4.6 Article

Neurofilament light chain serum levels correlate with 10-year MRI outcomes in multiple sclerosis

期刊

ANNALS OF CLINICAL AND TRANSLATIONAL NEUROLOGY
卷 5, 期 12, 页码 1478-1491

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WILEY
DOI: 10.1002/acn3.638

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资金

  1. Novartis
  2. Swiss National Research Foundation [320030_160221]
  3. U.S. Department of Defense [MS170140]
  4. National MS Society
  5. Merck Serono
  6. Nancy Davis Center Without Walls

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Objective To assess the value of annual serum neurofilament light (NfL) measures in predicting 10-year clinical and MRI outcomes in multiple sclerosis (MS). Methods We identified patients in our center's Comprehensive Longitudinal Investigations in MS at Brigham and Women's Hospital (CLIMB) study enrolled within 5 years of disease onset, and with annual blood samples up to 10 years (n = 122). Serum NfL was measured using a single molecule array (SIMOA) assay. An automated pipeline quantified brain T2 hyperintense lesion volume (T2LV) and brain parenchymal fraction (BPF) from year 10 high-resolution 3T MRI scans. Correlations between averaged annual NfL and 10-year clinical/MRI outcomes were assessed using Spearman's correlation, univariate, and multivariate linear regression models. Results Averaged annual NfL values were negatively associated with year 10 BPF, which included averaged year 1-5 NfL values (unadjusted P < 0.01; adjusted analysis P < 0.01), and averaged values through year 10. Linear regression analyses of averaged annual NfL values showed multiple associations with T2LV, specifically averaged year 1-5 NfL (unadjusted P < 0.01; adjusted analysis P < 0.01). Approximately 15-20% of the BPF variance and T2LV could be predicted from early averaged annual NfL levels. Also, averaged annual NfL levels with fatigue score worsening between years 1 and 10 showed statistically significant associations. However, averaged NfL measurements were not associated with year 10 EDSS, SDMT or T25FW in this cohort. Interpretation Serum NfL measured during the first few years after the clinical onset of MS contributed to the prediction of 10-year MRI brain lesion load and atrophy.

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