Instabilities of the resting state in a mathematical model of calcium handling in cardiac myocytes

被引:3
|
作者
Tveito, Aslak [1 ,2 ,3 ]
Lines, Glenn Terje [1 ,2 ,4 ]
Hake, Johan [1 ,2 ,3 ]
Edwards, Andrew G. [3 ]
机构
[1] Oslo Univ Hosp, Ctr Biomed Comp, Simula Res Lab, Oslo, Norway
[2] Oslo Univ Hosp, Ctr Cardiol Innovat, Oslo, Norway
[3] Univ Calif San Diego, Dept Bioengn, San Diego, CA 92103 USA
[4] Univ Oslo, Dept Informat, N-0316 Oslo, Norway
基金
美国国家卫生研究院;
关键词
Calcium waves; Cardiomyocyte; Stability; Eigenvalue analysis; SARCOPLASMIC-RETICULUM; CA2+ RELEASE; VENTRICULAR MYOCYTES; WAVES; HEART; THRESHOLD; DEPOLARIZATION; PROBABILITY;
D O I
10.1016/j.mbs.2012.02.005
中图分类号
Q [生物科学];
学科分类号
07 ; 0710 ; 09 ;
摘要
We analyze a recently published model of calcium handling in cardiac myocytes in order to find conditions for the presence of instabilities in the resting state of the model. Such instabilities can create calcium waves which in turn may be able to initiate cardiac arrhythmias. The model was developed by Swietach, Spitzer and Vaughan-Jones [1] in order to study the effect, on calcium waves, of varying ryanodine receptor (RyR)-permeability, sarco/endoplasmic reticulum calcium ATPase (SERCA) and calcium diffusion. We study the model using the extracellular calcium concentration c(e) and the maximal velocity of the SERCA-pump v(SERCA) as control parameters. In the (c(e), v(SERCA))-domain we derive an explicit function v* = v* (c(e)), and we claim that any resting state based on parameters that lie above the curve (i.e. any pair (c(e), v(SERCA)) such that with v(SERCA) > v* (c(e))) is unstable in the sense that small perturbations will grow and can eventually turn into a calcium wave. And conversely: any pair (c(e), v(SERCA)) below the curve is stable in the sense that small perturbations to the resting state will decay to rest. This claim is supported by analyzing the stability of the system in terms of computing the eigenmodes of the linearized model. Furthermore, the claim is supported by direct simulations based on the non-linear model. Since the curve separating stable from unstable states is given as an explicit function, we can show how stability depends on other parameters of the model. (C) 2012 Elsevier Inc. All rights reserved.
引用
收藏
页码:97 / 107
页数:11
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