Selinger Jessica C, Donelan J Maxwell
Department of Biomedical Physiology and Kinesiology, Simon Fraser University, Burnaby, Canada
Department of Biomedical Physiology and Kinesiology, Simon Fraser University, Burnaby, Canada.
J Appl Physiol (1985). 2014 Dec 1;117(11):1406-15. doi: 10.1152/japplphysiol.00445.2014. Epub 2014 Sep 25.
Respiratory measures of oxygen and carbon dioxide are routinely used to estimate the body's steady-state metabolic energy use. However, slow mitochondrial dynamics, long transit times, complex respiratory control mechanisms, and high breath-by-breath variability obscure the relationship between the body's instantaneous energy demands (instantaneous energetic cost) and that measured from respiratory gases (measured energetic cost). The purpose of this study was to expand on traditional methods of assessing metabolic cost by estimating instantaneous energetic cost during non-steady-state conditions. To accomplish this goal, we first imposed known changes in energy use (input), while measuring the breath-by-breath response (output). We used these input/output relationships to model the body as a dynamic system that maps instantaneous to measured energetic cost. We found that a first-order linear differential equation well approximates transient energetic cost responses during gait. Across all subjects, model fits were parameterized by an average time constant (τ) of 42 ± 12 s with an average R(2) of 0.94 ± 0.05 (mean ± SD). Armed with this input/output model, we next tested whether we could use it to reliably estimate instantaneous energetic cost from breath-by-breath measures under conditions that simulated dynamically changing gait. A comparison of the imposed energetic cost profiles and our estimated instantaneous cost demonstrated a close correspondence, supporting the use of our methodology to study the role of energetics during locomotor adaptation and learning.
氧气和二氧化碳的呼吸测量通常用于估计身体的稳态代谢能量消耗。然而,线粒体动力学缓慢、传输时间长、呼吸控制机制复杂以及逐次呼吸的高变异性掩盖了身体的瞬时能量需求(瞬时能量消耗)与从呼吸气体测量得到的能量消耗(测量得到的能量消耗)之间的关系。本研究的目的是通过估计非稳态条件下的瞬时能量消耗来扩展评估代谢消耗的传统方法。为实现这一目标,我们首先在测量逐次呼吸反应(输出)的同时,施加已知的能量使用变化(输入)。我们利用这些输入/输出关系将身体建模为一个动态系统,该系统将瞬时能量消耗映射为测量得到的能量消耗。我们发现,一阶线性微分方程能很好地近似步态期间的瞬时代谢能量消耗反应。在所有受试者中,模型拟合的参数为平均时间常数(τ)42±12秒,平均R²为0.94±0.05(均值±标准差)。基于这个输入/输出模型,我们接下来测试在模拟动态变化步态的条件下,是否可以使用它从逐次呼吸测量中可靠地估计瞬时能量消耗。将施加的能量消耗曲线与我们估计的瞬时能量消耗进行比较,结果显示两者密切对应,这支持了我们使用该方法来研究能量学在运动适应和学习过程中的作用。