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Metabolomic analysis identifies altered metabolic pathways in Multiple Sclerosis
[Display omitted] •A characterization of metabolomic profile plasma from patients with MS is presented.•GC–MS-based metabolomic analysis is able to discriminate the profile of MS from HC.•Asparagine and citrulline biosynthesis are the canonical pathways affected in MS. Multiple sclerosis (MS) is a c...
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Published in: | The international journal of biochemistry & cell biology 2017-12, Vol.93, p.148-155 |
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Main Authors: | , , , , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
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Summary: | [Display omitted]
•A characterization of metabolomic profile plasma from patients with MS is presented.•GC–MS-based metabolomic analysis is able to discriminate the profile of MS from HC.•Asparagine and citrulline biosynthesis are the canonical pathways affected in MS.
Multiple sclerosis (MS) is a chronic, demyelinating disease that affects the central nervous system and is characterized by a complex pathogenesis and difficult management. The identification of new biomarkers would be clinically useful for more accurate diagnoses and disease monitoring. Metabolomics, the identification of small endogenous molecules, offers an instantaneous molecular snapshot of the MS phenotype. Here the metabolomic profiles (utilizing plasma from patients with MS) were characterized with a Gas cromatography-mass spectrometry-based platform followed by a multivariate statistical analysis and comparison with a healthy control (HC) population. The obtained partial least square discriminant analysis (PLS-DA) model identified and validated significant metabolic differences between individuals with MS and HC (R2X=0.223, R2Y=0.82, Q2=0.562; p |
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ISSN: | 1357-2725 1878-5875 |
DOI: | 10.1016/j.biocel.2017.07.004 |