Clinical Research Directory

BetterLife FSHD: A Patient-driven Health and Research Platform

BetterLife FSHD is a registry platform built to support people living with FSHD. It connects patients with personalized resources, tools, and research opportunities that match their health experiences and needs. At the same time, BetterLife collects secure health and experience data from patients to support research. This data is shared with researchers to help better understand FSHD and work toward improved care, treatments, and outcomes for the community. Learn more and enroll at: www.BetterLifeFSHD.org

A Study to Evaluate Del-brax (Also Referred to as AOC 1020) in Participants With FSHD

A Randomized, Double-blind, Placebo-controlled, Phase 3 Study to Evaluate the Efficacy and Safety of Intravenous AOC 1020 for the Treatment of Facioscapulohumeral Muscular Dystrophy (FSHD)

Safety and Preliminary Efficacy of ULSC in Facioscapulohumeral Muscular Dystrophy (FSHD)

The goal of this clinical trial is to learn about how an umbilical cord lining-derived stem cell product (ULSC) performs when treating Facioscapulohumeral Muscular Dystrophy (FSHD) 1 or 2. It will assess safety and preliminary efficacy in relieving symptoms of FSHD with ULSC administered in two intravenous (IV) doses of 100 million cells per dose. The main questions that this study plans to answer are: * Is ULSC as safe as placebo (a look-alike saline without cells) in repeated IV infusion? * Does ULSC improve symptoms of FSHD after each dose? Researchers will compare ULSC to placebo. Participants will: * Have been diagnosed with FSHD of a Ricci clinical severity score 3 or more. * Participate in this study for total duration of 21 months with 11 in-person visits and 5 virtual visits. * Visit the clinic for a total of 4 IV infusions (250 mL) 3 months apart. * Receive 2 doses of ULSC and 2 doses placebo in either of two sequences, as assigned: ULSC first (Day 0 and Month 3) and placebo second (Month 6 and Month 9), or placebo first (Day 0 and Month 3) and ULSC second (Month 6 and Month 9). * Return for follow-up visits after each dose and up to 12 months after final dose.

Imaging and Gait Analysis in FSHD Patients

Facioscapulohumeral muscular dystrophy (FSHD) is a common genetic muscle disorder characterized by progressive and often asymmetric muscle weakness, with high variability in clinical severity and disease progression. This study aims to integrate advanced imaging and motion analysis technologies to comprehensively evaluate the impact of FSHD on muscle degeneration and motor functionality. The primary objective is to characterize the distribution and severity of muscle degeneration using magnetic resonance imaging (MRI) and correlate these findings with motor functionality profiles in a cohort of FSHD patients. Secondary objectives include: Describing gait and posture through the analysis of functional parameters using 3D-motion capture technologies. Quantifying changes in gait and posture parameters before and after personalized orthopedic interventions, assessed with functional clinical scales and 3D-motion capture analysis. This single-center, observational study will recruit 40 genetically confirmed FSHD patients from routine clinical follow-ups at the Policlinico Gemelli. Patients will undergo MRI to assess the degree of muscle fatty replacement (T1-score) and 3D Gait Analysis to capture biomechanical parameters such as kinematics, ground reaction forces, and muscle activation. Functional assessments will include tests like the Six-Minute Walk Test (6MWT) and Timed Up \& Go Test (TUG), alongside standardized scales for balance, fatigue, pain, and quality of life. The study seeks to identify novel clinical and biomechanical outcome measures that can stratify FSHD patients and evaluate therapeutic interventions. By correlating MRI patterns with motor deficits and analyzing the impact of orthopedic devices, the study aims to inform personalized rehabilitation strategies and support the design of clinical trials.

Muscle MRI Outlining of Neuromuscular Diseases Using Artificial Intelligence

Background and aim: Neuromuscular diseases encompass a range of conditions affecting muscle cells, nerves, or the interaction between the two. A common pathological feature of these conditions is the pro-gressive replacement of muscle tissue with fat, which can be visualised using magnetic reso-nance imaging (MRI). MRI-based fat quantification serves as a key biomarker for disease characterisation, progression tracking, and treatment assessment. Currently, manual segmenta-tion of MRI scans for fat quantification is very time-consuming, requiring individual muscle delineation. Therefore, an artificial intelligence (AI) model is being developed to automate the segmentation. The aim of this study is to validate this AI model and assess its possibilities and limitations. Method: The study is ongoing. Retrospective MRI scans of patients with four different muscle diseases (anoctaminopathy, Becker muscular dystrophy, facioscapulohumeral muscular dystrophy, and hypokalemic periodic paralysis) are collected and manual delineation used for training the AI-model is being performed. The intramuscular fat fraction of individual muscles of the pelvis, thigh, and calf will be analysed using the AI model. The performance of the AI model will be compared to manual segmentation. The AI will be evaluated on metrics such as segmentation accuracy and time efficiency.

Ten Year Follow-up in FSHD: the FOCUS 3 Study

This study aims to assess longitudinal data in 170 adult and 30 pediatric genetically and clinically well-defined facioscapulohumeral dystrophy (FSHD) patients. FSHD is a chronic progressive disorder associated with major disability due to loss of function and independence. The clinical variability of FSHD is partially explained by currently known (epi)genetic factors. Identifying the variables that influence the clinical variability is essential for developing targeted therapies. Furthermore, it is crucial to assess the natural course, determine sensitive outcome measures and biomarkers to prepare for future trials. Objective This is a longitudinal study on 200 Dutch FSHD patients with a follow-up of ten years. We will hereby assess the natural disease course; determine the sensitivity to change of clinical outcome measures and muscle imaging; validate newly developed outcome measures; and help identify biomarkers and modulators of disease severity. Study population: Genetically proven FSHD patients: All 162 patients that participated in the FSHD-FOCUS study, together with all 18 pediatric patients that participated in the iFocus study , and additional 65 newly included patients. Main study parameters/endpoints: Natural history will be assessed by 'traditional' clinical outcome measures: Motor Function Measure D1, Ricci-score, MRC scores and FSHD clinical score for adults. Additionally in children shoulder dysfunction performance of upper limb and Facial weakness score will be assessed. Natural history will also be quantified using newer clinical outcome measures and patient-reported measures: Reachable workspace, FSHD-RODS and FSHD Facial Function scale in adults. In children, Reachable workspace and FSHD-COM Peds will be assessed. Muscle MRI and ultrasound will be performed to determine progression of fat replacement, fibrosis, and muscle inflammation. Furthermore, blood samples will be taken in adult participants for (epi)genetic analysis on disease modifying factors, and for storage in the Radboudumc biobank for future research (e.g. on biomarkers). Nature and extent of the burden and risks associated with participation, benefit and group relatedness: Participants will be asked for a visit to the outpatient clinic at the department of neurology. Their medical history will be taken and they will undergo a clinical examination. Several questionnaires can be completed at home through on online system (Castor). Blood samples will be collected in adult patients, a magnetic resonance imaging (MRI) of muscles of both legs (in adults and adolescents) and muscle ultrasound of multiple skeletal muscles will be performed. Spirometry will be performed in a small subset of adult participants. We classify the risk of this study as negligible.