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Study on basis of liver toxicity of decoction Bupleurum chinense based on integrated model of spectrum toxicity relationship and liver toxicity network / 中草药
Zhongcaoyao ; Zhongcaoyao;(24): 2798-2806, 2020.
Article in Zh | WPRIM | ID: wpr-846429
Responsible library: WPRO
ABSTRACT
Objective: To study the HPLC fingerprint of Bupleurum chinense and the relationship between the spectrum and the toxicity in vitro, construct the network of the liver toxicity induced by B. chinense, and integrate the spectrum and the network toxicology to predict the material basis of the liver toxicity induced by B. chinense. Methods: The fingerprints of 10 batches of decoction of B. chinense were established by HPLC, the contents of ALT and AST in L02 cells were determined by decoction of B. chinense, and the toxic components of liver were preliminarily determined by the method of grey correlation analysis. Combined with network toxicology, the candidate components of hepatotoxicity were predicted. Integrated analysis on the components of liver toxicity induced by decoction of B. chinense. Results: The established fingerprint of B. chinense was calibrated with 29 common peaks. The results of grey correlation analysis showed that common peaks 13, 12, 8, 26, 10, 14, 27 and 11 had a high correlation degree with the ALT content of L02 cells. The common peaks of 12, 13, 26, 8, 10, 14, 27 and 11 had a high correlation degree with the AST content of L02 cells. According to the network toxicology, 17 components of B. chinense, stigmasterol, baicalin, etc were speculated to be the hepatotoxicity components of B. chinense. The integrated analysis initially determined that the hepatotoxicity components of B. chinense were 13, 12, 8, 26, 10, 14, 27 and 11 peaks in total, and stigmasterol, baicalin, saikosaponin D, etc. Conclusion: The hepatotoxicity of B. chinense is the result of the interaction of various components. This study can provide data support for the further research on the material basis of B. chinense hepatotoxicity.
Key words
Full text: 1 Index: WPRIM Type of study: Prognostic_studies Language: Zh Journal: Zhongcaoyao Year: 2020 Type: Article
Full text: 1 Index: WPRIM Type of study: Prognostic_studies Language: Zh Journal: Zhongcaoyao Year: 2020 Type: Article