Institute of Medicinal Plant Development, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100193, China.
Int J Mol Sci. 2018 Dec 11;19(12):3984. doi: 10.3390/ijms19123984.
Diabetes is a worldwide severe health issue which causes various complications. This study aimed to evaluate the hypoglycemic effects of (RG), (CC) alone and their combination on high-fat-diet-induced diabetes in mice via biochemical assays and UPLC-Q/TOF-MS-based serum metabolomic analysis. Diabetic KK-Ay mice were induced by high-fat diet and treated for eight weeks, separately with RG, CC and their combination and the positive control drug metformin. Administration of RG and CC alone, and their combination could decrease the fasting blood glucose level, ameliorate the tolerance of glucose, and recover the levels of total cholesterol (TC), triglycerides (TG), high-density lipoprotein cholesterol (HDL-C), and low-density lipoprotein cholesterol (LDL-C) in sera of diabetic mice. Orthogonal partial least squares discriminant analysis (OPLS-DA) on serum metabolomes revealed that 79 ESI⁺ and 76 ESI metabolites were changed by diabetes mellitus (DM) compared to the normal control. Heatmaps on these diabetes-related metabolites showed that CC and RG/CC were clustered closer with the normal control, indicating that they had the better antidiabetic effects at the metabolite level. Fifteen of the differential metabolites in DM serum were annotated and their related metabolic pathways were lipid metabolism. These data suggested that RG and CC alone and in combination treatment had the antidiabetic activity in lowering glycemia and improving lipid metabolism. UPLC-Q/TOF-MS-based metabolomics shed light on the differential metabolite effects of RG and CC in DM treatment. However, it should be noted that some differential metabolites were possibly generated or not detected due to our groupwise run order, which possibly contributed to or covered the group difference in our experiment. They need to be further discriminated in the future work.
糖尿病是一种全球性的严重健康问题,可导致各种并发症。本研究旨在通过生化分析和基于 UPLC-Q/TOF-MS 的血清代谢组学分析,评估 RG、CC 单独及联合应用于高脂饮食诱导的糖尿病小鼠的降血糖作用。通过高脂饮食诱导糖尿病 KK-Ay 小鼠,并分别用 RG、CC 和它们的组合以及阳性对照药物二甲双胍治疗 8 周。单独使用 RG 和 CC 以及它们的组合可以降低空腹血糖水平,改善葡萄糖耐量,并恢复糖尿病小鼠血清中总胆固醇(TC)、甘油三酯(TG)、高密度脂蛋白胆固醇(HDL-C)和低密度脂蛋白胆固醇(LDL-C)的水平。血清代谢组学的正交偏最小二乘法判别分析(OPLS-DA)显示,与正常对照组相比,糖尿病小鼠有 79 个 ESI⁺和 76 个 ESI 代谢物发生变化。这些与糖尿病相关的代谢物的热图显示,CC 和 RG/CC 与正常对照组聚类更接近,表明它们在代谢物水平上具有更好的抗糖尿病作用。DM 血清中 15 个差异代谢物被注释,其相关代谢途径为脂质代谢。这些数据表明,RG 和 CC 单独和联合治疗具有降低血糖和改善脂质代谢的抗糖尿病活性。基于 UPLC-Q/TOF-MS 的代谢组学为 RG 和 CC 在糖尿病治疗中的差异代谢物作用提供了启示。然而,应该注意的是,由于我们的分组运行顺序,一些差异代谢物可能是由于生成或未检测到而导致的,这可能导致或掩盖了我们实验中的组间差异。在未来的工作中,它们需要进一步区分。