Dietary polyunsaturated fatty acids significantly affect laying hen lymphocyte proliferation and immunoglobulin G concentration in serum and egg yolk
Bibliographic record
Abstract
Forty eight (48) Single Comb White Leghorn laying hens 24 wk of age were housed in cages and were fed wheat-soybean meal based diets with added oils [sunflower oil (SO), animal oil (AO), linseed oil (LO), or fish oil (FO)] at 5%. After 5 wk on experimental diets, spleen lymphocytes and peripheral blood lymphocytes were obtained from six birds and assayed for polyclonal mitogen Con A-induced proliferative response and the proportions of lymphocyte subsets. The IgG concentration in serum and egg yolk was also measured. Feeding LO and FO resulted in an increase in longer-chain n-3 polyunsaturated fatty acids (PUFA) (C20:5n-3, C22:5n-3, and C22:6n-3) with a concurrent decrease of C20: 4n-6 in spleen lymphocytes (P < 0.05). The highest enrichments of the longer-chain n-3 PUFA were achieved by feeding FO. The content of C20: 4n-6 was higher (P < 0.05) in the lymphocytes of hens fed AO and SO. Subsequently, Con A-stimulated proliferation of spleen and peripheral blood lymphocytes were significantly suppressed (P < 0.05) in the chicks fed high n-3 PUFA diets (LO and FO). The LO diet increased (P < 0.05) the IgG concentration in laying hen serum. The SO diet reduced (P < 0.05) IgY content in egg yolk. Dietary fatty acids did not affect (P > 0.05) the proportions of lymphocyte subsets in spleen and blood lymphocytes. It is indicated that the ratio of n-6 to n3 PUFA plays a major role in modulating cell-mediated and humoral immune responses of laying hens, and various n-3 fatty acids possess different potencies of immunomodulation. Key words: Laying hens, n-3 polyunsaturated fatty acids, lymphocyte proliferation, immunoglobulin G, immunoglobulin Y
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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".