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[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

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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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What this paper is about

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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Available 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.

Key concepts: Degree of unsaturation, Type 2 Diabetes Mellitus, Metabolite, Diabetes mellitus, Chemistry, Phospholipid, Internal medicine, High-performance liquid chromatography

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[UPLC-Q-TOF/MS analysis of phospholipids metabolite profiling in plasma of type 2 diabetes mellitus rat]. — Research Paper | ScholarLens