Gao Zhou,Yuxin Chen,Song Liu,Xingcheng Yao,Youwei Wang
Ethnopharmacological relevance Meconopsis integrifolia (Maxim.) Franch is a high mountain endemic species used as a traditional Tibetan and Mongolian herb to treat hepatitis, pneumonia, and edema. This study aims to investigate the hepatoprotective and antioxidant effects of Meconopsis integrifolia ethanolic extract (MIE) in vitro and in vivo . Materials and methods The in vitro antioxidant property of MIE was investigated by employing various established systems. Rats with carbon tetrachloride (CCl 4 )-induced liver injury were used to assess the hepatoprotective and antioxidant effect of MIE in vivo . The level or activity of alkaline phosphatase (ALP), glutamate pyruvate transaminase (ALT), aspartate aminotransferase (AST), and total bilirubin (TB) in the blood serum and thiobarbituric acid reactive substances (TBARS), superoxide dismutase (SOD), catalase (CAT), and glutathione (GSH) in the liver and kidney of the rats were assayed using standard procedures. Results MIE exhibited strong antioxidant ability in vitro . In the rats with CCl 4 -induced liver injury, the groups treated with MIE and silymarin showed significantly lower levels of ALT, AST, ALP, and TB. MIE demonstrated good antioxidant activities in both the liver and kidney of the rats in vivo . Conclusions MIE exhibits excellent hepatoprotective effects and antioxidant activities in vitro and in vivo , supporting the traditional use of Meconopsis integrifolia in the treatment of hepatitis.
Xi Luo,Hongmei Li,Jiamin Li,Zixuan Liu,Xiaoming Song,Liyan Zang,Huan Wang,Liang Tan,Jing Sun
To establish a quality evaluation system for Meconopsis integrifolia based on alkaloid components and to analyze the relationships between active ingredients and environmental factors, 138 samples from 15 origins was evaluated using the TOPSIS-entropy weighting method. Machine learning models (including PLS, SVR and BayesRidge) integrated with near-infrared spectroscopy preprocessing were employed for quality evaluation. Key environmental drivers were then identified through correlation and redundancy analysis. The results from the TOPSIS-entropy weighting indicated that samples originating from the north of Laji Mountain in Qinghai (P4 and P6) demonstrated the highest quality. Machine learning results showed that the optimal model for quality evaluation of different alkaloid components, utilizing both TQ Analyst and Python, achieved high prediction accuracy (RPD>2.8). External validation demonstrated that TQ Analyst exhibited the best predictive performance for OE and NE, whereas the Python-based approach yielded superior results for TA, PE, and AE. Overall, the Python-based models showed enhanced predictive accuracy and robustness, as evidenced by higher prediction rates, reduced MAE and MSE values, and stronger R² scores upon external validation. Spearman correlation and RDA analyses revealed the contents of alkaloid were significantly correlated with altitude, temperature, and precipitation. This study provides a scientific basis for the quality control of M. integrifolia . Additionally, the elucidated relationship between active ingredients and environmental factors lays a theoretical foundation for its protection of excellent germplasm resources and sustainable resource utilization.
危险品化学品经营许可证（带存储）