ArticleConnective tissue research2021
Multiomics analysis of the mdx/mTR mouse model of Duchenne muscular dystrophy.
Article in Connective tissue research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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Who cites it
14 citing papers in PubMed, 18 citations in OpenAlex.
- How Can Proteomics Help to Elucidate the Pathophysiological Crosstalk in Muscular Dystrophy and Associated Multi-System Dysfunction?Proteomes · 2024Article
- Proteome Profiling of the DystrophicBiomolecules · 2023Article
- Proteomic profiling of impaired excitation-contraction coupling and abnormal calcium handling in muscular dystrophy.Proteomics · 2022Review
- Ketogenic diet containing medium-chain triglyceride ameliorates transcriptome disruption in skeletal muscles of rat models of duchenne muscular dystrophy.Biochemistry and biophysics reports · 2022Article
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- Identification of immune-related features involved in Duchenne muscular dystrophy: A bidirectional transcriptome and proteome-driven analysis.Frontiers in immunology · 2022Article
- Treating Duchenne Muscular Dystrophy: The Promise of Stem Cells, Artificial Intelligence, and Multi-Omics.Frontiers in cardiovascular medicine · 2022Review
- Complexity of skeletal muscle degeneration: multi-systems pathophysiology and organ crosstalk in dystrophinopathy.Pflugers Archiv : European journal of physiology · 2021Review
- Multiomic Approaches to Uncover the Complexities of Dystrophin-Associated Cardiomyopathy.International journal of molecular sciences · 2021Review
- Mass Spectrometric Profiling of Extraocular Muscle and Proteomic Adaptations in theLife (Basel, Switzerland) · 2021Article
- Article
- Article
- Degenerative and regenerative pathways underlying Duchenne muscular dystrophy revealed by single-nucleus RNA sequencing.Proceedings of the National Academy of Sciences of the United States of America · 2020Article
- Molecular Phenotyping of White Striping and Wooden Breast Myopathies in Chicken.Frontiers in physiology · 2020Article
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Authors and funding
10 authors at 5 institutions in 3 countries.
Funding
Abstract
PURPOSE/
aimDuchenne 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
methodsWe 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.
resultsWhile 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.
conclusionsThese 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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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 Socratic graph.