Evidence map›Paper›PMID 32025735›Full record

ArticleHuman molecular genetics2020

Longitudinal metabolomic analysis of plasma enables modeling disease progression in Duchenne muscular dystrophy mouse models.

Roula Tsonaka, Mirko Signorelli, Ekrem Sabir, Alexandre Seyer, Kristina Hettne, Annemieke Aartsma-Rus, Pietro Spitali

Open access · bronzeAbstract read
In one paragraph

Article in Human molecular genetics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
1.0field-weighted citation impact, top 23% 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

19 citing papers in PubMed, 28 citations in OpenAlex.

  1. Article
  2. Article
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  4. Improvement of Spontaneous Locomotor Activity in a Murine Model of Duchenne Muscular Dystrophy by N-Acetylglucosamine Alone and in Combination With Prednisolone.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2025
    Article
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  10. Article
  11. Review
  12. Article
  13. Biomarkers in Duchenne Muscular Dystrophy.Current heart failure reports · 2022
    Review
  14. Review
  15. Review
  16. Article
  17. Article
  18. Article
  19. Circulating Biomarkers in Muscular Dystrophies: Disease and Therapy Monitoring.Molecular therapy. Methods & clinical development · 2020
    Review
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 1 institution in 1 country.

Roula TsonakaBiomedical Data Sciences, Leiden University Medical Center, Leiden 2333 ZC, The Netherlands.
Mirko SignorelliBiomedical Data Sciences, Leiden University Medical Center, Leiden 2333 ZC, The Netherlands.
Ekrem SabirDepartment of Human Genetics, Leiden University Medical Center, Leiden 2333 ZC, The Netherlands.
Alexandre SeyerProfilomic SA, Boulogne-Billancourt 92100, France.
Kristina HettneDepartment of Human Genetics, Leiden University Medical Center, Leiden 2333 ZC, The Netherlands.
Annemieke Aartsma-RusDepartment of Human Genetics, Leiden University Medical Center, Leiden 2333 ZC, The Netherlands.
Pietro SpitaliDepartment of Human Genetics, Leiden University Medical Center, Leiden 2333 ZC, The Netherlands.
Leiden University Medical Center · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Duchenne muscular dystrophy is a severe pediatric neuromuscular disorder caused by the lack of dystrophin. Identification of biomarkers is needed to support and accelerate drug development. Alterations of metabolites levels in muscle and plasma have been reported in pre-clinical and clinical cross-sectional comparisons. We present here a 7-month longitudinal study comparing plasma metabolomic data in wild-type and mdx mice. A mass spectrometry approach was used to study metabolites in up to five time points per mouse at 6, 12, 18, 24 and 30 weeks of age, providing an unprecedented in depth view of disease trajectories. A total of 106 metabolites were studied. We report a signature of 31 metabolites able to discriminate between healthy and disease at various stages of the disease, covering the acute phase of muscle degeneration and regeneration up to the deteriorating phase. We show how metabolites related to energy production and chachexia (e.g. glutamine) are affected in mdx mice plasma over time. We further show how the signature is connected to molecular targets of nutraceuticals and pharmaceutical compounds currently in development as well as to the nitric oxide synthase pathway (e.g. arginine and citrulline). Finally, we evaluate the signature in a second longitudinal study in three independent mouse models carrying 0, 1 or 2 functional copies of the dystrophin paralog utrophin. In conclusion, we report an in-depth metabolomic signature covering previously identified associations and new associations, which enables drug developers to peripherally assess the effect of drugs on the metabolic status of dystrophic mice.

Indexed as

Disease Models, AnimalMetabolomeAnimalsCross-Sectional StudiesDisease ProgressionLongitudinal StudiesMiceMice, Inbred mdxMuscle, SkeletalMuscular Dystrophy, Duchenne

Identifiers

PMID32025735
PMCPMC7104681
OpenAlexW3005260507

What OpenQuestion holds

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LicenceCC BY-NC
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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.