高等学校化学学报

高等学校化学学报 ›› 2008, Vol. 29 ›› Issue (11): 2171.doi:

• 研究快报 • 上一篇    下一篇

基于UPLC-oaTOF-MS的糖尿病及糖尿病肾病的代谢组学研究

张洁1, 严丽娟2, 林琳1, 陈文贵3, 宋秀宇3, 颜晓梅4, 杭纬1, 黄本立1   

    1. 厦门大学化学化工学院化学系, 现代分析科学教育部重点实验室, 厦门 361005;
    2. 厦门出入境检验检疫局技术中心, 厦门 361012;
    3. 厦门市第一医院, 厦门 361003;
    4. 厦门大学化学化工学院化学生物系, 化学生物学福建省重点实验室, 厦门 361005
  • 收稿日期:2008-06-17 修回日期:1900-01-01 出版日期:2008-11-10 发布日期:2008-11-10
  • 通讯作者: 张洁,杭纬

Metabonomics Research of Diabetes Mellitus and Diabetic Nephropathy Based on UPLC-oaTOF-MS System

ZHANG Jie1*, YAN Li-Juan2, LIN Lin1, CHEN Wen-Gui3, SONG Xiu-Yu3, YAN Xiao-Mei4, HANG Wei1*, HUANG Ben-Li1   

    1. Deparement of Chemistry, College of Chemistry and Chemical Engineering, The Key Laboratory of Analytical Science of the Ministry of Education, Xiamen University; Xiamen 361005, China;
    2. Technology Center, Xiamen Entry-Exit Inspection and Quarantine Bureau, Xiamen 361012, China;
    3. The First Hospital of Xiamen, Xiamen 361003, China;
    4. Depar Ement of Chemical Biology, College of Chemistry and Chemical Engineering, The Key Laboratory of Chemical Biology of Fujian Province, Xiamen University, Xiamen 361005, China
  • Received:2008-06-17 Revised:1900-01-01 Online:2008-11-10 Published:2008-11-10
  • Contact: ZHANG Jie,HANG Wei

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被引次数

33

摘要： 以糖尿病患者、糖尿病肾病患者和正常人的血清为研究对象, 采用超高效液相色谱-飞行时间质谱建立其代谢指纹图谱, 并结合主成分分析进行模式识别, 实现患者和正常人的区分, 并试图发现潜在的标志物.

关键词: 糖尿病, 糖尿病肾病, 代谢组学, 超高效液相色谱, 飞行时间质谱

Abstract: Ultra performance liquid chromatography(UPLC) coupled with orthogonal acceleration time-of-flight(oaTOF) mass spectrometry is becoming an effective and high-throughput analytical technique in metabonomics research. In this paper, an UPLC-oaTOF-MS system was employed to investigate the serum profiles of 40 diabete mellitus(DM)/diabetic nephropathy(DN) patients and 25 healthy volunteers in an effort to find potential biomarkers. The UPLC system produced information-rich chromatograms with typical measured peak widths of 4 s, and generated peak capacities of 225 in 15 min. After the UPLC-oaTOF-MS analysis, principal component analysis(PCA) was used for group differentiation and marker selection. In the projection of positive mode, DM/DN patients and the controls were obviously divided into three groups. Furthermore, two potential markers were identified as phytosphingosine and sphinganine, respectively. Phytosphingosine and sphinganine with decreased concentrations in the patients, were closely related to the sphingolipid metabolism.

Key words: Diabete mellitus, Diabetic nephropathy, Metabonomics, Ultra performance liquid chromatography, Time-of-flight mass spectrometer

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