Duchenne muscular dystrophy (DMD) is a severe, X-linked disease, affecting 1:5000
males, and characterized by progressive muscle weakness and muscle mass loss in children.
Genetic and biochemical research over the years has led to the characterization of
the genetic cause and pathophysiology of the disease. Moreover, the elucidation of
genetic mechanisms underlining Duchenne muscular dystrophy has allowed the design
of innovative personalized molecular therapies. The identification of specific, accurate,
and sensitive biomarkers is becoming crucial for evaluating muscle disease progression
and response to therapies, for disease monitoring, and to accelerate drug development
and related regulatory processes. Several exploratory biomarkers have been discovered
by analyzing DMD patients' cohorts and provided clues about tissue or fluid proteins
and RNA biomarkers (Table 1), as well as allowed the identification of SNPs acting
as DMD genetic modifiers (Table 2). Nevertheless, challenges were encountered in translating
biomarkers into the clinical context and many bottlenecks still exist, hampering their
adoption as surrogate endpoints. These issues could be overcome by national and international
collaborative efforts, multicenter data sharing, and by the creation of large cohorts
of patients as well as by the application of novel statistical tools, that can be
effective also when patient numbers are small. Being DMD a Mendelian disease, building
up “biomarker heatmaps” might help making multiple biomarkers applicable to clinical
practice and possibly to clinical trials.
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