Effects of chronic PGHS-2 inhibition on PGHS-dependent vasoconstriction in the aged female rat
Bibliographic record
Abstract
OBJECTIVE: In menopause, aging and decreased estrogen levels are risk factors contributing to impaired vascular function. Previously, in a young ovariectomized rat model, we demonstrated an increase in prostaglandin H synthase (PGHS)-dependent vasoconstriction that could be prevented by estrogen replacement. Subsequently, we found that, with aging, estrogen acts through suppression of the PGHS-2 isoform. HYPOTHESIS: Chronic PGHS-2 inhibition reduces PGHS-dependent vasoconstriction in aging. METHODS: Ovariectomized, aged (12 months) Sprague-Dawley rats were treated with a placebo (n=7), or the PGHS-2 inhibitor (NS-398, s.c. 3 mg/kg) for 1 week (n=6) or 4 weeks (n=6). Methacholine (endothelium-dependent dilator) and phenylephrine (adrenergic constrictor) were used to assess vascular function in the absence or presence of the nonselective PGHS inhibitor, meclofenamate (1 micromol/l) or the specific PGHS-2 inhibitor NS-398 (10 micromol/l). RESULTS: One week of chronic PGHS-2 inhibition abolished a PGHS-dependent shift in methacholine-induced relaxation, while modulation was still observed in phenylephrine constriction. Surprisingly, 4 weeks of PGHS-2 inhibition enhanced PGHS-dependent modulation of vasoconstriction (P<0.05). PGH2/thromboxane inhibition (U-51605, 50 micromol/l) mimicked the results observed with PGHS inhibition among the groups. PGHS-2 expression increased with chronic PGHS-2 inhibition compared to control (P<0.05). CONCLUSIONS: Our data indicate a paradoxical increase in PGHS-dependent vasoconstriction and PGHS-2 expression with prolonged inhibition of PGHS-2 activity. Hence, inhibitors of PGHS-2 activity may not be beneficial in counteracting the vascular dysfunction seen with aging and menopause.
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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 | 0.008 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| 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) | 0.000 | 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".