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Assessment of disease activity in muscular dystrophies by noninvasive imaging.

ABSTRACT: Muscular dystrophies are a class of disorders that cause progressive muscle wasting. A major hurdle for discovering treatments for the muscular dystrophies is a lack of reliable assays to monitor disease progression in animal models. We have developed a novel mouse model to assess disease activity noninvasively in mice with muscular dystrophies. These mice express an inducible luciferase reporter gene in muscle stem cells. In dystrophic mice, muscle stem cells activate and proliferate in response to muscle degeneration, resulting in an increase in the level of luciferase expression, which can be monitored by noninvasive, bioluminescence imaging. We applied this noninvasive imaging to assess disease activity in a mouse model of the human disease limb girdle muscular dystrophy 2B (LGMD2B), caused by a mutation in the dysferlin gene. We monitored the natural history and disease progression in these dysferlin-deficient mice up to 18 months of age and were able to detect disease activity prior to the appearance of any overt disease manifestation by histopathological analyses. Disease activity was reflected by changes in luciferase activity over time, and disease burden was reflected by cumulative luciferase activity, which paralleled disease progression as determined by histopathological analysis. The ability to monitor disease activity noninvasively in mouse models of muscular dystrophy will be invaluable for the assessment of disease progression and the effectiveness of therapeutic interventions.

SUBMITTER: Maguire KK

PROVIDER: S-EPMC3638910 | biostudies-literature |

REPOSITORIES: biostudies-literature

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Project description:ObjectiveThe North Star Assessment for limb-girdle type muscular dystrophies (NSAD), a clinician-reported outcome measure (ClinRO) of motor performance, was initially developed and validated for use in dysferlinopathy, an autosomal recessive form of limb-girdle muscular dystrophy (LGMD R2/2B). Recent developments in treatments for limb-girdle muscular dystrophies (LGMD) have highlighted the urgent need for disease-specific ClinROs. The purpose of this study was to understand the ability of the NSAD to quantify motor function across the broad spectrum of LGMD phenotypes.MethodsAssessments of 130 individuals with LGMD evaluated by the physical therapy teams at Nationwide Children's Hospital and the John Walton Muscular Dystrophy Research Centre were included in the analysis. NSAD, 100-m timed test (100MTT), and Performance of Upper Limb 2.0 assessment data were collected. Psychometric analysis with Rasch measurement methods was used to examine the NSAD for suitability and robustness by determining the extent to which the observed data "fit" with predictions of those ratings from the Rasch model. The NSAD score was correlated with the 100MTT and Performance of Upper Limb 2.0 assessment scores for external construct validity.ResultsThe NSAD demonstrated a good spread of items covering a continuum of abilities across both individuals who had LGMD and were ambulatory and individuals who had LGMD and were weaker and nonambulatory. Items fit well with the construct measured, validating a summed total score. The NSAD had excellent interrater reliability [intraclass correlation coefficient (ICC) = 0.986, 95% CI = 0.981-0.991] and was highly correlated with the 100MTT walk/run velocity (Spearman rho correlation coefficient of rs(134) = .92).ConclusionAlthough LGMD subtypes may differ in age of onset, rate of progression, and patterns of muscle weakness, the overall impact of progressive muscle weakness on motor function is similar. The NSAD is a reliable and valid ClinRO of motor performance for individuals with LGMD and is suitable for use in clinical practice and research settings.ImpactRecent developments in potential pharmacological treatments for LGMD have highlighted the urgent need for disease-specific outcome measures. Validated and meaningful outcome measures are necessary to capture disease presentation, to inform expected rates of progression, and as endpoints for measuring the response to interventions in clinical trials. The NSAD, a scale of motor performance for both individuals who have LGMD and are ambulatory and those who are nonambulatory, is suitable for use in clinical and research settings.

Project description:BackgroundAnalysis of muscle biopsies allowed to characterize the pathophysiological changes of Duchenne and Becker muscular dystrophies (D/BMD) leading to the clinical phenotype. Muscle tissue is often investigated during interventional dose finding studies to show in situ proof of concept and pharmacodynamics effect of the tested drug. Less invasive readouts are needed to objectively monitor patients' health status, muscle quality, and response to treatment. The identification of serum biomarkers correlating with clinical function and able to anticipate functional scales is particularly needed for personalized patient management and to support drug development programs.MethodsA large-scale proteomic approach was used to identify serum biomarkers describing pathophysiological changes (e.g. loss of muscle mass), association with clinical function, prediction of disease milestones, association with in vivo 31 P magnetic resonance spectroscopy data and dystrophin levels in muscles. Cross-sectional comparisons were performed to compare DMD patients, BMD patients, and healthy controls. A group of DMD patients was followed up for a median of 4.4 years to allow monitoring of individual disease trajectories based on yearly visits.ResultsCross-sectional comparison enabled to identify 10 proteins discriminating between healthy controls, DMD and BMD patients. Several proteins (285) were able to separate DMD from healthy, while 121 proteins differentiated between BMD and DMD; only 13 proteins separated BMD and healthy individuals. The concentration of specific proteins in serum was significantly associated with patients' performance (e.g. BMP6 serum levels and elbow flexion) or dystrophin levels (e.g. TIMP2) in BMD patients. Analysis of longitudinal trajectories allowed to identify 427 proteins affected over time indicating loss of muscle mass, replacement of muscle by adipose tissue, and cardiac involvement. Over-representation analysis of longitudinal data allowed to highlight proteins that could be used as pharmacodynamic biomarkers for drugs currently in clinical development.ConclusionsSerum proteomic analysis allowed to not only discriminate among DMD, BMD, and healthy subjects, but it enabled to detect significant associations with clinical function, dystrophin levels, and disease progression.

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Assessment of disease activity in muscular dystrophies by noninvasive imaging.

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