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Updated: Aug 7, 2026

High-throughput Quantitative Real-time RT-PCR Assay for Determining Expression Profiles of Types I and III Interferon Subtypes
Published on: March 24, 2015
[Interferon -beta therapy in multiple sclerosis]
1Department of Bioinformatics and Neuroinformatics, Meiji Pharmaceutical University.
Abstract:
Multiple sclerosis (MS) is an inflammatory demyelinating disease of the central nervous system (CNS) white matter mediated by an autoimmune process, whose development is triggered by a complex interplay of multiple genetic and environmental factors. Interferon-beta (IFNbeta) substantially reduces clinical exacerbation and MRI disease activity in MS, possibly by inhibiting the antigen-presenting capacity, by reversing a Th1 shift of the immune response, and by suppressing the transmigration of autoreactive T cells into the CNS. However, it has become evident that a significant number of MS patients do not well respond to IFNbeta and experience adverse effects. Using a DNA microarray, we have recently identified a battery of IFN-responsive genes (IRG) in peripheral blood lymphocytes, which play a key role in biological effects of IFNbeta in MS. They include IRF-7, a positive feedback regulator of IFNbeta production, IFI30 and TAP1, a key component of the antigen-presentation machinery, and TNFAIP6, a secreted protein with antiinflammatory activities. Furthermore, IFNbeta promptly induces proinflammatory chemokines and cytokines responsible for adverse effects in MS. Hierarchical clustering analysis of T cell gene expression profile discriminates four molecularly distinct subgroups of MS, associated with differential disease activity and therapeutic response to IFNbeta. A panel of IRG are upregulated persistently in IFNbeta responders but not in nonresponders after treatment. These observations suggest that DNA microarray analysis is valuable for designing and optimizing personalized treatment of MS.
Insights
Multiple sclerosis (MS) treatment with interferon-beta (IFNbeta) effectiveness varies. Identifying IFN-responsive genes (IRG) using DNA microarrays may personalize MS therapy by predicting patient response.
Area of Science:
- Neuroimmunology
- Genomics
Context:
- Multiple sclerosis (MS) is an autoimmune CNS demyelinating disease influenced by genetic and environmental factors.
- Interferon-beta (IFNbeta) therapy reduces MS activity but lacks efficacy in some patients.
- Adverse effects and non-response necessitate alternative therapeutic strategies.
Purpose:
- To identify IFN-responsive genes (IRG) in peripheral blood lymphocytes.
- To explore the role of IRG in IFNbeta's biological effects and adverse reactions in MS.
- To investigate gene expression profiles for distinct MS subgroups and predict therapeutic response.
Summary:
- DNA microarray analysis identified key IRG, including IRF-7, IFI30, TAP1, and TNFAIP6, involved in IFNbeta's mechanisms in MS.
- IFNbeta induces both beneficial and detrimental immune responses, influencing MS disease activity.
- Hierarchical clustering revealed four MS subgroups with differential gene expression, disease activity, and IFNbeta response.
Impact:
- A panel of IRG consistently upregulated in IFNbeta responders suggests their utility as biomarkers.
- DNA microarray analysis holds promise for optimizing personalized MS treatment strategies.
- Understanding IRG profiles can guide the development of targeted therapies for non-responding MS patients.
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