Organ-tissue mass measurement allows modeling of REE and metabolically active tissue mass
Organ-tissue mass measurement allows modeling of REE and metabolically active tissue mass
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DOI：
10.1152/ajpendo.1998.275.2.e249
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发表时间：
1998-08-01
影响因子：
5.1
通讯作者：
Heymsfield, SB
中科院分区：
文献类型：
--
作者：
Gallagher, D;Belmonte, D;Heymsfield, SB
一个多世纪以来，研究人员一直对静息能量消耗（REE）和体重之间的关系感兴趣。传统上，使用回归分析的描述性模型，将REE与代谢活性区室（如体细胞质量（BCM）和无脂体质量（FFM））联系起来。最近发展的全身磁共振成像（MRI）和超声心动图方法现在可以估计体内所有主要器官和组织体积。由于单个器官和组织的REE、BCM和FFM含量的测量值是可用的，现在应该有可能开发基于mri测量的器官组织体积的能量消耗-身体成分估计模型。具体来说，本研究验证了一个假设，即利用MRI和超声心动图衍生的器官体积结合先前报道的器官组织代谢率和化学成分，可以在体内估计全身REE、BCM和FFM。13例受试者（女5例，男8例）分别采用间接量热法、全身K-40计数法和双能x线吸收法测定REE、BCM和FFM。由估算变量和测量变量建立的模型高度相关，估算变量和测量变量之间无显著差异[例如，计算REE与测量REE: r = 0.92, P < 0.001；（mean +/- SD）分别为6,962 +/- 1,455和7,045 +/- 1,450千焦/天（P =无统计学意义）]。REE、单个或组合器官重量、BCM和FFM之间存在很强的相关性，这为早期观察到的代谢现象提供了新的见解。目前的方法是第一个用体内机制模型建立能量消耗-身体组成联系的方法，有可能极大地扩展我们对人类能量消耗-身体大小关系的认识。
Investigators have expressed interest in the associations between resting energy expenditure (REE) and body mass for over a century. Traditionally, descriptive models using regression analysis are applied, linking REE with metabolically active compartments such as body cell mass (BCM) and fat-free body mass (FFM). Recently developed whole body magnetic resonance imaging (MRI) and echocardiography methods now allow estimation of all major organs and tissue volumes in vivo. Because measured values are available for REE, BCM, and FFM content of individual organs and tissues, it should now be possible to develop energy expenditure-body composition estimation models based on MRI-measured organ-tissue volumes. Specifically, the present investigation tested the hypothesis that in vivo estimation of whole body REE, BCM, and FFM is possible using MRI- and echocardiography-derived organ volumes combined with previously reported organ-tissue metabolic rates and chemical composition. Thirteen subjects (5 females, 8 males) had REE, BCM, and FFM measured by indirect calorimetry, whole body K-40 counting, and dual-energy X-ray absorptiometry, respectively. Models developed from estimated and measured variables were highly correlated, with no significant differences between those estimated and measured [e.g., calculated vs, measured REE: r = 0.92, P < 0.001; (mean +/- SD) 6,962 +/- 1,455 and 7,045 +/- 1,450 kJ/day, respectively (P = not significant)]. Strong associations were observed between REE, individual or combined organ weights, BCM, and FFM that provide new insights into earlier observed metabolic phenomena. The present approach, the first to establish an energy expenditure-body composition link with a mechanistic model in vivo, has the potential to greatly expand our knowledge of energy expenditure-body size relationships in humans.