[Objectives]To expose the plausible mechanism of Blumea balsamifera(L.)DC.against Alzheimer s disease via network pharmacology and HPLC-ESI-HRMS technology.[Methods]To begin with,HPLC-ESI-HRMS was employed to identify...[Objectives]To expose the plausible mechanism of Blumea balsamifera(L.)DC.against Alzheimer s disease via network pharmacology and HPLC-ESI-HRMS technology.[Methods]To begin with,HPLC-ESI-HRMS was employed to identify the components of B.balsamifera.Secondly,the potential targets of the components were identified and predicted based on chemical similarity and online databases.Thirdly,by way of topological analysis of a component-disease target interaction network,the primary candidate targets and potential active components were identified.Lastly,molecular docking analysis was used to confirm the interaction between active components and therapeutic targets.[Results]According to the final results,HPLC-ESI-HRMS identified 70 components.Out of these,20 components were potentially biologically active,and most of them were sesquiterpenoids.According to the molecular docking results,the primary active components were appropriately coordinated with the core targets,indicating a high level of pharmacodynamic activity.Thus,the sesquiterpenes present in B.balsamifera are considered potential active ingredients having multi-target and multi-pathway effects for treating Alzheimer s disease.[Conclusions]This research will provide a scientific reference for the future pharmacological activity and clinical application of B.balsamifera.展开更多
[Objectives]To study the variation in main chemical composition of Blumea balsamifera in different growth stages,and to provide a theoretical basis to determine appropriate harvest period.[Methods]The l-borneol of the...[Objectives]To study the variation in main chemical composition of Blumea balsamifera in different growth stages,and to provide a theoretical basis to determine appropriate harvest period.[Methods]The l-borneol of the plant was determined by gas chromatography( GC)with methyl salicylate as internal standard,and total flavonoids were determined by the Aluminum nitrate colorimetry method of Ultraviolet-Visible spectrophotometry. The analysis of variance was used for statistical analysis of the l-borneol and total flavonoids of B. balsamifera in different months and different plant age.[Results]There were differences in chemical ingredients of B. balsamifera in different months of the year.The content of l-borneol in October was the highest,but there was no significant difference from August to December in l-borneol content( P >0. 05). l-borneol content of B. balsamifera in three ages was the highest compared with other ages,and there was a significant difference with B. balsamifera in one year or less( P < 0. 05). Relatively speaking,total flavonoids in June,August and November were higher; total flavonoids content of B. balsamifera in two ages was the highest compared with other ages,and there was a significant difference with other ages( P <0. 05).[Conclusions]If l-borneol is taken as an indicator,for extracting Aipan( l-borneol),it can be harvested from September to midDecember,but October is the best. And it can be harvested at least three years. If the content of total flavonoids is taken as an indicator,it should be harvested in November. And it can be harvested 2-3 years.展开更多
基金Supported by Science and Technology Project of Guizhou Province of China(QKHPTRC[2021]259,QKH LH[2017]7146)Doctoral Research Initiation Fund(GYZYYFY-BS-2018[14])+2 种基金2018 Guizhou Provincial High Level Innovative Talent ProjectResearch Project on Traditional Chinese Medicine and Ethnic Medicine Science and Technology in Guizhou Province(QZYY2017-079,QZYY2017-087)Project of Key Laboratory Characteristic Forestry of Guizhou Province of China(QJHKY[2021]002).
文摘[Objectives]To expose the plausible mechanism of Blumea balsamifera(L.)DC.against Alzheimer s disease via network pharmacology and HPLC-ESI-HRMS technology.[Methods]To begin with,HPLC-ESI-HRMS was employed to identify the components of B.balsamifera.Secondly,the potential targets of the components were identified and predicted based on chemical similarity and online databases.Thirdly,by way of topological analysis of a component-disease target interaction network,the primary candidate targets and potential active components were identified.Lastly,molecular docking analysis was used to confirm the interaction between active components and therapeutic targets.[Results]According to the final results,HPLC-ESI-HRMS identified 70 components.Out of these,20 components were potentially biologically active,and most of them were sesquiterpenoids.According to the molecular docking results,the primary active components were appropriately coordinated with the core targets,indicating a high level of pharmacodynamic activity.Thus,the sesquiterpenes present in B.balsamifera are considered potential active ingredients having multi-target and multi-pathway effects for treating Alzheimer s disease.[Conclusions]This research will provide a scientific reference for the future pharmacological activity and clinical application of B.balsamifera.
基金Supported by Project of Central Public-interest Scientific Institution Basal Research Fund for Chinese Academy of Tropical Agricultural Sciences(No.1630032017064)
文摘[Objectives]To study the variation in main chemical composition of Blumea balsamifera in different growth stages,and to provide a theoretical basis to determine appropriate harvest period.[Methods]The l-borneol of the plant was determined by gas chromatography( GC)with methyl salicylate as internal standard,and total flavonoids were determined by the Aluminum nitrate colorimetry method of Ultraviolet-Visible spectrophotometry. The analysis of variance was used for statistical analysis of the l-borneol and total flavonoids of B. balsamifera in different months and different plant age.[Results]There were differences in chemical ingredients of B. balsamifera in different months of the year.The content of l-borneol in October was the highest,but there was no significant difference from August to December in l-borneol content( P >0. 05). l-borneol content of B. balsamifera in three ages was the highest compared with other ages,and there was a significant difference with B. balsamifera in one year or less( P < 0. 05). Relatively speaking,total flavonoids in June,August and November were higher; total flavonoids content of B. balsamifera in two ages was the highest compared with other ages,and there was a significant difference with other ages( P <0. 05).[Conclusions]If l-borneol is taken as an indicator,for extracting Aipan( l-borneol),it can be harvested from September to midDecember,but October is the best. And it can be harvested at least three years. If the content of total flavonoids is taken as an indicator,it should be harvested in November. And it can be harvested 2-3 years.
