PI3Kγ Is Required for PDE4, not PDE3, Activity in Subcellular Microdomains Containing the Sarcoplasmic Reticular Calcium ATPase in Cardiomyocytes
Bibliographic record
Abstract
We recently showed that phosphoinositide-3-kinase-gamma-deficient (PI3Kgamma(-/-)) mice have enhanced cardiac contractility attributable to cAMP-dependent increases in sarcoplasmic reticulum (SR) Ca(2+) content and release but not L-type Ca(2+) current (I(Ca,L)), demonstrating PI3Kgamma locally regulates cAMP levels in cardiomyocytes. Because phosphodiesterases (PDEs) can contribute to cAMP compartmentation, we examined whether the PDE activity was altered by PI3Kgamma ablation. Selective inhibition of PDE3 or PDE4 in wild-type (WT) cardiomyocytes elevated Ca(2+) transients, SR Ca(2+) content, and phospholamban phosphorylation (PLN-PO(4)) by similar amounts to levels observed in untreated PI3Kgamma(-/-) myocytes. Combined PDE3 and PDE4 inhibition caused no further increases in SR function. By contrast, only PDE3 inhibition affected Ca(2+) transients, SR Ca(2+) loads, and PLN-PO(4) levels in PI3Kgamma(-/-) myocytes. On the other hand, inhibition of PDE3 or PDE4 alone did not affect I(Ca,L) in either PI3Kgamma(-/-) or WT cardiomyocytes, whereas simultaneous PDE3 and PDE4 inhibition elevated I(Ca,L) in both groups. Ryanodine receptor (RyR(2)) phosphorylation levels were not different in basal conditions between PI3Kgamma(-/-) and WT myocytes and increased in both groups with PDE inhibition. Our results establish that L-type Ca(2+) channels, RyR(2), and SR Ca(2+) pumps are regulated differently in distinct subcellular compartments by PDE3 and PDE4. In addition, the loss of PI3Kgamma selectively abolishes PDE4 activity, not PDE3, in subcellular compartments containing the SR Ca(2+)-ATPase but not RyR(2) or L-type Ca(2+) channels.
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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 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".