2型糖尿病模型大鼠血浆磷脂的UPLC-Q-TOF/MS分析  

UPLC-Q-TOF/MS analysis of phospholipids metabolite profiling in plasma of type 2 diabetes mellitus rat

作　　者：曾平燕 张宇[1] 芮雯[1] 吴霞[1] 冯毅凡[1] 

机构地区：[1]广东药学院中心实验室,广东广州510006

出　　处：《药学学报》2015年第7期882-886,共5页Acta Pharmaceutica Sinica

基　　金：广东省重大科技专项资金资助项目(2013A022100040)

摘　　要：对2型糖尿病(T2DM)模型大鼠与正常组大鼠血浆磷脂代谢的情况进行对比分析,寻找相关的病理生物标记物。将SD大鼠随机分为2组:正常对照组(NC)和2型糖尿病模型组(MC),采用UPLC-Q-TOF/MS研究机体在正常状态、2型糖尿病状态下的大鼠体内血浆脂质代谢物变化的情况。得到大量的数据,结合二级质谱裂解数据、元素组成、数据库匹配,鉴定得到大鼠血浆磷脂成分,再通过R软件中Bio Mark软件包实现对两组样品中特异性的标志物进行筛选。筛选出的磷脂病理标记物主要为磷脂酰胆碱类(PC)和甘油三酯类(TG),其中MC组中大鼠血浆二酰基PC类的含量明显低于NC组大鼠,在病理状态下表现为高碳数高不饱和度的TG类成分的减少。在2型糖尿病状态下,大鼠血浆磷脂发生了明显的代谢变化,而这些代谢变化与2型糖尿病的发生与发展密切相关。This study reported the analysis of plasma phospholipid metabolism of the rats and the pathological biomarkers between the type 2 diabetes model control group（MC） and the normal control group（NC）. SD rats were randomly divided into 2 groups： NC and MC. To investigate state of plasma metabolite profiling in normal body, type 2 diabetes mellitus（T2DM） model group using UPLC-Q-TOF/MS which was used as analysis tool in this research. The compounds were identified by UPLC-Q-TOF/MS based on MS/MS fragment ions information, element composition in Mass Lynx 4.1 and the Lipid Maps database. The sign of two groups of samples in specific markers for screening was through a software package in R software（Bio Mark software）. The results show that the pathological markers were mainly phosphatidylcholine（PC） and triglycerides（TG）; the 2-acyl PC in the MC group was less more obviously than that in the NC group; high carbon number and high degree of unsaturation of the TG was reduced under the condition of type 2 diabetes. In the state of type 2 diabetes, metabolic changes occurred in rat plasma phospholipids obviously, which had a close relationship with the occurrence and development of T2 DM.

关 键 词：2型糖尿病 磷脂代谢 生物标记物 

分 类 号：R917[医药卫生—药物分析学]