Multilevel metabolic adaptation to exercise training

多层次代谢适应运动训练

阅读:2

Abstract

BACKGROUND: Exercise training often produces less weight loss than expected, a phenomenon termed exercise-induced energy compensation, but the underlying mechanisms remain unclear. This study aimed to quantify metabolic and behavioral compensation to aerobic exercise training. METHODS: Sixteen sedentary adults with overweight completed a 12-week supervised aerobic walking intervention targeting an energy expenditure of 20 kcal/kg/week. Total daily energy expenditure was measured using doubly labeled water, and whole-room calorimetry was used to assess changes in resting and sleeping metabolic rate (RMR, SMR) and diet-induced thermogenesis (DIT). Volumes of highly metabolic organs were quantified by magnetic resonance imaging. Physical activity was monitored objectively, walking economy was assessed during standardized treadmill walking, and dietary intake was evaluated using self-report and intake-balance methods. A parallel mouse exercise model was used to explore tissue-level adaptations. RESULTS: Exercise training induces substantial energy compensation, resulting in minimal body weight loss despite improved body composition. Total daily energy expenditure increases, while RMR and SMR decrease, accounting for most of the compensatory response. Liver and kidney volumes decrease by 5%, while brain volume remains unchanged. Exercise improves walking economy and leads to smaller-than-expected increases in daily moderate-to-vigorous physical activity. Dietary intake and DIT remain unchanged. In mice, exercise is associated with increased cellular density and mitochondrial content in the liver, indicating structural and metabolic remodeling. CONCLUSIONS: Aerobic exercise training engages compensatory physiological and behavioral mechanisms that constrain energy expenditure. Reductions in basal metabolism, improved movement efficiency, and selective remodeling of metabolically active organs may collectively limit exercise-induced weight loss.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。