4.3 Article

Modulation of the central memory and Tr1-like regulatory T cells in multiple sclerosis patients responsive to interferon-beta therapy

期刊

MULTIPLE SCLEROSIS JOURNAL
卷 18, 期 6, 页码 788-798

出版社

SAGE PUBLICATIONS LTD
DOI: 10.1177/1352458511427720

关键词

CD46; interferon-beta; interleukin-10; multiple sclerosis; MxA; regulatory T cells

资金

  1. Fondazione Sipec
  2. Fondazione Berlucchi, Brescia

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Background: Interferon-beta is used to reduce disease activity in multiple sclerosis, but its action is incompletely understood, individual treatment response varies among patients, and biological markers predicting clinical benefits have yet to be identified. Since it is known that multiple sclerosis patients have a deficit of the regulatory T-cell subsets, we investigated whether interferon-beta therapy induced modifications of the two main categories of regulatory T cells (Tregs), natural and IL-10-secreting inducible Tr1 subset, in patients who are biologically responsive to the therapy. Methods: T-cell phenotype was determined by flow cytometry, while real-time PCR was used to evaluate interferon-beta bioactivity through MxA determination, and to measure the RNA for IL-10 and CD46 molecule in peripheral blood mononuclear cells stimulated with anti-CD46 and anti-CD3 monoclonal antibodies, which are known to expand a Tr1-like population. Results: Interferon-beta induced a redistribution of natural Treg subsets with a shift of naive Tregs towards the 'central memory-like' Treg population that expresses the CCR7 molecule required for the in vivo suppressive activity. Furthermore, in a subgroup of treated patients, the CD46/CD3 co-stimulation, probably through the Tr1-like subset modulation, increased the production of RNA for IL-10 and CD46. The same group showed a lower median EDSS score after two years of therapy. Conclusions: The selective increase of 'central memory-like' subset and the involvement of the Tr1-like population may be two of the mechanisms by which interferon-beta achieves its beneficial effects. The quantification of RNA for IL-10 and CD46 could be used to identify patients with a different response to interferon-beta therapy.

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