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Clinical Trial Details — Status: Not yet recruiting

Administrative data

NCT number NCT06221631
Other study ID # ethic number 2023-D0110
Secondary ID 10001315CIV-23-1
Status Not yet recruiting
Phase
First received
Last updated
Start date June 2024
Est. completion date March 2028

Study information

Verified date May 2024
Source Insel Gruppe AG, University Hospital Bern
Contact Alejandro X. León Betancourt, Dr.med.
Phone +41316326093
Email alejandro.betancourt@insel.ch
Is FDA regulated No
Health authority
Study type Observational

Clinical Trial 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.


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.


Recruitment information / eligibility

Status Not yet recruiting
Enrollment 200
Est. completion date March 2028
Est. primary completion date March 2028
Accepts healthy volunteers Accepts Healthy Volunteers
Gender All
Age group 18 Years to 65 Years
Eligibility 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 > +/- 3 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

Study Design


Related Conditions & MeSH terms


Locations

Country Name City State
Switzerland Inselspital Bern Bern

Sponsors (3)

Lead Sponsor Collaborator
Insel Gruppe AG, University Hospital Bern Schweizerische Multiple Sklerose Gesellschaft, University of Bern

Country where clinical trial is conducted

Switzerland, 

References & Publications (3)

Kwon D, Belsky DW. A toolkit for quantification of biological age from blood chemistry and organ function test data: BioAge. Geroscience. 2021 Dec;43(6):2795-2808. doi: 10.1007/s11357-021-00480-5. Epub 2021 Nov 2. — View Citation

Mennecke A, Khakzar KM, German A, Herz K, Fabian MS, Liebert A, Blumcke I, Kasper BS, Nagel AM, Laun FB, Schmidt M, Winkler J, Dorfler A, Zaiss M. 7 tricks for 7 T CEST: Improving the reproducibility of multipool evaluation provides insights into the effects of age and the early stages of Parkinson's disease. NMR Biomed. 2023 Jun;36(6):e4717. doi: 10.1002/nbm.4717. Epub 2022 Mar 17. — View Citation

Piredda GF, Caneschi S, Hilbert T, Bonanno G, Joseph A, Egger K, Peter J, Kloppel S, Jehli E, Grieder M, Slotboom J, Seiffge D, Goeldlin M, Hoepner R, Willems T, Vulliemoz S, Seeck M, Venkategowda PB, Corredor Jerez RA, Marechal B, Thiran JP, Wiest R, Kober T, Radojewski P. Submillimeter T1 atlas for subject-specific abnormality detection at 7T. Magn Reson Med. 2023 Apr;89(4):1601-1616. doi: 10.1002/mrm.29540. Epub 2022 Dec 7. — View Citation

Outcome

Type Measure Description Time frame Safety issue
Primary Brain Age Gap in patients with MS Difference between estimated brain age and (A) biological as well as (B) chronological age. Up to 2 months after recruitment or finalization of MRI-visit, whichever came first.
Secondary Relationship of brain age gaps with disease severity Relationship of brain age gaps with disease severity as measured by the expanded disability and severity scale (EDSS; min.-max. according to eligibility criteria: 0-6 points, with a higher score meaning a higher degree of disease severity) Up to 2 months after recruitment or finalization of MRI-visit, whichever came first.
Secondary Relationship of brain age gaps with gait speed Relationship of brain age gaps with gait speed as measured by the 25-foot walking test Up to 2 months after recruitment or finalization of MRI-visit, whichever came first.
Secondary Relationship of brain age gaps with upper extremity function Relationship of brain age gaps with upper extremity function as measured by the 9-hole Peg Test Up to 2 months after recruitment or finalization of MRI-visit, whichever came first.
Secondary Relationship of brain age gaps with sitting-to-raise time Relationship of brain age gaps with a raising test using the sitting-to-raise time Up to 2 months after recruitment or finalization of MRI-visit, whichever came first.
Secondary Relationship of brain age gaps with cognitive symptoms Relationship of brain age gaps with cognitive (brief international cognitive assessment in multiple sclerosis (BICAMS)) Up to 2 months after recruitment or finalization of MRI-visit, whichever came first.
Secondary Relationship of brain age gaps with depression symptoms Relationship of brain age gaps with depression symptoms as assessed with the brief depression inventory (BDI) Up to 2 months after recruitment or finalization of MRI-visit, whichever came first.
Secondary Relationship of brain age gaps with fatigue Relationship of brain age gaps with fatigue as assessed with the fatigue severity score (FSS) Up to 2 months after recruitment or finalization of MRI-visit, whichever came first.
Secondary Relationship of brain age gaps with quality of life Relationship of brain age gaps with experienced quality of life as assessed with the Multiple Sclerosis Impact Scale (MSIS)-29 Up to 2 months after recruitment or finalization of MRI-visit, whichever came first.
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