With the development of the two countries, the differences in some fields are clear and are also reflected in their languages. This paper discusses the differences in vocabulary between British English and American En...With the development of the two countries, the differences in some fields are clear and are also reflected in their languages. This paper discusses the differences in vocabulary between British English and American English through three aspects - - - the same words but different meaning, the same meanings but different words,characteistic words.展开更多
目的:基于网络药理学探讨二仙汤“异病同治”乳腺增生和围绝经期综合征的作用机制。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)筛选二仙汤中...目的:基于网络药理学探讨二仙汤“异病同治”乳腺增生和围绝经期综合征的作用机制。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)筛选二仙汤中6味中药的活性成分并预测其潜在靶点;通过人类基因数据库(the human gene database,GeneCards)及在线人类孟德尔遗传数据库(online mendelian inheritance in man,OMIM)平台检索乳腺增生和围绝经期综合征的疾病靶点,借助Venn在线工具构建药物与两种疾病的交集靶点。运用Cytoscape 3.7.2软件构建“药物-成分-靶点-疾病”网络;利用STRING数据库构建PPI网络,按Dgree值大于等于平均值进一步筛选核心靶点;采用DAVID数据库进行基因本体论(gene ontology,GO)富集分析,同时实现京都基因与基因组百科全书(kyoto encyclopedia of genes and genomes,KEGG)通路富集分析。结果 :根据口服生物利用度(oral bioavailability,OB)≥30%和药物类药性(druglikeness,DL)≥0.18筛选得到二仙汤有效活性成分104个,预测潜在作用靶点147个;通过筛选得到乳腺增生靶点4153个,围绝经期综合征靶点155个,药物与疾病的交集靶点29个,其中IL-6、VEGFA、TNF、TP53、ESR1、CAT、IL-1β等可能是二仙汤治疗乳腺增生和围绝经期综合征的关键靶点。活性成分及靶点主要参与DNA模板转录正调控、基因表达的正调控、胞外间隙、胞外区、类固醇结合、酶结合等;靶基因主要富集在TNF、NOD样体、HIF-1、癌症、PI3K-Akt等信号通路。结论:二仙汤可能通过调控PI3K-Akt、HIF-1等信号通路达到防治乳腺增生和围绝经期综合征的目的。展开更多
文摘With the development of the two countries, the differences in some fields are clear and are also reflected in their languages. This paper discusses the differences in vocabulary between British English and American English through three aspects - - - the same words but different meaning, the same meanings but different words,characteistic words.
文摘目的:基于网络药理学探讨二仙汤“异病同治”乳腺增生和围绝经期综合征的作用机制。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)筛选二仙汤中6味中药的活性成分并预测其潜在靶点;通过人类基因数据库(the human gene database,GeneCards)及在线人类孟德尔遗传数据库(online mendelian inheritance in man,OMIM)平台检索乳腺增生和围绝经期综合征的疾病靶点,借助Venn在线工具构建药物与两种疾病的交集靶点。运用Cytoscape 3.7.2软件构建“药物-成分-靶点-疾病”网络;利用STRING数据库构建PPI网络,按Dgree值大于等于平均值进一步筛选核心靶点;采用DAVID数据库进行基因本体论(gene ontology,GO)富集分析,同时实现京都基因与基因组百科全书(kyoto encyclopedia of genes and genomes,KEGG)通路富集分析。结果 :根据口服生物利用度(oral bioavailability,OB)≥30%和药物类药性(druglikeness,DL)≥0.18筛选得到二仙汤有效活性成分104个,预测潜在作用靶点147个;通过筛选得到乳腺增生靶点4153个,围绝经期综合征靶点155个,药物与疾病的交集靶点29个,其中IL-6、VEGFA、TNF、TP53、ESR1、CAT、IL-1β等可能是二仙汤治疗乳腺增生和围绝经期综合征的关键靶点。活性成分及靶点主要参与DNA模板转录正调控、基因表达的正调控、胞外间隙、胞外区、类固醇结合、酶结合等;靶基因主要富集在TNF、NOD样体、HIF-1、癌症、PI3K-Akt等信号通路。结论:二仙汤可能通过调控PI3K-Akt、HIF-1等信号通路达到防治乳腺增生和围绝经期综合征的目的。