Wei Tingting, Zhao Liangcai, Jia Jianmin, Xia Huanhuan, Du Yao, Lin Qiuting, Lin Xiaodong, Ye Xinjian, Yan Zhihan, Gao Hongchang
School of Pharmaceutical Sciences, Wenzhou Medical University, Wenzhou 325035 China.
Radiology Department of the Second Affiliated Hospital, Wenzhou Medical University, Wenzhou 325027, China.
Sci Rep. 2015 Jul 7;5:11998. doi: 10.1038/srep11998.
Diabetic nephropathy (DN) is one of the lethal manifestations of diabetic systemic microvascular disease. Elucidation of characteristic metabolic alterations during diabetic progression is critical to understand its pathogenesis and identify potential biomarkers and drug targets involved in the disease. In this study, (1)H nuclear magnetic resonance ((1)H NMR)-based metabonomics with correlative analysis was performed to study the characteristic metabolites, as well as the related pathways in urine and kidney samples of db/db diabetic mice, compared with age-matched wildtype mice. The time trajectory plot of db/db mice revealed alterations, in an age-dependent manner, in urinary metabolic profiles along with progression of renal damage and dysfunction. Age-dependent and correlated metabolite analysis identified that cis-aconitate and allantoin could serve as biomarkers for the diagnosis of DN. Further correlative analysis revealed that the enzymes dimethylarginine dimethylaminohydrolase (DDAH), guanosine triphosphate cyclohydrolase I (GTPCH I), and 3-hydroxy-3-methylglutaryl-CoA lyase (HMG-CoA lyase) were involved in dimethylamine metabolism, ketogenesis and GTP metabolism pathways, respectively, and could be potential therapeutic targets for DN. Our results highlight that metabonomic analysis can be used as a tool to identify potential biomarkers and novel therapeutic targets to gain a better understanding of the mechanisms underlying the initiation and progression of diseases.
糖尿病肾病(DN)是糖尿病全身性微血管疾病的致命表现之一。阐明糖尿病进展过程中的特征性代谢改变对于理解其发病机制以及识别该疾病涉及的潜在生物标志物和药物靶点至关重要。在本研究中,采用基于氢核磁共振(¹H NMR)的代谢组学结合相关分析,对db/db糖尿病小鼠与年龄匹配的野生型小鼠的尿液和肾脏样本中的特征性代谢物以及相关代谢途径进行了研究。db/db小鼠的时间轨迹图显示,随着肾脏损伤和功能障碍的进展,尿代谢谱以年龄依赖性方式发生改变。年龄依赖性和相关性代谢物分析确定,顺乌头酸和尿囊素可作为诊断DN的生物标志物。进一步的相关分析表明,二甲基精氨酸二甲胺水解酶(DDAH)、鸟苷三磷酸环化水解酶I(GTPCH I)和3-羟基-3-甲基戊二酰辅酶A裂解酶(HMG-CoA裂解酶)分别参与二甲胺代谢、生酮作用和GTP代谢途径,可能是DN的潜在治疗靶点。我们的结果表明,代谢组学分析可作为一种工具来识别潜在的生物标志物和新的治疗靶点,以便更好地理解疾病发生和进展背后的机制。