Altered Heart Rate and Sinoatrial Node Function in Mice Lacking the cAMP Regulator Phosphoinositide 3-Kinase-γ
Bibliographic record
Abstract
Ablation of the enzyme phosphoinositide 3-kinase (PI3K)gamma (PI3Kgamma(-/-)) in mice increases cardiac contractility by elevating intracellular cAMP and enhancing sarcoplasmic reticulum Ca(2+) handling. Because cAMP is a critical determinant of heart rate, we investigated whether heart rate is altered in mice lacking PI3Kgamma. Heart rate was similar in anesthetized PI3Kgamma(-/-) and wild-type (PI3Kgamma(+/+)) mice. However, IP injection of atropine (1 mg/kg), propranolol (1 mg/kg), or both drugs in combination unmasked elevated heart rates in PI3Kgamma(-/-) mice, suggesting altered sinoatrial node (SAN) function. Indeed, spontaneous action potential frequency was approximately 35% greater in SAN myocytes isolated from PI3Kgamma(-/-) mice compared with PI3Kgamma(+/+) mice. These differences in action potential frequency were abolished by intracellular dialysis with the cAMP/protein kinase A antagonist Rp-cAMP but were unaffected by treatment with ryanodine to inhibit sarcoplasmic reticulum Ca(2+) release. Voltage-clamp experiments demonstrated that elevated action potential frequencies in PI3Kgamma(-/-) SAN myocytes were more strongly associated with cAMP-dependent increases in L-type Ca(2+) current (I(Ca,L)) than elevated hyperpolarization-activated current (I(f)). In contrast, I(Ca,L) was not increased in working atrial myocytes, suggesting distinct subcellular regulation of L-type Ca(2+) channels by PI3Kgamma in the SAN compared with the working myocardium. In summary, PI3Kgamma regulates heart rate by the cAMP-dependent modulation of SAN function. The effects of PI3Kgamma ablation in the SAN are unique from those in the working myocardium.
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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 | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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".