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Updated: Feb 7, 2026
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Determining Basal Energy Expenditure and the Capacity of Thermogenic Adipocytes to Expend Energy in Obese Mice
Published on: November 11, 2021
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Human energy expenditure: advances in organ-tissue prediction models
S B Heymsfield1, C M Peterson2, B Bourgeois1
1Pennington Biomedical Research Center, Baton Rouge, LA, USA.
Summary
Resting energy expenditure (REE) in humans can be better predicted by measuring organ and tissue masses and their metabolic rates. This organ-tissue model approach offers new insights into energy metabolism and related health conditions.
Area of Science:
- Physiology
- Metabolic research
- Systems biology
Background:
- Resting energy expenditure (REE) is crucial for human metabolism.
- Current statistical REE prediction models lack organ-specific mechanistic insights.
- A gap exists in understanding the underlying mechanisms of resting heat production.
Purpose of the Study:
- To explore advanced energy expenditure models.
- To introduce organ-tissue mass-based REE prediction.
- To provide a framework for future energy expenditure research.
Main Methods:
- Estimating REE using summated heat production from individual organs and tissues.
- Utilizing advanced imaging technologies for in vivo mass measurement.
- Combining organ/tissue mass with mass-specific metabolic rates.
Main Results:
- REE can be accurately estimated from organ-tissue mass and metabolic rates.
- Organ-tissue models offer a systems-level approach to REE prediction.
- This approach has potential for understanding structure-function relationships.
Conclusions:
- Organ-tissue models represent the next frontier in REE prediction.
- These models can elucidate how organ mass changes affect interacting systems.
- Future research can build upon this framework for enhanced metabolic understanding.
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