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italic>Sophora flavescens is a traditional Chinese medicine rich in flavonoids and has wide application potential in drug development and clinical practice. In this study, a total of 227 flavonoids were detected among five tissues of S. flavescens during anthesis using widely targeted metabolomics techniques. There were 137 flavonoids shared by five S. flavescens tissues and 18 root-specific flavonoids. There were 156, 155, 156 and 150 differentially accumulated metabolites identified in stem, leaf, flower, and young pod, respectively, compared with root. Forty-seven potentially active flavonoid components in S. flavescens were identified using the PubChem and SwissADME databases. The 58 potential target proteins for these potentially active components were predicted to be important in the treatment of type 2 diabetes mellitus (T2DM) based on the SwissTargetPrediction and GeneCards database. These 58 target proteins were used to construct a protein-protein interaction network through the STRING database, from which we performed GO and KEGG functional enrichment analysis. The mechanisms by which S. flavescens flavonoids may be useful in the treatment of T2DM was further explored in a multi-level and systematic way based on a "component-target-pathway" network. Finally, ten key potentially effective components were identified and found to be mainly distributed in the roots, flowers, and pods, and their content varied significantly between tissues. The results predict that the key targets of S. flavescens flavonoids in the treatment of T2DM are AKT1, ESR1, EGFR, PIK3R1, TNF and PTGS2, and that they play a hypoglycemic role through the regulation of endocrine resistance, AGE-RAGE, the PI3K-Akt signaling pathway, EGFR tyrosine kinase inhibitor resistance and other signaling pathways. This analysis of the tissue distribution and network pharmacology of S. flavescens flavonoids provides a theoretical basis for further studies on S. flavescens metabolites, the rational development and utilization of the S. flavescens aboveground parts, and initiates a comprehensive exploration of the mechanisms by which S. flavescens can be used in the treatment of T2DM.
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ObjectiveTo explore the correlation between the content of 4 functional components in Codonopsis pilosula roots from different areas and soil factors， and thereby to lay a theoretical basis for soil ecological regulation and improvement of quality of C. pilosula roots. MethodThe content of lobetyolin， atractylenolide Ⅲ， alcohol extract， and polysaccharides， as well as soil fertility and 16 soil factors in 24 batches of samples from different producing areas were determined. Principal component analysis （PCA） and Pearson's correlation analysis were used to explore the key soil factors leading to the variation of chemical component content in C. pilosula roots. ResultThe content of lobetyolin and atractylenolide Ⅲ in samples from Longxi was the highest， and the content of polysaccharides peaked in samples from Huguan. The content of lobetyolin was in positive correlation with soil total nitrogen， total phosphorus， total potassium， alkali-hydrolyzable nitrogen， and available potassium （P<0.01）， as well as soil organic matter， pH， available manganese， and available zinc （P<0.05）. There was a positive correlation between pH and atractylenolide Ⅲ content （P<0.05）. Soil total potassium was in positive correlation with alcohol extract and polysaccharide content （P<0.01）. Soil available zinc was positively correlated with alcohol extract and the polysaccharide content （P<0.05）. Sample sites with higher PCA scores were Pingshun， Huguan， and Longxi， which were significantly positively correlated with the content of polysaccharides in C. pilosula roots in different habitats. ConclusionThe content of functional components in C. pilosula roots can be improved by raising soil organic matter content and applying specific fertilizers.