Evidence map›Paper›PMID 25880557›Full record

ArticleJournal of translational medicine2015

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

Fulvio Santacatterina, Margarita Chamorro, Cristina Núñez de Arenas, Carmen Navarro, Miguel A Martín, José M Cuezva, María Sánchez-Aragó

Open access · goldAbstract read
In one paragraph

Article in Journal of translational medicine, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
2.0field-weighted citation impact, top 14% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

13 citing papers in PubMed, 23 citations in OpenAlex.

  1. Review
  2. Article
  3. Reducing sarcolipin expression improves muscle metabolism inAmerican journal of physiology. Cell physiology · 2022
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  6. Biomarkers in Glycogen Storage Diseases: An Update.International journal of molecular sciences · 2021
    Review
  7. Skeletal muscle: A review of molecular structure and function, in health and disease.Wiley interdisciplinary reviews. Systems biology and medicine · 2020
    Review
  8. Article
  9. Article
  10. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 5 institutions in 1 country.

Fulvio SantacatterinaDepartamento de Biología Molecular, Centro de Biología Molecular, c/ Nicolás Cabrera 1, Universidad Autónoma de Madrid, 28049, Madrid, Spain. fsantacatterina@cbm.csic.es.
Margarita ChamorroDepartamento de Biología Molecular, Centro de Biología Molecular, c/ Nicolás Cabrera 1, Universidad Autónoma de Madrid, 28049, Madrid, Spain. mchamorro@cbm.csic.es.
Cristina Núñez de ArenasDepartamento de Biología Molecular, Centro de Biología Molecular, c/ Nicolás Cabrera 1, Universidad Autónoma de Madrid, 28049, Madrid, Spain. cnunez@cbm.csic.es.
Carmen NavarroInstituto de Investigación Biomédico de Vigo (IBIV), Hospital Universitario de Vigo, Meixoeiro, 36200, Vigo, Spain. carmen.navarro.fernandez.balbuena@sergas.es.
Miguel A MartínCentro de Investigación Biomédica en Red de Enfermedades Raras (CIBERER), Madrid, Spain. mamcasanueva.h12o@gmail.com.
José M CuezvaDepartamento de Biología Molecular, Centro de Biología Molecular, c/ Nicolás Cabrera 1, Universidad Autónoma de Madrid, 28049, Madrid, Spain. jmcuezva@cbm.csic.es.
María Sánchez-AragóDepartamento de Biología Molecular, Centro de Biología Molecular, c/ Nicolás Cabrera 1, Universidad Autónoma de Madrid, 28049, Madrid, Spain. msanchez@cbm.csic.es.
Centro de Biología Molecular Severo Ochoa · ESUniversidad Autónoma de Madrid · ESCentre for Biomedical Network Research on Rare Diseases · ESCentro de Investigación Biomédica en Red · ESUniversity Hospital Complex Of Vigo · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMuscle 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.

methodsHerein, 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.

resultsThe 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.

conclusionsWe 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.

Indexed as

Energy MetabolismAnimalsAntibodiesBiomarkersBiopsyFemaleHumansMaleMice, Inbred BALB CMusclesNeuromuscular DiseasesProtein Array AnalysisProteomicsRare DiseasesReproducibility of ResultsAntibodiesBiomarkers

Identifiers

PMID25880557
PMCPMC4342896
OpenAlexW2147931742

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.