Müller M J, Bosy-Westphal A, Kutzner D, Heller M
Institut für Humanernährung und Lebensmittelkunde, Agrar- und Ernährungswissenschaftliche Fakultät, Christian-Albrechts-Universität zu Kiel, Düsternbrooker Weg 17-19, D-24105 Kiel, Germany.
Obes Rev. 2002 May;3(2):113-22. doi: 10.1046/j.1467-789x.2002.00057.x.
Imaging technologies, i.e. magnetic resonance imaging (MRI), computer tomography (CT) and dual-energy X-ray absorptiometry (DEXA), are precise and accurate techniques used to study lean body mass and adipose tissue distribution. CT and MRI can also be used to assess metabolically active components of fat-free mass (FFM). (Throughout this article, metabolic activity is defined with respect to oxidative metabolism.) To date a total of 116 in vivo measurements of organ masses (OM), in combination with the measurement of resting energy expenditure (REE), have been reported. These data suggest that MRI- or CT-derived OM explains part (approximately 5-10%) of the interindividual variance in REE. The data also suggest that REE can be reconstructed from detailed body composition analysis. Calculating REE from the sum of individual OM multiplied by a constant organ tissue-respiration rate showed a high correlation between calculated and measured REE, with only small and non-significant differences of 83-96 kJ d-1. In addition to CT- and MRI-derived OM, data are available of 244 obese and non-obese subjects regarding the association between regional components of lean body mass (LBM, assessed by DEXA) and REE. These results suggest that measurement of LBM distribution also provides the opportunity to adjust for the non-linearity of REE on body mass. Assessment of metabolically active components of FFM or LBM may also add to our understanding of malnutrition-, obesity- and disease states-related variance in REE. There is need for (1) standardization of imaging technology in body composition research; (2) reference data on detailed body composition, also including more recent autopsy data; (3) reducing the number of assumptions in model-based predictions; and (4) a combination of imaging technologies with in vivo measurements of individual OM respiration.
成像技术,即磁共振成像(MRI)、计算机断层扫描(CT)和双能X线吸收法(DEXA),是用于研究瘦体重和脂肪组织分布的精确技术。CT和MRI还可用于评估去脂体重(FFM)的代谢活性成分。(在本文中,代谢活性是根据氧化代谢来定义的。)迄今为止,总共报告了116例体内器官质量(OM)测量值,并结合了静息能量消耗(REE)的测量值。这些数据表明,MRI或CT得出的OM解释了REE个体间差异的一部分(约5%-10%)。数据还表明,可以从详细的身体成分分析中重建REE。通过将各个OM的总和乘以一个恒定的器官组织呼吸率来计算REE,结果显示计算出的REE与测量出的REE之间具有高度相关性,仅存在83-96 kJ d-1的微小且无统计学意义的差异。除了CT和MRI得出的OM数据外,还有244名肥胖和非肥胖受试者关于瘦体重(LBM,通过DEXA评估)的区域成分与REE之间关联的数据。这些结果表明,测量LBM分布也为调整REE与体重之间的非线性关系提供了机会。评估FFM或LBM的代谢活性成分也可能有助于我们理解与营养不良、肥胖和疾病状态相关的REE差异。需要(1)在身体成分研究中实现成像技术的标准化;(2)获取详细身体成分的参考数据,还包括更新的尸检数据;(3)减少基于模型预测中的假设数量;以及(4)将成像技术与个体OM呼吸的体内测量相结合。