Cabrera M E, Saidel G M, Kalhan S C
Department of Biomedical Engineering, Case Western Reserve University, and Rainbow Babies and Childrens Hospital, Cleveland, OH 44106-6011, USA.
Ann Biomed Eng. 1998 Jan-Feb;26(1):1-27. doi: 10.1114/1.28.
The mechanistic basis of the relationship between O2 and lactate concentration in muscle is not fully understood. Although hypoxia can cause lactate (LA) accumulation, it is possible for LA accumulation to occur without hypoxia. Nevertheless, during conditions of low O2 availability, blood and tissue LA accumulation are used as indicators of hypoxia. To provide a framework for analyzing changes in energy metabolism and its regulation, we developed a mathematical model of human bioenergetics that links cellular metabolic processes to whole-body responses. Our model is based on dynamic mass balances and mechanistic kinetics in muscle, splanchnic and other body tissues for many substrates (glycogen, glucose, pyruvate, LA, O2, CO2, etc.) and control metabolites (e.g., ATP) through coupled reaction processes. Normal substrate concentrations in blood and tissues as well as model parameters are obtained directly or estimated indirectly from physiological observation in the literature. The model equations are solved numerically to simulate substrate concentration changes in tissues in response to disturbances. One key objective is to examine and quantify the mechanisms that control LA accumulation when O2 availability to the muscle is lowered. Another objective is to quantify the contribution of different tissues to an observed increase in blood lactate concentration. Simulations of system responses to respiratory hypoxia were examined and compared to physiological observations. Model simulations show patterns of change for substrates and control metabolites that behave similarly to those found experimentally. From the simulations, it is evident that a large decrease can occur in muscle O2 concentration, without affecting muscle respiration (Um,O2) significantly. However, a small decrease in Um,O2 (1%-2%) can result in a large increase in LA production (50%-100%). The cellular rate of oxygen consumption, Um,O2, which is coupled to ATP formation and NADH oxidation, can regulate other processes (e.g., glycolysis, pyruvate reduction) with high sensitivity through its effects on ADP/ATP and NADH/NAD. Thus, although LA metabolism does not depend directly on O2 concentration, it is indirectly affected by Um,O2, through changes in ADP/ATP, and NADH/NAD. Arterial LA concentration (Ca,LA) follows the pattern of change of muscle LA concentration (Cm,LA). Nevertheless, changes in Ca,LA, due to Cm,LA, are unlikely to be detected experimentally because changes in Cm,LA are small relative to the total LA concentrations in other tissues.
肌肉中氧气(O₂)与乳酸浓度之间关系的机制基础尚未完全明确。尽管缺氧会导致乳酸(LA)积累,但在无缺氧情况下也可能发生LA积累。然而,在低氧供应条件下,血液和组织中的LA积累被用作缺氧的指标。为了提供一个分析能量代谢变化及其调节的框架,我们开发了一个人体生物能学数学模型,该模型将细胞代谢过程与全身反应联系起来。我们的模型基于肌肉、内脏及其他身体组织中多种底物(糖原、葡萄糖、丙酮酸、LA、O₂、CO₂等)和控制代谢物(如ATP)通过耦合反应过程的动态质量平衡和机制动力学。血液和组织中的正常底物浓度以及模型参数直接取自或间接估计自文献中的生理观察数据。通过数值求解模型方程来模拟组织中底物浓度对干扰的变化。一个关键目标是研究和量化当肌肉的氧气供应降低时控制LA积累的机制。另一个目标是量化不同组织对观察到的血液乳酸浓度升高的贡献。对系统对呼吸性缺氧反应的模拟进行了研究,并与生理观察结果进行了比较。模型模拟显示底物和控制代谢物的变化模式与实验中发现的相似。从模拟结果可以明显看出,肌肉中的O₂浓度可能会大幅下降,而不会显著影响肌肉呼吸(Um,O₂)。然而,Um,O₂的小幅下降(1%-2%)可能会导致LA生成大幅增加(50%-100%)。与ATP形成和NADH氧化耦合的细胞耗氧率Um,O₂可通过其对ADP/ATP和NADH/NAD的影响,以高灵敏度调节其他过程(如糖酵解、丙酮酸还原)。因此,尽管LA代谢并不直接依赖于O₂浓度,但它会通过ADP/ATP和NADH/NAD的变化而受到Um,O₂的间接影响。动脉血LA浓度(Ca,LA)遵循肌肉LA浓度(Cm,LA)的变化模式。然而,由于Cm,LA导致的Ca,LA变化在实验中不太可能被检测到,因为相对于其他组织中的总LA浓度,Cm,LA的变化较小。