Evaluation of the in vivo and in vitro anti-inflammatory activity of a new hybrid NSAID tetrahydropyran derivative
Bibliographic record
Abstract
Evaluate the anti-inflammatory activity in vivo and in vitro of cis-(±)-acetate of 4-chloro-6-(naphtalene-1-yl)-tetrahydro-2H-pyran-2-yl) methyl 2-(2-(2,6-diclorofenylamine) phenyl (LS19). Male Swiss mice were analyzed in the paw edema, ear edema, and air pouch tests, and in vitro COX inhibition, cytotoxicity evaluation, and cytokine and nitric oxide determination tests. The compound showed effect on the carrageenan- and bradykinin-induced paw edema and capsaicin-induced ear edema tests. In addition, the compound was able to inhibit leukocyte migration to decrease the levels of the pro-inflammatory cytokines tumor necrosis factor α (TNF-α) and interleukin 1β (IL-1β) and to increase the levels of the anti-inflammatory cytokine IL-10. The compound was also able to reduce levels of TNF-α, IL-6, and nitric oxide in the RAW 264.7 cell line and to inhibit COX activity. LS19 did not induce any significant changes in the viability of RAW 264.7 cells, demonstrating safety for these cell lines. The compound LS19 did not reduce the production of gastric mucus and induced a smaller increase in the extent of gastric lesions than that developed by the administration of diclofenac. In summary, the new compound proved to be safer and it had additional mechanisms compared to diclofenac.
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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) | 0.000 | 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) | 0.001 | 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".