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Quantitative MRI phenotypes capture biological heterogeneity in multiple sclerosis patients
Quantitative MRI phenotypes capture biological heterogeneity in multiple sclerosis patients
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Quantitative MRI phenotypes capture biological heterogeneity in multiple sclerosis patients
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Quantitative MRI phenotypes capture biological heterogeneity in multiple sclerosis patients
Quantitative MRI phenotypes capture biological heterogeneity in multiple sclerosis patients

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Quantitative MRI phenotypes capture biological heterogeneity in multiple sclerosis patients
Quantitative MRI phenotypes capture biological heterogeneity in multiple sclerosis patients
Journal Article

Quantitative MRI phenotypes capture biological heterogeneity in multiple sclerosis patients

2021
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Overview
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.