摘要
利用超高效液相色谱-飞行时间质谱联用开展糖尿病尿液代谢组学研究。尿液样品经稀释过滤后进样分析,对采集的谱图进行峰提取、峰匹配和过滤后,采用主成分分析的偏最小二乘-判别分析进行数据分析。结果发现,糖尿病人较正常人尿液的代谢表型发生了显著变异,主成分分析得分散点图中健康对照组与患病组分类良好;根据谱库共筛选了18个表征标记物,对其中14个进行了结构鉴定。糖尿病患者尿液中的糖、脂、氨基酸等代谢通路均发生了紊乱,在糖类代谢物中,钠葡萄糖醛酸含量明显高于正常对照组;在脂肪酸类物质中,20-羧基花生四烯酸、棕榈酸及磷脂酰肌醇在糖尿病患者尿液中含量高于正常对照组;氨基酸类代谢物中,酪氨酸、N-β-丙氨酰-L组氨酸、色氨酸含量较正常人低,戊二酸、烟酰甘氨酸、天冬氨酸、苯丙氨酸等含量升高。
An ultra-performance liquid chromatography-quadrupole-time of flight mass spectrometric（ UPLC /Q-TOF MS） method was developed for the study on metabolic variations of urine from diabetes mellitus patients and healthy volunteers. PLS-DA was used for group differentiation and potential biomarkers selection. As shown in the scores plot,the distinct clustering among diabetes mellitus patients and health controls was observed. In carbohydrate metabolites,the sodium glucuronic acid content of the patients was significantly higher than that of the normal control group. Compared with the normal control group,the fatty acids contents of the patients were higher than those of the control group,contents of 20-carboxy-arachidonic acid,palmitic acid in the urine of patients with diabetes were higher than that in normal subjects. The metabolite contents of amino acids including tyrosine,N-beta-alanyl-L histidine and tryptophan of the patients were lower than those of the normal,but the contents of glutaric acid,nicotinoyloxy glycine,aspartic acid,phenylalanine,etc. of the patients were lower than those of the normal people. These metabolites are associated with glucose and lipid regulating substances. This study showed the potential of metabolomic strategies for explanation of the mechanism of diseases and detection of specific biomarkers.
出处
《分析测试学报》
CAS
CSCD
北大核心
2014年第6期621-627,共7页
Journal of Instrumental Analysis
基金
国家自然科学基金项目(81260144)
