Pradhan Ranjan K, Feigl Eric O, Gorman Mark W, Brengelmann George L, Beard Daniel A
Department of Molecular and Integrative Physiology, University of Michigan, Ann Arbor, Michigan; and.
Department of Physiology and Biophysics, University of Washington, Seattle, Washington.
Am J Physiol Heart Circ Physiol. 2016 Jun 1;310(11):H1683-94. doi: 10.1152/ajpheart.00663.2015. Epub 2016 Apr 1.
A control system model was developed to analyze data on in vivo coronary blood flow regulation and to probe how different mechanisms work together to control coronary flow from rest to exercise, and under a variety of experimental conditions, including cardiac pacing and with changes in coronary arterial pressure (autoregulation). In the model coronary flow is determined by the combined action of a feedback pathway signal that is determined by the level of plasma ATP in coronary venous blood, an adrenergic open-loop (feed-forward) signal that increases with exercise, and a contribution of pressure-mediated myogenic control. The model was identified based on data from exercise experiments where myocardial oxygen extraction, coronary flow, cardiac interstitial norepinephrine concentration, and arterial and coronary venous plasma ATP concentrations were measured during control and during adrenergic and purinergic receptor blockade conditions. The identified model was used to quantify the relative contributions of open-loop and feedback pathways and to illustrate the degree of redundancy in the control of coronary flow. The results indicate that the adrenergic open-loop control component is responsible for most of the increase in coronary blood flow that occurs during high levels of exercise. However, the adenine nucleotide-mediated metabolic feedback control component is essential. The model was evaluated by predicting coronary flow in cardiac pacing and autoregulation experiments with reasonable fits to the data. The analysis shows that a model in which coronary venous plasma adenine nucleotides are a signal in local metabolic feedback control of coronary flow is consistent with the available data.
开发了一种控制系统模型,用于分析体内冠状动脉血流调节数据,并探究不同机制如何共同作用,以在从静息到运动的状态下,以及在包括心脏起搏和冠状动脉压力变化(自动调节)等各种实验条件下控制冠状动脉血流。在该模型中,冠状动脉血流由以下因素的联合作用决定:一个由冠状静脉血中血浆ATP水平决定的反馈通路信号、一个随运动增加的肾上腺素能开环(前馈)信号,以及压力介导的肌源性控制作用。该模型是基于运动实验数据确定的,在这些实验中,测量了对照期间以及肾上腺素能和嘌呤能受体阻断条件下的心肌氧摄取、冠状动脉血流、心脏间质去甲肾上腺素浓度以及动脉和冠状静脉血浆ATP浓度。所确定的模型用于量化开环和反馈通路的相对贡献,并说明冠状动脉血流控制中的冗余程度。结果表明,肾上腺素能开环控制成分是高水平运动期间冠状动脉血流增加的主要原因。然而,腺嘌呤核苷酸介导的代谢反馈控制成分至关重要。通过在心脏起搏和自动调节实验中预测冠状动脉血流并与数据进行合理拟合,对该模型进行了评估。分析表明,一种将冠状静脉血浆腺嘌呤核苷酸作为冠状动脉血流局部代谢反馈控制信号的模型与现有数据一致。