Revisiting the roles of protein synthesis during skeletal muscle hypertrophy induced by exercise.
Vandré Casagrande FigueiredoPublished in: American journal of physiology. Regulatory, integrative and comparative physiology (2019)
Protein synthesis is deemed the underpinning mechanism enhancing protein balance required for skeletal muscle hypertrophy in response to resistance exercise. The current model of skeletal muscle hypertrophy induced by resistance training states that the acute increase in the rates of protein synthesis after each bout of resistance exercise is the basis for muscle growth. Within this paradigm, each resistance exercise session would add a specific amount of muscle mass; therefore, muscle hypertrophy could be defined as the result of intermittent and short-lived increases in muscle protein synthesis rates following each resistance exercise session. Although a substantial amount of data has accumulated in the last decades regarding the acute changes in protein synthesis (or translational efficiency) following resistance exercise, considerable gaps on the mechanism of muscle growth still exist. Ribosome biogenesis and translational capacity have emerged as important mediators of skeletal muscle hypertrophy. Recent advances in the field have demonstrated that skeletal muscle hypertrophy is associated with markers of translational capacity and long-term changes in protein synthesis under resting conditions. This review will discuss the caveats of the current model of skeletal muscle hypertrophy induced by resistance training while proposing a working model that takes into consideration the novel data generated by independent laboratories utilizing different methodologies. It is argued, herein, that the role of protein synthesis in the current model of muscle hypertrophy warrants revisiting.
Keyphrases
- skeletal muscle
- resistance training
- high intensity
- body composition
- insulin resistance
- physical activity
- liver failure
- type diabetes
- drug induced
- adipose tissue
- blood pressure
- machine learning
- transcranial direct current stimulation
- small molecule
- deep learning
- acute respiratory distress syndrome
- extracorporeal membrane oxygenation
- mechanical ventilation