School of Systems Biology, George Mason University, Fairfax, VA 22030, USA.
School of Computer, Mathematical, and Natural Sciences, Morgan State University, Baltimore, MD 21251, USA.
Biomolecules. 2022 Oct 27;12(11):1577. doi: 10.3390/biom12111577.
Calcium sparks are the elementary Ca release events in excitation-contraction coupling that underlie the Ca transient. The frequency-dependent contractile force generated by cardiac myocytes depends upon the characteristics of the Ca transients. A stochastic computational local control model of a guinea pig ventricular cardiomyocyte was developed, to gain insight into mechanisms of force-frequency relationship (FFR). This required the creation of a new three-state RyR2 model that reproduced the adaptive behavior of RyR2, in which the RyR2 channels transition into a different state when exposed to prolonged elevated subspace [Ca]. The model simulations agree with previous experimental and modeling studies on interval-force relations. Unlike previous common pool models, this local control model displayed stable action potential trains at 7 Hz. The duration and the amplitude of the [Ca] transients increase in pacing rates consistent with the experiments. The [Ca] transient reaches its peak value at 4 Hz and decreases afterward, consistent with experimental force-frequency curves. The model predicts, in agreement with previous modeling studies of Jafri and co-workers, diastolic sarcoplasmic reticulum, [Ca], and RyR2 adaptation increase with the increased stimulation frequency, producing rising, rather than falling, amplitude of the myoplasmic [Ca] transients. However, the local control model also suggests that the reduction of the L-type Ca current, with an increase in pacing frequency due to Ca-dependent inactivation, also plays a role in the negative slope of the FFR. In the simulations, the peak Ca transient in the FFR correlated with the highest numbers of SR Ca sparks: the larger average amplitudes of those sparks, and the longer duration of the Ca sparks.
钙火花是兴奋-收缩偶联中基本的钙释放事件,是钙瞬变的基础。心肌细胞产生的频率依赖性收缩力取决于钙瞬变的特征。开发了一种豚鼠心室肌细胞的随机计算局部控制模型,以深入了解力频率关系(FFR)的机制。这需要创建一个新的三态 RyR2 模型,该模型再现了 RyR2 的适应性行为,其中 RyR2 通道在暴露于长时间升高的亚空间 [Ca] 时会转变为不同的状态。模型模拟与之前关于间隔力关系的实验和建模研究一致。与之前常见的池模型不同,这种局部控制模型在 7 Hz 时显示出稳定的动作电位列车。随着起搏频率的增加,[Ca] 瞬变的持续时间和幅度增加,与实验一致。[Ca] 瞬变在 4 Hz 时达到峰值,随后降低,与实验力频率曲线一致。该模型预测,与 Jafri 及其同事之前的建模研究一致,舒张肌浆网、[Ca] 和 RyR2 适应随着刺激频率的增加而增加,产生上升而不是下降的肌浆 [Ca] 瞬变幅度。然而,局部控制模型还表明,由于 Ca 依赖性失活,起搏频率增加导致 L 型 Ca 电流减少,也在 FFR 的负斜率中起作用。在模拟中,FFR 中的峰值钙瞬变与 SR 钙火花的最大数量相关:这些火花的平均幅度越大,钙火花的持续时间越长。