AJP - Heart Calcium Transients and Cell-Sarcomere
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Am J Physiol Heart Circ Physiol 282: H1437-H1451, 2002. First published November 29, 2001; doi:10.1152/ajpheart.00489.2001
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Vol. 282, Issue 4, H1437-H1451, April 2002

Time-dependent transients in an ionically based mathematical model of the canine atrial action potential

James Kneller, Rafael J. Ramirez, Denis Chartier, Marc Courtemanche, and Stanley Nattel

Research Center, Montreal Heart Institute, Montreal, Quebec H1T 1C8, Canada


    ABSTRACT
TOP
ABSTRACT
INTRODUCTION
METHODS
RESULTS
DISCUSSION
REFERENCES

Ionically based cardiac action potential (AP) models are based on equations with singular Jacobians and display time-dependent AP and ionic changes (transients), which may be due to this mathematical limitation. The present study evaluated transients during long-term simulated activity in a mathematical model of the canine atrial AP. Stimulus current assignment to a specific ionic species contributed to stability. Ionic concentrations were least disturbed with the K+ stimulus current. All parameters stabilized within 6-7 h. Inward rectifier, Na+/Ca2+ exchanger, L-type Ca2+, and Na+-Cl- cotransporter currents made the greatest contributions to stabilization of intracellular [K+], [Na+], [Ca2+], and [Cl-], respectively. Time-dependent AP shortening was largely due to the outward shift of Na+/Ca2+ exchange related to intracellular Na+ (Na<UP><SUB>i</SUB><SUP>+</SUP></UP>) accumulation. AP duration (APD) reached a steady state after ~40 min. AP transients also occurred in canine atrial preparations, with the APD decreasing by ~10 ms over 35 min, compared with ~27 ms in the model. We conclude that model APD and ionic transients stabilize with the appropriate stimulus current assignment and that the mathematical limitation of equation singularity does not preclude meaningful long-term simulations. The model agrees qualitatively with experimental observations, but quantitative discrepancies highlight limitations of long-term model simulations.

ionic drift; action potential transients; atrial fibrillation; electrophysiology; ion channels and transporters


    INTRODUCTION
TOP
ABSTRACT
INTRODUCTION
METHODS
RESULTS
DISCUSSION
REFERENCES

THE ESTABLISHMENT of the original DiFrancesco-Noble (DN) model of cardiac myocyte electrophysiology spawned the development of numerous other dynamic models patterned after the DN formulation (5). These models explicitly include transmembrane ion channels and pumps, the intracellular calcium sequestering and release activity of the sarcoplasmic reticulum (SR), and changing intracellular ionic concentrations. The incorporation of concentration changes into the cardiac electrical model was an important development because such changes occur rapidly in the small volume of the cardiac cell and can have profound effects on action potential (AP) properties.

Dynamic models are finely tuned to reproduce electrophysiological behavior observed experimentally during observation periods of short duration. However, the original DN model was noted to produce a continual cycle-by-cycle (transient) accumulation (K+) or depletion (Na+, Ca2+) of intracellular ionic species (5). AP morphology and the pre- and postcycle values of the ionic concentrations were not constant as would be expected of steady-state behavior. Transient changes were negligible over a few cardiac cycles, but departures from the prestimulus initial concentrations were cumulative and became substantial over many cycles. Guan et al. (9) noted that the original DN equations are mathematically dependent (Jacobian is singular), and therefore that model fixed points are unstable. Varghese and Sell (32) showed that there exists a conservation principle latent in model equations that may permit certain mathematical features to cause computational difficulties and erroneous model performance. Although the abnormal behavior may occur only when parameters are outside the zone of physiological interest, it was argued that these features may introduce erroneous behavior and instabilities within the physiologically realizable range. Consequently, the validity of extended time simulations has been questioned (6, 26).

Time-dependent changes (transients) in ionic concentrations and APs following rate changes are well documented in the experimental literature (2, 7, 11-15, 27, 31, 38). Transients in mathematical models of the AP may represent artifacts of the system of equations used or may reflect physiological processes. We were unable to identify previous studies that characterized in detail time-dependent model transients and that compared model and experimentally observed AP transients. In the present study, electrophysiological transients in an ionic model of the canine atrial AP were studied with the following objectives: 1) to determine whether dynamic models reach stability during sustained pacing at a fixed rate; 2) to investigate the effects of stimulus current assignment; 3) to investigate the ionic basis of AP transients in the model; and 4) to compare experimental and model AP transients.


    METHODS
TOP
ABSTRACT
INTRODUCTION
METHODS
RESULTS
DISCUSSION
REFERENCES

Model Implementation

Model transients were studied in the Ramirez-Nattel-Courtemanche (RNC) model of the canine atrial AP (28). The RNC model is composed of 23 coupled first-order ordinary differential equations and accounts for intracellular concentrations of potassium ([K+]i), sodium ([Na+]i), calcium ([Ca2+]i), and chloride ([Cl-]i).

The rate of change in the transmembrane potential (V) is given by
<FR><NU>d<IT>V</IT></NU><DE>d<IT>t</IT></DE></FR><IT>=</IT><FR><NU>−(<IT>I</IT><SUB>ion</SUB><IT>+I</IT><SUB>stim</SUB>)</NU><DE><IT>C</IT><SUB>m</SUB></DE></FR> (1)
in time, where Iion and Istim are the total transmembrane ionic and stimulus currents, respectively, and Cm is the total membrane capacitance. Numerical integration was performed using a modified Euler method. After completion of the Cl- transport formulation (described below), the total transmembrane ionic current is given by
I<SUB>ion</SUB><IT>=I</IT><SUB>Na</SUB><IT>+I</IT><SUB>K1</SUB><IT>+I</IT><SUB>to</SUB><IT>+I</IT><SUB>Kur,d</SUB><IT>+I</IT><SUB>Kr</SUB><IT>+I</IT><SUB>Ks</SUB><IT>+I</IT><SUB>Ca</SUB><IT>+I</IT><SUB>Cl,Ca</SUB><IT>+I</IT><SUB>p,Ca</SUB><IT>+I</IT><SUB>NaCa</SUB><IT>+I</IT><SUB>NaK</SUB><IT>+I</IT><SUB>b,Na</SUB><IT>+I</IT><SUB>b,Ca</SUB><IT>+I</IT><SUB>b,Cl</SUB> (2)
Iion includes contributions from the fast sodium current (INa), the inward rectifier (IK1) and transient outward (Ito) potassium currents, the rapid (IKr) and slow (IKs) components of the classical delayed rectifier potassium current, L-type calcium current (ICa), a sarcolemmal calcium pump current (Ip,Ca), the Na+-K+-ATPase current (INaK), the Na+/Ca2+ exchanger (INaCa), and a calcium-activated chloride current (ICl,Ca), and background sodium (Ib,Na), calcium (Ib,Ca), and chloride (Ib,Cl) currents also contribute. The RNC AP most closely resembles right atrial pectinate muscle APs, because ionic current formulations were based on data from cells isolated from this region (16, 28). Shorter APs would be expected from a left atrial AP model, because IKr is typically larger in the left atria (17).

All simulations were performed with I in picoamps, V in millivolts, and Cm = 100 pF. A fixed time step of 5 and 20 µs was used in the presence and absence of stimulation, respectively. For reasons discussed in Stimulus Current Assignment (see RESULTS), all simulations were performed with the stimulus current attributed to potassium unless stated otherwise. All simulations were performed using double-precision arithmetic on Unix PC workstations.

Model Modification

In the RNC model, ICl,Ca brings Cl- into the cell during each cycle. The magnitude of this current increases with increasing [Ca2+]i. However, the RNC equations do not provide for Cl- efflux (as noted). The interdependence of membrane currents (ICl,Ca, Na+-K+ pump, and Na+/Ca2+ exchanger) implies that the beat-to-beat accumulation of Cl- simultaneously induces transients in all ionic concentrations, and consequently absolute stability is not possible. Because other dynamic models do not account for [Cl-]i, this limitation was overcome by developing a model of myocyte pH and Cl- regulation based on physiological processes as described by Baumgarten and Duncan (1). The net ionic movement of Cl- was formulated as an inward electroneutral Na+-Cl- cotransporter and constant Cl- efflux through a leakage pathway, in addition to ICl,Ca.

The electroneutral Na+-Cl- cotransporter was empirically formulated with a Hill function and is given by
CT<SUB>NaCl</SUB><IT>=g</IT><SUB>CT</SUB><FENCE><FR><NU><IT>&Dgr;</IT><SUP><IT>n</IT></SUP><SUB>CT</SUB></NU><DE><IT>&THgr;</IT><SUP><IT>n</IT></SUP><SUB>CT</SUB><IT>+&Dgr;</IT><SUP><IT>n</IT></SUP><SUB>CT</SUB></DE></FR></FENCE> (3)
where the conductance of the cotransporter (gCT) = 0.115, Theta <UP><SUB>CT</SUB><SUP><IT>n</IT></SUP></UP> = ENa - ECl (where ENa is the equilibrium potential of Na+ and ECl is the equilibirium potential of Cl-), Delta <UP><SUB>CT</SUB><SUP><IT>n</IT></SUP></UP> = 87.8251 and n = 4.

The background leakage current (Ib,Cl) is given by
I<SUB>b,Cl</SUB><IT>=g</IT><SUB>b,Cl</SUB>(<IT>V−E</IT><SUB>Cl</SUB>) (4)
where the conductance of the Ib,Cl (gb,Cl) = 0.0018.

Because of the lack of kinetic data in the literature, gb,Cl was approximated as twice the mean of the RNC background conductances. The cotransporter parameters were chosen to balance the magnitude of the leakage current at rest with rapid kinetics as intracellular pH is tightly regulated. The original RNC equations were based on short-term (several second) simulations. ICa was reduced to 30% of mean experimental values to obtain physiological AP durations (APDs). When we performed longer-term simulations, we found that the RNC parameters provided APDs that were too short, and that K+ currents had to be corrected [maximal Ito conductance (gto) and IKur,d conductance (gKur,d) were reduced to 25 and 75% of original RNC values] to provide values closer to experimental observations. Conductance changes, CTNaCl, and Ib,Cl were incorporated into the RNC equations to obtain the modified RNC (mRNC) model. Initial conditions for the mRNC model were obtained from the RNC initial conditions by allowing the revised equations to equilibrate for >5 min at rest (Table 1). Although the ionic mechanisms necessary for long-term stability were present following these modifications, it was noted that the equation singularity remained in the mRNC model. Therefore, the mRNC fixed points were also unstable and the equations still possessed the latent conservation principle as described.

                              
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Table 1.   Initial conditions for mRNC model

Experimental Techniques for AP Recording

Adult mongrel dogs (n = 16) of either sex (20-32 kg) were anesthetized with pentobarbital sodium (30 mg/kg iv), and their hearts were quickly removed and immersed in Tyrode solution at room temperature and equilibrated with 100% O2. The Tyrode solution contained (in mM) 126 NaCl, 5.4 KCl, 1.0 MgCl2, 0.33 NaH2PO4, 1.0 CaCl2, 10 dextrose, and 10 HEPES, pH was adjusted to 7.4 with NaOH. The right atrium was dissected free, and the right coronary artery was cannulated and perfused with Krebs solution at 37°C and equilibrated with 5% O2-95% CO2 to maintain the pH between 7.35 and 7.40. The Krebs solution contained (in mM) 120 NaCl, 3.8 KCl, 1.2 CaCl2, 1.2 MgSO4, 1.2 KH2PO4, 25 NaHCO3, and 5.5 dextrose. Any leaks from arterial branches were ligated, and the tissue was perfused at 10-12 ml/min throughout the experiment to approximate normal flow in the canine right atrium (34).

Preparations were stimulated with square-wave pulses (4 ms) delivered at 1.5 to 2 times diastolic threshold through bipolar Teflon-coated silver electrodes. The standard microelectrode techniques used in the present study have been described in detail elsewhere (24). Cellular membrane potentials were recorded from the endocardium using glass microelectrodes filled with 3 M KCl (8-20 MOmega resistance) coupled to an Axoclamp 2B amplifier (Axon Instruments; Foster City, CA). Signals were converted into digital form by a Digidata 1200 series analog-to-digital converter (Axon Instruments) and displayed on a Pentium PC using Axotape version 2.0 software (Axon Instruments). Tissues were paced continuously at 400-, 300-, and 200-ms basic cycle lengths (BCLs) for 35 min at each BCL. AP recordings were obtained in each preparation from a minimum of five impalements 0-5, 15-20, and 30-35 min from the onset of stimulation at each BCL. A 5-min rest period followed stimulation at each BCL. During this time, preparations that did not beat spontaneously were paced at 1 Hz, and further control recordings were made to ensure the stability of the preparation. The 35-min pacing duration was chosen to allow measurement of the largest possible transients at three rates without compromising the viability of the tissues. Because results depended on the shape of the waveforms, precautions were taken to ensure that the stimulus current did not interfere. Each stimulus site was located at least several millimeters from the impaled cell (39). In addition, an interval of constant rest potential between the stimulus artifact and the recorded AP was confirmed (30). Light tension was applied to stabilize the preparations as needed. APD to 90% (APD90) and 50% (APD50) repolarization were measured with custom-made software and confirmed manually. Only recordings demonstrating <3% variation in interbeat end-diastolic potential were analyzed.

Statistical comparisons were performed on raw data with an exponential regression mixed-model analysis as described by Glantz and Slinker (8). Analysis of variance was applied for statistical comparison, with Bonferroni's correction used for post hoc tests. SAS release 6.12 (Cary, NC) was used to perform all statistical analyses. The level of statistical significance was set at P < 0.05.


    RESULTS
TOP
ABSTRACT
INTRODUCTION
METHODS
RESULTS
DISCUSSION
REFERENCES

Comparison of RNC and mRNC Ionic Transients

Figure 1 shows ionic transients in the RNC and mRNC models over 10 h of simulated pacing at 2 Hz. For reasons discussed below, simulations in both models were performed with the stimulus current attributed to K+. Ionic concentrations were sampled 2 ms before each AP upstroke. The RNC concentrations did not stabilize, because [K+]i (Fig. 1A) and [Cl-]i (Fig. 1D) displayed long-term linear increases that were clearly nonphysiological, and [Na+]i (Fig. 1B) and [Ca2+]i (Fig. 1C) failed to reach a constant value. These ongoing changes would be expected to eventually cause model failure. In contrast, the mRNC concentrations stabilized following monotonic increases in [Na+]i, [Ca2+]i, and [Cl-]i. [K+]i initially decreased and then reversed, increasing to a steady state after 4 h. In both models, as [Ca2+]i plateaued, Cl- influx through ICl,Ca approached a constant value. RNC [Cl-]i steadily increased (no Cl- efflux mechanism) and forced transients in all ionic species. The initial mRNC [Cl-]i increase was greater as CTNaCl brought Cl- into the cell before Ib,Cl could compensate. Cotransport with Na+ also caused a larger initial increase in [Na+]i (and therefore in [Ca2+]i by reduced forward-mode Na+/Ca2+ exchange) in the mRNC model.


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Fig. 1.   Steady-state model ionic transients. Transients in intracellular concentrations of K+ ([K+]i; A), Na+ ([Na+]i; B), Ca2+ ([Ca2+]i; C), and Cl- ([Cl-]i; D) are shown over 10 h of pacing at 2 Hz. Ramirez-Nattel-Courtemanche (RNC) concentrations failed to reach constant values. All modified RNC (mRNC) concentrations stabilized.

Although all mRNC concentrations appeared to be unchanging after 7 h of pacing, it was not clear whether the model system had reached absolute stability. To determine whether perfect stability was attained, numerical integration of all K+ currents and the AP waveform (measured to six significant figures) was performed after each hour of pacing for up to 10 h. All changes ceased between 6 and 7 h (not shown), confirming that model equations had reached absolute stability as suggested by the ionic concentrations (Fig. 1). In this way, the addition of Cl- transporters was sufficient for the mRNC model to stabilize during sustained pacing, despite the inherent equation instabilities. The mRNC model was used for all subsequent simulations.

To ensure convergence of the integration scheme, the 10-h ionic transients were computed with two and four times reductions of the time step. No differences in [K+]i were found between all time steps after 5 h. No differences between the 2.5- and 1.25-µs time steps were found for [Na+]i after 5 h, and results with either differed from those with the 5-µs time step by <0.05%. [Ca2+]i and [Cl-]i displayed slightly greater departures, but both converged toward the 5-µs solution. Overall, the 2.5- and 1.25-µs solutions differed from those with the 5-µs time step by <0.35% at all times, demonstrating that appreciable numerical error did not accumulate during the long pacing simulations and that the transients were indeed a property of the equation system.

Stimulus Current Assignment

The RNC stimulus current delivers 58 pC/pF over the first 2 ms of each cycle (28). Simulations shown in Fig. 1 were conducted with this current attributed to K+. Both models featured reversal of the [K+]i transient following 40 min of pacing, after which RNC [K+]i continued to increase in a linear fashion while mRNC [K+]i plateaued. The effect of stimulus current assignment on model transients and stability was therefore investigated. Ten-hour pacing simulations at 2 Hz were conducted as before, with the stimulus current attributed to either Na+, Ca2+, or Cl- (Istim substituted into Eqs. 9, 10, or 11 below, respectively). Concentrations were sampled 2 ms before each AP upstroke. Results are shown in Fig. 2. Although the model remained stable, the magnitude and time course of all transients were influenced by each assignment. Overall, the K+ ionic stimulus assignment least perturbed all ionic species, and stable concentrations were reached in the shortest time. Relative to the K+ assignment, the Na+ assignment caused a greater [Na+]i increase, allowed a greater [K+]i depletion, and caused a greater [Ca2+]i departure from baseline. The Ca2+ assignment caused maximal [Na+]i and [Ca2+]i transients and the most extensive [K+]i depletion of all cationic assignments. The Cl- assignment caused severe [K+]i and [Cl-]i depletion. When the stimulus current was not attributed to any ion (i.e., Istim absent in Eqs. 8-11 below), the model became very unstable. [K+]i and [Na+]i were depleted to <0.5% and 20% of prestimulus baseline during 10 h, respectively, and [Cl-]i increased to over 600% of baseline. [Ca2+]i also increased to over 500% of initial values midway through the simulation, but returned to near baseline after 10 h.


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Fig. 2.   Effects of stimulus current assignment on ionic transients. For each stimulus assignment (stm), resulting [K+]i (A), [Na+]i (B), [Ca2+]i (C), and [Cl-]i (D) ionic transients are shown. All transients were altered by each assignment. Stimulus with K+ current assignment caused the smallest overall displacements.

Ionic Basis of [K+]i Transient Reversal

Figure 2 shows that the [K+]i transient reversal only occurs when the stimulus is attributed to K+. Because this phenomenon is well documented experimentally (7, 11-15) and in human tissues (27), additional simulations were conducted to determine the ionic mechanisms underlying the reversal. The quantity of charge carried by each K+ current was calculated by numerical integration over one cycle after each minute of sustained stimulation. Figure 3B shows summated K+ influx (INaK, Istim) and efflux (Ito, IKur,d, IKr, IKs, IK1). The combined magnitudes of K+ efflux currents initially exceeded the magnitude of K+ influx and [K+]i decreased (Fig. 3A). Over this time the magnitude of INaK gradually increased while outward K+ currents decreased, attenuating the transient to achieve a local minimum between 13.4 and 20 min when K+ influx and efflux were balanced. INaK then continued to increase, and with supplementation by Istim influx eventually exceeded efflux and [K+]i changes reversed. Thus slow INaK adaptation accounted for the [K+]i transient reversal, as previously postulated (11-15, 27). At the time of each integration, APD90 and APD50 were measured to within 0.5 ms. After the onset of stimulation, both APD90 and APD50 declined monotonically to steady state, with APD90 changes ceasing when [K+]i was within 1 mM of stabilization.


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Fig. 3.   Ionic mechanism of [K+]i transient reversal. After the onset of stimulation, [K+]i decreased (A) over many cycles because combined efflux currents (B) exceeded Na+-K+-ATPase current (INaK) influx. INaK gradually increased such that the direction of change in [K+]i reversed. Steady state was attained when influx and efflux were balanced. Action potential duration (APD) reduction (C) occurred very early and stabilized before [K+]i.

Unstable Fixed Points and Conservation Principle

It is not presently known whether ionic transients in models of this type are significantly influenced by the equation singularity and are therefore artifacts of the mathematical formulation. Before we compared model and experimental transients, the unstable fixed points of the mRNC equations and presence of the latent conservation principle were evaluated.

To demonstrate the fixed-point instability, initial [K+]i was decreased by 30, 60, and 90 mM, and the model was allowed to seek steady state by simulating 10 h without stimulation. If model fixed points were stable, concentrations would return to (or at least tend toward) the original unperturbed initial concentrations. The responses of all ionic species to the perturbations are shown in Fig. 4. It can be seen that the initial values of [K+]i (Fig. 4A) were perturbed, whereas the profiles of [Na+]i (Fig. 4B), [Ca2+]i (Fig. 4C), and [Cl-]i (Fig. 4D) began at the same initial values. Each transient reached a new steady-state concentration (fixed point) with displacement proportional to the [K+]i perturbation. The responses of [K+]i and [Cl-]i were monotonic, whereas [Na+]i and [Ca2+]i changes reversed early in the simulation. This behavior resulted from the equation singularity and demonstrates the strict dependence of model solutions on initial conditions.


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Fig. 4.   Unstable fixed points arising from mRNC equation singularity. Initial [K+]i was decreased by 30, 60, and 90 mM (A), and model equations were allowed to seek steady state by simulating 10 h without stimulation. At steady state, ionic transients were displaced in proportion to the [K+]i perturbations. Delta 30K, Delta 60K, and Delta 90K indicate transients resulting from [K+]i decreases of 30, 60, and 90 mM, respectively.

The basic conservation principle (32) is given by
&agr;<SUP>−1</SUP><SUB>0</SUB><IT>∂<SUB>t</SUB></IT><IT>u</IT><IT>=</IT><LIM><OP>∑</OP><LL><IT>i=</IT>1</LL><UL>6</UL></LIM><IT> &agr;</IT><SUP>−1</SUP><SUB><IT>i</IT></SUB><IT>∂<SUB>t</SUB>w<SUB>i</SUB></IT> (5)
where u is the voltage, w is a concentration variable, and alpha 0 = Cm - 1, alpha 1 = alpha 2 = (ViF) - 1, alpha 3 = (-ViF) - 1, alpha 4 = (2ViF) - 1, alpha 5 = (2VupF) - 1, and alpha 6 = (2VrelF) - 1.

The explicit form for the mRNC equations is given by
V<IT>=</IT><FR><NU>V<SUB>i</SUB>F</NU><DE>C<SUB>m</SUB></DE></FR> <FENCE>[Na<SUP>+</SUP>]<SUB>i</SUB><IT>+</IT>[K<SUP>+</SUP>]<SUB>i</SUB><IT>−</IT>[Cl<SUP>−</SUP>]<SUB>i</SUB><IT>+</IT>2[Ca<SUP>2+</SUP>]<SUB>i</SUB><IT>+</IT><FR><NU>2V<SUB>up</SUB></NU><DE>V<SUB>i</SUB></DE></FR> [Ca<SUP>2+</SUP>]<SUB>up</SUB><IT>+</IT><FR><NU>2V<SUB>rel</SUB></NU><DE>V<SUB>i</SUB></DE></FR> [Ca<SUP>2+</SUP>]<SUB>rel</SUB></FENCE><IT>+</IT><IT>C</IT><SUB>0</SUB> (6)
where Vi is the volume of the intracellular cytoplasm, and Vup and Vrel are the volumes of the SR uptake and release compartments, respectively. C0 is a constant of integration.

This conservation principle explicitly states that the potential difference between the inside and outside of the cell is regulated by the flow of ions through the cell membrane. It is readily apparent from Eq. 6 that membrane potential may remain constant as long as the total intracellular charge is conserved, regardless of the ionic composition. In this way, the principle predicts that the unstable fixed points demonstrated by the displaced ionic transients in Fig. 4 would have appeared stable (i.e., transients would have returned to original unperturbed initial concentrations) if each [K+]i decrease was offset with an equal but opposite increase in another cationic species.

This prediction was used to demonstrate the presence of the latent conservation principle in the mRNC equations. The initial value of [K+]i was decreased by 30, 60, and 90 mM as before, with each charge deficit offset by increasing initial [Na+]i by 30, 60, and 90 mM, respectively. The model was again allowed to seek steady state over 10 h without stimulation. The responses of all concentrations to the perturbations are shown in Fig. 5. It can be seen that [Ca2+]i (Fig. 5C) and [Cl-]i (Fig. 5D) responded to the [K+]i (Fig. 5A) and [Na+]i (Fig. 5B) offsets with departures proportional to the displacement magnitudes. As expected, all transients returned completely to the original unperturbed initial conditions over 10 h (except for the response of [Cl-]i to the 90 mM perturbations, which returned to within >99% of the initial [Cl-]i value). The responses of [Na+]i and [K+]i were monotonic, whereas [Ca2+]i and [Cl-]i reversed early in the simulation before returning toward baseline.


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Fig. 5.   Conservation principle latent in the mRNC equations. Initial [K+]i was decreased by 30, 60, and 90 mM along with offsetting initial [Na+]i increases of 30, 60, and 90 mM, respectively. Model equations were allowed to seek steady state by simulating 10 h without stimulation as before. Although the perturbations caused large initial displacements of [K+]i (A), [Na+]i (B), [Ca2+]i (C), and [Cl-]i (D), original initial concentrations were eventually recovered by all ionic species. Delta 30K/Na, Delta 60K/Na, and Delta 90K/Na indicate transients resulting from initial [Na+]i and [K+]i displaced by 30, 60, and 90 mM, respectively.

Model AP Transients

AP transients occurring simultaneously with ionic changes were measured using an experimentally reproducible simulation protocol. The mRNC model was paced at BCLs of 400, 300, and 200 ms for 35 min, and APs were collected among 0-5, 15-20, and 30-35 min of pacing. In this way, model performance was evaluated over 5,250, 7,000, and 10,500 cycles for the 400-, 300-, and 200-ms pacing BCLs, respectively, totaling 750, 1,000, and 1,500 APs per recording interval. Results with the stimulus current assigned to K+ are shown in Fig. 6. Changes were similar at all rates, and APs were close to steady state after 35 min. Reductions at a BCL of 200 ms were 34 and 13 ms for APD90 and APD50, respectively, with 91% and 92% of the change occurring during the initial 15 min. To investigate the effects of alternate stimulus current assignment on AP transients, simulations were repeated with the stimulus current assigned to Na+ (Fig. 7). APs were substantially shorter at all time points, and reductions were somewhat more extensive. Reductions at a BCL of 200 ms were 35 and 15 ms for APD90 and APD50, respectively, with 91% and 94% of the change occurring during the initial 15 min. Although reductions were similar, APs were significantly shorter and less physiological (Fig. 12) than for the K+ stimulus current assignment. We therefore used K+ stimulus assignment for all further analyses of mechanisms of activity-related ionic and AP transients in the model.


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Fig. 6.   Pacing-induced model AP transients with K+ stimulus assignment. APD at 90% (APD90; A) and and 50% repolarization (APD50; B) reductions are shown, with representative APs [300 ms basic cycle length (BCL)] from the 0-5 and 30-35 min pacing intervals (C). Marker at left indicates 0 mV.



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Fig. 7.   Pacing-induced model AP transients with Na+ stimulus assignment. APD90 (A) and APD50 (B) reductions are shown, with representative APs (300 ms BCL) from the 0-5 and 30-35 min pacing intervals (C). Marker at left indicates 0 mV.

Ionic Basis of Model AP Transients

The model was used to investigate the electrophysiological basis of the AP reductions. The transients in ion concentrations and ionic currents associated with the AP changes in Fig. 6 were determined. [Na+]i (Fig. 8B) and [Cl-]i (Fig. 8D) increased monotonically. [K+]i (Fig. 8A) initially decreased, stabilized, and began to increase after 17 (BCL 400 ms) and 25 (BCL 200 ms) min. [Ca2+]i (Fig. 8C) increased following an early rapid decline. As with the AP changes, all ionic transients were greater at faster rates and did not completely stabilize within the pacing interval. Each concentration evolved along an exponential time course as suggested by the statistical analyses of experimental results.


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Fig. 8.   Ionic transients associated with time-dependent mRNC APD reductions during stimulation at cycle lengths indicated. Over the 35-min pacing interval, [K+]i (A) decreased, whereas [Na+]i (B), [Ca2+]i (C), and [Cl-]i (D) increased.

The origin of the ionic transients was investigated. For the accumulation or depletion of ionic species the following inequality must hold
<LIM><OP>∫</OP><LL>cycle</LL></LIM> <LIM><OP>∑</OP></LIM><IT> I<SUB>i</SUB>≠</IT>0 (7)
where i = K+, Na+, Ca2+, or Cl-. Sigma Ii is the per-cycle sum of the charge carriers contributing to each concentration and is obtained by summing the relevant charge carriers from Eq. 2 with stoichiometric scaling of the pump and exchanger currents. For each ionic species, Sigma Ii is given by (with Istim attributed to K+)
<LIM><OP>∑</OP></LIM> I<SUB>K</SUB><IT>=</IT>−<IT>I</IT><SUB>to</SUB><IT>−I</IT><SUB>Kur,d</SUB><IT>−I</IT><SUB>Kr</SUB><IT>−I</IT><SUB>Ks</SUB><IT>−I</IT><SUB>K1</SUB><IT>+</IT>2<IT>I</IT><SUB>NaK</SUB><IT>−I</IT><SUB>stim</SUB> (8)

<LIM><OP>∑</OP></LIM> I<SUB>Na</SUB><IT>=</IT>−<IT>I</IT><SUB>Na</SUB><IT>−I</IT><SUB>b,Na</SUB><IT>−</IT>3<IT>I</IT><SUB>NaCa</SUB><IT>−</IT>3<IT>I</IT><SUB>NaK</SUB><IT>+</IT>CT<SUB>NaCl</SUB> (9)

<LIM><OP>∑</OP></LIM> I<SUB>Ca</SUB><IT>=</IT>−<IT>I</IT><SUB>Ca</SUB><IT>−I</IT><SUB>b,Ca</SUB><IT>−I</IT><SUB>p,Ca</SUB><IT>+</IT>2<IT>I</IT><SUB>NaCa</SUB> (10)

<IT>+</IT>SR(<IT>I</IT><SUB>up</SUB><IT>, I</IT><SUB>leak</SUB><IT>, I</IT><SUB>rel</SUB>)

<LIM><OP>∑</OP></LIM> I<SUB>Cl</SUB><IT>=I</IT><SUB>Cl,Ca</SUB><IT>+I</IT><SUB>b,Cl</SUB><IT>+</IT>CT<SUB>NaCl</SUB> (11)
where SR(Iup, Ileak, Irel) includes all Ca2+ fluxes between the SR and cytoplasm. Positive currents were defined as positive charge effluxes from the intracellular volume. The expressions for each charge carrier and the activity of the SR are fully described in Ref. 28.

To attain steady state at each stimulus rate, the cell attempts to remove the inequality in Eq. 7. Because certain charge carriers play only minor roles in the cardiac cycle, an equivalent contribution of each to Sigma Ii of Eq. 7 would not be expected. The currents that carried the greatest quantity of charge were most responsible for the magnitude of Sigma Ii and the resulting ionic transients. The greatest changes in current magnitude toward this end contributed most to neutralizing the concentration drift. To determine the total charge carried by all membrane currents and the functional changes in current magnitude over the pacing interval, numerical time integration of each current in Eqs. 8-11 was performed over one 300-ms cycle after 2.5 and 32.5 min of pacing. Integration results and the corresponding Sigma Ii are given in Tables 2-5. In the tables, Delta  indicates the magnitude of the contribution of functional changes to ionic stabilization. Sigma Ii indicates the overall charge imbalance at each time point, and Delta Sigma Ii indicates the magnitude of combined functional changes toward ionic stabilization.

                              
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Table 2.   Total charge carried by potassium currents over one cycle after 2.5 and 32.5 min of pacing


                              
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Table 3.   Total charge carried by sodium currents over one cycle after 2.5 and 32.5 min of pacing


                              
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Table 4.   Total charge carried by calcium currents and SR concentrations changes over one cycle after 2.5 and 32.5 min of pacing


                              
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Table 5.   Total charge carried by chloride currents over one cycle after 2.5 and 32.5 min of pacing

K+ and 35-min transients. All K+ currents (Table 2) adjusted toward a new [K+]i steady state, except the stimulus current, which has a fixed magnitude in the RNC model. The largest K+ current was efflux by IK1 after 2.5 and 32.5 min. Over the pacing interval, reduced efflux by IKur,d contributed most toward [K+]i stabilization, although reduced effluxes by IK1 and Ito were also important to limiting [K+]i depletion. In Table 2, negative Delta I for membrane currents indicates that current magnitude decreased during the pacing interval. Positive Delta Sigma IK indicates increased conservation of intracellular K+.

Na+ and 35-min transients. All Na+ charge carriers (Table 3) adjusted toward a new [Na+]i steady state, with the exception of Ib,Na. The largest Na+ charge carrier at both times was efflux by INaK. The greatest contributor to the pacing-induced increase in [Na+]i was INaCa, and functional changes in the balance of reverse-mode INaCa exchange also contributed most toward [Na+]i stabilization. In Table 3, negative Delta Sigma INa indicates decreased accumulation of intracellular Na+.

Ca2+ and 35-min transients. For Ca2+ (Table 4), ICa and Ip,Ca adjusted toward a new [Ca2+]i steady state, whereas INaCa and Ib,Ca opposed it. The overall magnitude of INaCa preferentially attenuated in favor of establishing a new [Na+]i steady state. The largest Ca2+ current was efflux by INaCa after 2.5 and 32.5 min. Reduced influx by ICa contributed most toward establishing a new [Ca2+]i steady state. The immediate drop following the onset of stimulation was due to large Ca2+ efflux carried by INaCa. The preceding train of conditioning pulses at 1 Hz before the onset of rapid stimulation reduced this early redistribution. The greater final magnitude of [Ca2+]i at shorter BCLs evinced the rate dependence of Ca2+ loading. SR fluxes were balanced during each cycle, and a net SR flux did not contribute appreciably to the Ca2+ overload. In Table 4, negative Delta Sigma ICa indicates decreased accumulation of intracellular Ca2+.

Cl- and 35-min transients. Finally, the magnitudes of all Cl- charge carriers (Table 5) adjusted toward establishing a new [Cl-]i steady state, except ICl,Ca, which was constrained to increase with increasing [Ca2+]i, thereby contributing to the delayed [Cl-]i steady state seen in Fig. 8. The largest Cl- charge carriers were influx by CTNaCl at both times. Increased efflux by Ib,Cl also contributed most toward establishing a new [Cl-]i steady state, although decreased influx by CTNaCl was only slightly less important. Compared with other functional changes contributing to charge balance, adjustment of Cl- charge carriers were of minor importance. In Table 5, negative Delta Sigma ICl indicates decreased accumulation of intracellular Cl-.

Contribution of concentration transients to AP reduction. To determine the relative contribution of each 35-min concentration transient (Fig. 8) to pacing-induced AP reduction, the 2.5-min AP was computed after clamping initial concentrations with values sampled 2 ms before the AP upstroke after 32.5 min of pacing (BCL 300 ms). Results are shown in Fig. 9. The addition of rapid pacing-induced changes in [K+]i (1.5% decrease) prolonged the 2.5-min measurement of APD90 by 1 ms (1.0% prolongation) but did not change APD50 (Fig. 9A). Pacing-induced changes in [Na+]i (18% increase) accounted for 100% and 121% of the overall APD50 and APD90 reductions, respectively (Fig. 9B). The reduction of APD90 was beyond that of the 35-min AP because these effects were augmented in the absence of the APD-preserving [K+]i decrease and [Ca2+]i change. Because [Ca2+]i is not constant over the AP and changes in Ca2+ handling strongly affect the [Ca2+]i time course, myoplasmic [Ca2+]i changes (24.7% increase) and changes in SR uptake (13.5% increase) and release (18.1% increase) compartments were also included. APD50 was unchanged, whereas APD90 was prolonged by 3 ms (3.1% prolongation). Pacing-induced changes in [Cl-]i (13.5% increase) did not alter APD. It was thus concluded that pacing-induced increased [Na+]i contributes significantly to AP shortening, whereas changes in [K+]i and Ca2+ handling oppose this effect. This result is consistent with Fig. 7, where the Na+ stimulus assignment markedly shortened APD relative to the K+ assignment, because of greater cell intracellular Na+ loading with Na+ as the stimulus current and a consequent outward shift in INaCa.


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Fig. 9.   Effects of rate-related ionic concentration changes on APs. Results were obtained by substituting 32.5-min values for intracellular concentration of each species (K+ in A, Na+ in B, Ca2+ in C, and Cl- in D) into the equations for the AP at 2.5 min. For Ca2+, 32.5-min Ca2+-handling parameters were also substituted, because intracellular Ca2+ during the AP is determined largely by Ca2+ handling in the sarcoplasmic reticulum.

Contribution of functional current changes to AP reduction. To determine the relative contribution of the pacing-induced ICa,L decrease to AP shortening, it was first necessary to determine the changes in calcium handling at 32.5 min without the influence of the abbreviated 32.5-min AP waveform. This was accomplished by computing the 32.5-min calcium transient ([Ca2+]i changes during single AP) with clamping of the 2.5-min AP waveform. ICa,L underlying the 2.5-min AP with clamping of the modified calcium transient (for ICa,L only) is shown in Fig. 10A. The peak magnitude of the current was slightly reduced due to increased [Ca2+]i-induced inactivation of ICa,L, a mechanism consistent with experimental studies (20, 21). These changes were not sufficient to alter APD50 or APD90 of the 2.5-min AP (Fig. 11A). To determine the relative contribution of INaCa changes to the pacing-induced AP reduction, the 2.5-min exchanger current was computed with clamping of the modified calcium transient (used for ICa,L above) and 32.5-min [Na+]i, both for INaCa only, producing the current and AP changes illustrated in Figs. 10B and 11B, respectively. The 2.5-min AP was significantly shortened by the INaCa changes occurring at 32.5 min, accounting for 83% and 104% of APD90 and APD50 reduction, respectively. Clearly, INaCa changes contributed importantly to rate-dependent APD alterations. To determine the relative contribution of the pacing-induced INaK increase to the corresponding AP reduction (BCL 300 ms), the 2.5-min AP was computed with the 32.5-min values of [K+]i and [Na+]i clamped for INaK only. The altered INaK waveform and resulting AP changes are shown in Figs. 10C and 11C, respectively. APD50 of the 2.5-min AP was unchanged, whereas the increased net outward current (also Tables 2 and 3) accounted for 4.2% of APD90 reduction. Analysis of other currents showed that they changed minimally between 2.5 and 32.5 min and did not contribute significantly to AP alterations over this interval.


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Fig. 10.   Effects of current parameters at 32.5 min on current during 2.5 min AP. A: ICa,L; B: INaCa; C: INaK. For each current, the defining parameters at 32.5 min were substituted into the 2.5-min AP equations, indicating the effects of pacing-induced parameter changes on current during the AP.



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Fig. 11.   Effects of pacing-induced changes in each current on the AP. Currents obtained in Fig. 10 were substituted individually into the AP at 2.5 min. A: ICa,L clamp; B: INaCa clamp; C: INaK clamp. Resulting AP indicates the effect that pacing at 32.5 min had on the AP via the current indicated. Results show that INaCa played the largest role, in itself accounting for most of the rate-related AP changes.

Experimental and Model AP Transients

Experiments were conducted to determine how AP transients in this species-specific dynamic AP model (Figs. 6 and 7) compare with tissue transients. Figure 12 shows experimental results expressed as the mean ± 95% confidence interval (Fig. 12, A and B). Representative APs from the 0-5 and 30-35 min recording intervals during pacing at BCL 300 ms are also shown (Fig. 12C). Mean APD and maximum diastolic potentials were within the standard ranges for canine atrial APs established by Wang et al. (33). Over the 35-min pacing interval, mean reductions of 10.3 and 12.8 ms were observed for APD90 and APD50, respectively, with 79% and 75% of the change occurred during the initial 15 min. APD90 and APD50 decreased exponentially at all pacing BCLs (P < 0.001), suggesting that reductions were tending toward steady state. Time constants ranged from 150 to 600 min, and regression results are plotted as dashed lines along with the data in Fig. 12. Compared with these experimental data, model transients (Figs. 6 and 7) were initially more extensive but approached steady state faster than their experimental counterparts. Overall, model (Fig. 6) and experimental transients were of a comparable order when the model stimulus assignment was attributed to K+, but model transients were quantitatively larger.


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Fig. 12.   Pacing-induced experimental AP transients. APD90 (A) and APD50 (B) reductions are shown with representative APs (300 ms BCL) from the midpoint of 0-5 and 30-35 min pacing intervals (C). Marker at left indicates -20 mV.


    DISCUSSION
TOP
ABSTRACT
INTRODUCTION
METHODS
RESULTS
DISCUSSION
REFERENCES

We have shown that dynamic models with unstable fixed points may stabilize, provided complete homeostatic mechanisms for all ionic species are present, including the stimulus charge. Model stability depended on the assignment of the stimulus current, and K+ stimulus assignment produced the smallest perturbations in the equilibrium of all ionic species. Model AP transients agreed qualitatively with experiments, and therefore were not appreciably influenced by potential model artifacts due to unstable fixed points. AP reduction was due to changes in the Na+/Ca2+ exchanger function related to accumulation of intracellular Na+. APD reduction was opposed by transient changes in [K+]i and [Ca2+]i.

Comparison With Previous Cardiac Models

The 1985 version of the DN model was the first to explicitly include concentration changes (5). Consequently, the DN equations became unstable because pacing gave rise to progressive changes in intracellular ionic concentrations. Varghese and Sell (32) later showed that model equations possess a hidden conservation principle, and Guan et al. (9) showed that dynamic model equations are singular. These findings provided a theoretical basis for the equation instabilities, because these mathematical features imply that model fixed points are inherently unstable.

Ionic drift is a common property of ionic models based on the original DN formulation scheme (5). Similar models include the human atrial myocyte models by Nygren et al. (26) and Courtemanche et al. (3), rabbit atrial myocyte model by Lindblad et al. (18), rabbit sinoatrial node model by Demir et al. (4), the ventricular myocyte models of Nordin (25) and the phase II Luo and Rudy (LR2) model (19), and the bullfrog atrial myocyte model by Rasmusson et al. (29). Models by Jafri et al. (10) and Winslow et al. (37) are also similar because they represent the Luo and Rudy equations with modified subcellular Ca2+ handling.

None of these earlier models monitored [Cl-]i. Lindblad et al. (18) included a formulation for Ib,Cl, but [Cl-]i was held constant such that Cl- fluxes did not disturb the ionic equilibrium. Nygren et al. (26) added a small electroneutral flux of Na+ to achieve long-term ionic homeostasis. It was suggested that this flux could be accounted for by a cotransport system with Cl- similar to the one implemented in the present study; however, these mechanisms were not modeled. Because these other models account for only [K+]i, [Na+]i, and [Ca2+]i, ionic equilibrium may theoretically be attained by INaK and INaCa. Rather than fixing [Cl-]i, we chose to provide for [Cl-]i equilibrium by formulating an empirical model of Cl- transport based on physiological mechanisms. This allowed changes in ICl,Ca to influence the ionic transients.

Transients in these earlier models were qualitatively similar to those of the mRNC model. In the model by Lindblad et al. (18), a small increase in [Na+]i was noted over each pacing cycle, and a slow downward drift of [Na+]i followed the termination of pacing. Rasmusson et al. (29) reported that [Na+]i decreased over 2 min in the absence of stimulation. [Na+]i increased and [K+]i decreased over 40 s of pacing, and the magnitude of the transients was greater at faster rates. In the LR2 model, [K+]i was reported to decrease, whereas [Ca2+]i and [Na+]i increased during 60 s of pacing at 2 Hz (19). The transients were used to illustrate the redistribution of ions that may result from overdrive and cause suppression of pacemaker cells. In the model by Courtemanche et al. (3), it was noted that the ionic balance was disturbed by periodic stimulation and that slow changes in intracellular ionic concentrations still persisted after several minutes. Initial transients were attributed to kinetic rate adaptation of the currents and dissipated over a few seconds. The small subsequent slow changes in ionic concentrations resulted in slow changes in the shape of the AP. To ensure that the AP morphology took into account kinetic adaptation at the specified frequency but did not include the effects of concentration changes, simulation results were presented after 12 s of pacing from rest. Similarly, Demir et al. (4) showed results after simulation of at least eight cycles. To avoid the effects of concentration changes on model results, Nygren et al. (26) added a small electroneutral inward flux of Na+ (discussed above), and Dokos et al. (6) modified the maximum INaK and time constant for uptake of intracellular calcium of the original DN equations.

In the model by Nordin (25), [Na+]i was monitored over 50 min of sustained pacing. Pacing was initiated at 1 Hz for 10 min and was then increased without interruption to 2 and 4 Hz for 10 min at each rate. [Na+]i markedly increased and then began to plateau during each interval. At 30 min, pacing was slowed to 2 Hz and then 1 Hz for 10 min at each rate. [Na+]i decreased along an exponential time course as the stimulus rate was slowed and returned to baseline after stimulation was stopped. The Nordin model also generated a fourfold increase in the size of myoplasmic [Ca2+]i transients as the stimulation rate increased and diastolic [Ca2+]i more than doubled. The role of the ionic transients on AP shortening was also studied. As in the mRNC model, [Na+]i-independent AP shortening over several minutes of stimulation at rapid rates was caused in part by a reduction of Ca2+ current secondary to increased myoplasmic [Ca2+]i (25). AP shortening was largely caused by an outward shift of INaCa as [Na+]i increased (25).

Comparison With Experimental Findings

The models discussed above displayed transients that agree qualitatively with previous experimental observations. Increased rate has been shown to result in a transient loss of [K+]i in isolated preparations of cardiac tissue (11, 13) from whole heart preparations in vitro (7) and from heart in vivo (27). Kline et al. (11) also reported that membrane potential became more negative, reflecting increased Na+-K+ pump activity as predicted by the mRNC model (Table 2). Using K+ selective electrodes in canine Purkinje fibers, Kline et al. (11) measured an extracellular K+ concentration ([K+]o) displacement of 0.5 mM and return to baseline after ~5 min. With similar techniques, Kunze (12) measured a [K+]o transient change of ~0.95 mM over 12 min (BCL 300 ms) in rabbit atria. In the frog ventricle, reversals were reported to occur over ~17-60 min depending on type of tissue preparation (13). These data and the time course of [K+]i changes in the mRNC model (Figs. 3 and 8) were of the same order. Pacing-induced increases in [Na+]i and [Ca2+]i have been measured experimentally (14, 15), and rate-dependent increases in [Ca2+]i have been observed (31). Transient increases in [Na+]i were recognized to be closely related to [K+]i changes (11, 12, 14); however, [Na+]i was not quantified in these studies. Measurement of pacing-related [Ca2+]i increases in canine atria (31) expressed [Ca2+]i as a fluorometric ratio (R400/500), preventing quantified comparison with the model. APD decreases were measured over 3 h (38) and 4 h (2) of pacing in the atria of Langendorff-perfused rabbit hearts. APD was shortened by 14-17 ms after 4 h of pacing (BCL 333 ms) (2). Consistent with the AP transients measured in the present study, no steady-state AP was reached in either case. Although APs recorded from intact tissue may not be directly comparable to models formulated to represent single cells, tissue preparations are advantageous because single isolated cell action potentials are difficult to maintain in stable conditions for prolonged periods because of deterioration in cell viability, and because the enzymes needed to isolate cells damage ionic currents. As such, tissue level experiments may provide a more reliable physiological comparison for long-term model performance. Although modifications to artificially stabilize model concentrations (6, 26) demonstrate that the overall model formulation is such that equilibrium can be reasonably maintained, the results of the present study suggest that such changes may not be appropriate.

Stimulus Current Assignment

None of the models discussed indicate that the stimulus current was assigned to an ionic species, the balance of which is explicitly included in the model. This is also true of the Courtemanche model (as noted) published by our laboratory (3). Results of the present study indicate that assignment of the stimulus current is necessary for model stability and that the choice of the stimulus charge-carrying ion affects the magnitude of the transients.

There is no experimental evidence on which to allocate the stimulus current carrier for model simulations. The most likely charge carriers are K+ and Na+, which are the cations that are by far the most concentrated in the intracellular and extracellular compartments, respectively. The resting ionic concentrations in the heart favor Na+ as an inward current carrier. However, during impulse propagation, cell-to-cell coupling is effected by pore-forming gap junctions, which are highly permeable to intracellular cations. Because K+ is by far the most concentrated mobile intracellular ionic species, it is likely that K+ movement plays an important role in excitatory cell-to-cell transmission. In addition, when a portion of the membrane is depolarized, the adjacent membrane may respond by depolarization via local movement of subsarcolemmal K+. The results with Na+ as the charge carrier (Fig. 7) resulted in unphysiologically short action potentials, because Na+ loading during activity favored reverse-mode outward INaCa (Figs. 9-11). Because attributing the stimulus current to K+ reproduced experimental observations of [K+]i changes (Fig. 2), because the K+ assignment best preserved the intracellular ionic equilibrium (Fig. 2), and because AP transients were most physiological for the K+ stimulus carrier (Fig. 6), K+ stimulus attribution was the preferred assignment. Assignment of stimulus to an ionic species is necessary for stability. Physiologically, the stimulus current may actually be carried by more than one ionic species; however, in the absence of knowledge about the relative participation of different ionic species, it is reasonable and practical to attribute stimulus current to a single ionic species for long-term simulations. It is possible that lack of stability in related models may be corrected by the appropriate stimulus current assignment.

Novel Aspects and Potential Significance

The present study demonstrated that: 1) tissue and model transients are of the same order; 2) any distortion arising from dynamic model equation instabilities is not likely to be major; 3) dynamic models may reach absolute stability during sustained pacing, provided they contain complete homeostatic mechanisms for all ionic species; 4) assignment of the stimulus current contributes importantly to model stability during maintained activity; 5) K+ is likely the most appropriate stimulus current assignment; and 6) slow rate-related APD changes are likely related to intracellular Na+ accumulation and outward INaCa augmentation. To our knowledge, our study is the first to examine systematically long-term time-related ionic and AP transients in a DN-type AP model. Our results suggest that model equations formulated to reproduce short-term electrophysiological behavior may also reproduce longer-term changes in myocyte electrophysiology.

Sustained rapid pacing is known to induce electrophysiological remodeling, mimicking chronic atrial fibrillation (AF) (22, 35). Tachycardia-induced remodeling shortens APD and abolishes AP rate adaptation, thereby enhancing atrial arrhythmogenicity ("AF begets AF") (35, 36). In atrial myocytes of dogs atrially paced at 400 beats/min for 6 wk, Yue et al. (40) found that the densities of ICa and Ito were progressively decreased by 69 and 65%, respectively, as a result of downregulation of mRNA encoding ICa and Ito alpha -subunits (41). The most extensive remodeling occurred early and gradually attenuated toward the end of the pacing period. In contrast, no remodeling of IKr, IKs, IK1, IKur,d, or ICl,Ca was found. The present study provides insights into the functional events following the onset of rapid pacing. Results here indicate that ionic transients cause short-term APD reductions (over 30 min) that precede remodeling per se. These functional changes may contribute to early AF-promoting effects of atrial tachycardia (23).

Potential Limitations

Both the model simulations and experimental observations showed time-dependent decreases in APD over 15-30 min of observation. However, there were quantitative differences between experimental observations (Fig. 12) and model simulations (Fig. 6), with changes being larger and faster in the model. In addition, model APDs were somewhat shorter than experimental values. A number of factors may have contributed to these discrepancies.

Agreement between model and experiment was theoretically limited. The explicit form of the conservation principle (Eq. 5) includes a constant of integration, C0. The physical significance of C0 may be understood by recognizing that the conservation principle is Faraday's principle
<IT>V</IT> = <FR><NU>&Dgr;<IT>Q</IT></NU><DE><IT>C<SUB>m</SUB></IT></DE></FR>, &Dgr;Q = &Sgr;<IT>Q</IT><SUB>0</SUB> − &Sgr;<IT>Q</IT><SUB>i</SUB>
where Q0 is extracellular charge and Qi is intracellular charge rewritten in terms of ionic concentration. Here, Qo is fixed, and Sigma Qi changes throughout the cardiac cycle. Although the model accounts for the concentrations of the ionic species predominantly responsible for the AP, other ionic species (e.g., HCO<UP><SUB>3</SUB><SUP>−</SUP></UP>, SO<UP><SUB>4</SUB><SUP>2−</SUP></UP>, PO<UP><SUB>4</SUB><SUP>3−</SUP></UP>, and Mg2+) are found within the cardiac myocyte as well as extracellularly. C0 contains the combined effect of additional ionic species and may be expressed as
<IT>C</IT><SUB>0</SUB><IT>=</IT><FR><NU>(<IT>&Sgr;Q</IT><SUP>unknown</SUP><SUB>0</SUB><IT>−&Sgr;Q</IT><SUP>unknown</SUP><SUB>i</SUB>)</NU><DE><IT>C</IT><SUB>m</SUB></DE></FR> (12)
where Q0 and Qi indicate extracellular and intracellular charge, respectively. The presence of these additional ionic species in physiological systems necessarily implies discrepancies with model results.

It was recognized, as discussed above, that experimental AP recordings were made from a tissue syncytium, whereas the model represents an isolated cell. The role of one-dimensional propagation effects was investigated by modifying Eq. 1 to obtain the reaction-diffusion system
<FR><NU>d<IT>V</IT></NU><DE>d<IT>t</IT></DE></FR><IT>=</IT><FR><NU>−(<IT>I</IT><SUB>ion</SUB><IT>+I</IT><SUB>stim</SUB>)</NU><DE><IT>C</IT><SUB>m</SUB></DE></FR><IT>+D∇</IT><SUP>2</SUP><IT>V</IT> (13)
in time and one space dimension, where D = 0.001 cm2/ms and nabla 2 is the second-derivative Laplacian operator in space.

The finite difference equation resulting from Eq. 13 is
<IT>V</IT><SUP><IT>n+</IT>1</SUP><SUB><IT>j</IT></SUB><IT>=</IT><IT>V</IT><SUP><IT>n</IT></SUP><SUB><IT>j</IT></SUB><IT>−&Dgr;t </IT><FR><NU>(<IT>I</IT><SUB>ion</SUB><IT>+I</IT><SUB>stim</SUB><IT>+I</IT><SUB>couple</SUB>)</NU><DE><IT>C</IT><SUB>m</SUB></DE></FR> (14)
where V<UP><SUB><IT>j</IT></SUB><SUP><IT>n</IT></SUP></UP> is the voltage at time step n and location j. Delta t and Delta x are the time and space discretization steps fixed at 5 µs and 0.025 cm, respectively. Icouple is the coupling current between adjacent cells with a 3-point central difference approximation to the Laplacian given by
I<SUB>couple</SUB><IT>=</IT>−<IT>D </IT><FR><NU><IT>C</IT><SUB>m</SUB></NU><DE><IT>&Dgr;x</IT><SUP>2</SUP></DE></FR> (<IT>V</IT><SUP><IT>n</IT></SUP><SUB><IT>j+</IT>1</SUB><IT>−</IT>2<IT>V</IT><SUP><IT>n</IT></SUP><SUB><IT>j</IT></SUB><IT>+</IT><IT>V</IT><SUP><IT>n</IT></SUP><SUB><IT>j−</IT>1</SUB>) (15)
Preliminary cable simulations with Icouple attributed to K+ revealed that transients were augmented in coupled segments, and that the net charge carried by Icouple was nearly 30 times less than Istim. The finding that reduced net stimulus current augmented the ionic transients is consistent with the exaggerated transients observed in the single cell when the stimulus current was not assigned (Fig. 2). Although it may have been meaningful to study model stability and fully characterize model transients in the context of propagation, this was not done for reasons of computational tractability. Wall time required to pace a 50-cell cable for 1 h was on the order of weeks, and simulations of this type may not be parallelized. It would be expected that transients in a propagated model would also reach absolute stability, although substantially more time would likely be required in a distributed system.

We assumed that extracellular ionic concentrations were constant. This is a reasonable assumption for isolated cells. However, the type of experimental preparation may influence ionic transients (13), and in a multicellular preparation ion accumulation/depletion phenomena can occur and contribute to rate-related changes. Also, biochemical and molecular changes may occur in vivo that are not reproduced in the purely ionic mathematical model. Finally, the experimental recording method also includes potential artifacts, including possible tissue ischemia during perfusion with crystalloid solutions that have limited oxygen-carrying capacity and tissue damage during isolation and experimental preparation.


    ACKNOWLEDGEMENTS

The authors thank Wei Han and Drs. Hui Sun and Danshi Li for assistance with the experimental preparations.


    FOOTNOTES

First published November 29, 2001;10.1152/ajpheart.00489.2001

This research was funded by grants from the Canadian Institutes of Health Research (CIHR), the Mathematics of Information Technology and Complex Systems (MITACS) Network of Centers of Excellence, a CIHR MD, PhD Studentship (to J. Kneller), and the Merck Pharmacology Fellowship Program.

Address for reprint requests and other correspondence: S. Nattel, Research Center, Montreal Heart Institute, 5000 Belanger St. E., Montreal, Quebec H1T 1C8, Canada (E-mail: nattel{at}icm.umontreal.ca).

The costs of publication of this article were defrayed in part by the payment of page charges. The article must therefore be hereby marked "advertisement" in accordance with 18 U.S.C. Section 1734 solely to indicate this fact.

Received 4 June 2001; accepted in final form 20 November 2001.


    REFERENCES
TOP
ABSTRACT
INTRODUCTION
METHODS
RESULTS
DISCUSSION
REFERENCES

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Am J Physiol Heart Circ Physiol 282(4):H1437-H1451
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