Secondary Bone Defect in Neuromuscular Diseases in Childhood: A Longitudinal "Muscle-Bone Unit" Analysis.

To evaluate the potential bone defect in neuromuscular diseases, we conducted a longitudinal study including three groups of patients: 14 Duchenne muscular dystrophies (DMD) and 2 limb-girdle muscular dystrophies (LGMD); 3 Becker muscular dystrophies (BeMD) and 7 spinal muscular atrophies (SMA). Yearly osteodensitometries assessed body composition and bone mineral density (BMD) associated with bone markers and leptin. Along the 7-year study, 107 osteodensitometries showed that bone status evolved to osteopenia in most patients except BeMD. When analyzing the crude values, BMD improved with age in BeMD and SMA but not in DMD/LGMD. The correlation using the Z-scores displayed a decrease in BMD with age in DMD/LGMD for all regions, in SMA at total body less head, whereas BMD increased in BeMD at lumbar spine. As observed in healthy persons, muscular mass and bone tissue were significantly correlated. Glucocorticoids were deleterious on trabecular and cortical bone. Leptin was high in most patients and correlated to fat mass and bone parameters. This study confirms a secondary bone defect in neuromuscular diseases, further confirming the functional relationship between bone and muscle and arguing for regular bone follow-up in patients to prevent fracture risk. Adipose tissue seems to interfere with bone remodeling in neuromuscular diseases.

[Phenotypic heterogeneity and phenotype-genotype correlations in dystrophinopathies: Contribution of genetic and clinical databases]. / Variabilité phénotypique et corrélations génotype-phénotype des dystrophinopathies : contribution des banques de données.

The objective of this work was to study the natural history of dystrophinopathies and the genotype-phenotype correlations made possible by the development of the clinical part of the French DMD database. The collection of 70,000 clinical data for 600 patients with an average longitudinal follow-up of 12years enabled clarification of the natural history of Duchenne and Becker muscular dystrophies and clinical presentations in symptomatic females. We were able to specify the phenotypic heterogeneity of motor, orthopedic and respiratory involvements (severe, standard and intermediary form), of the cardiac disorder (severe, standard or absent cardiomyopathy, absence of correlation between motor and cardiac involvements), and of brain function (mental deficiency in the patients with Becker muscular dystrophy, psychopathological disorders in dystrophinopathies). Phenotypic variability did not correlate with a specific mutational spectrum. We propose a model of phenotypic analysis based on the presence or not of muscular and cardiac involvements (described by age at onset and rate of progression) and brain involvement (described by the type and the severity of the cognitive impairment and of the psychological disorders). The methodology developed for the DMD gene can be generalized and used for other databases dedicated to genetic diseases. Application of this model of phenotypic analysis for each patient and further development of the database should contribute substantially to clinical research providing useful tools for future clinical trials.