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| Name | Class |
|---|---|
| Dyne Therapeutics | INDUSTRY |
| Myotonic Dystrophy Clinical Research Network (DMCRN) | UNKNOWN |
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Myotonic Dystrophy type 1 (DM1) is an autosomal dominant multisystemic disorder that causes progressive disability and shortened life expectancy. It is characterized by progressive weakness and myotonia, which preferentially affects the craniofacial, hand, and distal leg muscles. Many patients also experience difficulties with cognition, cardiac arrhythmias, respiratory failure, or cataracts. Currently there is no treatment to slow progression or reverse the symptoms.
The goal of this observational study is to characterize long-term disease progression over at least 4 years in at least 1,000 adults with myotonic dystrophy type 1 (DM1).
The main questions this study aims to answer are:
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Myotonic Dystrophy Type 1 (DM1) Longitudinal Cohort | Participants with a clinical or genetic diagnosis of myotonic dystrophy type 1 (DM1) or congenital myotonic dystrophy (CDM). This cohort includes individuals transitioning from the parent study, Establishing Biomarkers and Clinical Endpoints in Myotonic Dystrophy Type 1 (END-DM1; NCT03981575), as well as newly enrolled participants. |
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| Measure | Description | Time Frame |
|---|---|---|
| Characterize the long-term disease progression- 10 meter walk/run | The 10-meter walk test (10MWT) is used in research to reliably measure gait speed, assessing functional mobility and detecting changes in walking performance over time. It is a highly reliable, quick, and cost-effective tool. . It is favored for its simplicity, speed, and ability to predict functional independence. A "good" score varies by age/condition, with healthy adults averaging over 1.2-1.4 m/s. | Baseline (0 months), every 12 months over four years |
| Characterize the long-term disease progression- vHOT | The Video Hand Opening Time (vHOT) is used in research as a practical, low-cost, and reliable quantitative tool to measure handgrip myotonia (delayed muscle relaxation) in Myotonic Dystrophy Type 1 (DM1) patients. It is particularly valuable for multicenter clinical trials because it allows for blinded, objective assessment of therapeutic responses. A "good" (healthy) score is generally as close to zero as possible. | Baseline (0 months), every 12 months over four years |
| Characterize the long-term disease progression- grip strength | Grip strength is used in research as a reliable, low-cost biomarker for overall muscle strength, aging, and mortality risk. A good score varies by age and sex, with healthy young adults often averaging over 40-45 kg (males) and 25-30kg (females). | Baseline (0 months), every 12 months over four years |
| Characterize the long-term disease progression- ECG | Electrocardiograms (ECGs/EKGs) are used in research for their non-invasive, cost-effective ability to track heart rhythm, diagnose cardiac conditions, and assess cardiovascular disease risk. In research, a "good" ECG score indicates normal sinus rhythm and intervals, such as a PR interval of 120-200 milliseconds and an RR interval of 0.6-1.2 seconds. | Baseline (0 months), every 12 months over four years |
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Inclusion Criteria:
Exclusion Criteria:
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The study seeks to enroll at least 1000 men and women aged 18 to 70 with a positive genetic test for myotonic dystrophy type 1, a clinical diagnosis of myotonic dystrophy type 1, or a clinical diagnosis or positive genetic test for congenital myotonic dystrophy. based on research criteria. Few restrictions are placed on participation in the study because we aim to capture the full spectrum of disease severity.
| Name | Role | Phone | Extension | |
|---|---|---|---|---|
| Jennifer Raymond | Contact | 804-828-6318 | Jennifer.raymond@vcuhealth.org | |
| Ruby Langeslay | Contact | 804-828-6318 | Ruby.langeslay@vcuhealth.org |
| Name | Affiliation | Role |
|---|---|---|
| Nicholas Johnson, MD | Virginia Commonwealth University | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Virginia Commonwealth University | Recruiting | Richmond | Virginia | 23298 | United States |
| PubMed Identifier | Type | Citation | Retractions |
|---|---|---|---|
| 8835099 | Background | Goldman A, Ramsay M, Jenkins T. Ethnicity and myotonic dystrophy: a possible explanation for its absence in sub-Saharan Africa. Ann Hum Genet. 1996 Jan;60(1):57-65. doi: 10.1111/j.1469-1809.1996.tb01172.x. | |
| 2927653 | Background | Griggs RC, Wood DS. Criteria for establishing the validity of genetic recombination in myotonic dystrophy. Neurology. 1989 Mar;39(3):420-1. doi: 10.1212/wnl.39.3.420. No abstract available. |
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Blood samples will be collected to extract genomic DNA from peripheral blood leukocytes. DNA, RNA, and proteins are derived from collected blood and other tissue samples.
| Characterize the long-term disease progression- FVC |
Forced Vital Capacity (FVC) is crucial in research for diagnosing and tracking restrictive lung diseases (e.g., pulmonary fibrosis), assessing disease progression, and measuring treatment efficacy in clinical trials. A "good" or normal FVC is typically 80% or higher of the predicted value, based on a patient's age, height, sex, and ethnicity. |
| Baseline (0 months), every 12 months over four years |
| Characterize the long-term disease progression- DM1-Activ-c | The DM1-Activ-c (25-item) is a validated, Rasch-built, patient-reported outcome measure designed specifically to assess daily activity and participation in Myotonic Dystrophy Type 1 (DM1) patients. It is used in research for its high sensitivity to disease progression and therapeutic changes (responsiveness), making it a reliable primary endpoint for clinical trials to measure patient improvement. The DM1-Activ-c is scored on a scale from 0 to 100, where higher scores indicate better functional ability. | Baseline (0 months), every 12 months over four years |
| 8115459 | Background | Personius KE, Pandya S, King WM, Tawil R, McDermott MP. Facioscapulohumeral dystrophy natural history study: standardization of testing procedures and reliability of measurements. The FSH DY Group. Phys Ther. 1994 Mar;74(3):253-63. doi: 10.1093/ptj/74.3.253. |
| 8285579 | Background | Thornton CA, Johnson K, Moxley RT 3rd. Myotonic dystrophy patients have larger CTG expansions in skeletal muscle than in leukocytes. Ann Neurol. 1994 Jan;35(1):104-7. doi: 10.1002/ana.410350116. |
| 20080938 | Background | Braida C, Stefanatos RK, Adam B, Mahajan N, Smeets HJ, Niel F, Goizet C, Arveiler B, Koenig M, Lagier-Tourenne C, Mandel JL, Faber CG, de Die-Smulders CE, Spaans F, Monckton DG. Variant CCG and GGC repeats within the CTG expansion dramatically modify mutational dynamics and likely contribute toward unusual symptoms in some myotonic dystrophy type 1 patients. Hum Mol Genet. 2010 Apr 15;19(8):1399-412. doi: 10.1093/hmg/ddq015. Epub 2010 Jan 15. |
| 3818871 | Background | Guyatt G, Walter S, Norman G. Measuring change over time: assessing the usefulness of evaluative instruments. J Chronic Dis. 1987;40(2):171-8. doi: 10.1016/0021-9681(87)90069-5. |
| 10529027 | Background | Wyrwich KW, Tierney WM, Wolinsky FD. Further evidence supporting an SEM-based criterion for identifying meaningful intra-individual changes in health-related quality of life. J Clin Epidemiol. 1999 Sep;52(9):861-73. doi: 10.1016/s0895-4356(99)00071-2. |
| 11936935 | Background | Guyatt GH, Osoba D, Wu AW, Wyrwich KW, Norman GR; Clinical Significance Consensus Meeting Group. Methods to explain the clinical significance of health status measures. Mayo Clin Proc. 2002 Apr;77(4):371-83. doi: 10.4065/77.4.371. |
| 2691207 | Background | Jaeschke R, Singer J, Guyatt GH. Measurement of health status. Ascertaining the minimal clinically important difference. Control Clin Trials. 1989 Dec;10(4):407-15. doi: 10.1016/0197-2456(89)90005-6. |
| 22723290 | Background | Mathai SC, Puhan MA, Lam D, Wise RA. The minimal important difference in the 6-minute walk test for patients with pulmonary arterial hypertension. Am J Respir Crit Care Med. 2012 Sep 1;186(5):428-33. doi: 10.1164/rccm.201203-0480OC. Epub 2012 Jun 21. |
| 38810377 | Background | Teng S, Wang B, Yang F, Yi X, Zhang X, Sun Y. MediDRNet: Tackling category imbalance in diabetic retinopathy classification with dual-branch learning and prototypical contrastive learning. Comput Methods Programs Biomed. 2024 Aug;253:108230. doi: 10.1016/j.cmpb.2024.108230. Epub 2024 May 17. |
| 38830204 | Background | Liu P, Liu Y, Liu H, Xiong L, Mei C, Yuan L. A Random Forest Algorithm for Assessing Risk Factors Associated With Chronic Kidney Disease: Observational Study. Asian Pac Isl Nurs J. 2024 Jun 3;8:e48378. doi: 10.2196/48378. |
| ID | Term |
|---|---|
| D009223 | Myotonic Dystrophy |
| D009136 | Muscular Dystrophies |
| D009468 | Neuromuscular Diseases |
| D009222 | Myotonia |
| ID | Term |
|---|---|
| D020966 | Muscular Disorders, Atrophic |
| D009135 | Muscular Diseases |
| D009140 | Musculoskeletal Diseases |
| D020967 | Myotonic Disorders |
| D020271 | Heredodegenerative Disorders, Nervous System |
| D019636 | Neurodegenerative Diseases |
| D009422 | Nervous System Diseases |
| D030342 | Genetic Diseases, Inborn |
| D009358 | Congenital, Hereditary, and Neonatal Diseases and Abnormalities |
| D020879 | Neuromuscular Manifestations |
| D009461 | Neurologic Manifestations |
| D012816 | Signs and Symptoms |
| D013568 | Pathological Conditions, Signs and Symptoms |
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