Involvement of Phosphoinositide 3-Kinase γ in Angiogenesis and Healing of Experimental Myocardial Infarction in Mice
Bibliographic record
Abstract
RATIONALE: Phosphoinositide 3-kinase (PI3K)gamma is expressed in hematopoietic cells, endothelial cells (ECs), and cardiomyocytes and regulates different cellular functions relevant to inflammation, tissue remodeling and cicatrization. Recently, PI3Kgamma inhibitors have been indicated for the treatment of chronic inflammatory/autoimmune diseases and atherosclerosis. OBJECTIVE: We aimed to determine PI3Kgamma contribution to the angiogenic capacity of ECs and the effect of PI3Kgamma inhibition on healing of myocardial infarction (MI). METHODS AND RESULTS: Human umbilical ECs were treated with a selective PI3Kgamma inhibitor, AS605240, or a pan-phosphoinositide 3-kinases inhibitor, LY294002. Both inhibitory treatments and small interfering RNA-mediated PI3Kgamma knockdown strongly impaired ECs angiogenic capacity, because of suppression of the PI3K/Akt and mitogen-activated protein kinase pathways. Constitutive activation of Akt rescued the angiogenic defect. Reparative angiogenesis was studied in vivo in a model of MI. AS605240 did not affect MI-induced PI3Kgamma upregulation, whereas it suppressed Akt activation and downstream signaling. AS605240 strongly reduced inflammation, enhanced cardiomyocyte apoptosis, and impaired survival and proliferation of ECs in peri-infarct zone, which resulted in defective reparative neovascularization. As a consequence, AS605240-treated MI hearts showed increased infarct size and impaired recovery of left ventricular function. Similarly, PI3Kgamma-deficient mice showed impaired reparative neovascularization, enhanced cardiomyocyte apoptosis and marked deterioration of cardiac function following MI. Mice expressing catalytically inactive PI3Kgamma also failed to mount a proper neovascularization, although cardiac dysfunction was similar to wild-type controls. CONCLUSIONS: PI3Kgamma expression and catalytic activity are involved at different levels in reparative neovascularization and healing of MI.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".