CD25 regulatory T cells determine secondary but not primary remission in EAE: impact on long-term disease progression

Dagmar Gärtner1, Holger Hoff, Ulrike Gimsa

  • 1Molecular Immunology, Deutsches Rheuma-Forschungszentrum Berlin, Schumannstr. 21/22; 10117 Berlin, Germany.

Journal of Neuroimmunology
|December 20, 2005
PubMed

Insights

Regulatory T cells (Tregs) influence multiple sclerosis (MS) relapses. Depleting Tregs affects secondary remissions, suggesting early cellular composition predicts long-term MS disease progression.

Area of Science:

  • Neuroimmunology
  • Autoimmune diseases

Background:

  • Multiple sclerosis (MS) involves relapses and remissions, but underlying cellular mechanisms remain unclear.
  • Understanding the cells and processes driving MS progression is crucial for developing effective treatments.

Purpose of the Study:

  • To investigate the role of regulatory T cells (Tregs) and T lymphocytes in the central nervous system (CNS) during relapsing experimental autoimmune encephalomyelitis (R-EAE), an animal model for MS.
  • To determine if Treg cell depletion impacts disease remission and progression in R-EAE.

Main Methods:

  • Utilized the R-EAE animal model to study multiple sclerosis.
  • Identified CD4+CD25+ Treg cells expressing Foxp3 and CTLA-4, and T lymphocytes expressing surface CTLA-4 within the CNS.
  • Depleted Treg cells to assess their impact on disease remission and progression.

Main Results:

  • Treg cells and CTLA-4 expressing T lymphocytes were found in the CNS during R-EAE.
  • The first remission occurred even after Treg cell depletion, but subsequent remissions were abolished.
  • Autoantigen rechallenge during the acute phase showed an amplified cytokine response despite an unaltered first remission.

Conclusions:

  • The cellular composition within the CNS during the initial phase of MS significantly influences long-term disease trajectory.
  • Treg cells play a critical role in mediating secondary remissions in this MS model.
  • Early immune responses in MS may predict the severity and progression of the disease.