1. NONINVASIVE ASSESSMENT OF SKELETAL MUSCLE MYOSIN HEAVY CHAIN EXPRESSION IN TRAINED AND UNTRAINED MEN.
- Author
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Fry, Andrew C., Weir, Joseph P., Miller, Jonathan D., Nicoll, J. ustin X., Housh, Terry J., Cramer, Joel B., Beck, Travis W., and Schilling, Brian K.
- Subjects
MUSCLE analysis ,LONGITUDINAL method ,DIAGNOSIS of musculoskeletal system diseases ,MYOSIN ,VIBRATION (Mechanics) ,MULTIPLE regression analysis - Abstract
Numerous conditions and types of physical activity (e.g., exercise, aging, muscle-related diseases) can influence muscle fiber types and the proteins expressed. To date, muscle fibers can only be characterized by actually obtaining a tissue sample using the invasive muscle biopsy procedure. Mechanomyography (MMG) is the assessment of the vibration properties of contracting skeletal muscle, and has been proposed as a possible non-invasive method for muscle fiber analysis. Therefore, the purpose of this project was to examine the feasibility of using MMG and muscle performance measures to non-invasively assess muscle fiber characteristics. Fifteen men (5 endurance-trained [End], 5 weight-trained [WT], and 5 sedentary [Sed]) provided muscle samples from their vastus lateralis muscle. These samples were analyzed for relative myosin heavy chain protein expression, which is highly correlated with % muscle fiber type areas. Additionally, each subject performed several muscle performance tests, and MMG of the quadriceps was assessed during a knee extension exercise. Multiple regression was used to develop prediction equations for determining relative muscle content of myosin heavy chain (MHC) types I, IIa, and IIx. A combination of MMG and knee extension performance variables estimated types I, IIa, and IIx MHC with approximately 80% accuracy. Although preliminary, these data suggest that muscle performance tests in addition to MMG assessments during a simple muscle performance task (knee extension) can be used to estimate muscle fiber type composition in a healthy male population. Such methods could ultimately be used to non-invasively monitor muscle health and fitness. [ABSTRACT FROM AUTHOR]
- Published
- 2017
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