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


Journal

Human molecular genetics
ISSN: 1460-2083
Titre abrégé: Hum Mol Genet
Pays: England
ID NLM: 9208958

Informations de publication

Date de publication:
27 03 2020
Historique:
received: 18 10 2019
revised: 26 11 2019
accepted: 16 12 2019
pubmed: 7 2 2020
medline: 6 7 2021
entrez: 7 2 2020
Statut: ppublish

Résumé

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.

Identifiants

pubmed: 32025735
pii: 5698697
doi: 10.1093/hmg/ddz309
pmc: PMC7104681
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

745-755

Informations de copyright

© The Author(s) 2020. Published by Oxford University Press.

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Auteurs

Roula Tsonaka (R)

Biomedical Data Sciences, Leiden University Medical Center, Leiden 2333 ZC, The Netherlands.

Mirko Signorelli (M)

Biomedical Data Sciences, Leiden University Medical Center, Leiden 2333 ZC, The Netherlands.
Department of Human Genetics, Leiden University Medical Center, Leiden 2333 ZC, The Netherlands.

Ekrem Sabir (E)

Department of Human Genetics, Leiden University Medical Center, Leiden 2333 ZC, The Netherlands.

Alexandre Seyer (A)

Profilomic SA, Boulogne-Billancourt 92100, France.

Kristina Hettne (K)

Department of Human Genetics, Leiden University Medical Center, Leiden 2333 ZC, The Netherlands.

Annemieke Aartsma-Rus (A)

Department of Human Genetics, Leiden University Medical Center, Leiden 2333 ZC, The Netherlands.

Pietro Spitali (P)

Department of Human Genetics, Leiden University Medical Center, Leiden 2333 ZC, The Netherlands.

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