Noninvasive Estimation of Myosin Heavy Chain Composition in Human Skeletal Muscle

• Published in: Medicine and science in sports and exercise 2011-09, Vol.43 (9), p.1619-1625
• Main Authors: SIMUNIC, Boštjan, DEGENS, Hans, RITTWEGER, Jorn, NARICI, Marco, MEKJAVIC, Igor B, PISOT, Rado
• Format: Article
• Language: English
• Subjects: Adult; Biological and medical sciences; Female; Fundamental and applied biological sciences. Psychology; Humans; Male; Middle Aged; Muscle Contraction - physiology; Muscle, Skeletal - chemistry; Muscle, Skeletal - physiology; Myosin Heavy Chains - analysis; Myosin Heavy Chains - physiology; Space life sciences; Vertebrates: body movement. Posture. Locomotion. Flight. Swimming. Physical exercise. Rest. Sports
• ISSN: 0195-9131; 1530-0315
• DOI: 10.1249/mss.0b013e31821522d0

Information on muscle fiber type composition is of great importance in muscle physiology and athletic performance. Because there are only a few techniques available that noninvasively and accurately provide an estimate of muscle fiber type composition, the development of additional and alternative approaches is required. Twenty-seven participants (21 men, 6 women) with an average age of 43 ± 18 yr, height of 175 ± 7 cm, and mass of 74 ± 12 kg participated in the study. Delay, contraction, and half relaxation times were calculated from tensiomyographic radial twitch responses of the vastus lateralis muscle. Univariate and multiple linear regression analyses were used to correlate the proportion of myosin heavy chain I (%MHC-I) in a biopsy obtained from the same muscle with a single and all three radial twitch parameters. Delay, contraction, and half relaxation times all correlated with %MHC-I (r = 0.612, 0.878, and 0.669, respectively, at P ≤ 0.001). When all three parameters were included in a multiple linear regression, the correlation with the %MHC-I was even better (R = 0.933, P < 0.001). These data suggest that time parameters of the skeletal muscle mechanical radial twitch response, measured with a contact linear displacement sensor, can be used as an accurate noninvasive predictor of the %MHC-I in a muscle.