OBJECTIVE Numerous references made clear that triphala is revered as a multiuse therapeutic and perhaps even panacea historically.Nevertheless,the protective mechanism of triphala on cardio-cerebral vascular diseases(...OBJECTIVE Numerous references made clear that triphala is revered as a multiuse therapeutic and perhaps even panacea historically.Nevertheless,the protective mechanism of triphala on cardio-cerebral vascular diseases(CCVDs)remains not comprehensive understanding.Hence,a network pharmacology-based method was suggested in this study to address this problem.METHODS This study was based on network pharmacology and bioinformatics analysis.Information on compounds in herbal medicines of triphala formula was acquired from public databases.Oral bioavailability as well as drug-likeness were screened by using absorption,distribution,metabolism,and excretion(ADME)criteria.Then,components of triphala,candidate targets of each component and known therapeutic targets of CCVDs were collected.Compound-target gene and compounds-CCVDs target networks were created through network pharmacology data sources.In addition,key targets and pathway enrichment were analyzed by STRING database and DAVID database.Moreover,we verified three of the key targets(PTGS2,MMP9 and IL-6)predicted by using Western blotting analysis.RESULTS Network analysis determined 132 compounds in three herbal medicines that were subjected to ADME screening,and 23 compounds as well as 65 genes formed the principal pathways linked to CCVDs.And 10 compounds,which actually linked to more than three genes,are determined as crucial chemicals.Core genes in this network were IL-6,TNF,VEGFA,PTGS2,CXCL8,TP53,CCL2,IL-10,MMP9 and SERPINE1.And pathways in cancer,TNF signaling path⁃way,neuroactive ligand-receptor interaction,etc.related to CCVDs were identified.In vitro experiments,the results indi⁃cated that compared with the control group(no treatment),PTGS2,MMP9 and IL-6 were up-regulated by treatment of 10μg·L^-1 TNF-α,while pretreatment with 20-80 mg·L^-1 triphala could significantly inhibit the expression of PTGS2,MMP9 and IL-6.With increasing Triphala concentration,the expression of PTGS2,MMP9 and IL-6 decreased.CON⁃CLUSION Complex components and pharmacological mechanism of triphala,and obtained some potential therapeutic targets of CCVDs,which could provide theoretical basis for the research and development of new drugs for treating CCVDs.展开更多
Respiratory disease and cardio-cerebral vascular disease frequently occur in Anyang City. In this paper, by comparing incidence num- bers of respiratory disease and cardio-cerebral vascular disease in Anyang People＇s...Respiratory disease and cardio-cerebral vascular disease frequently occur in Anyang City. In this paper, by comparing incidence num- bers of respiratory disease and cardio-cerebral vascular disease in Anyang People＇s Hospital during 2010 -2012 with seasonal change of local tem- perature,it is found that they have obvious relationship, which has very important significance for preventing respiratory disease and cardio-cerebral vascular disease in the future.展开更多
目的探讨气象因素与湖州市心脑血管疾病的关系,并建立医学气象预报模型对心脑血管疾病发病水平进行预测。方法收集湖州市中心医院和湖州市第一人民医院2006～2007年门诊就诊资料和同期该地区气象资料,采用Spearman相关分析,并用自动交...目的探讨气象因素与湖州市心脑血管疾病的关系,并建立医学气象预报模型对心脑血管疾病发病水平进行预测。方法收集湖州市中心医院和湖州市第一人民医院2006～2007年门诊就诊资料和同期该地区气象资料,采用Spearman相关分析,并用自动交互检测方法(AID)建立预报模型,数据处理用SPSS10.0和SAS EM 4.1统计软件。结果我市心脑血管疾病发病冬春季高于夏秋季节,其发病与日平均气压、平均气温、最低气温、日较差、水汽压、降水量、日照时数等气象因子存在相关性,按周建立了气象因素与心脑血管疾病预报模型和四个预警等级,模型拟合值为0.279。结论心脑血管疾病发病与气象因素密切相关,按周建立预警、预测模型效果较好。展开更多
基金National Natural Science Foundation of China(81603385)China Postdoctoral Science Foundation(2018M643843)+1 种基金Natural Science Foundation of Shaanxi Province(2017JM8056)Key Research and Development Foundation of Shaanxi province(2018SF-241)
文摘OBJECTIVE Numerous references made clear that triphala is revered as a multiuse therapeutic and perhaps even panacea historically.Nevertheless,the protective mechanism of triphala on cardio-cerebral vascular diseases(CCVDs)remains not comprehensive understanding.Hence,a network pharmacology-based method was suggested in this study to address this problem.METHODS This study was based on network pharmacology and bioinformatics analysis.Information on compounds in herbal medicines of triphala formula was acquired from public databases.Oral bioavailability as well as drug-likeness were screened by using absorption,distribution,metabolism,and excretion(ADME)criteria.Then,components of triphala,candidate targets of each component and known therapeutic targets of CCVDs were collected.Compound-target gene and compounds-CCVDs target networks were created through network pharmacology data sources.In addition,key targets and pathway enrichment were analyzed by STRING database and DAVID database.Moreover,we verified three of the key targets(PTGS2,MMP9 and IL-6)predicted by using Western blotting analysis.RESULTS Network analysis determined 132 compounds in three herbal medicines that were subjected to ADME screening,and 23 compounds as well as 65 genes formed the principal pathways linked to CCVDs.And 10 compounds,which actually linked to more than three genes,are determined as crucial chemicals.Core genes in this network were IL-6,TNF,VEGFA,PTGS2,CXCL8,TP53,CCL2,IL-10,MMP9 and SERPINE1.And pathways in cancer,TNF signaling path⁃way,neuroactive ligand-receptor interaction,etc.related to CCVDs were identified.In vitro experiments,the results indi⁃cated that compared with the control group(no treatment),PTGS2,MMP9 and IL-6 were up-regulated by treatment of 10μg·L^-1 TNF-α,while pretreatment with 20-80 mg·L^-1 triphala could significantly inhibit the expression of PTGS2,MMP9 and IL-6.With increasing Triphala concentration,the expression of PTGS2,MMP9 and IL-6 decreased.CON⁃CLUSION Complex components and pharmacological mechanism of triphala,and obtained some potential therapeutic targets of CCVDs,which could provide theoretical basis for the research and development of new drugs for treating CCVDs.
文摘Respiratory disease and cardio-cerebral vascular disease frequently occur in Anyang City. In this paper, by comparing incidence num- bers of respiratory disease and cardio-cerebral vascular disease in Anyang People＇s Hospital during 2010 -2012 with seasonal change of local tem- perature,it is found that they have obvious relationship, which has very important significance for preventing respiratory disease and cardio-cerebral vascular disease in the future.
文摘目的探讨气象因素与湖州市心脑血管疾病的关系,并建立医学气象预报模型对心脑血管疾病发病水平进行预测。方法收集湖州市中心医院和湖州市第一人民医院2006～2007年门诊就诊资料和同期该地区气象资料,采用Spearman相关分析,并用自动交互检测方法(AID)建立预报模型,数据处理用SPSS10.0和SAS EM 4.1统计软件。结果我市心脑血管疾病发病冬春季高于夏秋季节,其发病与日平均气压、平均气温、最低气温、日较差、水汽压、降水量、日照时数等气象因子存在相关性,按周建立了气象因素与心脑血管疾病预报模型和四个预警等级,模型拟合值为0.279。结论心脑血管疾病发病与气象因素密切相关,按周建立预警、预测模型效果较好。
