AJP - Heart Calcium Transients and Cell-Sarcomere
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Am J Physiol Heart Circ Physiol 286: H1154-H1169, 2004. First published November 20, 2003; doi:10.1152/ajpheart.00168.2003
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A model of graded calcium release and L-type Ca2+ channel inactivation in cardiac muscle

Vladimir E. Bondarenko, Glenna C. L. Bett, and Randall L. Rasmusson

Department of Physiology and Biophysics, University at Buffalo, State University of New York, Buffalo, New York 14214

Submitted 20 February 2003 ; accepted in final form 6 November 2003


    ABSTRACT
 TOP
 ABSTRACT
 METHODS
 RESULTS
 DISCUSSION
 APPENDIX A: DIFFERENTIAL...
 APPENDIX B: CALCIUM CURRENTS
 APPENDIX C: CALCIUM FLUXES
 REFERENCES
 
We have developed a model of Ca2+ handling in ferret ventricular myocytes. This model includes a novel L-type Ca2+ channel, detailed intracellular Ca2+ movements, and graded Ca2+-induced Ca2+ release (CICR). The model successfully reproduces data from voltage-clamp experiments, including voltage- and time-dependent changes in intracellular Ca2+ concentration ([Ca2+]i), L-type Ca2+ channel current (ICaL) inactivation and recovery kinetics, and Ca2+ sparks. The development of graded CICR is critically dependent on spatial heterogeneity and the physical arrangement of calcium channels in opposition to ryanodine-sensitive release channels. The model contains spatially distinct subsystems representing the subsarcolemmal regions where the junctional sarcoplasmic reticulum (SR) abuts the T-tubular membrane and where the L-type Ca2+ channels and SR ryanodine receptors (RyRs) are localized. There are eight different types of subsystems in our model, with between one and eight L-type Ca2+ channels distributed binomially. This model exhibits graded CICR and provides a quantitative description of Ca2+ dynamics not requiring Monte-Carlo simulations. Activation of RyRs and release of Ca2+ from the SR depend critically on Ca2+ entry through L-type Ca2+ channels. In turn, Ca2+ channel inactivation is critically dependent on the release of stored intracellular Ca2+. Inactivation of ICaL depends on both transmembrane voltage and local [Ca2+]i near the channel, which results in distinctive inactivation properties. The molecular mechanisms underlying many ICaL gating properties are unclear, but [Ca2+]i dynamics clearly play a fundamental role.

myocytes; computer simulation; inactivation; calcium-induced calcium release; excitation-contraction coupling


CALCIUM IS OF VITAL IMPORTANCE in cells as both a transmembrane electrical signaling ion and a second messenger (35, 7, 36, 50, 59). The diverse range of Ca2+-mediated effects is particularly evident in cardiac myocytes, where the initial transmembrane flux of ions through L-type Ca2+ channels contributes to the action potential (6, 25, 40, 46). The entering Ca2+ then initiates Ca2+-induced Ca2+ release (CICR) from the sarcoplasmic reticulum (SR), which gives rise to the intracellular Ca2+ concentration ([Ca2+]i) transient, which in turn affects muscle contraction, transmitter release, gene transcription, channel modulation, etc. (5, 10, 18, 36, 59, 73). [Ca2+]i cycling is a fundamental part of normal cellular function, so any malfunction or perturbation of the systems that handle Ca2+ can result in heart failure or fibrillation (21, 33, 44, 45, 49, 58, 60, 67, 69, 75).

Recently, CICR has been observed at the subcellular level in the form of Ca2+ "sparks," which are extremely large, extremely localized increases in [Ca2+] (18, 19, 29, 34, 35). Spontaneously occurring sparks have been observed. They can trigger a subcellular Ca2+ wave that can propagate throughout the cell (17, 30, 35). Ca2+ sparks were initially thought to reflect the opening and closing of a single SR ryanodine receptor (RyR) (18). However, they have been subsequently shown to be the result of the opening of a single L-type Ca2+ channel (38), which is sufficient to initiate CICR from a cluster of RyRs (36). The number and timing of sparks depend in a nonmonotonic manner on the amplitude of the membrane depolarization.

One of the most important features of intracellular [Ca2+] cycling is the graded release of Ca2+ from the SR (9, 11, 14). Recently, Rice et al. (57) published a model of graded CICR based on a Monte-Carlo simulation with a bell-shaped profile for the both integrated and peak RyR Ca2+ release fluxes. Our model generates graded release through biophysically distinct mechanisms. The Rice et al. model (57) postulates that graded release occurs through stochastic changes in the release channel. Subsequent variants (64) added additional deterministic elements of structure, but the main mechanism of graded release remained stochastic. In contrast, our model assumes a physiological variability in diadic junction morphology to generate graded release. The models are, therefore, inherently different at a qualitative level, and there will be testable differences in predicted behavior between these models.

In this paper, we present a new model of cardiac Ca2+ handling that incorporates a novel Markov model for L-type Ca2+ channels and graded SR Ca2+ release in response to voltage-clamp simulations. We hypothesize that the structural inhomogeneity of the local calcium release subsystems is responsible for graded release. To model this situation, we introduced eight calcium release subsystems with different characteristics. The model myocyte has a series of physically distinct subsystems that represent the area where the junctional SR comes in close proximity to the T-tubular membrane. Each subsystem is a relatively small subspace volume bounded by the sarcolemma, which contains between one and eight L-type Ca2+ channels, and the junctional SR. The SR surface exposed to the subsystem has a cluster of RyRs that release Ca2+ into the subsystem volume. The subsystems are distributed throughout the model cell, with the number of L-type Ca2+ channels in each subsystem determined by a binomial weighting function. CICR is triggered from the cluster of RyRs in the subsystem when the amount of Ca2+ entering the subspace via the L-type Ca2+ channels is sufficiently large. We also developed a new Markov model for the L-type Ca2+ channel. This L-type Ca2+ channel current (ICaL) gating model is based on emerging structure and function data on L-type channels and related voltage-gated Na+ and K+ channels. It contains one activation pathway with four closed states and a final open state. Our model explicitly includes Ca2+- and voltage-dependent inactivation mechanisms and recovery pathways from each inactivated state. The model reproduces the experimental behavior of ICaL in isolated ventricular cardiac myocytes. It also offers an explanation of relationship between membrane voltage and the number of elementary Ca2+ sparks observed (as determined by confocal scanning microscopy experiments).


    METHODS
 TOP
 ABSTRACT
 METHODS
 RESULTS
 DISCUSSION
 APPENDIX A: DIFFERENTIAL...
 APPENDIX B: CALCIUM CURRENTS
 APPENDIX C: CALCIUM FLUXES
 REFERENCES
 
Model myocyte. The currents, fluxes, and physical layout of the model cell are shown in Fig. 1. Depolarization of the cell membrane opens voltage-gated L-type Ca2+ channels, which allow Ca2+ to enter the subspace volume (Vss) and increase the subspace Ca2+ concentration ([Ca2+]ss). The entering calcium (ICaL) triggers CICR from the junctional SR (Jrel), which induces further CICR and inactivates ICaL (65). Ca2+ in the subspace diffuses from the subsystem to the general cytosol (Jxfer), where it contributes to [Ca2+]i. Calcium leaves the general cytosol by being pumped back into the SR by SR Ca2+-ATPase (Jup), pumped across the cell membrane by the sarcolemmal Ca2+ pump [Ca2+ pump current (IpCa)], or extruded from the cell by the Na+/Ca2+ exchange mechanism [Na+/Ca2+ exchange current (INaCa)]. Calcium buffers present in the general cytosol also remove Ca2+ from free cytosolic activity: Ca2+ is modeled as being at instantaneous equilibrium with calmodulin, but there are fast and slow time-dependent binding sites for troponin (Jtrpn). Calcium that is pumped into the network SR diffuses to the junctional SR (Jtr), which can store large quantities of Ca2+ due to the presence of calsequestrin. Calcium is assumed to be in instantaneous equilibrium with calsequestrin. A small leak current takes Ca2+ directly from the network SR to the general cytosol (Jleak), and the background Ca2+ current (ICab) transfers Ca2+ from the extracellular space to the main cytosol.



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Fig. 1. A: spatial organization and Ca2+ fluxes in the ferret ventricular myocyte model. Ca2+ enters the cell via L-type Ca2+ channel current (ICaL) and initiates Ca2+-induced Ca2+ release (CICR) from the junctional sarcoplasmic reticulum (JSR), Jrel. Ca2+ diffuses from the subcellular compartment to the main cytosol, Jxfer, where it binds to calmodulin and troponin, Jtrpn. Ca2+ is removed from the cytosol by sarcolemmal Na+/Ca2+ exchanger current (INaCa) and Ca2+ pump current (IpCa) or is pumped into the SR via SR Ca2+-ATPase, Jup. There is a Ca2+ background current (ICab) into the cytosol. Ca2+ in the network SR (NSR), [Ca2+]NSR, mainly diffuses to the JSR, Jtr, but a small fraction leaks back to the cytosol, Jleak. Ca2+ in the JSR, [Ca2+]JSR, binds to calsequestrin. [Ca2+]o, extracellular Ca2+ concentration; [Ca2+]i, intracellular Ca2+ concentration. B: schematic drawing showing a cross section of 3 of the 8 possible Ca2+ release subsystems, with 5, 1, or 8 L-type Ca2+ channels. Ca2+ entering through the L-type Ca2+ channels initiates CICR from the group of ryanodine receptors (RyRs) on the opposing SR, resulting in a Ca2+ flux, Jrel,k, from the JSR volume (VJSR) into the subspace volume (Vss,k). Ca2+ diffuses from the subspace volume to the cytosol, producing the flux Jxfer,k. DHPR, dihydropyridine receptor.

 

Differential equations. The model consists of 117 time-dependent differential equations (APPENDICES AC), which are solved using a fourth-order Runge-Kutta method with a time step of 0.0001 ms. This was programmed in Fortran 90 and run on a 500-MHz DEC Alpha Workstation under Digital UNIX version 4. For simulation of a single voltage-clamp trace, 1 s of data required ~400 s of computational time. The initial conditions for all variables are detailed in Table 1. The model is designed to simulate voltage-clamp experiments and so has only four transmembrane currents: ICaL, ICab, IpCa, and INaCa. Neither intracellular Na+ concentration ([Na+]i) nor intracellular K+ concentration are modeled, and there are no transmembrane Na+ or K+ currents

(1)
where Itotal is total current.


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Table 1. Initial conditions

 

Calcium release subsystem and SR calcium flux. The model has physically distinct subsystems that represent the small intracellular spaces into which transmembrane Ca2+ flux through the L-type Ca2+ channel enters, CICR is initiated, and SR Ca2+ is released. Each subsystem has between one and eight L-type Ca2+ channels and a cluster of RyRs. Figure 1B shows three separate Ca2+ release subsystems, Cass5, Cass1, and Cass8, with five, one, and eight L-type Ca2+ channels, respectively, and an ICaL magnitude given by ICaL,5, ICaL,1, and ICaL,8, respectively. The model has a binomial distribution of subsystems (Cass1 to Cass8) as a default. However, we also tested the model with three other weighting functions (uniform, exponential, and Maxwellian) to determine whether the particular weighting function used affected graded release. All distributions were normalized to produce a mean value of four L-type Ca2+ channels per RyR cluster. The weighting functions for L-type Ca2+ channel distributions (bink, unifk, expk, and maxwk) are described in Table 2.


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Table 2. Distribution functions for cell parameters

 

The choice of eight subsystems was based on estimates of RyR cluster size and the ratio of dihydropyridine receptors (DHPR) to RyRs (8, 28). We assume that the average cluster contains 40 RyRs and 4 DHPRs, which gives a ratio of 10:1 (8). A single RyR cluster covers a surface area of ~360 nm x 360 nm and is separated from the myocyte membrane by a gap of 12 nm (28). A whole cell current of 1 nA is the result of ~5,000 Ca2+ channels opening (6), so the average number of active release subsystems is ~1,250, with 4 DHPRs per subsystem. The total subspace volume Vss is therefore estimated to be 2.0 x 10–9 µl (360 nm x 360 nm x 12 nm x 1,250). There is a linear relationship between Vss,k and the number of L-type Ca2+ channels (DHPRs) in our model. The model default is to have 40 RyRs per release subsystem, independent of the size of the subsystem. However, we also tested the model with a variable number of RyRs per subsystem where the number of RyRs was a factor of 10 greater than the number of DHPRs (i.e., 10–80 RyRs per subsystem with 1–8 L-type Ca2+ channels).

For the subsystems with k L-type Ca2+ channels, the L-type Ca2+ current is ICaL,k, the Ca2+ concentration in Vss,k is [Ca2+]ss,k, the CICR flux is Jrel,k, and the diffusion of Ca2+ from the subspace volume to the main cytosol is Jxfer,k. Vss,k depends linearly on the number of L-type Ca2+ channels present. The time constant of the transfer of Ca2+ from the subspace to the main cytoplasm ({tau}xfer,k) depends linearly on size of the subsystem volume (see Table 2). The junctional SR volume (VJSR) is constant for all subsystems (see Table 3), although the Ca2+ efflux from the SR, Jrel,k, is different for each subsystem.


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Table 3. Cell geometry parameters

 

The total Ca2+ flux depends on the sum of the activity in all subsystems with k L-type Ca2+ channels and is described by the following equation

(2)
where x is rel for release, tr for transfer from the junctional SR to the network SR, and xfer for transfer from the subspace to the cytoplasm.

The SR release flux (Jrel,k) depends on the difference in [Ca2+] between the junctional SR ([Ca2+]JSR,k) and the subspace volume ([Ca2+]ss,k), the sum of probabilities for opening of the RyRs (PO1,k and PO2,k), and the maximum permeability of RyR channels (v1)

(3)

The magnitude of the Ca2+ flux from the network to junctional SR (Jtr,k) depends on the differences in [Ca2+] (i.e., [Ca2+]NSR and [Ca2+]JSR,k) and the time constant of diffusion ({tau}tr)

(4)

Ca2+ flux from the subspace volume to the cytoplasm (Jxfer,k) depends on the relative concentrations of calcium in the subspace ([Ca2+]ss,k) and the cytosol ([Ca2+]i) and the time constant of diffusion ({tau}xfer,k) from the subspace volume (Vss,k) to the general cytosol (Vmyo)

(5)

The uptake Ca2+ flux to the SR (Jup) depends on [Ca2+]i, the maximum SR Ca2+-ATPase pump rate (v3), and the half-saturation constant for SR Ca2+-ATPase (Km,up)

(6)
The rate at which calcium binds to troponin (Jtrpn) is

(7)
where [LTRPN]tot is the total concentration of the myoplasmic troponin low-affinity site, [HTRPN]tot is the total concentration of the myoplasmic troponin high-affinity site, [LTRPNCa] is the concentration of low-affinity troponin-binding sites with Ca2+ bound, [HTRPNCa] is the concentration of high-affinity troponin-binding sites with Ca2+ bound, is the Ca2+ on rate for troponin high-affinity sites, is the Ca2+ off rate for troponin high-affinity sites, is the Ca2+ on rate for low-affinity troponin sites, and is the Ca2+ off rate for low-affinity troponin sites (Table 4). Calmodulin, the other cytosolic Ca2+ buffer, is assumed to be in instantaneous equilibrium with [Ca2+] (see Eqs. 15, 16, 19, and 20).


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Table 4. Buffering parameters

 

The leak of Ca2+ from the SR to the cytosol (Jleak) depends on the relative concentrations of Ca2+ and the leak rate constant (v2)

(8)

L-type Ca2+ channels. Modeling the inactivation behavior of the L-type Ca2+ channel has long been a difficulty. Its complex kinetics involve both voltage and calcium dependence. Reproducing this behavior is a current research topic with different competing models (31, 39, 64, 68). One striking piece of information to emerge from the field of molecular biology is the sequence homology between Ca2+ channels and Na+ or K+ channels. Several model structures can reproduce various aspects of native channel gating (31, 48, 68). Our choice was to assume that gating of Ca2+ channels was similar to gating of Na+ and K+ channels. In these channels, activation is rapid and intrinsically voltage sensitive. In contrast, inactivation has multiple mechanisms, all of which are intrinsically voltage insensitive and coupled to activation (for a review, see Ref. 56). In our case, there are two obvious mechanisms of inactivation, fast Ca2+-dependent inactivation and slow Ca2+-insensitive inactivation. Fast calcium- and calmodulin-sensitive inactivation may be similar to N-type inactivation (48) and slow Ca2+-independent inactivation may be similar to C-type inactivation (77). This formulation can reproduce the behavior of the Ca2+ channel but also predicts that mutagenesis experimental results will parallel those for Na+ and K+ channels. Furthermore, models of open channel and use-dependent blockers are strongly sensitive to the exact formulation used to describe ion channel gating (37) so that predicted behavior of use-dependent drugs may be strongly influenced by this model formalism.

A new Markov model was developed for the L-type Ca2+ channel with four closed states (C1, C2, C3, and C4), one open state (O), and three inactivated states (I1, I2, and I3). The states and transitions are shown in Fig. 2. Inactivation in this model is based on structural and functional homology with voltage-gated Na+ and K+ channels. The core "voltage-dependent" inactivation that persists in the absence of Ca2+-dependent inactivation is thought to be similar to K+ channel C-type inactivation (77) or the slow inactivation in Na+ channels (2, 72). The O -> I2 transition represents the channel undergoing "voltage-dependent" inactivation. Fast Ca2+-dependent inactivation arises from a tethered calmodulin-binding ancillary subunit (47, 48). This subunit is modeled as a "ball-and-chain" type of inactivation (76) in which the ball requires Ca2+ to bind to "activate" it (20). The O -> I1 transition corresponds to Ca2+-dependent inactivation, which is controlled by the Ca2+-dependent rate constant {gamma}k. I3 represents a channel that is both voltage and Ca2+ inactivated. In a similar fashion to Na+ and K+ channels, activation is required before inactivation can occur (for a review, see Ref. 26). Direct transitions between the C4 closed state and the three inactivated states were introduced into the model to reproduce voltage-dependent recovery from inactivation (27). All rate constants were chosen to satisfy thermodynamic equilibrium, i.e., the product of the rate constants in any loop of channel states in a clockwise direction is equal to the counterclockwise product.



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Fig. 2. State diagram for the L-type Ca2+ channel. There are four closed states (C1–C4), one open state (O), and three inactivated states (I1–I3). Transitions between the closed states and the open state are voltage dependent. Transition to the I1 inactivated state is Ca2+ dependent and that to I2 is voltage dependent. The third inactivated state, I3, represents a state that is both voltage- and Ca2+-dependent inactivation. Transitions from the inactivated states I1--I3 to the closed state C4 correspond to recovery from inactivation. Kpcf and Kpcb, voltage-insensitive rate constants; {gamma}k, Ca2+-dependent rate constant.

 

Each Ca2+ subsystem contains a different number of L-type Ca2+ channels and different subspace Ca2+ concentrations, [Ca2+]ss,k. The calcium-induced inactivation of the channel, and therefore the behavior of the L-type Ca2+ channel, will be different in each subsystem. The total ICaL is the sum of all the subsystem Ca2+ currents

(9)
where N is the number of calcium release subsystems and ICaL,k is ICaL in a subsystem with k channels, given by

(10)
where is the specific maximum conductivity of ICaL, V is membrane potential, ECa,L is the channel reversal potential, and Ok is the probability of the channel being open.

Other Ca2+ currents. The model includes three other Ca2+ transmembrane pathways: IpCa, INaCa, and ICab. IpCa is based on that of Luo and Rudy (39)

(11)
where is the maximum IpCa and Km,pCa is the Ca2+ half-saturation constant. ICab is modeled as a simple linear ohmic conductor

(12)

(13)
where GCab is background Ca2+ conductance, ECaN is the reversal potential, F is Faraday's constant, T is the absolute temperature (modeled at 295 K, i.e., room temperature), and R is the ideal gas constant.

INaCa has a stoichiometry of 3 Na+:1 Ca2+, so there is a net inward movement of a single charge associated with the efflux of a single calcium ion. The voltage dependence of the exchanger was calculated as the movement of a charge through a single peak energy barrier. The equation representing INaCa is based on those of Refs. 42 and 43, which were adapted by Luo and Rudy (39)

(14)
where kNaCa is the exchange mechanism scaling factor, Km,Na is the Na+ half-saturation constant, km,Ca is the Ca2+ half-saturation constant, Ksat is the Na+/Ca2+ exchange saturation factor at very negative potentials, and {eta} is the partition parameter, which indicates the relative position of the energy minima in the membrane (Table 5). Na+ dynamics are not included in the model, so [Na+]i and extracellular Na+ concentration ([Na+]o) are constants, which are given in Table 6.


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Table 5. Membrane current parameters

 

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Table 6. Constant ionic concentrations

 

Calcium concentrations. The equations governing the rate of change of [Ca2+] in the various cellular compartments (e.g., Vss,k, VJSR, VNSR, and Vmyo) are as follows

(15)

(16)

(17)

(18)
where

(19)

(20)

(21)
t is time, Acap is the capacitative membrane area, Vmyo is the myoplasmic volume, VNSR is the network SR volume, [CMDN]tot is the total concentration of myoplasmic calmodulin, is the Ca2+ half-saturation constant for calmodulin, [CSQN]tot is the network SR calsequestrin concentration, and is the Ca2+ half-saturation constant for calsequestrin. Note that the fluxes and variables with a k index in Eqs. 15–17 refer to the kth Ca2+ release subsystem. The weighted sum of the subsystem contributions are denoted by the same symbol but lack a k index (see Eq. C1 in APPENDIX C).

The rate of change of occupancy of low- and high-affinity troponin-binding sites ([LTRPNCa] and [HTRPNCa], respectively) is given by the equations

(22)

(23)

Ca2+ binding to calsequestrin and calmodulin is considered to be instantaneous (31). In contrast, Ca2+ binding to troponin is much slower and is therefore described by time-dependent differential equations (31). The validity of the rapid buffering approximation (70) under physiological conditions has been verified by Smith et al. (63). Smith et al. (63) showed that approximating calmodulin buffering as an instantaneous event is appropriate for calmodulin but not for troponin. The binding kinetics of troponin can deviate from an instantaneous approximation by an order of magnitude at a time scale of 1 ms.

Each of the eight calcium subsystems can have a different value for [Ca2+]ss,k, so the state of the L-type Ca2+ channels will vary between subsystems. The time course of the channel for the conducting state (Ok), the closed states (C1,k–C4,k), and the inactivated states (I1,k–I3,k) for the kth Ca2+ release subsystem is determined by the following equations

(24)

(25)

(26)

(27)

(28)

(29)

(30)

(31)
where Kpcf and Kpcb are constants (listed in Table 7) and

(32)

(33)

(34)
where Kpc,max is the maximum time constant for Ca2+-induced inactivation and Kpc,half is the half-saturation constant for Ca2+-induced inactivation (listed in Table 7).


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Table 7. L-type Ca2+ channel parameters

 

The equations governing the time dependence of the RyR channel states for the kth Ca2+ release subsystem are based on those of Ref. 32, as modified by Ref. 31

(35)

(36)

(37)

(38)
where PC1,k and PC2,k are the probabilities of the two RyR closed states for the kth Ca2+ release subsystem; m and n are cooperativity parameters; and , , , , , and are rate constants for the transitions between different RyR states (Table 8).


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Table 8. SR parameters

 

The numerical values of all constants in Eqs. 1–38 are given in Tables 2,3,4,5,6,7,8. Experiments performed at 37°C were adjusted to give appropriate values for room temperature based on the Q10 values for channels, transporters, and pumps given in Ref. 26.

Simulation protocols. Two types of voltage-clamp protocols were simulated to measure activation, inactivation, and recovery from inactivation. Steady-state inactivation was determined with a double-pulse protocol. The first pulse (P1) was a 500-ms depolarization from a holding potential of –75 mV to a voltage between –70 and +50 mV in steps of 5 mV. The membrane potential was then clamped back to –75 mV for 2 ms before the cell was subjected to a second 500-ms pulse (P2) to 0 mV (see Fig. 3A, inset).



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Fig. 3. Simulated voltage-clamp experiments using a standard double-pulse protocol. A: a 500-ms voltage step (P1) from the holding potential (–75 mV) was applied from –70 to + 50 mV in 10-mV steps, followed by a 500-ms second pulse (P2) to 0 mV (inset). P1 activates the Ca2+ current, which then rapidly inactivates. The magnitude of the peak current elicited by P2 depends on the degree of inactivation at the end of the P1 pulse. B: normalized ICaL (ICaL,norm) versus voltage for both the model (solid line) and experiments [data are from Ref. 55 ({blacktriangleup}), Ref. 52 ({blacksquare}), Ref. 53 ({diamondsuit}), and Ref. 54 ({bullet})]. C: steady-state inactivation. The simulated data (solid line) compare well with experimental results [data are from Ref. 53 ({blacksquare}) and Ref. 13 ({bullet})].

 

Recovery from inactivation was determined using a gapped pulse protocol with a variable interstimulus interval. The first pulse (P1) was a 500-ms depolarization from a holding potential of –75 to 0 mV. This was followed by a second 100-ms depolarization to 0 mV, with the interstimulus interval (when the cell was repolarized to –75 mV) ranging from 2 to 502 ms, in 10-ms intervals.


    RESULTS
 TOP
 ABSTRACT
 METHODS
 RESULTS
 DISCUSSION
 APPENDIX A: DIFFERENTIAL...
 APPENDIX B: CALCIUM CURRENTS
 APPENDIX C: CALCIUM FLUXES
 REFERENCES
 
L-type Ca2+ current. We used the model myocyte to simulate voltage-clamp experiments on isolated ferret ventricular myocytes. The model was subjected to a standard two-pulse protocol (Fig. 3). P1 activated the Ca2+ current, and P2 gave an indication of the steady-state inactivation. The simulated results mimic typical voltage-clamp ICaL experiments (54, 69, 71, 78). The inactivation of ICaL was biexponential when depolarized to voltages between about –15 and 30 mV. Normalized simulated and experimental current-voltage relationships from ferret myocytes are shown in Fig. 3B. The experimental and modeled results are similar, with a threshold at approximately –30 mV and peak inward current between 0 and +5 mV.

Figure 3C shows simulated (solid line) and experimental values (symbols) of the steady-state inactivation, plotted as a function of the P1 voltage. Steady-state inactivation was calculated by measuring the ratio of the peak current elicited by P2 to the maximum P2 peak current (i.e., peak P2 when P1 was –75 mV). In both the experiment and simulations, inactivation decreased when P1 was positive to about –40 mV and reached a minimum at about 0 mV. Positive to 0 mV inactivation decreased, giving the characteristic U-type inactivation function of ferret ICaL (53, 54). Although this is a defining characteristic of ICaL, not all models reproduce this feature.

At potentials positive to about –20 mV, the L-type Ca2+ channel inactivates with a biexponential time course. Figure 4A shows simulated and experimental data for the fast and slow inactivation rate constants 1/{tau}1 and 1/{tau}2 (51). The value of the simulated fast rate constant (open squares) is in good agreement with the experimental values (filled squares) in the voltage range of –15 to +40 mV (Fig. 4A). The simulated slow rate constant (open circles) deviates from the experimental values (filled circles) near threshold (Fig. 4A).



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Fig. 4. A: voltage dependence of ICaL rate constants of inactivation (1/{tau}1 and 1/{tau}2). ICaL decays in a biexponential manner in response to a depolarizing step. Simulated ({square}) and experimental data ({blacksquare}) for the fast rate constant 1/{tau}1 and simulated ({circ}) and experimental data ({bullet}) for the slow rate constant 1/{tau}2 are shown. B: ratio of amplitudes of the fast (A1) and slow (A2) components of ICaL versus voltage from simulated ({square}) and experimental data ({blacksquare}). The experimental results are from Qu (51).

 

The voltage dependence of the ratio of amplitudes of the fast and slow components (A1/A2) is shown in Fig. 4B. The simulated ratios (open squares) are qualitatively similar to the experimental ones (filled squares), although they show some deviation in amplitude, particularly when one time constant dominates (Fig. 4B).

Recovery from inactivation. We examined the simulated recovery from inactivation with the use of a standard variable interval gapped pulse protocol. An initial pulse to 0 mV was followed by a second pulse to 0 mV after a variable interval, {Delta}t. The degree of recovery from inactivation was calculated by comparing the peak current elicited by the P2 pulse to that elicited by the P1 pulse. Figure 5A shows the simulated recovery of ICaL from inactivation, which compares well with experimentally obtained data (53, 54). Figure 5B shows peak simulated ICaL as a function of interstimulus interval. To fit these data, we used three different functions that have been used to analyze experimental data. These functions were a simple exponential, an exponential function to the 1.5 power and an exponential function squared.



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Fig. 5. Rate of recovery from inactivation of simulated ICaL. A: simulated ICaL in response to a gapped double-pulse protocol. A 500-ms depolarization to 0 mV was followed by a second 100-ms depolarization to 0 mV after a variable interstimulus interval ({Delta}t) during which the cell was held at –80 mV. The interstimulus interval changed from 2 to 502 ms, in 25-ms increments. B: simulated peak ICaL from the protocol in A (with 5-ms increments in {Delta}t) plotted against the interstimulus interval (x). Three different functions were fit to the data: a single exponential f1 = [1 – exp(–t/{tau}rec,1)], where {tau}rec is the time constant of recovery (thick solid line); an exponential raised to the 1.5 power f2 = [1 – exp(–t/{tau}rec,2)]1.5 (thin solid line); and an exponential squared f3 = [1 – exp(–t/{tau}rec,3)]2 (dotted line).

 

All three functions gave a good fit to the modeled recovery curve. Fitting our recovery by a simple exponent gave a recovery time constant of {tau}rec,1 = 98.7 ms. Using the exponential to the 1.5 power gave a recovery time constant of {tau}rec,2 = 77.4 ms, which compares well to the experimental value of {tau}rec,2 = 75 ms (13). The time constant of recovery for the squared exponential was {tau}rec,3 = 66.6 ms, which coincides well with the experimental value of {tau}rec,3 = 68.4 ± 15.1 ms (54).

[Ca2+]i and calcium sparks. Figure 6A shows the modeled [Ca2+]i transients in response to P1 from the same standard voltage-clamp protocol used in Fig. 3. The peak value of the simulated [Ca2+]i elicited by the first pulse plotted as a function of voltage is shown in Fig. 6B. The bell-shaped relationship shown by the model is similar to the voltage dependence of peak [Ca2+]i of experimentally observed cardiac myocytes from various species (1, 9, 15, 19, 45, 74). The bell-shaped relationship between [Ca2+]i and voltage reflects graded release.



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Fig. 6. Simulated Ca2+ transients in response to the double-pulse protocol shown in Fig. 3. A: [Ca2+]i. B: peak value of [Ca2+]i ([Ca2+]i,max) in P1 as function of P1 voltage.

 

The calcium concentrations [Ca2+]ss,k (k = 1–8) in the eight subcellular volumes have independent time courses. The number of subsystems in which CICR is initiated varies with the subsystem type and the transmembrane voltage. Figure 7 shows the time course of [Ca2+]ss,k for all the Ca2+ release subsystems as well as the general [Ca2+]i for various P1 voltages. When P1 was negative to about –25 mV (i.e., below threshold for ICaL activation), there was almost no change in either [Ca2+]ss,k or [Ca2+]i. If P1 was more depolarized, e.g., –20 mV, CICR occurred in one subsystem, leading to a single Ca2+ spark in one subspace volume. This rapid local increase of [Ca2+]ss,k was followed by a slow increase in [Ca2+]i to 0.14 µM. When P1 was –15 mV, there were four Ca2+ sparks and a fairly slow increase in [Ca2+]i to 0.33 µM (Fig. 7A). All eight calcium release subsystems produce Ca2+ sparks, i.e., the maximum number of sparks possible, when P1 was between 0 and +15 mV (Fig. 7B). This was accompanied by the fastest increase in [Ca2+]i, which reached a peak of 0.76 µM within 25 ms. When P1 was further depolarized to a value such as +20 mV, there was a decrease in the number of Ca2+ subsystems that release Ca2+ from the SR, to seven. There was a concurrent decrease in rate and the maximum value of [Ca2+]i (0.72 µM at 28 ms). When P1 was +35 mV, six of the eight potential populations of release units produced sparks and [Ca2+]i peaked at 0.59 µM (Fig. 7C). As the voltage of P1 was further depolarized, fewer sparks were initiated, until at +50 mV only two sparks were seen, and there was only a small slow increase in [Ca2+]i (Fig. 7D). Our model therefore shows gradation of Ca2+ release.



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Fig. 7. Relationship between subspace CICR release and bulk [Ca2+]i transients during depolarization. The number of subsystems that exhibit Ca2+ transients (i.e., sparks) in response to a depolarization changes with voltage. The subspace Ca2+ concentration ([Ca2+]ss) for all eight subsystems is shown. A: when P1 is –15 mV, there are few sparks and [Ca2+]i is delayed. B: peak [Ca2+]i occurs rapidly near 0 mV. C: when P1 is +35 mV, [Ca2+]i is delayed and there are fewer sparks. D: when P1 is +50 mV, there is a slow rise in [Ca2+]i and calcium transients occur in only a few subsystems.

 

An interesting result of our model is the relationship between the P1 voltage and the time over which sparks occur. At voltages just positive to the threshold of activation of ICaL (P1 = –20 to –10 mV), Ca2+ sparks are initiated over relatively wide time window, up to 40 ms after the beginning of voltage pulse (Fig. 7A). When P1 is near the maximum for ICaL, most sparks are initiated earlier. As P1 is depolarized further (35–50 mV), sparks occur in a less concentrated fashion (Fig. 7C). A similar relationship between depolarization voltage and the time to initiation of Ca2+ sparks was observed experimentally in guinea pig ventricular myocytes (38). In this experiment, Ca2+ sparks were observed over a wide time window both at relatively small voltage steps near the threshold of Ca2+ release from the SR and at relatively large voltage steps (i.e., P1 = 30 mV). However, when P1 is in the range 0–10 mV, most Ca2+ sparks are concentrated near the beginning of the depolarization.

The number of Ca2+ release subsystems that produce Ca2+ sparks varies with voltage. The percentage of available Ca2+ release systems in which sparks occur (the number of release systems that spark multiplied by the number of those systems present) produces the net Ca2+ transient. Despite the relatively small number of Ca2+ release subsystems used in this model, the relationship between number of sparks and voltage is bell shaped, which is similar to the experimentally obtained bell-shape dependence of local [Ca2+]i transients on voltage (38). These data suggest that the inhomogeneity of Ca2+ release subsystems is responsible for gradedness of Ca2+ release: Ca2+ release subsystems with different properties distributed nonuniformly in a cardiac cell produce nonuniformity in Ca2+ release and [Ca2+]i. Spatial nonuniformities between [Ca2+]i and the number of Ca2+ sparks have been observed in cardiac cells (16, 74). The role of Ca2+ release subsystem heterogeneity in generating graded Ca2+ release is clearly shown by the lack of graded release when all subsystems are homogeneous with 40 RyRs and 4 DHPRs in each subsystem (Fig. 8, squares). When only four types of release subsystems (with 2, 4, 6, and 8 DHPR and 40 RyRs in each subsystem; Fig. 8, triangles) are modeled, the relationship between voltage and [Ca2+]i is less bell shaped than with eight subsystems.



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Fig. 8. Effect of changing the number of subsystems on graded release. Peak normalized [Ca2+]i is plotted as a function of voltage for three different model configurations. The homogeneous case, with 4 L-type Ca2+ channels, showed no gradation of release ({blacksquare}). When there were 4 release subsystem types, with either 2, 4, 6, or 8 L-type Ca2+ channels, mild gradation was found ({blacktriangleup}). With 8 subsystems, gradation of Ca2+ release was smoother ({bullet}).

 

Factors affecting graded release. The sensitivity of graded release to the total number of subsystems modeled in this study suggested that graded release may also be sensitive to other factors. We examined the sensitivity of the graded release response to various weighting distributions for the subunit sizes with Ca2+ release subsystems containing one to eight DHPRs. These weighting factors followed an exponential (expk), uniform (unifk), or Maxwellian (maxwk) distribution (weighting factors given in Table 2). The results are shown in Fig. 9. Graded release was smoother and more bell shaped for the exponential and uniform distribution of weighting factors, particularly for negative membrane potentials. This demonstrates that the shape of graded release produced by this model is sensitive to the type of weighting distribution of Ca2+ release subsystem size.



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Fig. 9. Effect of weighting distributions on graded release. Normalized ICaL amplitudes ({blacksquare}) and peak [Ca2+]i ({blacktriangleup}) are shown as a function of voltage. A–D: calculations for binomial, uniform, exponential, and Maxwellian distributions of weights for Ca2+ release subsystems, respectively.

 

Other factors have been suggested to play an important role in graded release. One of these factors is RyR adaptation. The role of adaptation was evaluated by setting the rate constant to zero, which corresponds to removal of adaptation (Fig. 10). In agreement with the study of Jafri et al. (31), this manipulation had little effect on the maximal Ca2+ release transient and time course (Fig. 10, B–D). However, adaptation did alter the shape of the graded release response. This suggests that although adaptation does not give rise to graded release in our model, it may still play a significant role in modulating the properties of graded release.



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Fig. 10. Effect of RyR adaptation on graded release. Simulations were run with either default RyRs (with adaptation) or RyRs with no adaptation. A 500-ms depolarizing step from –75 to 0 mV was applied to each model. A: normalized ICaL amplitudes (squares) and peak [Ca2+]i (triangles) as a function of voltage. Filled symbols show control adaptation data [RyR PO1,kPC2,k rate constant and open symbols are data calculated in the absence of adaptation . There was no change in the voltage dependence of peak ICaL, and squares superimpose. B: time dependence of [Ca2+]i in response to step depolarization. Thick solid lines, control data; thin solid lines, data obtained with no RyR adaptation. C: time dependence of Ca2+ concentration in the JSR facing a sarcolemmal region with 4 L-type Ca2+ channels present ([Ca2+]JSR,4) in response to step depolarization. Thick solid lines, control data; thin solid lines, data from RyRs without adaptation. D: time dependence of the open probability of RyRs in the 4 L-type Ca2+ channel subsystem (PRyRopen,4) in response to step depolarization. Thick solid lines, control data; thin solid lines, nonadapting RyR data.

 

Effect of SR load on graded release. The amount of Ca2+ in the SR is an important and sensitive determinant of Ca2+ release (6). We increased and decreased the Ca2+ load in this model by a factor of 2. Figure 11A shows that the total amount of Ca2+ released was approximately proportional to SR load. The loaded SR increased [Ca2+]ss in the subspace volume and prolonged the Ca2+ spark, which in turn kept the RyR in an open state for a longer period of time. Interestingly, release became less graded as the SR load increased, with maximal Ca2+ release occurring with a much smaller Ca2+ entry. Thus it seems that increased SR load makes the RyR more likely to open. This occurs without making the opening rate constants for the RyR explicitly dependent on SR Ca2+ load, unlike the model of Sobie et al. (64). In our model, the increased sensitivity comes from the regenerative nature of Ca2+ release in the individual subsystem. Within each subsystem when Ca2+ in the junctional space reaches a critical level, Ca2+ entry through RyRs causes regenerative activation of further RyRs. When the SR is loaded, the driving force for Ca2+ diffusion is greatly increased. As a consequence, a lower value of channel open probability is required to produce the same influx of Ca2+ into the subspace. Therefore, there is a lower threshold for triggering all-or-none Ca2+ release in a subsystem when the SR is Ca2+ loaded.



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Fig. 11. Modulation of SR Ca2+ release by SR load and RyR density. A: effect of SR load on CICR. Calculations were made with 50%, 100%, and 200% of control SR load. Filled symbols show the relationship between ICaL and voltage, normalized to the maximum value with 100% of SR load (control). There is little difference in this relationship with changes in SR loading. Open symbols show the relationship between [Ca2+]i and voltage, normalized to the peak [Ca2+]i obtained with 100% SR loading (control, squares). Triangles, data from 200% SR loading; circles, data from 50% SR loading. B: effect of varying the number of RyRs per release subsystem. RyR conductance was calculated as 50%, 100%, and 200% of control. The normalized ICaL amplitudes (filled symbols) are little effected by changes in RyR density. Open symbols show the relationship between [Ca2+]i and voltage for control (100% RyR density, squares) and high (200% density, triangles) and low (50% density, circles) RyR density.

 

Altering the total number of RyRs had similar effects on changing of the SR Ca2+ load. Increasing the number of RyRs increased Ca2+ release (Fig. 11B, open triangles), increased the rate of inactivation of ICaL, and resulted in graded release that was more abrupt and had near-maximal release with a much smaller trigger Ca2+. However, changing the relative weighting so that there were more RyRs in larger release units and fewer RyRs in smaller units caused little change in the graded response (simulations not shown).

Reducing Ca2+ influx via the L-type Ca2+ channel by 50% resulted in a graded response with a diminished and delayed transient (Fig. 12). Consistent with a decrease in Ca2+ release, the inactivation rate of the channel was also slowed. The slowing of the inactivation rate and the decreased intracellular Ca2+ release are consistent with changes seen after block of ICaL by dihydropyridine antagonists or the reduced ICaL density accompanying hypertrophic heart failure or myocardial stunning.



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Fig. 12. Effect of ICaL block on CICR. A: simulated time dependence of ICaL using a standard double-pulse protocol. A 500-ms voltage step (P1) from the holding potential (–75 mV) was applied from –70 to + 50 mV in 10-mV steps, followed by a 500-ms second pulse (P2) to 0 mV. The maximum value of ICaL was reduced by 50% to simulate the action of an ICaL antagonist. B: normalized ICaL as a function of voltage in control ({blacksquare}) and after ICaL antagonist ({square}). Currents were normalized to the maximum value of control ICaL. Peak [Ca2+]i is also shown as a function of voltage ({blacktriangleup}, control data; {triangleup}, antagonist data). All data were normalized to the maximum value of control [Ca2+]i. C: total Ca2+ flux from the JSR into the subspace for all subsystems under control and antagonist conditions in response to a step depolarization from –75 to 0 mV.

 

Calcium release during deactivation. Ca2+ release from the SR terminates about 40 ms after activation of the L-type Ca2+ channel. This may be due to many factors, including stochastic attrition of Ca2+ release subunits, Ca2+ channel inactivation, and RyR inactivation or adaptation. Sham et al. (61) used the Ca2+ channel agonist FPL-64176 to remove Ca2+-dependent inactivation, increase the peak current, and slow deactivation of ICaL. Sham et al. (61) presented data that "... argue against the stochastic attrition (66) as the primary mechanism for terminating Ca2+ release, because it predicts an increase in open duration of L-type Ca2+ channels would prolong Ca2+ release and multiple Ca2+ channel reopenings would simply give rise to multiple release events (66)."

Cells treated with FPL-64176 were depolarized to –30, 0, +30, or +60 mV for 50 ms and then hyperpolarized to –120 mV. When the initial depolarization was to –30 or 0 mV, near-maximal Ca2+ release was seen. The subsequent hyperpolarization either failed to trigger or triggered only a minimal secondary Ca2+ release. However, when the initial depolarization was to +30 or +60 mV (and the primary Ca2+ release was submaximal), a substantial "tail" of secondary Ca2+ release was seen on hyperpolarization.

We simulated these protocols for –20, 0, and +30 mV (Fig. 13). The simulations reproduced the minimal secondary Ca2+ release at 0 mV and the large secondary Ca2+ release at +30 mV. This is an important validation of our model. The secondary Ca2+ release during the hyperpolarizing step must be from a different population of release units than the primary Ca2+ release.



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Fig. 13. Initiation of a secondary Ca2+ release with inactivation-modified L-type Ca2+ channels by hyperpolarization. These simulations mimic the exposure of rat myocytes to FPL-64176 (FPL) (61). FPL removes fast Ca2+-dependent inactivation and slows deactivation of L-type Ca2+ channels {{beta}(V) replaced by {beta}'(V) = {beta}(V)/[1 + 0.5e–(V 3.0)/13.0], where V is membrane potential}. A: summed [Ca2+]ss from all subunits for a depolarization to –20 mV followed by hyperpolarization to –120 mV (see inset for protocol). B: corresponding ICaL for A. C: summed [Ca2+]ss from all subunits for a depolarization to 0 mV followed by hyperpolarization to –120 mV. D: corresponding ICaL for C. E: summed [Ca2+]ss from all subunits for a depolarization to +30 mV followed by hyperpolarization to –120 mV. F: corresponding ICaL for E. Note that a separate population of subunits fires when higher single channel currents are elicited on hyperpolarization after a submaximal Ca2+ release during depolarization.

 


    DISCUSSION
 TOP
 ABSTRACT
 METHODS
 RESULTS
 DISCUSSION
 APPENDIX A: DIFFERENTIAL...
 APPENDIX B: CALCIUM CURRENTS
 APPENDIX C: CALCIUM FLUXES
 REFERENCES
 
We developed a model of calcium dynamics in the ferret ventricular myocyte that exhibits graded CICR from the SR. It is based on a system of eight distinct Ca2+ release subunits, each with slightly different characteristics, and a new Markov model of the L-type Ca2+ channel. Our model successfully simulates voltage-clamp experiments on ICaL and subsequent CICR in ferret ventricular cardiac myocytes both quantitatively and qualitatively.

This model of CICR produces graded release. The mechanism by which it does so is based on diad inhomogeneity. The total number of Ca2+ channels per diad is not uniform, but there is a binomial distribution, with four Ca2+ channels being the average and most common. For a small Ca2+ influx, the subspace Ca2+ will rise only slightly in diads with only one or two Ca2+ channels but will rise much higher in diads with seven or eight Ca2+ channels. Thus for small ICaL relatively few subunits reach the Ca2+ release threshold, and little Ca2+ release is expected. When Ca2+ influx is higher, diads with fewer channels will reach the threshold for Ca2+ release. With large ICaL virtually all available units release. This model is based on biological variability.

The magnitude of the [Ca2+]i transient depends on the magnitude of ICaL (for reviews, see Refs. 11 and 73). Our model exhibits a nonlinear relationship between [Ca2+]i transients and ICaL, which has also been seen experimentally (12, 14). Figure 14 shows that there are bell-shaped relationships among normalized ICaL, normalized [Ca2+]i, normalized number of Ca2+ sparks (nsparks; or normalized number of Ca2+ release subsystems that produce Ca2+ sparks), and voltage. The curves for [Ca2+]i and nsparks are similar, whereas the relationship for ICaL is comparatively narrow. This indicates that [Ca2+] in the general cytosol is determined mainly by the magnitude of CICR from the SR and not ICaL. Our model shows a degree of relative independence among ICaL, Ca2+ dynamics, and Ca2+ release from the SR, an observation that has also been determined experimentally (61).



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Fig. 14. Normalized ICaL amplitudes ({blacktriangleup}), peak [Ca2+]i ({bullet}), and number of Ca2+ release subsystems that produce Ca2+ sparks (nsparks, {blacksquare}) as a function of voltage.

 

The eight different Ca2+ subsystems in our model results in an inhomogeneity in local Ca2+ release, which results in graded CICR, and the staggered appearance of Ca2+ sparks. This is an experimentally observed feature (38) and was not explained by any previous model. Our model also explains the relationship between membrane voltage and the number of Ca2+ sparks initiated (38).

Two previously published models have simulated graded CICR from the SR: the Luo-Rudy model (39) and the Rice et al. model (57). The Luo-Rudy model does not consider the local nature of Ca2+ release from the SR and therefore has no information on Ca2+ sparks. The Rice et al. model (57) includes some features of