Electroretinogram abnormalities in FKRP-related limb-girdle muscular dystrophy (LGMDR9)

Joshua L Hagedorn1,2, Taylor M Dunn2,3, Sajag Bhattarai2

  • 1University of Iowa Carver College of Medicine, Iowa City, USA.

Abstract

Insights

Electroretinogram (ERG) testing in Limb-Girdle Muscular Dystrophy type R9 (LGMDR9) revealed abnormal ON/OFF bipolar cell responses and a unique sawtooth pattern in flicker ERG. These findings may serve as potential biomarkers for LGMDR9, aiding in clinical trial development.

Area of Science:

  • Ophthalmology
  • Neurology
  • Genetics

Background:

  • Dystroglycanopathies are a group of muscular dystrophies affecting the cell membrane.
  • Limb-Girdle Muscular Dystrophy type R9 (LGMDR9) is a dystroglycanopathy caused by mutations in the FKRP gene.
  • Previous research on electroretinogram (ERG) findings has focused on mouse models, with limited human data available for LGMDR9.

Purpose of the Study:

  • To characterize the electroretinogram (ERG) findings in human participants diagnosed with LGMDR9.
  • To investigate potential visual biomarkers associated with LGMDR9.

Main Methods:

  • Eight participants with confirmed LGMDR9 were recruited from a natural history study.
  • Full-field electroretinograms (FF-ERG) were performed according to International Society for Clinical Electrophysiology of Vision (ISCEV) standards.
  • Light-adapted ON/OFF testing was conducted on six participants, and results were compared to age-matched controls.

Main Results:

  • No electronegative ERG patterns were observed in LGMDR9 participants.
  • A distinctive sawtooth pattern in the 30 Hz flicker ERG was present in all eight participants.
  • Significant reductions in b-wave amplitude (light-adapted ON responses and 3.0 testing), d-wave amplitude (light-adapted OFF responses), and flicker ERG amplitudes were noted.
  • Decreased a-wave amplitudes were observed in dark-adapted 10 testing compared to controls.

Conclusions:

  • Abnormal ON/OFF bipolar cell responses and sawtooth 30 Hz flicker waveforms on FF-ERG may be specific indicators for LGMDR9.
  • These ERG findings show potential as biomarkers for LGMDR9.
  • Further validation in larger populations and correlation with disease stage could establish these ERG tests as valuable endpoints for LGMDR9 clinical trials.

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