Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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TERMINATED
7 participants
OBSERVATIONAL
2020-01-06
2020-04-01
Brief Summary
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Detailed Description
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Eligible study subjects expressing interest will be given a copy of the consent to review and will have the opportunity to ask questions. If the subject passes screening, they will be invited for their research visit. Signed consent form at the visit will be obtained before any study related procedures take place.
Baseline Measurements: Measurements for all subjects will include age, race/ethnicity, sex, weight, height, waist circumference, blood pressure. Relevant medical history, current medications, and family history diabetes will be reviewed and documented by both subject report and medical records. If the subject is a woman of child-bearing ability, urine pregnancy test will be done in order to exclude pregnant subjects. All subjects will then have an IV placed and have blood drawn to measure their fasting blood glucose level. Fasting blood glucose above 126 ug/dl would be a screen failure for this study.
Labs: The following labs will be drawn for all subjects.
* Blood glucose management (hemoglobin A1C, insulin-like growth factor, insulin) - these tests show how your body manages sugar
* Lipids \& Metabolic Markers (fasting lipid profile, leptin, adiponectin) - these measure signal proteins in your blood for metabolism
* Cytokine profile - to assess impact of blood sugar and inflammatory factors (molecules that may indicate how well your immune system works) on recovery from your MS relapse
* Sodium level - to assess how your body uses water
* Vitamin D25 - measures amount of vitamin D in your body
* Neuro-filament light measurement - marker of neurodegeneration
Oral Glucose Tolerance Test: After baseline measurements and labs are obtained, subjects will drink a 75g glucose drink. Labs (blood glucose and insulin levels) will be drawn every 30 minutes for a total of 2 hours.
In between blood draws, the subjects will undergo functional testing and complete questionnaires. A neurological exam will also be done that includes 8 functional systems: pyramidal, cerebellar, sensory, brainstem, vision, bowel and bladder, mental, and ambulation.
Cognitive testing will include the single Digit Modalities Test (SDMT) which is a timed test measuring thinking speed associating numbers and symbols as well as the cogstate which is a computer based assessment that tests cognitive levels.In addition, all subjects will undergo the sloan Low Contrast Vision testing (LCVA) which assesses your ability to see letters at different contrast levels.
Subjects will complete questionnaires that will ask about their fatigue level, daily activities, sleep habits, and how they are feeling physically, emotionally, and mentally.
At the end of the visit subjects will be discharged to home with an ActiGraph GT3X+ accelerometer, a waist-worn device, to measure community-based ambulation (a measure of physical activity). Subjects will complete 7 days of wear-time and will return accelerometers by mail.
This study only requires one visit to the University of Virginia and will take approximately 3 hours.
Conditions
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Study Design
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COHORT
PROSPECTIVE
Eligibility Criteria
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Inclusion Criteria
* Diagnosis of Clinically Isolated Syndrome (CIS) or Relapsing Remitting Multiple Sclerosis (RRMS) confirmed by McDonald 2010 criteria
* EDSS \< 6.5 at time of visit
Exclusion Criteria
* use of glucose regulating medications
* fasting blood glucose of \> 126 mg/dl
* known cardiac or respiratory disease
* morbid obesity (BMI \>40)
* steroid exposure within 4 weeks of enrollment
* pregnancy or current use of hormone replacement therapy
18 Years
59 Years
ALL
No
Sponsors
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University of Virginia
OTHER
Responsible Party
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J. Nicholas Brenton, MD
Principal Investigator
Locations
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University of Virginia
Charlottesville, Virginia, United States
Countries
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Other Identifiers
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21791
Identifier Type: -
Identifier Source: org_study_id
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