RESUMO
Objective:To explore the potential synergistic protective mechanism of Glycyrrhizae Radix et Rhizoma-Granati Pericarpium formula compound by using the methods and tools of network pharmacology，and provide a basis for the modernization of traditional Chinese medicine（TCM） compounds and the discovery of new drugs. Method:Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform （TCMSP） was used to obtain the active components of Glycyrrhizae Radix et Rhizoma-Granati Pericarpium formula and their corresponding targets. The obtained targets were input to the UniProt database to inquire the gene names corresponding to the targets. By searching the CTD database，Genecards database and OMIM database of disease-related websites，the anti-sunburn targets were obtained. The interaction of the active targets was analyzed with online STRING database to screen the predicted core targets. The gene ontolog（GO） gene function enrichment analysis and Kyoto encyclopedia of genes and genomes（KEGG） pathway enrichment analysis of the predictive targets were performed by using DAVID database. Cytoscape 3.6.1 software was used to make "drug-component-target" network diagram，"protein-protein interaction" network diagram and "component-target-pathway" network diagram. Online website Draw Venn Diagram was used to show the relationship between disease targets and drug predicted targets. R Studio software was used to draw the functional enrichment analysis diagram of GO gene and KEGG pathway. Molecular docking between the active ingredients and the core targets was performed using GOLD software. Result:The 16 active compounds were collected，such as liquiritin，glycyrrhizin，kaempferol and quercetin. The active components mainly acted on 5 core targets：protein kinase B1（AKT1），interleukin（IL）-6，vascular endothelial growth factor（VEGFA），tumor necrosis factor（TNF） and tumor suppressor gene （TP53） and played a role in anti-sunburn effect primarily through these pathways such as hepatitis B，pathways in cancer，toxoplasmosis，chagas disease（American trypanosomiasis），and TNF signaling pathway. Conclusion:Based on the method of network pharmacology，the present study has preliminarily explored the anti-sunburn targets and pathways of Glycyrrhizae Radix et Rhizoma-Granati Pericarpium formula，and further verified the characteristics of multi-component and multi-target treatment of diseases in TCM，so as to provide certain scientific ideas for the modernization research of Chinese herbal compound prescriptions.
RESUMO
Objective: To establish a better near infrared quantitative model for quality control of Glycyrrhizae Radix et Rhizoma of components (moisture,total ash,liquiritin and glycyrrhizic acid) in liquorice,in order to realize rapid detection.Method: The contents of moisture,total ash,liquiritin and glycyrrhizic acid were determined in 97 samples based on the methods set forth in Chinese Pharmacopoeia.Meanwhile,the near infrared spectrum was scanned using near infrared spectroscope.R software was used to screen out the spectral pretreatment and build the quantitative models.Result: The optimum spectral pretreatment method for establishing the near infrared quantitative model of moisture and liquiritin was the first order derivative.For moisture,the correlation coefficients of test and validation were 0.930 0 and 0.929 9,and the root mean square errors were 0.243 2 and 0.203 8,respectively.For liquiritin,the correlation coefficients of test and validation were 0.930 3 and 0.907 6,and the root mean square errors were 0.093 9 and 0.128 9,respectively.The optimum spectral pretreatment method for establishing the near infrared quantitative model of total ash was MSC.The correlation coefficients of test and validation were 0.926 5 and 0.917 7,and the root mean square errors were 0.109 6 and 0.103 7,respectively.The optimum spectral pretreatment method for establishing the near infrared quantitative model of glycyrrhizic acid was SNV.The correlation coefficients of test and validation were 0.918 1 and 0.915 7,and the root mean square errors were 0.274 8 and 0.236 0,respectively.Conclusion: In this study,a better near infrared quantitative models for quality control of components of Glycyrrhizae Radix et Rhizoma were established,with a high accuracy,which laid a foundation for rapid detection of the components in Glycyrrhizae Radix et Rhizoma.