Evidence map›Paper›PMID 42643735›Full record

Observational studyFrontiers in neurology2026

BrainAgeMS: protocol for a prospective comparative study of brain aging in healthy adults and people with multiple sclerosis.

Sebastián Navarrete, Milena Capiglioni, Stefanie Marti, Lukas Pirpamer, Richard McKinley, Robert Hoepner, Alejandro León Betancourt, Piotr Radojewski

Registry-linked trialAbstract readComparative StudyObservational Study
PubMed Full text at PMC Publisher
In one paragraph

Observational study in Frontiers in neurology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06221631 (Brain Aging - a Comparative Study in Healthy and Patients With Multiple Sclerosis as Model of a Chronic Neuroinflammatory Disorder), which is not on this map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

NCT06221631 recruitingnot on this map

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

TypeobservationalSponsorInsel Gruppe AG, University Hospital BernRan2024 to 2028Enrolled200ConditionsMultiple Sclerosis
3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Sebastián NavarreteFaculty of Engineering, Universidad de Concepción, Concepción, Chile.
Milena CapiglioniSupport Center for Advanced Neuroimaging, Institute for Diagnostic and Interventional Neuroradiology, University of Bern, Bern, Switzerland.
Stefanie MartiDepartment of Neurology, Inselspital, Bern University Hospital and University of Bern, Bern, Switzerland.
Lukas PirpamerSupport Center for Advanced Neuroimaging, Institute for Diagnostic and Interventional Neuroradiology, University of Bern, Bern, Switzerland.
Richard McKinleySupport Center for Advanced Neuroimaging, Institute for Diagnostic and Interventional Neuroradiology, University of Bern, Bern, Switzerland.
Robert HoepnerDepartment of Neurology, Inselspital, Bern University Hospital and University of Bern, Bern, Switzerland.
Alejandro León BetancourtDepartment of Neurology, Inselspital, Bern University Hospital and University of Bern, Bern, Switzerland.
Piotr RadojewskiSupport Center for Advanced Neuroimaging, Institute for Diagnostic and Interventional Neuroradiology, University of Bern, Bern, Switzerland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Biological brain aging can diverge substantially from chronological aging, particularly in chronic neurological conditions like multiple sclerosis (MS), where neuroinflammatory and neurodegenerative processes may accelerate age-related brain changes. This study aims to determine whether multipool Chemical Exchange Saturation Transfer (CEST) and T1 relaxometry at 7 T can serve as biologically grounded imaging markers of brain age in healthy adults and people with MS (pwMS). BrainAgeMS (NCT06221631) is a prospective, single-center, cross-sectional comparative study recruiting 200 participants aged 18-65 years: 100 healthy controls (HC) and 100 pwMS. All participants undergo blood sampling for biological age determination using the PhenoAge algorithm, motor, cognitive, and psychological assessments, and 7 T MRI featuring multipool CEST and T1 relaxometry. A brain age prediction model trained on HC data will be applied to pwMS to derive a brain age gap. The primary outcomes are the two brain-age gaps in pwMS: the differences between estimated brain age and (i) chronological age and (ii) PhenoAge. Secondary outcomes include associations of these gaps with disability, cognition, fatigue, and quality of life. If validated, these quantitative MRI markers could complement existing tools for MS disease monitoring and serve as outcome measures for future brain health interventions. Clinical Trial Registration: https://clinicaltrials.gov/study/NCT06221631, identifier NCT06221631.

Indexed as

AgingBrainMultiple SclerosisAdolescentAdultAgedCross-Sectional StudiesFemaleHumansMagnetic Resonance ImagingMaleMiddle AgedProspective StudiesYoung Adult7 T MRIbrain agingchemical exchange saturation transfermultiple sclerosisneurodegenerationquantitative MRIT1 relaxometry

Identifiers

PMID42643735
PMCPMC13504802

What OpenQuestion holds

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Registered trials

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.