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Clinical Trials/NCT06221631
NCT06221631
Recruiting
N/A

Brain Aging - a Comparative Study in Healthy and Patients With Multiple Sclerosis as Model of a Chronic Neuroinflammatory Disorder (BrainAgeMS)

Insel Gruppe AG, University Hospital Bern1 site in 1 country200 target enrollmentAugust 27, 2024

Overview

Phase
N/A
Intervention
Group 1: Healthy Controls
Conditions
Multiple Sclerosis
Sponsor
Insel Gruppe AG, University Hospital Bern
Enrollment
200
Locations
1
Primary Endpoint
Brain Age Gap in patients with MS
Status
Recruiting
Last Updated
2 months ago

Overview

Brief Summary

The purpose of this study is to investigate new quantitative MRI-sequences for assessment of age-specific data for the prediction of brain aging.

Detailed Description

After being informed about the study, healthy controls and patients with multiple sclerosis giving written informed consent will undergo blood examination (for determination of the biological age using the publicly available R-package algorithm BioAge), clinical examination (for motor, cognitive and psychological parameters) as well as an MRI-investigation with chemical exchange saturation transfer (CEST) and T1-relaxometry on a 7 Tesla MRI. Data from the healthy controls will be used to set up a normative brain age data set, that could be used for example to train a model for brain age prediction.

Registry
clinicaltrials.gov
Start Date
August 27, 2024
End Date
October 1, 2028
Last Updated
2 months ago
Study Type
Observational
Sex
All

Investigators

Responsible Party
Principal Investigator
Principal Investigator

Alejandro León Betancourt

Medical Resident

Insel Gruppe AG, University Hospital Bern

Eligibility Criteria

Inclusion Criteria

  • Informed Consent signed by the subject
  • Group 1: Any healthy individual between 18 and 65 years of age
  • Group 2: Any individuals with any diagnosis of Multiple Sclerosis between 18 and 65 years of age and EDSS ≤6.0.

Exclusion Criteria

  • Group 1 and 2: Any other neurological disease except primary headaches: insufficient language skills in German or French; pregnancy, lactation, any contraindication for MRI (active implants, passive ferromagnetic implants, passive non-ferromagnetic metallic implants \>4cm in the region covered by the active RF coils, large tattoos inside a region covered by the active radiofrequency (RF) coils, claustrophobia or suspected/known non-compliance), smoking within the last 10 years prior recruitment, any other drug consumption except moderate alcohol intake (less than a standard drink containing 10 grams of alcohol per day) or use of medical cannabis, any previous head trauma (with known/suspected intracranial consequences), Body Mass Index (BMI) \>30, and any other chronic progressive disease.
  • Specific Criteria for group 1: The calculated biological age (BioAge R Package algorithm) differs by \> -8/+1 years from the chronological age. These patients will not be further invited for a study visit with clinical examination and MRI.
  • Specific Criteria for group 2: EDSS \> 6.0 as this impacts physical testing; clinical relapse within the last 6 months

Arms & Interventions

Group 1: Healthy Controls

Healthy individuals with a predefined healthy lifestyle (s. inclusion/exclusion criteria), without any progressive disease or any neurological disorder (aside from primary headaches)

Group 2: Patients with Multiple Sclerosis

Patients with MS with a similar healthy lifestyle (s. inclusion/exclusion criteria), who are able to walk without more than one-sided walking aid (max. EDSS of 6 points), no relapse activity in the last 6 months, without any other progressive disease or other neurological disorder (aside from primary headaches)

Outcomes

Primary Outcomes

Brain Age Gap in patients with MS

Time Frame: Up to 2 months after recruitment or finalization of MRI-visit, whichever came first.

Difference between estimated brain age and (A) biological as well as (B) chronological age.

Secondary Outcomes

  • Relationship of brain age gaps with disease severity(Up to 2 months after recruitment or finalization of MRI-visit, whichever came first.)
  • Relationship of brain age gaps with gait speed(Up to 2 months after recruitment or finalization of MRI-visit, whichever came first.)
  • Relationship of brain age gaps with quality of life(Up to 2 months after recruitment or finalization of MRI-visit, whichever came first.)
  • Relationship of brain age gaps with depression symptoms(Up to 2 months after recruitment or finalization of MRI-visit, whichever came first.)
  • Relationship of brain age gaps with upper extremity function(Up to 2 months after recruitment or finalization of MRI-visit, whichever came first.)
  • Relationship of brain age gaps with sitting-to-raise time(Up to 2 months after recruitment or finalization of MRI-visit, whichever came first.)
  • Relationship of brain age gaps with fatigue(Up to 2 months after recruitment or finalization of MRI-visit, whichever came first.)
  • Relationship of brain age gaps with cognitive symptoms(Up to 2 months after recruitment or finalization of MRI-visit, whichever came first.)

Study Sites (1)

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