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Research Center, Montreal Heart Institute, Montreal, Quebec H1T 1C8, Canada
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ABSTRACT |
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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
ionic drift; action potential transients; atrial fibrillation; electrophysiology; ion channels and transporters
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INTRODUCTION |
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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.
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METHODS |
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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
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(1) |
transport formulation (described below), the total transmembrane ionic
current is given by
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(2) |
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
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(3) |


ECl (where ENa is the equilibrium potential of Na+ and ECl
is the equilibirium potential of Cl
),


The background leakage current (Ib,Cl) is given
by
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(4) |
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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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
M
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.
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RESULTS |
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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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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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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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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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The basic conservation principle (32) is given by
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(5) |
0 = Cm
1,
1 =
2 = (ViF)
1,
3 = (
ViF)
1,
4 = (2ViF)
1,
5 = (2VupF)
1, and
6 = (2VrelF)
1.
The explicit form for the mRNC equations is given by
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(6) |
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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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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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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The origin of the ionic transients was investigated. For the
accumulation or depletion of ionic species the following inequality must hold
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(7) |
.
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,
Ii is given by (with
Istim attributed to K+)
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(8) |
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(9) |
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(10) |
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(11) |
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
Ii of Eq. 7 would not be expected. The currents that carried the greatest
quantity of charge were most responsible for the magnitude of
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
Ii are given in Tables
2-5. In the tables,
indicates
the magnitude of the contribution of functional changes to ionic
stabilization.
Ii indicates the overall
charge imbalance at each time point, and

Ii indicates the magnitude of combined
functional changes toward ionic stabilization.
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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
I for membrane currents
indicates that current magnitude decreased during the pacing interval.
Positive 
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

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

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 
ICl
indicates decreased accumulation of intracellular Cl
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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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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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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.
|
| |
DISCUSSION |
|---|
|
|
|---|
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
-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
|
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


|
(12) |
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
|
(13) |
2 is the second-derivative
Laplacian operator in space.
The finite difference equation resulting from Eq. 13 is
|
(14) |

t and
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
|
(15) |
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.
| |
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