Title |
Characterisation of tissue-type metabolic content in secondary progressive multiple sclerosis: a magnetic resonance spectroscopic imaging study
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Published in |
Journal of Neurology, May 2018
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DOI | 10.1007/s00415-018-8903-y |
Pubmed ID | |
Authors |
Ian Marshall, Michael J. Thrippleton, Mark E. Bastin, Daisy Mollison, David A. Dickie, Francesca M. Chappell, Scott I. K. Semple, Annette Cooper, Sue Pavitt, Gavin Giovannoni, Claudia A. M. Gandini Wheeler-Kingshott, Bhavana S. Solanky, Christopher J. Weir, Nigel Stallard, Clive Hawkins, Basil Sharrack, Jeremy Chataway, Peter Connick, Siddharthan Chandran, for the MS-SMART Trialists |
Abstract |
Proton magnetic resonance spectroscopy yields metabolic information and has proved to be a useful addition to structural imaging in neurological diseases. We applied short-echo time Spectroscopic Imaging in a cohort of 42 patients with secondary progressive multiple sclerosis (SPMS). Linear modelling with respect to brain tissue type yielded metabolite levels that were significantly different in white matter lesions compared with normal-appearing white matter, suggestive of higher myelin turnover (higher choline), higher metabolic rate (higher creatine) and increased glial activity (higher myo-inositol) within the lesions. These findings suggest that the lesions have ongoing cellular activity that is not consistent with the usual assumption of 'chronic' lesions in SPMS, and may represent a target for repair therapies. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 4 | 50% |
Spain | 1 | 13% |
Unknown | 3 | 38% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 6 | 75% |
Scientists | 1 | 13% |
Practitioners (doctors, other healthcare professionals) | 1 | 13% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 30 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Other | 5 | 17% |
Student > Bachelor | 4 | 13% |
Professor | 3 | 10% |
Student > Ph. D. Student | 3 | 10% |
Researcher | 3 | 10% |
Other | 8 | 27% |
Unknown | 4 | 13% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 8 | 27% |
Neuroscience | 6 | 20% |
Nursing and Health Professions | 2 | 7% |
Psychology | 2 | 7% |
Sports and Recreations | 2 | 7% |
Other | 4 | 13% |
Unknown | 6 | 20% |