- Title
- Can systemic myokine response to an acute exercise bout predict high and low responders to resistance training?
- Creator
- Bell, Leo; Wallen, M.; Talpey, Scott; O'Brien, B.
- Date
- 2022
- Type
- Text; Journal article
- Identifier
- http://researchonline.federation.edu.au/vital/access/HandleResolver/1959.17/187873
- Identifier
- vital:17135
- Identifier
-
https://doi.org/10.1016/j.mehy.2022.110780
- Identifier
- ISSN:0306-9877 (ISSN)
- Abstract
- Resistance training is performed to increase muscle strength and mass. Associated benefits relate to improvements 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 biomarkers 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 understudied. 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 resistance training. Development of a screening tool which reliably identifies individual trainability can have potential implications for personalised exercise physiology. © 2022
- Publisher
- Churchill Livingstone
- Relation
- Medical Hypotheses Vol. 160, no. (2022), p.
- Rights
- All metadata describing materials held in, or linked to, the repository is freely available under a CC0 licence
- Rights
- Copyright © 2022 Elsevier Ltd.
- Rights
- Open Access
- Subject
- 32 Biomedical and clinical sciences; Cytokines; Hypertrophy; Myokines; Strength Training; Trainability
- Full Text
- Reviewed
- Funder
- Leo Bell was supported by an Australian Government Research Training Program (RTP) Fee-Offset Scholarship through Federation University Australia.
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