[Objectives]To use liquid chromatography-mass spectrometry technology to analyze the chemical composition of traditional Chinese medicine and explore its application in the evaluation of quality stability of tradition...[Objectives]To use liquid chromatography-mass spectrometry technology to analyze the chemical composition of traditional Chinese medicine and explore its application in the evaluation of quality stability of traditional Chinese medicine.[Methods]Ultra performance liquid chromatography-quadrupole time-of-flight mass spectrometry(UPLC-QTOF-MS)was used to detect the samples of Moluodan concentrated pills.By comparing and analyzing the detection results of 10 different batches of Moluodan concentrated pills,combined with principal component analysis(PCA),the quality stability of Moluodan concentrated pills was evaluated.[Results]A total of 367 chemical components were identified in Moluodan concentrated pills.The average repetition rate of the chemical components contained in the 10 different batches of samples reached 92%.The overall quality stability of the Moluodan concentrated pills was good.[Conclusions]The UPLC-QTOF-MS technology combined with PCA provides a reference for the overall quality evaluation of Moluodan concentrated pills,and provides new detection methods and ideas for the analysis of the components of Chinese medicine.展开更多
目的探究摩罗丹浓缩丸(Moluodan concentrated pill,MLD)治疗慢性萎缩性胃炎(chronic atrophic gastritis,CAG)潜在的分子机制。方法利用中药系统药理学数据库与分析平台(Traditional Chinese Medicine Systems Pharmacology Database a...目的探究摩罗丹浓缩丸(Moluodan concentrated pill,MLD)治疗慢性萎缩性胃炎(chronic atrophic gastritis,CAG)潜在的分子机制。方法利用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)、中医药综合数据库(Traditional Chinese Medicine Integrated Database,TCMID)、中医药整合药理学研究平台(Integrative Pharmacologybased Research Platform of Traditional Chinese Medicine,TCMIP)和中药免疫肿瘤学数据库(Traditional Chinese Medicine on Immuno-Oncology,TCMIO)获取MLD的化合物和化合物相关靶点(compound-related target,CRT);DisGeNET和GeneCards数据库获取CAG相关靶点基因(CAG related target gene,CAG-RTG);采用Cytoscape 3.7.2软件构建MLD化合物-CRT网络,并将CRT和CAG-RTG取交集获取MLD相关疾病靶点(MLD-related disease target,MLD-RDT);利用STRING数据库构建MLD-RDT的蛋白质-蛋白质相互作用(protein-protein interaction,PPI)网络,并进行拓扑结构分析,筛选重要靶点。采用基因本体论(Gene Ontology,GO)富集分析与京都基因和基因组百科全书(Kyoto Encyclopedia of Genes and Genomes,KEGG)信号通路富集分析探索MLD治疗CAG的主要分子机制。结果MLD中共有259个活性分子,获得961个靶基因,其中179个可能与CAG相关。PPI网络显示,AKT1、TNF、IL-6、TP53、IL-1β等是MLD治疗CAG的关键靶点。富集分析显示,MLD治疗CAG的关键通路为PI3K-AKT信号通路和TNF信号通路。结论MLD可能通过介导TNF/PI3K/AKT信号通路治疗CAG。展开更多
基金Youth Project of Natural Science Foundation of Hebei Province(C2019402141)Science and Technology Research Project for Colleges and Universities in Hebei Province(QN2019215)Science and Technology Research and Development Plan of Handan City(1727201061).
文摘[Objectives]To use liquid chromatography-mass spectrometry technology to analyze the chemical composition of traditional Chinese medicine and explore its application in the evaluation of quality stability of traditional Chinese medicine.[Methods]Ultra performance liquid chromatography-quadrupole time-of-flight mass spectrometry(UPLC-QTOF-MS)was used to detect the samples of Moluodan concentrated pills.By comparing and analyzing the detection results of 10 different batches of Moluodan concentrated pills,combined with principal component analysis(PCA),the quality stability of Moluodan concentrated pills was evaluated.[Results]A total of 367 chemical components were identified in Moluodan concentrated pills.The average repetition rate of the chemical components contained in the 10 different batches of samples reached 92%.The overall quality stability of the Moluodan concentrated pills was good.[Conclusions]The UPLC-QTOF-MS technology combined with PCA provides a reference for the overall quality evaluation of Moluodan concentrated pills,and provides new detection methods and ideas for the analysis of the components of Chinese medicine.
文摘目的探究摩罗丹浓缩丸(Moluodan concentrated pill,MLD)治疗慢性萎缩性胃炎(chronic atrophic gastritis,CAG)潜在的分子机制。方法利用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)、中医药综合数据库(Traditional Chinese Medicine Integrated Database,TCMID)、中医药整合药理学研究平台(Integrative Pharmacologybased Research Platform of Traditional Chinese Medicine,TCMIP)和中药免疫肿瘤学数据库(Traditional Chinese Medicine on Immuno-Oncology,TCMIO)获取MLD的化合物和化合物相关靶点(compound-related target,CRT);DisGeNET和GeneCards数据库获取CAG相关靶点基因(CAG related target gene,CAG-RTG);采用Cytoscape 3.7.2软件构建MLD化合物-CRT网络,并将CRT和CAG-RTG取交集获取MLD相关疾病靶点(MLD-related disease target,MLD-RDT);利用STRING数据库构建MLD-RDT的蛋白质-蛋白质相互作用(protein-protein interaction,PPI)网络,并进行拓扑结构分析,筛选重要靶点。采用基因本体论(Gene Ontology,GO)富集分析与京都基因和基因组百科全书(Kyoto Encyclopedia of Genes and Genomes,KEGG)信号通路富集分析探索MLD治疗CAG的主要分子机制。结果MLD中共有259个活性分子,获得961个靶基因,其中179个可能与CAG相关。PPI网络显示,AKT1、TNF、IL-6、TP53、IL-1β等是MLD治疗CAG的关键靶点。富集分析显示,MLD治疗CAG的关键通路为PI3K-AKT信号通路和TNF信号通路。结论MLD可能通过介导TNF/PI3K/AKT信号通路治疗CAG。