UPLC-Q-TOF/MS based metabolomic profiling of serum and urine of hyperlipidemic rats induced by high fat diet  

作　　者：Qiong Wu Hai Zhang Xin Dong Xiao-Fei Chen Zhen-Yu Zhu Zhan-Ying Hong Yi-Feng Chai 

机构地区：[1]School of Pharmacy, Second Militaty Medical University

出　　处：《Journal of Pharmaceutical Analysis》2014年第6期360-367,共8页药物分析学报（英文版）

基　　金：financial support from the National Natural Science Foundation of China(No.81273472);the Science and Technology Commission of Shanghai Municipality (No.12401900802)

摘　　要：Hyperlipidemia is considered to be a high lipid level in blood,can induce metabolic disorders and dysfunctions of the body,and results in some severe complications.Therefore,hunting for some metabolite markers and clarifying the metabolic pathways in vivo will be an important strategy in the treatment and prevention of hyperlipidemia.In this study,a rat model of hyperlipidemia was constructed according to histopathological data and biochemical parameters,and the metabolites of serum and urine were analyzed by UPLC-Q-TOF/MS.Combining pattern recognition and statistical analysis.19 candidate biomarkers were screened and identified.These changed metabolites indicated that during the development and progression of hyperlipidemia,energy metabolism,lipid metabolism,amino acid metabolism and nucleotide metabolism were mainly disturbed,which are reported to be closely related to diabetes,cardiovascular diseases,etc.This study demonstrated that a UPLC-Q-TOF/MS based metabolomic approach is useful to profile the alternation of endogenous metabolites of hyperlipidemia.Hyperlipidemia is considered to be a high lipid level in blood,can induce metabolic disorders and dysfunctions of the body,and results in some severe complications.Therefore,hunting for some metabolite markers and clarifying the metabolic pathways in vivo will be an important strategy in the treatment and prevention of hyperlipidemia.In this study,a rat model of hyperlipidemia was constructed according to histopathological data and biochemical parameters,and the metabolites of serum and urine were analyzed by UPLC-Q-TOF/MS.Combining pattern recognition and statistical analysis.19 candidate biomarkers were screened and identified.These changed metabolites indicated that during the development and progression of hyperlipidemia,energy metabolism,lipid metabolism,amino acid metabolism and nucleotide metabolism were mainly disturbed,which are reported to be closely related to diabetes,cardiovascular diseases,etc.This study demonstrated that a UPLC-Q-TOF/MS based metabolomic approach is useful to profile the alternation of endogenous metabolites of hyperlipidemia.

关 键 词：UPLC-Q-TOF/MS HYPERLIPIDEMIA METABOLOMIC Pattern recognition 

分 类 号：R589.2[医药卫生—内分泌]