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Article

Genomic and Proteomic Profiling Reveals Reduced Mitochondrial Function and Disruption of the Neuromuscular Junction Driving Rat Sarcopenia

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Pages 194-212 | Received 31 Jul 2012, Accepted 23 Oct 2012, Published online: 20 Mar 2023
 

Abstract

Molecular mechanisms underlying sarcopenia, the age-related loss of skeletal muscle mass and function, remain unclear. To identify molecular changes that correlated best with sarcopenia and might contribute to its pathogenesis, we determined global gene expression profiles in muscles of rats aged 6, 12, 18, 21, 24, and 27 months. These rats exhibit sarcopenia beginning at 21 months. Correlation of the gene expression versus muscle mass or age changes, and functional annotation analysis identified gene signatures of sarcopenia distinct from gene signatures of aging. Specifically, mitochondrial energy metabolism (e.g., tricarboxylic acid cycle and oxidative phosphorylation) pathway genes were the most downregulated and most significantly correlated with sarcopenia. Also, perturbed were genes/pathways associated with neuromuscular junction patency (providing molecular evidence of sarcopenia-related functional denervation and neuromuscular junction remodeling), protein degradation, and inflammation. Proteomic analysis of samples at 6, 18, and 27 months confirmed the depletion of mitochondrial energy metabolism proteins and neuromuscular junction proteins. Together, these findings suggest that therapeutic approaches that simultaneously stimulate mitochondrogenesis and reduce muscle proteolysis and inflammation have potential for treating sarcopenia.

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Article of Significant Interest Selected from This Issue by the Editors

SUPPLEMENTAL MATERIAL

Supplemental material for this article may be found at http://dx.doi.org/10.1128/MCB.01036-12.

ACKNOWLEDGMENTS

We thank the Muscle Diseases Group at the Novartis Institutes for Biomedical Research (NIBR) for their enthusiastic support, along with the rest of the NIBR community, and in particular Mark Fishman, Brian Richardson, and Andrew Mackenzie. We also thank Nicole Hartmann of the Novartis Genomics Factory for performing the microarray hybridization experiment and Wilfried Frieauff for the internal software tool (ROBIAS ASTORIA).

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