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The central hypothesis of this protocol is that it is possible, using First Degree Relatives (FDRs) of patients with Multiple Sclerosis (MS) and assessing a variety of both known and unknown risk factors for MS, to define a risk algorithm for earliest signs of development of MS. The plan will be to do an abbreviated brain Magnetic Resonance Imaging (MRI) scan in asymptomatic, young FDRs, analyze blood for a variety of immunological, genetic, neuroaxonal damage, metabolic, viral serology and other markers, and have FDRs fill out a detailed bioscreen questionnaire about lifestyle factors and perform a cognitive screening test. The investigators will then compare the results of the various blood/other studies in FDRs with and without an MRI showing signs signs concerning for MS, as well as age-and sex-matched NON-FDRs who will have blood drawn and fill out the questionnaire. With this preliminary cross-sectional study, the investigators hope to begin to identify a risk stratification model for those at highest risk of developing MS, ie FDRs, with a long-term goal of developing a longitudinal study to increase sensitivity and specificity of the risk model.
Full description
Specific Aims, among asymptomatic first degree relatives (FDRs), aged 18-30, of multiple sclerosis (MS) patients:
Sequences to include
Blood analysis for:
Bioscreen analysis based on that from the Diabetes Autoimmunity Study in the Young (DAISY); and to include the Godin Leisure-Time Exercise Questionnaire (GLTEQ), which has been validated in both adults and children and a validated dietary/food frequency questionnaire. In addition perform a cognitive screen with a Symbol Digit Modality test.
Blood will also be stored for future potential analysis, including peripheral blood mononuclear cells, serum, and Ribonucleic acid (RNA).
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Inclusion criteria
FDR Inclusion Criteria
Non-FDR Inclusion Criteria
Exclusion criteria
FDR Exclusion Criteria
Non-FDR Exclusion Criteria
300 participants in 3 patient groups
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Central trial contact
John R Corboy, MD; Sydney Lipton, BA
Data sourced from clinicaltrials.gov
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