[UPLC-Q-TOF/MS analysis of phospholipids metabolite profiling in plasma of type 2 diabetes mellitus rat].
Pingyan Zeng, Yu Zhang, Wen Rui, Xia Wu, Yifan Feng
Abstract
Pingyan Zeng, Yu Zhang, Wen Rui, Xia Wu, Yifan Feng
Abstract
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 MassLynx 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 (BioMark 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 T2DM.
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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 MassLynx 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 (BioMark 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 T2DM.
Key concepts: Degree of unsaturation, Type 2 Diabetes Mellitus, Metabolite, Diabetes mellitus, Chemistry, Phospholipid, Internal medicine, High-performance liquid chromatography