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Article
Autoantibodies as Diagnostic Biomarkers for the Detection and Subtyping of Multiple Sclerosis
Journal of Neuroimmunology
  • Cassandra DeMarshall, Rowan University
  • Eric Goldwaser, Rowan University
  • Abhirup Sarkar, Rowan University
  • George Godsey, Rowan University
  • Nimish Acharya, Rowan University
  • Umashanger Thayasivam, Rowan University
  • Benjamin Belinka, Durin Technologies
  • Robert Nagele, Rowan University
Document Type
Article
Version Deposited
Published Version
Publication Date
8-15-2017
DOI
10.1016/j.jneuroim.2017.05.010
Abstract

The goal of this preliminary proof-of-concept study was to use human protein microarrays to identify blood-based autoantibody biomarkers capable of diagnosing multiple sclerosis (MS). Using sera from 112 subjects, including 51 MS subjects, autoantibody biomarkers effectively differentiated MS subjects from age- and gender-matched normal and breast cancer controls with 95.0% and 100% overall accuracy, but not from subjects with Parkinson's disease. Autoantibody biomarkers were also useful in distinguishing subjects with the relapsing-remitting form of MS from those with the secondary progressive subtype. These results demonstrate that autoantibodies can be used as noninvasive blood-based biomarkers for the detection and subtyping of MS

Creative Commons License
Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International
Citation Information

DeMarshall C, Goldwaser EL, Sarkar A, Godsey GA, Acharya NK, Thayasivam U, Belinka BA, Nagele RG. Autoantibodies as Diagnostic Biomarkers for the Detection and Subtyping of Multiple Sclerosis. J Neuroimmunol. 2017 Aug 15;309:51-57. Epub 2017 May 19. doi: 10.1016/j.jneuroim.2017.05.010. PMID: 28601288.