Loading…

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...

Full description

Saved in:
Bibliographic Details
Published in:The international journal of biochemistry & cell biology 2017-12, Vol.93, p.148-155
Main Authors: Poddighe, Simone, Murgia, Federica, Lorefice, Lorena, Liggi, Sonia, Cocco, Eleonora, Marrosu, Maria Giovanna, Atzori, Luigi
Format: Article
Language:English
Subjects:
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
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
ISSN:1357-2725
1878-5875
DOI:10.1016/j.biocel.2017.07.004