Abstract #3386
Reliable differentiation of multiple sclerosis sub-types by serum NMR metabolomic analysis
James R Larkin 1 , Alex M Dickens 1,2 , Daniel C Anthony 2 , Julian L Griffin 3 , Ana Cavey 4 , Lucy Matthews 4 , Benjamin G Davis 5 , Timothy D W Claridge 5 , Jacqueline Palace 4 , and Nicola R Sibson 1
1
CR-UK/MRC Gray Institute for Radiation
Oncology and Biology, Department of Oncology, University
of Oxford, Oxford, Oxon, United Kingdom,
2
Department
of Pharmacology, University of Oxford, Oxford, Oxon,
United Kingdom,
3
Department
of Biochemistry, University of Cambridge, Cambridge,
Cambs, United Kingdom,
4
Nuffield
Department of Clinical Neurosciences, University of
Oxford, Oxford, Oxon, United Kingdom,
5
Department
of Chemistry, University of Oxford, Oxford, Oxon, United
Kingdom
We used high resolution NMR-based metabolomics to
investigate the differences between serum samples from
patient groups with both relapsing-remitting (RR) and
secondary progressive (SP) multiple sclerosis, as well
as control volunteers. We found differences between the
spectra from different groups and were able to build
predictive partial least squares discriminant analysis
models which separated not only patients from control
volunteers but also separated the RR and SP multiple
sclerosis patients. ROC curve analysis showed that this
prediction was sensitive and specific. This separation
is currently very difficult to achieve and
NMR-metabolomics may ease the diagnostic burden in the
clinic.
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