Evidence map›Paper›PMID 29441734›Full record

ArticleJournal of cellular and molecular medicine2018

Cross-sectional serum metabolomic study of multiple forms of muscular dystrophy.

Pietro Spitali, Kristina Hettne, Roula Tsonaka, Ekrem Sabir, Alexandre Seyer, Jesse B A Hemerik, Jelle J Goeman, Esther Picillo, Manuela Ergoli, Luisa Politano and 1 more

Abstract read
In one paragraph

Article in Journal of cellular and molecular medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed
–field-weighted citation impact
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

32 citing papers in PubMed.

  1. Trial
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  17. Science advances · 2022
    Article
  18. Biomarkers in Duchenne Muscular Dystrophy.Current heart failure reports · 2022
    Review
  19. Review
  20. Article
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

11 authors.

Pietro SpitaliDepartment of Human Genetics, Leiden University Medical Center, Leiden, The Netherlands.ORCID 0000-0003-2783-688X
Kristina HettneDepartment of Human Genetics, Leiden University Medical Center, Leiden, The Netherlands.
Roula TsonakaDepartment of Medical Statistics and Bioinformatics, Leiden University Medical Center, Leiden, The Netherlands.
Ekrem SabirDepartment of Human Genetics, Leiden University Medical Center, Leiden, The Netherlands.
Alexandre SeyerProfilomic SA, Boulogne-Billancourt, France.
Jesse B A HemerikDepartment of Medical Statistics and Bioinformatics, Leiden University Medical Center, Leiden, The Netherlands.
Jelle J GoemanDepartment of Medical Statistics and Bioinformatics, Leiden University Medical Center, Leiden, The Netherlands.
Esther PicilloCardiomyology and Medical Genetics, Department of Experimental Medicine, University of Campania "Luigi Vanvitelli", Naples, Italy.
Manuela ErgoliCardiomyology and Medical Genetics, Department of Experimental Medicine, University of Campania "Luigi Vanvitelli", Naples, Italy.
Luisa PolitanoCardiomyology and Medical Genetics, Department of Experimental Medicine, University of Campania "Luigi Vanvitelli", Naples, Italy.
Annemieke Aartsma-RusDepartment of Human Genetics, Leiden University Medical Center, Leiden, The Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Muscular dystrophies are characterized by a progressive loss of muscle tissue and/or muscle function. While metabolic alterations have been described in patients'-derived muscle biopsies, non-invasive readouts able to describe these alterations are needed in order to objectively monitor muscle condition and response to treatment targeting metabolic abnormalities. We used a metabolomic approach to study metabolites concentration in serum of patients affected by multiple forms of muscular dystrophy such as Duchenne and Becker muscular dystrophies, limb-girdle muscular dystrophies type 2A and 2B, myotonic dystrophy type 1 and facioscapulohumeral muscular dystrophy. We show that 15 metabolites involved in energy production, amino acid metabolism, testosterone metabolism and response to treatment with glucocorticoids were differentially expressed between healthy controls and Duchenne patients. Five metabolites were also able to discriminate other forms of muscular dystrophy. In particular, creatinine and the creatine/creatinine ratio were significantly associated with Duchenne patients performance as assessed by the 6-minute walk test and north star ambulatory assessment. The obtained results provide evidence that metabolomics analysis of serum samples can provide useful information regarding muscle condition and response to treatment, such as to glucocorticoids treatment.

Indexed as

MetabolomicsAdolescentAdultFemaleHumansMaleMiddle AgedMusclesMuscular DystrophiesMuscular Dystrophies, Limb-GirdleMuscular Dystrophy, DuchenneMuscular Dystrophy, FacioscapulohumeralMyotonic DystrophyYoung AdultbiomarkersDuchenne muscular dystrophymetabolomicsmuscular dystrophy

Identifiers

PMID29441734
PMCPMC5867073

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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.