Department of Mechanical Engineering, Michigan State University, East Lansing, MI, USA.
Department of Mechanical Engineering, Michigan State University, East Lansing, MI, USA.
Comput Methods Programs Biomed. 2022 Dec;227:107188. doi: 10.1016/j.cmpb.2022.107188. Epub 2022 Oct 21.
The myocardial demand-supply feedback system plays an important role in augmenting blood supply in response to exercise-induced increased myocardial demand. During this feedback process, the myocardium and coronary blood flow interact bidirectionally at many different levels.
To investigate these interactions, a novel computational framework that considers the closed myocardial demand-supply feedback system was developed. In the framework coupling the systemic circulation of the left ventricle and coronary perfusion with regulation, myocardial work affects coronary perfusion via flow regulation mechanisms (e.g., metabolic regulation) and myocardial-vessel interactions, whereas coronary perfusion affects myocardial contractility in a closed feedback system. The framework was calibrated based on the measurements from healthy subjects under graded exercise conditions, and then was applied to simulate the effects of graded exercise on myocardial demand-supply under different physiological and pathological conditions.
We found that the framework can recapitulate key features found during exercise in clinical and animal studies. We showed that myocardial blood flow is increased but maximum hyperemia is reduced during exercise, which led to a reduction in coronary flow reserve. For coronary stenosis and myocardial inefficiency, the model predicts that an increase in heart rate is necessary to maintain the baseline cardiac output. Correspondingly, the resting coronary flow reserve is exhausted and the range of heart rate before exhaustion of coronary flow reserve is reduced. In the presence of metabolic regulation dysfunction, the model predicts that the metabolic vasodilator signal is higher at rest, saturates faster during exercise, and as a result, causes quicker exhaustion of coronary flow reserve.
Model predictions showed that the coronary flow reserve deteriorates faster during graded exercise, which in turn, suggests a decrease in exercise tolerance for patients with stenosis, myocardial inefficiency and metabolic flow regulation dysfunction. The findings in this study may have clinical implications in diagnosing cardiovascular diseases.
心肌供需反馈系统在增加血液供应以响应运动引起的心肌需求增加方面起着重要作用。在这个反馈过程中,心肌和冠状动脉血流在许多不同层面上双向相互作用。
为了研究这些相互作用,开发了一种新的计算框架,该框架考虑了闭环心肌供需反馈系统。在该框架中,左心室的全身循环和冠状动脉灌注与调节相耦合,心肌做功通过流量调节机制(例如代谢调节)和心肌血管相互作用影响冠状动脉灌注,而冠状动脉灌注在闭环反馈系统中影响心肌收缩性。该框架基于健康受试者在分级运动条件下的测量进行了校准,然后应用于模拟不同生理和病理条件下分级运动对心肌供需的影响。
我们发现该框架可以再现临床和动物研究中在运动期间发现的关键特征。我们表明,在运动期间,心肌血流增加但最大充血减少,导致冠状动脉血流储备减少。对于冠状动脉狭窄和心肌效率低下,该模型预测需要增加心率以维持基线心输出量。相应地,休息时的冠状动脉血流储备耗尽,并且在冠状动脉血流储备耗尽之前的心率范围减小。在代谢调节功能障碍的情况下,该模型预测休息时代谢性血管扩张剂信号较高,在运动期间更快地饱和,结果导致冠状动脉血流储备更快耗尽。
模型预测显示,在分级运动期间,冠状动脉血流储备恶化得更快,这反过来又表明,对于狭窄、心肌效率低下和代谢流量调节功能障碍的患者,运动耐量下降。本研究的结果可能对诊断心血管疾病具有临床意义。