Multiple Sclerosis Clinical Trial
— DREAMOfficial title:
Identifying and Characterizing Preclinical MS
NCT number | NCT05787795 |
Other study ID # | 2000032952 |
Secondary ID | |
Status | Recruiting |
Phase | |
First received | |
Last updated | |
Start date | June 21, 2022 |
Est. completion date | June 30, 2033 |
The purpose of this research study is to try and identify risk factors and biologic changes that suggest that someone may go on to develop multiple sclerosis before a person has shown any symptoms of the disease.
Status | Recruiting |
Enrollment | 1000 |
Est. completion date | June 30, 2033 |
Est. primary completion date | June 30, 2032 |
Accepts healthy volunteers | Accepts Healthy Volunteers |
Gender | All |
Age group | 18 Years and older |
Eligibility | Inclusion Criteria: - Age 18+ - Having one or more risk factors for multiple sclerosis, including one or more of the below: - Individuals known to have a radiologically isolated syndrome - Individuals with a family history of multiple sclerosis (first degree family member) - Individuals with personal risk factors, which are known to include smoking, obesity, Epstein Barr virus infections, Vitamin D deficiency, genetic risk score Exclusion Criteria: - Currently pregnant - Diagnosis of multiple sclerosis or any ongoing, systemic autoimmune disease - Ongoing treatment with immunosuppressive medications |
Country | Name | City | State |
---|---|---|---|
United States | Yale University | North Haven | Connecticut |
Lead Sponsor | Collaborator |
---|---|
Yale University | Roche-Genentech |
United States,
Type | Measure | Description | Time frame | Safety issue |
---|---|---|---|---|
Primary | To build a machine learning model of risk prediction | to build a risk prediction model that estimates future risk of MS built using large datasets of biologic and clinical data collected during the study. | ongoing prospective study | |
Secondary | Individual data types collected | Microbiome data, immune phenotyping and functional analysis for blood, CSF, adipose tissue, measurement of other known and developing biomarkers of MS, patient reported health outcomes will be compiled to potentially identify early, systemic changes that are associated with a future risk of multiple sclerosis. | ongoing prospective study |
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