Abstract
The time course and magnitude of the Ca2+ fluxes underlying spontaneous Ca2+ waves in single permeabilized ventricular cardiomyocytes were derived from confocal Fluo-5F fluorescence signals. Peak flux rates via the sarcoplasmic reticulum (SR) release channel (RyR2) and the SR Ca2+ ATPase (SERCA) were not constant across a range of cellular [Ca2+] values. The Ca2+ affinity (Kmf) and maximum turnover rate (Vmax) of SERCA and the peak permeability of the RyR2-mediated Ca2+ release pathway increased at higher cellular [Ca2+] loads. This information was used to create a computational model of the Ca2+ wave, which predicted the time course and frequency dependence of Ca2+ waves over a range of cellular Ca2+ loads. Incubation of cardiomyocytes with the Ca2+ calmodulin (CaM) kinase inhibitor autocamtide-2-related inhibitory peptide (300 nM, 30 mins) significantly reduced the frequency of the Ca2+ waves at high Ca2+ loads. Analysis of the Ca2+ fluxes suggests that inhibition of CaM kinase prevented the increases in SERCA Vmax and peak RyR2 release flux observed at high cellular [Ca2+]. These data support the view that modification of activity of SERCA and RyR2 via a CaM kinase sensitive process occurs at higher cellular Ca2+ loads to increase the maximum frequency of spontaneous Ca2+ waves.
INTRODUCTION
In the heart, ventricular cardiomyocytes contain regular arrays of clusters of type 2 ryanodine receptors (RyR2), i.e., sarcoplasmic reticulum (SR) Ca2+ channels. These channels can open spontaneously and generate a limited nonpropagating Ca2+ release event termed a Ca2+ spark (1). Under certain circumstances, a Ca2+ spark can trigger Ca2+ release from adjacent RyR2 clusters in a regenerative manner, propagating throughout a ventricular myocyte in the form of a Ca2+ wave (2–5). Spontaneous Ca2+ waves during diastole are indicative of cellular Ca2+ overload; the beneficial consequences are thought to be twofold: i), to minimize the diastolic tone associated with a certain degree of Ca2+ overload (6); and ii), to stimulate Ca2+ extrusion from the cell (7). However, the spontaneous Ca2+ release generates an after depolarization that can be arrhythmogenic (2,8). In an effort to understand the cellular mechanisms responsible for spontaneous Ca2+ release, this phenomenon has been studied under a range of experimental conditions in intact (7,9) and permeabilized cardiac cells (10,11). Increased intracellular [Ca2+] increases the frequency but not the amplitude of spontaneous Ca2+ release, suggesting a fixed intra-SR threshold [Ca2+] for release (2,7,11). But this mechanism may not apply at very high intracellular Ca2+ values (11,12). Additional insight into the subcellular events underlying Ca2+ waves has come from computational modeling studies. This work has examined the conditions necessary for Ca2+ wave propagation (13–15), but have not attempted to predict Ca2+ wave time course or frequency at different intracellular [Ca2+] levels. This study examines the characteristics of the Ca2+ waves in permeabilized ventricular myocytes at a range of intracellular Ca2+ loads. Computational modeling suggests that mean cytoplasmic [Ca2+] modulates the peak rates of SR Ca2+ release and uptake. Inhibition of Ca2+ calmodulin (CaM) kinase removed the Ca2+ sensitivity of these fluxes suggesting a causal link.
MATERIALS AND METHODS
Cell isolation and permeabilization
Ventricular myocytes were isolated from Langendorff perfused rabbit hearts by enzymatic digestion as previously described (16). Isolated cells were maintained in a modified Krebs solution buffered with 1 mM ethylene bis[oxyethylenenitrilo] tetraacetic acid (EGTA) at a concentration of ∼104 cells/ml until use. The cells were allowed to settle onto the coverslip at the base of a small bath. β-escin (Sigma, St. Louis, MO) was added from a freshly prepared stock solution to the cell suspension to give a final concentration of 0.1 mg/ml for 0.5–1 min and the β-escin subsequently removed by perfusion with a mock intracellular solution (see below).
Solutions
Permeabilized cells were perfused with a mock intracellular solution with the following composition (mM): 100 KCl, 5 K2ATP, 5Na2CrP, 5.5 MgCl2, 25 HEPES, 0.05 K2EGTA, pH 7.0 (20–21°C). The [Ca2+] in the perfusing solution was varied by the addition of known amounts of 1 M CaCl2 stock solution (BDH, UK). Fluorescent Ca2+ indicators Fluo-3 or Fluo-5F (Molecular Probes, Eugene, OR) were added to the solution to give a nominal final concentration of 10 μM. Myocyte contraction was minimized by the inclusion of 10 μM cytochalasin-D; separate measurements confirmed that this concentration of cytochalasin-D does not affect the SR Ca2+ release or uptake processes and had no effect on spontaneous Ca2+ wave frequency. Autocamtide-2-related inhibitory peptide(AIP) (CalBiochem, San Diego, CA) was used in the myristoylated form at a concentration of 300 nM. Intact cells were incubated for 30 mins with AIP before β-escin treatment. All solutions used subsequently contained 300 nM AIP.
Data recording and analysis
Confocal line-scan images were recorded using a BioRad (Cambridge, MA) Radiance 2000 confocal system. The Fluo-5F in the perfusing solution was excited at 488 nm and measured above 515 nm using epifluorescence optics of a Nikon (Tokyo, Japan) Eclipse inverted microscope with a Fluor 60× water objective lens (N.A. 1.2). Iris diameter was set at 1.9 providing an axial (z) resolution of ∼0.9 μm and X-Y resolution of ∼0.5 μm based on fullwidth half-maximal amplitude measurements of images of 0.1 μm fluorescent beads (Molecular Probes). Data were acquired in line-scan mode at 2 ms/line; pixel dimension was 0.3 μm (512 pixels/scan; zoom = 1.4). The scanning laser line was oriented parallel with the long axis of the cell and placed approximately equidistant between the outer edge of the cell and the nucleus/nuclei, to ensure the nuclear area was not included in the scan line. As illustrated in Fig. 1 A, the LaserScan (BioRad) software saved the data as a series of image files each containing 30,000 line scans (i.e., 1 min of continuous recording). An experimental record typically comprised four to five line-scan image files; these were reviewed offline and a single intracellular region (80 pixels wide) was selected close to the origin of the wave (indicated in Fig. 1 A). Every protocol was followed by a series of three Ca2+ calibration solutions, identical in composition to the experimental solutions apart from containing 10 mM EGTA and a free [Ca2+] of: i), 1 nM; ii), 380 nM; and iii), 60 μM. The subsequent intracellular and extracellular fluorescence signals were used to convert the previous fluorescence signals to intracellular [Ca2+] as described previously (11) and detailed in the online Supplementary Material. Conversion of fluorescence to [Ca2+] was accomplished assuming a Fluo5F Kd of 1.04 μM (17).
FIGURE 1.
(A (i)) A typical line-scan epifluorescence image of a single permeabilized cardiomyocyte perfused with 280 nM Ca2+ (in 50 μM EGTA, 10 μM Fluo-3). The brighter central region is due to Fluo-5 in the cell, dimmer flanking signals are from the Fluo-5 in the perfusing solutions. White dashed lines denote an 80-pixel band within the cytosol. Superfusion with 10 mM caffeine and 25 μM Thapsigargin is indicated above the image. (A (ii)) Black line,
signal derived from the mean fluorescence signal of the 80-pixel region within the cell marked in panel above; gray line,
in the perfusing solution calculated from the extracellular Fluo-5 fluorescence signal. (B (i)) Line-scan epifluorescence image of a single Ca2+ wave (marked by * in panel A (i)). (B (ii)) Black line,
signal derived from the mean fluorescence signal of the 80-pixel region within the cell; gray line, the average
after correction for the velocity of wave propagation. (B (iii and iv)) Line-scan image of the rapid application of caffeine and the corresponding
values calculated from the marked 80-pixel section. Both signals were filtered using adjacent averaging (five-point).
Wave detection and velocity correction
Measurements of Ca2+ wave velocity along the length of the myocyte were made using a cross-correlation method similar to that described previously (1). Briefly, a line-scan image of Fluo-5F fluorescence was divided into 10 pixel bands. Cross correlation of individual Ca2+ wave signals gave a measure of the time taken to propagate eight sequential 3-μm segments along the length of the cardiomyocyte. The mean velocity over an 80 pixel (24 μm) segment was calculated for eight sequential Ca2+ waves recorded in the steady state. The cross-correlation technique was also used to align the waveforms of the Ca2+ wave recorded in 8 × 10 pixel bands. The series of aligned signals were used to generate an average fluorescence signal of a Ca2+ wave in an 80-pixel region of the cardiomyocyte.
Three-compartment model of Ca2+ fluxes in a permeabilized cardiomyocyte
Cytoplasmic [Ca2+] in a subcompartment of a cardiac myocyte during a Ca2+ wave was reconstructed using a three-compartment model (Supplementary Fig. 1). Estimates of the magnitude and time course of the various Ca2+ flux pathways were derived from experimental measurements in permeabilized cardiac myocytes. Cytoplasmic [Ca2+] from a resolution limited volume of a cardiac myocyte during the Ca2+ wave was calculated from confocal Fluo-5F fluorescence signals. These values in conjunction with estimates for intracellular buffering and the diffusion rate constant were used to calculate the underlying Ca2+ fluxes. This approach was based on the assumption that once initiated, the Ca2+ wave in cardiac muscle is a one-dimensional wave; i.e., effectively the Ca2+ wave occurred simultaneously throughout the depth and width of the cell. Evidence for assumption comes from experimental measurements that indicated that the Ca2+ wave is essentially planar in both z axis (cell depth) and x axis (cell width) (4,15). The consequence of the planar wave is that the gradient of cytoplasmic [Ca2+] and therefore diffusion in the z and x axis is small. Behind the wave front (e.g., 2 μm) in the y axis, the cytoplasmic [Ca2+] is still high from the passing Ca2+ wave (having occurred ∼20 ms earlier). In advance of the wave front in the y axis is the only direction with a significant cytoplasmic [Ca2+] concentration gradient and the potential for diffusion. The sharp wave front observed (within the spatial resolution of the confocal (5)) suggests that over the timescale of the release event (<1 s) diffusion is minimal. The three-compartment model also assumes that diffusion of Ca2+ within the SR is minimal. Measured values of the luminal Ca2+ diffusion coefficient (50–60 μms−2) (18,19) indicate that intra-SR movement of Ca2+ during the time course of the wave is small.
The method by which the change in free cytoplasmic Ca2+ (
) under a range of conditions was used to calculate the Ca2+ fluxes and free intra-SR (
) within a resolution-limited volume of permeabilized cardiac myocyte using a three-compartment model is illustrated in Supplementary Fig. 1. Assuming the free [Ca2+] in the bath solution (
) was constant (
= 0), the differential equations describing the change of free [Ca2+] within the cytoplasm and SR were as follows:
![]() |
(1) |
![]() |
(2) |
SERCA-mediated Ca2+ flux (JSERCA) was described using a previously published equation (20) (see Appendix, Eq. A1). The Ca2+ flux due to diffusion between the cytoplasm and the extracellular space (Jdiff) was measured experimentally (Appendix, Eq. A2). The periodic changes in RyR2-mediated flux (JRyR) was modeled using the following conditions:
![]() |
![]() |
is the calculated maximum value of
based on experimental measurements of total SR Ca2+ content. Jleak is the background Ca2+ leak from the SR (see Appendix, Eq. A3) and is presumed to be mainly via spontaneous activity of RyR2. The magnitude of this flux pathway was measured experimentally (see Fig. 5). J(t)wave is a time-dependant change in RyR2 permeability; the time course and extent was calculated from measurements made on permeabilized cells. The function
transforms the net Ca2+ flux in the cytosol to a change in
This function used previously published measurements of cytosolic Ca2+ binding in permeabilized rabbit cardiac myocytes (21) (see Appendix, Eq. A4).
FIGURE 5.
(A) An example of the protocol used to determine the rate of loss of Ca2+ from the SR, plot of
signal derived from a 20-pixel average of a line-scan image of a permeabilized cardiomyocyte perfused with 150 nM Ca2+ (300 μM EGTA, 10 μM Fluo-5). Caffeine (10 mM) was briefly applied at the times shown by the arrows. The cardiomyocyte was perfused for a further 2 min after the initial caffeine exposure to ensure reequilibration of the SR. Thapsigargin (25 μM) and 50 μM cyclopiazonic acid (CPA) was perfused continuously for a range of times (30, 60, 90, 120 and 180 s) before the second application of caffeine. (B) Plot of the mean (± SE) of the amplitude of caffeine-induced Ca2+ release (converted to
) versus incubation time in TBQ/thapsigargin (•). The solid black line is the best fit single exponential decay to the data. Computational modeling using the rate constant for SR Ca2+ leak predicted a decrease in Ca2+ transient amplitude shown by gray line with gray circle.
Equation 2 is used to quantify the change
whereas
transforms the net Ca2+ flux in the SR a change in
based on previously published estimates of the concentration and binding capacity of Ca2+ buffers in rabbit cardiomyocytes (20) (see Appendix, Eq. A5).
RESULTS
Measurement of Ca2+ waves in permeabilized single myocytes
Fig. 1 A shows a typical line-scan image from a permeabilized rabbit ventricular cardiomyocyte perfused with a solution containing 280 nM Ca2+. This solution caused regular Ca2+ waves (∼0.2 Hz) that propagated the full length of the cardiomyocyte. At the point indicated, 10 mM caffeine and 25 μM thapsigargin were rapidly applied to release Ca2+ from the SR and to inhibit reuptake. The horizontal dashed lines delineates an 80-pixel region (24 μm) along the scan line through the permeabilized myocyte. Fig. 1 A (ii) shows time course of
(black line) and
(gray line) derived from the average fluorescence signal from the 80-pixel band within the cell and a comparable region in the extracellular space adjacent to the cell, respectively. Note that after prolonged perfusion with caffeine/thapsigargin, the
signal is equal to the
indicating equilibration of the [Ca2+] within the two compartments. The same situation exists before addition of caffeine, despite the oscillating level of
the mean
over a period of 2–4 s is equal to the
(11). Fig. 1 B (i) shows the line-scan image of the Ca2+ wave on a faster time base with an 80-pixel central region indicated. The sloping wave front represents the propagation of the Ca2+ wave from one end of the cell to the other at an approximately constant velocity (∼120 μm/s). The diagram in Fig. 1 B (ii) shows the time course of the
in the 80-pixel section (black line). The gray line represents the time course after correction of the wave front for the smearing of the upstroke caused by the propagation of the Ca2+ wave over the ∼24 μm (80 pixels) within the cell (see Methods). Panels iii and iv are the corresponding line-scan image and
from the cell during rapid application of caffeine/thapsigargin. On addition of caffeine, the rise of
is approximately synchronous along the length of the cell, and the upstroke and amplitude of the
signal is similar to that of the corrected Ca2+ wave. The decline of the
signal in the presence of caffeine/thapsigargin is considerably slower than the Ca2+ wave due to the inability of the SR Ca2+ pump to sequester the Ca2+; this decline reflects the loss of Ca2+ from the cardiomyocyte by diffusion. In these measurements caffeine causes a small (∼10%) but significant quench of the Fluo-5F fluorescence. This was evident from the extracellular fluorescence signal. The time course and extent of caffeine-induced quench was quantified and used to correct the intracellular signal. This correction was minimal during the initial rise of 
Ca2+ waves at a range of perfusing [Ca2+] values
Fig. 2 A shows records of
recorded from 80-pixel regions of line scans recorded from cardiomyocytes exposed to solutions containing Fluo-5F and a range of
(∼300 nM (i), ∼600 nM (ii), and ∼900 nM (iii)). The gray line in each panel indicates the
in each experiment. As the
was increased, Ca2+ wave frequency, and minimum and maximum
all increased. Average values of these parameters are shown in Fig. 2 B (i). The gray line is the unity relationship between mean
and
The values of mean
during a 30-s period of Ca2+ waves follows the unity relationship indicating that over the range of 300–900 nM there is no net diffusion of Ca2+ between the cytosol and the extracellular space despite the oscillation of
The relationship between the maximum
and
was nonlinear, the increase observed from ∼600 to 900 nM was much greater than that seen between 300 and 600 nM. Fig. 2 B (ii) shows the mean values of Ca2+ wave frequency versus
the relationship with respect to
was also nonlinear. The increase in frequency observed between 600 and 900 nM was considerably less than that seen from 300 to 600 nM. The average Ca2+ wave velocities showed a similar nonlinear relationship to frequency. At a
∼ 300 nM, wave velocity was 130 ± 4 μm/s; at ∼900 nM the frequency of the Ca2+ waves had increased approximately fivefold whereas the velocity had increased to 180 ± 5 μm/s (P < 0.05).
FIGURE 2.
(A)
signals derived from the mean Fluo-5 fluorescence signals from: black line, 20-pixel region within cardiomyocytes (
); gray line, the corresponding region in the extracellular space (
). At the time indicated the cardiomyocytes were perfused with 10 mM caffeine and 25 μM thapsigargin. (i)
(ii)
(iii)
(A (i) and B (i)) Plot of
versus maximum
(wave peak, ○), mean
(•), and minimum free
(□). The gray line indicates the unity relationship. (ii) Plot of
versus frequency of Ca2+ waves (○) and velocity (•).
Conversion to total cytoplasmic [Ca2+]
Fig. 3 A shows the process of conversion of
signal to total cellular [Ca2+] (
) using the intracellular Ca2+-buffer characteristics measured for digitonin-treated rabbit ventricular myocytes in previous studies (21). The change in
was derived from eight sequential velocity-corrected Ca2+ waves recorded in the steady state (Fig. 2 A). As shown in Fig. 3 A (ii), although the amplitude of the
signals at 600 nM was larger than that at 300 nM; the amplitude of the two
signals is similar. This is confirmed by the mean data shown in Fig. 3 C (i) and suggests that over a range of cellular Ca2+ loads, the total [Ca2+] released by the SR during a Ca2+ wave is constant irrespective of the mean
and frequency. Furthermore, the similarity of the amplitude Ca2+ wave and caffeine-induced Ca2+ release indicates that the Ca2+ wave releases the majority of the available SR Ca2+ (Fig. 3 B). Therefore the increase in the
of ∼150 μM during a Ca2+ wave or caffeine transient provides an estimate of the total Ca2+ content of the SR under these conditions. Using previously published estimates of SR volume, concentration of intra-SR Ca2+ buffer and the apparent Kd of Ca2+ (20), these values predict that maximum [Ca2+] in the SR (
) is ∼3 mM and the free intra-SR Ca2+ (
) is ∼1 mM. The average value of
predicted at a mean
of ∼300 nM was not significantly different from that calculated at 600 and 900 nM and supports the earlier contention that spontaneous SR Ca2+ release occurs at a fixed intraluminal [Ca2+] (7,10). An important additional conclusion is that locally, the Ca2+ released during a Ca2+ wave depletes the SR Ca2+ as effectively as caffeine-induced Ca2+ release. One source of error in this estimation is the variable timing of the caffeine-induced Ca2+ release relative to the preceding Ca2+ wave. Releasing Ca2+ with caffeine shortly after a Ca2+ wave may underestimate the maximum Ca2+ content of the SR since refilling may be incomplete. An estimation of the relationship between SR Ca2+ content and the time after the preceding wave can be gleaned from a plot between Ca2+ wave amplitude and the interwave interval. Fig. 3 C shows this relationship based on data from permeabilized cells at ∼300, ∼600, and 900 nM. This plot shows a shallow dependence of SR Ca2+ released during a Ca2+ wave and the interwave interval. The data suggest that Ca2+ release at periods >60% of the maximum interwave interval will release >90% of the Ca2+ released at the longest interwave interval. Therefore if the caffeine-induced Ca2+ release is in the latter 50% of the interwave interval it will not substantially underestimate maximum SR Ca2+ content. This time course of SR refilling is supported by the predictions from the computational model (see Fig. 8).
FIGURE 3.
(i) Illustration of the conversion of
signals to
signals using the steady-state Ca2+ buffer curve. The Ca2+ transients are the average of eight Ca2+ sequential velocity-corrected Ca2+ waves at 320 nM (black line) and 880 nM (gray line). The buffer curve is based on published data (20). The arrows indicate the amplitudes of the Ca2+ waves both in terms of
and
(ii) Amplitude of the Ca2+ wave at both 320 and 880 nM in terms of
(right-hand side) and
(left-hand side scale). (B (i)) Mean values of the amplitude of Ca2+ wave at a range of
values expressed in terms total [Ca2+]cyt. (ii) Mean values of caffeine transient amplitude at a range of
values.
FIGURE 8.
Sample data from the computational model of Ca2+ waves. (A) Using the experimentally measured values of the various fluxes underlying a Ca2+ wave, the signal was recreated (gray line) and superimposed on the experimentally recorded signal (black line) recorded at
(B) The computational model was run continuously for 10 s, the
was calculated from the experimentally measured total SR Ca2+ content. At the point indicated, caffeine/thapsigargin was simulated by increasing background leak by 1000× and decreasing SERCA Vmax by 1000×. Model data for (i)
(ii)
(iii) net Ca2+ flux. (C) Model data for Ca2+ waves at
(i)
(ii)
(iii) net Ca2+ flux. On the right-hand side, the model output after correction of RyR and SERCA parameters for raised
according to the relationships shown in Fig. 7.
Estimation of rate of loss of Ca2+ from the myocytes by diffusion
The rate constant for the efflux of Ca2+ from permeabilized cardiomyocytes was estimated by examining the rate of decay of the Ca2+ signal after rapid application of caffeine/thapsigargin. Under these conditions, it was assumed that the rate of decay of the Ca2+ signal was dependant on the loss of Ca2+ from the permeabilized cell by diffusion. The method used to estimate the rate of diffusion is illustrated in Fig. 4, the decay of
within the cell was converted to a
signal as described in Fig. 3 A. The resultant signal was fitted a polynomial (fourth to eighth order) to obtain a smoothed
decay curve. The polynomial fit of the decay time course was differentiated (to calculate Ca2+ flux) and plotted against the corresponding Δ
Z signal (
). As shown in Fig. 4 B, this relationship was approximately linear, the gradient of which reflected the value of the rate constant to describe the loss of Ca2+ from the cell. The average rate constant was 30.1 ± 2.1 s−1 (n = 24 cells). Knowledge of this constant allowed the
signal to be corrected for the Ca2+ loss and gain from the extracellular space during the Ca2+ wave. An example of the corrected transient is shown in Fig. 4 C and the signal represents the total Ca2+ released and taken up by the SR during a single Ca2+ wave. Despite the high
during a wave, the loss of Ca2+ from the cell by diffusion is small, at the peak of the transient it is ∼3 μM, and by the end of the transient the value is ∼10 μM compared to the total released from the SR of ∼150 μM.
FIGURE 4.
(A) Records of
and
derived from the average fluorescence measured from a 20-pixel average of a continuous line-scan image. After a Ca2+ wave, caffeine (10 mM) and thapsigargin (25 μM) were rapidly applied. Panel B shows the decay phase of the Ca2+ signal in caffeine and thapsigargin on an expanded timescale. The light gray dashed line is the fourth-order polynomial fit to decay phase. The dark gray dashed line is the
signal derived from the standardized Ca2+ buffer curve. (B (ii)) Plot of the Δ[Ca2+]cyt signal (
) derived from the (polynomial fitted signals) and the time derivative of the
signal (gray line). The black line represents the best fit linear relationship to the function. The slope of this relationship is the rate constant for the diffusion of Ca2+ from the cardiomyocyte (40 ± 2 s−1). The application of this rate constant to the
signal predicts the change in total
within the cytosol including the gain and loss of Ca2+ by diffusion. These two signals are shown in panel C.
Estimation of the background leak of Ca2+ from the SR
Ca2+ efflux from the cardiac SR in the absence of Ca2+ waves is thought to be mainly due to spontaneous nonpropagating Ca2+ sparks that generate a background Ca2+ leak from the SR. The magnitude of the background flux can be quantified by monitoring the loss of Ca2+ from the SR in the absence of SERCA activity. These measurements were made in permeabilized cardiomyocytes as shown in Fig. 5 A. Cells were perfused with
of 150 nM in the presence of 0.3 mM EGTA. Rapid and complete inhibition of SERCA was achieved by using a mixture of two SERCA inhibitors, 2′,5′-di(tert-butyl)-1,4-benzohydroquinone (TBQ) (25 μM) and thapsigargin (25 μM). The time course for the loss of SR Ca2+ was tracked by application of 10 mM caffeine at fixed times after SERCA inhibition. The amplitude of the
signal at each time point was taken to reflect the SR Ca2+ content. Fig. 5 B shows the mean data from a number of experiments, the time course of the decay suggests an approximately exponential decay of SR Ca2+ content with a rate constant of 1.37 ± 0.01 min−1 (n = 8 cells). The additional curve shown in Fig. 5 B is the predicted time course of the decrease in amplitude of caffeine-induced Ca2+ signals from the computational model described below.
Calculation of SERCA-mediated fluxes from the time course of the Ca2+ wave
Fig. 6 illustrates the approach used to estimate the SERCA-mediated flux and subsequently the time course and magnitude of RyR2-mediated Ca2+ flux during a Ca2+ wave. Fig. 6, A and B, show the time course of the change in
and
(corrected for diffusion), respectively, during a Ca2+ wave. A smoothed waveform of the
signal was generated by a pair of fourth- to eighth-order polynomials fitted to the upstroke and decay phases of the waveform (gray line). The net Ca2+ flux associated with a Ca2+ wave was calculated by differentiating the
signal to generate the waveforms shown in Fig. 6 C (back line). The differential of the polynomial fit generated a smooth time course (gray line), whereas the magnitude of the release phase (positive flux) could be resolved directly from the Ca2+ signal. But the differential of the original total Ca2+ signal was too noisy to extract the negative flux (uptake phase) of the signal. The time course of the negative phase was resolved from the differential of a polynomial fit (inset, Fig. 6 C). During the latter phase of these signals (the section highlighted by the gray area), the underlying Ca2+ fluxes were assumed to be: i), background SR Ca2+ leak (Fig. 4); ii), diffusional loss/gain of Ca2+ (Fig. 3); and iii), SERCA-mediated Ca2+ flux. The rate constants associated with fluxes i and ii were estimated from the measurements described above and used to calculate the magnitude of the associated fluxes during the decay phase of the Ca2+ wave. These fluxes were subtracted from the underlying Ca2+ signal to reveal the SERCA-mediated flux (black line, Fig. 6 D). As shown in Fig. 6 D, between 200 and 600 nM
the relationship between the SERCA-mediated Ca2+ flux and the corresponding
fitted well with a previously published model of SERCA function (gray line; Appendix, Eq. A1) (20) and this allowed the estimate of the maximum turnover rate (Vmax) and the Ca2+ sensitivity (Kmf) and slope (H) of SERCA. Once established, these values were assumed to apply for the complete time period of the Ca2+ wave (Fig. 6 E). These calculations suggested that for the majority of the time course of the Ca2+ wave, SERCA was operating at, or close to, the Vmax.
FIGURE 6.
Illustration of the methods used to derive the parameters associated with SERCA-mediated Ca2+ uptake and RyR2-mediated Ca2+ release. (A) The time course of the
signal measured from a permeabilized cardiomyocyte perfused with
∼ 300 nM Ca2+. The signal is derived from the average of eight sequential Ca2+ waves, 20 pixels wide, and corrected for wave velocity. The gray shaded area marks the region of the trace from which the SERCA parameters are derived (D). (B) The corresponding diffusion-corrected
signal (black line) and the superimposed two-part, fourth-order binomial fit to the transient (gray line). (C) The time differential of the
signal (d[Ca2+]/dt) shown in panel B (black line); the time differential of the binomial fit is shown by the gray line. The inset shows the lower section of the plot at an expanded scale. (D) Plot of the rate of change of
(against the corresponding
signal (black line)); the gray rectangle is the region of plot used to derive the SERCA parameters of Hf, Kmf, and Vmax (20). (E) Plot of the predicted SERCA activity throughout the Ca2+ wave based on the values of
and the SERCA parameters derived in panel D. (F) The Ca2+ efflux time course calculated by subtraction of the SERCA flux from the total Ca2+ flux signal.
Calculation of RyR2-mediated fluxes from the time course of the Ca2+ wave
By assuming that the calculated SERCA parameters and the rate constants for both background SR Ca2+ leak and the Ca2-diffusion apply equally to the initial phase of the Ca2+ wave, the time course and magnitude of transient increase in RyR2-mediated Ca2+ flux can be estimated (Fig. 6 F). This approach predicted an RyR2-mediated efflux that peaks at ∼4 mMs−1 within 30 ms and decays to negligible values within 100 ms. The time course of the Ca2+ flux can be converted to a permeability by calculation of the corresponding changes in
using previously published estimates of SR volume and intrinsic cellular buffering properties (22). This parameter is independent of the trans-SR Ca2+ concentration gradient and indicates the time course of the change in RyR2 activity. These calculations suggest that the Ca2+ efflux from the SR increases from a basal level of ∼1.2 μM/s to ∼3 mM/s during a Ca2+ wave as a result of a transient increase in the permeability of the SR to Ca2+.
Derivation of SERCA flux and RyR2 flux parameters from Ca2+ waves generated at a range of intracellular [Ca2+]
The analysis described in Fig. 6 was applied to Ca2+ waves recorded from cardiomyocytes exposed to solutions with a
of ∼300, ∼600, or ∼900 nM Ca2+. As shown in Fig. 7, the mean values of SERCA Vmax and Kmf were not constant across this range of
both increased significantly, whereas the change in slope (H) was not significant. The corresponding changes in RyR2 flux parameters predicted by the analysis are shown in Fig. 7, A (iii) and C. The calculated peak RyR2-mediated flux and permeability progressively increased over the range of [Ca2+] studied but the duration at half-maximum (FWHM) was unchanged (Fig. 7 C (iii)).
FIGURE 7.
(A (i)) Superimposed Ca2+ waves measured at three different
(A (ii)) Calculated SERCA flux from the three transients; (A (iii)) calculated RyR fluxes. (B) Average SERCA parameters extracted from Ca2+ waves recorded from eight to 10 rabbit ventricular myocytes at each
(i) SERCA Ca2+ affinity constant (Kf); (ii) slope factor (Hf); (iii) maximum turnover rate (Vmax). (C) Average RyR2 parameters extracted from Ca2+ waves recorded from eight to 10 rabbit ventricular myocytes at each
(i) peak flux; (ii) peak permeability; (iii) fullwidth at half the maximal value (FWHM) of the change in peak permeability. Straight line is the best fit linear correlation to the data. *p < 0.05.
Comparison of model and recorded Ca2+ wave parameters
The complete set of Ca2+ flux parameters for Ca2+ waves recorded in a typical permeabilized cell at
of ∼300 nM (including the time course of RyR2-mediated Ca2+ flux) were used in a computational model to predict the time course and frequency of Ca2+ waves. The details of the model are given in the Methods section and in the Appendix, the only assumption used in the model is that RyR2-mediated Ca2+ release was triggered by the
reaching a threshold value (
). This value was taken as the maximum free intra-SR [Ca2+] calculated from the estimated total SR Ca2+ content. As shown in Fig. 8, the computational model predicted Ca2+ waves of similar time course (Fig. 8 A) and frequency to that observed experimentally. When run continuously to reach a steady state, the model generated Ca2+ transients at
= 300 nM that had a frequency, maximum and minimum
that was within 5% of the experimental data. The application of caffeine/thapsigargin was simulated by increasing background leak by a factor of 1000 and reducing Vmax of SERCA by 1000. The resultant Ca2+ transient decayed with a similar time course to that observed experimentally due to loss of Ca2+ by diffusion. The calculated
signal is shown to indicate the predicted time course of
during release and loading to a threshold level during each wave. The third signal is the integral Ca2+ flux due to diffusion. This indicates that during each Ca2+ wave ∼10 μmol of Ca2+ leaves the cell during the Ca2+ wave. In the period between Ca2+ waves, the same amount of Ca2+ enters the permeabilized cell from the extracellular space. Thus, in the steady state, the amount of Ca2+ leaving and entering the cell is balanced. Fig. 8 B (i and ii) show model predictions of Ca2+ waves at 900 nM Ca2+ under two conditions: i), with the same values of Vmax, Kmf, H, and peak RyR2 permeability used to simulated waves at 300 nM; and ii), with the values of Vmax, Kmf, and RyR2 peak permeability appropriate for 900 nM derived from the relationships shown in Fig. 7. As shown, without changing the SERCA and RyR2 values, the model predicts a rise of Ca2+ wave frequency (to 372% of control) and amplitude (to 136% of control). However, adjusting of the SR parameters to those appropriate for 900 nM predicts waves of higher frequency (514% of control) and similar amplitude (138%). The predicted increase in wave frequency going from 300 to 900 nM (514%) is comparable to that observed experimentally (481 ± 12%, n = 10). The same result can be achieved by using the SR parameters at 900 nM as the starting conditions and predicting the Ca2+ waves at 300 nM, the decrease in frequency of Ca2+ waves predicted by uncorrected SR parameters is less than that seen experimentally (data not shown). In summary, the use of fixed SERCA and RyR2 parameters to predict Ca2+ wave characteristics does not mimic the experimental data over a range of
Adjustment of SERCA Kmf and Vmax and RyR2 maximum permeability is necessary to accurately predict changes Ca2+ wave frequency at different values of
The effects of CaM kinase inhibitor AIP on Ca2+ waves
One mechanism that may be responsible for the experimentally observed change in the characteristics of RyR2 and SERCA at different
is modulation of the activity of these proteins by phosphorylation via the Ca2+ sensitive enzyme CaM kinase (23). To test this hypothesis, intact cells were incubated with the CaM kinase inhibitor AIP before exposure to solutions containing either ∼300 or ∼600 nM Ca2+. The data shown in Fig. 9 summarizes the Ca2+ wave characteristics and the derived SERCA and RyR2 parameters relative to those measured at
Incubation with AIP reduced the degree to which the Ca2+ wave frequency increased at
= 900 nM (from 481 ± 12%, n = 10 to 340 ± 10%, n = 15, P < 0.05; Fig. 9 A (iii)) but did not change any other aspect of the Ca2+ wave (Fig. 9 A (i and ii)). Analysis of Ca2+ fluxes indicated that AIP treatment prevented the apparent increase in SERCA Vmax observed at 900 nM Ca2+ (P < 0.05; Fig. 9 B (iii)) but the effect of AIP on SERCA Kmf and H were not statistically different from the control values. Furthermore, the derived values of peak RyR2 flux and permeability after AIP treatment were significantly lower than control values at 900 nM
(P < 0.05). Wave velocity in AIP was significantly lower after AIP treatment (130 ± 7 μm/s) compared to control (180 ± 5 μm/s), and was similar to that measured at
= 300 nM (130 ± 4 μm/s). AIP treatment did not significantly affect any of the Ca2+ wave parameters or derived SERCA and RyR2 parameters at
Plotted on the right-hand side of each on the panels in Fig. 9 are the relative changes in parameters on raising
from 300 to 900 nM predicted by the computational model under two conditions: i), with values of SERCA and RyR2 values corrected for increased [Ca2+]; and ii), using values of SERCA and RyR2 parameters appropriate for
The effects of removing Ca2+ correction on i), Ca2+ wave frequency; ii), SERCA turnover rate (Vmax); and iii), RyR2 peak permeability is similar to that observed experimentally on addition AIP. This supports the view that AIP inhibits the Ca2+-dependent changes in SERCA and RyR2 function observed upon raising the
from 300 to 900nM.
FIGURE 9.
Relative change in measured (A) and derived (B and C) Ca2+ wave parameters at 900 nM relative to those at 300 nM before and after treatment with the CaM kinase II inhibitor AIP (see key). (A (i)) Minimum
(ii) maximum
(iii) wave frequency. Hatched bars represent the relative change in wave parameters calculated by the computational model with and without the correction for changes in RyR and SERCA. (B) Relative change in SERCA parameters (i) Kf, (ii) slope (Hf), and (iii) maximum turnover rate (Vmax). (C) Calculated RyR parameters (i) peak flux, (ii) peak permeability, and (iii) the fullwidth at half the maximal change in permeability (FWHM).
DISCUSSION
This study examines in detail the characteristics of Ca2+ waves in cardiomyocytes at a range of cellular Ca2+ loads. The data indicate that a fixed amount of Ca2+ is released from the SR across a range of cellular [Ca2+] values; locally the amount released is comparable to that release by high caffeine/thapsigargin application suggesting that a Ca2+ wave causes almost complete depletion of the SR. Estimates of the underlying Ca2+ fluxes during a Ca2+ wave indicates that the peak fluxes associated with SERCA and RyR2 activity are modulated by the average
These changes can be prevented by inhibition of CaM kinase using the peptide AIP. The flux data were used to create a computational model of cardiac SR that accurately predicts the time course and frequency of Ca2+ release from the SR across a range cellular Ca2+ loads. The model quantifies the change in Ca2+ wave parameters expected if the relative fluxes via RyR2 and SERCA were to remain constant. This is interesting because these calculations indicate that the moderate reduction of Ca2+ wave frequency observed at
= 900 nM after AIP treatment does not result from the incomplete action of the drug. This effect is consistent with the anticipated effects of removing the Ca2+ sensitivity of the SR uptake and release parameters.
Comparison between Ca2+ wave and caffeine transient
Careful calibration of fluorescence signals allowed the accurate measurement of
within a limited region of the cytosol of permeabilized cardiac cells (11). Previous studies have shown that both intact and permeabilized cells exhibit a threshold
for Ca2+ wave generation of above ∼200 nM. Above this value, cycles of spontaneous SR Ca2+ release occur with increasing frequency as the cellular Ca2+ load is increased. At the whole cell level, spontaneous Ca2+ release was estimated to deplete the SR Ca2+ by ∼15% compared to that achieved during rapid application of caffeine (7). This study suggests that Ca2+ release during a fully propagating Ca2+ wave locally depletes the SR by ∼100% compared to that achieved by caffeine. This observation is not contrary to the measurements from intact cardiac myocytes; normally the complete Ca2+ wave takes ∼1 s to propagate along the length of the cell at room temperature. But at any one time over this period only ∼20% of the volume of the cardiomyocyte experiences an increased
∼80% of the volume is either awaiting the arrival of the Ca2+ wave or is recovering after the release phase. In contrast, caffeine releases Ca2+ synchronously throughout the cardiomyocyte; therefore local and whole cell signals are comparable. A similar principal applies to the published records of luminal Ca2+ using Fluo-5N fluorescence. These data suggest that a Ca2+ wave releases ∼60–70% of the total caffeine-accessible signal (24,25). These studies may have underestimated the amplitude of signal associated with a Ca2+ wave. The Fluo-5N line-scan signal of a Ca2+ wave was derived from the average fluorescence from the full length of the cell. The finite time (∼1 s) for the wave to propagate along the length of the cell will smear the time course and reduce the amplitude of the signal. A similar phenomenon is seen with the Fluo-5F cytoplasmic signals (see Supplementary Fig. 3). This averaging of the nonsynchronous Ca2+ wave signal may explain why the amplitude is lower than those observed with synchronous caffeine-induced signals.
The data described in this study are entirely derived from permeabilized cardiac myocytes, but the principles are thought to apply to Ca2+ waves in intact myocytes. Previous studies have compared intact and permeabilized cells; no significant differences were observed in time course, amplitude, or frequency of spontaneous Ca2+ waves recorded from these two preparations (10,26).
Raising the cellular Ca2+ load increased the minimum and maximum
and apparently increased the amplitude of
change during the Ca2+ wave. However, when the total Ca2+ released from the SR at various cellular Ca2+ loads was calculated the increase in
within the cytosol during a Ca2+ wave was constant (∼0.15 mM) regardless of the cellular Ca2+ load (Fig. 3 C). This calculation and the subsequent analysis is based on the assumption that the only subcellular components contributing to the intracellular Ca2+ signals are: i), cytoplasmic Ca2+ buffers; ii), SR Ca2+ release and uptake processes; iii), intra-SR Ca2+ buffers. There is evidence that cardiac mitochondria contribute to Ca2+ homeostasis (27,28), but previous work indicates that under the conditions of this study, the activity of mitochondria does not influence the time course or frequency of the Ca2+ waves (11).
Measurement of background Ca2+ fluxes
The rate constant for Ca2+ loss from a permeabilized cardiomyocyte was calculated from the rate of decay of the caffeine-induced response. Assuming this value can be applied to Ca2+ movement both into and out of the myocyte, this was used to calculate the magnitude of Ca2+ fluxes across the permeabilized membrane during a Ca2+ wave. These calculations suggested that only a small amount of Ca2+ is lost and gained during a Ca2+ wave cycle (∼10 μM) compared to the total released from the SR (∼150 μM). Interestingly, these estimates are close to those published for intact cardiomyocytes where Ca2+ loss and gain from the cell is via sarcolemmal transport processes (mainly the Na+/Ca2+ exchange) (7).
In a separate set of experiments, the efflux of Ca2+ from the SR in the absence of Ca2+ waves was estimated by monitoring the decline in SR Ca2+ content at various times after rapid inhibition of SERCA. This time course was approximately exponential and could be adequately modeled with a single rate constant. This was used to estimate the rate of efflux of Ca2+ from the SR in the periods between Ca2+ waves; a flux that is normally countered by the activity of SERCA. Over the initial 30 s after inhibition of SERCA, the leak of Ca2+ from the SR was ∼1.2 μM/s. This value is lower than those measured in intact rabbit myocytes using rapid tetracaine application (4–15 μM/s) (22) but higher than estimates in earlier studies (20,29). One possibility for the range of values is the critical dependence of leak rate on SR luminal Ca2+, a variable that was not necessarily constant across studies.
Model derived values of SERCA and RyR2 fluxes
Assuming that the transient increase in SR Ca2+ permeability that caused the Ca2+ wave did not contribute significantly to the Ca2+ signal late on in the decay phase of the wave, then the Ca2+ fluxes determining the
in the latter part of the wave are: i), exchange with the bath solution; ii), background efflux from the SR; and iii), uptake by SERCA. Since i and ii are known, iii was calculated using a previously published model of SERCA (20). The values of SERCA binding constant (200–300 nM), the slope of the relationship (3–4), and the maximum turnover rate (Vmax) values (200–400 μM/s) are comparable to those values estimated for the intact cardiac myocyte (20,22,30). When these SERCA characteristics were used to predict SERCA activity early in the Ca2+ wave it was clear that, for the majority of the release phase, SERCA will be operating at maximal turnover rate. Assuming that SERCA activity can influence the Ca2+ signal immediately (∼5 ms) after the release of Ca2+ from the SR, the predicted SERCA fluxes during the Ca2+ wave were used to predict the corresponding SR Ca2+ release waveform required to generate the measured change in
The transient rise of SR flux calculated by this approach peaked within 30 ms with a flux rate of ∼2–3 mM/s and was complete by ∼100 ms. These values are comparable to those measured during E-C coupling in cardiomyocytes at high SR Ca2+ loads (31–33). Throughout these calculations, equilibrium constants and not rate constants were used to calculate Ca2+ binding to cytosolic buffers and SERCA. This simplifying assumption has been made by several previous studies (20,34–36) and is justified in the current study by the relatively coarse spatial (∼5 μm) and temporal resolution (10 ms) of the measurements.
Changes in Ca2+ wave characteristics with cellular [Ca2+]
Examination of the characteristics of the Ca2+ waves at a range of cellular [Ca2+] revealed changes in the calculated underlying Ca2+ fluxes (Fig. 7, B and C). The analysis suggests that the time course of the Ca2+ wave at higher
require changes in the parameters for both SERCA and the RyR2 activity. The most striking of these changes are the increase in SERCA Vmax and the increased peak permeability of release waveform. This suggests that the increased frequency of the Ca2+ waves at higher cellular Ca2+ load cannot simply be explained by a fixed set of SR fluxes. This conclusion was confirmed using a computational model. Using the characteristics of the SR that apply at 300 nM to predict the changes in wave characteristics at 900 nM indicated an increase in Ca2+ wave frequency that was considerably lower than that observed (375 vs. 514%). Using the higher SERCA and RyR2 parameters measured at
∼ 900 nM reproduced the Ca2+ wave frequency to within 5% of the measured values (481 ± 12%).
Changes in Ca2+ wave velocity with cellular [Ca2+]
Ca2+ wave velocity was higher when the
and therefore the mean
was increased. A positive correlation between Ca2+ wave amplitude and velocity has been previously reported for propagated waves in intact (37) and permeabilized cardiomyocytes (10,11). Although the precise mechanism underlying the relationship has not been verified, propagation of a Ca2+ wave is thought to be mediated via a “fire-diffuse-fire” mechanism between discrete clusters of RyR (14,38,38). Simplistically, larger Ca2+ release would be expected to propagate faster because the threshold
required to trigger release at adjacent sites would be attained earlier. A computational model of Ca2+ waves in the heart (14) indicated that over a limited range of wave amplitudes, an approximately linear relationship existed between Ca2+ wave propagation velocity (v) and the coefficient σ/dc* where d is the distance between release sites, c* is the threshold
for Ca2+ release, and σ is the amount of Ca2+ released from the SR (14). Normally, the parameters d and c* are considered fixed, but modeling of Ca2+ waves has been extended to include an influence of luminal [Ca2+] (
) on c* (39). A considerable amount of data now supports the concept that increased SR luminal [Ca2+] (
) acts on luminal sensors to increase the open probability of RyR2 and hence lower the cytoplasmic threshold for Ca2+ release (c*) (39,40).
Recent work suggests that the SERCA activity between adjacent release sites may directly influence propagation velocity (41). In particular, rapid inhibition of SERCA instantaneously reduced conduction velocity (42). This suggests that SERCA mediated uptake has a role in the propagation of the Ca2+ wave. In particular, the high
after release at one site may activate SERCA and increase
in adjacent sites thereby lowering the cytoplasmic threshold for release (c*). If this mechanism acted as a modulatory influence then factors that increase SERCA Vmax would be anticipated to increase propagation velocity by increasing the rate of rise of
The data presented in this study are consistent with this theory; the increased propagation velocity observed at higher
was paralleled by an apparent increase in SERCA Vmax. After inhibition of CaM kinase, neither the calculated SERCA Vmax nor the propagation velocity was significantly increased at the higher
despite an increase in Ca2+ wave amplitude.
CaM kinase inhibition
CaM kinase II is the most obvious candidate for the Ca2+-dependent modulation of SERCA and RyR2 observed in this study. The enzyme exists both within the cytosol and bound to the SR membrane in cardiac muscle and has previously been reported to influence the activity of SERCA and RyR2 via phosphorylation (23). Support for this hypothesis was obtained by using the CaM kinase inhibitor AIP, which appeared to alter the Ca2+ wave characteristics at high
(∼900 nM), but not at lower values (∼300 nM). Furthermore, flux analysis of Ca2+ waves suggests that the effects of CaM kinase inhibition could be explained by the preventing the increase in SERCA Vmax and RyR2 peak permeability observed at
= 900 nM (Fig. 9). The increased values of SERCA Vmax at higher
reversed by CaM kinase inhibitors, is entirely consistent with previous reports of the effects of CaM kinase phosphorylation on SERCA (43). This contrasts with A-kinase mediated effects that change in the Ca2+ affinity of the pump.
In intact myocardium, frequency-dependent acceleration (FDA) of relaxation is an important part of the physiological response to increased frequency of stimulation. The role of CaM kinase in this response is controversial (44,45). The data in this study would suggest that a similar FDA of Ca2+ uptake occurs in spontaneously active cardiac cells. As the mean
is increased, the CaM kinase-mediated effect enhances SERCA activity and increases the frequency of spontaneous Ca2+ release.
Increasing
also affected the Ca2+ efflux pathways. The marked increase in permeability observed at
∼ 900 nM was prevented by inhibition of CaM kinase by AIP treatment. Previous reports on the consequences of CaM kinase phosphorylation of RyR2 are controversial, with increases (46) and decreases (47) being reported. In mice overexpressing CaM kinase II, spark frequency approximately doubles (48), and the enhanced CaM kinase II activity in heart failure is linked to the increased leak via RyR2 in heart failure (49,50). The data in this study is consistent with CaM kinase mediated stimulation of RyR2 activity. These effects combined with CaM kinase mediated effects on SERCA increase the frequency of spontaneous Ca2+ waves in cardiac muscle. At the higher cellular [Ca2+] values that occur at high heart rates, the increased CaM kinase activation is unlikely to increase the probability of spontaneous Ca2+ release during diastole due to the corresponding shorter diastolic period. But the increased CaM kinase II expression and activity documented in failing hearts (49–52) may increase the probability of spontaneous Ca2+ release at normal heart rates, a potentially proarrhythmic event.
SUPPLEMENTARY MATERIAL
To view all of the supplemental files associated with this article, visit www.biophysj.org.
Supplementary Material
Acknowledgments
We gratefully acknowledge financial support from the British Heart Foundation and the Engineering and Physical Sciences Research Council.
APPENDIX
SERCA-mediated Ca2+ flux
Estimates of SERCA activity was fitted to the equation containing parameters for forward and reverse modes (53).
![]() |
(A1) |
where Vmax = maximal pump rate, [Ca2+]i = intracellular [Ca2+], Kmf = forward Michaelis-Menten pump constant, Kmr = backward Michaelis-Menten pump constant, H = Hill coefficient, [Ca2+]SR = intra-SR [Ca2+], Kmr = 7000 × Kmf.
Ca2+ diffusion between cytoplasm and extracellular space
![]() |
(A2) |
Sarcolemmal diffusional flux (Jdiff) was derived from the decline of [Ca2+]cyt following caffeine-induced SR Ca2+ release. The declining phase was fitted with a high (fifth to eighth) order polynomial and converted to
using Eq. 4. The first derivative of this was then calculated, plotted against the trans-sarcolemmal Ca2+. The gradient of this relationship gave the value k in Eq. 4.
Ca2+ leak from the SR during period between Ca2+ waves
Leak was calculated on the basis of SR-cytosol concentration gradient, with the equation below.
![]() |
(A3) |
where kleak is calculated from data obtained in this study (1.37 ± 0.01 min−1).
Cytoplasmic Ca2+ buffering
Ca2+ buffering in the cytosolic compartment was based on a previously derived values by Hove-Madsen and Bers (21) and described by the equation below:
![]() |
(A4) |
where Bmax(1) and Bmax(2) are the maximum free buffer concentrations (68 μmol/kg wet wt and 86 μmol/kg wet wt), and Kb(1) and Kb(2) are the dissociation constant for each buffer (0.42 μM and 79 μM).
Intra-SR Ca2+ buffering
Intra-SR Ca2+ buffering was quantified using parameters derived from Shannon and Bers (20). The free [Ca2+] within the SR (
) was calculated from
as follows:
![]() |
(A5) |
The Ca2+ binding characteristics of calsequestrin (CSQ) have been estimated from studies of cardiac myocytes. Its Kd has been previously shown to be 0.630 mM (54), with a Bmax of 2.7 ± 0.2 mM SR (20). Values for intra-SR [Ca2+] were converted from units of μmol/l cytosol to μM SR by assuming the SR volume is 3.5% of the total cell volume and that 65% of the cell volume is cytosol (55). The final conversion factor was 18.l L cytosol/L SR. This information allowed quantification of the [Ca2+]SR.
Editor: David A. Eisner.
References
- 1.Cheng, H., W. J. Lederer, and M. B. Cannell. 1993. Ca2+ sparks: elementary events underlying excitation-contraction coupling in heart muscle. Science. 262:740–744. [DOI] [PubMed] [Google Scholar]
- 2.Kort, A. A., M. C. Capogrossi, and E. G. Lakatta. 1985. Frequency, amplitude, and propagation velocity of spontaneous Ca2+-dependent contractile waves in intact adult rat cardiac muscle and isolated myocytes. Circ. Res. 57:844–855. [DOI] [PubMed] [Google Scholar]
- 3.Wier, W. G., M. B. Cannell, J. R. Berlin, E. Marban, and W. J. Lederer. 1987. Cellular and subcellular heterogeneity of [Ca2+]i in single heart cells revealed by Fura-2. Science. 235:325–328. [DOI] [PubMed] [Google Scholar]
- 4.Takamatsu, T., and W. G. Wier. 1990. Ca2+ waves in mammalian heart: quantification of origin, magnitude, waveform, and velocity. FASEB J. 4:1519–1525. [DOI] [PubMed] [Google Scholar]
- 5.Cheng, H., M. R. Lederer, W. J. Lederer, and M. B. Cannell. 1996. Ca2+ sparks and [Ca2+]i waves in cardiac myocytes. Am. J. Physiol. 270:C148–C159. [DOI] [PubMed] [Google Scholar]
- 6.Stern, M. D., M. C. Capogrossi, and E. G. Lakatta. 1988. Spontaneous Ca2+ release from the sarcoplasmic reticulum in myocardial cells: mechanisms and consequences. Cell Calcium. 9:247–256. [DOI] [PubMed] [Google Scholar]
- 7.Diaz, M. E., A. W. Trafford, S. C. O'Neill, and D. A. Eisner. 1997. Measurement of sarcoplasmic reticulum Ca2+ content and sarcolemmal Ca2+ fluxes in isolated rat ventricular myocytes during spontaneous Ca2+ release. J. Physiol. 501:3–16. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8.Lederer, W. J., and R. W. Tsien. 1976. Transient inward current underlying arrhythmogenic effects of cardiotonic steroids in Purkinje fibres. J. Physiol. 263:73–100. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9.Lukyanenko, V., S. Subramanian, I. Györke, T. F. Wiesner, and S. Györke. 1999. The role of luminal Ca2+ in the generation of Ca2+ waves in rat ventricular myocytes. J. Physiol. 518:173–186. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.Lukyanenko, V., and S. Györke. 1999. Ca2+ sparks and Ca2+ waves in saponin-permeabilized rat ventricular myocytes. J. Physiol. 521:575–585. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Loughrey, C. M., K. E. MacEachern, P. Neary, and G. L. Smith. 2002. The relationship between intracellular [Ca2+] and Ca2+ wave characteristics in permeabilised cardiomyocytes from the rabbit. J. Physiol. 543:859–870. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.Kaneko, T., H. Tanaka, M. Oyamada, S. Kawata, and T. Takamatsu. 2000. Three distinct types of Ca2+ waves in Langendorff-perfused rat heart revealed by real-time confocal microscopy. Circ. Res. 86:1093–1099. [DOI] [PubMed] [Google Scholar]
- 13.Izu, L. T., W. G. Wier, and C. W. Balke. 2001. Evolution of cardiac calcium waves from stochastic calcium sparks. Biophys. J. 80:103–120. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14.Keizer, J., and G. D. Smith. 1998. Spark-to-wave transition: saltatory transmission of calcium waves in cardiac myocytes. Biophys. Chem. 72:87–100. [DOI] [PubMed] [Google Scholar]
- 15.Subramanian, S., S. Viatchenko-Karpinski, V. Lukyanenko, S. Györke, and T. F. Wiesner. 2001. Underlying mechanisms of symmetric calcium wave propagation in rat ventricular myocytes. Biophys. J. 80:1–11. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16.Neary, P., A. M. Duncan, S. M. Cobbe, and G. L. Smith. 2002. Assessment of sarcoplasmic reticulum Ca2+ flux pathways in cardiomyocytes from rabbits with infarct-induced left-ventricular dysfunction. Pflugers Arch. 444:360–371. [DOI] [PubMed] [Google Scholar]
- 17.Loughrey, C. M., K. E. MacEachern, J. Cooper, and G. L. Smith. 2003. Measurement of the dissociation constant of Fluo-3 for Ca2+ in isolated rabbit cardiomyocytes using Ca2+ wave characteristics. Cell Calcium. 34:1–9. [DOI] [PubMed] [Google Scholar]
- 18.Wu, X., and D. M. Bers. 2006. Sarcoplasmic reticulum and nuclear envelope are one highly interconnected Ca2+ store throughout cardiac myocyte. Circ. Res. 99:283–291. [DOI] [PubMed] [Google Scholar]
- 19.Swietach, P., K. W. Spitzer, and R. D. Vaughan-Jones. 2007. Effective calcium mobility inside the sarcoplasmic reticulum is low. 2007 Biophysical Society Meeting Abstracts. Biophys. J. 94a. (Abstr.). 1220-Pos.
- 20.Shannon, T. R., K. S. Ginsburg, and D. M. Bers. 2000. Reverse mode of the sarcoplasmic reticulum calcium pump and load-dependent cytosolic calcium decline in voltage-clamped cardiac ventricular myocytes. Biophys. J. 78:322–333. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21.Hove-Madsen, L., and D. M. Bers. 1993. Passive Ca2+ buffering and SR Ca2+ uptake in permeabilized rabbit ventricular myocytes. Am. J. Physiol. 264:C677–C686. [DOI] [PubMed] [Google Scholar]
- 22.Shannon, T. R., K. S. Ginsburg, and D. M. Bers. 2002. Quantitative assessment of the SR Ca2+ leak-load relationship. Circ. Res. 91:594–600. [DOI] [PubMed] [Google Scholar]
- 23.Maier, L. S., and D. M. Bers. 2002. Calcium, calmodulin, and calcium-calmodulin kinase II: heartbeat to heartbeat and beyond. J. Mol. Cell. Cardiol. 34:919–939. [DOI] [PubMed] [Google Scholar]
- 24.Kubalova, Z., I. Györke, R. Terentyeva, S. Viatchenko-Karpinski, D. Terentyev, S. C. Williams, and S. Györke. 2004. Modulation of cytosolic and intra-sarcoplasmic reticulum Ca2+ waves by calsequestrin in rat cardiac myocytes. J. Physiol. 561:515–524. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25.Kubalova, Z., D. Terentyev, S. Viatchenko-Karpinski, Y. Nishijima, I. Györke, R. Terentyeva, D. N. da Cunha, A. Sridhar, D. S. Feldman, R. L. Hamlin, C. A. Carnes, and S. Györke. 2005. Abnormal intrastore calcium signaling in chronic heart failure. Proc. Natl. Acad. Sci. USA. 102:14104–14109. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26.Currie, S., C. M. Loughrey, M. A. Craig, and G. L. Smith. 2004. Calcium/calmodulin-dependent protein kinase IIdelta associates with the ryanodine receptor complex and regulates channel function in rabbit heart. Biochem. J. 377:357–366. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27.Duchen, M. R., A. Leyssens, and M. Crompton. 1998. Transient mitochondrial depolarizations reflect focal sarcoplasmic reticular calcium release in single rat cardiomyocytes. J. Cell Biol. 142:975–988. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28.Maack, C., S. Cortassa, M. A. Aon, A. N. Ganesan, T. Liu, and B. O'Rourke. 2006. Elevated cytosolic Na+ decreases mitochondrial Ca2+ uptake during excitation-contraction coupling and impairs energetic adaptation in cardiac myocytes. Circ. Res. 99:172–182. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29.Bassani, R. A., and D. M. Bers. 1995. Rate of diastolic Ca2+ release from the sarcoplasmic reticulum of intact rabbit and rat ventricular myocytes. Biophys. J. 68:2015–2022. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30.Smith, G. D., J. E. Keizer, M. D. Stern, W. J. Lederer, and H. Cheng. 1998. A simple numerical model of calcium spark formation and detection in cardiac myocytes. Biophys. J. 75:15–32. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31.Sipido, K. R., and W. G. Wier. 1991. Flux of Ca2+ across the sarcoplasmic reticulum of guinea-pig cardiac cells during excitation-contraction coupling. J. Physiol. 435:605–630. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32.Berlin, J. R., J. W. Bassani, and D. M. Bers. 1994. Intrinsic cytosolic Ca2+ buffering properties of single rat cardiac myocytes. Biophys. J. 67:1775–1787. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33.Shannon, T. R., K. S. Ginsburg, and D. M. Bers. 2000. Potentiation of fractional sarcoplasmic reticulum Ca2+ release by total and free intra-sarcoplasmic reticulum Ca2+ concentration. Biophys. J. 78:334–343. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 34.Greenstein, J. L., and R. L. Winslow. 2002. An integrative model of the cardiac ventricular myocyte incorporating local control of Ca2+ release. Biophys. J. 83:2918–2945. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 35.Luo, C. H., and Y. Rudy. 1994. A dynamic model of the cardiac ventricular action potential. II. Afterdepolarizations, triggered activity, and potentiation. Circ. Res. 74:1097–1113. [DOI] [PubMed] [Google Scholar]
- 36.Snyder, S. M., B. M. Palmer, and R. L. Moore. 2000. A mathematical model of cardiocyte Ca2+ dynamics with a novel representation of sarcoplasmic reticular Ca2+ control. Biophys. J. 79:94–115. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 37.Trafford, A. W., P. Lipp, S. C. O'Neill, E. Niggli, and D. A. Eisner. 1995. Propagating Ca2+ waves initiated by local caffeine application in rat ventricular myocytes. J. Physiol. 489:319–326. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 38.Stern, M. D. 1992. Theory of excitation-contraction coupling in cardiac muscle. Biophys. J. 63:497–517. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 39.Györke, I., and S. Györke. 1998. Regulation of the cardiac ryanodine receptor channel by luminal Ca2+ involves luminal Ca2+ sensing sites. Biophys. J. 75:2801–2810. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 40.Györke, I., N. Hester, L. R. Jones, and S. Györke. 2004. The role of calsequestrin, triadin, and junctin in conferring cardiac ryanodine receptor responsiveness to luminal calcium. Biophys. J. 86:2121–2128. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 41.O'Neill, S. C., L. Miller, R. Hinch, and D. A. Eisner. 2004. Interplay between SERCA and sarcolemmal Ca2+ efflux pathways controls spontaneous release of Ca2+ from the sarcoplasmic reticulum in rat ventricular myocytes. J. Physiol. 559:121–128. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 42.Keller, M., J. P. Kao, M. Egger, and E. Niggli. 2007. Ca2+ waves driven by “sensitization” wave-fronts. Cardiovasc. Res. 74:39–45. [DOI] [PubMed] [Google Scholar]
- 43.Mattiazzi, A., L. Hove-Madsen, and D. M. Bers. 1994. Protein kinase inhibitors reduce SR Ca2+ transport in permeabilized cardiac myocytes. Am. J. Physiol. 267:H812–H820. [DOI] [PubMed] [Google Scholar]
- 44.DeSantiago, J., L. S. Maier, and D. M. Bers. 2002. Frequency-dependent acceleration of relaxation in the heart depends on CaMKII, but not phospholamban. J. Mol. Cell. Cardiol. 34:975–984. [DOI] [PubMed] [Google Scholar]
- 45.Valverde, C. A., C. Mundiña-Weilenmann, M. Said, P. Ferrero, L. Vittone, M. Salas, J. Palomeque, M. V. Petroff, and A. Mattiazzi. 2005. Frequency-dependent acceleration of relaxation in mammalian heart: a property not relying on phospholamban and SERCA2a phosphorylation. J. Physiol. 562:801–813. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 46.Witcher, D. R., R. J. Kovacs, H. Schulman, D. C. Cefali, and L. R. Jones. 1991. Unique phosphorylation site on the cardiac ryanodine receptor regulates calcium channel activity. J. Biol. Chem. 266:11144–11152. [PubMed] [Google Scholar]
- 47.Lokuta, A. J., T. B. Rogers, W. J. Lederer, and H. H. Valdivia. 1995. Modulation of cardiac ryanodine receptors of swine and rabbit by a phosphorylation-dephosphorylation mechanism. J. Physiol. 487:609–622. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 48.Maier, L. S., T. Zhang, L. Chen, J. DeSantiago, J. H. Brown, and D. M. Bers. 2003. Transgenic CaMKIIdeltaC overexpression uniquely alters cardiac myocyte Ca2+ handling: reduced SR Ca2+ load and activated SR Ca2+ release. Circ. Res. 92:904–911. [DOI] [PubMed] [Google Scholar]
- 49.Zhang, T., L. S. Maier, N. D. Dalton, S. Miyamoto, J. Ross, D. M. Bers, and J. H. Brown. 2003. The deltaC isoform of CaMKII is activated in cardiac hypertrophy and induces dilated cardiomyopathy and heart failure. Circ. Res. 92:912–919. [DOI] [PubMed] [Google Scholar]
- 50.Ai, X., J. W. Curran, T. R. Shannon, D. M. Bers, and S. M. Pogwizd. 2005. Ca2+/calmodulin-dependent protein kinase modulates cardiac ryanodine receptor phosphorylation and sarcoplasmic reticulum Ca2+ leak in heart failure. Circ. Res. 97:1314–1322. [DOI] [PubMed] [Google Scholar]
- 51.Neumann, J., T. Eschenhagen, L. R. Jones, B. Linck, W. Schmitz, H. Scholz, and N. Zimmermann. 1997. Increased expression of cardiac phosphatases in patients with end-stage heart failure. J. Mol. Cell. Cardiol. 29:265–272. [DOI] [PubMed] [Google Scholar]
- 52.Currie, S., and G. L. Smith. 1999. Calcium/calmodulin-dependent protein kinase II activity is increased in sarcoplasmic reticulum from coronary artery ligated rabbit hearts. FEBS Lett. 459:244–248. [DOI] [PubMed] [Google Scholar]
- 53.Shannon, T. R., K. S. Ginsburg, and D. M. Bers. 1998. Reverse mode of the sarcoplasmic reticulum Ca2+ pump limits sarcoplasmic reticulum Ca2+ uptake in permeabilised and voltage clamped myocytes. Ann. N. Y. Acad. Sci. 853:350–352. [DOI] [PubMed] [Google Scholar]
- 54.Shannon, T. R., and D. M. Bers. 1997. Assessment of intra-SR free [Ca2+] and buffering in rat heart. Biophys. J. 73:1524–1531. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 55.Page, E., L. P. McCallister, and B. Power. 1971. Sterological measurements of cardiac ultrastructures implicated in excitation-contraction coupling. Proc. Natl. Acad. Sci. USA. 68:1465–1466. [DOI] [PMC free article] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.


















