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Specific metabolic rates of major organs and tissues across adulthood: evaluation by mechanistic model of resting energy expenditure
Open accessAbstract
Background The specific resting metabolic rates (K(i); in kcal · kg(-1 )· d(-1)) of major organs and tissues in adults were suggested by Elia (in Energy metabolism: tissue determinants and cellular corollaries. New York, NY: Raven Press, 1992) to be as follows: 200 for liver, 240 for brain, 440 for heart and kidneys, 13 for skeletal muscle, 4.5 for adipose tissue, and 12 for residual organs and tissues. However, Elia's K(i) values have never been fully evaluated.Objectives The objectives of the present study were to evaluate the applicability of Elia's K(i) values across adulthood and to explore the potential influence of age on the K(i) values.Design A new approach was developed to evaluate the K(i) values of major organs and tissues on the basis of a mechanistic model: REE = Σ(K(i) × T(i)), where REE is whole-body resting energy expenditure measured by indirect calorimetry, and T(i) is the mass of individual organs and tissues measured by magnetic resonance imaging. With measured REE and T(i), marginal 95% CIs for K(i) values were calculated by stepwise univariate regression analysis. An existing database of nonobese, healthy adults [n = 131; body mass index (in kg/m²) <30] was divided into 3 age groups: 21-30 y (young, n = 43), 31-50 y (middle-age, n = 51), and > 50 y (n = 37).Results Elia's K(i) values were within the range of 95% CIs in the young and middle-age groups. However, Elia's K(i) values were outside the right boundaries of 95% CIs in the >50-y group, which indicated that Elia's study overestimated K(i) values by 3% in this group. Age-adjusted K(i) values for adults aged >50 y were 194 for liver, 233 for brain, 426 for heart and kidneys, 12.6 for skeletal muscle, 4.4 for adipose tissue, and 11.6 for residuals.Conclusion The general applicability of Elia's K(i) values was validated across adulthood, although age adjustment is appropriate for specific applications.
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“The first position was that muscle tissue during activity or occlusion situations would represent the highest metabolic activity in comparison to other peripheral tissue being measured.43”
From Near-infrared spectroscopy-derived muscle oxygen saturation on a 0% to 100% scale: reliability and validity of the Moxy Monitor (2019) · cites this paper as [43]
In the citing paper
“consistent with previous work indicating that tissue-specific metabolic rates are elevated in children and adolescents (22, 24) and reduced in older adults (21, 23, 25).”
From Daily energy expenditure through the human life course (2021) · cites this paper as [23]
In the citing paper
“At rest, the tissue-specific metabolic rates (Watts/gram) of the heart, liver, brain, and kidneys are much greater than those of the muscles and other lean tissue or fat (21–25).”
From Daily energy expenditure through the human life course (2021) · cites this paper as [23]
In the citing paper
“However, after considering the average adult weight of these organs, brain (1.33 kg) and muscle (26.3 kg) emerge as the most metabolically active structures, even at rest [25].”
From Vitamins and Minerals for Energy, Fatigue and Cognition: A Narrative Review of the Biochemical and Clinical Evidence (2020) · cites this paper as [25]
In the citing paper
“Under resting conditions, the fractional daily energy expenditure is the highest for heart and kidney (each approximately 440 kcal/kg), then for the brain (approximately 240 kcal/kg), then the liver (200 kcal/kg), while the resting skeletal muscle would need only approximately 13 kcal/kg.”
From Vitamins and Minerals for Energy, Fatigue and Cognition: A Narrative Review of the Biochemical and Clinical Evidence (2020) · cites this paper as [25]
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Metadata
- Authors
- Wang, Z., Ying, Z., Bosy-Westphal, A., Zhang, J., Schautz, B., Later, W., Heymsfield, S. B., & Müller, M. J.
- Affiliations
- St. Luke's-Roosevelt Hospital Center (US)
- Pennington Biomedical Research Center (US)
- Venue
- The American Journal of Clinical Nutrition
- Publisher
- Elsevier BV
- Published
- 2010-12
- Volume
- 92
- Issue
- 6
- Pages
- 1369-1377
- ISSN
- 0002-9165 (ISSN-L)
- PMC
- PMC2980962
- OpenAlex
- W2123746079
- Cited by
- 546
- References
- 33
- Citations by year
- 2026: 55 · 2025: 61 · 2024: 52 · 2023: 60 · 2022: 48 · 2021: 56 · 2020: 56 · 2019: 41 · 2018: 38 · 2017: 25 · 2016: 10 · 2015: 14 · 2014: 7 · 2013: 11 · 2012: 6
- FWCI
- 4.76
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- Locations
- American Journal of Clinical Nutrition (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Funders
- Deutsche Forschungsgemeinschaft
- National Institutes of Health
- National Institute of Diabetes and Digestive and Kidney Diseases (R21DK081633, DK081633)
- Topics
- Health Sciences › Medicine › Physiology (medical) › Body Composition Measurement Techniques
- Health Sciences › Nursing › Nutrition and Dietetics › Clinical Nutrition and Gastroenterology
- Health Sciences › Medicine › Physiology (medical) › Adipose Tissue and Metabolism
- Keywords
- resting energy expenditure, specific metabolic rate, hepatic metabolism, brain metabolism, skeletal muscle, adipose tissue, healthy adults, indirect calorimetry
- MeSH terms
- Adipose Tissue, Adult, Age Factors, Basal Metabolism, Brain, Energy Metabolism, Female, Heart, Humans, Kidney, Liver, Male, Middle Aged, Models, Biological, Reference Values, Regression Analysis, Muscle, Skeletal, Young Adult
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
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