View clinical trials related to Muscular Atrophy, Spinal.
Filter by:The primary objective of the clinical investigation is to demonstrate successful clinical use of the ThecaFlex DRx™ System in delivering nusinersen in subjects with spinal muscular atrophy (SMA). All enrolled subjects will undergo implantation of the investigational device (ThecaFlex DRx™ System) and will be followed for 12 months after receiving the implant. The 12-month data will be used to assess the primary endpoint support a Pre-Market Approval (PMA) application.
This is an open-label, single-arm, multicenter clinical study to evaluate the effectiveness and safety of risdiplam administered in pediatric participants with SMA and 2 SMN2 copies who previously received onasemnogene abeparvovec and experience a plateau or decline in function. Participants to be enrolled are children <2 years of age genetically diagnosed with SMA.
This is an open-label, single-arm, multicenter clinical study to evaluate the effectiveness and safety of risdiplam administered as an early intervention in pediatric participants with spinal muscular atrophy (SMA) and 2 SMN2 copies who have previously received onasemnogene abeparvovec. Participants are children < 2 years of age genetically diagnosed with SMA.
The study will evaluate safety and efficacy of intrathecal delivery of GC101 gene therapy drug as a treatment of spinal muscular atrophy Type 1 (SMA 1) patients.
This study will evaluate the pharmacokinetics (PK) and safety of risdiplam in participants with spinal muscular atrophy (SMA) under 20 days of age at first dose.
The purpose of this study is to evaluate the efficacy, safety, tolerability and pharmacokinetics of NMD670 in the treatment of ambulatory adults with spinal muscular atrophy type 3
The primary objectives of the study are to prospectively evaluate pregnancy complications and outcomes in participants with SMA, birth outcomes and adverse effects in infants born to participants with SMA, who were exposed to nusinersen up to 14 months prior to the first day of their last menstrual period (LMP) before conception, 14.5 months before the date of conception, and/or at any time during their pregnancy. The secondary objective of the study is to evaluate pregnancy outcomes in participants with SMA exposed to nusinersen as compared with participants without SMA who were not exposed to nusinersen (e.g., participants from external, general population comparators).
Major breakthroughs in the treatment for Spinal muscular atrophy (SMA) have been recently achieved with various therapeutic approaches that increase full-length SMN protein levels. The variability observed following the advent of commercial availability of Nusinersen for all types of SMA has highlighted the need to identify tools that may allow to predict possible therapeutic responses. The aim of this project is to establish whether an integrated approach using clinical, imaging (muscle MRI) and circulating biomarkers, can provide the possibility to develop a predictive model of therapeutic response to novel therapies for SMA patients. More specifically we wish to establish the correlation between clinical response, different biomarkers indicative of central nervous system efficacy (e.g. determination of neurofilaments levels), and markers that provide evidence of the skeletal muscle response (e.g. serum myostatin and muscle imaging) in different types of SMA
Spinal Muscular Atrophy (SMA) is caused by the homozygous loss of the Survival Motor Neuron (SMN) 1 gene, which leads to degeneration of spinal alpha-motor neurons and muscle atrophy. Three treatments have been approved for SMA but the available data show interpatient variability in therapy response and, to date, individual factors such as age or SMN2 copies,cannot fully explain this variance. The aim of this project is: - collect clinical data and patient-reported outcome measures (PROM) from patients treated with nusinersen, risdiplam, onasemnogene abeparvovec, - identify novel biomarkers and RNA molecular signature profiling, - develop a predictive algorithm using artificial intelligence (AI) methodologies based on machine learning (ML), able to integrate clinical outcomes, patients' characteristics, and specific biomarkers. This effort will help to better stratify the SMA patients and to predict their therapeutic outcome, thus to address patients towards personalized therapies.
This is an observational multicenter retrospective and prospective study on natural history of SMA also considering the 'new natural history' secondary to the availability of commercially available therapies. All the patients enrolled to date in the Italian registry, if not part of clinical trials, will be included in the present study.