Key result
Simulations utilizing complete single-channel open and closed time distributions with correlations produced infrequent Ca2+ release events with fewer open RyRs compared to two-state Markov models.
Why the study?
It was less known how single-RyR gating properties define RyR group dynamics in an array of many channels in cardiac myocytes.
Common proxies like single-RyR open probability and mean open/closed times are poor predictors of SR Ca2+ release dynamics, and more complex multi-exponential models with OT/CT correlations better capture the limited recruitment of open RyRs.
Answers are grounded in this paper and cite their sources.
Current models may overestimate SR Ca2+ release events; leaves open whether correlation-inclusive distributions refine arrhythmia mechanisms in vivo.
In cardiac myocytes, clusters of type-2 ryanodine receptors (RyR2s) release Ca 2+ from the sarcoplasmic reticulum (SR) via a positive feedback mechanism where fluxed Ca 2+ activates nearby RyRs. While the general principles of this are understood, less is known about how single-RyR gating properties define the RyR group dynamics in an array of many channels. Here, we examine this using simulations with three models of RyR gating that have identical open probabilities. The commonly-used two-state Markov gating model produces frequent, large, and long Ca 2+ release events because the single exponential that defines its open time (OT) and closed time (CT) distributions reproduces the experimental data poorly. In contrast, simulations that utilize complete single-channel OT and CT distributions fit with multiple exponentials produce infrequent Ca 2+ release events with far fewer open RyRs. Moreover, when experimentally-measured correlations between single-channel OTs and CTs are included, Ca 2+ release events become even smaller. This occurs because the correlations produce a small but consistent bias against recruiting more RyRs to open during the middle of a Ca 2+ release event, between the initiation and termination phases (which are unaltered compared to the uncorrelated simulations). Beyond the effects of full OT and CT distributions and OT/CT correlations on SR Ca 2+ release, we also show that Ca 2+ release events can terminate spontaneously without any reduction in SR [Ca 2+ ] or physical coupling between RyRs when Ca 2+ flux is below a threshold value. This both supports and extends the pernicious attrition/induction decay hypothesis that SR Ca 2+ release events terminate below a threshold Ca 2+ flux. STATEMENT OF SIGNIFICANCE This work provides insights into RyR2-mediated Ca 2+ release by a cluster of RyRs interacting only via their fluxed Ca 2+ . It is shown that: 1) common proxies like the single-RyR open probability versus cytosolic [Ca 2+ ] curve and mean open or closed times are poor predictors of SR Ca 2+ release dynamics; 2) Ca 2+ release events can self-terminate below a flux threshold without any physical coupling between channels; 3) commonly-used two-state Markov gating models can produce qualitatively different Ca 2+ release events (larger and longer) compared to simulations where complete single-channel open and closed time distributions are used; 4) correlations between a RyR’s open times and previous closed duration (and vice versa) significantly limit Ca 2+ release by tamping down the number of open RyRs.
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Dirk Gillespie (2019) studied Cardiac myocyte Ca2+ release. Complete single-channel open and closed time distributions (multi-τ gating schemes) vs. Two-state Markov gating model was evaluated on Ca2+ release event dynamics. Simulations utilizing complete single-channel open and closed time distributions with correlations produced infrequent Ca2+ release events with fewer open RyRs compared to two-state Markov models.
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