Autophagy modulation in rainbow trout <i>Oncorhynchus mykiss</i> L. and resistance to experimental infection with <i>Flavobacterium psychrophilum</i>
Bibliographic record
Abstract
Previously, rainbow trout fed deoxynivalenol (DON) or partially fed (pair-fed) for 4 weeks before and during experimental infection with Flavobacterium psychrophilum had significantly decreased mortality rates. Similar results were obtained in the present study after 12 days, but not after 6 days, feeding 5 ppm DON or pair-fed before infection. Furthermore, feeding 250 ppm chloroquine (CQ) also reduced mortality (p = .052) compared with controls and may have promise for treatment of some fish disease. Parallel groups of fish were maintained on the respective treatments for 15 days, with an additional group that was fasted, but were not infected to monitor autophagy. Fish that were fasted or fed DON had significantly increased LC3II in the liver and fasted fish had significantly decreased LC3II in muscle compared with controls using western blot. There was no difference in LC3II signal in the spleen of any treatment group. Fish that were fasted or pair-fed had significant up-regulation of the Atg genes atg4, atg7, lc3, gabarap and atg12 in muscle using quantitative PCR. Less alteration of Atg expression was seen in liver. Fish treated with CQ had significantly increased expression of atg4, becn1, lc3 and atg12 in the liver. Fish fed DON for 15 days had few alterations of Atg genes in either the liver or muscle. It is still not clear if autophagy is responsible for the resistance of rainbow trout fed DON, CQ or pair-fed before F. psychrophilum infection.
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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".