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ObjectiveBased on ultra performance liquid chromatography-mass spectrometry（UPLC-MS） and non-targeted metabolomics technology to discuss the central regulatory effect of Chaishao Liujuntang on chronic atrophic gastritis（CAG） rats with liver-depression and spleen-deficiency， and to look for the correlation between cerebral cortex， hypothalamus and metabolic status of gastric tissues. MethodA CAG rat model with liver-depression and spleen-deficiency was established by chemical induction， hunger and satiety disorders， chronic restraint and tail clamping stimulation， lasting for 16 weeks. Twenty-eight Wistar rats were randomly divided into a blank group of 8 rats and a model group of 20 rats. After the completion of modeling， 4 rats in the model group were taken to observe the pathological changes of gastric mucosa. The remaining model rats were randomly divided into a model group of 8 rats and a Chaishao Liujuntang group of 8 rats. Chaishao Liujuntang group rats were given 5.1 g·kg-1 by gavage， and the remaining rats were given equal volume sterilized water by gavage for 4 weeks. Macroscopic characteristics， behavioral indicators and histopathological changes of the gastric mucosa of rats in each group were observed and compared. UPLC-MS non-targeted metabolomics was used to explore the metabolic regulation effect of Chaishao Liujuntang on the cerebral cortex， hypothalamus and stomach tissues of CAG rats with liver-depression and spleen-deficiency. Pearson correlation coefficient method was used to analyze the correlation between different tissue metabolites. ResultCompared with the model group， the macroscopic characteristics of rats in Chaishao Liujuntang group were improved， such as hair color， mental state and stool properties， and the number of times of crossing and standing in the open field experiment was significantly increased， and the static time of forced swimming was significantly reduced（P<0.01）， and the gastric mucosa atrophy was reduced. The metabolic data from the cerebral cortex of rats in each group identified a total of 3 common potential biomarkers， but not enriched in pathways， 26 common potential biomarkers were identified in the hypothalamus， and the key metabolic pathways involved were mainly enriched in purine metabolism， glycerol phospholipid metabolism， D-glutamine and D-glutamic acid metabolism. Seventeen common potential biomarkers were identified in the stomach， and the key metabolic pathways involved were mainly enriched in thiamine metabolism， valine， leucine and isoleucine biosynthesis， and taurine and taurine metabolism. Correlation analysis of metabolites in different tissues revealed that multiple amino acids and their derivatives mediated metabolic connections between the cerebral cortex， hypothalamus and stomach of rats. ConclusionThe metabolic disorders in the cerebral cortex， hypothalamus and stomach of CAG rats with liver-depression and spleen-deficiency have their own characteristics， mainly manifested by changes in the content of glycerol phospholipids， fatty acids and bile acid metabolites. Moreover， Chaishao Liujuntang may play a central regulatory role in CAG rats with liver-depression and spleen-deficiency by correcting the metabolic disorders of amino acids.
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@#Objective To determine the cetrimonium bromide(CTAB)residue in polysaccharide vaccines using ultra performance liquid chromatography-mass spectrometry(UPLC/MS-MS),and analyze and evaluate the uncertainty of the determination results.Methods By establishing a mathematical model,the sources and values of uncertainty introduced in the measurement process were analyzed,the uncertainty components of each influencing factor were calculated,and the standard uncertainty and expanded uncertainty were synthesized to form an uncertainty report.Results At 95% confidence interval,the expanded uncertainty was 0. 002 8 mg/kg. The determination result of CTAB residue in polysaccharide vaccine was reported as(1. 000 6 ± 0. 002 8)mg/kg(k = 2,confidence interval p = 95%).Conclusion The main factors affecting the accuracy of determination results are the preparation of standard solution and the introduction of recovery rate,which should be focused on and controlled in the experiment process to make the detection results more reliable.
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Objective:To explore the difference in antibacterial mechanism between <italic>Coptis chinensis</italic> and<italic> </italic>its<italic> </italic>flower stalk based on secondary metabolites and network pharmacology. Method:Based on the ultraperformance liquid chromatography mass spectrometry（UPLC-MS/MS） detection platform，the secondary metabolites database of <italic>C. chinensis</italic> and its flower stalk（MWDB） was built. The common database of metabolites information and the multivariate statistical analysis were used to study the differences of secondary metabolites between <italic>C. chinensis</italic> and its flower stalk and screen out 18 metabolites of<italic> </italic>the<italic> </italic>flower stalk and 11 metabolites of <italic>C. chinensis</italic> with a high content. BATMAN-TCM database was used to obtain the targets of component action，and their corresponding genes were inquired in the UniProt database. GeneCards was retrieved for antimicrobial genes，and the intersection genes of components and antimicrobials were obtained on Venny platform. Through DAVID gene ontology（GO） enrichment analysis and Kyoto encyclopedia of genes and genomes（KEGG） pathway enrichment analysis，the mechanism of its action was predicted，and the results were visualized through histogram and advanced bubble diagram drawn by GraphPad Prism software and OmicShare database. The protein-protein interaction（PPI） network was constructed by STRING， database and the component-target-pathway network was constructed by Cytoscape 3.7.2 software. The antibacterial differences were compared based on the results of network pharmacology analysis. Result:Through network pharmacology，the antibacterial active components of <italic>C. chinensis</italic> were 5 fewer than that of the flower stalk，55 more antibacterial targets than that of the flower stalk； quercetin and berberine were predicted to be the common components of the antagonistic action of <italic>C. chinensis </italic>and the flower stalk. Key genes involved in antimicrobial action were p38 Mitogen-activated protein kinase 14（MAPK14），catalase（CAT）； malaria and Toll-like receptor signaling pathway were different key pathways involved in antimicrobial activity. Conclusion:<italic>C. chinensis </italic>and the flower stalk mainly exert the antibacterial effect in a multi-target and multi-pathway manner，which can offer new ideas and clues for the study of antibacterial mechanism of<italic> C. chinensis</italic> and the flower stalk，and provide a new development direction for the comprehensive development and rational application of the flower stalk resources.