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

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。

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

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.