Gut Microbiota Changes in Experimental Autoimmune Encephalomyelitis and Cuprizone Mice Models

Laura Moles1, Ander Egimendia2, Iñaki Osorio-Querejeta1

  • 1Multiple Sclerosis Group, Neuroscience Area, Biodonostia Research Institute, San Sebastian 20014, Spain.

ACS Chemical Neuroscience
|February 10, 2021
PubMed

Insights

Gut microbiota changes were observed in mouse models of multiple sclerosis (MS). These microbial shifts correlate with demyelination and mimic alterations seen in MS patients, offering insights into disease mechanisms.

Area of Science:

  • Neuroimmunology
  • Microbiome Research

Background:

  • Multiple sclerosis (MS) is a CNS neurodegenerative disease involving immune-mediated demyelination.
  • Alterations in gut microbiota are increasingly linked to MS, but the direct connection to demyelination remains unclear.

Purpose of the Study:

  • To characterize microbial dysbiosis in murine models of demyelination.
  • To correlate gut microbiota changes with disease progression in these models.
  • To assess the models' suitability for predicting microbial changes in MS patients.

Main Methods:

  • Induction of experimental autoimmune encephalomyelitis (EAE) and cuprizone (CPZ) models in C57BL/6 mice.
  • Monitoring disease progression (4 weeks for EAE, 9 weeks for CPZ).
  • Fecal sample collection, motor skill evaluation (EAE scale), and demyelination assessment (MRI).

Main Results:

  • Both EAE and CPZ models exhibited significant microbial alterations correlating with disease progression.
  • These observed microbial changes largely mirrored the dysbiosis characteristics found in MS patients.
  • Animal models provide a controlled environment to study host-microbiota interactions in demyelination.

Conclusions:

  • Murine demyelination models demonstrate significant gut microbiota changes that correlate with disease progression.
  • These models effectively replicate key microbial dysbiosis features observed in multiple sclerosis patients.
  • Understanding these host-microbiota interactions in controlled settings can inform future therapeutic strategies for MS.

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