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|dc.description.abstract||Multiple sclerosis (MS) is the most common type of demyelinating disease of the neuron. In this study, time-kinetic metabolomics and lipidomics study were performed to determine the metabolic change with the disease progression using mice plasma samples of MOG35-55-induced experimental autoimmune encephalomyelitis (EAE), a widely used animal model of MS. UPLC-Orbitrap-MS was used for the metabolite profiling and the MS data were analyzed by several statistical methods. PLS-DA models showed good clustering results by each time-points of control and EAE induced group. Total 49 metabolites showed significant changes with the disease progression. Among them, the mainly changed metabolites were glycerophospholipids and fatty acyls, accounting for 67% and 18% of identified metabolites. They showed declining trends in the EAE group most clearly at day 30. On the other hand, taurine-conjugated bile acids were gradually upregulated over the disease progression. Glycerolipids and sphingolipids were also observed significant higher level from day10 in EAE mice. These metabolic changes could be implicated in the essential role of lipid metabolism and inflammatory pathways associated with EAE pathogenesis. In conclusion, overall metabolic changes associated with specific metabolism pathways by the progression of the EAE progression stages observed in this study will provide crucial information for suggesting potential therapeutic targets or diagnostic biomarkers of multiple sclerosis.||-|
|dc.title||Metabolomic and lipidomic study in EAE induced mice plasma to identify metabolic changes by disease progression||-|
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