The effect of corn starch and Kappa-Carrageenan probiotic encapsulation on growth and immune response in Chinook salmon (Oncorhynchus tshawytscha)
Bibliographic record
Abstract
• The combined coating agent of corn starch and k-carrageenan did not affect Chinook salmon growth. • The coating agent triggered proinflammatory and regulatory immune responses in the hindgut. • No immune response changes were seen in secondary organs like the spleen and head kidney. • The coating agent induced gut homeostasis via cldn15 upregulation, but did not improve gut integrity via other TJ molecules. • Immune and gut gene changes were temporary, requiring more long-term study on the coating to use in aquaculture. Probiotics offer a promising alternative to antibiotics for managing aquaculture diseases, but their efficacy depends on maintaining stability during storage, feeding, and gastrointestinal transit. To achieve this, coating agents like corn starch and kappa-carrageenan are used in probiotic feed preparation, though some coatings may have unintended adverse effects. A feed trial was conducted to assess the impact of coating agents on growth and immune performance in Chinook salmon. Three treatments were tested: regular feed, regular feed coated with corn starch and k-carrageenan, and probiotic-supplemented feed with the same coating. The probiotic feed included a mixture of Pediococcus acidilactici MA18/5M and Limosilactobacillus reuteri LRE2. Fish growth was determined at 0-, 1-, 3-, 7-, 28, and 42-days post diet supplementation, and head kidney, spleen, and hindgut were collected. Transcripts encoding il-1b, il-8 , and tgfb were evaluated by qPCR. Additionally, in the hindgut, cdh1, cldn15, jam1a, muc2, marveld2, vil1 , and zo-1 were assessed to determine changes in gut barrier integrity. No significant differences in weight or length were observed between treatments measured over 42 days. The proinflammatory cytokines il-1b and il-8 in the spleen and head kidney showed no significant changes with the coating or probiotic treatments. However, the regulatory cytokine tgfb was significantly modulated. In the hindgut, all three transcripts and gut barrier integrity genes were modulated on day 1, day 7, or both in coated treatments. These findings indicate that corn starch and k-carrageenan as a combined coating agent has no short-term adverse effects on Chinook salmon growth or immunity and is effective for delivering probiotics to enhance fish health in aquaculture.
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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".