代谢组学应用于糖肾方治疗糖尿病肾病的疗效评价

建立了基于超高效液相色谱-飞行时间质谱(UPLC/TOF MS)分析技术的血浆代谢指纹谱,应用多元统计分析方法评价糖尿病肾病患者血浆代谢物变化差异及糖肾方的干预效果。通过研究糖肾方干预糖尿病肾病血浆内源性代谢物的变化,探索与该疾病密切相关的代谢途径,评价糖肾方的治疗效果。结果发现: 经糖肾方治疗后,血浆内源性代谢物发生了明显变化,磷脂代谢、脂肪酸代谢、氨基酸代谢、嘌呤嘧啶代谢、固醇类代谢等多个代谢途径得到纠正。本研究基于UPLC/TOF MS的代谢组学方法,能够从整体水平反映疾病治疗过程中代谢网络的变化趋势,证实糖肾方具有治疗糖尿病肾病的临床疗效并有助于阐释药物作用机理。

A metabonomic study on the treatment of diabetic nephropathy with traditional Chinese medicine Tang-shen-fang

An ultra performance liquid chromatography-time of flight mass spectrometry (UPLC/TOF MS)-based method for plasma metabolic fingerprinting analysis was established. Acquired data were analyzed by principal component analysis and orthogonal projection to latent structure-discriminant analysis. The effect of Tang-shen-fang (TSF) on the treatment of diabetic nephropathy patients was evaluated. Significant changes were found after 3 and 6 months’ treatment of TSF compared with placebo controls. Nineteen metabolites in plasma were identified as potential biomarkers, including lipids, fatty acids and amino acids. The present metabonomic study is helpful to grasp the changes of global metabolic networks during the treatment of TSF and to testify its clinical efficacy and understand its action mechanism.