Por favor, use este identificador para citar o enlazar a este item: http://hdl.handle.net/10261/124623
COMPARTIR / EXPORTAR:
logo share SHARE logo core CORE BASE
Visualizar otros formatos: MARC | Dublin Core | RDF | ORE | MODS | METS | DIDL | DATACITE

Invitar a revisión por pares abierta
Título

Quantitative analysis of proteins of metabolism by reverse phase protein microarrays identifies potential biomarkers of rare neuromuscular diseases

AutorSantacatterina, Fulvio CSIC ORCID; Chamorro, Margarita CSIC; Núñez de Arenas, Cristina CSIC ORCID; Navarro, Carmen CSIC; Martín, Miguel Ángel; Cuezva, José M. CSIC ORCID; Sánchez-Aragó, María CSIC
Fecha de publicación18-feb-2015
EditorBioMed Central
CitaciónJournal of Translational Medicine 13: 65 (2015)
ResumenMuscle diseases have been associated with changes in the expression of proteins involved in energy metabolism. To this aim we have developed a number of monoclonal antibodies against proteins of energy metabolism. Methods: Herein, we have used Reverse Phase Protein Microarrays (RPMA), a high throughput technique, to investigate quantitative changes in protein expression with the aim of identifying potential biomarkers in rare neuromuscular diseases. A cohort of 73 muscle biopsies that included samples from patients diagnosed of Duchenne (DMD), Becker (BMD), symptomatic forms of DMD and BMD in female carriers (Xp21 Carriers), Limb Girdle Muscular Dystrophy Type 2C (LGMD2C), neuronal ceroid lipofuscinosis (NCL), glycogenosis type V (Mc Ardle disease), isolated mitochondrial complex I deficiency, intensive care unit myopathy and control donors were investigated. The nineteen proteins of energy metabolism studied included members of the mitochondrial oxidation of pyruvate, the tricarboxylic acid cycle, ß-oxidation of fatty acids, electron transport and oxidative phosphorylation, glycogen metabolism, glycolysis and oxidative stress using highly specific antibodies. Results: The results indicate that the phenotype of energy metabolism offers potential biomarkers that could be implemented to refine the understanding of the biological principles of rare diseases and, eventually, the management of these patients. Conclusions: We suggest that some biomarkers of energy metabolism could be translated into the clinics to contribute to the improvement of the clinical handling of patients affected by rare diseases.
Versión del editorhttp://dx.doi.org/10.1186/s12967-015-0424-1
URIhttp://hdl.handle.net/10261/124623
DOI10.1186/s12967-015-0424-1
Identificadoresissn: 1479-5876
Aparece en las colecciones: (CBM) Artículos




Ficheros en este ítem:
Fichero Descripción Tamaño Formato
Cuezva JM Quantitative.pdf1,32 MBAdobe PDFVista previa
Visualizar/Abrir
Mostrar el registro completo

CORE Recommender

PubMed Central
Citations

13
checked on 17-abr-2024

SCOPUSTM   
Citations

21
checked on 15-abr-2024

WEB OF SCIENCETM
Citations

21
checked on 27-feb-2024

Page view(s)

336
checked on 18-abr-2024

Download(s)

252
checked on 18-abr-2024

Google ScholarTM

Check

Altmetric

Altmetric


Artículos relacionados:


Este item está licenciado bajo una Licencia Creative Commons Creative Commons