Comparative pharmacokinetic profile of cimicoxib in dogs and cats after IV administration
Bibliographic record
Abstract
Cimicoxib is a selective COX-2 inhibitor (coxib) registered for the treatment of pain and inflammation in dogs. Pharmacokinetics of some coxibs have been described in dogs and cats. In cats, total body clearance values are lower and terminal half-lives of the coxibs are longer than those in dogs. The aim of this work was to evaluate if this is also the case for cimicoxib. For this purpose, blood pharmacokinetics and urinary excretion after IV administration were compared between these species. The in vitro metabolism of cimicoxib was also evaluated using canine and feline microsomes. In canine and feline microsomes, the formation rate of demethyl-cimicoxib, a phase 1 metabolite, was decreased in presence of quinidine, a specific human cytochrome P450 (CYP)2D6 inhibitor. IC50 values were 1.6 μM and 0.056 μM with canine and feline microsomes, respectively. As quinidine was about 30 times more potent in feline microsomes, the affinity of cimicoxib to the enzyme was considered to be about 30 times lower than that in canine microsomes. Total body clearance (ClB) of cimicoxib, was 0.50 L/h kg in dogs and 0.14 L/h kg in cats (P < 0.01) and terminal half-life, T½λz, was 1.92 and 5.25 h, respectively (P < 0.01). Dose eliminated in urine was 12.2% in dogs and 3.12% in cats (P < 0.01). Conjugated demethyl-cimicoxib represented 93.7% of this amount in dogs and 67.5% in cats. Thus cimicoxib, like other veterinary coxibs, was eliminated more slowly in cats. Both CYP2D15 (the canine ortholog of CYP2D6) and UDP-glucuronyltransferase enzyme systems have reduced ability to produce metabolites of cimicoxib in cats.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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 | 0.000 |
| 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".