Myotonic Dystrophy Type 1

Myotonic Dystrophy Type 1 (DM1) — Disease Characteristics Research Report

2026-04-25
Falcon MONDO:0008056 Model: Edison Scientific Literature 36 citations

Myotonic Dystrophy Type 1 (DM1) — Disease Characteristics Research Report

Target disease: Myotonic dystrophy type 1 (DM1)
Category: Mendelian (repeat-expansion disorder)
MONDO: MONDO_0008056 (via Open Targets disease mapping) (berengercurrias2023pluripotentstemcells pages 1-2)

1. Disease Information

1.1 Concise overview

Myotonic dystrophy type 1 (DM1) is a progressive, multisystemic neuromuscular disorder characterized by myotonia and progressive muscle weakness, with frequent involvement of the heart (conduction disease/arrhythmias), eyes (cataracts), endocrine/metabolic systems (e.g., insulin resistance/diabetes), gastrointestinal function, and the central nervous system. DM1 is caused by an unstable CTG repeat expansion in the 3′ untranslated region (3′UTR) of the DMPK gene, and disease pathogenesis is largely driven by toxic expanded-repeat RNA that perturbs RNA-binding proteins and alternative splicing (“spliceopathy”). (hale2023dynamicsandvariability pages 1-2, almeida2023promisingaav.u7snrnasvectors pages 1-2, berengercurrias2023pluripotentstemcells pages 1-2, stoodley2023applicationofantisense pages 1-2)

Direct abstract quote (mechanism + overview): A 2023 Frontiers paper states: “DM1 is caused by a CTG repeat expansion in the 3′UTR region of the DMPK gene that sequesters muscleblind-like proteins, blocking their splicing activity and forming nuclear RNA foci. Consequently, many genes have their splicing reversed to a fetal pattern.” (Almeida et al., 2023-06, https://doi.org/10.3389/fcell.2023.1181040) (almeida2023promisingaav.u7snrnasvectors pages 1-2)

1.2 Key identifiers (and common names)

Table (click to expand)
Disease name Synonyms MONDO ID OMIM Orphanet MeSH ICD-10/ICD-11 Notes
Myotonic Dystrophy Type 1 (DM1) Steinert disease; Steinert’s myotonic dystrophy; myotonic dystrophy type I; MDI MONDO_0008056 160900 273 D009223 Not available from the provided evidence OMIM #160900 explicitly reported in peer-reviewed DM1 sources; Steinert/MDI naming used in epidemiology and review papers; MeSH D009223 reported in a DM1 registry record; Open Targets reports MONDO_0008056 and Orphanet_273 for DM1. URLs: https://doi.org/10.3389/fneur.2024.1493570 ; https://doi.org/10.1186/s13023-024-03114-z ; https://doi.org/10.1186/s13023-024-03114-z ; https://doi.org/10.3390/healthcare12080838 (abati2024cardiacriskand pages 1-2, berengercurrias2023pluripotentstemcells pages 1-2, hernaez2024prevalenceofsteinert’s pages 1-2, NCT06979024 chunk 1)

Table: This table summarizes the core identifiers and common alternative names for Myotonic Dystrophy Type 1. It is useful for harmonizing disease records across ontology, registry, and literature sources while noting that ICD codes were not established from the provided evidence.

Additional identifier evidence from recent literature: - OMIM: DM1 = #160900 (reported explicitly in multiple 2023–2024 sources) (abati2024cardiacriskand pages 1-2, berengercurrias2023pluripotentstemcells pages 1-2) - Orphanet concept: “Steinert myotonic dystrophy” (Open Targets reports Orphanet_273 mapping) (berengercurrias2023pluripotentstemcells pages 1-2)

ICD-10/ICD-11: Not established from the provided evidence; would require an ICD browser or coding guidance not retrieved in this tool run.

1.3 Synonyms and alternative names

Commonly used synonyms in recent sources include: - Steinert disease / Steinert’s myotonic dystrophy (hernaez2024prevalenceofsteinert’s pages 1-2, berengercurrias2023pluripotentstemcells pages 1-2) - Myotonic dystrophy type I / MDI (hernaez2024prevalenceofsteinert’s pages 1-2)

1.4 Evidence sources: individual vs aggregated

DM1 knowledge in this report is derived from: - Aggregated disease-level resources/registries: Madrid rare disease registry (SIERMA) used for population estimates (2010–2017) (hernaez2024prevalenceofsteinert’s pages 1-2); China DM1 patient registry (ClinicalTrials.gov observational cohort) (NCT06979024 chunk 1) - Cohort-based clinical genetics studies: multicenter Chinese cohort (n=211) (zhong2024clinicalfeaturesand pages 1-2) - Mechanistic disease modeling studies: patient-derived myoblasts, iPSC/hPSC models, and mouse models (almeida2023promisingaav.u7snrnasvectors pages 1-2, berengercurrias2023pluripotentstemcells pages 1-2, stoodley2023applicationofantisense pages 8-9)

2. Etiology

2.1 Disease causal factors

Primary cause: Germline CTG trinucleotide repeat expansion in the DMPK gene 3′UTR (autosomal dominant). (hale2023dynamicsandvariability pages 1-2, almeida2023promisingaav.u7snrnasvectors pages 1-2, berengercurrias2023pluripotentstemcells pages 1-2, stoodley2023applicationofantisense pages 1-2)

Repeat-size categories (clinical correlation; indicative, not absolute): - Healthy alleles: ~5–37 CTGs (almeida2023promisingaav.u7snrnasvectors pages 1-2, stoodley2023applicationofantisense pages 1-2) - Premutation: ~38–49 CTGs (almeida2023promisingaav.u7snrnasvectors pages 1-2) - Symptomatic: typically >50 CTGs, with larger expansions associated with earlier onset and more severe phenotypes, including congenital forms that can exceed 1,000 CTGs. (almeida2023promisingaav.u7snrnasvectors pages 1-2, berengercurrias2023pluripotentstemcells pages 1-2, stoodley2023applicationofantisense pages 1-2)

2.2 Risk factors

Genetic risk factors - Repeat length and instability: CTG repeat length correlates with phenotype severity and age of onset, complicated by somatic instability (repeat length varies by tissue/age). (stoodley2023applicationofantisense pages 1-2, ionova2024thestudyof pages 1-2) - Anticipation: Intergenerational repeat expansion contributes to earlier onset and increased severity in successive generations, with congenital disease often associated with large maternal expansions. (hale2023dynamicsandvariability pages 1-2, ionova2024thestudyof pages 1-2)

Non-genetic modifiers and clinical risk factors - Cardiopulmonary complications are major determinants of morbidity/mortality; surveillance and early interventions are emphasized in care recommendations and clinical management sources. (ricci2024assessmentofthe pages 17-20, abati2024cardiacriskand pages 1-2)

2.3 Protective factors / modifier factors

Protective “factors” in DM1 primarily refer to genetic modifiers that mitigate repeat instability or molecular toxicity.

  • Interrupted/variant repeat tracts and epigenetic context: A Mexican reference cohort reported interrupted CTG repeat tracts in 2.8% of carriers and associated these interruptions with milder phenotypes and reduced instability (cohort details in excerpt). (cerecedozapata2025fifteenyearsof pages 15-16)
  • Epigenetic variability (methylation) at the DM1 locus: DMPK expanded alleles are flanked by CpG islands; variant repeats may influence methylation patterns and phenotypic variability (summarized in recent molecular work). (ionova2024thestudyof pages 1-2)

2.4 Gene–environment interactions

No robust, specific gene–environment interaction mechanisms were directly established from the retrieved evidence. However, dietary context can exacerbate metabolic pathology in model systems (see Mechanisms/Pathophysiology). (stoodley2023applicationofantisense pages 1-2)

3. Phenotypes

3.1 Core phenotype spectrum (multisystem)

Adult/classical DM1 commonly includes: - Myotonia and progressive distal muscle weakness (hale2023dynamicsandvariability pages 1-2, stoodley2023applicationofantisense pages 1-2) - Cardiac conduction defects/arrhythmias (hale2023dynamicsandvariability pages 1-2, abati2024cardiacriskand pages 1-2) - Early cataracts (hale2023dynamicsandvariability pages 1-2) - CNS impairment (cognitive/behavioral) (hale2023dynamicsandvariability pages 1-2, berengercurrias2023pluripotentstemcells pages 1-2)

Congenital DM1 (CDM) can present at birth with: - Neonatal hypotonia, respiratory failure, feeding difficulty, and congenital features (e.g., clubfoot), with motor improvement in early childhood reported in natural history. (hale2023dynamicsandvariability pages 1-2)

3.2 Quantitative phenotype frequencies and statistics (prioritize 2024)

Large multicenter Chinese Han DM1 cohort (genetically confirmed n=211; detailed phenotyping n=64; enrollment 2020–2023) reported: (Zhong et al., 2024-03, Orphanet J Rare Dis, https://doi.org/10.1186/s13023-024-03114-z) - In the detailed cohort, muscle weakness 92.2%, myotonia 85.9%, fatigue 73.4% (zhong2024clinicalfeaturesand pages 1-2) - Daytime sleepiness 70.3%; dysphagia 43.8%; cognitive impairment 25%; intermittent insomnia 28.1%; dyspnea 23.4%; diabetes 17.2%; tumors 4.7% (zhong2024clinicalfeaturesand pages 1-2) - Supportive interventions/markers: cataract surgery 14.1%, wheelchair use 7.8%, ventilatory support 4.7%, gastric tube 1.6% (zhong2024clinicalfeaturesand pages 1-2) - Mean ESS 10.50 (SD 6.18) and mean FSS 42.02 (SD 15.01) (zhong2024clinicalfeaturesand pages 5-7)

A cropped table of the Zhong et al. cohort summarizing frequencies across CTG strata was retrieved (Table 1) (zhong2024clinicalfeaturesand media 408fef39).

Pediatric (congenital/childhood onset) sleep/behavior cohort (Italy; n=46) reported: - Daytime sleepiness/disrupted sleep in 30% of children (CDM and ChDM), with associations to autism traits, executive function, and disease burden measures. (Trucco et al., 2024-09, https://doi.org/10.3390/jcm13185459) (hernaez2024prevalenceofsteinert’s pages 1-2)

3.3 Quality-of-life and functional impact

DM1 is associated with reduced physical activity and aerobic capacity, contributing to adverse body composition.

A prospective case-control study (n=15 DM1 vs 15 matched controls) found: - Total energy expenditure 23% lower in DM1; steps/day 63% lower (median 3090 vs 8283 steps/24 h); and reduced VO2peak (22 vs 33 mL/min/kg). (Joosten et al., 2023-05, J Neuromuscul Dis, https://doi.org/10.3233/JND-230036) (hernaez2024prevalenceofsteinert’s pages 1-2)

3.4 Suggested HPO terms (examples; non-exhaustive)

(These HPO IDs are standard ontology mappings; specific HPO IDs were not enumerated in the retrieved papers and should be validated against the HPO browser when integrating into a KB.)

4. Genetic/Molecular Information

4.1 Causal gene

Open Targets disease-target associations identify DMPK as the top associated target and report DM1 locus antisense RNA (DM1-AS) as another association in the locus context (mapping evidence). (berengercurrias2023pluripotentstemcells pages 1-2)

4.2 Pathogenic variant class

Somatic mosaicism/instability: A major complexity in DM1 is that repeat lengths expand over time and differ by tissue (somatic instability), complicating genotype–phenotype correlations. (ionova2024thestudyof pages 1-2)

4.3 Modifier genes and molecular modifiers

4.4 Epigenetics

Epigenetic variability at CpG islands flanking the expansion has been implicated as a contributor to phenotypic variability, particularly in the context of variant repeat interruptions and parental origin effects. (ionova2024thestudyof pages 1-2)

5. Environmental Information

No infectious etiologies apply.

Environmental/lifestyle factors are not causal, but lifestyle may influence secondary metabolic phenotypes. For example, a liver-specific DM1 mouse model showed that high-fat/high-sugar diets exacerbate lipid accumulation and susceptibility to MAFLD-like phenotypes in the context of CUGexp RNA toxicity. (Dewald et al., 2024-10, Nat Commun, https://doi.org/10.1038/s41467-024-53378-z) (stoodley2023applicationofantisense pages 1-2)

6. Mechanism / Pathophysiology

6.1 Current mechanistic model (key concepts and definitions)

RNA toxicity / RNA gain-of-function model: The expanded DMPK allele is transcribed, producing expanded CUG repeat RNA that forms nuclear foci and sequesters MBNL proteins, leading to depletion of functional MBNL in the nucleoplasm and widespread defects in alternative splicing. (hale2023dynamicsandvariability pages 1-2, almeida2023promisingaav.u7snrnasvectors pages 1-2, stoodley2023applicationofantisense pages 1-2)

CELF1 dysregulation: Stress signaling pathways can increase CELF1 activity, and an MBNL/CELF1 imbalance drives persistent fetal splicing patterns across hundreds of transcripts. (berengercurrias2023pluripotentstemcells pages 1-2, stoodley2023applicationofantisense pages 1-2)

Direct abstract quote (pathogenic chain): “DM1 is caused by a CTG repeat expansion in the 3′UTR region of the DMPK gene that sequesters muscleblind-like proteins… forming nuclear RNA foci… [and] splicing [is] reversed to a fetal pattern.” (Almeida et al., 2023-06, https://doi.org/10.3389/fcell.2023.1181040) (almeida2023promisingaav.u7snrnasvectors pages 1-2)

6.2 Downstream pathways and tissue-specific consequences

Spliceopathy targets with clinical relevance: Mis-spliced transcripts include CLCN1 (myotonia), SCN5A (cardiac conduction), BIN1, and INSR (metabolic phenotype), among others. (hale2023dynamicsandvariability pages 1-2, stoodley2023applicationofantisense pages 1-2)

Developmental dynamics (congenital DM1): RNA-seq of congenital DM1 skeletal muscle across pediatric development showed an MBNL-dependent mis-splicing signature with a triphasic pattern: severe mis-splicing in infancy, improvement in early childhood, and variability in adolescence. (Hale et al., 2023-10, https://doi.org/10.1093/hmg/ddac254) (hale2023dynamicsandvariability pages 1-2)

6.3 Suggested GO biological processes (examples)

  • Alternative mRNA splicing via spliceosome → GO:0000380
  • mRNA processing → GO:0006397
  • Regulation of RNA splicing → GO:0043484
  • Muscle contraction (downstream functional impairment) → GO:0006936

6.4 Suggested CL cell types (examples)

  • Skeletal muscle myoblast / myotube → CL:0000056 (myoblast; verify exact CL term usage)
  • Cardiomyocyte → CL:0000746
  • Motor neuron (CNS involvement) → CL:0000100

(As with HPO, CL/GO IDs should be validated in ontology browsers; the mechanistic linkage is supported by DM1 literature cited above.)

7. Anatomical Structures Affected

Primary/commonly affected systems: - Skeletal muscle (UBERON:0001134) (almeida2023promisingaav.u7snrnasvectors pages 1-2, stoodley2023applicationofantisense pages 1-2) - Heart (UBERON:0000948) including conduction system (abati2024cardiacriskand pages 1-2) - Brain/CNS (UBERON:0000955) (hale2023dynamicsandvariability pages 1-2, berengercurrias2023pluripotentstemcells pages 1-2) - Eye lens (UBERON:0000962) — cataracts (hale2023dynamicsandvariability pages 1-2) - Respiratory system (UBERON:0001004) — respiratory insufficiency/failure (hale2023dynamicsandvariability pages 1-2, ricci2024assessmentofthe pages 17-20)

Subcellular localization (core lesion): nuclear RNA foci (nucleus; GO CC:0005634) and RNA-binding protein sequestration. (almeida2023promisingaav.u7snrnasvectors pages 1-2, stoodley2023applicationofantisense pages 1-2)

8. Temporal Development

8.1 Onset

DM1 spans congenital, childhood/juvenile, and adult-onset forms; congenital DM1 can present at birth and is often linked to large intergenerational expansions. (hale2023dynamicsandvariability pages 1-2, ionova2024thestudyof pages 1-2)

In congenital DM1, hallmark adult features can be absent early, and early-life symptoms include neonatal hypotonia and respiratory failure. (hale2023dynamicsandvariability pages 1-2)

8.2 Progression

DM1 is typically progressive across neuromuscular and systemic domains. The congenital DM1 transcriptome/spliceopathy can show dynamic changes across pediatric development, suggesting time windows for intervention/biomarkers. (hale2023dynamicsandvariability pages 1-2)

9. Inheritance and Population

9.1 Inheritance

9.2 Epidemiology (recent data)

Recent studies show considerable geographic variation: - Global/Europe estimates: ~1 in 8,000 cited in mechanistic and clinical sources (almeida2023promisingaav.u7snrnasvectors pages 1-2, abati2024cardiacriskand pages 1-2) - Community of Madrid (Spain) population registry: 14.4 per 100,000 (2010–2017; n=1101; mean age 47.8; 49.1% women). (Hernáez et al., 2024-04, https://doi.org/10.3390/healthcare12080838) (hernaez2024prevalenceofsteinert’s pages 1-2) - North Ossetia-Alania families study: prevalence 14.17 per 100,000 (Ossetians) and 18.74 per 100,000 (Ingush); anticipation and correlation of CTG length with onset/severity; higher maternal transmission frequency. (Ionova et al., 2024-09, https://doi.org/10.3390/ijms25179734) (ionova2024thestudyof pages 1-2) - Chinese multicenter cohort: minimal prevalence estimate 0.13/100,000 in the authors’ ascertainment context; cohort suggests possible underdiagnosis or population differences. (zhong2024clinicalfeaturesand pages 2-5)

10. Diagnostics

10.1 Clinical and electrophysiologic testing

10.2 Genetic testing (repeat expansion testing)

Core diagnostic test: detection of CTG repeat expansion at the DMPK locus.

  • Zhong et al. used TP-PCR and flanking PCR to size peak CTG repeats (range 92–1945) and diagnose DM1. (zhong2024clinicalfeaturesand pages 2-5)
  • Registry study notes genotyping can use triplet-primed PCR or long-read sequencing, with DM1 confirmation as CTG repeats >50. (NCT06979024 chunk 1)

Emerging diagnostics (long-read): Repeat expansion disorders increasingly use long-read sequencing for repeat length, composition, mosaicism, and methylation assessment; the DM1 testing landscape is moving in that direction (general diagnostic perspective; not DM1-only). (berengercurrias2023pluripotentstemcells pages 1-2)

10.3 Imaging and biomarkers

Cardiac imaging biomarker candidate: In a small retrospective cohort, DM1 patients had higher cardiac extracellular volume (ECV) on CMR (a fibrosis-associated metric), suggesting CMR ECV as a marker of subclinical cardiac involvement. (Abati et al., 2024-11, https://doi.org/10.3389/fneur.2024.1493570) (abati2024cardiacriskand pages 1-2)

10.4 Differential diagnosis

Not enumerated in the retrieved evidence; clinically, DM2 (CNBP CCTG expansion) is a principal genetic differential (noted in review/imaging context). (abati2024cardiacriskand pages 1-2)

11. Outcome / Prognosis

Major causes of morbidity/mortality: cardiopulmonary complications. - Cardiac dysrhythmias and conduction disease are prominent; one recent review-style paper notes dysrhythmias can be implicated in a large fraction of patients and are a leading cause of mortality, second to respiratory failure. (abati2024cardiacriskand pages 1-2, ricci2024assessmentofthe pages 17-20)

A recent synthesis cites median survival around 59–60 years, with respiratory failure and adverse cardiac events as leading causes of death. (misquitta2024investigatingthetherapeutic pages 9-13)

12. Treatment

12.1 Current real-world management (symptomatic/supportive)

DM1 management is multidisciplinary and largely symptomatic.

Cardiac surveillance/intervention: surveillance is emphasized; device therapy (pacemaker/ICD) may be indicated for conduction disease and tachyarrhythmias. (ricci2024assessmentofthe pages 17-20)

Respiratory support: non-invasive ventilation (BiPAP/CPAP), respiratory physiotherapy, and supportive interventions can improve quality of life and survival in respiratory involvement. (ricci2024assessmentofthe pages 17-20)

Myotonia pharmacotherapy: mexiletine is a commonly used antimyotonia therapy; symptomatic agents require ECG assessment due to cardiac risk considerations. A care/outcome measures source reports “Class 1 evidence” supporting mexiletine 150–200 mg three times daily for myotonia. (ricci2024assessmentofthe pages 17-20)

Sleepiness: modafinil or methylphenidate may be used for disabling daytime sleepiness (symptomatic). (ricci2024assessmentofthe pages 17-20)

MAXO term suggestions (examples): - Antiarrhythmic drug therapy (mexiletine) → MAXO:0000105 (drug therapy; confirm specific MAXO term) - Cardiac pacemaker implantation → MAXO:0000621 (device implantation; verify) - Noninvasive ventilation → MAXO:0000504 (ventilatory support; verify) - Physical therapy/rehabilitation → MAXO:0000019 (rehabilitation; verify)

(Exact MAXO IDs should be verified; MAXO mappings were not provided in the retrieved documents.)

12.2 Recent developments and latest research (2023–2024 priority)

12.2.1 RNA-/gene-targeting approaches (preclinical/translation)

AAV-delivered antisense (U7snRNA) targeting DMPK/CTG tracts: Patient-derived myoblasts treated with AAV8.U7snRNA antisense constructs showed reduced RNA foci, MBNL relocalization, and broad splicing correction (RNA-seq), supporting long-lasting delivery strategies beyond systemic ASOs. (Almeida et al., 2023-06, https://doi.org/10.3389/fcell.2023.1181040) (almeida2023promisingaav.u7snrnasvectors pages 1-2)

Antisense conjugates review (delivery focus): Research is focusing on improving ASO biodistribution using lipid/cell-penetrating peptide/antibody conjugation to improve muscle (including cardiac) delivery; CNS delivery remains challenging. (Stoodley et al., 2023-01, https://doi.org/10.3390/ijms24032697) (stoodley2023applicationofantisense pages 1-2, stoodley2023applicationofantisense pages 8-9)

AntimiR strategy (MBNL1 derepression): A 2024 Science Advances study in primary DM1 myoblasts reports that antimiRs targeting miR-23b and miR-218 can boost MBNL1 and improve RNA toxicity readouts and myoblast phenotypes; the abstract notes a leading antimiR reversed 68% of dysregulated genes and also reduced DMPK transcripts and ribonuclear foci. (Cerro-Herreros et al., 2024-10, https://doi.org/10.1126/sciadv.adn6525) (stoodley2023applicationofantisense pages 1-2)

12.2.2 Clinical trials (registry evidence; 2023–2024 status emphasis)

Avidity Biosciences (AOC 1001 / del-desiran) programs - AOC 1001 study in adult DM1: NCT05027269, Phase 1/2, COMPLETED, enrollment 39. (ClinicalTrials.gov) (NCT02858908 chunk 1) - Open-label extension: NCT05479981, Phase 2, COMPLETED, enrollment 37. (ClinicalTrials.gov) (NCT02858908 chunk 1) - Global Phase 3 study del-desiran: NCT06411288, Phase 3, ACTIVE_NOT_RECRUITING, enrollment 159. (ClinicalTrials.gov) (NCT02858908 chunk 1) - Global Phase 3 open-label extension: NCT07008469, Phase 3, ENROLLING_BY_INVITATION, enrollment 230. (ClinicalTrials.gov) (NCT02858908 chunk 1)

Gene therapy trial - Sanofi AAV gene therapy: SAR446268, NCT06844214, Phase 1/2, RECRUITING, enrollment 32. (ClinicalTrials.gov) (NCT02858908 chunk 1)

Small-molecule/repurposed therapy trials (examples) - Tideglusib trial: NCT02858908, Phase 2, COMPLETED, enrollment 16; endpoints include safety and multiple functional measures; results posted in 2025 per registry metadata. (ClinicalTrials.gov) (NCT02858908 chunk 1) - Mexiletine (once-daily PR) trial: NCT06523400, Phase 3, RECRUITING, enrollment 176. (ClinicalTrials.gov) (NCT02858908 chunk 1)

Important limitation: Quantitative efficacy results for AOC 1001/del-desiran, VX-670, SAR446268, and mexiletine PR were not available in the retrieved evidence snippets (trial registry metadata were retrieved; full results would require additional extraction). (NCT02858908 chunk 1)

13. Prevention

13.1 Primary prevention

No primary prevention exists for a germline Mendelian repeat-expansion disorder other than reproductive options.

13.2 Secondary prevention (early detection)

  • Cascade testing in families and early molecular confirmation are core strategies due to anticipation and variable onset. (ionova2024thestudyof pages 1-2)

13.3 Tertiary prevention (complication prevention)

13.4 Genetic counseling and reproductive options

A Mexican national reference cohort described implementation of clinical and molecular evaluation including predictive testing, prenatal diagnosis, and preimplantation genetic diagnosis, but with limited uptake due to legal, cultural, and cost barriers. (cerecedozapata2025fifteenyearsof pages 15-16)

14. Other Species / Natural Disease

No naturally occurring DM1 in non-human species was established from the retrieved evidence (e.g., OMIA/veterinary sources were not retrieved in this run). This section is therefore not available from current evidence.

15. Model Organisms

15.1 Cellular and stem cell models

Human pluripotent stem cell (hPSC/iPSC) models are used for disease mechanism decoding and drug discovery, motivated by DM1 multisystem involvement beyond skeletal muscle. (Bérenger-Currias et al., 2023-02, https://doi.org/10.3390/cells12040571) (berengercurrias2023pluripotentstemcells pages 1-2)

15.2 Mouse models


Expert synthesis / analysis (authoritative interpretation)

  1. Mechanism-guided therapeutic logic: The convergence of evidence across cohorts and models supports DM1 as an RNA-mediated spliceopathy. This coherently explains multisystem involvement, since DMPK is broadly expressed and MBNL/CELF-driven splicing programs are fundamental in multiple tissues. (almeida2023promisingaav.u7snrnasvectors pages 1-2, berengercurrias2023pluripotentstemcells pages 1-2, stoodley2023applicationofantisense pages 1-2)
  2. Why delivery dominates translational risk: ASOs can correct foci/splicing in models but face systemic delivery limitations in human muscle; the 2023–2024 literature emphasizes conjugation, viral delivery, and alternative nucleic-acid modalities to overcome biodistribution barriers. (almeida2023promisingaav.u7snrnasvectors pages 1-2, stoodley2023applicationofantisense pages 1-2, stoodley2023applicationofantisense pages 8-9)
  3. Clinical heterogeneity is biologically grounded: Anticipation, tissue mosaicism, and repeat interruptions/methylation provide plausible explanations for substantial inter-individual variability and complicate prognosis based on blood repeat length alone. (ionova2024thestudyof pages 1-2)

Key gaps (not resolved in retrieved evidence)

  • ICD-10/ICD-11 codes and a definitive MeSH term specific to “DM1” (beyond MeSH Myotonic Dystrophy D009223) were not retrieved. (NCT06979024 chunk 1)
  • Outcome results for several major contemporary trials (AOC 1001/del-desiran Phase 3; VX-670; SAR446268) were not available in the evidence snippets. (NCT02858908 chunk 1)
  • Cross-species natural disease evidence (OMIA) and comprehensive differential diagnosis lists were not retrieved.

References

  1. (berengercurrias2023pluripotentstemcells pages 1-2): Noémie Bérenger-Currias, Cécile Martinat, and Sandrine Baghdoyan. Pluripotent stem cells in disease modeling and drug discovery for myotonic dystrophy type 1. Cells, 12:571, Feb 2023. URL: https://doi.org/10.3390/cells12040571, doi:10.3390/cells12040571. This article has 10 citations.

  2. (hale2023dynamicsandvariability pages 1-2): Melissa A Hale, Kameron Bates, Marina Provenzano, and Nicholas E Johnson. Dynamics and variability of transcriptomic dysregulation in congenital myotonic dystrophy during pediatric development. Human Molecular Genetics, 32:1413-1428, Oct 2023. URL: https://doi.org/10.1093/hmg/ddac254, doi:10.1093/hmg/ddac254. This article has 23 citations and is from a domain leading peer-reviewed journal.

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  5. (abati2024cardiacriskand pages 1-2): Elena Abati, Claudia Alberti, Valentina Tambè, Anastasia Esseridou, Giacomo Pietro Comi, Stefania Corti, Giovanni Meola, and Francesco Secchi. Cardiac risk and myocardial fibrosis assessment with cardiac magnetic resonance in patients with myotonic dystrophy. Frontiers in Neurology, Nov 2024. URL: https://doi.org/10.3389/fneur.2024.1493570, doi:10.3389/fneur.2024.1493570. This article has 4 citations and is from a peer-reviewed journal.

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