MRI phenotypes in MS: Longitudinal changes and miRNA signatures

Neurology. Neuroimmunology and Neuroinflammation
Christopher C HemondRohit Bakshi

Abstract

To classify and immunologically characterize persons with MS based on brain lesions and atrophy and their associated microRNA profiles. Cerebral T2-hyperintense lesion volume (T2LV) and brain parenchymal fraction (BPF) were quantified and used to define MRI phenotypes as follows: type I: low T2LV, low atrophy; type II: high T2LV, low atrophy; type III: low T2LV, high atrophy; type IV: high T2LV, high atrophy, in a large cross-sectional cohort (n = 1,088) and a subset with 5-year lngitudinal follow-up (n = 153). Serum miRNAs were assessed on a third MS cohort with 2-year MRI phenotype stability (n = 98). One-third of the patients had lesion-atrophy dissociation (types II or III) in both the cross-sectional and longitudinal cohorts. At 5 years, all phenotypes had progressive atrophy (p < 0.001), disproportionally in type II (BPF -2.28%). Only type IV worsened in physical disability. Types I and II showed a 5-year MRI phenotype conversion rate of 33% and 46%, whereas III and IV had >90% stability. Type II switched primarily to IV (91%); type I switched primarily to II (47%) or III (37%). Baseline higher age (p = 0.006) and lower BPF (p < 0.001) predicted 5-year phenotype conversion. Each MRI phenotype demonstrated an miRNA signatu...Continue Reading

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Citations

Jan 23, 2020·Multiple Sclerosis : Clinical and Laboratory Research·Marcin P Mycko, Sergio E Baranzini
Jan 30, 2020·Journal of Neuroimaging : Official Journal of the American Society of Neuroimaging·Rohit BakshiUNKNOWN SUMMIT consortium
Nov 13, 2019·Multiple Sclerosis : Clinical and Laboratory Research·Jonathan ZurawskiRohit Bakshi
Feb 26, 2019·Neurology. Neuroimmunology and Neuroinflammation·Josep Dalmau
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Software Mentioned

STATA
miRPath
NormFinder
R
DIANA miRPath

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