Heterocyclic Hydroxychalcone Promotes Anxiolytic and Anticonvulsant Effects through Gabaergic Neuromodulation in Wild Adult Zebrafish
Bibliographic record
Abstract
Benzodiazepines are drugs used to treat anxiety disorders and epilepsy due to their hypnotic, anxiolytic and anticonvulsant functions. But due to existing adverse effects such as decreased psychomotor activity and impaired memory, new and safer drugs are sought. Therefore, this study seeks to evaluate the anxiolytic and anticonvulsant action of chalcone (E)-3-(furan-2-yl)-1-(2-hydroxyphenyl)prop-2-en-1-one against wildadult zebrafish, and the mechanisms of action involved in such effects.The acute toxicity of chalcone was analyzed during 96 hours, and the anxiolytic behavior of fish treated with chalcone was evaluated in light/dark tests and open field tests (n=6 animals/group). In the test to evaluate the anticonvulsant effect of the sample, Pentylenetetrazole (PTZ) was used to induce seizures by immersion. Next, we investigated the mechanism of action with the γ-aminobutyric acid (GABA) antagonist and performed a molecular coupling study. The results showed that chalcone at doses of 4, 20, and 40 mg/kg was non-toxic and altered fish locomotion (****p<0.0001 vs. control). All analyzed doses exhibited possible anxiolytic effects (* p < 0.05, *** p < 0.001 vs. control) in the light/dark test. This effect was blocked by the antagonist flumazenil (FMZ) at a dose of 40 mg/kg (# p < 0.05 vs. Fmz+Chalcone). In addition to exhibiting anxiolytic effects, chalcone demonstrated anticonvulsant effects via GABA, as confirmed by a binding/activity study (### p < 0.01, #### p < 0.0001 vs. Fmz+Chalcone).
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".