Histopathological Changes of the Effect of Ketotifen in a Rat Model of Nephropathy
Bibliographic record
Abstract
Acute kidney injury (AKI) remains a common clinical problem with serious consequences and unsatisfactory therapeutic options. Mast cells are distributed in the kidneys, have a role in the inflammation. Thus, a model of Acute kidney injury of rhabdomyolysis induced by glycerol was done in order to investigate the possible healing effect of Ketotifen, a selective stabilizer of mast cells and a histamine H1 receptor antagonist, in rats. Methods: Wister rats (250-350 g) were used. Renal failure was produced by rats deprived of water for 24 hours followed by i.m. injection with 50% (vol/vol) glycerol (10 ml/kg of body weight). After 30 min, Ketotifen was used at a dose of 2 mg/kg. Rats received treatment for 5 consecutive days. On the 6th day, the rats were sacrificed; blood was obtained for blood urea and creatinine assays. The kidney tissue was used for the determination the histological injury. Results: The levels of urea and creatinine were decreased significantly (
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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 | 0.001 |
| 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 | 0.001 | 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".