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Can systemic myokine response to an acute exercise bout predict high and low responders to resistance training?

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MEDICAL HYPOTHESES
卷 160, 期 -, 页码 -

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ELSEVIER
DOI: 10.1016/j.mehy.2022.110780

关键词

Myokines; Cytokines; Hypertrophy; Trainability; Strength Training

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Resistance training is important for increasing muscle strength and mass, improving physical performance, and reducing the risk of mortality. However, the response to resistance training varies greatly among individuals due to physiological differences and flawed training methods. Recent research has focused on identifying biomarkers, specifically myokines associated with exercise-induced muscle secretome, that can distinguish between individuals with large or small increases in muscle mass. However, more studies are needed to determine the repeatability of these biomarkers in response to standardized resistance training.
Resistance training is performed to increase muscle strength and mass. Associated benefits relate to improve-ments in physical performance as well as reduced risk of mortality. However, the exercise response to resistance training is largely variable. This may be attributed to individual physiological phenotype and flawed methods of standardised training. Recent efforts have been made to identify biomarkers which delineate between high and low responders to resistance training. Myokines associated with exercise-induced muscle secretome are bio-markers that potentially differentiate between individuals that experience large or small increases in muscle mass. However, the repeatability of these biomarkers in response to standardised resistance training is under-studied. Therefore, this research seeks to address the inter and intra-reliability of myokines associated with resistance exercise, and if they confidently predict high and low responders to individually standardised resis-tance training. Development of a screening tool which reliably identifies individual trainability can have po-tential implications for personalised exercise physiology.

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