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Article

Synergy between Membrane Currents Prevents Severe Bradycardia in Mouse Sinoatrial Node Tissue

by
Limor Arbel Ganon
,
Moran Davoodi
,
Alexandra Alexandrovich
and
Yael Yaniv
*
Laboratory of Bioelectric and Bioenergetic Systems, Faculty of Biomedical Engineering, Technion-IIT, Haifa 3200003, Israel
*
Author to whom correspondence should be addressed.
Int. J. Mol. Sci. 2023, 24(6), 5786; https://doi.org/10.3390/ijms24065786
Submission received: 16 January 2023 / Revised: 4 March 2023 / Accepted: 13 March 2023 / Published: 17 March 2023
(This article belongs to the Special Issue Calcium Handling 2.0)
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Abstract

:
Bradycardia is initiated by the sinoatrial node (SAN), which is regulated by a coupled-clock system. Due to the clock coupling, reduction in the ‘funny’ current (If), which affects SAN automaticity, can be compensated, thus preventing severe bradycardia. We hypothesize that this fail-safe system is an inherent feature of SAN pacemaker cells and is driven by synergy between If and other ion channels. This work aimed to characterize the connection between membrane currents and their underlying mechanisms in SAN cells. SAN tissues were isolated from C57BL mice and Ca2+ signaling was measured in pacemaker cells within them. A computational model of SAN cells was used to understand the interactions between cell components. Beat interval (BI) was prolonged by 54 ± 18% (N = 16) and 30 ± 9% (N = 21) in response to If blockade, by ivabradine, or sodium current (INa) blockade, by tetrodotoxin, respectively. Combined drug application had a synergistic effect, manifested by a BI prolonged by 143 ± 25% (N = 18). A prolongation in the local Ca2+ release period, which reports on the level of crosstalk within the coupled-clock system, was measured and correlated with the prolongation in BI. The computational model predicted that INa increases in response to If blockade and that this connection is mediated by changes in T and L-type Ca2+ channels.

1. Introduction

The sinoatrial node (SAN) maintains the heart rate at rest in a range that allows for an instantaneous increase when a person performs work or generates a fight or flight response. While low heart rate at rest, also termed sinus bradycardia, is not a risk factor per se, when induced by specific drugs, it is associated with incident cardiovascular diseases and elevated mortality [1]. Severe symptomatic bradycardia can lead to atrial fibrillation and a decrease in oxygen supply [2]. The body may engage a “fail-safe” mechanism to prevent such conditions.
SAN function is maintained by a coupled-clock system that consists of membrane ion channels, exchangers, and pumps (M clock), and an internal Ca2+ clock, namely, the sarcoplasmic reticulum (SR). Both clocks communicate via Ca2+ and Ca2+-activated adenylyl cyclase (AC)-cAMP-PKA signaling, with local Ca2+ releases (LCRs) from the SR indicating the degree of coupling [3]. Due to the connectivity of the clocks, a change in a single membrane component can affect the others, and impair or upregulate clock function [4]. Thus, if one component in the coupled-clock function fails, another component can compensate for the reduced pacemaker function.
Here, we focus on I pacemaker (“funny”) current (If), which is one of the elements that contribute to the generation of spontaneous diastolic depolarization and an important stabilizer of heart rhythm [5]. Reduction in If was previously shown in heart failure conditions [6,7], aging [8], pulmonary hypertension [9], diabetes [10], and atrial fibrillation [11]. However, in such clinical scenarios, the SAN is still beating, and most patients show no signs of severe bradycardia. This may be ascribable to If, which, when in synergy with other clock components, may upregulate their function and prevent severe bradycardia.
We hypothesize that SAN pacemaker cells bear an inherent fail-safe mechanism driven by synergy between ion channels and If, and that this synergy is mediated by a coupled-clock mechanism and specifically by Ca2+-dependent channels. To prove these hypotheses, we isolated SAN tissues from C57BL mice (Figure 1A) and used confocal microscopy to measure Ca2+ signaling in pacemaker cells within the tissue (Figure 1B,C). We applied ivabradine (IVA), which reduces If, alone or in combination with tetrodotoxin citrate (TTX), or tetramethrin (TMR), blockers of sodium current (INa) and T-type Ca2+ current (ICaT), respectively, which are two potential synergy components. A computational model of SAN cells (Figure 1D) was used to understand the internal interactions between cell components.
Here, we experimentally show synergy between If and INa. Our model predicted that synergy exists between If and INa and that this synergy is mediated by the ICaT and L-type Ca2+ current (ICaL). We also found that synergy between If and INa exists at the level of the LCR period (Figure 1C), and promotes the positive feedback between ICaL, SR Ca2+, and Na+-Ca2+ exchanger current (INCX) [12]. Taken together, our data show that a fail-safe mechanism is driven by a connection between ion channels and is mediated by membrane Ca2+-related mechanisms.

2. Results

2.1. ICaT and INa Are Upregulated When If Is Inhibited: Computational Evidence

If is one of the regulators of the spontaneous beating of the SAN. Inhibition of If by pharmacological drugs or by genetic inhibition of HCN4 does not stop the spontaneous beating. To explore whether a “fail-safe” mechanism is engaged to prevent severe bradycardia when If is reduced, we used our previously published computational model of the single mouse SAN cell [13] (Figure 1D). Inhibition of If was simulated by reducing the If maximal conductance coefficient (gIf, see supplements) to 10% of its basal value (Figure 1E). Figure 2 shows the effect of If inhibition on main coupled-clock mechanisms. The model predicted that a reduction in gIf prolonged the beat interval (BI), calculated as the time interval between two peaks of action potential (AP), and also associated it with increased amplitudes of ICaT (+114%), INa (+48%), and Ca2+ flux through the ryanodine receptors (RyR (+32%)), INCX (+18%), ICaL (+10%), and other transmembrane currents and of Ca2+ cycling parameters (<10%). The increase in ICaT and INa in response to If inhibition implies a connection between these currents, engaged in a potential mechanism to restrain the prolongation of BI.

2.2. There Is No Synergy between If and ICaT

The model suggested that there is synergy between If and ICaT in single pacemaker cells. As shown before [14], pacemaker cells within the SAN demonstrate significant heterogeneity in the densities of If, ICaL, potassium currents (IK), and other currents, which might be dictated by their localization in different pacemaker cells clusters. Thus, we chose to use pacemaker tissues that contain different clusters to assess the possibility of an association between the channels. IVA (3 µM) and TMR (10 µM) were applied to intact mouse SAN tissue to block If and ICaT, respectively, and their individual and combined effects on the spontaneous BI were measured. Previous works demonstrated that 3 µM IVA blocks the HCN4 channel [15] without affecting the T-type, L-type, delayed outward potassium current densities [16], or SR Ca2+ content, while 10 µM IVA was shown to affect the T or L-type channels [16]. TMR at 0.1 µM was shown to block ICaT in single rabbit SAN cells, while 50 µM TMR abolished both ICaT and ICaL [17]. Yet, as we detected no change in the BI or LCR period of mouse SAN cells residing in the SAN tissue after administration of 0.1 µM TMR (N = 6, Figure S1), the current experiments were performed with 10 µM TMR.
Figure 3A shows representative time courses of Ca2+ signaling before (control) and after the administration of IVA and following the administration of IVA+TMR. Figure 3B shows representative time courses of Ca2+ signaling before (control) and after the administration of TMR and following the administration of TMR+IVA. Note that the same cell was traced before and after each treatment (paired measurements). IVA increased the BI by 49 ± 20%, compared to its control, while TMR increased the BI by 28 ± 5% compared to its control. Administration of both IVA and TMR increased the BI by 64 ± 13% (Figure 3C). Beats per minute (BPM, calculated as 60,000/BI per cell) decreased by 24 ± 7% with IVA, 20 ± 3% with TMR, and 34 ± 4% with both IVA and TMR, compared to the control. Namely, there was no additive effect upon application of both blockers together.
BI variability (BIV), estimated by the average standard deviation of the BIs in each cell, was then calculated to determine whether each blocker and blocker combination affect BI periodicity as well. Compared to the control, BIV was increased by 105 ± 47% with IVA, by 69 ± 29% with TMR, and by 462 ± 134% with both IVA and TMR (Figure 3D). Namely, there was an additive effect of the two blockers on BIV.
To determine the effect of each blocker and blocker combination on Ca2+ transient and LCR properties, global and local Ca2+ signaling parameters were measured before and after each drug treatment. Ca2+ transient amplitude (estimated by the fluorescence ratio [F/F0]) and 50% Ca2+ transient relaxation time were not affected (Figure 3E,F) by IVA, TMR, or by IVA+TMR. The LCR period, defined as the time from the previous Ca2+ transient peak to the LCR onset (as illustrated in Figure 1C), was prolonged only upon administration of IVA (88 ± 42%) and IVA+TMR (79 ± 21%), but not upon treatment with TMR alone (Figure 3G).

2.3. If and INa Blockers Have a Synergistic Effect on BI

To determine whether synergy exists between If and INa, 3 µM IVA and/or 5 µM TTX were applied to pacemaker cells within intact mouse SAN tissue and the spontaneous BI was measured. Figure 4A shows representative time courses of Ca2+ signaling before (control) and after the administration of IVA and following the additional administration of TTX. Figure 4B shows representative time courses of Ca2+ signaling before (control) and after the administration of TTX and following the additional administration of IVA. Compared to untreated cells, IVA prolonged the BI by 54 ± 18% (Figure 4C), while TTX prolonged the BI by 30 ± 9%. In contrast to TMR, a synergistic effect was observed upon administration of both IVA and TTX, which prolonged the BI by 143 ± 25%. BPM decreased by 25 ± 6% with IVA, 18 ± 4% with TTX, and 50 ± 6% with both IVA and TTX, compared to the control. No difference was found between the change in BI in cells treated with TTX following IVA (IVA+TTX) versus cells first treated with IVA and then with TTX (TTX+IVA). Taken together, the combined treatment enhanced the mono-drug blockade, suggesting that INa can play a role in the fail-safe mechanism when If is reduced.
Ijms 24 05786 g003 550
Figure 3. The effect of tetramethrin (TMR) on pacemaker cells residing in the SAN tissue. (A) Representative time course of Ca2+ transients in pacemaker cells under basal conditions, and after administration of 3 µM ivabradine (IVA) or following additional administration 10 µM TMR (IVA+TMR). (B) Representative time course of Ca2+ transients in pacemaker cells under basal conditions, after administration of 10 µM TMR (TMR), and following additional administration of 3 µM IVA (IVA+TMR). (C) Percent change from control in the beat interval (BI), (D) BI variability, (E) Ca2+ transient amplitude, (F) 50% Ca2+ transient relaxation time, and (G) local Ca2+ release (LCR) period in control pacemaker cells (white) and after administration of IVA (yellow, N = 12), TMR (green, N = 16), and both IVA and TMR (purple, N = 16).
Figure 3. The effect of tetramethrin (TMR) on pacemaker cells residing in the SAN tissue. (A) Representative time course of Ca2+ transients in pacemaker cells under basal conditions, and after administration of 3 µM ivabradine (IVA) or following additional administration 10 µM TMR (IVA+TMR). (B) Representative time course of Ca2+ transients in pacemaker cells under basal conditions, after administration of 10 µM TMR (TMR), and following additional administration of 3 µM IVA (IVA+TMR). (C) Percent change from control in the beat interval (BI), (D) BI variability, (E) Ca2+ transient amplitude, (F) 50% Ca2+ transient relaxation time, and (G) local Ca2+ release (LCR) period in control pacemaker cells (white) and after administration of IVA (yellow, N = 12), TMR (green, N = 16), and both IVA and TMR (purple, N = 16).
Ijms 24 05786 g003
BIV increased by 106 ± 40% with IVA, by 176 ± 83% with TTX, and by 100 ± 36% with the IVA and TTX combination (Figure 4D). Namely, the combined drug treatment did not further enhance the BIV increase obtained with each blocker separately.
The Ca2+ transient amplitudes did not change after the administration of IVA or IVA+TTX. In contrast, TTX alone decreased the Ca2+ transient amplitude by 13 ± 3% compared to the control (Figure 4E). In addition, TTX treatment led to a 5 ± 2% increase in the 50% Ca2+ transient relaxation time (Figure 4F), while IVA and IVA+TTX had no effect.
The LCR period was prolonged by 81 ± 31% on application of IVA, by 49 ± 18% with TTX, and by 164 ± 46% with both IVA and TTX (Figure 4G). Thus, the nonlinear change in BI in response to each blocker compared to their combination was also reflected in a nonlinear change in the LCR period.

2.4. The Molecular Mechanisms That Mediate the Synergy between If and INa: Computational Evidence

The nonlinear effect of If and INa blockers on BI and Ca2+ dynamics is likely due to feedback in the pacemaker cell mediated by still unknown mechanisms. Because specific blockers do not exist for each ion channel type, and because the clock mechanisms are coupled, it is experimentally impossible to test the underlying mechanisms. Therefore, we used our model to predict the internal mechanisms mediating the crosstalk between If and INa that was found experimentally.
The TTX effect was simulated by reducing the channel maximal conductance coefficients (see supplements and Figure 1E); gNa1.1, the TTX-resistant maximal channel conductance coefficient, was reduced to 80% of its basal value and gNa1.5, the TTX-sensitive maximal channel conductance coefficient, was reduced to 50% of its basal value. Lower values led to model instability. Figure 5A shows a simulation of the main coupled-clock mechanisms under basal conditions, and on application of IVA and/or TTX. The model predicted a BI increase of 32% with If inhibition, 31% with INa inhibition, and 70% with If and INa inhibition together (Figure 5A, internal figure), supporting the nonlinear commutative effect of IVA and TTX shown experimentally. In parallel, INa inhibition significantly decreased the amplitude of ICaT (−74.5%), Ca2+ flux through the RyR (−48%), and INCX (−37%), together with a mild decrease in the amplitudes of If (−17%), ICaL (−17%) and intracellular Ca2+ (−16%) (Figure 5A). Taken together, a reduction in If leads to a major increase in INa, while a reduction in INa does not increase If.
To determine whether an increase in INa is key to prevention of severe bradycardia, we simulated a ‘current clamp’ by fixing INa to its basal state, while If was blocked in parallel. In this way, the increase of INa is blocked, and its effect on the BI can be evaluated. The model predicted that If inhibition with INa clamped causes a longer BI than If inhibition with varying INa, which indicates that the increase in INa in response to If inhibition restrains the increase in BI at the cellular level (Figure 5B).
We then explored whether the synergy between If and INa also exists if If is increased. Figure S2 shows that INa decreased in response to a ten-fold increase in gIf. Thus, the negative feedback between If and INa serves as a fail-safe mechanism for both bradycardia and tachycardia.
To uncover the internal mechanisms that mediate between the reduction in If and the increase in INa, we tested the individual effects of various cellular parameters by ‘clamping’ each parameter to its basal state, while blocking If in parallel. Only fixation of both ICaT and ICaL restrained the indirect increase in INa amplitude caused by If inhibition, by bringing the INa amplitude closer to its basal value and decreasing the BI (Figure 6). Fixation of ICaT (Figure S3) or ICaL (Figure S4) led to a smaller decrease in INa amplitude, while fixation of INCX (Figure S5) or RyR flux (Figure S6) did not reduce the indirect increase in INa caused by If inhibition. Taken together, ICaT and ICaL primarily mediate the increase in INa in response to a decrease in If.

3. Discussion

The present study investigated the synergy between ion channels in pacemaker cells within mouse SAN tissue. The experimental measurements showed that the change in the spontaneous BI when both If and INa were blocked was higher than the sum of changes induced by each blocker individually (synergistic effect). Together with the model prediction that INa increases in response to If blockade, these results support the first hypothesis that a fail-safe mechanism is an inherent feature of SAN pacemaker cells and is driven by feedback among ion channels. The experimental effect on the LCR period when both If and INa were blocked compared to their individual effects and the model prediction that the feedback between If and INa is eliminated when ICaT and ICaL are clamped support the second hypothesis that this effect is mediated by coupled-clock mechanisms, specifically ion channels that are affected by intercellular Ca2+ dynamics.
Our combined experimental measurements and numerical model simulations suggested that synergy exists between If and INa. The experiments showed that when both If and INa were blocked, the effect on the spontaneous BI was higher than the summed effect of the two blockers. The model showed a similar phenomenon when If and INa were inhibited by reducing their maximal conductance coefficients. It predicted that when If is reduced, INa increases. An increase in INa eliminates further deceleration of diastolic depolarization and prevents further bradycardia. However, when INa was reduced, the model predicted only a small change in If. Thus, the negative feedback between If and INa is unidirectional. Furthermore, the model predicted that an increase in If will reduce INa. Thus, the predicted synergy between If and INa also protects against tachycardia. Note that at the tested IVA concentration, there is a negligible direct effect on INa [18]. Although If plays an important role in pacemaking in the SAN, spontaneous beating is still maintained upon its inhibition with even higher (and non-specific) IVA concentrations [15,16] or elimination by genetic manipulation of HCN4 [11]. The synergy between If and INa may also act here as a “fail-safe” mechanism.
Our second main finding was that Ca2+-activated channels mediate the synergy between If and INa. Our experiments showed that the effect of simultaneous If and INa blockage on the LCR period was higher than the summed effect of each blocker. The LCR period is linked to changes in the BI in response to numerous perturbations that affect both the M and Ca2+ clocks (i.e., a decrease in cAMP/PKA levels or β adrenergic receptor stimulation) [19] and is, thus, considered a readout of the degree of clock coupling [4]. An increase in the LCR period prolongs the diastolic depolarization through delayed activation of ICaL and INCX (positive feedback between ICaL and INCX [12]) and through direct activation of BK channels [20], which consequently lead to a longer BI. Thus, the LCR period itself reports on the synergy. The model predicted that when ICaT and ICaL are clamped, the INa increase in response to a decrease in If is moderated and restrains further bradycardia. Clamping ICaT and ICaL to their basal values blocks the positive feedback between ICaL-SR-INCX. Our suggested theory of the synergy between If and INa is based on the regulation of pacemaker activity by ICaL and ICaT and their regulation of ICaL-SR-INCX feedback. The increase in ICaL and ICaT in response to decreased If maintains intracellular Ca2+ levels. This, in turn, maintains Ca2+ release from the SR (RyR flux), preserves the LCR period, and via maintenance of INCX, accelerates the diastolic depolarization, which prevents further bradycardia. Note that clamping either INCX or RyR flux did not prevent the feedback between If and INa. Our experiments showed that removal of cytosolic Ca2+, measured as the Ca2+ transient relaxation time (T90), did not significantly change in response to IVA or IVA+TTX, suggesting that the SERCA pump function does not directly control the feedback between If and INa either. Clamping INa (Figure 5) reduced ICaT, ICaL, INCX, and RyR flux. Reduction in INa compared to its higher unclamped value prolongs BI, and thus, affects the diastolic depolarization voltage and activation of ICaT and ICaL. These reductions eliminate the positive feedback between ICaL-SR-INCX, and thus, lead to reduced INCX and RyR flux. Considering both the experimental results and the numerical model simulation, it can be concluded that the coupled-clock system per se is the fail-safe mechanism that prevents bradycardia in response to a decrease in If. Note that even under normal conditions, If is not the only regulator of SAN automaticity. There are several other currents, including ICa,T, ICa,L, and INCX, that contribute to spontaneous diastolic depolarization [21]. Thus, other coupled-clock mechanisms can act as fail-safe mechanisms even when in some, cell If is close to zero [14].
The model predicted that in parallel to the increase in INa, there was an increase in ICaT, INCX, and RyR flux in response to If inhibition. If inhibition leads to prolonged BI through increases in ICaT and ICaL, which lead to increased outflux currents and subsequently to increased INCX. Prolongation of BI allows the SR to slowly refill, resulting in an increase in Ca2+ available to activate ICaT and INCX. Note, however, that it also allows for less Ca2+ release per time interval. Ion channels are also coupled through changes in voltage and other internal signals, and positive feedback has also been shown to exist between INCX and ICaL [12]. Note, however, that this feedback was bidirectional and was measured if one of the currents increased or decreased. A positive feedback mechanism in cardiomyocytes was also described between the SK channel and ICaL [22] and together with RyR [23].
The model predicted that ICaT increases in response to a reduction in If. However, experimentally, when If was blocked together with ICaT, the effects on the spontaneous BI and LCR period were similar to the summed effect of each blocker. Thus, no synergy exists between If and ICaT. A decrease in If prolongs the BI and deaccelerates the diastolic depolarization. A longer diastolic depolarization phase allows for the activation of more T-type Ca2+ channels, increasing their amplitude. It has been suggested that ICaT stabilizes the rate of depolarization when the maximal diastolic potential is more positive [17]. Such conditions were achieved here when IVA was applied. Note that TMR by itself prolonged BI to a similar degree as TTX. However, compared to TTX, it does not have synergistic effect with IVA. Thus, the prolongation of BI by one drug does not necessarily lead to a non-linear effect on BI when combined with another drug.
The BI of SAN is not constant and has some variability, which, itself, is considered an important index that correlates with various heart diseases [24]. Although the absolute change in the average spontaneous BI when both If and INa were blocked was different from the sum of changes induced by each blocker individually, the variability was similar between IVA, TTX, and IVA+TTX treatments. Because there is no linear relationship between BI and BIV [24,25,26], it is possible that cell perturbations differentially affect BI and its variability. In contrast, blockade of both If and ICaT resulted in a change in BI variability significantly greater than the sum of the changes caused by each of the respective blockers individually. It was previously shown that T-type channels contribute to setting the SAN firing rate [27], and that high variability exists upon target inactivation of T-type Cav3.1 channels [28]. Thus, T-type and funny channels may be important stabilizers of heart rhythm and may have a synergistic impact on variability increase when both are disabled. Taken together, it is likely that both If and ICaT play a significant role in pacemaker synchronization.
Voltage clamping is the conventional method used to study ion channels [29]. This method is useful for measurement of the direct effect of drugs on specific channel populations. However, because ion channels are coupled through changes in voltage and other internal signals, this method is not suitable for measuring the dynamic feedback between the cell parameters.
SAN bradycardia is often associated with a shift in the leading pacemaker, from the superior SAN inferiorly towards the subsidiary atrial pacemakers, including the atrioventricular node [30]. In this work, a cell in the central SAN area was imaged (see Figure 1A), and the same cell was traced before and after drug perturbation, thereby circumventing the impact of a potential shift in the leading pacemaker on our conclusions.
Two components of INa have been reported in the mouse SAN: TTX-resistant and TTX-sensitive Na+ channels. It was recently shown [31] that TTX-sensitive channels may contribute to SAN pacing, while TTX-resistant INa is likely to be responsible for AP propagation from the SAN to the atrium. Note that we did not use cells in the periphery and only cells that responded to TTX were used. Moreover, at transmembrane potentials reported for mouse SAN cells [32], TTX-resistant Na+ channels are expected to be inactive and non-contributing to pacemaker activity.
This work focused on inhibition of HCN4 by IVA. However, 20% of HCN channels in the mouse are HCN2 [33]. However, specific inhibitors of HCN2 have not been tested on SAN cells yet and, thus, its potential interaction with other channels cannot be tested here.

Limitations

Aside from its inhibitory effect on voltage-dependent sodium channels, TTX has also been shown to inhibit Ca2+ currents [34]. However, this inhibition requires TTX doses higher than those used in this work. If it did inhibit Ca2+ channels, then the magnitude of the synergy between If and INa would be expected to be higher since the INa effect is mediated by increased activity of Ca2+ channels.
High doses of TMR have been found to reduce ICaL together with ICaT [17]. While high TMR doses were not applied here, some nonspecific drug effects may have occurred.
Differences in the values of global parameters in the model compared to the experiments may have arisen due to use of SAN tissue in the experiments versus single SAN cells in the model. They also may be ascribable to the technical limitations of the model to generate extremely short or long BIs, and to the lack of certain cell mechanisms, such as metabolic pathways, bioenergetics, and BIV, in the models. Yet, the experimental and computational trends were similar.
In this work, BI was calculated from Ca2+ measurements of SAN tissue that was treated with fluo-4. It is known that when compared to patch or external electrodes, this technique yields prolonged BI in SAN tissue and cells. Yet, our BIs were in the range of previous publications of mouse SAN tissue measurements [6,35,36,37]. Others have published shorter BIs [38,39], but based on their illustration, the tissue was stretched, which could shorten the BI [40]. Moreover, their tissue had multiple rhythms while we only used tissues with synchronically beating cells. Note that since blebbistatin or any other drug that eliminates contraction was not used, we were able to clearly see the spontaneously beating area and to determine if there was more than one rate of the pacemaker (multiple sites).
Note that INa inhibition may also suppress SAN-to-atrium propagation. However, this suppression is not affected by If. The experiments showed that when both If and INa were blocked, the effect on the spontaneous BI was higher than the summed effect of each blocker. Thus, synergy must exist between the currents that are involved in SAN-to-atrium propagation.
Because Na1.5 is TTX-resistant [41], a higher concentration of TTX is needed to block these channels. However, 10 µM TTX completely stopped the SAN electrical activity in our experiments.
Pacemaker shifts can occur with changes in BI [42]. However, we found no movement of the cell before and after drug perturbation and the same cell was traced before and after treatment. Moreover, we did not use blebbistatin or any other drug that eliminate contraction, which enabled us to clearly see the pacemaker contraction. Note that TMR by itself prolongs BI to a similar degree as TTX. When TMR was applied together with IVA, the effect on the spontaneous BI and LCR period was similar to the summed effect of each blocker (IVA or TMR). Thus, the prolongation of BI by one drug does not necessarily lead to a pacemaker shift that leads to a non-linear effect on BI when combined with another drug.

4. Materials and Methods

4.1. Mouse SAN Isolation

Adult (12–14 weeks, 25–30 g) male C57BL mice were anesthetized with sodium pentobarbital (50 mg/kg, intraperitoneal) diluted with 5% heparin. The hearts were quickly removed and placed in 37 °C Tyrode solution (NaCl 140 mmol/L, MgCl2 1 mmol/L, KCl 5.4 mmol/L, CaCl2 1.8 mmol/L, HEPES 5 mmol/L, and glucose 5 mmol/L, pH 7.4, titrated with NaOH). The SAN tissues were isolated from the intact hearts as previously described [37]. Briefly, the SAN and the surrounding atrial tissue were dissected and pinned down in custom-made silicone-covered optical chambers, bathed in Tyrode solution (Figure 1A).

4.2. SAN Confocal Ca2+ Imaging

To measure Ca2+ signals, intact SAN preparations were loaded with fluo-4-AM (ThermoFisher, 30 μmol/L) over 1 h, at 37 °C, on a shaker set to 60 RPM. The tissues were washed twice with Tyrode solution before imaging. Ca2+ fluorescence was imaged using an LSM880 confocal laser scanning microscope (Zeiss) with a 40×/1.2 N.A. water immersion lens (Figure 1B). Baseline recordings were performed after 30 min rest at 37 °C. Tissues were excited with a 488 nm argon laser and emission was collected with a low-pass 505 nm filter. Images were acquired in line scan mode (1.22 ms per scan; pixel size, 0.01 µm) along the pacemaker cells. The same cell was imaged before (baseline) and after drug perturbation(s). Each recording lasted at least 3 s.

4.3. Ca2+ Analysis

Ca2+ signaling was analyzed using a modified version of the software “Sparkalyzer” [43]. The fluorescence signal (F) was normalized by the minimal value between beats (F0). Ca2+ transients were semi-automatically detected and Ca2+ sparks were manually marked. BI was calculated as the average time between Ca2+ transient peaks, and the BIV was calculated as its standard deviation. The Ca2+ transient amplitude, Ca2+ transient 50% relaxation time, and LCR period were automatically calculated by the software as described before (Figure 1C) [43].

4.4. Drugs

If was blocked with 3 μmol/L IVA (Toronto Research Chemicals, North York, ON, Canada). INa was blocked with 5 μmol/L TTX (Alomone Labs, Jerusalem, Israel). ICaT was blocked with 10 μmol/L TMR (Sigma-Aldrich, Saint Louis, MO, USA). All drugs were initially dissolved in dimethyl sulfoxide (DMSO). Images were recorded at least 5 min after TTX or TMR application, and at least 15 min after IVA application.

4.5. Statistics

Experimental results are presented as mean ± SEM. Statistical comparisons between baseline and post-treatment were performed with one-way ANOVA and paired t-tests. Differences were considered statistically significant at p < 0.05. In each experiment, N refers to the number of SAN preparations.

4.6. Computational Model

To investigate the internal dynamics of SAN cells treated with different blockers, we used our previously published computational model of the mouse SAN cell [13], which itself based on previous publications [5,44,45,46,47,48,49,50,51,52]. The model contains 43 state variables and differential equations describing the dynamics of cell membrane potential, ion currents, Ca2+ cycling, and post-translational modifications during an AP (Figure 1D). The model initial conditions (Table S1) and constants (Table S2) were based on the experimental results. The IVA effect was simulated by reducing the If maximal conductance coefficient, gIf, to 10% of its value (Figure 1E). The TTX effect was simulated by reducing gNa11, the TTX-resistant channel maximal conductance coefficient, to 80% of its value and gNa15, the TTX-sensitive channel maximal conductance coefficient, to 50% of its value (Figure 1F). Current clamps were simulated by bringing the specific current to its basal state by an alternation of its maximum conductance coefficient. The software was run in MATLAB (The MathWorks, Inc., Natick, MA, USA). Numerical integration was performed using the MATLAB ode15s stiff solver, and the model simulations were run for 200 s to ensure that a steady state was reached. Computation was performed on an Intel(R) Core(TM) i7–4790 CPU @ 3.60 GHz machine with 8 GB of RAM.

Supplementary Materials

The following supporting information can be downloaded at: https://www.mdpi.com/article/10.3390/ijms24065786/s1.

Author Contributions

Y.Y. and L.A.G. conceived and designed the research, L.A.G. performed experiments and simulations and analyzed the data, M.D. and A.A. designed the analysis program, Y.Y. and L.A.G. drafted the manuscript, L.A.G. prepared the figures, L.A.G., M.D., A.A. and Y.Y. edited and revised the manuscript, and approved the final version. All authors have read and agreed to the published version of the manuscript.

Funding

The work was supported by ISF 330/19 (Y.Y.) and by the Technion Hiroshi Fujiwara Cyber Security Research Center and the Israel Cyber Directorate (Y.Y. and M.D.). The funders had no role in the study design, data collection or analysis, decision to publish, or preparation of the manuscript. The authors declare that no competing financial interests.

Institutional Review Board Statement

The animal study protocol was approved by the Animal Care and Use Committee of the Technion (Ethics number: IL-002-01-19).

Informed Consent Statement

Not applicable.

Data Availability Statement

The source code of the numerical model is available at: http://bioelectric-bioenergetic-lab.net.technion.ac.il, accessed on 12 March 2023.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Dharod, A.; Soliman, E.Z.; Dawood, F.; Chen, H.; Shea, S.; Nazarian, S.; Bertoni, A.G. Association of asymptomatic bradycardia with incident cardiovascular disease and mortality: The Multi-Ethnic Study of Atherosclerosis (MESA). JAMA Intern. Med. 2016, 176, 219–227. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  2. Wung, S.F. Bradyarrhythmias: Clinical presentation, diagnosis, and management. Crit. Care Nurs. Clin. N. Am. 2016, 28, 297–308. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  3. Yaniv, Y.; Lakatta, E.G.; Maltsev, V.A. From two competing oscillators to one coupled-clock pacemaker cell system. Front. Physiol. 2015, 6, 28. [Google Scholar] [CrossRef] [Green Version]
  4. Yaniv, Y.; Sirenko, S.; Ziman, B.D.; Spurgeon, H.A.; Maltsev, V.A.; Lakatta, E.G. New evidence for coupled clock regulation of the normal automaticity of sinoatrial nodal pacemaker cells: Bradycardic effects of ivabradine are linked to suppression of intracellular Ca2+ cycling. J. Mol. Cell. Cardiol. 2013, 62, 80–89. [Google Scholar] [CrossRef] [Green Version]
  5. Xue, J.B.; Val-Blasco, A.; Davoodi, M.; Gómez, S.; Yaniv, Y.; Benitah, J.P.; Gómez, A.M. Heart failure in mice induces a dysfunction of the sinus node associated with reduced CaMKII signaling. J. Gen. Physiol. 2022, 154, 243–262. [Google Scholar] [CrossRef] [PubMed]
  6. Verkerk, A.O.; Wilders, R.; Coronel, R.; Ravesloot, J.H.; Verheijck, E.E. Ionic remodeling of sinoatrial node cells by heart failure. Circulation 2003, 108, 760–766. [Google Scholar] [CrossRef] [Green Version]
  7. Huang, X.; Du, Y.; Zhang, J.; Ma, A.; Yang, P.; Huang, X.; Yang, P.; Du, Y.; Zhang, J.; Ma, A. Age-related down-regulation of HCN channels in rat sinoatrial node. Basic Res. Cardiol. 2007, 102, 429–435. [Google Scholar] [CrossRef]
  8. Yamanushi, T.T.; Yanni, J.; Dobrzynski, H.; Kabuto, H.; Boyett, M.R. Changes in ion channel expression in right-sided congestive heart failure. J. Mol. Cell. Cardiol. 2010, 48, 496–508. [Google Scholar]
  9. Zhang, Y.; Wang, Y.; Yanni, J.; Qureshi, M.A.; Logantha, S.J.R.J.; Kassab, S.; Boyett, M.R.; Gardiner, N.J.; Sun, H.; Howarth, F.C.; et al. Electrical conduction system remodeling in streptozotocin-induced diabetes mellitus rat heart. Front. Physiol. 2019, 10, 826. [Google Scholar] [CrossRef]
  10. Yung-Hsin, Y.; Burstein, B.; Qi, X.Y.; Sakabe, M.; Chartier, D.; Comtois, P.; Wang, Z.; Kuo, C.T.; Nattel, S. Funny current downregulation and sinus node dysfunction associated with atrial tachyarrhythmia. Circulation 2009, 119, 1576–1585. [Google Scholar] [CrossRef] [Green Version]
  11. Maltsev, V.A.; Lakatta, E.G. A novel quantitative explanation for the autonomic modulation of cardiac pacemaker cell automaticity via a dynamic system of sarcolemmal and intracellular proteins. Am. J. Physiol. Heart Circ. Physiol. 2010, 298, H2010–H2023. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  12. Lyashkov, A.E.; Beahr, J.; Lakatta, E.G.; Yaniv, Y.; Maltsev, V.A. Positive feedback mechanisms among local Ca releases, NCX, and I CaL ignite pacemaker action potentials. Biophys. J. 2018, 114, 1176–1189. [Google Scholar] [CrossRef] [PubMed]
  13. Arbel-Ganon, L.; Behar, J.A.; Gómez, A.M.; Yaniv, Y. Distinct mechanisms mediate pacemaker dysfunction associated with catecholaminergic polymorphic ventricular tachycardia mutations: Insights from computational modeling. J. Mol. Cell. Cardiol. 2020, 143, 85–95. [Google Scholar] [CrossRef] [PubMed]
  14. Monfredi, O.; Tsutsui, K.; Ziman, B.; Stern, M.D.; Lakatta, E.G.; Maltsev, V.A. Electrophysiological heterogeneity of pacemaker cells in the rabbit intercaval region, including the SA node: Insights from recording multiple ion currents in each cell. Am. J. Physiol. Heart Circ. Physiol. 2018, 314, H403–H414. [Google Scholar] [CrossRef]
  15. Yaniv, Y.; Maltsev, V.A.; Ziman, B.D.; Spurgeon, H.A.; Lakatta, E.G. The “Funny” Current (If) inhibition by Ivabradine at membrane potentials encompassing spontaneous depolarization in pacemaker cells. Molecules 2012, 17, 8241–8254. [Google Scholar] [CrossRef] [Green Version]
  16. Bois, P.; Bescond, J.; Renaudon, B.; Lenfant, J. Mode of action of bradycardic agent, S 16257, on ionic currents of rabbit sinoatrial node cells. Br. J. Pharmacol. 1996, 118, 1051–1057. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  17. Nobuhisa Hagiwara, B.; Irisawa, H.; Kameyama, M. Contribution of two types of calcium currents to the pacemaker potentials of rabbit sino-atrial node cells. J. Physiol. 1988, 395, 233–253. [Google Scholar] [CrossRef]
  18. Haechl, N.; Ebner, J.; Hilber, K.; Todt, H.; Koenig, X. Pharmacological profile of the bradycardic agent ivabradine on human cardiac ion channels. Cell Physiol. Biochem. 2019, 53, 36–48. [Google Scholar] [CrossRef] [Green Version]
  19. Vinogradova, T.M.; Bogdanov, K.Y.; Lakatta, E.G. Beta-adrenergic stimulation modulates ryanodine receptor Ca2+ release during diastolic depolarization to accelerate pacemaker activity in rabbit sinoatrial nodal cells. Circ. Res. 2002, 90, 73–79. [Google Scholar] [CrossRef] [Green Version]
  20. Haron-Khun, S.; Weisbrod, D.; Bueno, H.; Yadin, D.; Behar, J.; Peretz, A.; Binah, O.; Hochhauser, E.; Eldar, M.; Yaniv, Y.; et al. SK4 K+ channels are therapeutic targets for the treatment of cardiac arrhythmias. EMBO Mol. Med. 2017, 9, 415–429. [Google Scholar] [CrossRef]
  21. Lakatta, E.G.; Maltsev, V.A.; Vinogradova, T.M. A coupled SYSTEM of intracellular Ca2+ clocks and surface membrane voltage clocks controls the timekeeping mechanism of the heart’s pacemaker. Circ. Res. 2010, 106, 659–673. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  22. Lu, L.; Zhang, Q.; Timofeyev, V.; Zhang, Z.; Young, J.N.; Shin, H.S.; Knowlton, A.A.; Chiamvimonvat, N. Molecular coupling of a Ca2+-activated K+ channel to L-Type Ca2+ channels via Alpha-Actinin2. Circ. Res. 2007, 100, 112–120. [Google Scholar] [CrossRef] [Green Version]
  23. Kunzelmann, K.; Kongsuphol, P.; Chootip, K.; Toledo, C.; Martins, J.R.; Almaca, J.; Tian, Y.; Witzgall, R.; Ousingsawat, J.; Schreiber, R. Role of the Ca2+-activated Cl− channels bestrophin and anoctamin in epithelial cells. Biol. Chem. 2011, 392, 125–134. [Google Scholar] [CrossRef] [PubMed]
  24. Monfredi, O.; Lyashkov, A.E.; Johnsen, A.B.; Inada, S.; Schneider, H.; Wang, R.; Nirmalan, M.; Wisloff, U.; Maltsev, V.A.; Lakatta, E.G.; et al. Biophysical characterization of the underappreciated and important relationship between heart rate variability and heart rate. Hypertension 2014, 64, 1334–1343. [Google Scholar] [CrossRef] [Green Version]
  25. Rocchetti, M.; Malfatto, G.; Lombardi, F.; Zaza, A. Role of the input/output relation of sinoatrial myocytes in cholinergic modulation of heart rate variability. J. Cardiovasc. Electrophysiol. 2000, 11, 522–530. [Google Scholar] [CrossRef] [PubMed]
  26. Yaniv, Y.; Lyashkov, A.E.; Sirenko, S.; Okamoto, Y.; Guiriba, T.-R.R.; Ziman, B.D.; Morrell, C.H.; Lakatta, E.G. Stochasticity intrinsic to coupled-clock mechanisms underlies beat-to-beat variability of spontaneous action potential firing in sinoatrial node pacemaker cells. J. Mol. Cell. Cardiol. 2014, 77, 1–10. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  27. Torrente, A.G.; Mesirca, P.; Bidaud, I.; Mangoni, M.E. Channelopathies of voltage-gated L-Type Cav1.3/A1D and T-Type Cav3.1/A1G Ca2+ channels in dysfunction of heart automaticity. Pflug. Arch. Eur. J. Physiol. 2020, 472, 817–830. [Google Scholar] [CrossRef] [PubMed]
  28. Mesirca, P.; Torrente, A.G.; Mangoni, M.E. T-type channels in the sino-atrial and atrioventricular pacemaker mechanism. Pflug. Arch. Eur. J. Physiol. 2014, 466, 791–799. [Google Scholar] [CrossRef]
  29. Neher, E.; Sakmann, B.; Steinbach, J.H. The extracellular patch clamp: A method for resolving currents through individual open channels in biological membranes. Pflug. Arch. 1978, 375, 219–228. [Google Scholar] [CrossRef]
  30. Boyett, M.R.; Honjo, H.; Kodama, I. The sinoatrial node, a heterogeneous pacemaker structure. Cardiovasc. Res. 2000, 47, 658–687. [Google Scholar] [CrossRef]
  31. Li, N.; Kalyanasundaram, A.; Hansen, B.J.; Artiga, E.J.; Sharma, R.; Abudulwahed, S.H.; Helfrich, K.M.; Rozenberg, G.; Wu, P.J.; Zakharkin, S.; et al. Impaired neuronal sodium channels cause intranodal conduction failure and reentrant arrhythmias in human sinoatrial node. Nat. Commun. 2020, 11, 512. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  32. Verheijck, E.E.; Van Kempen, M.J.A.; Veereschild, M.; Lurvink, J.; Jongsma, H.J.; Bouman, L.N. Electrophysiological features of the mouse sinoatrial node in relation to connexin distribution. Cardiovasc. Res. 2001, 52, 40–50. [Google Scholar] [CrossRef] [PubMed]
  33. Liu, J.; Dobrzynski, H.; Yanni, J.; Boyett, M.R.; Lei, M. Organisation of the mouse sinoatrial node: Structure and expression of HCN channels. Cardiovasc. Res. 2007, 73, 729–738. [Google Scholar] [CrossRef] [PubMed]
  34. Hegyi, B.; Komaromi, I.; Nanasi, P.P.; Szentandrassy, N. Selectivity problems with drugs acting on cardiac Na+ and Ca2+ channels. Curr. Med. Chem. 2013, 20, 2552–2571. [Google Scholar] [CrossRef] [PubMed]
  35. Wang, Y.Y.; Mesirca, P.; Marqués-Sulé, E.; Zahradnikova, A.; Villejoubert, O.; D’Ocon, P.; Ruiz, C.; Domingo, D.; Zorio, E.; Mangoni, M.E.; et al. RyR2R420Q catecholaminergic polymorphic ventricular tachycardia mutation induces bradycardia by disturbing the coupled clock pacemaker mechanism. JCI Insight 2017, 2, e91872. [Google Scholar] [CrossRef] [Green Version]
  36. Lyashkov, A.E.; Juhaszova, M.; Dobrzynski, H.; Vinogradova, T.M.; Maltsev, V.A.; Juhasz, O.; Spurgeon, H.A.; Sollott, S.J.; Lakatta, E.G. Calcium cycling protein density and functional importance to automaticity of isolated sinoatrial nodal cells are independent of cell size. Circ. Res. 2007, 100, 1723–1731. [Google Scholar] [CrossRef] [Green Version]
  37. Neco, P.; Torrente, A.G.; Mesirca, P.; Zorio, E.; Liu, N.; Priori, S.G.; Napolitano, C.; Richard, S.; Benitah, J.-P.P.; Mangoni, M.E.; et al. Paradoxical effect of increased diastolic Ca2+ release and decreased sinoatrial node activity in a mouse model of catecholaminergic polymorphic ventricular tachycardia. Circulation 2012, 126, 392–401. [Google Scholar] [CrossRef] [Green Version]
  38. Bychkov, R.; Juhaszova, M.; Tsutsui, K.; Coletta, C.; Stern, M.D.; Maltsev, V.A.; Lakatta, E.G. Synchronized cardiac impulses emerge from heterogeneous local calcium signals within and among cells of pacemaker tissue. JACC Clin. Electrophysiol. 2020, 6, 907–931. [Google Scholar] [CrossRef]
  39. Bychkov, R.; Juhaszova, M.; Calvo-Rubio Barrera, M.; Donald, L.A.H.; Coletta, C.; Shumaker, C.; Moorman, K.; Sirenko, S.T.; Maltsev, A.V.; Sollott, S.J.; et al. The heart’s pacemaker mimics brain cytoarchitecture and function: Novel interstitial cells expose complexity of the SAN. JACC Clin. Electrophysiol. 2022, 8, 1191–1215. [Google Scholar] [CrossRef]
  40. MacDonald, E.A.; Madl, J.; Greiner, J.; Ramadan, A.F.; Wells, S.M.; Torrente, A.G.; Kohl, P.; Rog-Zielinska, E.A.; Quinn, T.A. Sinoatrial node structure, mechanics, electrophysiology and the chronotropic response to stretch in rabbit and mouse. Front. Physiol. 2020, 11, 809. [Google Scholar] [CrossRef]
  41. Chong, H.L.; Ruben, P.C. Interaction between voltage-gated sodium channels and the neurotoxin, tetrodotoxin. Channels 2008, 2, 407–412. [Google Scholar] [CrossRef]
  42. Brennan, J.A.; Chen, Q.; Gams, A.; Dyavanapalli, J.; Mendelowitz, D.; Peng, W.; Efimov, I.R. Evidence of superior and inferior sinoatrial nodes in the mammalian heart. JACC Clin. Electrophysiol. 2020, 6, 1827–1840. [Google Scholar] [CrossRef]
  43. Davoodi, M.; Segal, S.; Kirschner Peretz, N.; Kamoun, D.; Yaniv, Y. Semi-automated program for analysis of local Ca2+ spark release with application for classification of heart cell type. Cell Calcium 2017, 64, 83–90. [Google Scholar] [CrossRef] [PubMed]
  44. Kharche, S.; Yu, J.; Lei, M.; Zhang, H. A Mathematical Model of Action Potentials of Mouse Sinoatrial Node Cells with Molecular Bases. AJP Hear. Circ. Physiol. 2011, 301, H945–H963. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  45. Kurata, Y.; Hisatome, I.; Imanishi, S.; Shibamoto, T. Dynamical Description of Sinoatrial Node Pacemaking: Improved Mathematical Model for Primary Pacemaker Cell. Am. J. Physiol. Heart Circ. Physiol. 2002, 283, H2074–H2101. [Google Scholar] [CrossRef] [PubMed]
  46. Saucerman, J.J.; Brunton, L.L.; Michailova, A.P.; McCulloch, A.D. Modeling β-Adrenergic Control of Cardiac Myocyte Contractility in Silico. J. Biol. Chem. 2003, 278, 47997–48003. [Google Scholar] [CrossRef] [Green Version]
  47. Demir, S.S.; Clark, J.W.; Giles, W.R. Parasympathetic Modulation of Sinoatrial Node Pacemaker Activity in Rabbit Heart: A Unifying Model. Am. J. Physiol. Heart Circ. Physiol. 1999, 276, H2221–H2244. [Google Scholar] [CrossRef]
  48. Luo, C.; Rudy, Y. A Dynamic Model of the Cardiac Ventricular Action Potential. I. Simulations of Ionic Currents and Concentration Changes. Circ. Res. 1994, 74, 1071–1096. [Google Scholar] [CrossRef] [Green Version]
  49. Yaniv, Y.; Sivan, R.; Landesberg, A. Analysis of Hystereses in Force Length and Force Calcium Relations. Am. J. Physiol. Heart Circ. Physiol. 2005, 288, H389–H399. [Google Scholar] [CrossRef] [Green Version]
  50. Catanzaro, J.N.; Nett, M.P.; Rota, M.; Vassalle, M. On the Mechanisms Underlying Diastolic Voltage Oscillations in the Sinoatrial Node. J. Electrocardiol. 2006, 39, 342. [Google Scholar] [CrossRef]
  51. Yaniv, Y.; Ganesan, A.; Yang, D.; Ziman, B.D.; Lyashkov, A.E.; Levchenko, A.; Zhang, J.; Lakatta, E.G. Real-Time Relationship between PKA Biochemical Signal Network Dynamics and Increased Action Potential Firing Rate in Heart Pacemaker Cells: Kinetics of PKA Activation in Heart Pacemaker Cells. J. Mol. Cell. Cardiol. 2015, 86, 168–178. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  52. Behar, J.; Yaniv, Y. Age-Related Pacemaker Deterioration Is Due to Impaired Intracellular and Membrane Mechanisms: Insights from Numerical Modeling. J. Gen. Physiol. 2017, 149, 935–949. [Google Scholar] [CrossRef] [PubMed] [Green Version]
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Figure 1. Experimental and computational signaling in mouse sinoatrial node (SAN). (A) Representative image of an isolated SAN preparation (red frame), surrounded by the right atrium (RA) and the left atrium (LA). (B) Representative confocal image of cells within the SAN tissue after fluo-4-am staining. (C) Representative line-scan confocal image of a spontaneously beating SAN cell (top) and its corresponding trace (below). Beat interval (BI, red line) is the time interval between two Ca2+ transient peaks. The local Ca2+ release (LCR) period (yellow line) is the time from the previous Ca2+ transient peak to the LCR onset. Moreover, 50% relaxation (blue line) is the time from the previous minimal Ca2+ transient to the 50% relaxation point of the current Ca2+ transient. (D) Scheme of SAN cell model parameters including membrane currents, ion concentrations, Ca2+ cycling, and drug perturbations. (E) Simulated “funny” current (If) in the basal state (black) and with If inhibition, to simulate the ivabradine (IVA) treatment effect (yellow). Simulated sodium current (INa) in the basal state (black) and with INa inhibition, to simulate the tetrodotoxin (TTX) treatment effect (red).
Figure 1. Experimental and computational signaling in mouse sinoatrial node (SAN). (A) Representative image of an isolated SAN preparation (red frame), surrounded by the right atrium (RA) and the left atrium (LA). (B) Representative confocal image of cells within the SAN tissue after fluo-4-am staining. (C) Representative line-scan confocal image of a spontaneously beating SAN cell (top) and its corresponding trace (below). Beat interval (BI, red line) is the time interval between two Ca2+ transient peaks. The local Ca2+ release (LCR) period (yellow line) is the time from the previous Ca2+ transient peak to the LCR onset. Moreover, 50% relaxation (blue line) is the time from the previous minimal Ca2+ transient to the 50% relaxation point of the current Ca2+ transient. (D) Scheme of SAN cell model parameters including membrane currents, ion concentrations, Ca2+ cycling, and drug perturbations. (E) Simulated “funny” current (If) in the basal state (black) and with If inhibition, to simulate the ivabradine (IVA) treatment effect (yellow). Simulated sodium current (INa) in the basal state (black) and with INa inhibition, to simulate the tetrodotoxin (TTX) treatment effect (red).
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Figure 2. The effect of ‘funny’ current (If) inhibition on major currents and Ca2+ cycling in a simulated mouse sinoatrial node (SAN) cell. The coupled-clock function of an SAN cell in the basal state (black), and in response to If inhibition (yellow). Top to bottom, left: Membrane voltage (Vm), If, Na+-Ca2+ exchanger current (INCX), L-type Ca2+ current (ICaL), and intracellular Ca2+ concentration (Cai). Top to bottom, right: Membrane voltage (Vm), sodium current (INa), T-type Ca2+ current (ICaT), and the flux of Ca2+ exiting the SR (RyR flux) and Ca2+ concentration in the junctional SR compartment (CajSR).
Figure 2. The effect of ‘funny’ current (If) inhibition on major currents and Ca2+ cycling in a simulated mouse sinoatrial node (SAN) cell. The coupled-clock function of an SAN cell in the basal state (black), and in response to If inhibition (yellow). Top to bottom, left: Membrane voltage (Vm), If, Na+-Ca2+ exchanger current (INCX), L-type Ca2+ current (ICaL), and intracellular Ca2+ concentration (Cai). Top to bottom, right: Membrane voltage (Vm), sodium current (INa), T-type Ca2+ current (ICaT), and the flux of Ca2+ exiting the SR (RyR flux) and Ca2+ concentration in the junctional SR compartment (CajSR).
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Figure 4. The effect of tetrodotoxin (TTX) on pacemaker cells residing in the sinoatrial node tissue. (A) Representative time course of Ca2+ transients in pacemaker cells under basal conditions, after administration of 3 µM ivabradine (IVA) only, and following additional administration of 5 µM TTX (IVA+TTX). (B) Representative time course of Ca2+ transients in pacemaker cells under basal conditions, after administration of 5 µM TTX only, and following additional administration of 3 µM IVA (IVA+TTX). (C) Percent change from control in the mean beat interval (BI), (D) BI variability, (E) Ca2+ transient amplitude, (F) 50% Ca2+ transient relaxation time, and (G) local calcium release (LCR) period in control cells (white) and after administration of IVA (yellow, N = 15), TTX (red, N = 20), and both IVA and TTX (blue, N = 17).
Figure 4. The effect of tetrodotoxin (TTX) on pacemaker cells residing in the sinoatrial node tissue. (A) Representative time course of Ca2+ transients in pacemaker cells under basal conditions, after administration of 3 µM ivabradine (IVA) only, and following additional administration of 5 µM TTX (IVA+TTX). (B) Representative time course of Ca2+ transients in pacemaker cells under basal conditions, after administration of 5 µM TTX only, and following additional administration of 3 µM IVA (IVA+TTX). (C) Percent change from control in the mean beat interval (BI), (D) BI variability, (E) Ca2+ transient amplitude, (F) 50% Ca2+ transient relaxation time, and (G) local calcium release (LCR) period in control cells (white) and after administration of IVA (yellow, N = 15), TTX (red, N = 20), and both IVA and TTX (blue, N = 17).
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Figure 5. The effect of sodium current (INa) on major currents and Ca2+ cycling in a simulated mouse sinoatrial node (SAN) cell. (A) The coupled-clock function of an SAN cell in the basal state (black) and in response to ‘funny’ current (If) inhibition (yellow), INa inhibition (red), and both If and INa inhibition (blue). Top to bottom: Membrane voltage (Vm), If, INa, Na+-Ca2+ exchanger current (INCX), T-type Ca2+ current (ICaT), L-type Ca2+ current (ICaL), the flux of Ca2+ exiting the SR (RyR flux), intracellular Ca2+ concentration (Cai), and Ca2+ concentration in the junctional SR compartment (CajSR). Percentages of change of beat interval (BI) are shown in the internal figure. (B) Coupled-clock function of an SAN cell in the basal state (black) and in response to If inhibition (yellow) and If inhibition with INa clamp (purple). (C) Changes in BI based on the simulation.
Figure 5. The effect of sodium current (INa) on major currents and Ca2+ cycling in a simulated mouse sinoatrial node (SAN) cell. (A) The coupled-clock function of an SAN cell in the basal state (black) and in response to ‘funny’ current (If) inhibition (yellow), INa inhibition (red), and both If and INa inhibition (blue). Top to bottom: Membrane voltage (Vm), If, INa, Na+-Ca2+ exchanger current (INCX), T-type Ca2+ current (ICaT), L-type Ca2+ current (ICaL), the flux of Ca2+ exiting the SR (RyR flux), intracellular Ca2+ concentration (Cai), and Ca2+ concentration in the junctional SR compartment (CajSR). Percentages of change of beat interval (BI) are shown in the internal figure. (B) Coupled-clock function of an SAN cell in the basal state (black) and in response to If inhibition (yellow) and If inhibition with INa clamp (purple). (C) Changes in BI based on the simulation.
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Figure 6. Simulated ‘current clamp’ of L- and T-type Ca2+ currents (ICaL, ICaT) in a sinoatrial node (SAN) cell. The coupled-clock function of an SAN cell in the basal state (black), in response to ‘funny’ current (If) inhibition (yellow), and in response to If inhibition with fixation of ICaT and ICaL to their basal values (dark red). Top to bottom: Membrane voltage (Vm), If, INa, Na+-Ca2+ exchanger current (INCX), T-type Ca2+ current (ICaT), ICaL, the flux of Ca2+ exiting the SR (jSRCarel), intracellular Ca2+ concentration (Cai), and Ca2+ concentration in the junctional SR compartment (CajSR).
Figure 6. Simulated ‘current clamp’ of L- and T-type Ca2+ currents (ICaL, ICaT) in a sinoatrial node (SAN) cell. The coupled-clock function of an SAN cell in the basal state (black), in response to ‘funny’ current (If) inhibition (yellow), and in response to If inhibition with fixation of ICaT and ICaL to their basal values (dark red). Top to bottom: Membrane voltage (Vm), If, INa, Na+-Ca2+ exchanger current (INCX), T-type Ca2+ current (ICaT), ICaL, the flux of Ca2+ exiting the SR (jSRCarel), intracellular Ca2+ concentration (Cai), and Ca2+ concentration in the junctional SR compartment (CajSR).
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Arbel Ganon, L.; Davoodi, M.; Alexandrovich, A.; Yaniv, Y. Synergy between Membrane Currents Prevents Severe Bradycardia in Mouse Sinoatrial Node Tissue. Int. J. Mol. Sci. 2023, 24, 5786. https://doi.org/10.3390/ijms24065786

AMA Style

Arbel Ganon L, Davoodi M, Alexandrovich A, Yaniv Y. Synergy between Membrane Currents Prevents Severe Bradycardia in Mouse Sinoatrial Node Tissue. International Journal of Molecular Sciences. 2023; 24(6):5786. https://doi.org/10.3390/ijms24065786

Chicago/Turabian Style

Arbel Ganon, Limor, Moran Davoodi, Alexandra Alexandrovich, and Yael Yaniv. 2023. "Synergy between Membrane Currents Prevents Severe Bradycardia in Mouse Sinoatrial Node Tissue" International Journal of Molecular Sciences 24, no. 6: 5786. https://doi.org/10.3390/ijms24065786

APA Style

Arbel Ganon, L., Davoodi, M., Alexandrovich, A., & Yaniv, Y. (2023). Synergy between Membrane Currents Prevents Severe Bradycardia in Mouse Sinoatrial Node Tissue. International Journal of Molecular Sciences, 24(6), 5786. https://doi.org/10.3390/ijms24065786

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