Objective The objective of this study was to screen the therapeutic target of olibanum and myrrha on acute soft tissue injury(ASTI)by network pharmacology and to clarify their mechanisms.Methods The main chemical cons...Objective The objective of this study was to screen the therapeutic target of olibanum and myrrha on acute soft tissue injury(ASTI)by network pharmacology and to clarify their mechanisms.Methods The main chemical constituents and the targets of olibanum and myrrha were obtained by using traditional Chinese medicine systems pharmacology database and analysis platform database.The disease targets of ASTI were searched by GeneCards.The intersection targets of herbs and diseases were selected for protein interaction analysis,protein–protein interaction network was constructed,and potential protein functional modules in the network were explored.A compound–target–disease network was constructed using Cytoscape3.8.2 software.The targets were analyzed by gene ontology analysis and Kyoto Encyclopedia of Genes and Genomes enrichment analysis based on the Metascape database.Results The core active components of olibanum and myrrha were quercetin,β-sitosterol,and stigmasterol.The core targets were PGR,NCOA2,PTGS2,PRKCA,and NR3C2.Pathways in cancer,AGE-RAGE signaling pathway in diabetic complications might play a potential role in olibanum and myrrha in the treatment of ASTI.Conclusion Olibanum and myrrha have the characteristics of multiple components,multiple targets,and overall regulation in the treatment of ASTI.展开更多
Background:Prostate cancer(PCa)is one of the most common malignancies of the male genitourinary system.Commiphora myrrha(CM)has the potential to treat PCa,but the underlying mechanism is still unclear.Therefore,this s...Background:Prostate cancer(PCa)is one of the most common malignancies of the male genitourinary system.Commiphora myrrha(CM)has the potential to treat PCa,but the underlying mechanism is still unclear.Therefore,this study uses the network pharmacology method to investigate the target of CM in the treatment of PCa and related signal pathways,and further analyze the theoretical basis and potential mechanism of its treatment with PCa.Methods:All the components and targets of CM were retrieved from Traditional Chinese Medicine System Pharmacology Database and Analysis Platform(TCMSP).GeneCards and DisGeNET databases were used to collect PCa-related targets.String was used to build a target protein interaction network.The network of“active component-interaction target-related pathways”and protein-protein interaction network were constructed using Cytoscape,the functional enrichment analysis of GO and the enrichment analysis of KEGG pathway of CM in the treatment of PCa were performed using Metascape.Results:A total of 33 active ingredients including quercetin,β-sitosterol and ellagic acid were obtained,and 61 common targets of CM for PCa were obtained by screening intersection.The most frequent occurrences were AKT1,TP53,JUN,VEGFA,etc.These targets were mainly involved in biological processes,such as apoptotic signaling pathway,response to growth factor,and reactive oxygen species metabolic process,and were mainly concentrated in PI3K-Akt,MAPK and other signaling pathways.Conclusion:This study revealed the effective ingredients,potential targets and mechanism of action of CM in the treatment of PCa,aiming to provide a theoretical basis and reference for subsequent experimental studies.展开更多
OBJECTIVE:To evaluate the quality of Moyao(Myrrh)in the identification of the geographical origin and processing of the products.METHODS:Raw Moyao(Myrrh)and two kinds of Moyao(Myrrh)processed with vinegar from three c...OBJECTIVE:To evaluate the quality of Moyao(Myrrh)in the identification of the geographical origin and processing of the products.METHODS:Raw Moyao(Myrrh)and two kinds of Moyao(Myrrh)processed with vinegar from three countries were identified using near-infrared(NIR)spectroscopy combined with chemometric techniques.Principal component analysis(PCA)was used to reduce the dimensionality of the data and visualize the clustering of samples from different categories.A classical chemometric algorithm(PLS-DA)and two machine learning algorithms[K-nearest neighbor(KNN)and support vector machine]were used to conduct a classification analysis of the near-infrared spectra of the Moyao(Myrrh)samples,and their discriminative performance was evaluated.RESULTS:Based on the accuracy,precision,recall rate,and F1 value in each model,the results showed that the classical chemometric algorithm and the machine learning algorithm obtained positive results.In all of the chemometric analyses,the NIR spectrum of Moyao(Myrrh)preprocessed by standard normal variation or Multivariate scattering correction combined with KNN achieved the highest accuracy in identifying the geographical origins,and the accuracy of identifying the processing technology established by the KNN method after first-order derivative pretreatment was the best.The best accuracy of geographical origin discrimination and processing technology discrimination were 0.9853 and 0.9706 respectively.CONCLUSIONS:NIR spectroscopy combined with chemometric technology can be an important tool for tracking the origin and processing technology of Moyao(Myrrh)and can also provide a reference for evaluations of its quality and the clinical use.展开更多
基金supported by the Science and Technology Project of Xi 'an Science and Technology Bureau [201805093YX1SF27(16)]Scientific Research Project of Shaanxi Provincial Administration of Traditional Chinese Medicine (15-JC014).
文摘Objective The objective of this study was to screen the therapeutic target of olibanum and myrrha on acute soft tissue injury(ASTI)by network pharmacology and to clarify their mechanisms.Methods The main chemical constituents and the targets of olibanum and myrrha were obtained by using traditional Chinese medicine systems pharmacology database and analysis platform database.The disease targets of ASTI were searched by GeneCards.The intersection targets of herbs and diseases were selected for protein interaction analysis,protein–protein interaction network was constructed,and potential protein functional modules in the network were explored.A compound–target–disease network was constructed using Cytoscape3.8.2 software.The targets were analyzed by gene ontology analysis and Kyoto Encyclopedia of Genes and Genomes enrichment analysis based on the Metascape database.Results The core active components of olibanum and myrrha were quercetin,β-sitosterol,and stigmasterol.The core targets were PGR,NCOA2,PTGS2,PRKCA,and NR3C2.Pathways in cancer,AGE-RAGE signaling pathway in diabetic complications might play a potential role in olibanum and myrrha in the treatment of ASTI.Conclusion Olibanum and myrrha have the characteristics of multiple components,multiple targets,and overall regulation in the treatment of ASTI.
文摘Background:Prostate cancer(PCa)is one of the most common malignancies of the male genitourinary system.Commiphora myrrha(CM)has the potential to treat PCa,but the underlying mechanism is still unclear.Therefore,this study uses the network pharmacology method to investigate the target of CM in the treatment of PCa and related signal pathways,and further analyze the theoretical basis and potential mechanism of its treatment with PCa.Methods:All the components and targets of CM were retrieved from Traditional Chinese Medicine System Pharmacology Database and Analysis Platform(TCMSP).GeneCards and DisGeNET databases were used to collect PCa-related targets.String was used to build a target protein interaction network.The network of“active component-interaction target-related pathways”and protein-protein interaction network were constructed using Cytoscape,the functional enrichment analysis of GO and the enrichment analysis of KEGG pathway of CM in the treatment of PCa were performed using Metascape.Results:A total of 33 active ingredients including quercetin,β-sitosterol and ellagic acid were obtained,and 61 common targets of CM for PCa were obtained by screening intersection.The most frequent occurrences were AKT1,TP53,JUN,VEGFA,etc.These targets were mainly involved in biological processes,such as apoptotic signaling pathway,response to growth factor,and reactive oxygen species metabolic process,and were mainly concentrated in PI3K-Akt,MAPK and other signaling pathways.Conclusion:This study revealed the effective ingredients,potential targets and mechanism of action of CM in the treatment of PCa,aiming to provide a theoretical basis and reference for subsequent experimental studies.
基金Jiangxi Provincial Administration of Traditional Chinese Medicine Key Research Laboratory on the Fundamentals of Chinese Medicine Evidence(Gan TCM Science and Education Word[2022]No.8-4)Jiangxi University of Chinese Medicine Science and Technology Innovation Team Development Program:Traditional Chinese Medicine Constitution-State Identification Health Management Research Team(No.CXTD22016)。
文摘OBJECTIVE:To evaluate the quality of Moyao(Myrrh)in the identification of the geographical origin and processing of the products.METHODS:Raw Moyao(Myrrh)and two kinds of Moyao(Myrrh)processed with vinegar from three countries were identified using near-infrared(NIR)spectroscopy combined with chemometric techniques.Principal component analysis(PCA)was used to reduce the dimensionality of the data and visualize the clustering of samples from different categories.A classical chemometric algorithm(PLS-DA)and two machine learning algorithms[K-nearest neighbor(KNN)and support vector machine]were used to conduct a classification analysis of the near-infrared spectra of the Moyao(Myrrh)samples,and their discriminative performance was evaluated.RESULTS:Based on the accuracy,precision,recall rate,and F1 value in each model,the results showed that the classical chemometric algorithm and the machine learning algorithm obtained positive results.In all of the chemometric analyses,the NIR spectrum of Moyao(Myrrh)preprocessed by standard normal variation or Multivariate scattering correction combined with KNN achieved the highest accuracy in identifying the geographical origins,and the accuracy of identifying the processing technology established by the KNN method after first-order derivative pretreatment was the best.The best accuracy of geographical origin discrimination and processing technology discrimination were 0.9853 and 0.9706 respectively.CONCLUSIONS:NIR spectroscopy combined with chemometric technology can be an important tool for tracking the origin and processing technology of Moyao(Myrrh)and can also provide a reference for evaluations of its quality and the clinical use.
