BACKGROUND A comprehensive literature search shows that Sanqi and Huangjing(SQHJ)can improve diabetes treatment in vivo and in vitro,respectively.However,the combined effects of SQHJ on diabetes mellitus(DM)are still ...BACKGROUND A comprehensive literature search shows that Sanqi and Huangjing(SQHJ)can improve diabetes treatment in vivo and in vitro,respectively.However,the combined effects of SQHJ on diabetes mellitus(DM)are still unclear.AIM To explore the potential mechanism of Panax notoginseng(Sanqi in Chinese)and Polygonati Rhizoma(Huangjing in Chinese)for the treatment of DM using network pharmacology.METHODS The active components of SQHJ and targets were predicted and screened by network pharmacology through oral bioavailability and drug-likeness filtration using the Traditional Chinese Medicine Systems Pharmacology Analysis Platform database.The potential targets for the treatment of DM were identified according to the DisGeNET database.A comparative analysis was performed to investigate the overlapping genes between active component targets and DM treatmentrelated targets.We constructed networks of the active component-target and target pathways of SQHJ using Cytoscape software and then analyzed the gene functions.Using the STRING database to perform an interaction analysis among overlapping genes and a topological analysis,the interactions between potential targets were identified.Gene Ontology(GO)function analyses and Kyoto Encyclopedia of Genes and Genomes enrichment analyses were conducted in DAVID.RESULTS We screened 18 active components from 157 SQHJ components,187 potential targets for active components and 115 overlapping genes for active components and DM.The network pharmacology analysis revealed that quercetin,beta-sitosterol,baicalein,etc.were the major active components.The mechanism underlying the SQHJ intervention effects in DM may involve nine core targets(TP53,AKT1,CASP3,TNF,interleukin-6,PTGS2,MMP9,JUN,and MAPK1).The screening and enrichment analysis revealed that the treatment of DM using SQHJ primarily involved 16 GO enriched terms and 13 related pathways.CONCLUSION SQHJ treatment for DM targets TP53,AKT1,CASP3,and TNF and participates in pathways in leishmaniasis and cancer.展开更多
目的对酒制黄精水溶性多糖(Polysaccharides from wine-processed Polygonatum sibiricum.,PSPW)进行分步醇沉,对各醇沉组分理化性质及免疫活性进行研究。方法采用分步醇沉法对PSPW进行分离、纯化;采用气相色谱(GC)、高效凝胶渗透色谱(H...目的对酒制黄精水溶性多糖(Polysaccharides from wine-processed Polygonatum sibiricum.,PSPW)进行分步醇沉,对各醇沉组分理化性质及免疫活性进行研究。方法采用分步醇沉法对PSPW进行分离、纯化;采用气相色谱(GC)、高效凝胶渗透色谱(HPGPC)及傅里叶变换红外光谱(FT-IR)等方法对各醇沉组分的理化性质进行研究;采用MTT法、中性红吞噬实验及Griess法评价各醇沉组分对RAW 264.7细胞免疫活性的影响。结果随分步醇沉中所用乙醇浓度增加,依次获得0~30%、30%~50%、50%~70%及70%~80%多糖组分,分别命名为PSPW-1、PSPW-2、PSPW-3及PSPW-4;理化性质结果表明4个醇沉组分(分子量分别为2.26×10^(4)、2.24×10^(4)、1.15×10^(4)及6.58×10^(3)u)均为糖蛋白复合物;各醇沉组分单糖组成种类和比例存在显著差异,均含高比例的半乳糖;免疫活性研究表明各组分均可促进RAW264.7细胞活力、吞噬中性红能力、分泌NO能力及分泌酸性磷酸酶活力,其中组分PSPW-3免疫活性最强。结论分步醇沉法所得PSPW各醇沉组分理化性质和免疫活性存在较大差异,推测PSPW-3为酒制黄精多糖发挥免疫调节作用的最佳活性组分,本研究为酒制黄精多糖最佳免疫调节活性组分的构效关系及黄精多糖功能性食品开发提供依据。展开更多
[Objectives]To study the prescription compatibility rules of the Tibetan medicine Polygonatum cirrhifolium(Polygonati Rhizoma,Huangjing)based on data mining,so as to provide data support for clinical application and n...[Objectives]To study the prescription compatibility rules of the Tibetan medicine Polygonatum cirrhifolium(Polygonati Rhizoma,Huangjing)based on data mining,so as to provide data support for clinical application and new drug development.[Methods]Prescriptions containing Tibetan medicine Huangjing were collected from Tibetan Medicine Prescriptions Encyclopedia and Tibetan Medicine Classic Literature Collection.The Traditional Chinese Medicine Inheritance Computing System(TCMICS 3.0)and R version 4.1.3 were used to mine and analyze the compatibility rules of prescriptions containing Tibetan medicinal material Huangjing,the rules of medication for high-frequency diseases,and the association rules of various medicinal materials.[Results]A total of 124 prescriptions were collected from the classic literature of Tibetan medicine,and the frequency statistical analysis showed that drugs compatible with Huangjing(≥15)included Tianmendong(Root of Cochinchinese Asparagus)(80),Mirabilis himalaica(Edgew.)Heimerl(Himalayan purple jasmine)(72),Jili(Tribuli Fructus)(70),Tibetan Aoruqin(Vicatia coniifolia)(58),Baidoukou(Round Cardamom Fruit)(47),Hezi(Chebulae Fructus)(45),Shouzhangshen(Rhizome of Conic Gymnadenia)(28),Yuganzi(Phyllanthi Fructus)(26),Pomegranate(25),Maohezi(Terminaliae Belliricae Fructus)(24),Zicaorong(Lacca)(23),Rougui(Cinnamomi Cortex)(15).The main diseases were yellow water disease(20),gynecological diseases(19),kidney cold disease(17),and other Tibetan medicine diseases.Association rule analysis showed that the drug combinations with the highest frequency were Huangjing—Tianmendong,Huangjing—Himalayan purple jasmine,and Huangjing—Jili.[Conclusions]The frequency of combined use of Tibetan medicine Huangjing with dry yellow water,tonifying kidney and diuresis,nourishing health,and treating gynecological diseases is relatively high.展开更多
目的:基于网络药理学和分子对接技术探讨黄精治疗骨质疏松症的作用机制。方法:通过中药系统药理学数据库与分析平台(traditional Chinese medicine systems pharmacology database and analysis platform,TCMSP)筛选黄精的主要活性成分...目的:基于网络药理学和分子对接技术探讨黄精治疗骨质疏松症的作用机制。方法:通过中药系统药理学数据库与分析平台(traditional Chinese medicine systems pharmacology database and analysis platform,TCMSP)筛选黄精的主要活性成分及其相关靶点;使用GeneCards数据库和在线人类孟德尔遗传(online mendelian inheritance in man,OMIM)数据库获得骨质疏松症的相关靶点,与黄精活性成分相关靶点进行映射,取交集得到黄精治疗骨质疏松症的潜在作用靶点;通过STRING数据库构建潜在作用靶点的蛋白质相互作用(protein-protein interaction,PPI)网络,并利用Cytoscape软件进行拓扑分析筛选核心靶点;采用Cytoscape 3.8.2软件构建“黄精-活性成分-潜在靶点”网络;利用DAVID数据库对潜在靶点进行基因本体(gene ontology,GO)功能富集分析和京都基因与基因组百科全书(kyoto encyclopedia of genes and genomes,KEGG)信号通路富集分析;使用schrodinger软件对有效成分和核心靶点进行分子对接。结果:通过TCMSP数据库检索获得黄精活性成分9个及相关靶点86个。通过GeneCards数据库和OMIM数据库获得骨质疏松症相关靶点4 490个,黄精治疗骨质疏松症的潜在作用靶点59个。PPI网络拓扑分析筛选出度值排名前10位的关键靶点分别是丝氨酸/苏氨酸蛋白激酶(serine/threonine protein kinase 1,AKT1)、肿瘤抗原p53(tumor protein p53,TP53)、丝裂原活化蛋白激酶14(mitogen-activated protein kinase 14,MAPK14)等;“黄精-活性成分-潜在靶点”网络拓扑分析发现黄精的有效成分包括黄芩素、β-谷甾醇等。GO功能富集分析得到298个生物过程、31个细胞组分及73个分子功能;KEGG信号通路富集分析获得85条信号通路;分子对接结果显示,黄芩素和β-谷甾醇与关键靶点AKT1、TP53的结合能均<-5.0 kcal·mol^(-1),具有良好的结合力。结论:黄精可通过多成分、多靶点、多通路调节骨代谢稳态平衡发挥抗骨质疏松作用。展开更多
基金Supported by the Central Government guides local S&T Program of Hebei Province,No.216Z2501GScientific Research Project of Hebei Provincial Market Supervision Administration,No.2021YJ11.
文摘BACKGROUND A comprehensive literature search shows that Sanqi and Huangjing(SQHJ)can improve diabetes treatment in vivo and in vitro,respectively.However,the combined effects of SQHJ on diabetes mellitus(DM)are still unclear.AIM To explore the potential mechanism of Panax notoginseng(Sanqi in Chinese)and Polygonati Rhizoma(Huangjing in Chinese)for the treatment of DM using network pharmacology.METHODS The active components of SQHJ and targets were predicted and screened by network pharmacology through oral bioavailability and drug-likeness filtration using the Traditional Chinese Medicine Systems Pharmacology Analysis Platform database.The potential targets for the treatment of DM were identified according to the DisGeNET database.A comparative analysis was performed to investigate the overlapping genes between active component targets and DM treatmentrelated targets.We constructed networks of the active component-target and target pathways of SQHJ using Cytoscape software and then analyzed the gene functions.Using the STRING database to perform an interaction analysis among overlapping genes and a topological analysis,the interactions between potential targets were identified.Gene Ontology(GO)function analyses and Kyoto Encyclopedia of Genes and Genomes enrichment analyses were conducted in DAVID.RESULTS We screened 18 active components from 157 SQHJ components,187 potential targets for active components and 115 overlapping genes for active components and DM.The network pharmacology analysis revealed that quercetin,beta-sitosterol,baicalein,etc.were the major active components.The mechanism underlying the SQHJ intervention effects in DM may involve nine core targets(TP53,AKT1,CASP3,TNF,interleukin-6,PTGS2,MMP9,JUN,and MAPK1).The screening and enrichment analysis revealed that the treatment of DM using SQHJ primarily involved 16 GO enriched terms and 13 related pathways.CONCLUSION SQHJ treatment for DM targets TP53,AKT1,CASP3,and TNF and participates in pathways in leishmaniasis and cancer.
基金Supported by School Level Scientific Research Project of University of Tibetan Medicine(2021ZRZD04)Tibet Autonomous Region Science and Technology Plan Project(XZ202001Y0003C)。
文摘[Objectives]To study the prescription compatibility rules of the Tibetan medicine Polygonatum cirrhifolium(Polygonati Rhizoma,Huangjing)based on data mining,so as to provide data support for clinical application and new drug development.[Methods]Prescriptions containing Tibetan medicine Huangjing were collected from Tibetan Medicine Prescriptions Encyclopedia and Tibetan Medicine Classic Literature Collection.The Traditional Chinese Medicine Inheritance Computing System(TCMICS 3.0)and R version 4.1.3 were used to mine and analyze the compatibility rules of prescriptions containing Tibetan medicinal material Huangjing,the rules of medication for high-frequency diseases,and the association rules of various medicinal materials.[Results]A total of 124 prescriptions were collected from the classic literature of Tibetan medicine,and the frequency statistical analysis showed that drugs compatible with Huangjing(≥15)included Tianmendong(Root of Cochinchinese Asparagus)(80),Mirabilis himalaica(Edgew.)Heimerl(Himalayan purple jasmine)(72),Jili(Tribuli Fructus)(70),Tibetan Aoruqin(Vicatia coniifolia)(58),Baidoukou(Round Cardamom Fruit)(47),Hezi(Chebulae Fructus)(45),Shouzhangshen(Rhizome of Conic Gymnadenia)(28),Yuganzi(Phyllanthi Fructus)(26),Pomegranate(25),Maohezi(Terminaliae Belliricae Fructus)(24),Zicaorong(Lacca)(23),Rougui(Cinnamomi Cortex)(15).The main diseases were yellow water disease(20),gynecological diseases(19),kidney cold disease(17),and other Tibetan medicine diseases.Association rule analysis showed that the drug combinations with the highest frequency were Huangjing—Tianmendong,Huangjing—Himalayan purple jasmine,and Huangjing—Jili.[Conclusions]The frequency of combined use of Tibetan medicine Huangjing with dry yellow water,tonifying kidney and diuresis,nourishing health,and treating gynecological diseases is relatively high.
文摘目的:基于网络药理学和分子对接技术探讨黄精治疗骨质疏松症的作用机制。方法:通过中药系统药理学数据库与分析平台(traditional Chinese medicine systems pharmacology database and analysis platform,TCMSP)筛选黄精的主要活性成分及其相关靶点;使用GeneCards数据库和在线人类孟德尔遗传(online mendelian inheritance in man,OMIM)数据库获得骨质疏松症的相关靶点,与黄精活性成分相关靶点进行映射,取交集得到黄精治疗骨质疏松症的潜在作用靶点;通过STRING数据库构建潜在作用靶点的蛋白质相互作用(protein-protein interaction,PPI)网络,并利用Cytoscape软件进行拓扑分析筛选核心靶点;采用Cytoscape 3.8.2软件构建“黄精-活性成分-潜在靶点”网络;利用DAVID数据库对潜在靶点进行基因本体(gene ontology,GO)功能富集分析和京都基因与基因组百科全书(kyoto encyclopedia of genes and genomes,KEGG)信号通路富集分析;使用schrodinger软件对有效成分和核心靶点进行分子对接。结果:通过TCMSP数据库检索获得黄精活性成分9个及相关靶点86个。通过GeneCards数据库和OMIM数据库获得骨质疏松症相关靶点4 490个,黄精治疗骨质疏松症的潜在作用靶点59个。PPI网络拓扑分析筛选出度值排名前10位的关键靶点分别是丝氨酸/苏氨酸蛋白激酶(serine/threonine protein kinase 1,AKT1)、肿瘤抗原p53(tumor protein p53,TP53)、丝裂原活化蛋白激酶14(mitogen-activated protein kinase 14,MAPK14)等;“黄精-活性成分-潜在靶点”网络拓扑分析发现黄精的有效成分包括黄芩素、β-谷甾醇等。GO功能富集分析得到298个生物过程、31个细胞组分及73个分子功能;KEGG信号通路富集分析获得85条信号通路;分子对接结果显示,黄芩素和β-谷甾醇与关键靶点AKT1、TP53的结合能均<-5.0 kcal·mol^(-1),具有良好的结合力。结论:黄精可通过多成分、多靶点、多通路调节骨代谢稳态平衡发挥抗骨质疏松作用。
