AÇÃO MODULADORA DO CORTISOL E DA ALOE VERA NO SISTEMA IMUNE INATO DE PEIXES
Bibliographic record
Abstract
Immunostimulants have been used as alternative to prevent disease outbreaks in fish farm. Products derived from Aloe vera are popular around the world due to their medicinal properties, including immunostimulatory, and represent potentially an inexpensive alternative for the control of fish diseases. The purpose was to evaluate A. vera effects in stress and innate immune responses of pacu (Piaractus mesopotamicus), fish of economic value in Brazilian farming. Fish were fed, for 10 days, with four diets: control diet, and diets with 5 g kg-1 (0.5%), 10 g kg-1 (1%) and 20 g kg-1 (2%) of A. vera. Thereafter, fish were transported for 4 hours (166 g L-1) (Experiment 1) and then experimentally infected with Aeromonas hydrophila or injected with PBS buffer (sham), by intraperitoneal via (IP) (Experiment 2). Fish were sampled at the initial condition (before transport, n=10), transport arrival (n=11), 12 and 24 hours after transport without IP (Recovery; n=8) and also at 12 and 24 hours after transports with IP (Challenge; A. hyd. or PBS, n=8). Transport increased the cortisol and glucose levels and reduced the leukocyte respiratory burst (LRB) and hemolytic activity of alternative complement pathway (ACH) of control fish, while A. vera prevented the LRB and ACH reduction at arrival. Serum lysozyme concentration (SLC) increased at 24 h after transport in A. vera infected fish. LRB, SLC and ACH of fish feeding A. vera (2%) were significantly higher, 24 h after the bacterial infection, than in control fish. A. vera enhanced the innate immune responses tested in pacu and reinforces the possibility for medicinal herbs added to fish food as an alternative method to prevent diseases in fish
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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) | 0.001 | 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".