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Fig 1.

The key components of the model.

Green arrows are for stimulatory and red circles are for inhibitory pathways. In the wild-type cells, bursting is paced by metabolic oscillations acting on K(ATP) channels. In the KO cells, genetic disruption of K(ATP) channels leads to increased Kir2.1 current, which now drives bursting.

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Fig 1 Expand

Fig 2.

The Kir2.1 channel conductance depends on voltage and the cAMP concentration.

(A) Voltage-dependent blockade of the Kir2.1 current. (B) cAMP-dependent activation of the Kir2.1 current.

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Fig 2 Expand

Fig 3.

Fura-2 Ca2+ measurements from wild-type (A) and SUR1-/- islets (B) at 11 mM glucose. The change in Ca2+ is expressed as the Fura-2 340/380 ratio. (C) Comparison of I-V curves from wild-type (black) and SUR1-/- (red) β-cells. The wild-type recording is representative of n = 6 islets isolated from 4 mice. The SUR1-/- recording is representative of n = 8 islets isolated from 5 mice. The SUR1-/- islets exhibited significant inward rectification at more negative potentials compared to cells from wild-type islets.

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Fig 3 Expand

Fig 4.

Bursting in wild-type model cells.

Slow glycolytic oscillations drive bursting through actions on the K(ATP) current. (A) cAMP declines at the start of each Ca2+ plateau. (B) K(ATP) channel conductance. (C-D) Adenine nucleotide concentrations in the cytosol. (E) Slow glycolytic oscillations are reflected in the FBP time course.

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Fig 5.

Bursting in the model KO cells, where K(ATP) current is replaced with Kir2.1 current.

Glycolytic oscillations drive bursting through a cAMP-dependent pathway. (A) Ca2+ and cAMP concentrations oscillate in anti-phase. (B) Conductance of the Kir2.1 current, time averaged over a window of 6 s to remove fast variations and highlight the cAMP-dependent slow dynamics. (C) AMPc oscillations contribute to the production of cAMP oscillations. (D) ATPc oscillates due to oscillations in glycolysis. (E) FBP is the product of the PFK enzyme that is responsible for glycolytic oscillations. For this simulation, the glucokinase reaction rate was increased from 0.09 μM/ms to 0.14 μM/ms and kFBP was increased from 0.8 to 0.95.

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Fig 6.

In the model KO cells, bursting is driven by the Kir2.1 current, which is regulated by voltage and the cAMP concentration.

(A) Mean V and c during a burst. Voltage is averaged over each spike. (B) The cAMP and cytosolic AMP concentrations. (C) Dynamics of the Kir2.1 channel activation (c) and inactivation (k). (D) Kir2.1 conductance during a burst.

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Fig 6 Expand

Fig 7.

Fura-2 Ca2+ measurements of islets in 11 mM glucose and, as indicated, 50 μM of the membrane permeable 8-Br-cAMP.

(A) Ca2+ oscillations in wild-type islets persist with little or no change upon application of 8-Br-cAMP. Representative of 10 islets. (B) Ca2+ oscillations in SUR1-/- islets are terminated by 8-Br-cAMP, and Ca2+ is at a low level. Representative of 9 islets.

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Fig 8.

Glycolytic oscillations drive bursting in the model KO cell.

(A) c (black) oscillates reflecting bursting electrical activity, while AMPc oscillates (blue) reflecting glycolytic oscillations. (B) Bifurcation diagram of the fast subsystem, with c as bifurcation parameter. HB = Hopf bifurcation, SN = saddle-node bifurcation, SNIC = saddle-node on invariant circle bifurcation. Solid and dashed curves represent stable and unstable steady states, respectively, while bold solid and bold dashed curves represent stable and unstable limit cycles, respectively. (C) The burst trajectory projected onto the c-V plane. (D) Fast/slow analysis of bursting, with the burst trajectory (red) and c curve superimposed onto the fast-subsystem bifurcation diagram. The c curve is shown for AMPc at its minimum (dashed magenta) and maximum (dashed green) during a burst.

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Fig 9.

The model KO cell can produce bursting with upregulation of a constant-conductance (leak) K+ current and a K(Ca) conductance: gleak = 32.5 pS, gK(Ca) = 90 pS.

(A) Negative feedback of c (black) on the membrane potential and slow cer (blue) oscillations drive bursting. (B) The fast-subsystem bifurcation diagram exhibits an interval of bistability between the saddle-node bifurcation SN2 and the homoclinic bifurcation HC. (C) A projection of the burst trajectory. (D) Fast/slow analysis, with the burst trajectory (red) and the cer nullcline (magenta) superimposed on the fast-subsystem bifurcation diagram. The trajectory moves leftward during the silent phase and rightward during the active phase.

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Fig 10.

Distinct model predictions of the effects of partial inhibition of SERCA pumps with thapsigargin distinguishes the two models.

(A) In the model where bursting is driven by oscillations in the ER calcium concentration simulation of TG application reduces the cer (red) and terminates slow c oscillations (black). (B) In this model, the z-curve and cer nullcline are shifted far to the left and the periodic spiking branch is destabilized. The new stable periodic branch exhibits fast two-spike bursting at the value of cer at which the trajectory settles. (C) In the model in which bursting is driven by oscillations in the Kir2.1 current, bursting continues after TG application (black) because the AMPc oscillations (red) persist. (D) In this model, TG increases the amplitude of the AMPc oscillations, which shifts the c curve further to the right and increases the period of oscillations, but the burst mechanism is unaltered.

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Fig 11.

Fura-2 Ca2+ measurements of SUR1-/- and wild-type islets compared with model simulations.

In the experiments, the change in Ca2+ is expressed as the fura-2 340/380 fluorescence ratio. (A) In the Kir2.1 model, the parameter kSERCA is reduced by a factor of 4 to mimic application of the SERCA pump blocker thapsigargin (TG). (B) Fura-2 Ca2+ measurements from 3 representative SUR1-/- islets. Islets were maintained in 11 mM glucose, and the irreversible SERCA pump blocker TG was applied as indicated. Slow Ca2+ oscillations persisted after TG application in all 10 KO islets tested, as predicted by the model. (C) In the wild-type model, parameter kSERCA was reduced by a factor of 4 to simulate TG application. D) Fura-2 Ca2+ measurements from 3 representative wild-type islets maintained in 11 mM glucose. TG was applied as indicated. Slow Ca2+ oscillations were replaced by sustained elevation in Ca2+ reflecting continuous spiking or fast bursting in 13 of 14 wild-type islets tested, as predicted.

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Fig 11 Expand