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Biomarker and diagnostic research for late-onset Steinert myotonic dystrophy has been reported in the published literature.
Estimated prevalence: Unknown (Unknown prevalence).
No clinical trials have been registered for late-onset Steinert myotonic dystrophy.
6 publications have been identified in PubMed for late-onset Steinert myotonic dystrophy. Research spans Review / Meta-Analysis (83%) and Diagnostic / Biomarker (17%).
Landi E (2026). [PMID: 41285302](https://pubmed.ncbi.nlm.nih.gov/41285302/). *Prog Retin Eye Res*. [Review / Meta-Analysis]
Glaubitz S (2026). [PMID: 41678169](https://pubmed.ncbi.nlm.nih.gov/41678169/). *Clin Exp Rheumatol*. [Diagnostic / Biomarker]
Perez PG (2025). [PMID: 41037177](https://pubmed.ncbi.nlm.nih.gov/41037177/). *Continuum (Minneap Minn)*. [Review / Meta-Analysis]
Rimoldi M (2025). [PMID: 39643839](https://pubmed.ncbi.nlm.nih.gov/39643839/). *Neurol Sci*. [Review / Meta-Analysis]
Winblad S (2024). [PMID: 38778932](https://pubmed.ncbi.nlm.nih.gov/38778932/). *Heliyon*. [Review / Meta-Analysis]
Salort-Campana E (2024). [PMID: 39017649](https://pubmed.ncbi.nlm.nih.gov/39017649/). *Curr Opin Neurol*. [Review / Meta-Analysis]
Data assembled from 3 of 12 sources · Last updated Sep 19, 2026, 11:55 AM UTC
European rare disease database
Genetic and Rare Diseases Info Center
AI-curated news mentioning late-onset Steinert myotonic dystrophy
Updated Aug 1, 2026
A proof-of-concept study demonstrates that 3D radiomic texture analysis of quantitative muscle MRI can effectively differentiate between myotonic dystrophy type 1 and Charcot-Marie-Tooth neuropathy type 1A. This advancement may enhance diagnostic accuracy for these conditions.
A study published on PubMed examines the genotype-phenotype relationship in 131 Chinese patients with myotonic dystrophy type 1. The findings contribute to understanding the variability in clinical manifestations of this rare disease.
REGENXBIO, Novartis, and Dyne are approaching FDA submissions for treatments targeting muscular dystrophies, specifically Duchenne muscular dystrophy and myotonic dystrophy type 1. This regulatory progress highlights significant advancements in the pipeline for these rare diseases.
A recent study evaluates ChatGPT's effectiveness in addressing inquiries from patients with myotonic dystrophy type 1. The findings may inform future applications of AI in patient communication and support.
PepGen's lead candidate for myotonic dystrophy type 1 showed marginal efficacy in a Phase 2 trial, only slightly outperforming placebo in correcting gene splicing. The company attributed the disappointing results to an outlier, leading to a significant drop in share price.