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Image evaluation of skeletal muscle fat quantification and its clinical value in type 2 diabetes mellitus
YU Fu-yao  SUN He  MENG Yan  PAN Shi-nong 

DOI:10.12015/issn.1674-8034.2018.11.013.


[Abstract] In recent years, with the advancement of imaging technology, the determination of skeletal muscle fat content has become increasingly accurate. Body fat is considered to be a main target organ of insulin, and body fat composition is closely associated with insulin resistance. In particular, ectopic deposition and abnormal metabolism of skeletal muscle fat are one of the important factors in the pathogenesis of insulin resistance. Type 2 diabetes is one of the most common non-communicable diseases in the world with alarmingly high incidence globally, especially in developing countries. At present, insulin resistance (IR) is considered to be the main pathogenesis of type 2 diabetes. Therefore, the clinical value of the correlation between skeletal muscle fat content and insulin resistance is particularly critical. Image evaluation of skeletal muscle fat content and the study of its association with insulin resistance play a crucial role in the management and treatment of diabetes such as physical activity, life style modification, and medication.
[Keywords] Fats；Muscles；Diabetes mellitus, type 2；Insulin resistance；Diagnostic imaging

YU Fu-yao Department of Radiology, Shengjing Hospital of China Medical University, Shenyang 110004, China

SUN He Department of Radiology, Fourth Affiliated Hospital of China Medical University, Shenyang 110004, China

MENG Yan Department of Radiology, Shengjing Hospital of China Medical University, Shenyang 110004, China

PAN Shi-nong* Department of Radiology, Shengjing Hospital of China Medical University, Shenyang 110004, China

*Corresponding to: Pan SN, E-mail: cjr.panshinong@vip.163.com

Conflicts of interest   None.

ACKNOWLEDGMENTS  This work was part of the National Key R & D Plan and Special Research and Development Program of Digital Diagnosis and Treatment Equipment No. 2016YFC0107102
Received  2018-04-11
DOI: 10.12015/issn.1674-8034.2018.11.013
DOI:10.12015/issn.1674-8034.2018.11.013.

[1]
Kim JE, Dunville K, Li J, et al. Intermuscular adipose tissue content and intramyocellular lipid fatty acid saturation are associated with glucose homeostasis in middle-aged and older adults. Endocrinol Metab, 2017, 32(2): 257-264.
[2]
Cawthon PM, Fox KM, Gandra SR, et al. Do muscle mass, muscle density, strength, and physical function similarly influence risk of hospitalization in older adults?J Am Geriatr Soc, 2009, 57(8): 1411-1149.
[3]
Jacobs JL, Marcus RL, Morrell G, et al. Resistance exercise with older fallers: its impact on intermuscular adipose tissue. Biomed Res Int, 2014, 2014(6): 398960.
[4]
Miljkovic I, Zmuda JM. Epidemiology of myosteatosis. Curr Opin Clin Nutr Metab Care, 2010, 13(3): 260-264.
[5]
Addison O, Marcus RL, Lastayo PC, et al. Intermuscular fat: a review of the consequences and causes. Int J Endocrinol, 2014, 2014(10): 309570.
[6]
Goodpaster B, Thaete FD. Thigh adipose tissue distribution is associated with insulin resistance in obesity and in type 2 diabetes mellitus. Am J Clin Nutr, 2000, 71(4): 885-892.
[7]
吴更．骨骼肌脂肪分布及含量与胰岛素抵抗关系的研究．上海第二医科大学上海交通大学, 2004: 1-48.
[8]
Scott D, Daly RM, Sanders KM, et al. Fall and fracture risk in sarcopenia and dynapenia with and without obesity: the role of lifestyle interventions. Curr Osteoporos Rep, 2015, 13(4): 235-244.
[9]
Goodpaster BH, Kelley DE, Wing RR, et al. Effects of weight loss on regional fat distribution and insulin sensitivity in obesity. Diabetes, 1999, 48(4): 839.
[10]
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, 2008, 105(5): 1498-1503.
[11]
Manini TM, Clark BC, Nalls MA, et al. Reduced physical activity increases intermuscular adipose tissue in healthy young adults. Am J Clin Nutr, 2007, 85(2): 377-384.
[12]
陈建锋，范运洲，李鹏，等．智能放射吸收法的临床应用：人体手臂骨骨密度的测量及其骨质疏松的评估．中国医疗设备, 2018(3): 31-35.
[13]
Petak S, Barbu CG, Yu EW, et al. The official positions of the international society for clinical densitometry: body composition analysis reporting. J Clin Densitom, 2013, 16(4): 508-519.
[14]
Lee VR, Blew RM, Farr JN, et al. Estimation of whole body fat from appendicular soft tissue from peripheral quantitative computed tomography in adolescent girls. Int J Body Compos Res, 2013, 11(1): 1-8.
[15]
Bouchard C. BMI, fat mass, abdominal adiposity and visceral fat: Where is the 'beef’ ?Int J Obes(Lond), 2007, 31(10): 1552-1553.
[16]
Chen LK, Liu LK, Woo J, et al. Sarcopenia in Asia: consensus report of the Asian Working Group for Sarcopenia. J Am Med Dir Assoc, 2014,15(2): 95-101.
[17]
Orgiu S, Lafortuna C L, Rastelli F, et al. Automatic muscle and fat segmentation in the thigh from T1: weighted MRI. J Magn Reson Imaging, 2016, 43(3): 601-610.
[18]
Hollingsworth KG, Garrood P, Eagle M, et al. Magnetic resonance imaging in duchenne muscular dystrophy: longitudinal assessment of natural history over 18 months. Muscle Nerve, 2013, 48(4): 586-588.
[19]
Ruschke S, Kienberger H, Baum T, et al. Diffusion-weighted stimulated echoacquisition mode (DW-STEAM) MR spectroscopy to measure fat unsaturationin regions with low proton-density fat fraction. Magn Reson Med, 2016, 75(1): 32-41.
[20]
Nakagawa Y, Hattori M. Intramyocellular lipids of muscle type in athletes of different sport disciplines. Open Access J Sports Med, 2017, 8:161-166.
[21]
Burakiewicz J, Cdj S, Fischer D, et al. Quantifying fat replacement of muscle by quantitative MRI in muscular dystrophy. J Neurol, 2017, 264(10): 2053-2067.
[22]
Johnson BJ, Mba ME, Wolfson MA, et al. Effect of flip angle on the accuracy and repeatability of hepatic protondensity fat fraction estimation by complex data-based, T1-independent, T2*-corrected, spectrum-modeled MRI. J Magn Reson Imaging, 2014, 39(2): 440-447.
[23]
Idilman IS, Tuzun A, Savas B, et al. Quantification of liver, pancreas, kidney, and vertebral body MRI-PDFF in non-alcoholic fatty liver disease. Abdom Imaging, 2015, 40(6): 1512-1519.
[24]
Schwimmer JB, Middleton MS, Behling C, et al. Magnetic resonance imaging and liver histology as biomarkers of hepatic steatosis in children with nonalcoholic fatty liver disease. Hepatology, 2015, 61(6): 1887-1895.
[25]
Corcoran MP, Lamonfava S, Fielding RA. Skeletal muscle lipid deposition and insulin resistance: effect of dietary fatty acids and exercise. Am J Clin Nutr, 2007, 85(3): 662-677.
[26]
张健，李蕾，邓一洁，等．我国糖尿病的流行现状和危险因素分析.世界最新医学信息文摘, 2018, (16): 94-96.
[27]
Weigensberg MJ, Goran MI. Type 2 diabetes in children and adolescents. Lancet, 2009, 373(9677): 1743-1744.
[28]
Belkina AC, Denis GV. Obesity genes and insulin resistance. Curr Opin Endocrinol Diabetes Obes, 2010, 17(5): 472-477.
[29]
王宇，施榕. 2型糖尿病危险因素流行病学研究进展．上海预防医学, 2004, 16(2): 53-55.
[30]
Wu Y, Ding Y, Tanaka Y, et al. Risk factors contributing to type 2 diabetes and recent advances in the treatment and prevention. Int J Med Sci, 2014, 11(11): 1185-1200.
[31]
Hausman GJ, Basu U, Du M, et al. Intermuscular and intramuscular adipose tissues: Bad vs. good adipose tissues. Adipocyte, 2014, 3(4): 242-255.
[32]
Gepner Y, Shelef I, Schwarzfuchs D, et al. Intramyocellular triacylglycerol accumulation across weight loss strategies. Sub-study of the CENTRAL trial. Plos One, 2017, 12(11): e0188431.
[33]
Zoico E, Rossi AF, Sepe A, et al. Adipose tissue infiltration in skeletal muscle of healthy elderly men: relationships with body composition, insulin resistance, and inflammation at the systemic and tissue level. J Gerontol, 2010, 65(3): 295-299.
[34]
Hamrick MW, Mcgee-Lawrence ME, Frechette DM. Fatty infiltration of skeletal muscle: mechanisms and comparisons with bone marrow adiposity. Front Endocrinol (Lausanne), 2016, 7: 69.
[35]
Laurens C, Louche K, Sengenes C, et al. Adipogenic progenitors from obese human skeletal muscle give rise to functional white adipocytes that contribute to insulin resistance. Int J Obes, 2016, 40(3): 497-506.
[36]
Kim JE, Dunville K, Li J, et al. Intermuscular adipose tissue content and intramyocellular lipid fatty acid saturation are associated with glucose homeostasis in middle-aged and older adults. Endocrinol Metab (Seoul), 2017, 32(2): 257-264.
[37]
Pagano AF, Brioche T, Arcchagnaud C, et al. Short-term disuse promotes fatty acid infiltration into skeletal muscle. J Cachexia Sarcopenia Muscle, 2017, 9(2): 335-347.
[38]
Hulver MW, Dohm GL. The molecular mechanism linking muscle fat accumulation to insulin resistance. Proc Nutr Soc, 2004, 63(2): 375-380.
[39]
Khan IM, Perrard XY, Brunner G, et al. Intermuscular and perimuscular fat expansion in obesity correlates with skeletal muscle T cell and macrophage infiltration and insulin resistance. Int J Obes, 2015, 39(11): 1607-1618.
[40]
Haam JH, Kim YS, Koo HS, et al. Intermuscular adipose tissue is associated with monocyte chemoattractant protein-1, independent of visceral adipose tissue. Clin Biochem, 2015, 49(6): 439-443.
[41]
Ma J, Yu S, Wang F, et al. MicroRNA transcriptomes relate intermuscular adipose tissue to metabolic risk. Int J Mol Sci, 2013, 14(4): 8611-8624.
[42]
Goss AM, Gower BA. Insulin sensitivity is associated with thigh adipose tissue distribution in healthy postmenopausal women. Metabolism, 2012, 61(12): 1817-1823.
[43]
Iglesias E, Clemente EI, Jou C, et al. Correlation between muscular edema on magnetic resonance imaging versus major histocompatibility complex type Ii overexpression on muscle biopsy at diagnosis on juvenile dermatomyositis patients. Pediatr Rheumatol Online J, 2014, 12(Suppl 1): 90.
[44]
Boettcher M, Machann J, Stefan N, et al. Intermuscular adipose tissue (IMAT): association with other adipose tissue compartments and insulin sensitivity. J Magn Reson Imaging, 2009, 29(6): 1340-1345.
[45]
吴迁，陈璐璐，王保平，等．胰岛素治疗对糖尿病大鼠骨骼肌内脂肪含量和CPTI-β基因表达的影响．中国临床药理学与治疗学, 2006, 11(9): 1065-1068.

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