DOI QR코드

DOI QR Code

CT Evaluation of Age-Related Changes in Epaxial Muscle Attenuation and Cross-Sectional Area for Sarcopenia and Myosteatosis in Small Breed Dogs

  • Ji Yeong Lee (Institute of Animal Medicine, College of Veterinary Medicine, Gyeongsang National University) ;
  • Tae Sung Hwang (Institute of Animal Medicine, College of Veterinary Medicine, Gyeongsang National University) ;
  • Hee Chun Lee (Institute of Animal Medicine, College of Veterinary Medicine, Gyeongsang National University)
  • Received : 2023.04.06
  • Accepted : 2023.05.30
  • Published : 2023.06.30

Abstract

Sarcopenia and myosteatosis can increase the risk of adverse effects in dogs and humans. However, such imaging study results for evaluating sarcopenia and myosteatosis in small dogs have not yet been available. The objective of this study was to assess age-related changes according to the breed in epaxial muscle cross-sectional area (CSA) and fat infiltration using CT to evaluate sarcopenia and age-related myosteatosis in small breed dogs. In 144 dogs (92 Maltese dogs, 27 Poodle dogs, and 25 Shih Tzu dogs), Hounsfield Unit (HU) values and CSA of left epaxial muscle were measured at the thirteenth thoracic vertebral level on non-contrast transverse CT images. Differences in HU values and CSA according to age and breed were analyzed. The geriatric group (≥12 years) had significantly lower HU values of epaxial muscle than mature adult group (2 to 6 years) of all breeds. The geriatric group had significantly lower CSA of epaxial muscle than mature adult and senior groups (7 to 11 years) of Maltese dogs. HU values of epaxial muscle were not significantly different among all age groups of all breeds. Maltese dogs had significantly lower CSA of epaxial muscle than Poodle and Shih Tzu dogs in all age groups. Results of this study showed that as age increased in small breed dogs, muscle mass and density decreased.

Keywords

Acknowledgement

This study was supported by a grant from the Cooperative Research Program for Agriculture Science & Technology Development (Project no. PJ01698402), RDA, Republic of Korea.

References

  1. Ahn H, Kim DW, Ko Y, Ha J, Shin YB, Lee J, et al. Updated systematic review and meta-analysis on diagnostic issues and the prognostic impact of myosteatosis: a new paradigm beyond sarcopenia. Ageing Res Rev 2021; 70: 101398.
  2. Amini B, Boyle SP, Boutin RD, Lenchik L. Approaches to assessment of muscle mass and myosteatosis on computed tomography: a systematic review. J Gerontol A Biol Sci Med Sci 2019; 74: 1671-1678. https://doi.org/10.1093/gerona/glz034
  3. Bostrom AF, Lappalainen AK, Danneels L, Jokinen TS, Laitinen-Vapaavuori O, Hielm-Bjorkman AK. Cross-sectional area and fat content in dachshund epaxial muscles: an MRI and CT reliability study. Vet Rec Open 2018; 5: e000256.
  4. Boutin RD, Yao L, Canter RJ, Lenchik L. Sarcopenia: current concepts and imaging implications. AJR Am J Roentgenol 2015; 205: W255-W266. https://doi.org/10.2214/AJR.15.14635
  5. Boyle PA, Buchman AS, Wilson RS, Leurgans SE, Bennett DA. Association of muscle strength with the risk of Alzheimer disease and the rate of cognitive decline in community-dwelling older persons. Arch Neurol 2009; 66: 1339-1344. https://doi.org/10.1001/archneurol.2009.240
  6. Cosqueric G, Sebag A, Ducolombier C, Thomas C, Piette F, Weill-Engerer S. Sarcopenia is predictive of nosocomial infection in care of the elderly. Br J Nutr 2006; 96: 895-901. https://doi.org/10.1017/BJN20061943
  7. Cruz-Jentoft AJ, Baeyens JP, Bauer JM, Boirie Y, Cederholm T, Landi F, et al. Sarcopenia: European consensus on definition and diagnosis: Report of the European Working Group on Sarcopenia in Older People. Age Ageing 2010; 39: 412-423. https://doi.org/10.1093/ageing/afq034
  8. Delmonico MJ, Harris TB, Visser M, Park SW, Conroy MB, Velasquez-Mieyer P, et al. Longitudinal study of muscle strength, quality, and adipose tissue infiltration. Am J Clin Nutr 2009; 90: 1579-1585. https://doi.org/10.3945/ajcn.2009.28047
  9. Freeman LM. Cachexia and sarcopenia: emerging syndromes of importance in dogs and cats. J Vet Intern Med 2012; 26: 3-17. https://doi.org/10.1111/j.1939-1676.2011.00838.x
  10. Goodpaster BH, Kelley DE, Thaete FL, He J, Ross R. Skeletal muscle attenuation determined by computed tomography is associated with skeletal muscle lipid content. J Appl Physiol 2000; 89: 104-110. https://doi.org/10.1152/jappl.2000.89.1.104
  11. Handschin C, Spiegelman BM. The role of exercise and PGC1alpha in inflammation and chronic disease. Nature 2008; 454: 463-469. https://doi.org/10.1038/nature07206
  12. Harper EJ. Changing perspectives on aging and energy requirements: aging, body weight and body composition in humans, dogs and cats. J Nutr 1998; 128(12 Suppl): 2627S-2631S. https://doi.org/10.1093/jn/128.12.2627S
  13. Harvey ND. How old is my dog? Identification of rational age groupings in pet dogs based upon normative age-linked processes. Front Vet Sci 2021; 8: 643085.
  14. Herbst A, Pak JW, McKenzie D, Bua E, Bassiouni M, Aiken JM. Accumulation of mitochondrial DNA deletion mutations in aged muscle fibers: evidence for a causal role in muscle fiber loss. J Gerontol A Biol Sci Med Sci 2007; 62: 235-245. https://doi.org/10.1093/gerona/62.3.235
  15. Hosgood G, Scholl DT. Evalution of age as a risk factor for perianesthetic morbidity and mortality in the dog. J Vet Emerg Crit Care 1998; 8: 222-236. https://doi.org/10.1111/j.1476-4431.1998.tb00128.x
  16. Hutchinson D, Sutherland-Smith J, Watson AL, Freeman LM. Assessment of methods of evaluating sarcopenia in old dogs. Am J Vet Res 2012; 73: 1794-1800. https://doi.org/10.2460/ajvr.73.11.1794
  17. Kalichman L, Hodges P, Li L, Guermazi A, Hunter DJ. Changes in paraspinal muscles and their association with low back pain and spinal degeneration: CT study. Eur Spine J 2010; 19: 1136-1144. https://doi.org/10.1007/s00586-009-1257-5
  18. Kealy RD, Lawler DF, Ballam JM, Mantz SL, Biery DN, Greeley EH, et al. Effects of diet restriction on life span and age-related changes in dogs. J Am Vet Med Assoc 2002; 220: 1315-1320. https://doi.org/10.2460/javma.2002.220.1315
  19. Kim DW, Kim KW, Ko Y, Park T, Khang S, Jeong H, et al. Assessment of myosteatosis on computed tomography by automatic generation of a muscle quality map using a web-based toolkit: feasibility study. JMIR Med Inform 2020; 8: e23049.
  20. Kuk JL, Saunders TJ, Davidson LE, Ross R. Age-related changes in total and regional fat distribution. Ageing Res Rev 2009; 8: 339-348. https://doi.org/10.1016/j.arr.2009.06.001
  21. Lang T, Streeper T, Cawthon P, Baldwin K, Taaffe DR, Harris TB. Sarcopenia: etiology, clinical consequences, intervention, and assessment. Osteoporos Int 2010; 21: 543-559. https://doi.org/10.1007/s00198-009-1059-y
  22. Meyer H, Stadtfeld G. Investigations on the body and organ structure of dogs. In: Nutrition of the dog and cat: Proceedings of the International Symposium on the Nutrition of the Dog and Cat, arranged by the Institute of Animal Nutrition in conjunction with the 200-year anniversary of the Veterinary School. Oxford; New York: Pergamon Press, 1980: 15-30.
  23. Newman AB, Lee JS, Visser M, Goodpaster BH, Kritchevsky SB, Tylavsky FA, et al. Weight change and the conservation of lean mass in old age: the Health, Aging and Body Composition Study. Am J Clin Nutr 2005; 82: 872-878; quiz 915-916. https://doi.org/10.1093/ajcn/82.4.872
  24. Pagano TB, Wojcik S, Costagliola A, De Biase D, Iovino S, Iovane V, et al. Age related skeletal muscle atrophy and upregulation of autophagy in dogs. Vet J 2015; 206: 54-60. https://doi.org/10.1016/j.tvjl.2015.07.005
  25. Pedersen BK, Saltin B. Exercise as medicine - evidence for prescribing exercise as therapy in 26 different chronic diseases. Scand J Med Sci Sports 2015; 25 Suppl 3: 1-72. https://doi.org/10.1111/sms.12581
  26. Schilling N. Metabolic profile of the perivertebral muscles in small therian mammals: implications for the evolution of the mammalian trunk musculature. Zoology (Jena) 2009; 112: 279-304. https://doi.org/10.1016/j.zool.2008.09.007
  27. Schrager MA, Metter EJ, Simonsick E, Ble A, Bandinelli S, Lauretani F, et al. Sarcopenic obesity and inflammation in the InCHIANTI study. J Appl Physiol 2007; 102: 919-925. https://doi.org/10.1152/japplphysiol.00627.2006
  28. Sergi G, Trevisan C, Veronese N, Lucato P, Manzato E. Imaging of sarcopenia. Eur J Radiol 2016; 85: 1519-1524. https://doi.org/10.1016/j.ejrad.2016.04.009
  29. Sutherland-Smith J, Hutchinson D, Freeman LM. Comparison of computed tomographic attenuation values for epaxial muscles in old and young dogs. Am J Vet Res 2019; 80: 174-177. https://doi.org/10.2460/ajvr.80.2.174
  30. Turner RBS, Hepworth G, Wilson K, Tyrrell D, Dunshea FR, Mansfield CS. Abdominal volume computed tomography assessment of body composition in dogs. BMC Vet Res 2019; 15: 21.
  31. Verdijk LB, Snijders T, Beelen M, Savelberg HH, Meijer K, Kuipers H, et al. Characteristics of muscle fiber type are predictive of skeletal muscle mass and strength in elderly men. J Am Geriatr Soc 2010; 58: 2069-2075. https://doi.org/10.1111/j.1532-5415.2010.03150.x
  32. Woo J, Leung J, Morley JE. Defining sarcopenia in terms of incident adverse outcomes. J Am Med Dir Assoc 2015; 16: 247-252. https://doi.org/10.1016/j.jamda.2014.11.013
  33. Zopfs D, Theurich S, Grosse Hokamp N, Knuever J, Gerecht L, Borggrefe J, et al. Single-slice CT measurements allow for accurate assessment of sarcopenia and body composition. Eur Radiol 2020; 30: 1701-1708. https://doi.org/10.1007/s00330-019-06526-9