Licofelone Attenuates LPS-induced Depressive-like Behavior in Mice: A Possible Role for Nitric Oxide
Bibliographic record
Abstract
PURPOSE: Licofelone, a dual cyclooxygenase/5-lipoxygenase inhibitor, possesses antioxidant, antiapoptotic, neuroprotective, and anti-inflammatory properties. The aim of the present study was to investigate the effect of licofelone on lipopolysaccharide (LPS)-induced depression in a mouse model and also a possible role for nitric oxide (NO). METHODS: To elucidate the role of NO on this effect of licofelone (5 and 20 mg/kg, i.p.), L-NAME, a non-specific NO synthase (NOS) inhibitor; aminoguanidine (AG), a specific inducible NOS (iNOS) inhibitor; 7-nitroindazole (7-NI) a preferential neuronal NOS inhibitor (nNOS) and; L-arginine (L-Arg), as a NO donor, were used. The animal's behaviors were evaluated employing forced swimming test (FST), tail suspension test (TST) and open field test (OFT). RESULTS: LPS (0.83 mg/kg, i.p.) induced depressive-like behavior increasing immobility time in FST and TST. Conversely, licofelone (20 mg/kg i.p.) reversed the depressive effect of LPS and lowered the immobility time in FST and TST. On the other hand, pretreatment with L-Arg also reversed the antidepressant-like effect of licofelone (20 mg/kg) in FST and TST. On the other hand, L-NAME (10 and 30 mg/kg), AG (50 and 100 mg/kg) and 7-NI (60 mg/kg) could potentiate licofelone (5 mg/kg) and lowered the immobility duration. CONCLUSIONS: NO down-regulation possibly through iNOS and nNOS inhibition may involve in the antidepressant property of licofelone. This article is open to POST-PUBLICATION REVIEW. Registered readers (see "For Readers") may comment by clicking on ABSTRACT on the issue's contents page.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 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".