Hepatoprotective action of including (<i>Euterpe oleracea</i> Mart.) in the diet of Koi carp (<i>Cyprinus carpio</i>)
Bibliographic record
Abstract
This study evaluated the hepatoprotective effect of açaí inclusion in the diets of juvenile Koi carp ( Cyprinus carpio ). For the experimental trial, 240 fish were distributed across 20 tanks (n = 12), using a completely randomized design that involved four treatments and one control group. The tested diets were: control (DC0.0%) with no açaí; 0.5% açaí (DA0.5%); 1.0% açaí (DA1.0%); 1.5% açaí (DA1.5%); and 2.0% açaí (DA2.0%) inclusion. The açaí-supplemented diets showed higher concentrations of phenolic compounds, tannins, and flavonoids, as well as superior antioxidant potential compared to the control group (p<0.05). After 30 days of feeding, four specimens from each tank were collected for histological analysis. The analysis of variance at 5% significance revealed a significant difference in the loss of the hepatic cord arrangement, with a reduction of 62.50 ± 13.06% in the control group (DC0.0%) compared to the other treatments. The DA2.0% diet exhibited greater congestion in the sinusoids (54.17 ± 20.87%) compared to the control (33.33 ± 11.68%). The control group also showed a higher number of mononuclear inflammatory infiltrates (72.92 ± 7.54%). Necrotic areas were more intense in the control group (64.58 ± 12.87%) and less pronounced in the DA1.5% diet (43.75 ± 24.13%). The results suggest that diets with intermediate levels of açaí can exert a hepatoprotective effect on Koi carp, indicating that diets with the inclusion of açaí for carp can help in growth and nutrient assimilation, since the liver tissue metabolizes a large amount of the substance, but additional studies are needed to determine the ideal dose and explore its application in other fish species.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| 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".