ABSTRACT
To further understand the metabolic characteristics of Jinlingzi powder toxicity effect in rats and explore the effect of Jinlingzi powder on unknown biological pathways in the treatment process. In this experiment, the effect of three doses of Jinlingzi powder decoction on rat liver and kidney was investigated to explore the characteristics and rules of Jinlingzi powder on in vivo metabonomic changes in rats. First, urine and serum samples of the rats were used for LC-MS analysis. Under the XCMS online analysis, 44 differential substances were found in the identification of metabolites. Finally, Metpa was used for metabolic pathways enrichment and analysis, and five related metabolic pathways were obtained: steroid hormone biosynthesis, tryptophan metabolism, pentose and glucuronate interconversions, ascorbate and aldarate metabolism, as well as glutathione metabolism. Metabolic network diagram showed that the toxicity-related pathways were mainly associated with lysine metabolism in living organisms, glucuronic acid conversion, and hormone metabolism, especially the metabolism imbalance of lysine and glutathione would result in the disorder of energy metabolism or oxidative stress regulation, and thus inducing the damage in rats. Subacute toxicity test results for three doses groups (low, middle and high doses) showed that, Jinlingzi powder with doses of 19.7 g•kg⁻¹ and 39.4 g•kg⁻¹ caused obvious toxic effect, indicating Jinlingzi powder could produce toxic effect in vivo in a dose-dependent manner, and cause irreversible damage to the body.
ABSTRACT
To further explore the regulatory effect of Jinlingzi San on in vivo inflammatory mechanism during inflammatory treatment, this study adopted 1H-NMR and LC-MS technology to analyze differences in in vivo metabolites of carrageen-induce rat foot swelling model. Besides, biomarkers related to inflammation models of Jinlingzi San in SD rats were discovered to speculate the regulatory mechanism of Jinlingzi San in resisting carrageen-induce inflammation. Through the analysis of detection spectrum, we found 18 biomarkers of metabolites(citrate, pyruvate, malic acid, succinate, glutamate, lysine, tartrate, 2-oxobutyric acid, glycine, guanosine, 9-cis-retinoic acid, triphosphate, inosine 5'-diphosphate, inosine diphosphate, tripolyphosphate, inorganic triphosphate, glycerophosphocholine, 21-deoxycortisol). Relevant pathway analysis results were TCA cycle, pyruvate metabolism, glycine, serine and threonine metabolism, and dicarboxylic acid metabolism. From the metabolic network, we can see that the anti-inflammatory effect of Jinlingzi San can regulate citric acid, succinic acid and glycine content to resist oxygen free radical and reduce body damage by ROS, so as to down-regulate inflammatory factors generated from body tissues and resist inflammation.