Potential of a unique antibody gene signature to predict conversion to clinically definite multiple sclerosis

Elizabeth M. Cameron, Sade Spencer, Jonathan Lazarini, Christopher T. Harp, E. Sally Ward, Mark Burgoon, Gregory P. Owens, Michael K. Racke, Jeffrey L. Bennett, Elliot M. Frohman, Nancy L. Monson

Research output: Contribution to journalArticlepeer-review

41 Scopus citations

Abstract

We identified a unique antibody gene mutation pattern (i.e. "signature") in cerebrospinal fluid (CSF) B cells from multiple sclerosis (MS) patients not present in control populations. Prevalence of the signature in CSF B cells of patients at risk to develop MS predicted conversion to MS with 91% accuracy in a small cohort of clinically isolated syndrome patients. If confirmed, signature prevalence would be a novel genetic diagnostic tool candidate for patients with early demyelinating disease of the central nervous system.

Original languageEnglish (US)
Pages (from-to)123-130
Number of pages8
JournalJournal of Neuroimmunology
Volume213
Issue number1-2
DOIs
StatePublished - Aug 18 2009
Externally publishedYes

Bibliographical note

Funding Information:
This study was supported by grants from the National Institutes of Health (NIH) to NLM (RO1 NS 40993) and MKR (RO1 NS 37513, RO1 AI 47133, and K24 NS 44250), the National Multiple Sclerosis Society (NMSS) to NLM (RG3267) and JLB (RG3908), the Yellow Rose Foundation (NLM and MKR), the Wadsworth Foundation (to NLM) and Howson funds (to NLM). EMC and CH were supported by NIH NRSA5 T32 AI 005284-28 from NIAID. The authors have no conflicting financial interests.

Keywords

  • Antibodies
  • B lymphocytes
  • Gene rearrangement
  • Multiple sclerosis
  • Mutational signature

Fingerprint

Dive into the research topics of 'Potential of a unique antibody gene signature to predict conversion to clinically definite multiple sclerosis'. Together they form a unique fingerprint.

Cite this