通过Metascape平台对委陵菜与胃癌的共同靶点进行GO与KEGG富集分析,同时采用微生信在线生物信息学分析、可视化云平台进行可视化分析。结果 利用TCMSP平台筛选得委陵菜6种有效活性成分及748个作用靶点,3个GSE数据集得到胃癌靶点833个,取交集得到委陵菜与胃癌的49个共同靶点;委陵菜治疗胃癌的有效活性成分分别为丁子香萜、鞣花酸、异鼠李素、槲皮素、山柰酚、β-谷甾醇等;对应的靶点分别为CXCL8、SERPINE1、SPP1、CYP2C19、GSTA1等;主要通过PI3K-Akt、MAPK、P53等信号通路发挥作用。结论 委陵菜治疗胃癌的特点主要有成分复杂、靶点丰富、通路繁多,结合网络药理学理论,再通过生信分析预测到委陵菜可能通过PI3K-Akt、MAPK、P53等相关通路能够产生治疗胃癌的效果,从理论层面为胃癌的相关探索提供参考。
