ABSTRACT
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.
ABSTRACT
Objective: To establish the quality standards of Reduning Injection (RI) based on UV fingerprint, and improve the quality standards of RI. Methods: Full wavelength UV-vis spectrophotometer was used to scan the 15 batches of RI, a reference fingerprint was established, correlation coefficient method was used to calculate RI sample fingerprint and control fingerprint similarity, and the 14 batches of samples were verified. Results: The five batches of RI were within the validity period, their UV fingerprints were in line with the requirements, similarity was all above 0.902, while the absorbance values were in the ranges of 0.693-0.781 (323 nm), 0.323-0.370 (267 nm), 0.957-1.067 (236 nm), 0.902-1.013 (226 nm), 0.953-1.075 (218 nm), and 0.926-1.052 (211 nm); In addition the expired nine batches of RI, similarity is less than 0.902 or the absorbance value does not meet the standard. Conclusion: UV fingerprint method can be used as a simple and accurate method of quality evaluation for the quality control of RI.
ABSTRACT
The method of physical fingerprint spectrum for Reduning injection (RI) was proposed in this paper to improve its quality standards based on the strong correlation between physicochemical properties of drugs, their safety, effectiveness and stability. The quality of RI was studied by the thought and method of physical chemistry. The physical fingerprint spectrum was visually showed by the radar map, and consisted of eight indexes (pH, conductivity, turbidity, refractive index, osmolarity, surface tension, relative density, and kinematic viscosity). Then 12 batch of samples were verified. It was found that the physical fingerprint spectra of 3 batches of RI were in line with the standards within their validity time, with similarity above 0.999; in addition for the expired 9 batches of RI, their physical fingerprint spectra did not meet the standards. The results showed that physical fingerprint spectrum can be used for the quality control of RI, with a certain exemplary role in the quality evaluation of traditional Chinese medicine injection.