Objective: Provide a rapid and simple method to identify Yunpian Lurong. Method: Terahertz spectroscopy was used to detect Yunpian Lurong. Result: Compared with the reference wave, the spectral amplitude of Yunpian Lu...Objective: Provide a rapid and simple method to identify Yunpian Lurong. Method: Terahertz spectroscopy was used to detect Yunpian Lurong. Result: Compared with the reference wave, the spectral amplitude of Yunpian Lurong decreases significantly. The frequency - domain spectra of Yunpian Lurong are different from conventional Lurong. Compared with the spectrum of free space, both of them have obvious absorption to THz wave, but the intensity and location of absorption are different, which provides a basis for the identification of Yunpian Lurong. The refractive index of the two samples is obviously different, which may be related to the different internal structure and composition content of the samples. The absorption coefficient of the two samples are different as well, when the frequency ranges from 0 to 2.4 THz, the absorption coefficients of the two kinds of Lurong samples have obvious difference, which makes it easy to distinguish the Yunpian Lurong. Conclusion: This study proves that terahertz spectroscopy can be used as an efficient and convenient method to identify Yunpian Lurong.展开更多
通过网络药理学来预测复方鹿茸健骨胶囊(CLJC)治疗老年性骨质疏松(Senile Osteoporosis,SOP)的作用机制。通过中药系统药理学成分分析平台(BATMAN-TCM)、TCMID数据库、中国知网、PubMed和Web of Science等途径查阅相关文献,中药系统药...通过网络药理学来预测复方鹿茸健骨胶囊(CLJC)治疗老年性骨质疏松(Senile Osteoporosis,SOP)的作用机制。通过中药系统药理学成分分析平台(BATMAN-TCM)、TCMID数据库、中国知网、PubMed和Web of Science等途径查阅相关文献,中药系统药理学数据库(TCMSP)检索CLJC的主要活性成分,ADME功能以及Uniprot数据库检索筛选CLJC的主要活性成分靶点;通过GeneCards、在线人类孟德尔遗传数据库(OMIM)、疾病相关的基因与突变位点数据库(DisGeNET)检索SOP主要作用靶点;通过Venny2.1.0软件对药物靶点与疾病靶点取交集,两者交集即为CLJC治疗SOP潜在靶点;用STRING数据库分析蛋白质-蛋白质相互作用(PPI),并且构建PPI网络图;用Metascape数据库进行基因本体(GO)和京都基因与基因组百科全书(KEGG)富集分析,并通过Cytoscape 3.9.2软件构建“药物成分-靶点-疾病-通路”网络图;最后,通过Auto Dock Tools 1.5.7软件将核心活性成分与核心靶点进行分子对接,并进一步验证CLJC治疗SOP以及网络药理学所得出的结论。CLJC共筛选到89种活性成分,相对应的药物靶点有463个;SOP共筛选到972个疾病靶点;CLJC与SOP共有81个靶点,核心靶点有AKT1、TP53、CTNNB1、SRC、RXRA、ITGB3、SP1、MMP3、TNF、MMP9、MMP2、TGFB1、PPARG、FOS、IGF2、VEGFA和IL10等;GO分析显示,BP有激素反应(Response to hormone)、肽反应(Response to peptide)、细胞对氮化合物的反应(Cellular response to nitrogen compound)等;MF有信号受体调节器活性(Signaling receptor regulator activity)、信号受体激活器活性(Signaling receptor activator activity)、受体配体活性(Receptor ligand activity)等;CC有隔膜筏(Membrane raft)、膜微结构域(Membrane microdomain)、质膜筏(Plasma membrane raft)等;KEGG富集分析共得到164条通路,主要有癌症通路(Pathways in cancer)、MAPK信号通路(MAPK signaling pathway)、癌症蛋白聚糖(Proteoglycans in cancer)以及脂质和动脉粥样硬化(Lipid an展开更多
文摘Objective: Provide a rapid and simple method to identify Yunpian Lurong. Method: Terahertz spectroscopy was used to detect Yunpian Lurong. Result: Compared with the reference wave, the spectral amplitude of Yunpian Lurong decreases significantly. The frequency - domain spectra of Yunpian Lurong are different from conventional Lurong. Compared with the spectrum of free space, both of them have obvious absorption to THz wave, but the intensity and location of absorption are different, which provides a basis for the identification of Yunpian Lurong. The refractive index of the two samples is obviously different, which may be related to the different internal structure and composition content of the samples. The absorption coefficient of the two samples are different as well, when the frequency ranges from 0 to 2.4 THz, the absorption coefficients of the two kinds of Lurong samples have obvious difference, which makes it easy to distinguish the Yunpian Lurong. Conclusion: This study proves that terahertz spectroscopy can be used as an efficient and convenient method to identify Yunpian Lurong.
文摘通过网络药理学来预测复方鹿茸健骨胶囊(CLJC)治疗老年性骨质疏松(Senile Osteoporosis,SOP)的作用机制。通过中药系统药理学成分分析平台(BATMAN-TCM)、TCMID数据库、中国知网、PubMed和Web of Science等途径查阅相关文献,中药系统药理学数据库(TCMSP)检索CLJC的主要活性成分,ADME功能以及Uniprot数据库检索筛选CLJC的主要活性成分靶点;通过GeneCards、在线人类孟德尔遗传数据库(OMIM)、疾病相关的基因与突变位点数据库(DisGeNET)检索SOP主要作用靶点;通过Venny2.1.0软件对药物靶点与疾病靶点取交集,两者交集即为CLJC治疗SOP潜在靶点;用STRING数据库分析蛋白质-蛋白质相互作用(PPI),并且构建PPI网络图;用Metascape数据库进行基因本体(GO)和京都基因与基因组百科全书(KEGG)富集分析,并通过Cytoscape 3.9.2软件构建“药物成分-靶点-疾病-通路”网络图;最后,通过Auto Dock Tools 1.5.7软件将核心活性成分与核心靶点进行分子对接,并进一步验证CLJC治疗SOP以及网络药理学所得出的结论。CLJC共筛选到89种活性成分,相对应的药物靶点有463个;SOP共筛选到972个疾病靶点;CLJC与SOP共有81个靶点,核心靶点有AKT1、TP53、CTNNB1、SRC、RXRA、ITGB3、SP1、MMP3、TNF、MMP9、MMP2、TGFB1、PPARG、FOS、IGF2、VEGFA和IL10等;GO分析显示,BP有激素反应(Response to hormone)、肽反应(Response to peptide)、细胞对氮化合物的反应(Cellular response to nitrogen compound)等;MF有信号受体调节器活性(Signaling receptor regulator activity)、信号受体激活器活性(Signaling receptor activator activity)、受体配体活性(Receptor ligand activity)等;CC有隔膜筏(Membrane raft)、膜微结构域(Membrane microdomain)、质膜筏(Plasma membrane raft)等;KEGG富集分析共得到164条通路,主要有癌症通路(Pathways in cancer)、MAPK信号通路(MAPK signaling pathway)、癌症蛋白聚糖(Proteoglycans in cancer)以及脂质和动脉粥样硬化(Lipid an
