Effects of dietary algal supplementation on bovine immunity (39.50)
Bibliographic record
Abstract
Abstract Marine algae are primary producers of long chain omega-3 fatty acids and can serve as novel dairy feed supplements with the added potential to influence bovine immunity. Our objective was to assess the immunomodulatory impact of dietary supplementation with different algal types (macroalgae and microalgae). Effects of dietary algal supplementation were examined using a crossover design and a 28 day feeding period with each algal type. Primary immunization with Keyhole Limpet Hemocyanin (KLH) was carried out 8 days into the trial, with secondary immunization 14 days later. KLH-specific serum IgG responses were significantly higher in cows receiving macroalgae-supplemented feed than in cows receiving microalgae-supplemented feed. In contrast, cows receiving microalgae-supplemented feed showed significantly higher levels of macrophage oxidative burst activity in response to PMA challenge in vitro. These results suggest that dietary supplementation with algal products has immunomodulatory potential and also indicates that the effects on cellular and humoral immunity are dependent on the type of algae used. Funded by the Atlantic Innovation Fund.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| 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) | 0.001 | 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".