基于~1H-NMR及LC-MS技术研究金铃子散对炎症大鼠模型调节机制的影响

为探索金铃子散在治疗炎症过程中对生物体内炎症机制的调节作用,该研究采用了核磁和液质联用技术,将各组大鼠血清样本采用~1H-NMR和LC-MS联用的代谢组学分析方法 ,通过分析角叉菜胶致大鼠足肿胀模型中不同组别炎症大鼠体内代谢物差异的变化,发现并筛选与炎症模型相关的生物标记物,从而推测金铃子散对角叉菜胶致炎的调节机制。通过分析相关数据结果,筛选出与炎症相关的差异性代谢物有18个:鸟苷、9-顺-视黄酸、三磷酸、肌苷5'-磷酸、二磷酸肌苷、三聚磷酸盐、无机磷酸、甘油磷酸胆碱、21-脱氧皮质醇、柠檬酸、谷氨酸、琥珀酸、赖氨酸、牛磺酸、丙酮酸、苹果酸、2-酮戊二酸、甘氨酸等。相关的代谢通路有柠檬酸循环(TCA循环),乙醛酸和二羧酸代谢,甘氨酸,丝氨酸和苏氨酸代谢,丙酮酸代谢。从代谢网络图显示金铃子散在调节机体内炎症方面,可通过调节柠檬酸,琥珀酸,甘氨酸的含量,进而减少氧自由基攻击程度,降低细胞的损伤,从而下调机体组织产生炎性因子起到抗炎的作用。

Anti-inflammation effect of Jinlingzi San in rat metabonomics based on 1H-NMR and LC-MS technology

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.