June 2022
Volume 63, Issue 7
Open Access
ARVO Annual Meeting Abstract  |   June 2022
Characterization of visual deficits in B cell-dependent experimental autoimmune encephalomyelitis: an improved mouse model of multiple sclerosis?
Author Affiliations & Notes
  • Sandrine Joly
    Universite Laval Faculte de medecine, Quebec, Quebec, Canada
    Ophthalmology, Inselspital Universitatsspital Bern, Bern, Bern, Switzerland
  • Julius Baya Mdzomba
    Universite Laval Faculte de medecine, Quebec, Quebec, Canada
    Inselspital Universitatsspital Bern Universitatsklinik fur Neurologie, Bern, Bern, Switzerland
  • Lea Rodriguez
    Universite Laval Faculte de medecine, Quebec, Quebec, Canada
  • Françoise Morin
    Neuroscience Unit, University Hospital Center of Quebec, Universite Laval, Quebec, Quebec, Canada
  • Luc Vallières
    Neuroscience Unit, University Hospital Center of Quebec, Universite Laval, Quebec, Quebec, Canada
  • Vincent Pernet
    Universite Laval Faculte de medecine, Quebec, Quebec, Canada
    Inselspital Universitatsspital Bern Universitatsklinik fur Neurologie, Bern, Bern, Switzerland
  • Footnotes
    Commercial Relationships   Sandrine Joly None; Julius Mdzomba None; Lea Rodriguez None; Françoise Morin None; Luc Vallières None; Vincent Pernet None
  • Footnotes
    Support  This work was supported by grants to VP from the Fonds de recherche du Québec-Santé and the Canadian Institutes of Health Research (CIHR), and to LV from the CIHR and Multiple Sclerosis Society of Canada.
Investigative Ophthalmology & Visual Science June 2022, Vol.63, 940 – A0409. doi:
  • Views
  • Share
  • Tools
    • Alerts
      ×
      This feature is available to authenticated users only.
      Sign In or Create an Account ×
    • Get Citation

      Sandrine Joly, Julius Baya Mdzomba, Lea Rodriguez, Françoise Morin, Luc Vallières, Vincent Pernet; Characterization of visual deficits in B cell-dependent experimental autoimmune encephalomyelitis: an improved mouse model of multiple sclerosis?. Invest. Ophthalmol. Vis. Sci. 2022;63(7):940 – A0409.

      Download citation file:


      © ARVO (1962-2015); The Authors (2016-present)

      ×
  • Supplements
Abstract

Purpose : To study the visual impairments associated with multiple sclerosis (MS), experimental autoimmune encephalomyelitis (EAE) is a standard animal model induced by immunizing mice with myelin oligodendrocyte glycoprotein peptide (MOG35-55). However, this form of EAE idoes not involve B cells, in contrast to MS. The present study aimed to characterize the visual symptoms in a B cell-dependent EAE to better mimic human MS.

Methods : B cell-dependent EAE was induced with an antigen called bMOG. After the induction of EAE with bMOG in C57BL/6J male mice, changes in visual function were followed by electroretinography and optomotor acuity tests. Motor deficits were monitored in parallel with a standard clinical scoring method. Retinal neuron survival, gliosis, microglia activation, optic nerve demyelination and opsin expression were examined by histological and Western blot analyses. Gene expression changes were determined by RNA sequencing.

Results : bMOG EAE mice showed persistent loss of visual acuity. In contrast, the electroretinogram (ERG) and the motor function spontaneously recovered after deficits culminating in the inflammatory disease phase. Visual acuity loss was associated with retinal inflammation, gliosis and synaptic impairments, as suggested by histological observations and transcriptomic results. Interestingly, chromatic ERG recordings revealed significant alterations in the M-cone pathway.

Conclusions : The visual changes induced by bMOG in mice present similarities to those reported in multiple sclerosis and neuromyelitis optica. Therefore, bMOG EAE offers a new model to test experimental treatments for MS in the visual system.

This abstract was presented at the 2022 ARVO Annual Meeting, held in Denver, CO, May 1-4, 2022, and virtually.

×
×

This PDF is available to Subscribers Only

Sign in or purchase a subscription to access this content. ×

You must be signed into an individual account to use this feature.

×