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Age dependence of clinical and pathological manifestations of autoimmune demyelination. Implications for multiple

M E Smith1, N L Eller, H F McFarland

  • 1Neuroimmunology Branch, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD 20892, USA. BS161v@nih.gov

Insights

Young mice show delayed clinical signs of experimental allergic encephalomyelitis (EAE), a multiple sclerosis (MS) model, suggesting age-related immune resistance. This resistance in developing mice offers insights into MS onset and progression.

Area of Science:

  • Neuroimmunology
  • Demyelinating Diseases
  • Developmental Immunology

Background:

  • Multiple sclerosis (MS) typically manifests in early adulthood, with rare childhood or adolescent onset.
  • Experimental allergic encephalomyelitis (EAE) in adult animals closely models MS but shows rapid onset, unlike MS's age-restricted clinical expression.

Purpose of the Study:

  • To investigate age-related resistance to clinical EAE using an adoptive transfer model in mice.
  • To understand how age influences the onset and severity of autoimmune demyelination.

Main Methods:

  • Adoptive transfer of myelin basic protein-sensitized cells into SJL mice of varying ages (10 days to 12 weeks).
  • Monitoring for clinical signs of EAE and examining central nervous system (CNS) pathology.
  • Assessing sex-based differences in disease susceptibility.

Main Results:

  • A variable delay in EAE onset was observed, with younger animals (<14 days) exhibiting the longest preclinical period.
  • Young animals eventually developed clinical EAE with a relapsing-remitting course, showing acute CNS lesions.
  • Females consistently showed increased susceptibility to EAE compared to males across all age groups.

Conclusions:

  • Developing mice demonstrate age-related resistance to clinical EAE, mirroring MS's clinical presentation.
  • Subclinical pathology and age-dependent immune function in young animals may explain delayed MS onset.
  • This model provides a platform to study factors influencing MS clinical expression and CNS inflammation correlation.

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