Metabonomic profiling of liver metabolites by gas chromatography-mass spectrometry and its application to characterizing hyperlipidemia.
The measurement of metabolites in tissues is of great importance in metabonomic research in the biomedical sciences, providing more relevant information than is available from systemic biofluids. The liver is the most important organ/tissue for most biochemical reactions, and the metabolites in the liver are of great interest to scientists. To develop an optimized extraction method and comprehensive profiling technique for liver metabolites, organic solvents of various compositions were designed using design of experiments to extract metabolites from the liver, and the metabolites were profiled by gas chromatography/time-of-flight mass spectrometry (GC/TOF-MS). The resolved peak areas were processed by principle components analysis, partial least-squares projections to latent structures, and discriminant analysis. The results suggest the highest extraction efficiency was for methanol-water, which maximized the majority of GC/TOF-MS responses. The optimal solvent was applied to extract metabolites in liver of hyperlipidemia hamster and the control. The GC/TOF-MS profiles of liver metabolites showed obvious differences between hyperlipidemic hamsters and controls. A comparison of liver and serum data from the same animals identified common biomarkers and presented complementary information. Our results suggest that liver metabonomics is a valuable technique and that the combined analysis of systematic biofluids and local tissues is meaningful and complementary, recovering more comprehensive metabonomic data than either analysis alone.
Gu
Shenghua
S
China Pharmaceutical University, Nanjing, China.
A
Jiye
J
Wang
Guangji
G
Zha
Weibin
W
Yan
Bei
B
Zhang
Ying
Y
Ren
Hongcan
H
Cao
Bei
B
Liu
Linsheng
L
D000818:Animals; D006224:Cricetinae; D008401:Gas Chromatography-Mass Spectrometry / Q000379:methods*; D006949:Hyperlipidemias / Q000378:metabolism; D008099:Liver / Q000737:chemistry* / Q000378:metabolism; D008297:Male; D055432:Metabolomics / Q000379:methods*; D044967:Serum / Q000737:chemistry