Cyclo-Oxygenase-2 Knockout Genotype in Mice Is Associated With Blunted Angiotensin II-Induced Oxidative Stress and Hypertension
Bibliographic record
Abstract
BACKGROUND: Inflammation and oxidative stress have been identified as integral parts in the pathogenesis of hypertension. Cyclo-oxygenase-2 which could elicit inflammation and free radicals generation appears to be a key enzyme in hypertension. Cyclo-oxygenase-2 expression and oxidative stress in cardiovascular tissues are increased in the angiotensin II model. METHODS: Cyclo-oxygenase-1 and cyclo-oxygenase-2 deficient mice and their cultured aortic smooth muscle cells were used to investigate the role of these enzymes in angiotensin II induced superoxide production and hypertension. RESULTS: At resting state, the superoxide production in aortic and cardiac tissues was lower in cyclo-oxygenase-2 deficient than in the wild type or in cyclo-oxygenase-1 deficient mice. Chronic angiotensin II infusion increased the superoxide production in these tissues from both cyclo-oxygenase-deficient and wild-type mice whereas the level in cyclo-oxygenase-2 deficient mice was equivalent to the basal level in wild-type mice. The hypertensive effect of angiotensin II was attenuated in cyclo-oxygenase-2 deficient mice. Aspirin treatment reduced the basal superoxide production and blunted the oxidative and hypertensive effect of angiotensin II in wild type and cyclo-oxygenase-1 deficient mice whereas it lost completely its antioxidative property in angiotensin II-treated aortic smooth muscle cells isolated from cyclo-oxygenase-2 deficient mice. CONCLUSIONS: Cyclo-oxygenase-2 pathway plays a major role in the superoxide generation as well as in the angiotensin II-induced oxidative stress and blood pressure. Cyclo-oxygenase-1 activity didn't show any influence on these parameters. These results suggest that cyclo-oxygenase-2 is involved in the pathogenesis of hypertension.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 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".