Abstract
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.
| Language | English |
|---|---|
| Pages | 5929-5934 |
| Number of pages | 6 |
| Journal | Analytical Methods |
| Volume | 9 |
| Issue number | 41 |
| DOIs | |
| Publication status | Published - 25 Sep 2017 |
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Sphingosine and dihydrosphingosine as biomarkers for multiple sclerosis identified by metabolomic profiling using coupled UPLC-MS. / Ward, Sean; Page, Michael I.; McHugh, Patrick; Powles, Nicholas T.
In: Analytical Methods, Vol. 9, No. 41, 25.09.2017, p. 5929-5934.Research output: Contribution to journal › Article
TY - JOUR
T1 - Sphingosine and dihydrosphingosine as biomarkers for multiple sclerosis identified by metabolomic profiling using coupled UPLC-MS
AU - Ward, Sean
AU - Page, Michael I.
AU - McHugh, Patrick
AU - Powles, Nicholas T.
PY - 2017/9/25
Y1 - 2017/9/25
N2 - 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.
AB - 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.
KW - Multiple sclerosis
KW - sphingosine
KW - biomarkers
UR - http://www.scopus.com/inward/record.url?scp=85032619393&partnerID=8YFLogxK
U2 - 10.1039/c7ay01922j
DO - 10.1039/c7ay01922j
M3 - Article
VL - 9
SP - 5929
EP - 5934
JO - Analytical Methods
T2 - Analytical Methods
JF - Analytical Methods
SN - 1759-9660
IS - 41
ER -