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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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