Evaluation of Antidepressant-Like Activity of Novel Water-Soluble Curcumin Formulations and St. John's Wort in Behavioral Paradigms of Despair
Why this work is in the frame
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Bibliographic record
Abstract
BACKGROUND: Curcumin is the active principle of Curcuma longa, one of the widely used components in the traditional system of medicine in India. Despite its efficacy in experimental studies aiming at neuronal disorders like depression, curcu-min's poor water solubility challenges the production of therapeutic formulations. This study investigates the antidepressant-like activity of novel water-soluble curcumin formulations, dispensed in three different concentrations. Further, the study comparatively evaluates St. John's wort (SJW), another herbal preparation. METHODS: These compounds were evaluated in the forced swimming test in mice, and the corresponding changes in the neurotransmitter levels were measured. RESULTS: Three water-soluble curcumin formulations, C-5, C-20 and C-50 (50-200 mg/kg p.o.) decreased the immobility period, and increased serotonin and dopamine levels in the brain tissues. A subeffective dose (50 mg/kg) of these formulations enhanced the antidepressant-like effect of classical antidepressants with varied mechanisms of action. In addition, an SJW dose of 25 mg/kg showed a significant antidepressant-like effect in all the behavioral studies and also significantly increased brain neurotransmitter levels, especially that of serotonin. The effects produced by C-5 were comparable with those of SJW and fluoxetine, respectively. CONCLUSION: In all these observations, the water-soluble formulations showed a significant antidepressant-like effect, including enhancement of neurotransmitter levels as compared to the similar dose of a conventional curcumin preparation. Thus, these formulations may be used as a novel treatment option in the management of mental depression.
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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 | 0.000 |
| 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 it