Radix Pueraria(RP)has a long history of dual-use in medicine and food,and is well known as“Asian ginseng”.Recently,some studies about the effect of RP against glioma have been reported.However,little is elucidated a...Radix Pueraria(RP)has a long history of dual-use in medicine and food,and is well known as“Asian ginseng”.Recently,some studies about the effect of RP against glioma have been reported.However,little is elucidated about the molecular mechanism of interaction.This study used network pharmacology and molecular docking techniques to clarify the molecular mechanism of RP in the treatment of glioma.Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform(TCMSP)was applied to screen potential active ingredients of RP and their targets.Targets for glioma were obtained from Genecards,OMIM,and Therapeutic Target Database(TTD).The topological analysis of cross-target and core target interaction was conducted using protein-protein interaction analysis(PPI).With the application of bioinformatics,GO and KEGG enrichment analyses were further carried out.Molecular docking was used then to validate the binding affinity between active components and key targets.This study successfully identified 6 potential active ingredients,namely beta-sitosterol,daidzein,formononetin,genistein,ononin,and puerarin.The hub targets were AKT1,TP53,VEGRA,EGFR,and MAPK3.These targets were mainly involved in biological processes,such as RNA polymerase II-specific DNA-binding transcription factor binding,and positive regulation of cell migration in the membrane raft,and were regulated by PI3K-Akt pathway.Further study showed that almost all the compounds had good binding abilities with above-mentioned targets.In short,this study systematically revealed the anti-glioma mechanism of RP to provide reference for the treatment of glioma.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
文摘Radix Pueraria(RP)has a long history of dual-use in medicine and food,and is well known as“Asian ginseng”.Recently,some studies about the effect of RP against glioma have been reported.However,little is elucidated about the molecular mechanism of interaction.This study used network pharmacology and molecular docking techniques to clarify the molecular mechanism of RP in the treatment of glioma.Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform(TCMSP)was applied to screen potential active ingredients of RP and their targets.Targets for glioma were obtained from Genecards,OMIM,and Therapeutic Target Database(TTD).The topological analysis of cross-target and core target interaction was conducted using protein-protein interaction analysis(PPI).With the application of bioinformatics,GO and KEGG enrichment analyses were further carried out.Molecular docking was used then to validate the binding affinity between active components and key targets.This study successfully identified 6 potential active ingredients,namely beta-sitosterol,daidzein,formononetin,genistein,ononin,and puerarin.The hub targets were AKT1,TP53,VEGRA,EGFR,and MAPK3.These targets were mainly involved in biological processes,such as RNA polymerase II-specific DNA-binding transcription factor binding,and positive regulation of cell migration in the membrane raft,and were regulated by PI3K-Akt pathway.Further study showed that almost all the compounds had good binding abilities with above-mentioned targets.In short,this study systematically revealed the anti-glioma mechanism of RP to provide reference for the treatment of glioma.
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.