A spent hen muscle protein hydrolysate: a potential IL-10 stimulator in a murine model
Bibliographic record
Abstract
Dietary proteins harbour bioactive peptides that exert various physiological activities. Chicken meat prepared from spent layers from the egg industry is an inexpensive source of protein for the production of bioactive peptides. This study explored the effect of hen muscle-derived peptides prepared by enzymatic hydrolysis on immune functions. The hydrolysate was incorporated into the diet of weanling Sprague-Dawley rats (n = 8 per diet) for 3 weeks at 2% or 5% addition (w/w diet). At a dose of 5% (w/w) the hydrolysate exhibited immunomodulatory effects on splenocytes, including a lower proportion of OX6+ (professional antigen presenting cells) and a higher proportion of CD11b/c+ cells (macrophages/monocytes) (p < 0.05) compared to the isonitrogenous control diet. Meanwhile, the production of anti-inflammatory cytokine interleukin (IL)-10 by splenocytes stimulated ex vivo with mitogens was significantly higher from hydrolysate treatment; there was no significant difference in the other cytokines (IL-1β, tumor necrosis factor (TNF)-α, interferon (IFN)-γ, IL-6 and IL-2) investigated. Supplementing with the hydrolysate did not alter the growth, food intake and organ weights in young rodents. These results indicated that the spent hen muscle protein hydrolysate has the potential to be developed for value-added products with anti-inflammatory properties.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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) | 0.000 | 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 teacher head, 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".