Effect of phosphatidylinositol 3-kinase-γ inhibitor CAY10505 in hypertension, and its associated vascular endothelium dysfunction in rats
Bibliographic record
Abstract
This study has been designed to investigate the role of phosphatidyl-inositol 3-kinase-γ (PI3Kγ) in deoxycorticosterone acetate salt (DOCA) hypertension induced vascular endothelium dysfunction. Wistar rats were uninephrectomised and DOCA (40 mg·(kg body mass)(-1), subcutaneous injection) was administered twice weekly for 6 weeks to produce hypertension. Rats with mean arterial blood pressure ≥ 140 mm Hg (1 mm Hg = 133.322 Pa) were selected as hypertensive. Vascular endothelium dysfunction was assessed in terms of attenuation of acetylcholine-induced endothelium-dependent relaxation (isolated aortic ring preparation), decrease in serum nitrate and (or) nitrite level, as well as reduced level of glutathione and disruption of integrity of vascular endothelium (histopathology). Five weeks of DOCA administration were followed by 7 days of daily administration of PI3Kγ inhibitor (5-[[5-(4-fluorophenyl)-2-furanyl]methylene]-2,4-thiazolidinedione (CAY10505), 0.6 mg·kg(-1), per os (p.o.)), atorvastatin (30 mg·kg(-1), p.o.), and losartan (25 mg·kg(-1), p.o.) (positive control of hypertension), which significantly improved acetylcholine-induced endothelium dependent relaxation, serum nitrate and (or) nitrite level, glutathione level, and the vascular endothelial lining in hypertensive rats.Therefore, it may be concluded that CAY10505, a specific inhibitor of PI3Kγ, improves hypertension-associated vascular endothelial dysfunction. Thus, inhibition of PI3Kγ might be a useful approach in the therapeutics of vascular endothelium dysfunction.
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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) | 0.001 | 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".