Metabolomic profiling in multiple sclerosis: insights into biomarkers and pathogenesis

Mult Scler. 2014 Sep;20(10):1396-400. doi: 10.1177/1352458513516528. Epub 2014 Jan 27.

Abstract

Metabolomics enables the provision of sensitive bio-markers of disease. We performed 800 MHz (1)H-nuclear magnetic resonance (NMR) spectroscopic analyses of cerebrospinal fluid (CSF) specimens to identify biomarkers of multiple sclerosis (MS), yielding reproducible detection of 15 metabolites from MS (n=15) and non-MS (n=17) patients. Mean levels of choline, myo-inositol and threonate were increased, whereas 3-hydroxybutyrate, citrate, phenylalanine, 2-hydroxyisovalerate and mannose were decreased in MS-derived CSF (p<0.05), suggesting alterations to energy and phospholipid metabolism. Multivariate hierarchal cluster analysis indicated a high correlation within the metabolite profiles, significantly clustering samples into the two clinical groups, which was corroborated using principal components analysis. CSF metabolomics have the capacity to yield quantitative biomarkers and insights into the pathogenesis of MS.

Keywords: Multiple sclerosis; biomarker; cerebrospinal fluid; metabolomics; nuclear magnetic resonance.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adult
  • Biomarkers / cerebrospinal fluid*
  • Case-Control Studies
  • Cluster Analysis
  • Demyelinating Diseases / cerebrospinal fluid
  • Demyelinating Diseases / diagnosis*
  • Demyelinating Diseases / metabolism
  • Energy Metabolism*
  • Female
  • Humans
  • Male
  • Metabolomics / methods*
  • Middle Aged
  • Multiple Sclerosis, Chronic Progressive / cerebrospinal fluid
  • Multiple Sclerosis, Chronic Progressive / diagnosis*
  • Multiple Sclerosis, Chronic Progressive / mortality
  • Multiple Sclerosis, Relapsing-Remitting / cerebrospinal fluid
  • Multiple Sclerosis, Relapsing-Remitting / diagnosis*
  • Multiple Sclerosis, Relapsing-Remitting / metabolism
  • Multivariate Analysis
  • Phospholipids / metabolism
  • Predictive Value of Tests
  • Principal Component Analysis
  • Prognosis
  • Proton Magnetic Resonance Spectroscopy*

Substances

  • Biomarkers
  • Phospholipids