Correlation of Visual System Biomarkers With Motor Deficits in Experimental Autoimmune Encephalomyelitis-Optic Neuritis.


Journal

Translational vision science & technology
ISSN: 2164-2591
Titre abrégé: Transl Vis Sci Technol
Pays: United States
ID NLM: 101595919

Informations de publication

Date de publication:
01 Aug 2024
Historique:
medline: 1 8 2024
pubmed: 1 8 2024
entrez: 1 8 2024
Statut: ppublish

Résumé

Experimental autoimmune encephalomyelitis (EAE) scoring, the most commonly used primary outcome metric for an in vivo model of multiple sclerosis (MS), is highly variable and subjective. Here we explored the use of visual biomarkers in EAE as more objective and clinically relevant primary outcomes. Motor impairment in myelin oligodendrocyte glycoprotein-immunized C57BL/6J mice was quantified using a five-point EAE grading scale. Pattern electroretinography (pERG) and retinal ganglion cell/inner plexiform layer (RGC/IPL) complex thickness were measured 60 days after induction. Optic nerve histopathology was analyzed at endpoint. EAE mice displayed motor impairments ranging from mild to severe. Significant correlations were seen between pERG amplitude and last EAE score, mean EAE score, and cumulative EAE score. Optical coherence tomography (OCT) analysis demonstrated a significant correlation between thinning of the RGC/IPL complex and both EAE score and pERG amplitude. Optic nerve histopathology showed significant correlations between demyelination and cumulative EAE score, pERG amplitude, and RGC/IPL complex thickness, as well as between immune cell infiltration and cumulative EAE score, pERG amplitude, and RGC/IPL complex thickness in EAE mice. Unlike EAE scoring, pERG and OCT show direct measurement of retinal structure and function. Therefore we conclude that visual outcomes are well suited as a direct assessment of optic nerve involvement in this EAE model of MS while also being indicative of motor impairment. Standardizing directly translatable measurements as primary outcome parameters in the murine EAE model could lead to more rapid and relevant testing of new therapeutic approaches for mitigating MS.

Identifiants

pubmed: 39087931
pii: 2800633
doi: 10.1167/tvst.13.8.1
doi:

Substances chimiques

Biomarkers 0
Myelin-Oligodendrocyte Glycoprotein 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

1

Auteurs

Benjamin W Elwood (BW)

Department of Ophthalmology and Visual Sciences, University of Iowa, Iowa City, IA, USA.
Center for the Prevention and Treatment of Visual Loss, Iowa City Veterans Affairs Health Care System, Iowa City, IA, USA.

Cheyanne R Godwin (CR)

Department of Ophthalmology and Visual Sciences, University of Iowa, Iowa City, IA, USA.
Center for the Prevention and Treatment of Visual Loss, Iowa City Veterans Affairs Health Care System, Iowa City, IA, USA.

Jeffrey J Anders (JJ)

Department of Ophthalmology and Visual Sciences, University of Iowa, Iowa City, IA, USA.
Center for the Prevention and Treatment of Visual Loss, Iowa City Veterans Affairs Health Care System, Iowa City, IA, USA.
Department of Neuroscience and Pharmacology, University of Iowa, Iowa City, IA, USA.

Randy H Kardon (RH)

Department of Ophthalmology and Visual Sciences, University of Iowa, Iowa City, IA, USA.
Center for the Prevention and Treatment of Visual Loss, Iowa City Veterans Affairs Health Care System, Iowa City, IA, USA.

Oliver W Gramlich (OW)

Department of Ophthalmology and Visual Sciences, University of Iowa, Iowa City, IA, USA.
Center for the Prevention and Treatment of Visual Loss, Iowa City Veterans Affairs Health Care System, Iowa City, IA, USA.
Department of Neuroscience and Pharmacology, University of Iowa, Iowa City, IA, USA.

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Classifications MeSH