Paper
Document
Download
Flag content
0

Longitudinal Imaging Biomarkers Correlate with Progressive Motor Deficit in the Mouse Model of Charlevoix‐Saguenay Ataxia

0
TipTip
Save
Document
Download
Flag content

Abstract

Objective In autosomal recessive spastic ataxia of Charlevoix‐Saguenay (ARSACS) disease, severity and age of onset vary greatly, hindering to objectively measure and predict clinical progression. Thickening of the retinal nerve fiber layer is distinctive of ARSACS patients, as assessed by optical coherence tomography, whereas conventional brain magnetic resonance imaging findings include both supratentorial and infratentorial changes. Because longitudinal imaging studies in ARSACS patients are not available to define these changes as biomarkers of disease progression, we aimed to address this issue in the ARSACS mouse model. Methods We performed longitudinal retinal OCT and brain MRI in the Sacs −/− ARSACS mouse model, alongside motor and coordination assessment in the beam walking test. We also investigated visual function and the molecular mechanisms underlying RNFL increased thickness by histology and immunofluorescence. Results We demonstrated that RNFL thickening by OCT gradually increases in the early stages of pathology in the Sacs −/− mouse model, reflecting the progression of motor impairment, and later reaches a plateau when thinning of the posterior corpus callosum becomes detectable by MRI. Mechanistically, we unveiled that RNFL thickening is associated with aberrant accumulation of non‐phosphorylated neurofilament H and glial fibrillary acidic protein. We also uncovered mild signs of myelin pathology coherent with increased latency of visual evoked potentials, and altered retinal activation by photopic electroretinography. Interpretation We show that both RNFL thickening and MRI changes may represent biomarkers of disease progression in the Sacs −/− mouse model. Our data gathers knowledge instrumental to clinical studies, holding potential as readout for treatment efficacy. ANN NEUROL 2024

Paper PDF

Empty State
This PDF hasn't been uploaded yet.
Do not upload any copyrighted content to the site, only open-access content.
or