Study of Immune-Based Biomarkers Using the Longitudinal CLIMB Dataset

Abstract

During this period, we have evaluated proteomic biomarkers and their associations with relapses and/or new gadolinium enhancing lesions (GD+) and 10-year outcomes in MS patients. We have specifically identified that serum neurofilament light chain (sNFL) is elevated within a 3-month window of new GD+ MRI lesions, which informs the frequency at which this biomarker may be surveyed in the clinical setting. We have also found that at a relapse or GD+ lesion that sNFL decreases with increasing age, with the opposite in remission samples. We have screened over 1100 other proteins and have identified a multivariate proteomic signature that more strongly associates with GD+ lesions than serum NFL alone. We have found that serum NFL levels within the first 3-5 years after disease onset strongly correlate with10-year brain atrophy and deep grey matter volumes including thalamic volumes. These findings can inform the uses of sNFL and a multivariate proteomic biomarkers in clinical MS settings.

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 2019
Accession Number
AD1095476

Entities

People

  • Tanuja Chitnis

Tags

DTIC Thesaurus Topics

  • Autoimmune Diseases
  • Biological Sciences
  • Computational Science
  • Data Analysis
  • Data Mining
  • Data Science
  • Databases
  • Demyelinating Diseases
  • Electronic Mail
  • Health Services
  • Information Processing
  • Information Science
  • Machine Learning
  • Medical Personnel
  • Predictive Modeling
  • Statistical Analysis
  • Supervised Machine Learning

Fields of Study

  • Medicine

Readers

  • Gulf War Illness and Chronic Multisymptom Illness in Veterans.
  • Medical Imaging.
  • Neuroscience

Technology Areas

  • Biotechnology