Dipyrone ameliorates behavioural changes induced by unpredictable chronic mild stress: gender differences
Bibliographic record
Abstract
Purpose Antidepressant effects of analgesics have been investigate in both clinical and experimental studies. The purpose of this study was to investigate if the analgesic-antipyretic drug, dipyrone, also had antidepressant-like effects. Methods Depression-like effects were investigated in an unpredictable chronic mild stress (UCMS) model in both male and female mice. Cage changes, light-dark cycle reversal, cage tilting, wet floor, empty cage, foreign material on the floor and predator sounds were used to induce light stress at different times for six weeks. Dipyrone was administered intraperitoneally beginning from the third week. Splash, rota-rod (RR) and forced swimming (FST) tests were performed at the seventh week as behavioural tests to evaluate the antidepressant-like effects of dipyrone. Coat state score (CSS) and weights of animals were recorded at seventh weeks. Results were analyzed using one or two-way ANOVA followed by the Bonferonni post hoc test. Results Weight of UCMS-exposed mice did not change compared with controls; however, significant changes were observed in CSS in both sexes of stressed mice (p<0.05). RR latency decreased and immobility time enhanced in FST test in both sexes of stressed mice (p<0.05). Grooming behaviour was not different between the groups in female mice, but different in male mice in the splash test. Dipyrone did not produce a significant change in CSS in the UCMS-exposed group but reversed the latency time and immobility time to normal values in both sexes of mice and augmented the number of grooming behaviour only in stressed male mice. Conclusion These results indicate that dipyrone produce antidepressant-like effects to some symptoms of UCMS according to gender.
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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) | 0.003 | 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".