Specific metabolic rates of major organs and tissues across adulthood: Evaluation by mechanistic model of resting energy expenditure

American Journal of Clinical Nutrition

Volumn 92, Issue 6, 2010, Pages 1369-1377

  Wang, ZiMian ^a   Ying, Zhiliang ^a   Bosy Westphal, Anja ^b   Zhang, Junyi ^a   Schautz, Britta ^b   Later, Wiebke ^b   Heymsfield, Steven B ^c   Müller, Manfred J ^b  

^a Och Spine at New York Presbyterian Hospitals   (United States)

^b UNIVERSITY OF KIEL   (Germany)

^c PENNINGTON BIOMEDICAL RESEARCH CENTER   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ADULT; ADULTHOOD; ARTICLE; BRAIN METABOLISM; ENERGY EXPENDITURE; FEMALE; HEART MUSCLE METABOLISM; HUMAN; HUMAN EXPERIMENT; KIDNEY METABOLISM; LIVER METABOLISM; MALE; METABOLIC RATE; MIDDLE AGED; MUSCLE METABOLISM; NORMAL HUMAN; TISSUE METABOLISM;

ADIPOSE TISSUE; ADULT; AGE FACTORS; BASAL METABOLISM; BRAIN; ENERGY METABOLISM; FEMALE; HEART; HUMANS; KIDNEY; LIVER; MALE; MIDDLE AGED; MODELS, BIOLOGICAL; MUSCLE, SKELETAL; REFERENCE VALUES; REGRESSION ANALYSIS; YOUNG ADULT;

EID: 78651322531     PISSN: 00029165     EISSN: 19383207     Source Type: Journal    
DOI: 10.3945/ajcn.2010.29885     Document Type: Article

References (28)

1. Elia M. Organ and tissue contribution to metabolic rate. In: Kinney JM, Tucker HN, eds. Energy metabolism: tissue determinants and cellular corollaries. New York, NY: Raven Press, 1992:61-80.
2. FAO/WHO/UNU. Human energy requirements. Rome, Italy: Joint FAO/WHO/UNU Expert Consultation, 2004:35-50.
3. Wang Z, Heshka S, Heymsfield SB, Shen W, Gallagher D. A cellular level approach to predicting resting energy expenditure across the adult years. Am J Clin Nutr 2005;81:799-806.
4. Schmidz-Nielsen K. Scaling: why is animal size so important? Cambridge, United Kingdom: Cambridge University Press, 1984.
5. Chugani HT, Phelps ME, Mazziotta JC. Positron emission tomography study of human brain functional development. Ann Neurol 1987;22: 487-97.
6. Linde B, Hjemdahl P, Freyschuss U, Juhlin-Dunndelt A. Adipose tissue and skeletal muscle blood flow during mental stress. Am J Physiol 1989; 256:E12-8.
7. McCully KK, Posner JD. The application of blood flow measurements to the study of aging muscle. J Gerontol 1995;50:130-6.
8. Gallagher D, Belmonte D, Deurenberg P, et al. Organ-tissue mass measurement allows modeling of REE and metabolically active tissue mass. Am J Physiol 1998;275:E249-58.
9. Bosy-Westphal A, Eichhorn C, Kutzner D, Illner K, Heller M, Müller MJ. The age-related decline in resting energy expenditure in humans is due to the loss of fat-free mass and to alterations in its metabolically active components. J Nutr 2003;133:2356-62.
10. Gallagher D, Allen A, Wang ZM, Heymsfield SB, Krasnow N. Smaller organ tissue mass in the elderly fails to explain lower resting metabolic rate. Ann N Y Acad Sci 2000;904:449-55.
11. Wang Z, Heshka S, Zhang K, Boozer C, Heymsfield SB. Resting energy expenditure: systematic organization and critique of prediction methods. Obes Res 2001;9:331-6.
12. Weisberg S. Applied linear regression. 3rd ed. Hoboken, NJ: John Wileys & Sons, 2005.
13. Bosy-Westphal A, Reinecke U, Schlorke T, et al. Effect of organ and tissue masses on resting energy expenditure in underweight, normal weight and obese adults. Int J Obes Relat Metab Disord 2004;28:72-9.
14. Lohman TC, Roche AF, Martorell R, eds. Anthropometric standardization reference manual. Champaign, IL: Human Kinetics, 1988.
15. Ross R, Janssen I. Computed tomography and magnetic resonance imaging. In: Heymsfield SB, Lohman TG, Wang ZM, Going SB, eds. Human body composition. 2nd ed. Champaign, IL: Human Kinetics, 2005:89-108.
16. Lohman TG, Chen Z. Dual energy X-ray absorptiometry. In: Heymsfield SB, Lohman TG, Wang ZM, Going SB, eds. Human body composition. 2nd ed. Champaign, IL: Human Kinetics, 2005:63-78.
17. Kim J, Wang ZM, Heymsfield ZM, Baumgartner RN, Gallagher D. Total-body skeletal muscle mass: estimation by new dual-energy X-ray absorptiometry method. Am J Clin Nutr 2002;76:378-83.
18. Snyder WS, Cook MJ, Nasset ES, Karhausen LR, Howells GP, Tipton IH. Report of the Task Group on Reference Man. Oxford, United Kingdom: Pergamon Press, 1975.
19. Bland JM, Altman DG. Statistical methods for assessing agreement between two methods of clinical measurement. Lancet 1986;1: 307-10.
20. Terroine EF, Roche J. La respiration des tissue. I. Production calorique des Homeothermas et intensite de la respiration in vitro des homologues. [Tissue respiration. I. Caloric expenditure of Homeotherms and intensity of the in vitro respiration of homologues.] Arch Int Physiol 1925;24: 356-99 (in French).
21. Couture P, Hulbert AJ. Relationship between body mass, tissue metabolic rate, and sodium pump activity in mammalian liver and kidney. Am J Physiol 1995;268:R641-50.
22. Petersen KF, Beftoy D, Dufour S, et al. Mitochondrial dysfunction in the elderly: possible role in insulin resistance. Science 2003;300: 1140-2.
23. Illner K, Brinkmann G, Heller M, Bosy-Westphal A, Müller MJ. Metabolically active components of fat free mass and resting energy expenditure in non obese adults. Am J Physiol 2000;278:E308-15.
24. Müller MJ, Bosy-Westphal A, Kutzner D, Heller M. Metabolically active components of fat-free mass and resting energy expenditure in humans: recent lessons from imaging technologies. Obesity (Silver Spring) 2002;3:113-22.
25. Hsu A, Heshka S, Janumala I, et al. Larger mass of high-metabolic-rate organs does not explain higher resting energy expenditure in children. Am J Clin Nutr 2003;77:1506-11.
26. Wang Z, Heymsfield SB, Ying Z, Pierson RN Jr, Gallagher D, Gidwani S. A cellular level approach to predicting resting energy expenditure: Evaluation of applicability in adolescents. Am J Hum Biol 2010;22:476-83.
27. Wakabayashi H, Nishiyama Y, Ushivama T, Maeba T, Maeta H. Evaluation of the effect of age on functioning hepatocyte mass and liver blood flow using liver scintigraphy in preoperative estimations for surgical patients: comparison with CT volumetry. J Surg Res 2002;106:246-53.
28. Wang Z, Heshka S,Wang J, et al. Metabolically active portion of fat-free mass: a cellular body composition level modeling analysis. Am J Physiol Endocrinol Metab 2007;292:E49-53.