Back to Search Start Over

Characterization of Phenotypic Variability in Becker Muscular Dystrophy for Clinical Practice and Towards Trial Readiness: A Two-Years Follow up Study.

Authors :
Ricci G
Govoni A
Torri F
Astrea G
Buchignani B
Marinella G
Battini R
Manca ML
Castiglione V
Giannoni A
Emdin M
Siciliano G
Source :
Journal of neuromuscular diseases [J Neuromuscul Dis] 2024; Vol. 11 (2), pp. 375-387.
Publication Year :
2024

Abstract

Background: Becker muscular dystrophy (BMD) is a dystrophinopathy due to in-frame mutations in the dystrophin gene (DMD) which determines a reduction of dystrophin at muscle level. BMD has a wide spectrum of clinical variability with different degrees of disability. Studies of natural history are needed also in view of up-coming clinical trials.<br />Objectives: From an initial cohort of 32 BMD adult subjects, we present a detailed phenotypic characterization of 28 patients, then providing a description of their clinical natural history over the course of 12 months for 18 and 24 months for 13 of them.<br />Methods: Each patient has been genetically characterized. Baseline, and 1-year and 2 years assessments included North Star Ambulatory Assessment (NSAA), timed function tests (time to climb and descend four stairs), 6-minute walk test (6MWT), Walton and Gardner-Medwin Scale and Medical Research Council (MRC) scale. Muscle magnetic resonance imaging (MRI) was acquired at baseline and in a subgroup of 9 patients after 24 months. Data on cardiac function (electrocardiogram, echocardiogram, and cardiac MRI) were also collected.<br />Results and Conclusions: Among the clinical heterogeneity, a more severe involvement is often observed in patients with 45-X del, with a disease progression over two years. The 6MWT appears sensitive to detect modification from baseline during follow up while no variation was observed by MRC testing. Muscle MRI of the lower limbs correlates with clinical parameters.Our study further highlights how the phenotypic variability of BMD adult patients makes it difficult to describe an uniform course and substantiates the need to identify predictive parameters and biomarkers to stratify patients.

Details

Language :
English
ISSN :
2214-3602
Volume :
11
Issue :
2
Database :
MEDLINE
Journal :
Journal of neuromuscular diseases
Publication Type :
Academic Journal
Accession number :
38189759
Full Text :
https://doi.org/10.3233/JND-221513