Autoantibodies as diagnostic biomarkers for the detection and subtyping of multiple sclerosis

Cassandra DeMarshall, Eric L. Goldwaser, Abhirup Sarkar, George A. Godsey, Nimish K. Acharya, Umashanger Thayasivam, Benjamin A. Belinka, Robert G. Nagele

Research output: Contribution to journalArticlepeer-review

18 Scopus citations

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.

Original languageEnglish (US)
Pages (from-to)51-57
Number of pages7
JournalJournal of Neuroimmunology
Volume309
DOIs
StatePublished - Aug 15 2017

All Science Journal Classification (ASJC) codes

  • Immunology and Allergy
  • Immunology
  • Neurology
  • Clinical Neurology

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