The influence of nutrients on mechanical overload-induced changes to skeletal muscle mRNA content.

Physiol Genomics

Department of Nutrition and Integrative Physiology, Florida State University, Tallahassee, Florida.

Published: September 2022

Mechanical overload and nutrients influence skeletal muscle phenotype, with the combination sometimes having a synergistic effect. Muscle phenotypes influenced by these stimuli are mediated in part by changes to the muscle mRNA signature. However, the mechanical overload-sensitive gene programs that are influenced by nutrients remain unclear. The purpose of this study was to identify mechanical overload-sensitive gene programs that are influenced by nutrients and identify potential transcription factors that may differentiate the change in mRNA in response to mechanical overload versus nutrients. Nutrient-deprived 12-wk-old male mice were randomized to remain fasted or allowed access to food. All mice underwent a single bout of unilateral high force contractions of the tibialis anterior (TA). Four hours postcontractions TA muscles were extracted and the content of 12 contraction-sensitive mRNAs was analyzed. The mRNA content of genes associated with transcription, PI3K-Akt signaling pathway, Z-disc, intracellular signal transduction, cell cycle, and amino acid transport was altered by contractions without the influence of nutrient consumption. Conversely, the mRNA content of genes associated with transcription, cell cycle, FoxO signaling pathway, and amino acid transport was altered by contractions with nutrition consumption influencing the change. We identified the signal transducer and activator of transcription 3 (STAT3) and activator protein 1 (AP-1) as transcription factors common among mRNAs that were primarily altered by mechanical overload regardless of feeding. Overall, these data provide a deeper molecular basis for the specific muscle phenotypes exclusive to mechanical overload versus those regulated by the addition of nutrients.

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http://dx.doi.org/10.1152/physiolgenomics.00075.2022DOI Listing

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