Study Results
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Basic Information
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UNKNOWN
300 participants
OBSERVATIONAL
2018-07-26
2024-05-31
Brief Summary
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Detailed Description
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1. Determine the prevalence of brain MRI lesions disseminated in space (DIS), consistent with MS
2. Gather data on potential risk factors or early signs related to MS development, including markers for: genes, immunological function, environmental factors, neuroaxonal damage, Vitamin D levels, lipid metabolism, activity levels, mood abnormalities, and cognitive function. From this, develop a risk factor score, incorporating all relevant potential markers of increased risk of DIS.
3. To use this pilot, cross-sectional study as a base for development of a long-term, longitudinal, multi-center study to determine genetic and environmental risks for pre-symptomatic MS
4. To create and maintain a biobank of specimens for future analysis as other potential biomarkers become available.
5. Evaluate for potential dissemination in time (DIT) and dissemination in space (DIS) in asymptomatic FDRs through longitudinal assessment.
Sequences to include
1. Whole brain T1-weighted images acquired using 3-Dimensional fast spoiled-gradient recalled acquisitions (T1-3D-FSPGR) with 1 mm slice thickness and isotropic voxel dimensions.
2. Whole brain 3-Dimensional Double Inversion Recovery (DIR) acquisition with 1.5 mm slice thickness.
3. Whole brain T2-weighted Fluid Attenuated Inversion Recovery (FLAIR ) images with 1 mm slice thickness and isotropic voxel dimensions will be combined with
4. Whole brain T2\*-weighted segmented echo-planar imaging (segEPI) images with \<=1 mm slice thickness and isotropic voxel dimensions to obtain FLAIR\* images.
Blood analysis for:
1. Single Nucleotide Polymorphism analysis of greater than 200 known mutations associated with risk of MS, and do an human leukocyte antigen (HLA) analysis
2. CD20 on CD4+ cell analysis
3. B Cell Anergy analysis Lipid levels
4. Viral serologies (HSV, EBV, CMV, VZV)
5. Neurofilament Light
6. Vitamin D levels
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).
Conditions
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Study Design
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CASE_CONTROL
PROSPECTIVE
Study Groups
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FDR with abnormal brain MRI
First degree relatives fulfilling lesions disseminated in space on MRI
Brain MRI
Perform brain MRI; draw blood; fill out bioscreen questionnaire; perform SDMT
FDR with normal brain MRI
First degree relatives not fulfilling lesions disseminated in space on MRI
Brain MRI
Perform brain MRI; draw blood; fill out bioscreen questionnaire; perform SDMT
Non-FDR
Age and sex-matched controls to FDRs noted above
No interventions assigned to this group
Interventions
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Brain MRI
Perform brain MRI; draw blood; fill out bioscreen questionnaire; perform SDMT
Other Intervention Names
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Eligibility Criteria
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Inclusion Criteria
2. All races and ethnicities
3. Ages 18-30
4. Must have a parent, sibling or child with MS fulfilling McDonald 2017 criteria
5. No symptoms suggestive of MS on formal screen
6. Ability to undergo a non-contrast MRI and venipuncture, and perform an environmental screen, mood screen and cognitive test
1. Male and female
2. All races and ethnicities
3. Ages 18-30
4. Must NOT have a FDR (parent, sibling, child) or second degree relative (grandparent, aunt or uncle) with MS fulfilling McDonald 2017 criteria
5. No symptoms suggestive of MS on formal screen
6. Ability to undergo venipuncture and perform an environmental screen.
Exclusion Criteria
2. Prior diagnosis of autoimmune disease that may be associated with CNS dysfunction and MRI lesions, e.g. Sjogren's
1. Symptoms suggestive of MS on formal screen
2. Prior diagnosis of autoimmune disease that may be associated with CNS dysfunction and MRI lesions, e.g. Sjogren's
18 Years
30 Years
ALL
No
Sponsors
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Colorado School of Public Health
OTHER
University of Colorado, Denver
OTHER
Responsible Party
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Principal Investigators
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John R Corboy, MD
Role: PRINCIPAL_INVESTIGATOR
University of Colorado, Denver
Locations
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University of Colorado Anschutz Medical Campus
Aurora, Colorado, United States
Countries
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Central Contacts
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Facility Contacts
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References
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Bar-Or A. Multiple sclerosis and related disorders: evolving pathophysiologic insights. Lancet Neurol. 2016 Jan;15(1):9-11. doi: 10.1016/S1474-4422(15)00342-7. Epub 2015 Dec 8. No abstract available.
Solomon AJ, Corboy JR. The tension between early diagnosis and misdiagnosis of multiple sclerosis. Nat Rev Neurol. 2017 Sep;13(9):567-572. doi: 10.1038/nrneurol.2017.106. Epub 2017 Aug 11. No abstract available.
Signori A, Schiavetti I, Gallo F, Sormani MP. Subgroups of multiple sclerosis patients with larger treatment benefits: a meta-analysis of randomized trials. Eur J Neurol. 2015 Jun;22(6):960-6. doi: 10.1111/ene.12690. Epub 2015 Mar 19.
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Kavaliunas A, Manouchehrinia A, Stawiarz L, Ramanujam R, Agholme J, Hedstrom AK, Beiki O, Glaser A, Hillert J. Importance of early treatment initiation in the clinical course of multiple sclerosis. Mult Scler. 2017 Aug;23(9):1233-1240. doi: 10.1177/1352458516675039. Epub 2016 Oct 17.
Giovannoni G. The neurodegenerative prodrome in multiple sclerosis. Lancet Neurol. 2017 Jun;16(6):413-414. doi: 10.1016/S1474-4422(17)30127-8. No abstract available.
Okuda DT, Mowry EM, Beheshtian A, Waubant E, Baranzini SE, Goodin DS, Hauser SL, Pelletier D. Incidental MRI anomalies suggestive of multiple sclerosis: the radiologically isolated syndrome. Neurology. 2009 Mar 3;72(9):800-5. doi: 10.1212/01.wnl.0000335764.14513.1a. Epub 2008 Dec 10.
Okuda DT, Siva A, Kantarci O, Inglese M, Katz I, Tutuncu M, Keegan BM, Donlon S, Hua le H, Vidal-Jordana A, Montalban X, Rovira A, Tintore M, Amato MP, Brochet B, de Seze J, Brassat D, Vermersch P, De Stefano N, Sormani MP, Pelletier D, Lebrun C; Radiologically Isolated Syndrome Consortium (RISC); Club Francophone de la Sclerose en Plaques (CFSEP). Radiologically isolated syndrome: 5-year risk for an initial clinical event. PLoS One. 2014 Mar 5;9(3):e90509. doi: 10.1371/journal.pone.0090509. eCollection 2014.
Rojas JI, Patrucco L, Miguez J, Besada C, Cristiano E. Brain atrophy in radiologically isolated syndromes. J Neuroimaging. 2015 Jan-Feb;25(1):68-71. doi: 10.1111/jon.12182. Epub 2014 Oct 13.
Disanto G, Barro C, Benkert P, Naegelin Y, Schadelin S, Giardiello A, Zecca C, Blennow K, Zetterberg H, Leppert D, Kappos L, Gobbi C, Kuhle J; Swiss Multiple Sclerosis Cohort Study Group. Serum Neurofilament light: A biomarker of neuronal damage in multiple sclerosis. Ann Neurol. 2017 Jun;81(6):857-870. doi: 10.1002/ana.24954.
Weinstock-Guttman B, Zivadinov R, Mahfooz N, Carl E, Drake A, Schneider J, Teter B, Hussein S, Mehta B, Weiskopf M, Durfee J, Bergsland N, Ramanathan M. Serum lipid profiles are associated with disability and MRI outcomes in multiple sclerosis. J Neuroinflammation. 2011 Oct 4;8:127. doi: 10.1186/1742-2094-8-127.
Munger KL, Levin LI, Hollis BW, Howard NS, Ascherio A. Serum 25-hydroxyvitamin D levels and risk of multiple sclerosis. JAMA. 2006 Dec 20;296(23):2832-8. doi: 10.1001/jama.296.23.2832.
Salzer J, Hallmans G, Nystrom M, Stenlund H, Wadell G, Sundstrom P. Smoking as a risk factor for multiple sclerosis. Mult Scler. 2013 Jul;19(8):1022-7. doi: 10.1177/1352458512470862. Epub 2012 Dec 20.
De Stefano N, Cocco E, Lai M, Battaglini M, Spissu A, Marchi P, Floris G, Mortilla M, Stromillo ML, Paolillo A, Federico A, Marrosu MG. Imaging brain damage in first-degree relatives of sporadic and familial multiple sclerosis. Ann Neurol. 2006 Apr;59(4):634-9. doi: 10.1002/ana.20767.
Gabelic T, Ramasamy DP, Weinstock-Guttman B, Hagemeier J, Kennedy C, Melia R, Hojnacki D, Ramanathan M, Zivadinov R. Prevalence of radiologically isolated syndrome and white matter signal abnormalities in healthy relatives of patients with multiple sclerosis. AJNR Am J Neuroradiol. 2014 Jan;35(1):106-12. doi: 10.3174/ajnr.A3653. Epub 2013 Jul 25.
Swanton JK, Fernando K, Dalton CM, Miszkiel KA, Thompson AJ, Plant GT, Miller DH. Modification of MRI criteria for multiple sclerosis in patients with clinically isolated syndromes. J Neurol Neurosurg Psychiatry. 2006 Jul;77(7):830-3. doi: 10.1136/jnnp.2005.073247. Epub 2005 Jul 25.
Sati P, Oh J, Constable RT, Evangelou N, Guttmann CR, Henry RG, Klawiter EC, Mainero C, Massacesi L, McFarland H, Nelson F, Ontaneda D, Rauscher A, Rooney WD, Samaraweera AP, Shinohara RT, Sobel RA, Solomon AJ, Treaba CA, Wuerfel J, Zivadinov R, Sicotte NL, Pelletier D, Reich DS; NAIMS Cooperative. The central vein sign and its clinical evaluation for the diagnosis of multiple sclerosis: a consensus statement from the North American Imaging in Multiple Sclerosis Cooperative. Nat Rev Neurol. 2016 Dec;12(12):714-722. doi: 10.1038/nrneurol.2016.166. Epub 2016 Nov 11.
Solomon AJ, Schindler MK, Howard DB, Watts R, Sati P, Nickerson JP, Reich DS. "Central vessel sign" on 3T FLAIR* MRI for the differentiation of multiple sclerosis from migraine. Ann Clin Transl Neurol. 2015 Dec 16;3(2):82-7. doi: 10.1002/acn3.273. eCollection 2016 Feb.
International Multiple Sclerosis Genetics Consortium (IMSGC); Beecham AH, Patsopoulos NA, Xifara DK, Davis MF, Kemppinen A, Cotsapas C, Shah TS, Spencer C, Booth D, Goris A, Oturai A, Saarela J, Fontaine B, Hemmer B, Martin C, Zipp F, D'Alfonso S, Martinelli-Boneschi F, Taylor B, Harbo HF, Kockum I, Hillert J, Olsson T, Ban M, Oksenberg JR, Hintzen R, Barcellos LF; Wellcome Trust Case Control Consortium 2 (WTCCC2); International IBD Genetics Consortium (IIBDGC); Agliardi C, Alfredsson L, Alizadeh M, Anderson C, Andrews R, Sondergaard HB, Baker A, Band G, Baranzini SE, Barizzone N, Barrett J, Bellenguez C, Bergamaschi L, Bernardinelli L, Berthele A, Biberacher V, Binder TM, Blackburn H, Bomfim IL, Brambilla P, Broadley S, Brochet B, Brundin L, Buck D, Butzkueven H, Caillier SJ, Camu W, Carpentier W, Cavalla P, Celius EG, Coman I, Comi G, Corrado L, Cosemans L, Cournu-Rebeix I, Cree BA, Cusi D, Damotte V, Defer G, Delgado SR, Deloukas P, di Sapio A, Dilthey AT, Donnelly P, Dubois B, Duddy M, Edkins S, Elovaara I, Esposito F, Evangelou N, Fiddes B, Field J, Franke A, Freeman C, Frohlich IY, Galimberti D, Gieger C, Gourraud PA, Graetz C, Graham A, Grummel V, Guaschino C, Hadjixenofontos A, Hakonarson H, Halfpenny C, Hall G, Hall P, Hamsten A, Harley J, Harrower T, Hawkins C, Hellenthal G, Hillier C, Hobart J, Hoshi M, Hunt SE, Jagodic M, Jelcic I, Jochim A, Kendall B, Kermode A, Kilpatrick T, Koivisto K, Konidari I, Korn T, Kronsbein H, Langford C, Larsson M, Lathrop M, Lebrun-Frenay C, Lechner-Scott J, Lee MH, Leone MA, Leppa V, Liberatore G, Lie BA, Lill CM, Linden M, Link J, Luessi F, Lycke J, Macciardi F, Mannisto S, Manrique CP, Martin R, Martinelli V, Mason D, Mazibrada G, McCabe C, Mero IL, Mescheriakova J, Moutsianas L, Myhr KM, Nagels G, Nicholas R, Nilsson P, Piehl F, Pirinen M, Price SE, Quach H, Reunanen M, Robberecht W, Robertson NP, Rodegher M, Rog D, Salvetti M, Schnetz-Boutaud NC, Sellebjerg F, Selter RC, Schaefer C, Shaunak S, Shen L, Shields S, Siffrin V, Slee M, Sorensen PS, Sorosina M, Sospedra M, Spurkland A, Strange A, Sundqvist E, Thijs V, Thorpe J, Ticca A, Tienari P, van Duijn C, Visser EM, Vucic S, Westerlind H, Wiley JS, Wilkins A, Wilson JF, Winkelmann J, Zajicek J, Zindler E, Haines JL, Pericak-Vance MA, Ivinson AJ, Stewart G, Hafler D, Hauser SL, Compston A, McVean G, De Jager P, Sawcer SJ, McCauley JL. Analysis of immune-related loci identifies 48 new susceptibility variants for multiple sclerosis. Nat Genet. 2013 Nov;45(11):1353-60. doi: 10.1038/ng.2770. Epub 2013 Sep 29.
Provided Documents
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Document Type: Study Protocol and Statistical Analysis Plan
Other Identifiers
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17-1884
Identifier Type: -
Identifier Source: org_study_id
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