Understanding the Impact of Meal Timing on Neurological Health in Adults With Multiple Sclerosis
NCT07475377
Autoimmune Diseases, Autoimmune Diseases of the Nervous System
Birmingham, Alabama, United States
View Trial DetailsNCT Number: NCT01353547
The purpose of the research study is to identify the genetic, environmental and immune profiles that may increase a person's risk of developing multiple sclerosis (MS). While MS is not a disease caused by a single variation in genetic material (DNA), a single environmental factor, or a single malfunction in immune cells, there are genetic alterations, environmental exposures and immunologic factors that make the development of MS more likely. Obtaining information about who is at risk for MS will be beneficial in the future if the investigators can identify effective ways to prevent or slow down the progression of this disease.
Interested in participating?
Request Info18 year and older
All sexes
Observational
National Institute of Neurological Disorders and Stroke, Bethesda, Maryland, United States
MS is an autoimmune disease in which the immune system (white bloods cells that normally fight infection) becomes misdirected and attacks healthy tissue. In patients with MS, the misdirected white blood cells attack myelin, a lining that insulates the nerves found in the brain and spinal cord. This results in inflammation and damage in the myelin. Loss of this protective lining disrupts nerve impulses and causes abnormal function in the nervous system.
This large research study will ultimately enroll 5000 subjects who are at risk of developing MS.
Healthy volunteers accepted: Yes
Only the study team can determine whether someone qualifies for participation.
Inclusion criteria
Exclusion criteria
Time frame: 20 years
For each subject, weighted integrated risk score will be calculated, combining genetic burden and environmental exposure. A distribution of the risk score will be generated for the cohort. At this stage, the study will assess whether there is an increase in subjects with a diagnosis of MS (validated by a letter or copy of clinical records from the subject's neurologist) within the higher end vs. the lower end of the risk score distribution.
Interested in participating?
Request InfoColumbia University
Other
Integrating Genetic and Environmental Risk Scores Into an Algorithm to Predict Multiple Sclerosis Susceptibility
Acronym: GEMS
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