Evidence map›Paper›PMID 28575008›Full record

ArticlePloS one2017

Plasma metabolome and skin proteins in Charcot-Marie-Tooth 1A patients.

Beatriz Soldevilla, Carmen Cuevas-Martín, Clara Ibáñez, Fulvio Santacatterina, María A Alberti, Carolina Simó, Carlos Casasnovas, Celedonio Márquez-Infante, Teresa Sevilla, Samuel I Pascual and 4 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
0.7field-weighted citation impact, top 36% 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

12 citing papers in PubMed, 17 citations in OpenAlex.

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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

14 authors at 6 institutions in 1 country.

Beatriz SoldevillaDepartamento de Biología Molecular, Centro de Biología Molecular Severo Ochoa, Consejo Superior de Investigaciones Científicas-Universidad Autónoma de Madrid (CSIC-UAM), Madrid, Spain.
Carmen Cuevas-MartínDepartamento de Biología Molecular, Centro de Biología Molecular Severo Ochoa, Consejo Superior de Investigaciones Científicas-Universidad Autónoma de Madrid (CSIC-UAM), Madrid, Spain.
Clara IbáñezInstituto de Investigación en Ciencias de la Alimentación, Consejo Superior de Investigaciones Científicas (CIAL-CSIC), Madrid, Spain.
Fulvio SantacatterinaDepartamento de Biología Molecular, Centro de Biología Molecular Severo Ochoa, Consejo Superior de Investigaciones Científicas-Universidad Autónoma de Madrid (CSIC-UAM), Madrid, Spain.
María A AlbertiUnidad Neuromuscular, IIS Hospital Universitario de Bellvitge, IDIBELL, l'Hospitalet de Llobegrat, Spain.
Carolina SimóInstituto de Investigación en Ciencias de la Alimentación, Consejo Superior de Investigaciones Científicas (CIAL-CSIC), Madrid, Spain.
Carlos CasasnovasUnidad Neuromuscular, IIS Hospital Universitario de Bellvitge, IDIBELL, l'Hospitalet de Llobegrat, Spain.
Celedonio Márquez-InfanteServicio de Neurología y Neurofisiología, IIS Hospital Universitario Virgen del Rocío, Sevilla, Spain.
Teresa SevillaCentro de Investigación Biomédica en Red de Enfermedades Raras CIBERER-ISCIII, Madrid, Spain.
Samuel I PascualIIS Hospital Universitario La Paz, IDIPAZ, Madrid, Spain.
María Sánchez-AragóDepartamento de Biología Molecular, Centro de Biología Molecular Severo Ochoa, Consejo Superior de Investigaciones Científicas-Universidad Autónoma de Madrid (CSIC-UAM), Madrid, Spain.
Carmen EspinosCentro de Investigación Biomédica en Red de Enfermedades Raras CIBERER-ISCIII, Madrid, Spain.
Francesc PalauCentro de Investigación Biomédica en Red de Enfermedades Raras CIBERER-ISCIII, Madrid, Spain.
José M CuezvaDepartamento de Biología Molecular, Centro de Biología Molecular Severo Ochoa, Consejo Superior de Investigaciones Científicas-Universidad Autónoma de Madrid (CSIC-UAM), Madrid, Spain.ORCID http://orcid.org/0000-0003-1118-248X
Consejo Superior de Investigaciones Científicas · ESBellvitge University Hospital · ESInstituto de Salud Carlos III · ESHospital Universitario La Paz · ESHospital Universitario Virgen del Rocío · ESUniversitat de València · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveCharcot-Marie-Tooth 1A (CMT1A) disease is the most common inherited neuropathy that lacks of therapy and of molecular markers to assess disease severity. Herein, we have pursued the identification of potential biomarkers in plasma samples and skin biopsies that could define the phenotype of CMT1A patients at mild (Mi), moderate (Mo) and severe (Se) stages of disease as assessed by the CMT neuropathy score to contribute to the understanding of CMT pathophysiology and eventually inform of the severity of the disease.

methodsWe have used: (i) a high-throughput untargeted metabolomic approach of plasma samples in a cohort of 42 CMT1A patients and 15 healthy controls (CRL) using ultrahigh liquid chromatography coupled to mass spectrometry and (ii) reverse phase protein microarrays to quantitate the expression of some proteins of energy metabolism and of the antioxidant response in skin biopsies of a cohort of 70 CMT1A patients and 13 healthy controls.

resultsThe metabolomic approach identified 194 metabolites with significant differences among the four groups (Mi, Mo, Se, CRL) of samples. A multivariate Linear Discriminant Analysis model using 12 metabolites afforded the correct classification of the samples. These metabolites indicate an increase in protein catabolism and the mobilization of membrane lipids involved in signaling inflammation with severity of CMT1A. A concurrent depletion of leucine, which is required for the biogenesis of the muscle, is also observed in the patients. Protein expression in skin biopsies indicates early loss of mitochondrial and antioxidant proteins in patients' biopsies.

conclusionThe findings indicate that CMT1A disease is associated with a metabolic state resembling inflammation and sarcopenia suggesting that it might represent a potential target to prevent the nerve and muscle wasting phenotype in these patients. The observed changes in metabolites could be useful as potential biomarkers of CMT1A disease after appropriate validation in future longitudinal studies.

Indexed as

MetabolomeAdultBiomarkersCharcot-Marie-Tooth DiseaseEnergy MetabolismHumansMetabolomicsMiddle AgedProspective StudiesProteinsSkinBiomarkersProteins

Identifiers

PMID28575008
PMCPMC5456076
OpenAlexW2620659966

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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.