Obesity and Pediatric Multiple Sclerosis
Obesity as a Driver of Inflammation and Brain Volume Loss in Pediatric Multiple Sclerosis.
1 other identifier
observational
116
1 country
2
Brief Summary
Obesity is one possible contributor to severity of multiple sclerosis and progression of the disease. We already know that obesity is a risk determinant for acquiring MS, yet the impact of obesity on pediatric MS disease expression and course is unknown. This study will evaluate the relationship between obesity, obesity-derived inflammatory mediators, and imaging metrics of MS severity in children. Understanding how childhood obesity contributes to MS severity/progression may yield fundamental insights into disease pathobiology - which may thereby lead to effective strategies for halting its progression in its earliest stages.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P50-P75 for all trials
Started Jun 2021
Longer than P75 for all trials
2 active sites
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
Click on a node to explore related trials.
Study Timeline
Key milestones and dates
First Submitted
Initial submission to the registry
October 16, 2020
CompletedFirst Posted
Study publicly available on registry
October 19, 2020
CompletedStudy Start
First participant enrolled
June 3, 2021
CompletedPrimary Completion
Last participant's last visit for primary outcome
May 21, 2026
CompletedStudy Completion
Last participant's last visit for all outcomes
June 1, 2027
ExpectedApril 29, 2026
April 1, 2026
5 years
October 16, 2020
April 27, 2026
Conditions
Keywords
Outcome Measures
Primary Outcomes (1)
Whole brain volumes and focal demyelinating lesion volumes
58 patients with a recent MS diagnosis, stratified by weight category (29 normal weight and 29 overweight/obese). Subjects will undergo MRI to quantify total brain and lesion volume. Z-scores for volumetrics will be determined using age- and sex-matched normative data from the NIH-sponsored ABCD dataset. We will compare mean Z-scores of whole brain volume and focal demyelinating lesion volumes between the two groups.
3 years
Secondary Outcomes (2)
Adipo-cytokine profiles
3 years
Adipo-cytokines correlation with brain volume loss and neuroaxonal injury
3 years
Study Arms (2)
Pediatric MS Subjects
Subjects with pediatric MS will undergo fasting lab work, non-contrasted MRI, DEXA scan, and surveys.
Healthy controls
Non-MS pediatric control subjects who will undergo fasting lab work, DEXA scan, and surveys for comparison to control group.
Eligibility Criteria
The study population will be draw from outpatient clinics at UVA and CHOP as well as the surrounding communities for each institution. Subjects will be screened for eligibility to include BMI measurements at time of study discussion if they are interested.
You may not qualify if:
- Ability to provide informed consent (or assent for minors)
- Relapsing-remitting MS diagnosis per 2017 McDonald criteria
- Ages ≥ 10 years to ≤ 20 years
- Diagnosis of MS or first clinical symptom of MS (whichever comes first) within ≤ 36 months from the time of enrollment.
- Progressive form of MS
- Patients with an active, chronic disease of the immune system other than MS
- Conditions affecting the central nervous system (CNS) white matter (e.g. leukodystrophy) or for whom another condition may better explain imaging abnormalities (e.g. lupus)
- Myelin oligodendrocyte glycoprotein (MOG) antibodies on serologic testing
- Corticosteroid exposure within 30 days of study enrollment
- Ability to provide informed consent (or assent for minors)
- Age-, sex-, \& BMI-matched to pediatric MS subjects (1:1 allocation)
- Healthy children and young adults from the local communities
- History of past imaging or neurologic event raising concern for any inflammatory CNS process
- Medical history or previous/current diagnosis consistent with an autoimmune disorder pertaining to any system of the body (e.g. diabetes mellitus type 1, Crohn's disease, lupus)
Contact the study team to confirm eligibility.
Sponsors & Collaborators
- University of Virginialead
- Children's Hospital of Philadelphiacollaborator
Study Sites (2)
Children's Hospital of Philadelphia
Philadelphia, Pennsylvania, 19104, United States
University of Virginia
Charlottesville, Virginia, 22903, United States
Related Publications (20)
Brenton JN, Koenig S, Goldman MD. Vitamin D status and age of onset of demyelinating disease. Mult Scler Relat Disord. 2014 Nov;3(6):684-8. doi: 10.1016/j.msard.2014.07.004. Epub 2014 Jul 28.
PMID: 25891547BACKGROUNDWoolbright EB, Brenton JN. Attitudes toward obestity and diet modification in pediatric MS patients. Americas Committee for Treatment and Research in Multiple Sclerosis (ACTRIMS); February, 28 2020, 2019; West Palm Beach, FL.
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PMID: 6685237BACKGROUNDCenters for Disease Control. Healthy Weight. In. Vol 20162015
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PMID: 29860296BACKGROUNDSiller N, Kuhle J, Muthuraman M, Barro C, Uphaus T, Groppa S, Kappos L, Zipp F, Bittner S. Serum neurofilament light chain is a biomarker of acute and chronic neuronal damage in early multiple sclerosis. Mult Scler. 2019 Apr;25(5):678-686. doi: 10.1177/1352458518765666. Epub 2018 Mar 15.
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PMID: 28148632BACKGROUNDValcarcel AM, Linn KA, Vandekar SN, Satterthwaite TD, Muschelli J, Calabresi PA, Pham DL, Martin ML, Shinohara RT. MIMoSA: An Automated Method for Intermodal Segmentation Analysis of Multiple Sclerosis Brain Lesions. J Neuroimaging. 2018 Jul;28(4):389-398. doi: 10.1111/jon.12506. Epub 2018 Mar 8.
PMID: 29516669BACKGROUNDShinohara RT, Sweeney EM, Goldsmith J, Shiee N, Mateen FJ, Calabresi PA, Jarso S, Pham DL, Reich DS, Crainiceanu CM; Australian Imaging Biomarkers Lifestyle Flagship Study of Ageing; Alzheimer's Disease Neuroimaging Initiative. Statistical normalization techniques for magnetic resonance imaging. Neuroimage Clin. 2014 Aug 15;6:9-19. doi: 10.1016/j.nicl.2014.08.008. eCollection 2014.
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PMID: 31415884BACKGROUNDKerbrat A, Aubert-Broche B, Fonov V, Narayanan S, Sled JG, Arnold DA, Banwell B, Collins DL. Reduced head and brain size for age and disproportionately smaller thalami in child-onset MS. Neurology. 2012 Jan 17;78(3):194-201. doi: 10.1212/WNL.0b013e318240799a. Epub 2012 Jan 4.
PMID: 22218275BACKGROUNDBrenton JN, Koshiya H, Engel CE, Herrod S, Engelhard M, Goldman MD. Utility of Physical Disability Outcome Measures in Pediatric-Onset Multiples Sclerosis. American Academy of Neurology. 2017.
BACKGROUNDBrenton JN, Koshiya H, Woolbright E, Goldman MD. The Multiple Sclerosis Functional Composite and Symbol Digit Modalities Test as outcome measures in pediatric multiple sclerosis. Mult Scler J Exp Transl Clin. 2019 Apr 29;5(2):2055217319846141. doi: 10.1177/2055217319846141. eCollection 2019 Apr-Jun.
PMID: 31065380BACKGROUNDBrenton JN, Woolbright E, Koshiya H, Engelhard M, Goldman MD. Continuous accelerometry as a measure of physical activity impairment in paediatric-onset multiple sclerosis subjects versus healthy controls. ECTRIMS Online Library. 2017
BACKGROUNDKeyhanian K, Saxena S, Gombolay G, Healy BC, Misra M, Chitnis T. Adipokines are associated with pediatric multiple sclerosis risk and course. Mult Scler Relat Disord. 2019 Nov;36:101384. doi: 10.1016/j.msard.2019.101384. Epub 2019 Sep 5.
PMID: 31550559BACKGROUNDCastro K, Ntranos A, Amatruda M, Petracca M, Kosa P, Chen EY, Morstein J, Trauner D, Watson CT, Kiebish MA, Bielekova B, Inglese M, Katz Sand I, Casaccia P. Body Mass Index in Multiple Sclerosis modulates ceramide-induced DNA methylation and disease course. EBioMedicine. 2019 May;43:392-410. doi: 10.1016/j.ebiom.2019.03.087. Epub 2019 Apr 10.
PMID: 30981648BACKGROUNDStampanoni Bassi M, Iezzi E, Buttari F, Gilio L, Simonelli I, Carbone F, Micillo T, De Rosa V, Sica F, Furlan R, Finardi A, Fantozzi R, Storto M, Bellantonio P, Pirollo P, Di Lemme S, Musella A, Mandolesi G, Centonze D, Matarese G. Obesity worsens central inflammation and disability in multiple sclerosis. Mult Scler. 2020 Sep;26(10):1237-1246. doi: 10.1177/1352458519853473. Epub 2019 Jun 4.
PMID: 31161863BACKGROUND
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Study Officials
- PRINCIPAL INVESTIGATOR
J Nicholas Brenton, MD
University of Virginia
Study Design
- Study Type
- observational
- Observational Model
- CASE CONTROL
- Time Perspective
- CROSS SECTIONAL
- Sponsor Type
- OTHER
- Responsible Party
- PRINCIPAL INVESTIGATOR
- PI Title
- Assistant Professor of Neurology and Pediatrics
Study Record Dates
First Submitted
October 16, 2020
First Posted
October 19, 2020
Study Start
June 3, 2021
Primary Completion
May 21, 2026
Study Completion (Estimated)
June 1, 2027
Last Updated
April 29, 2026
Record last verified: 2026-04