Cp<scp>G</scp> inclusion in feed reduces sea lice, <i><scp>L</scp>epeophtheirus salmonis</i>, numbers following re‐infection
Bibliographic record
Abstract
Lepeophtheirus salmonis infections in Atlantic salmon, Salmo salar, have been characterized by little to no hyperplastic response and a biphasic immune response that results in chronic inflammation with tissue repair as the infection progresses. We hypothesized that CpG administration with prior lice exposure would enhance epithelial inflammatory mechanisms and boost the Atlantic salmon immune response to L. salmonis, leading to greater protection against infection. We administered multiple exposures of L. salmonis to two groups of Atlantic salmon and compared responses against first-time exposed Atlantic salmon. Following re-exposure, CpG fed fish exhibited increased skin expression of interleukin (IL)-1β and IL-12 β compared to control previously exposed (CPE) and control first-time exposed (CFE) animals, respectively. This inflammatory enhancement occurred with significantly lower expression of matrix metalloproteinase-9 (MMP 9), both systemically (spleen) and locally (skin). Reduced MMP 9 expression was a hallmark of the re-infected fish (occurred in both tissues at both times). When significant differences were present in the skin or spleen, the two re-exposed groups showed greater similarity than with the first exposure group. Lice numbers on CpG fed fish were significantly lower than CFE fish at 7 days post-re-infection (dpri), and although they were not significantly different at 17 dpri, the trend of lower lice levels remained. CpG fed fish also showed nearly twofold greater protection than CPE when compared to the CFE group (48.5% vs. 27.0% reductions at 7 dpri and 27.2% vs. 13.1% reductions at 17 dpri, respectively). The enhanced protection of CpG oligodeoxynucleotide administration to previous exposure was consistent across all body surfaces and suggests that CpG can not only enhance innate responses to L. salmonis in Atlantic salmon, but also further stimulate adaptive responses.
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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 | 0.001 |
| 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".