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Scientific Reports

Publication date: 2021-01-15
Volume: 11
Publisher: Nature Portfolio

Author:

Smets, Ide
Goris, An ; Vandebergh, Marijne ; Demeestere, Jelle ; Sunaert, Stefan ; Dupont, Patrick ; Dubois, Benedicte

Keywords:

Science & Technology, Multidisciplinary Sciences, Science & Technology - Other Topics, MAGNETIZATION-TRANSFER RATIO, FOLLOW-UP, MATTER PATHOLOGY, IMMUNE-SYSTEM, TISSUE-DAMAGE, GENETIC RISK, DISABILITY, AGE, REMYELINATION, ASSOCIATION, Adult, Aged, Biological Variation, Individual, Brain, Cerebral Cortex, Cohort Studies, Cross-Sectional Studies, Female, Gray Matter, Humans, Longitudinal Studies, Magnetic Resonance Imaging, Male, Middle Aged, Multiple Sclerosis, Phenotype, White Matter

Abstract:

Magnetization transfer ratio (MTR) and brain volumetric imaging are (semi-)quantitative MRI markers capturing demyelination, axonal degeneration and/or inflammation. However, factors shaping variation in these traits are largely unknown. In this study, we collected a longitudinal cohort of 33 multiple sclerosis (MS) patients and extended it cross-sectionally to 213. We measured MTR in lesions, normal-appearing white matter (NAWM), normal-appearing grey matter (NAGM) and total brain, grey matter, white matter and lesion volume. We also calculated the polygenic MS risk score. Longitudinally, inter-patient differences at inclusion and intra-patient changes during follow-up together explained > 70% of variance in MRI, with inter-patient differences at inclusion being the predominant source of variance. Cross-sectionally, we observed a moderate correlation of MTR between NAGM and NAWM and, less pronounced, with lesions. Age and gender explained about 30% of variance in total brain and grey matter volume. However, they contributed less than 10% to variance in MTR measures. There were no significant associations between MRI traits and the genetic risk score. In conclusion, (semi-)quantitative MRI traits change with ongoing disease activity but this change is modest in comparison to pre-existing inter-patient differences. These traits reflect individual variation in biological processes, which appear different from those involved in genetic MS susceptibility.