Diao Chengfeng, Zhao Liangcai, Guan Mimi, Zheng Yongquan, Chen Minjiang, Yang Yunjun, Lin Li, Chen Weijian, Gao Hongchang
Department of Radiology, the first Affiliated Hospital, Wenzhou Medical University, Wenzhou 325000, PR China.
Mol Biosyst. 2014 Mar 4;10(3):686-93. doi: 10.1039/c3mb70609e. Epub 2014 Jan 21.
Diabetes mellitus is a typical heterogeneous metabolic disorder characterized by abnormal metabolism of carbohydrates, lipids, and proteins. Investigating the changes in metabolic pathways during the evolution of diabetes mellitus may contribute to the understanding of its metabolic features and pathogenesis. In this study, serum samples were collected from diabetic rats and age-matched controls at different time points: 1 and 9 weeks after streptozotocin (STZ) treatment. (1)H nuclear magnetic resonance ((1)H NMR)-based metabonomics with quantitative analysis was performed to study the metabolic changes. The serum samples were also subjected to clinical chemistry analysis to verify the metabolic changes observed by metabonomics. Partial least squares discriminant analysis (PLS-DA) demonstrated that the levels of serum metabolites in diabetic rats are different from those in control rats. These findings indicate that the metabolic characteristics of the two groups are markedly different at 1 and 9 weeks. Quantitative analysis showed that the levels of some metabolites, such as pyruvate, lactate, citrate, acetone, acetoacetate, acetate, glycerol, and valine, varied in a time-dependent manner in diabetic rats. These results suggest that serum metabolites related to glycolysis, the tricarboxylic acid cycle, gluconeogenesis, fatty acid β-oxidation, branched-chain amino acid metabolism, and the tyrosine metabolic pathways are involved in the evolution of diabetes. The metabolic changes represent potential features and promote a better understanding of the mechanisms involved in the development of diabetes mellitus. This work further suggests that (1)H NMR metabonomics is a valuable approach for providing novel insights into the pathogenesis of diabetes mellitus and its complications.
糖尿病是一种典型的异质性代谢紊乱疾病,其特征为碳水化合物、脂质和蛋白质的代谢异常。研究糖尿病发展过程中代谢途径的变化可能有助于理解其代谢特征和发病机制。在本研究中,于不同时间点从糖尿病大鼠和年龄匹配的对照大鼠中采集血清样本:链脲佐菌素(STZ)治疗后1周和9周。采用基于氢核磁共振(¹H NMR)的代谢组学结合定量分析来研究代谢变化。血清样本还进行了临床化学分析,以验证代谢组学观察到的代谢变化。偏最小二乘判别分析(PLS - DA)表明,糖尿病大鼠血清代谢物水平与对照大鼠不同。这些发现表明,两组在1周和9周时的代谢特征明显不同。定量分析显示,糖尿病大鼠体内某些代谢物的水平,如丙酮酸、乳酸、柠檬酸、丙酮、乙酰乙酸、乙酸、甘油和缬氨酸,呈时间依赖性变化。这些结果表明,与糖酵解、三羧酸循环、糖异生、脂肪酸β氧化、支链氨基酸代谢以及酪氨酸代谢途径相关的血清代谢物参与了糖尿病的发展过程。这些代谢变化代表了潜在特征,并有助于更好地理解糖尿病发生发展过程中的相关机制。这项工作进一步表明,¹H NMR代谢组学是一种有价值的方法,可为深入了解糖尿病及其并发症的发病机制提供新的见解。