Cardiac Sarcoplasmic Reticulum Calcium Release and Load Are Enhanced by Subcellular cAMP Elevations in PI3Kγ-Deficient Mice
Bibliographic record
Abstract
We recently showed that phosphoinositide-3-kinase-gamma-deficient (PI3Kgamma-/-) mice have increased cardiac contractility without changes in heart size compared with control mice (ie, PI3Kgamma+/+ or PI3Kgamma+/-). In this study, we show that PI3Kgamma-/- cardiomyocytes have elevated Ca2+ transient amplitudes with abbreviated decay kinetics compared with control under field-stimulation and voltage-clamp conditions. When Ca2+ transients were eliminated with high Ca2+ buffering, L-type Ca2+ currents (I(Ca,L)), K+ currents, and action potential duration (APD) were not different between the groups, whereas, in the presence of Ca2+ transients, Ca2+-dependent phase of I(Ca,L) inactivation was abbreviated and APD at 90% repolarization was prolonged in PI3Kgamma-/- mice. Excitation-contraction coupling (ECC) gain, sarcoplasmic reticulum (SR) Ca2+ load, and SR Ca(2+) release fluxes measured as Ca2+ spikes, were also increased in PI3Kgamma-/- cardiomyocytes without detectable changes in Ca2+ spikes kinetics. The cAMP inhibitor Rp-cAMP eliminated enhanced ECC and SR Ca2+ load in PI3Kgamma-/- without effects in control myocytes. On the other hand, the beta-adrenergic receptor agonist isoproterenol increased I(Ca,L) and Ca2+ transient equally by approximately 2-fold in both PI3Kgamma-/- and PI3Kgamma+/- cardiomyocytes. Our results establish that PI3Kgamma reduces cardiac contractility in a highly compartmentalized manner by inhibiting cAMP-mediated SR Ca2+ loading without directly affecting other major modulators of ECC, such as AP and I(Ca,L).
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".