Cyclooxygenase‐2 inhibition ameliorates early renal injury in Han:SPRD‐ <i>cy</i> rats with inherited kidney disease
Bibliographic record
Abstract
Selective cyclooxygenase‐2 (COX‐2) inhibition appears to be renoprotective in some models of kidney disease, but not in others. The objective of our study was to examine the effects of COX‐2 inhibition in a rat model of chronic kidney disease. Four week old Han:SPRD‐cy rats were given either a standard rodent diet containing 3mg/kg body weight NS‐398 (a selective COX‐2 inhibitor) or a control diet with no drug for 7 weeks. Morphometric and immunohistochemical analyses revealed that NS‐398 fed animals had reduced renal fibrosis, macrophage infiltration, epithelial cell proliferation and oxidant injury, compared to control fed animals. COX‐2 inhibition did not alter the degree of cystic change or creatinine clearance. Kidney disease was associated with higher renal COX‐1 and ‐2 enzyme activities. Treatment with NS398 blunted this increase in enzyme activity only for COX‐2 (as indicated by 26% lowerrenal prostaglandin E2 (PGE2), 29% lower 6‐keto‐prostaglandin F 1α (6‐keto‐PGF1α) and 28% lower total prostanoid production). NS398 decreased urinary excretion of thromboxane B 2 , PGE 2 and 6‐keto‐PGF 1α . In conclusion, COX‐2 inhibition reduces the elevated renal COX‐2 activity, prostanoid production and attenuates renal injury in this rat model of chronic renal disease. (Supported by funding from the Natural Sciences and Engineering Research Council of Canada)
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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 | 0.001 | 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) | 0.002 | 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".