4.3 Article

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

期刊

CONNECTIVE TISSUE RESEARCH
卷 62, 期 1, 页码 24-39

出版社

TAYLOR & FRANCIS INC
DOI: 10.1080/03008207.2020.1791103

关键词

Metabolomics; proteomics; transcriptomics; muscular dystrophy; fiber contractility

资金

  1. National Institute of Arthritis and Musculoskeletal and Skin Diseases [R01-AR063649]
  2. National Institute of Diabetes and Digestive and Kidney Diseases [U24-DK097153]

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This study utilized multiomic approaches to investigate the pathological changes in Duchenne muscular dystrophy at the transcriptome, proteome, metabolome, and lipidome levels. Despite gross pathological changes in muscles of mdx/mTR mice, there were no differences in muscle fiber contractility compared to wild type mice. There was a moderate agreement between the proteome and transcriptome but also significant differences, with notable changes in markers of muscle metabolism observed in dystrophic muscles.
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.

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