NCT04593082

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

75
On Track

Trial Health Score

Automated assessment based on enrollment pace, timeline, and geographic reach

Enrollment
116

participants targeted

Target at P50-P75 for all trials

Timeline
12mo left

Started Jun 2021

Longer than P75 for all trials

Geographic Reach
1 country

2 active sites

Status
active not recruiting

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

Study Progress83%
Jun 2021Jun 2027

First Submitted

Initial submission to the registry

October 16, 2020

Completed
3 days until next milestone

First Posted

Study publicly available on registry

October 19, 2020

Completed
8 months until next milestone

Study Start

First participant enrolled

June 3, 2021

Completed
5 years until next milestone

Primary Completion

Last participant's last visit for primary outcome

May 21, 2026

Completed
1 year until next milestone

Study Completion

Last participant's last visit for all outcomes

June 1, 2027

Expected
Last Updated

April 29, 2026

Status Verified

April 1, 2026

Enrollment Period

5 years

First QC Date

October 16, 2020

Last Update Submit

April 27, 2026

Conditions

Keywords

PediatricObesityNeurodegenerationInflammation

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

Age10 Years - 20 Years
Sexall
Healthy VolunteersYes
Age GroupsChild (0-17), Adult (18-64)
Sampling MethodNon-Probability Sample
Study Population

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

Study Sites (2)

Children's Hospital of Philadelphia

Philadelphia, Pennsylvania, 19104, United States

Location

University of Virginia

Charlottesville, Virginia, 22903, United States

Location

Related Publications (20)

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    PMID: 25891547BACKGROUND
  • Woolbright 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.

    BACKGROUND
  • Brenton JN, Woolbright E, Briscoe-Abath C, Qureshi A, Conaway M, Goldman MD. Body mass index trajectories in pediatric multiple sclerosis. Dev Med Child Neurol. 2019 Nov;61(11):1289-1294. doi: 10.1111/dmcn.14233. Epub 2019 Apr 5.

    PMID: 30950520BACKGROUND
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    PMID: 6685237BACKGROUND
  • Centers for Disease Control. Healthy Weight. In. Vol 20162015

    BACKGROUND
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    PMID: 28512753BACKGROUND
  • Chitnis T, Gonzalez C, Healy BC, Saxena S, Rosso M, Barro C, Michalak Z, Paul A, Kivisakk P, Diaz-Cruz C, Sattarnezhad N, Pierre IV, Glanz BI, Tomic D, Kropshofer H, Haring D, Leppert D, Kappos L, Bakshi R, Weiner HL, Kuhle J. Neurofilament light chain serum levels correlate with 10-year MRI outcomes in multiple sclerosis. Ann Clin Transl Neurol. 2018 Oct 16;5(12):1478-1491. doi: 10.1002/acn3.638. eCollection 2018 Dec.

    PMID: 30564615BACKGROUND
  • Barro C, Benkert P, Disanto G, Tsagkas C, Amann M, Naegelin Y, Leppert D, Gobbi C, Granziera C, Yaldizli O, Michalak Z, Wuerfel J, Kappos L, Parmar K, Kuhle J. Serum neurofilament as a predictor of disease worsening and brain and spinal cord atrophy in multiple sclerosis. Brain. 2018 Aug 1;141(8):2382-2391. doi: 10.1093/brain/awy154.

    PMID: 29860296BACKGROUND
  • Siller 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.

    PMID: 29542376BACKGROUND
  • Kuhle J, Nourbakhsh B, Grant D, Morant S, Barro C, Yaldizli O, Pelletier D, Giovannoni G, Waubant E, Gnanapavan S. Serum neurofilament is associated with progression of brain atrophy and disability in early MS. Neurology. 2017 Feb 28;88(9):826-831. doi: 10.1212/WNL.0000000000003653. Epub 2017 Feb 1.

    PMID: 28148632BACKGROUND
  • Valcarcel 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: 29516669BACKGROUND
  • Shinohara 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.

    PMID: 25379412BACKGROUND
  • Hagler DJ Jr, Hatton S, Cornejo MD, Makowski C, Fair DA, Dick AS, Sutherland MT, Casey BJ, Barch DM, Harms MP, Watts R, Bjork JM, Garavan HP, Hilmer L, Pung CJ, Sicat CS, Kuperman J, Bartsch H, Xue F, Heitzeg MM, Laird AR, Trinh TT, Gonzalez R, Tapert SF, Riedel MC, Squeglia LM, Hyde LW, Rosenberg MD, Earl EA, Howlett KD, Baker FC, Soules M, Diaz J, de Leon OR, Thompson WK, Neale MC, Herting M, Sowell ER, Alvarez RP, Hawes SW, Sanchez M, Bodurka J, Breslin FJ, Morris AS, Paulus MP, Simmons WK, Polimeni JR, van der Kouwe A, Nencka AS, Gray KM, Pierpaoli C, Matochik JA, Noronha A, Aklin WM, Conway K, Glantz M, Hoffman E, Little R, Lopez M, Pariyadath V, Weiss SR, Wolff-Hughes DL, DelCarmen-Wiggins R, Feldstein Ewing SW, Miranda-Dominguez O, Nagel BJ, Perrone AJ, Sturgeon DT, Goldstone A, Pfefferbaum A, Pohl KM, Prouty D, Uban K, Bookheimer SY, Dapretto M, Galvan A, Bagot K, Giedd J, Infante MA, Jacobus J, Patrick K, Shilling PD, Desikan R, Li Y, Sugrue L, Banich MT, Friedman N, Hewitt JK, Hopfer C, Sakai J, Tanabe J, Cottler LB, Nixon SJ, Chang L, Cloak C, Ernst T, Reeves G, Kennedy DN, Heeringa S, Peltier S, Schulenberg J, Sripada C, Zucker RA, Iacono WG, Luciana M, Calabro FJ, Clark DB, Lewis DA, Luna B, Schirda C, Brima T, Foxe JJ, Freedman EG, Mruzek DW, Mason MJ, Huber R, McGlade E, Prescot A, Renshaw PF, Yurgelun-Todd DA, Allgaier NA, Dumas JA, Ivanova M, Potter A, Florsheim P, Larson C, Lisdahl K, Charness ME, Fuemmeler B, Hettema JM, Maes HH, Steinberg J, Anokhin AP, Glaser P, Heath AC, Madden PA, Baskin-Sommers A, Constable RT, Grant SJ, Dowling GJ, Brown SA, Jernigan TL, Dale AM. Image processing and analysis methods for the Adolescent Brain Cognitive Development Study. Neuroimage. 2019 Nov 15;202:116091. doi: 10.1016/j.neuroimage.2019.116091. Epub 2019 Aug 12.

    PMID: 31415884BACKGROUND
  • Kerbrat 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: 22218275BACKGROUND
  • Brenton 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.

    BACKGROUND
  • Brenton 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: 31065380BACKGROUND
  • Brenton 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

    BACKGROUND
  • Keyhanian 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: 31550559BACKGROUND
  • Castro 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: 30981648BACKGROUND
  • Stampanoni 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

Multiple SclerosisObesityNerve DegenerationInflammation

Condition Hierarchy (Ancestors)

Demyelinating Autoimmune Diseases, CNSAutoimmune Diseases of the Nervous SystemNervous System DiseasesDemyelinating DiseasesAutoimmune DiseasesImmune System DiseasesOverweightOvernutritionNutrition DisordersNutritional and Metabolic DiseasesBody WeightSigns and SymptomsPathological Conditions, Signs and SymptomsPathologic Processes

Study Officials

  • J Nicholas Brenton, MD

    University of Virginia

    PRINCIPAL INVESTIGATOR

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

Locations