Systemic perturbations of key metabolites in diabetic rats during the evolution of diabetes studied by urine metabonomics.
Systemic perturbations of key metabolites in diabetic rats during the evolution of diabetes studied by urine metabonomics.
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DOI：
10.1371/journal.pone.0060409
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发表时间：
2013
期刊：
影响因子：
3.7
通讯作者：
Gao H
中科院分区：
文献类型：
--
作者：
Guan M;Xie L;Diao C;Wang N;Hu W;Zheng Y;Jin L;Yan Z;Gao H
阐明糖尿病进展过程中的代谢特征有助于了解糖尿病的发病机制。在这项研究中，尿代谢组学被用来确定糖尿病发展过程中发生的时间相关的代谢变化，并在全身代谢水平上表征糖尿病的生化过程。在不同时间点（糖尿病建模后1、5、10和15周）从糖尿病大鼠和年龄匹配的对照组收集尿液样品。采用多元数据分析和定量统计分析方法对尿样品的1H NMR谱进行分析。糖尿病组的代谢模式在每个时间点与对照组分离，表明糖尿病大鼠的代谢谱与对照组明显不同。此外，糖尿病1-wk组的样品是紧密相关的，而糖尿病15-wk组的样品是分散的，这表明各种并发症的存在对糖尿病的发病机制有显著贡献。定量分析表明，尿中与能量代谢、三羧酸（TCA）循环和甲胺代谢有关的代谢产物参与了糖尿病的发生发展。结果表明，代谢变化的数量与糖尿病的进展有关，而受干扰的代谢物代表了潜在的代谢生物标志物，并为阐明糖尿病及其并发症的发生和发展机制提供了线索。
Elucidation of metabolic profiles during diabetes progression helps understand the pathogenesis of diabetes mellitus. In this study, urine metabonomics was used to identify time-related metabolic changes that occur during the development of diabetes mellitus and characterize the biochemical process of diabetes on a systemic, metabolic level. Urine samples were collected from diabetic rats and age-matched controls at different time points: 1, 5, 10, and 15 weeks after diabetes modeling. 1H nuclear magnetic resonance (1H NMR) spectra of the urine samples were obtained and analyzed by multivariate data analysis and quantitative statistical analysis. The metabolic patterns of diabetic groups are separated from the controls at each time point, suggesting that the metabolic profiles of diabetic rats were markedly different from the controls. Moreover, the samples from the diabetic 1-wk group are closely associated, whereas those of the diabetic 15-wk group are scattered, suggesting that the presence of various of complications contributes significantly to the pathogenesis of diabetes. Quantitative analysis indicated that urinary metabolites related to energy metabolism, tricarboxylic acid (TCA) cycle, and methylamine metabolism are involved in the evolution of diabetes. The results highlighted that the numbers of metabolic changes were related to diabetes progression, and the perturbed metabolites represent potential metabolic biomarkers and provide clues that can elucidate the mechanisms underlying the generation and development of diabetes as well as its complication.
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DOI：
10.1016/0304-4165(65)90048-6
发表时间：
1965-01-01
期刊：
BIOCHIMICA ET BIOPHYSICA ACTA
影响因子：
--
作者：
ASATOOR, AM;SIMENHOF.ML
通讯作者：
SIMENHOF.ML
影响因子：
4.1
作者：
BUCKLEY, BM;WILLIAMSON, DH
通讯作者：
WILLIAMSON, DH
DOI：
10.1073/pnas.0508621102
发表时间：
2005-12-20
影响因子：
11.1
作者：
Pinkse, GGM;Tysma, OHM;Roep, BO
通讯作者：
Roep, BO
DOI：
10.1155/2012/740671
发表时间：
2012
期刊：
Evidence-based complementary and alternative medicine : eCAM
影响因子：
--
作者：
Abolfathi AA;Mohajeri D;Rezaie A;Nazeri M
通讯作者：
Nazeri M
影响因子：
1.8
作者：
Nicholson, JK;Lindon, JC;Holmes, E
通讯作者：
Holmes, E