Mechanistic model of mass-specific basal metabolic rate: evaluation in healthy young adults.

Z Wang, A Bosy-Westphal, B Schautz, M Müller
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Abstract

Mass-specific basal metabolic rate (mass-specific BMR), defined as the resting energy expenditure per unit body mass per day, is an important parameter in energy metabolism research. However, a mechanistic explanation for magnitude of mass-specific BMR remains lacking. The objective of the present study was to validate the applicability of a proposed mass-specific BMR model in healthy adults. A mechanistic model was developed at the organ-tissue level, mass-specific BMR = Σ(Ki × Fi), where Fi is the fraction of body mass as individual organs and tissues, and Ki is the specific resting metabolic rate of major organs and tissues. The Fi values were measured by multiple MRI scans and the Ki values were suggested by Elia in 1992. A database of healthy non-elderly non-obese adults (age 20 - 49 yrs, BMI <30 kg/m2) included 49 men and 57 women. Measured and predicted mass-specific BMR of all subjects was 21.6 ± 1.9 (mean ± SD) and 21.7 ± 1.6 kcal/kg per day, respectively. The measured mass-specific BMR was correlated with the predicted mass-specific BMR (r = 0.82, P <0.001). A Bland-Altman plot showed no significant trend (r = 0.022, P = 0.50) between the measured and predicted mass-specific BMR, versus the average of measured and predicted mass-specific BMR. In conclusion, the proposed mechanistic model was validated in non-elderly non-obese adults and can help to understand the inherent relationship between mass-specific BMR and body composition.

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质量特异性基础代谢率的机制模型:对健康年轻人的评估。
体重特异性基础代谢率(mass-specific BMR)是指每天单位体重的静息能量消耗,是能量代谢研究中的一个重要参数。然而,目前仍缺乏对体重特异性基础代谢率大小的机理解释。本研究的目的是验证所提出的体重特异性 BMR 模型在健康成年人中的适用性。在器官-组织水平上建立了一个机理模型:质量特异性基础代谢率 = Σ(Ki × Fi),其中 Fi 是单个器官和组织占体重的比例,Ki 是主要器官和组织的特异性静息代谢率。Fi 值是通过多次核磁共振扫描测得的,而 Ki 值是由 Elia 于 1992 年提出的。一个健康的非老年非肥胖成年人(年龄 20 - 49 岁,体重指数 2)数据库包括 49 名男性和 57 名女性。所有受试者的测量值和预测值分别为每天 21.6 ± 1.9 千卡/千克(平均值 ± SD)和 21.7 ± 1.6 千卡/千克(平均值 ± SD)。测量的特定体重生物量与预测的特定体重生物量之间存在相关性(r = 0.82,P P = 0.50),测量的特定体重生物量与预测的特定体重生物量之间存在相关性,测量的特定体重生物量与预测的特定体重生物量之间存在相关性,测量的特定体重生物量与预测的特定体重生物量之间存在相关性,测量的特定体重生物量与预测的特定体重生物量之间存在相关性。总之,所提出的机理模型在非老年非肥胖成年人中得到了验证,有助于理解质量特异性基础代谢率与身体成分之间的内在关系。
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