Sphingosine and dihydrosphingosine as biomarkers for multiple sclerosis identified by metabolomic profiling using coupled UPLC-MS

Sean Ward, Michael I. Page, Patrick McHugh, Nicholas T. Powles

Research output: Contribution to journalArticle

2 Citations (Scopus)


The project aim was to identify differences in the metabolomic profiles in the serum of patients with multiple sclerosis (MS), those with neuropathic pain (NP) and those with both MS and NP compared with controls and to identify potential biomarkers of each disease state. Metabolomic profiling was performed using ultra-high-performance liquid chromatography coupled to mass spectrometry and the data analysis involved parametric methods, principal component analysis, and discriminating filter analysis to determine the differences between disease and control serum samples. Sphingosine and dihydrosphingosine were identified as significant biomarkers.

Original languageEnglish
Pages (from-to)5929-5934
Number of pages6
JournalAnalytical Methods
Issue number41
Publication statusPublished - 25 Sep 2017


Cite this