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1 Research Center, Montreal Heart Institute, Montreal, Quebec H1T 1C8; Départements de 2 Physiologie and 4 Médecine, Université de Montréal, Montreal, Quebec H3C 3J7; and 3 Department of Pharmacology, McGill University, Montreal, Quebec H3G 1Y6, Canada
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ABSTRACT |
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The mechanisms underlying many important properties of the human atrial action potential (AP) are poorly understood. Using specific formulations of the K+, Na+, and Ca2+ currents based on data recorded from human atrial myocytes, along with representations of pump, exchange, and background currents, we developed a mathematical model of the AP. The model AP resembles APs recorded from human atrial samples and responds to rate changes, L-type Ca2+ current blockade, Na+/Ca2+ exchanger inhibition, and variations in transient outward current amplitude in a fashion similar to experimental recordings. Rate-dependent adaptation of AP duration, an important determinant of susceptibility to atrial fibrillation, was attributable to incomplete L-type Ca2+ current recovery from inactivation and incomplete delayed rectifier current deactivation at rapid rates. Experimental observations of variable AP morphology could be accounted for by changes in transient outward current density, as suggested experimentally. We conclude that this mathematical model of the human atrial AP reproduces a variety of observed AP behaviors and provides insights into the mechanisms of clinically important AP properties.
action potential morphology; action potential rate dependence; transient outward current; L-type calcium current; sodium/calcium exchanger
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INTRODUCTION |
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THE HUMAN ATRIAL ACTION POTENTIAL (AP) and ionic currents that underlie its morphology are of critical importance to our understanding of the electrical properties of atrial tissues in normal and pathological conditions. AP shape and underlying ionic current densities are frequency dependent and may be modulated by specific pharmacological agents (33). Their properties are known to change during the course of atrial arrhythmias or as a result of other cardiac pathologies (32, 39). In addition, APs have shown significant variability in morphology, ranging from triangular APs with no sustained plateaus to long APs with definite spike-and-dome morphology, even when recorded from cells isolated from the same atrial sample (4, 33, 54). There is a need to integrate the information obtained from measurements of single currents to understand complex current interactions during the AP and their role in controlling AP morphology.
Until recently, limited data were available on the various currents underlying the AP. New findings have revealed important properties and significant interspecies differences. For example, the transient outward current (Ito), present in human and rabbit atrial cells (8, 16, 25, 47), has been shown to recover from inactivation at least two orders of magnitude faster in humans than in rabbits (20, 47). A novel delayed rectifier current (IKur) has been identified in human atrial cells (1, 18, 41, 48, 53) and is different from the sustained current (Isus) observed in rabbit atrial cells (12). IKur also differs from delayed rectifiers in other species that show kinetically similar characteristics (3, 6, 29). Additional data have been obtained on the classic delayed rectifier currents (IKr and IKs) (54, 55), the time-independent inward rectifier current (IK1) (30, 31), the fast Na+ current (INa) (42), the L-type Ca2+ current (ICa,L) (35) and its inactivation by voltage and intracellular Ca2+ (26, 49), and the Na+/Ca2+ exchanger current (INaCa) (4).
Models of atrial cells based on animal data only have been published (14, 36, 40, 60). Although these models have provided valuable insights into the mechanisms underlying AP generation in these species, the existence of significant interspecies differences and the amount of human data available indicate a need for an AP model based specifically on direct measurements of human atrial currents. To address this issue, we developed a mathematical model of the AP based on ionic current data obtained directly in human atrial cells. When human data were insufficient to characterize a given atrial current fully, we supplemented with animal data and referred to existing published models of atrial and ventricular APs (14, 36, 37, 40, 60). The most recent published models of mammalian cardiac cells are those of Luo and Rudy (37) (LR2 model) and Linblad et al. (36) (LMCG model), based on measurements from guinea pig ventricular cells and rabbit atrial cells, respectively. Our model builds mostly on the work of Luo and Rudy to develop a working model of the human atrial AP.
Our primary goal was to develop a useful model of the AP from which we could gain insights into experimental observations made on human atrial cells and tissues and make predictions regarding the behavior of these cells under previously untested conditions. Throughout our description of the model, we clearly indicate the sources of data used to derive model parameters, how the parameters were obtained, and whether they were derived directly from data or modified to improve our representation of the AP. We then use the model to investigate the mechanism of experimentally measured AP rate dependence, the changes in AP morphology in the presence of pharmaceutical blockers of the ICa,L and the Na+/Ca2+ exchanger, and the variability in experimentally observed AP morphology.
Glossary
| V | Transmembrane potential |
| R | Gas constant |
| T | Temperature |
| F | Faraday constant |
| Cm | Membrane capacitance |
| AP | Human atrial action potential |
max |
Maximal AP upstroke velocity (dV/dtmax) |
| APA | AP amplitude (peak AP voltage minus diastolic voltage at onset of AP) |
| APO | AP overshoot (peak AP voltage >0 mV) |
| APD | AP duration |
| APD50 | APD measured from AP onset to 50% of total APA repolarization |
| APD90 | APD measured from AP onset to 90% of total APA repolarization |
| AF | Atrial fibrillation |
| I-V | Current-voltage |
| Q10 | Temperature adjustment factor, k(T ) = k(T0)Q(T T0)/1010
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SR
Sarcoplasmic reticulum
JSR
Junctional SR, SR release compartment
NSR
Network SR, SR uptake compartment
Vcell
Cell volume
Vi
Intracellular volume
Vup
SR uptake compartment volume
Vrel
SR release compartment volume
[X ]o
Extracellular concentration of ion X
[X ]i
Intracellular concentration of ion X
Cmdn
Calmodulin, sarcoplasmic Ca2+ buffer
Trpn
Troponin, sarcoplasmic Ca2+ buffer
Csqn
Calsequestrin, JSR Ca2+ buffer
[Ca2+]rel
Ca2+ concentration in release compartment
[Ca2+]up
Ca2+ concentration in uptake compartment
[Ca2+]Cmdn
Ca2+-bound calmodulin concentration
[Ca2+]Trpn
Ca2+-bound troponin concentration
[Ca2+]Csqn
Ca2+-bound calsequestrin concentration
EX
Equilibrium potential for ion X
Iion
Total ionic current
Ist
Stimulus current
x
Forward rate constant for gating variable x
x
Backward rate constant for gating variable x
x
Time constant for gating variable x
x
Steady-state relation for gating variable x
INa
Fast inward Na+ current
gNa
Maximal INa conductance
m
Activation gating variable for INa
h
Fast inactivation gating variable for INa
j
Slow inactivation gating variable for INa
IK1
Inward rectifier K+ current
gK1
Maximal IK1 conductance
Ito
Transient outward K+ current
gto
Maximal Ito conductance
KQ10
Q10-based temperature adjustment factor
oa
Activation gating variable for Ito
oi
Inactivation gating variable for Ito
IKur
Ultrarapid delayed rectifier K+ current
gKur
Maximal IKur conductance
ua
Activation gating variable for IKur
ui
Inactivation gating variable for IKur
IKr
Rapid delayed rectifier K+ current
gKr
Maximal IKr conductance
xr
Activation gating variable for IKur
IKs
Slow delayed rectifier K+ current
gKs
Maximal IKs conductance
xs
Activation gating variable for IKs
ICa,L
L-type inward Ca2+ current
gCa,L
Maximal ICa,L conductance
d
Activation gating variable for ICa,L
f
Voltage-dependent inactivation gating variable for ICa,L
fCa
Ca2+-dependent inactivation gating variable for ICa,L
Ip,Ca
Sarcoplasmic Ca2+ pump current
Ip,Ca(max)
Maximal Ip,Ca
INaK
Na+-K+ pump current
INaK(max)
Maximal INaK
fNaK
Voltage-dependence parameter for INaK
[Na+]o-dependence parameter for INaK
Km,Na(i)
[Na+]i half-saturation constant for INaK
Km,K(o)
[K+]o half-saturation constant for INaK
INaCa
Na+/Ca2+ exchanger current
INaCa(max)
INaCa scaling factor
Km,Na
[Na+]o saturation constant for INaCa
Km,Ca
[Ca2+]o saturation constant for INaCa
ksat
Saturation factor for INaCa
Voltage-dependence parameter for INaCa
Ib,Na
Background Na+ current
gb,Na
Maximal Ib,Na conductance
Ib,Ca
Background Ca2+ current
gb,Ca
Maximal Ib,Ca conductance
Irel
Ca2+ release current from the JSR
krel
Maximal Ca2+ release rate for Irel
u
Activation gating variable for Irel
v
Ca2+ flux-dependent inactivation gating variable for Irel
w
Voltage-dependent inactivation gating variable for Irel
Fn
Sarcoplasmic Ca2+ flux signal for Irel
Iup
Ca2+ uptake current into the NSR
Iup(max)
Maximal Ca2+ uptake rate for Iup
[Ca2+]up(max)
Maximal Ca2+ concentration in NSR
Itr
Ca2+ transfer current from NSR to JSR
tr
Ca2+ transfer time constant
Iup,leak
Ca2+ leak current from the NSR
[Cmdn]max
Total calmodulin concentration in myoplasm
[Trpn]max
Total troponin concentration in myoplasm
[Csqn]max
Total calsequestrin concentration in JSR
Km,Cmdn
Ca2+ half-saturation constant for calmodulin
Km,Trpn
Ca2+ half-saturation constant for troponin
Km,Csqn
Ca2+ half-saturation constant for calsequestrin
Vrest
Resting membrane potential
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MODEL DESCRIPTION |
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General
We model the cell membrane as a capacitor connected in parallel with variable resistances and batteries representing the ionic channels and driving forces. The time derivative of the membrane potential V (with the assumption of an equipotential cell) is given by
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(1) |
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(2) |
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A modified Euler method is used to integrate Eq. 1 with a fixed
time step
t = 0.005 ms (see APPENDIX,
Numerical Integration). All simulations were performed on a
local workstation (SGI Indigo 2XZ R4400) using double-precision
arithmetic. A description of the model current formulations and their
general mathematical representations are given below. A detailed
listing of all equations and parameters can be found in the
APPENDIX.
Membrane Currents
Fast Na+ current. The model implements INa as a modification of the widely used Ebihara-Johnson model (15) proposed by Luo and Rudy (37). The current is given by
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(3) |
max). We use
gNa = 7.8 nS/pF, which is ~1.3 times the
temperature-adjusted value (with the assumption of
Q10 = 3) reported by Sakakibara et al. Figure
2 shows the steady-state activation and
inactivation curves, as well as time constants, used in the model. Data
from Sakakibara et al., shifted by the amounts described above and temperature corrected, are overlaid on the model curves. For activation time constants, temperature-adjusted data from Schneider et al. are
shown. The peak current-voltage (I-V )
relationship for INa is displayed in Fig.
3. No experimental I-V
curve was included, because available data (19, 42, 46), as a result of
equal intra- and extracellular Na+ concentrations, display
a nonphysiological reversal potential for INa close
to 0 mV.
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Inward rectifier K+ current. The model implements IK1 on the basis of available current data and resting membrane resistance measurements. The current is given by
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(4) |
for a 100-pF cell). We decreased
IK1 conductance to compensate for this
using gK1 = 0.09 nS/pF. When the latter is used,
input resistance calculated for a voltage step from
80 to
90 mV
is ~174 M
, closer to experimentally recorded values (e.g., ~150
M
in Ref. 52). However, there is a large range of measured values
for the input resistance of human atrial cells that may reflect
differences in the isolation procedure and its effect on
isolation-sensitive currents such as IK1. The
I-V relationship of IK1 is shown in
Fig. 4.
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Transient outward and ultrarapid rectifier K+ currents. The model implements Ito and IKur on the basis of data from our laboratory (20, 53). The currents are given by
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(5) |
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(6) |
80 mV. The traces of
Ito + IKur show typical rapid inactivation of Ito followed by a sustained outward
current carried by IKur. The combined model
current traces are overlaid with scaled experimental recordings from
Wang et al. (53).
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Rapid and slow delayed rectifier K+ currents. The model implements the two components of the classic delayed rectifier, IKr and IKs, on the basis of data from our laboratory (54, 55). The currents are given by
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(7) |
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(8) |
x(r) and
x(s) on V. Current amplitudes were
adjusted to match AP morphology. The I-V relationships
of both currents, along with scaled experimental I-V
curves from Wang et al., are shown in Fig. 3. Figure
8 displays traces for
IKr and IKs in response to
3,000-ms voltage-clamp steps from a holding potential of
80 mV. The
model traces are overlaid with scaled experimental recordings from Wang
et al. The combined model IK trace shows rapid and
slow activation phases linked to activation of IKr
and IKs, respectively.
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L-type Ca2+ current. The model implements the slow inward Ca2+ current on the basis of previous models and data from human atrial cells (35, 37, 40, 49). The current is given by
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(9) |
f,Ca = 2 ms)
is incorporated into the fCa gate, as reported by
Friedman et al. (21, 22) (see SR Ca2+ storage and
release), to better reproduce the time course of Ca2+-dependent inactivation of ICa,L.
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80 mV. The current traces exhibit rapid
activation, followed by two distinct inactivation time scales. Rapid
inactivation mediated by intracellular Ca2+ inactivates a
large fraction of the current soon after the onset of the voltage
step and is followed by a slower voltage-dependent inactivation.
The model response after a voltage-clamp step to 0 mV is compared with
a scaled averaged experimental recording from Sun et al. in Fig.
10B.
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Na+-K+ pump. Our formulation of the Na+-K+ pump follows the model of Luo and Rudy (37). The amplitude of the pump current [INaK(max)] is adjusted to maintain stable intracellular ion concentrations at rest (37, 59). The pump current is given by
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(10) |
Na+/Ca2+ exchanger. The exchanger current follows the revised formulation of Luo and Rudy (37). The exchanger current is given by
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(11) |
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Background Ca2+ and Na+ currents. The Ca2+ leak current is adjusted to maintain a stable [Ca2+]i at rest. The Na+ leak current is adjusted along with INaK to maintain stable [Na+]i and [K+]i at rest. Both approaches have been used extensively in previous AP models (37, 59). The background currents are given by
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(12) |
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(13) |
Ca2+ pump current. A sarcolemmal Ca2+ pump is included in the model to maintain [Ca2+]i at physiological levels. The pump current formulation (37, 40) is given by
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(14) |
SR Ca2+ storage and release. SR Ca2+ uptake and release are implemented using a two-compartment model, as reported by Luo and Rudy (37). Intracellular Ca2+ is taken up into an SR uptake compartment [network SR (NSR), 5.52% of cell volume] coupled to a release compartment [junctional SR (JSR), 0.48% of cell volume]. Uptake is [Ca2+]i dependent and includes a leak from the uptake compartment back into the intracellular space. The main currents (in mM/ms) involved in SR Ca2+ handling are given by
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(15) |
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(16) |
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(17) |
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Myoplasmic and SR Ca2+ buffers. Ca2+ buffering within the cytoplasm is mediated by troponin and calmodulin. Ca2+ buffering in the release compartment is mediated by calsequestrin. In particular, calsequestrin is essential in providing sufficient Ca2+ stores for release within the limited JSR volume. Buffers are considered at equilibrium throughout our simulations, and incoming Ca2+ in the myoplasm and JSR compartments is instantaneously equilibrated into free and buffer-bound fractions (see APPENDIX for computational methods). Buffer concentrations and binding constants are given in Table 1 and follow the models of Luo and Rudy (37) and Rasmusson et al. (40).
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RESULTS |
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Resting Properties
The model has a stable resting potential near
81 mV. All
intracellular concentrations are stable at rest with
[Ca2+]i = 0.1 µM,
[Na+]i = 11.2 mM, and
[K+]i = 139.0 mM. As stated earlier,
the resting input resistance measured as the current change from
80
to
90 mV is ~174 M
. The first 100-ms period of Fig.
14 shows the balance of membrane currents
in diastole during stimulation at 1,000 ms. During the diastolic phase
the steady state involves a balance between the pump and
exchanger currents, the background currents, and
IK1.
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Model AP
Figure 14 shows a model AP generated during stimulation at 1,000 ms in response to 2-ms pulses of 2-nA amplitude (twice diastolic threshold). The time course of membrane currents during the AP is also shown in Fig. 14. AP duration (APD) at 50 and 90% repolarization (APD50 and APD90), APA, AP overshoot (APO), and
max are reported in
Table 3. The AP generated with the control
parameters exhibits a spike-and-dome morphology commonly observed in
human atrial AP recordings. This morphology is similar to
experimentally recorded spike-and-dome APs reported by Benardeau et al.
(4) and Wang et al. (53). Intracellular Ca2+ dynamics
during the AP are shown in Fig. 15.
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AP Rate Dependence
Rate dependence of APD and AP refractoriness is an essential property of atrial cells that is central to our understanding of excitability and propagation patterns in the atria, particularly during reentrant arrhythmias. Table 3 summarizes the main properties of the model APs at various pacing periods. Figure 16 displays model APs, after 12 s of pacing, for various stimulation periods ranging from 1,000 to 300 ms. There is no significant increase in APD at >1,000 ms. This is in agreement with data from Fermini et al. (20) that showed no change in AP morphology and APD on changing the stimulation period abruptly from 10 to 1 s. Larger relative rate-dependent changes in APD are measured with APD50 than with APD90, as in experimental preparations (20, 32). Figure 16 also shows APs obtained in a tissue preparation at stimulation periods of 1,000, 600, and 300 ms (56). The experimentally observed changes in APD and AP morphology with stimulation rate are qualitatively similar to those observed in the model.
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The mechanism underlying APD changes may be investigated by examining the detailed current traces for APs at stimulation periods of 1,000 and 300 ms depicted in Fig. 16. The traces reveal that an increase in stimulation rate conspicuously reduces ICa,L. We inspected the time course of gating variables for ICa,L, IKr, and IKs to quantify their role in rate-dependent AP changes. We first consider a comparison of the slow gating variables f, fCa, xr, and x2s at the onset of the AP for stimulation periods of 1,000 and 300 ms. These slow variables are most susceptible to alteration at fast rates. For IKr and IKs, we found that incomplete deactivation at 300 ms resulted in an increase of 0.05 for xr and 0.004 for x2s compared with their values at 1,000 ms. This compares with reductions of 0.2 for f and 0.16 for fCa. The maximal conductances of ICa,L and IKs are comparable, whereas the maximal conductance of IKr is four times smaller. Hence, the changes in the f and fCa gate result in larger changes in current at the faster rate, pointing to ICa,L as an important determinant of AP rate dependence. However, the absolute magnitude of current changes with rate must be considered relative to the amplitude of other currents activating at a similar stage during the AP. For this reason, a small rate-dependent change in IK amplitude may have significant effects during late repolarization, when IK is the dominant repolarizing current.
To better ascertain the relative importance of IK and ICa,L in AP rate adaptation, we use a simulation protocol where the rate-induced changes in a specific current are identified and implemented individually to determine its specific contributions to AP rate dependence. We begin with a simulation of pacing at 1,000 ms that is interrupted just before the onset of a stimulus. Before continuation of the simulation and application of the scheduled stimulus, the values of the gating variables for the current under study are substituted with their values just before a stimulus during pacing at 300 ms. When the simulation is continued and the scheduled stimulus is applied, the resulting AP displays the rate-adaptation properties associated with the current under study, the state of which has been reset to its value during rapid pacing. We have carried out this procedure to examine the rate-dependent effect of ICa,L (via the d and f gating variables), IKr (via the xr gating variable), IKs (via the xs gating variable), and [Ca2+]i (via [Ca2+]i, [Ca2+]up, [Ca2+]rel, and the u, v, and w gating variables) on the AP.
Figure 17 displays the APs after 12 s of pacing at 1,000 and 300 ms, along with the APs arising from isolating the rate-adaptation effects of ICa,L, IK (IKr + IKs), and ICa,L + IK. We note that when the effect of either IKr or IKs alone was examined, the observed change in APD90 was ~50% of the total reduction seen with both currents combined (IK in Fig. 17). Also, the effect on APD90 of [Ca2+]i and ICa,L combined was similar to that of ICa,L alone, which is why the results for [Ca2+]i were not included in Fig. 17. The limited role of [Ca2+]i at fast pacing rates may reflect the opposing effects of a higher resting [Ca2+]i and a lower Ca2+ transient amplitude on ICa,L inactivation. Our first observation is that the effect of the rate-dependent decrease in available ICa,L alone is to lower the plateau potential and to significantly accelerate early repolarization. The lower plateau level reduces IK activation, slows terminal repolarization, and results in no net change in total APD. Second, we observe that the effect of the rate-dependent increase in available IK alone is to lower the plateau potential and to compensate for the effect of the reduced plateau level on IK activation, leaving the rate of terminal repolarization unchanged. The effect of IK rate adaptation alone explains less than one-half of the total rate-dependent reduction in APD90. Third, the effect of ICa,L and IK combined is synergistic, lowering the plateau potential and accelerating late repolarization relative to the effect of ICa,L alone. Changes in these two currents together are sufficient to account for the total rate-dependent AP shortening observed on reducing the pacing period from 1,000 to 300 ms. Hence, we conclude that ICa,L and IK act together to produce the observed rate-dependent AP shortening.
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ICa,L and Rate Dependence
Li and Nattel (35) showed that rate dependence can be abolished in isolated human atrial myocytes by blocking ICa,L. To compare these experimental data with the behavior of the model, we evaluated the effects of a strong decrease in L-type Ca2+ channel conductance on model AP rate dependence. Figure 18A shows model APs after 12 s of pacing with stimulation at 5,000 and 300 ms with a 90% reduction in ICa,L conductance. Figure 18B shows corresponding experimental results from Li and Nattel in which nifedipine was used to block ICa,L. In the model and experiments, block of ICa,L abolishes AP rate dependence. Although we have shown that ICa,L and IK play a role in rate adaptation, it appears that when ICa,L is strongly inhibited, as in Fig. 18, the plateau level is lowered to the point where IK activation is greatly reduced and can no longer contribute to rate adaptation.
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Block of INaCa and Role in APD
Recently, Benardeau et al. (4) investigated the role of Na+/Ca2+ exchange in AP morphology and APD. In particular, they examined the effect of INaCa block by Li+ on AP morphology. Their results revealed a shortening of APD and transient hyperpolarization after the AP in the presence of Li+. Figure 19 shows control and INaCa-blocked (90% decrease in maximum exchanger activity compared with control) model APs with stimulation at 1 s. Model APs display both of the changes observed in experimental preparations (see Fig. 7A in Ref. 4), i.e., AP shortening and hyperpolarization. Inspection of the current records shows that the decrease in APD may be related to two mechanisms: 1) an increase in Ca2+-dependent ICa,L inactivation caused by an increase in resting [Ca2+]i and Ca2+ transient amplitude and 2) a reduction in depolarizing exchanger current during the late phase of the AP. The observed membrane hyperpolarization is due to a reduced inward exchanger current at rest, causing a negative shift of the resting membrane potential.
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