Literature DB >> 32664808

Multiomics analysis of the mdx/mTR mouse model of Duchenne muscular dystrophy.

Douglas W Van Pelt1, Yalda A Kharaz2, Dylan C Sarver3, Logan R Eckhardt3, Justin T Dzierzawski3, Nathaniel P Disser4, Alex N Piacentini4, Eithne Comerford2, Brian McDonagh5, Christopher L Mendias3,4,6.   

Abstract

PURPOSE/AIM: Duchenne muscular dystrophy (DMD) is a progressive neuromuscular disease characterized by extensive muscle weakness. Patients with DMD lack a functional dystrophin protein, which transmits force and organizes the cytoskeleton of skeletal muscle. Multiomic studies have been proposed as a way to obtain novel insight about disease processes from preclinical models, and we used this approach to study pathological changes in dystrophic muscles.
MATERIALS AND METHODS: We evaluated hindlimb muscles of male mdx/mTR mice, which lack a functional dystrophin protein and have deficits in satellite cell abundance and proliferative capacity. Wild type (WT) C57BL/6 J mice served as controls. Muscle fiber contractility was measured, along with changes in the transcriptome using RNA sequencing, and in the proteome, metabolome, and lipidome using mass spectrometry.
RESULTS: While mdx/mTR mice displayed gross pathological changes and continued cycles of degeneration and regeneration, we found no differences in permeabilized fiber contractility between strains. However, there were numerous changes in the transcriptome and proteome related to protein balance, contractile elements, extracellular matrix, and metabolism. There was only a 53% agreement in fold-change data between the proteome and transcriptome. Numerous changes in markers of skeletal muscle metabolism were observed, with dystrophic muscles exhibiting elevated glycolytic metabolites such as 6-phosphoglycerate, fructose-6-phosphate and glucose-6-phosphate, fructose bisphosphate, phosphorylated hexoses, and phosphoenolpyruvate.
CONCLUSIONS: These findings highlight the utility of multiomics in studying muscle disease, and provide additional insight into the pathological changes in dystrophic muscles that might help to indirectly guide evidence-based nutritional or exercise prescription in DMD patients.

Entities:  

Keywords:  Metabolomics; fiber contractility; muscular dystrophy; proteomics; transcriptomics

Mesh:

Substances:

Year:  2020        PMID: 32664808     DOI: 10.1080/03008207.2020.1791103

Source DB:  PubMed          Journal:  Connect Tissue Res        ISSN: 0300-8207            Impact factor:   3.417


  6 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

2.  Degenerative and regenerative pathways underlying Duchenne muscular dystrophy revealed by single-nucleus RNA sequencing.

Authors:  Francesco Chemello; Zhaoning Wang; Hui Li; John R McAnally; Ning Liu; Rhonda Bassel-Duby; Eric N Olson
Journal:  Proc Natl Acad Sci U S A       Date:  2020-11-04       Impact factor: 11.205

3.  Muscle metabolic remodelling patterns in Duchenne muscular dystrophy revealed by ultra-high-resolution mass spectrometry imaging.

Authors:  Ivana Dabaj; Justine Ferey; Florent Marguet; Vianney Gilard; Carole Basset; Youssef Bahri; Anne-Claire Brehin; Catherine Vanhulle; France Leturcq; Stéphane Marret; Annie Laquerrière; Isabelle Schmitz-Afonso; Carlos Afonso; Soumeya Bekri; Abdellah Tebani
Journal:  Sci Rep       Date:  2021-01-21       Impact factor: 4.379

4.  The Failed Clinical Story of Myostatin Inhibitors against Duchenne Muscular Dystrophy: Exploring the Biology behind the Battle.

Authors:  Emma Rybalka; Cara A Timpani; Danielle A Debruin; Ryan M Bagaric; Dean G Campelj; Alan Hayes
Journal:  Cells       Date:  2020-12-10       Impact factor: 6.600

Review 5.  Treating Duchenne Muscular Dystrophy: The Promise of Stem Cells, Artificial Intelligence, and Multi-Omics.

Authors:  Carlos D Vera; Angela Zhang; Paul D Pang; Joseph C Wu
Journal:  Front Cardiovasc Med       Date:  2022-03-10

6.  Mass Spectrometric Profiling of Extraocular Muscle and Proteomic Adaptations in the mdx-4cv Model of Duchenne Muscular Dystrophy.

Authors:  Stephen Gargan; Paul Dowling; Margit Zweyer; Jens Reimann; Michael Henry; Paula Meleady; Dieter Swandulla; Kay Ohlendieck
Journal:  Life (Basel)       Date:  2021-06-22
  6 in total

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