色谱

色谱 ›› 2011, Vol. 29 ›› Issue (04): 307-313.DOI: 10.3724/SP.J.1123.2011.00307

• 特别策划 • 上一篇    下一篇

基于液相色谱与质谱联用的代谢组学及磷脂轮廓分析在糖代谢异常研究中的应用

赵素敏1,3, 郑虹2, 路鑫1, 刘颖2, 苏本利2, 许国旺1*   

  1. 1. 中国科学院分离分析化学重点实验室, 中国科学院大连化学物理研究所, 国家色谱研究分析中心, 辽宁 大连 116023; 2. 大连医科大学附属第二医院, 辽宁 大连 116023; 3. 中国科学院研究生院, 北京 100049
  • 收稿日期:2011-03-15 修回日期:2011-03-15 出版日期:2011-04-28 发布日期:2011-04-28
  • 通讯作者: 许国旺,博士,研究员,主要研究方向为色谱及质谱技术的基础理论和应用研究,近年来尤其注重研究发展多维色谱和代谢组学. E-mail: xugw@dicp.ac.cn.
  • 基金资助:
    科技部国家重点基础研究发展“973”计划项目(2007CB914701)和科技部国际科技合作项目(2009DFA41250).

Metabonomics and phospholipid metabolic profiling of abnormal glucose metabolism based on high performance liquid chromatography-electrospray mass spectrometry

ZHAO Sumin1,3, ZHENG Hong2, LU Xin1, LIU Ying2, SU Benli2, XU Guowang1*   

  1. 1. CAS Key Laboratory of Separation Science for Analytical Chemistry, National Chromatographic R. & A. Center, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian 116023, China; 2. The Second Affiliated Hospital of Dalian Medical University, Dalian 116023, China; 3. Graduate University of Chinese Academy of Sciences, Beijing 100049, China
  • Received:2011-03-15 Revised:2011-03-15 Online:2011-04-28 Published:2011-04-28

PDF

907

被引次数

40

摘要： 糖代谢异常由于其发病率的升高和影响人类的生活质量而日益受到科学研究者的关注。实验中利用液相色谱与质谱(LC-MS)联用技术对糖代谢异常分别进行了代谢组学和磷脂轮廓分析,研究了糖代谢异常中的两个阶段——空腹血糖受损(IFG)和初诊糖尿病(NDD)的代谢差异情况。首先从LC-MS采集到血浆中代谢组学分析及磷脂轮廓分析的原始谱图,通过软件的峰匹配等步骤得到峰表,之后利用多种统计分析方法进行数据分析,通过正交校正的偏最小二乘法(OSC-PLS)对样品进行分型,根据模型的变量重要因子(VIP)、显著性差异检验结果等筛选出差异性代谢物。结果显示: NDD组比IFG组与对照组(N组)比较存在更明显的代谢差异,发生变化的化合物主要为游离脂肪酸、溶血磷脂酰胆碱、磷脂酰乙醇胺、鞘磷脂和磷脂酰胆碱等。

关键词: 初诊糖尿病, 代谢组学, 空腹血糖受损, 磷脂轮廓分析, 糖代谢异常, 液相色谱-质谱联用

Abstract: Abnormal glucose metabolism (AGM) has received more and more attention since its incidence is increasing. Metabonomics and phospholipid metabolic profiling methods based on high performance liquid chromatography-electrospray mass spectrometry (HPLC/ESI-MS) have been applied in the study of AGM. The two different stages of AGM, including impaired fasting glucose (IFG) and newly-diagnosed diabetes (NDD), were investigated. The raw data of both metabonomics and phospholipid metabolic profiling collected from HPLC/ESI-MS were transformed and the peak lists were gained through commercial software. The differentiations among the three groups of NDD, IFG and normal fasting glucose (N) were found through the peak lists were performed with orthogonal signal correction and partial least-squares (OSC-PLS). The metabolic differentiation compounds were selected when their variable importance values were more than 1, and p＜0.05 in phospholipid metabolic profiling data. There were more changes in the NDD group than those in the IFG group. The metabolic differentiation compounds were free fatty acids, lysophosphatidylcholine, phosphatidylethanolamine, sphingomyelin and phosphatidylcholine. This research provided some new information of what had happened in the people with AGM.

Key words: abnormal glucose metabolism (AGM), impaired fasting glucose (IFG), metabonomics, newly-diagnosed diabetes (NDD), phospholipid metabolic profiling, liquid chromatography-mass spectrometry (LC-MS)