Dynamics and variability of transcriptomic dysregulation in congenital myotonic dystrophy during pediatric

Melissa A Hale1, Kameron Bates1, Marina Provenzano1

  • 1Department of Neurology, Virginia Commonwealth University, Richmond, VA 23298, USA.

Human Molecular Genetics
|October 12, 2022
PubMed

Insights

Congenital myotonic dystrophy type 1 (CDM) shows distinct muscle splicing patterns in children. Splicing abnormalities are severe in infants, improve in early childhood, and vary in adolescents, offering therapeutic insights.

Area of Science:

  • Genetics
  • Molecular Biology
  • Neuromuscular Disorders

Background:

  • Myotonic dystrophy type 1 (DM1) is a genetic disorder caused by CTG repeat expansions in the DMPK gene.
  • Congenital myotonic dystrophy (CDM) is the most severe form, with symptoms present at birth.
  • The role of alternative splicing (AS) dysregulation in pediatric CDM is not well understood.

Purpose of the Study:

  • To investigate global transcriptomic dysregulation in CDM skeletal muscle across pediatric development.
  • To determine if MBNL protein sequestration contributes to AS defects in CDM.
  • To identify potential therapeutic targets and biomarkers for CDM.

Main Methods:

  • RNA sequencing (RNA-seq) of 36 CDM skeletal muscle biopsies (2 weeks to 16 years).
  • Comparative analysis with 50 DM1 and control samples.
  • Estimation of intracellular MBNL concentrations based on splicing responses.

Main Results:

  • CDM exhibits a heterogeneous, MBNL-dependent mis-splicing signature despite shared genetic cause.
  • A triphasic pattern of AS dysregulation was observed: severe in infants, improving in early childhood, and variable in adolescents.
  • DMPK expression changes correlated with splicing severity during development.

Conclusions:

  • CDM muscle transcriptome dynamics are complex and change significantly during pediatric development.
  • Understanding these dynamics is crucial for developing targeted therapeutic strategies and identifying optimal intervention timing.
  • Splicing patterns may serve as potential biomarkers for CDM progression and treatment response.

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