LGMD R1 Natural History Study
GRASP-01-003
GRASP-01-003: Trial Readiness and Endpoint Assessment in LGMD R1
3 other identifiers
observational
100
3 countries
12
Brief Summary
This is a 24-month, observational study of 100 participants with Limb Girdle Muscular Dystrophy type R1, also known as CAPN3.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P50-P75 for all trials
Started Jan 2024
Longer than P75 for all trials
12 active sites
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
Click on a node to explore related trials.
Study Timeline
Key milestones and dates
First Submitted
Initial submission to the registry
November 9, 2022
CompletedFirst Posted
Study publicly available on registry
November 16, 2022
CompletedStudy Start
First participant enrolled
January 31, 2024
CompletedPrimary Completion
Last participant's last visit for primary outcome
May 1, 2028
ExpectedStudy Completion
Last participant's last visit for all outcomes
August 1, 2028
June 8, 2025
June 1, 2025
4.3 years
November 9, 2022
June 6, 2025
Conditions
Keywords
Outcome Measures
Primary Outcomes (1)
Validate the NSAD as a clinical outcome assessment in LGMD R1
The North Star Assessment for Dysferlinopathy (NSAD) is a functional scale specifically designed to measure motor performance in individuals with LGMD. It consists of 29 items that are considered clinically relevant items from the North Star Ambulatory Assessment and the Motor Function Measure 20 with a maximum score of 54 and higher scores indicate higher functional abilities.
Baseline to 24 months
Secondary Outcomes (1)
Validate muscle fat fraction as a biomarker
Baseline to 12 months
Other Outcomes (11)
Change in mobility (100-meter walk)
Baseline to 24 months
Change in Forced vital capacity (FVC)
Baseline to 24 months
Change in Forced expiratory volume (FEV1)
Baseline to 24 months
- +8 more other outcomes
Study Arms (1)
LGMD Type R1/LGMD2A/CAPN3
No intervention will be administered.
Eligibility Criteria
The study population includes ambulatory individuals aged 12-50 at enrollment who are clinically affected by and have genetic confirmation of LGMDR1.
You may qualify if:
- Age between 12-50 at enrollment
- Clinically affected (defined as weakness on bedside evaluation in a pattern consistent with LGMDR1)
- Genetic confirmation of LGMDR1 (presence of homozygous or compound heterozygous pathogenic mutations in CAPN3).
- Must be able to provide written informed consent and be willing and able to comply with all study requirements. Note: Adult participants must be able to provide consent themselves. Legally authorized representatives are not permitted to consent on behalf of adult participants.
You may not qualify if:
- Have contraindications to MRI or MRS (e.g., non-MR compatible implanted medical devices or severe claustrophobia)
- Non-ambulatory as defined by those who are not able to walk 10 meters without assistive devices (ankle foot orthotics excluded)
- Positive pregnancy test at any timepoint during the trial
- Have dominantly inherited CAPN3 mutations (LGMDD4)
- Any other illness that would interfere with the ability to undergo safe testing or would interfere with interpretation of the results in the opinion of the site investigator.
Contact the study team to confirm eligibility.
Sponsors & Collaborators
- Virginia Commonwealth Universitylead
- Nationwide Children's Hospitalcollaborator
- Washington University School of Medicinecollaborator
- University of Iowacollaborator
- University of Floridacollaborator
- University of Minnesotacollaborator
- Newcastle Universitycollaborator
- University of Kansas Medical Centercollaborator
- University of Colorado, Denvercollaborator
- Indiana CHC (Community Health Clinic)collaborator
- University of California, Irvinecollaborator
Study Sites (12)
University of California, Irvine
Orange, California, 92868, United States
University of Colorado Anschutz Medical Campus
Aurora, Colorado, 80045, United States
University of Florida
Gainesville, Florida, 32610, United States
The Community Health Clinic, Inc.
Shipshewana, Indiana, 46565, United States
University of Iowa Hospitals and Clinics
Iowa City, Iowa, 52242, United States
University of Kansas Medical Center
Kansas City, Kansas, 66160, United States
University of Minnesota, Department of Neurology
Minneapolis, Minnesota, 55455, United States
Washington University School of Medicine
St Louis, Missouri, 63110, United States
Nationwide Children's Hospital
Columbus, Ohio, 43205, United States
Virginia Commonwealth University
Richmond, Virginia, 23298, United States
Leiden University Medical Center
Leiden, Netherlands
Newcastle University
Newcastle upon Tyne, United Kingdom
Related Publications (23)
van de Velde NM, Hooijmans MT, Sardjoe Mishre ASD, Keene KR, Koeks Z, Veeger TTJ, Alleman I, van Zwet EW, Beenakker JM, Verschuuren JJGM, Kan HE, Niks EH. Selection Approach to Identify the Optimal Biomarker Using Quantitative Muscle MRI and Functional Assessments in Becker Muscular Dystrophy. Neurology. 2021 Aug 3;97(5):e513-e522. doi: 10.1212/WNL.0000000000012233. Epub 2021 Jun 23.
PMID: 34162720BACKGROUNDDeenen JC, Horlings CG, Verschuuren JJ, Verbeek AL, van Engelen BG. The Epidemiology of Neuromuscular Disorders: A Comprehensive Overview of the Literature. J Neuromuscul Dis. 2015;2(1):73-85.
PMID: 28198707BACKGROUNDMoore SA, Shilling CJ, Westra S, Wall C, Wicklund MP, Stolle C, Brown CA, Michele DE, Piccolo F, Winder TL, Stence A, Barresi R, King N, King W, Florence J, Campbell KP, Fenichel GM, Stedman HH, Kissel JT, Griggs RC, Pandya S, Mathews KD, Pestronk A, Serrano C, Darvish D, Mendell JR. Limb-girdle muscular dystrophy in the United States. J Neuropathol Exp Neurol. 2006 Oct;65(10):995-1003. doi: 10.1097/01.jnen.0000235854.77716.6c.
PMID: 17021404BACKGROUNDNallamilli BRR, Chakravorty S, Kesari A, Tanner A, Ankala A, Schneider T, da Silva C, Beadling R, Alexander JJ, Askree SH, Whitt Z, Bean L, Collins C, Khadilkar S, Gaitonde P, Dastur R, Wicklund M, Mozaffar T, Harms M, Rufibach L, Mittal P, Hegde M. Genetic landscape and novel disease mechanisms from a large LGMD cohort of 4656 patients. Ann Clin Transl Neurol. 2018 Dec 1;5(12):1574-1587. doi: 10.1002/acn3.649. eCollection 2018 Dec.
PMID: 30564623BACKGROUNDArrigoni F, De Luca A, Velardo D, Magri F, Gandossini S, Russo A, Froeling M, Bertoldo A, Leemans A, Bresolin N, D'angelo G. Multiparametric quantitative MRI assessment of thigh muscles in limb-girdle muscular dystrophy 2A and 2B. Muscle Nerve. 2018 Oct;58(4):550-558. doi: 10.1002/mus.26189. Epub 2018 Aug 22.
PMID: 30028523BACKGROUNDBarp A, Laforet P, Bello L, Tasca G, Vissing J, Monforte M, Ricci E, Choumert A, Stojkovic T, Malfatti E, Pegoraro E, Semplicini C, Stramare R, Scheidegger O, Haberlova J, Straub V, Marini-Bettolo C, Lokken N, Diaz-Manera J, Urtizberea JA, Mercuri E, Kyncl M, Walter MC, Carlier RY. European muscle MRI study in limb girdle muscular dystrophy type R1/2A (LGMDR1/LGMD2A). J Neurol. 2020 Jan;267(1):45-56. doi: 10.1007/s00415-019-09539-y. Epub 2019 Sep 25.
PMID: 31555977BACKGROUNDFeng X, Luo S, Li J, Yue D, Xi J, Zhu W, Gao X, Guan X, Lu J, Liang Z, Zhao C. Fatty infiltration evaluation and selective pattern characterization of lower limbs in limb-girdle muscular dystrophy type 2A by muscle magnetic resonance imaging. Muscle Nerve. 2018 Oct;58(4):536-541. doi: 10.1002/mus.26169. Epub 2018 Sep 3.
PMID: 29797799BACKGROUNDFischer D, Walter MC, Kesper K, Petersen JA, Aurino S, Nigro V, Kubisch C, Meindl T, Lochmuller H, Wilhelm K, Urbach H, Schroder R. Diagnostic value of muscle MRI in differentiating LGMD2I from other LGMDs. J Neurol. 2005 May;252(5):538-47. doi: 10.1007/s00415-005-0684-4. Epub 2005 Feb 23.
PMID: 15726252BACKGROUNDJaka O, Azpitarte M, Paisan-Ruiz C, Zulaika M, Casas-Fraile L, Sanz R, Trevisiol N, Levy N, Bartoli M, Krahn M, Lopez de Munain A, Saenz A. Entire CAPN3 gene deletion in a patient with limb-girdle muscular dystrophy type 2A. Muscle Nerve. 2014 Sep;50(3):448-53. doi: 10.1002/mus.24263. Epub 2014 Aug 5.
PMID: 24715573BACKGROUNDMercuri E, Bushby K, Ricci E, Birchall D, Pane M, Kinali M, Allsop J, Nigro V, Saenz A, Nascimbeni A, Fulizio L, Angelini C, Muntoni F. Muscle MRI findings in patients with limb girdle muscular dystrophy with calpain 3 deficiency (LGMD2A) and early contractures. Neuromuscul Disord. 2005 Feb;15(2):164-71. doi: 10.1016/j.nmd.2004.10.008. Epub 2004 Nov 26.
PMID: 15694138BACKGROUNDWillis TA, Hollingsworth KG, Coombs A, Sveen ML, Andersen S, Stojkovic T, Eagle M, Mayhew A, de Sousa PL, Dewar L, Morrow JM, Sinclair CD, Thornton JS, Bushby K, Lochmuller H, Hanna MG, Hogrel JY, Carlier PG, Vissing J, Straub V. Quantitative magnetic resonance imaging in limb-girdle muscular dystrophy 2I: a multinational cross-sectional study. PLoS One. 2014 Feb 28;9(2):e90377. doi: 10.1371/journal.pone.0090377. eCollection 2014.
PMID: 24587344BACKGROUNDReyngoudt H, Marty B, Boisserie JM, Le Louer J, Koumako C, Baudin PY, Wong B, Stojkovic T, Behin A, Gidaro T, Allenbach Y, Benveniste O, Servais L, Carlier PG. Global versus individual muscle segmentation to assess quantitative MRI-based fat fraction changes in neuromuscular diseases. Eur Radiol. 2021 Jun;31(6):4264-4276. doi: 10.1007/s00330-020-07487-0. Epub 2020 Nov 21.
PMID: 33219846BACKGROUNDBarnard AM, Willcocks RJ, Finanger EL, Daniels MJ, Triplett WT, Rooney WD, Lott DJ, Forbes SC, Wang DJ, Senesac CR, Harrington AT, Finkel RS, Russman BS, Byrne BJ, Tennekoon GI, Walter GA, Sweeney HL, Vandenborne K. Skeletal muscle magnetic resonance biomarkers correlate with function and sentinel events in Duchenne muscular dystrophy. PLoS One. 2018 Mar 19;13(3):e0194283. doi: 10.1371/journal.pone.0194283. eCollection 2018.
PMID: 29554116BACKGROUNDWillcocks RJ, Arpan IA, Forbes SC, Lott DJ, Senesac CR, Senesac E, Deol J, Triplett WT, Baligand C, Daniels MJ, Sweeney HL, Walter GA, Vandenborne K. Longitudinal measurements of MRI-T2 in boys with Duchenne muscular dystrophy: effects of age and disease progression. Neuromuscul Disord. 2014 May;24(5):393-401. doi: 10.1016/j.nmd.2013.12.012. Epub 2014 Jan 11.
PMID: 24491484BACKGROUNDBurakiewicz J, Sinclair CDJ, Fischer D, Walter GA, Kan HE, Hollingsworth KG. Quantifying fat replacement of muscle by quantitative MRI in muscular dystrophy. J Neurol. 2017 Oct;264(10):2053-2067. doi: 10.1007/s00415-017-8547-3. Epub 2017 Jul 1.
PMID: 28669118BACKGROUNDWillcocks RJ, Rooney WD, Triplett WT, Forbes SC, Lott DJ, Senesac CR, Daniels MJ, Wang DJ, Harrington AT, Tennekoon GI, Russman BS, Finanger EL, Byrne BJ, Finkel RS, Walter GA, Sweeney HL, Vandenborne K. Multicenter prospective longitudinal study of magnetic resonance biomarkers in a large duchenne muscular dystrophy cohort. Ann Neurol. 2016 Apr;79(4):535-47. doi: 10.1002/ana.24599. Epub 2016 Feb 19.
PMID: 26891991BACKGROUNDComi GP, Niks EH, Cinnante CM, Kan HE, Vandenborne K, Willcocks RJ, Velardo D, Ripolone M, van Benthem JJ, van de Velde NM, Nava S, Ambrosoli L, Cazzaniga S, Bettica PU. Characterization of patients with Becker muscular dystrophy by histology, magnetic resonance imaging, function, and strength assessments. Muscle Nerve. 2022 Mar;65(3):326-333. doi: 10.1002/mus.27475. Epub 2021 Dec 30.
PMID: 34918368BACKGROUNDBatra A, Lott DJ, Willcocks R, Forbes SC, Triplett W, Dastgir J, Yun P, Reghan Foley A, Bonnemann CG, Vandenborne K, Walter GA. Lower Extremity Muscle Involvement in the Intermediate and Bethlem Myopathy Forms of COL6-Related Dystrophy and Duchenne Muscular Dystrophy: A Cross-Sectional Study. J Neuromuscul Dis. 2020;7(4):407-417. doi: 10.3233/JND-190457.
PMID: 32538860BACKGROUNDHung M, Clegg DO, Greene T, Saltzman CL. Evaluation of the PROMIS physical function item bank in orthopaedic patients. J Orthop Res. 2011 Jun;29(6):947-53. doi: 10.1002/jor.21308. Epub 2011 Mar 15.
PMID: 21437962BACKGROUNDHung M, Baumhauer JF, Brodsky JW, Cheng C, Ellis SJ, Franklin JD, Hon SD, Ishikawa SN, Latt LD, Phisitkul P, Saltzman CL, SooHoo NF, Hunt KJ; Orthopaedic Foot & Ankle Outcomes Research (OFAR) of the American Orthopaedic Foot & Ankle Society (AOFAS). Psychometric Comparison of the PROMIS Physical Function CAT With the FAAM and FFI for Measuring Patient-Reported Outcomes. Foot Ankle Int. 2014 Jun;35(6):592-599. doi: 10.1177/1071100714528492.
PMID: 24677217BACKGROUNDChristensen KB, Makransky G, Horton M. Critical Values for Yen's Q3: Identification of Local Dependence in the Rasch Model Using Residual Correlations. Appl Psychol Meas. 2017 May;41(3):178-194. doi: 10.1177/0146621616677520. Epub 2016 Nov 16.
PMID: 29881087BACKGROUNDKhadka J, Pesudovs K, McAlinden C, Vogel M, Kernt M, Hirneiss C. Reengineering the glaucoma quality of life-15 questionnaire with rasch analysis. Invest Ophthalmol Vis Sci. 2011 Sep 1;52(9):6971-7. doi: 10.1167/iovs.11-7423.
PMID: 21810983BACKGROUNDHung M, Voss MW, Bounsanga J, Gu Y, Granger EK, Tashjian RZ. Psychometrics of the Patient-Reported Outcomes Measurement Information System Physical Function instrument administered by computerized adaptive testing and the Disabilities of Arm, Shoulder and Hand in the orthopedic elbow patient population. J Shoulder Elbow Surg. 2018 Mar;27(3):515-522. doi: 10.1016/j.jse.2017.10.015. Epub 2018 Jan 9.
PMID: 29325704BACKGROUND
Biospecimen
Blood samples will be taken for biomarker development and retained for future research. No clinical diagnosis will be given to patients.
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Study Officials
- PRINCIPAL INVESTIGATOR
Nicholas Johnson, MD
Virginia Commonwealth University
Central Study Contacts
Study Design
- Study Type
- observational
- Observational Model
- COHORT
- Time Perspective
- OTHER
- Sponsor Type
- OTHER
- Responsible Party
- SPONSOR
Study Record Dates
First Submitted
November 9, 2022
First Posted
November 16, 2022
Study Start
January 31, 2024
Primary Completion (Estimated)
May 1, 2028
Study Completion (Estimated)
August 1, 2028
Last Updated
June 8, 2025
Record last verified: 2025-06
Data Sharing
- IPD Sharing
- Will not share
Aggregated and deidentified data will be shared with qualified investigators upon majority approval of the LGMD investigators