Literature DB >> 32025735

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

Roula Tsonaka1, Mirko Signorelli1,2, Ekrem Sabir2, Alexandre Seyer3, Kristina Hettne2, Annemieke Aartsma-Rus2, Pietro Spitali2.   

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

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Year:  2020        PMID: 32025735      PMCID: PMC7104681          DOI: 10.1093/hmg/ddz309

Source DB:  PubMed          Journal:  Hum Mol Genet        ISSN: 0964-6906            Impact factor:   6.150


  71 in total

1.  MicroRNAs involved in molecular circuitries relevant for the Duchenne muscular dystrophy pathogenesis are controlled by the dystrophin/nNOS pathway.

Authors:  Davide Cacchiarelli; Julie Martone; Erika Girardi; Marcella Cesana; Tania Incitti; Mariangela Morlando; Carmine Nicoletti; Tiziana Santini; Olga Sthandier; Laura Barberi; Alberto Auricchio; Antonio Musarò; Irene Bozzoni
Journal:  Cell Metab       Date:  2010-08-19       Impact factor: 27.287

2.  31P-NMR spectroscopy of skeletal muscle in Becker dystrophy and DMD/BMD carriers. Altered rate of phosphate transport.

Authors:  B Barbiroli; R Funicello; S Iotti; P Montagna; A Ferlini; P Zaniol
Journal:  J Neurol Sci       Date:  1992-06       Impact factor: 3.181

3.  Metabolic profile of dystrophic mdx mouse muscles analyzed with in vitro magnetic resonance spectroscopy (MRS).

Authors:  Aurea B Martins-Bach; Antonio C Bloise; Mariz Vainzof; Said Rahnamaye Rabbani
Journal:  Magn Reson Imaging       Date:  2012-06-04       Impact factor: 2.546

4.  Metabolic status of patients with muscular dystrophy in early phase of the disease: In vitro, high resolution NMR spectroscopy based metabolomics analysis of serum.

Authors:  Niraj Kumar Srivastava; Sanjay Annarao; Neeraj Sinha
Journal:  Life Sci       Date:  2016-02-28       Impact factor: 5.037

5.  Glutamine synthetase in muscle is required for glutamine production during fasting and extrahepatic ammonia detoxification.

Authors:  Youji He; Theodorus B M Hakvoort; S Eleonore Köhler; Jacqueline L M Vermeulen; D Rudi de Waart; Chiel de Theije; Gabrie A M ten Have; Hans M H van Eijk; Cindy Kunne; Wilhelmina T Labruyere; Sander M Houten; Milka Sokolovic; Jan M Ruijter; Nicolaas E P Deutz; Wouter H Lamers
Journal:  J Biol Chem       Date:  2010-01-11       Impact factor: 5.157

6.  Nuclear magnetic resonance studies of forearm muscle in Duchenne dystrophy.

Authors:  R J Newman; P J Bore; L Chan; D G Gadian; P Styles; D Taylor; G K Radda
Journal:  Br Med J (Clin Res Ed)       Date:  1982-04-10

7.  Correction: Discovery of Metabolic Biomarkers for Duchenne Muscular Dystrophy within a Natural History Study.

Authors:  Simina M Boca; Maki Nishida; Michael Harris; Shruti Rao; Amrita K Cheema; Kirandeep Gill; Difei Wang; Lin An; Robinder Gauba; Haeri Seol; Lauren P Morgenroth; Erik Henricson; Craig McDonald; Jean K Mah; Paula R Clemens; Eric P Hoffman; Yetrib Hathout; Subha Madhavan
Journal:  PLoS One       Date:  2016-07-19       Impact factor: 3.240

8.  Comprehensive RNA-Sequencing Analysis in Serum and Muscle Reveals Novel Small RNA Signatures with Biomarker Potential for DMD.

Authors:  Anna M L Coenen-Stass; Helena Sork; Sole Gatto; Caroline Godfrey; Amarjit Bhomra; Kaarel Krjutškov; Jonathan R Hart; Jakub O Westholm; Liz O'Donovan; Andreas Roos; Hanns Lochmüller; Pier Lorenzo Puri; Samir El Andaloussi; Matthew J A Wood; Thomas C Roberts
Journal:  Mol Ther Nucleic Acids       Date:  2018-08-17       Impact factor: 8.886

Review 9.  The "Usual Suspects": Genes for Inflammation, Fibrosis, Regeneration, and Muscle Strength Modify Duchenne Muscular Dystrophy.

Authors:  Luca Bello; Elena Pegoraro
Journal:  J Clin Med       Date:  2019-05-10       Impact factor: 4.241

10.  Metabolomic Analyses Reveal Extensive Progenitor Cell Deficiencies in a Mouse Model of Duchenne Muscular Dystrophy.

Authors:  Josiane Joseph; Dong Seong Cho; Jason D Doles
Journal:  Metabolites       Date:  2018-10-03
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  3 in total

Review 1.  Complexity of skeletal muscle degeneration: multi-systems pathophysiology and organ crosstalk in dystrophinopathy.

Authors:  Kay Ohlendieck; Dieter Swandulla
Journal:  Pflugers Arch       Date:  2021-09-22       Impact factor: 4.458

Review 2.  A Review on Differential Abundance Analysis Methods for Mass Spectrometry-Based Metabolomic Data.

Authors:  Zhengyan Huang; Chi Wang
Journal:  Metabolites       Date:  2022-03-30

3.  Platelet Derived Growth Factor-AA Correlates With Muscle Function Tests and Quantitative Muscle Magnetic Resonance in Dystrophinopathies.

Authors:  Alicia Alonso-Jiménez; Esther Fernández-Simón; Daniel Natera-de Benito; Carlos Ortez; Carme García; Elena Montiel; Izaskun Belmonte; Irene Pedrosa; Sonia Segovia; Patricia Piñol-Jurado; Ana Carrasco-Rozas; Xavier Suárez-Calvet; Cecilia Jimenez-Mallebrera; Andrés Nascimento; Jaume Llauger; Claudia Nuñez-Peralta; Paula Montesinos; Jorge Alonso-Pérez; Eduard Gallardo; Isabel Illa; Jordi Díaz-Manera
Journal:  Front Neurol       Date:  2021-06-11       Impact factor: 4.003

  3 in total

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