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预测人体的代谢适应、体重变化和能量摄入。

Predicting metabolic adaptation, body weight change, and energy intake in humans.

机构信息

Laboratory of Biological Modeling, National Institute of Diabetes and Digestive and Kidney Diseases, Bethesda, Maryland 20892-5621, USA.

出版信息

Am J Physiol Endocrinol Metab. 2010 Mar;298(3):E449-66. doi: 10.1152/ajpendo.00559.2009. Epub 2009 Nov 24.

Abstract

Complex interactions between carbohydrate, fat, and protein metabolism underlie the body's remarkable ability to adapt to a variety of diets. But any imbalances between the intake and utilization rates of these macronutrients will result in changes in body weight and composition. Here, I present the first computational model that simulates how diet perturbations result in adaptations of fuel selection and energy expenditure that predict body weight and composition changes in both obese and nonobese men and women. No model parameters were adjusted to fit these data other than the initial conditions for each subject group (e.g., initial body weight and body fat mass). The model provides the first realistic simulations of how diet perturbations result in adaptations of whole body energy expenditure, fuel selection, and various metabolic fluxes that ultimately give rise to body weight change. The validated model was used to estimate free-living energy intake during a long-term weight loss intervention, a variable that has never previously been measured accurately.

摘要

碳水化合物、脂肪和蛋白质代谢之间的复杂相互作用是人体能够适应各种饮食的惊人能力的基础。但是,这些宏量营养素的摄入量和利用率之间的任何不平衡都会导致体重和成分的变化。在这里,我提出了第一个计算模型,该模型模拟了饮食干扰如何导致燃料选择和能量消耗的适应,从而预测肥胖和非肥胖男性和女性的体重和成分变化。除了每个受试者组的初始条件(例如,初始体重和体脂肪量)之外,没有调整任何模型参数来拟合这些数据。该模型首次提供了关于饮食干扰如何导致全身能量消耗、燃料选择和各种代谢通量适应的现实模拟,最终导致体重变化。该经过验证的模型用于估计长期减肥干预期间的自由生活能量摄入,这是以前从未准确测量过的变量。

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