Abstract
Background
The use of magnetic resonance imaging (MRI) derived functional cross-sectional area (FCSA) and intramuscular adipose tissue (IMAT) to define skeletal muscle quality is of fundamental importance in order to understand aging and inactivity-related loss of muscle mass.
Objectives
This study examined factors associated with lower-extremity skeletal muscle quality in healthy, younger, and middle-aged adults.
Design
Cross-sectional study.
Setting and Participants
Ninety-eight participants (53% female) were classified as younger (20–35 years, n=50) or middle-aged (50–65 years, n=48) as well as sedentary (≤1 day per week) or active (≥3 days per week) on self-reported concurrent exercise (aerobic and resistance).
Measurements
All participants wore an accelerometer for seven days, recorded a three-day food diary, and participated in magnetic resonance imaging (MRI) of the lower limbs. Muscle cross-sectional area (CSA) was determined by tracing the knee extensors (KE) and plantar flexors, while muscle quality was established through the determination of FCSA and IMAT via color thresholding.
Results
One-way analysis of variance and stepwise regression models were performed to predict FCSA and IMAT. KE-IMAT (cm2) was significantly higher among sedentary (3.74 ± 1.93) vs. active (1.85 ± 0.56) and middle-aged (3.14 ± 2.05) vs. younger (2.74 ± 1.25) (p < 0.05). Protein intake (g•kg•day−1) was significantly higher in active (1.63 ± 0.55) vs. sedentary (1.19 ± 0.40) (p < 0.05). Sex, age, concurrent exercise training status, and protein intake were significant predictors of KE FCSA (R2 = 0.71, p < 0.01), while concurrent exercise training status and light physical activity predicted 33% of the variance in KE IMAT (p < 0.01).
Conclusion
Concurrent exercise training, dietary protein intake, and light physical activity are significant determinants of skeletal muscle health and require further investigation to mitigate aging and inactivity-related loss of muscle quality.
Similar content being viewed by others
References
Russ DW, Gregg-Cornell K, Conaway MJ, Clark BC: Evolving concepts on the age-related changes in “muscle quality”. J Cachexia Sarcopenia Muscle 2012, 3:95–109.
Ranson CA, Burnett AF, Kerslake R, Batt ME, O’Sullivan PB: An investigation into the use of MR imaging to determine the functional cross sectional area of lumbar paraspinal muscles. Eur Spine J 2006, 15:764–773.
Chang DG, Healey RM, Snyder AJ, et al: Lumbar Spine Paraspinal Muscle and Intervertebral Disc Height Changes in Astronauts After Long-Duration Spaceflight on the International Space Station. Spine (Phila Pa 1976) 2016, 41:1917–1924.
Ruan XY, Gallagher D, Harris T, et al: Estimating whole body intermuscular adipose tissue from single cross-sectional magnetic resonance images. J Appl Physiol (1985) 2007, 102:748–754.
Tuttle LJ, Sinacore DR, Mueller MJ: Intermuscular adipose tissue is muscle specific and associated with poor functional performance. J Aging Res 2012, 2012:172957.
Jacobs JL, Marcus RL, Morrell G, LaStayo P: Resistance exercise with older fallers: its impact on intermuscular adipose tissue. Biomed Res Int 2014, 2014:398960.
Goodpaster BH, Chomentowski P, Ward BK, et al: Effects of physical activity on strength and skeletal muscle fat infiltration in older adults: a randomized controlled trial. J Appl Physiol (1985) 2008, 105:1498–1503.
Taaffe DR, Henwood TR, Nalls MA, Walker DG, Lang TF, Harris TB: Alterations in muscle attenuation following detraining and retraining in resistance-trained older adults. Gerontology 2009, 55:217–223.
Santanasto AJ, Glynn NW, Newman MA, et al: Impact of weight loss on physical function with changes in strength, muscle mass, and muscle fat infiltration in overweight to moderately obese older adults: a randomized clinical trial. J Obes 2011, 2011.
Yaskolka Meir A, Shelef I, Schwarzfuchs D, et al: Intermuscular adipose tissue and thigh muscle area dynamics during an 18-month randomized weight loss trial. J Appl Physiol (1985) 2016, 121:518–527.
Manini TM, Buford TW, Lott DJ, et al: Effect of dietary restriction and exercise on lower extremity tissue compartments in obese, older women: a pilot study. J Gerontol A Biol Sci Med Sci 2014, 69:101–108.
Mamerow MM, Mettler JA, English KL, et al: Dietary protein distribution positively influences 24-h muscle protein synthesis in healthy adults. J Nutr 2014, 144:876–880.
Symons TB, Sheffield-Moore M, Wolfe RR, Paddon-Jones D: A moderate serving of high-quality protein maximally stimulates skeletal muscle protein synthesis in young and elderly subjects. J Am Diet Assoc 2009, 109:1582–1586.
Phillips BE, Hill DS, Atherton PJ: Regulation of muscle protein synthesis in humans. Curr Opin Clin Nutr Metab Care 2012, 15:58–63.
Sjoholm K, Gripeteg L, Larsson I: Macronutrient and alcohol intake is associated with intermuscular adipose tissue in a randomly selected group of younger and older men and women. Clin Nutr ESPEN 2016, 13:e46–e51.
Akima H, Yoshiko A, Hioki M, et al: Skeletal muscle size is a major predictor of intramuscular fat content regardless of age. Eur J Appl Physiol 2015, 115:1627–1635.
van Hees VT, Fang Z, Langford J, et al: Autocalibration of accelerometer data for free-living physical activity assessment using local gravity and temperature: an evaluation on four continents. J Appl Physiol (1985) 2014, 117:738–744.
Hildebrand M, VT VANH, Hansen BH, Ekelund U: Age group comparability of raw accelerometer output from wrist- and hip-worn monitors. Med Sci Sports Exerc 2014, 46:1816–1824.
Choi L, Liu Z, Matthews CE, Buchowski MS: Validation of accelerometer wear and nonwear time classification algorithm. Med Sci Sports Exerc 2011, 43:357–364.
Asp ML, Richardson JR, Collene AL, Droll KR, Belury MA: Dietary protein and beef consumption predict for markers of muscle mass and nutrition status in older adults. J Nutr Health Aging 2012, 16:784–790.
Fujita S, Dreyer HC, Drummond MJ, et al: Nutrient signalling in the regulation of human muscle protein synthesis. J Physiol 2007, 582:813–823.
Trumbo P, Schlicker S, Yates AA, Poos M: Dietary reference intakes for energy, carbohydrate, fiber, fat, fatty acids, cholesterol, protein and amino acids. J Am Diet Assoc 2002, 102:1621–1630.
Deutz NE, Bauer JM, Barazzoni R, et al: Protein intake and exercise for optimal muscle function with aging: recommendations from the ESPEN Expert Group. Clin Nutr 2014, 33:929–936.
Manini TM, Clark BC, Nalls MA, Goodpaster BH, Ploutz-Snyder LL, Harris TB: Reduced physical activity increases intermuscular adipose tissue in healthy young adults. Am J Clin Nutr 2007, 85:377–384.
Mittendorfer B, Andersen JL, Plomgaard P, et al: Protein synthesis rates in human muscles: neither anatomical location nor fibre-type composition are major determinants. J Physiol 2005, 563:203–211.
Acknowledgments
The authors gratefully acknowledge the contributions of Rachel Iverson and Dan Streeter.
Funding
Source of Funding: We acknowledge research funding support from Sanford Health/NDSU Collaborative Research Seed Grant Program.
Author information
Authors and Affiliations
Corresponding author
Ethics declarations
Conflicts of Interest: There are no conflicts of interest.
Ethics declaration: The host university’s Institutional Review Board for the protection of human participants approved all procedures.
Rights and permissions
About this article
Cite this article
Dicks, N.D., Kotarsky, C.J., Trautman, K.A. et al. Contribution of Protein Intake and Concurrent Exercise to Skeletal Muscle Quality with Aging. J Frailty Aging 9, 51–56 (2020). https://doi.org/10.14283/jfa.2019.40
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.14283/jfa.2019.40