Differential pathology and susceptibility to MBNL loss across muscles in myotonic dystrophy mouse models

Mackenzie L Davenport1,2,3,4, Amaya Fong1,2,3, Gloria Montoya-Vazquez1,2,3

  • 1Department of Molecular Genetics and Microbiology.

JCI Insight
|August 14, 2025
PubMed

Insights

Myotonic dystrophy subtypes DM1 and DM2 involve muscles differently. MBNL protein loss in mice models shows fiber atrophy similar to DM1, suggesting MBNL loss is key in DM1 muscle effects.

Area of Science:

  • Molecular Biology
  • Genetics
  • Neuromuscular Disorders

Background:

  • Myotonic dystrophy (DM) comprises DM1 and DM2, caused by repeat expansion mutations.
  • A primary mechanism involves RNA toxicity, sequestering muscleblind-like (MBNL) proteins.
  • Distinct muscle involvement and histopathology patterns exist between DM1 and DM2, with underlying causes unknown.

Purpose of the Study:

  • To investigate the differential impact of MBNL loss on muscle pathology.
  • To determine if MBNL loss explains muscle susceptibility patterns in DM1 and DM2.
  • To assess the utility of Mbnl knockout mouse models in recapitulating DM-specific muscle features.

Main Methods:

  • Analysis of a human muscle transcriptomic atlas to examine disease-relevant gene expression.
  • Histological and molecular evaluation of muscles from Mbnl knockout mice.
  • Comparison of observed pathology with known DM1 and DM2 muscle characteristics.

Main Results:

  • MBNL loss leads to discordant muscle effects, suggesting a splicing-independent mechanism.
  • The resulting fiber atrophy profile in Mbnl knockout mice more closely resembles DM1 than DM2.
  • Human muscle data revealed differential gene expression patterns relevant to DM pathology.

Conclusions:

  • MBNL loss plays a significant role in the muscle involvement patterns observed in DM1.
  • Additional pathogenic mechanisms beyond MBNL sequestration likely contribute to DM2.
  • Findings impact the selection of muscles for analysis in DM mouse models and the evaluation of therapies.

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