Cargando…
Quantitative analysis of proteins of metabolism by reverse phase protein microarrays identifies potential biomarkers of rare neuromuscular diseases
BACKGROUND: Muscle 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...
Autores principales: | , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2015
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4342896/ https://www.ncbi.nlm.nih.gov/pubmed/25880557 http://dx.doi.org/10.1186/s12967-015-0424-1 |
_version_ | 1782359338498654208 |
---|---|
author | Santacatterina, Fulvio Chamorro, Margarita de Arenas, Cristina Núñez Navarro, Carmen Martín, Miguel A Cuezva, José M Sánchez-Aragó, María |
author_facet | Santacatterina, Fulvio Chamorro, Margarita de Arenas, Cristina Núñez Navarro, Carmen Martín, Miguel A Cuezva, José M Sánchez-Aragó, María |
author_sort | Santacatterina, Fulvio |
collection | PubMed |
description | BACKGROUND: Muscle 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, β-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. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12967-015-0424-1) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-4342896 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-43428962015-02-28 Quantitative analysis of proteins of metabolism by reverse phase protein microarrays identifies potential biomarkers of rare neuromuscular diseases Santacatterina, Fulvio Chamorro, Margarita de Arenas, Cristina Núñez Navarro, Carmen Martín, Miguel A Cuezva, José M Sánchez-Aragó, María J Transl Med Research BACKGROUND: Muscle 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, β-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. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12967-015-0424-1) contains supplementary material, which is available to authorized users. BioMed Central 2015-02-18 /pmc/articles/PMC4342896/ /pubmed/25880557 http://dx.doi.org/10.1186/s12967-015-0424-1 Text en © Santacatterina et al.; licensee BioMed Central. 2015 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Santacatterina, Fulvio Chamorro, Margarita de Arenas, Cristina Núñez Navarro, Carmen Martín, Miguel A Cuezva, José M Sánchez-Aragó, María Quantitative analysis of proteins of metabolism by reverse phase protein microarrays identifies potential biomarkers of rare neuromuscular diseases |
title | Quantitative analysis of proteins of metabolism by reverse phase protein microarrays identifies potential biomarkers of rare neuromuscular diseases |
title_full | Quantitative analysis of proteins of metabolism by reverse phase protein microarrays identifies potential biomarkers of rare neuromuscular diseases |
title_fullStr | Quantitative analysis of proteins of metabolism by reverse phase protein microarrays identifies potential biomarkers of rare neuromuscular diseases |
title_full_unstemmed | Quantitative analysis of proteins of metabolism by reverse phase protein microarrays identifies potential biomarkers of rare neuromuscular diseases |
title_short | Quantitative analysis of proteins of metabolism by reverse phase protein microarrays identifies potential biomarkers of rare neuromuscular diseases |
title_sort | quantitative analysis of proteins of metabolism by reverse phase protein microarrays identifies potential biomarkers of rare neuromuscular diseases |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4342896/ https://www.ncbi.nlm.nih.gov/pubmed/25880557 http://dx.doi.org/10.1186/s12967-015-0424-1 |
work_keys_str_mv | AT santacatterinafulvio quantitativeanalysisofproteinsofmetabolismbyreversephaseproteinmicroarraysidentifiespotentialbiomarkersofrareneuromusculardiseases AT chamorromargarita quantitativeanalysisofproteinsofmetabolismbyreversephaseproteinmicroarraysidentifiespotentialbiomarkersofrareneuromusculardiseases AT dearenascristinanunez quantitativeanalysisofproteinsofmetabolismbyreversephaseproteinmicroarraysidentifiespotentialbiomarkersofrareneuromusculardiseases AT navarrocarmen quantitativeanalysisofproteinsofmetabolismbyreversephaseproteinmicroarraysidentifiespotentialbiomarkersofrareneuromusculardiseases AT martinmiguela quantitativeanalysisofproteinsofmetabolismbyreversephaseproteinmicroarraysidentifiespotentialbiomarkersofrareneuromusculardiseases AT cuezvajosem quantitativeanalysisofproteinsofmetabolismbyreversephaseproteinmicroarraysidentifiespotentialbiomarkersofrareneuromusculardiseases AT sanchezaragomaria quantitativeanalysisofproteinsofmetabolismbyreversephaseproteinmicroarraysidentifiespotentialbiomarkersofrareneuromusculardiseases |