Expression profiling identifies responder and non-responder phenotypes to interferon-β in multiple sclerosis

S. Stürzebecher, K. P. Wandinger, A. Rosenwald, M. Sathyamoorthy, A. Tzou, P. Mattar, J. A. Frank, L. Staudt, R. Martin, H. F. McFarland

Research output: Contribution to journalArticlepeer-review

Abstract

Autoimmune diseases such as multiple sclerosis are characterized by complex genetic traits and pathomechanisms that translate into clinical heterogeneity. This wide heterogeneity of multiple sclerosis as well as different biological responses to immunomodulatory drugs can be expected to contribute to differential treatment responses. Strategies that dissect the relationship between the treatment response and the biological characteristics in individual patients are valuable not only as a clinical tool, but also in leading to a better understanding of the disease. Here we address the in vitro and ex vivo RNA expression profile under one approved therapy of multiple sclerosis, interferon-β (IFN-β, Betaseron), by cDNA microarrays and demonstrate that non-responder and responder phenotypes to IFN-β as assessed by longitudinal gadolinium-enhanced MRI scans and clinical disease activity differ in their ex vivo gene expression profile. These findings will help to better elucidate the mechanism of action of IFN-β in relation to different disease patterns and eventually lead to optimized therapy.

Original languageEnglish (US)
Pages (from-to)1419-1429
Number of pages11
JournalBrain
Volume126
Issue number6
DOIs
StatePublished - Jun 1 2003
Externally publishedYes

Keywords

  • cDNA microarrays
  • Expression profile
  • Interferon-β
  • Multiple sclerosis

ASJC Scopus subject areas

  • Neuroscience(all)

Fingerprint Dive into the research topics of 'Expression profiling identifies responder and non-responder phenotypes to interferon-β in multiple sclerosis'. Together they form a unique fingerprint.

Cite this