Bugenhagen Scott M, Beard Daniel A
Department of Physiology, Medical College of Wisconsin, Milwaukee, WI 53226, USA.
Phys Biol. 2015 Sep 11;12(5):056008. doi: 10.1088/1478-3975/12/5/056008.
Force-frequency relationships of isolated cardiac myocytes show complex behaviors that are thought to be specific to both the species and the conditions associated with the experimental preparation. Ca(2+) signaling plays an important role in shaping the force-frequency relationship, and understanding the properties of the force-frequency relationship in vivo requires an understanding of Ca(2+) dynamics under physiologically relevant conditions. Ca(2+) signaling is itself a complicated process that is best understood on a quantitative level via biophysically based computational simulation. Although a large number of models are available in the literature, the models are often a conglomeration of components parameterized to data of incompatible species and/or experimental conditions. In addition, few models account for modulation of Ca(2+) dynamics via β-adrenergic and calmodulin-dependent protein kinase II (CaMKII) signaling pathways even though they are hypothesized to play an important regulatory role in vivo. Both protein-kinase-A and CaMKII are known to phosphorylate a variety of targets known to be involved in Ca(2+) signaling, but the effects of these pathways on the frequency- and inotrope-dependence of Ca(2+) dynamics are not currently well understood. In order to better understand Ca(2+) dynamics under physiological conditions relevant to rat, a previous computational model is adapted and re-parameterized to a self-consistent dataset obtained under physiological temperature and pacing frequency and updated to include β-adrenergic and CaMKII regulatory pathways. The necessity of specific effector mechanisms of these pathways in capturing inotrope- and frequency-dependence of the data is tested by attempting to fit the data while including and/or excluding those effector components. We find that: (1) β-adrenergic-mediated phosphorylation of the L-type calcium channel (LCC) (and not of phospholamban (PLB)) is sufficient to explain the inotrope-dependence; and (2) that CaMKII-mediated regulation of neither the LCC nor of PLB is required to explain the frequency-dependence of the data.
分离的心肌细胞的力-频率关系表现出复杂的行为,这些行为被认为特定于物种以及与实验制备相关的条件。钙(Ca(2+))信号传导在塑造力-频率关系中起重要作用,而要理解体内力-频率关系的特性,就需要了解生理相关条件下的钙动力学。钙信号传导本身是一个复杂的过程,通过基于生物物理学的计算模拟在定量水平上能得到最好的理解。尽管文献中有大量模型,但这些模型通常是由针对不相容物种和/或实验条件的数据进行参数化的组件拼凑而成。此外,很少有模型考虑通过β-肾上腺素能和钙调蛋白依赖性蛋白激酶II(CaMKII)信号通路对钙动力学的调节,尽管据推测它们在体内起重要的调节作用。蛋白激酶A和CaMKII都已知会磷酸化多种参与钙信号传导的靶点,但目前这些通路对钙动力学的频率依赖性和变力性依赖性的影响尚未得到很好的理解。为了更好地理解与大鼠相关的生理条件下的钙动力学,对之前的一个计算模型进行了调整,并针对在生理温度和起搏频率下获得的自洽数据集重新进行参数化,并更新以纳入β-肾上腺素能和CaMKII调节通路。通过在包含和/或排除那些效应器组件的情况下尝试拟合数据,测试了这些通路的特定效应机制在捕捉数据的变力性和频率依赖性方面的必要性。我们发现:(1)β-肾上腺素能介导的L型钙通道(LCC)(而非受磷蛋白(PLB))磷酸化足以解释变力性依赖性;(2)CaMKII介导的对LCC或PLB的调节对于解释数据的频率依赖性并非必需。