Multiple Sclerosis Resource Centre

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GMSI Award 2016 – Award Winner Daniel Anthony and colleagues

Daniel Anthony

This lecture was given at the Grant for Multiple Sclerosis Innovation Awards Event on September 15, 2016 in London. The GMSI award is sponsored by Merck KGaA, Darmstadt, Germany.

Biomarker analysis in blood using nuclear magnetic resonance spectroscopy (NMR) is a tool to help remove uncertainty with MS staging and to predict the rate of progress of clinically isolated syndrome (CIS). Using NMR is problematic in the brain due to the limited number of metabolites that can be observed. In contrast, blood provides about 70 metabolites and relative levels can be measured all at once. Using training sets, Prof Anthony’s group will analyse blood from known MS subtypes to determine how metabolite levels move relative to each other and will use these data to develop algorithms that differentiate between types of MS (eg, secondary-progressive versus relapse-remitting). Pilot data demonstrated that it is possible to distinguish between MS types based on metabolic profiles. The potential impacts in the clinic include an earlier diagnosis that enables more effective treatment decisions, better measures of response to treatment and a better understanding of the pathogensis of MS.

Professor Daniel Anthony, University of Oxford, UK