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Identification of Potential Muscle Biomarkers in McArdle Disease: Insights from Muscle Proteome Analysis
Authors:Ins García-Consuegra  Sara Asensio-Pea  Rocío Garrido-Moraga  Toms Pins  Cristina Domínguez-Gonzlez  Alfredo Santalla  Gisela Nogales-Gadea  Pablo Serrano-Lorenzo  Antoni L Andreu  Joaquín Arenas  Jos L Zugaza  Alejandro Lucia  Miguel A Martín
Abstract:Glycogen storage disease type V (GSDV, McArdle disease) is a rare genetic myopathy caused by deficiency of the muscle isoform of glycogen phosphorylase (PYGM). This results in a block in the use of muscle glycogen as an energetic substrate, with subsequent exercise intolerance. The pathobiology of GSDV is still not fully understood, especially with regard to some features such as persistent muscle damage (i.e., even without prior exercise). We aimed at identifying potential muscle protein biomarkers of GSDV by analyzing the muscle proteome and the molecular networks associated with muscle dysfunction in these patients. Muscle biopsies from eight patients and eight healthy controls showing none of the features of McArdle disease, such as frequent contractures and persistent muscle damage, were studied by quantitative protein expression using isobaric tags for relative and absolute quantitation (iTRAQ) followed by artificial neuronal networks (ANNs) and topology analysis. Protein candidate validation was performed by Western blot. Several proteins predominantly involved in the process of muscle contraction and/or calcium homeostasis, such as myosin, sarcoplasmic/endoplasmic reticulum calcium ATPase 1, tropomyosin alpha-1 chain, troponin isoforms, and alpha-actinin-3, showed significantly lower expression levels in the muscle of GSDV patients. These proteins could be potential biomarkers of the persistent muscle damage in the absence of prior exertion reported in GSDV patients. Further studies are needed to elucidate the molecular mechanisms by which PYGM controls the expression of these proteins.
Keywords:PYGM  myophosphorylase  proteomics  McArdle disease  GSDV  iTRAQ  skeletal muscle  metabolic myopathy  protein biomarkers
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