185 Impact of hydroxy-selenomethionine supplementation during late gestation and lactation in sows on piglet immunocompetence
Bibliographic record
Abstract
Abstract The benefits of selenium (Se) supplementation during pregnancy and lactation in sows on piglet immunocompetence are not yet fully understood. This study aimed to assess piglet immune status when sows were fed Se-deficient or supplemented diets with sodium selenite (SS) or hydroxy-selenomethionine (OH-SeMet). Twelve pregnant sows were randomly assigned to 3 dietary treatments (4 sows each): no supplemental Se (NC), SS at 0.3 mg Se/kg (SS-0.3), OH-SeMet at 0.3 mg Se/kg (SO-0.3). The trial was carried out from gestation day (gd) 84 to weaning on postpartum day (ppd) 21, at which time all the piglets received the same diet having as Se source SS. On gd 98 and 105, sows were vaccinated with hen egg white lysozyme (HEWL). On ppd 0 and 21, 8 piglets/treatment were euthanized to obtain blood and muscle samples for total Se analyses. Serum samples were collected from 8 female piglets/treatment on ppd 0 and 2 to assess antigen-specific antibody titer for HEWL. On ppd 23, 6 weaned female piglets/treatment were intramuscular challenged with E. coli lipopolysaccharide (LPS) and serum IL-10 levels were measured at 24 h pre-challenge and at 2 and 48 h post challenge. At day 21, piglets from sows fed SO-0.3 showed the highest muscle Se deposition (P < 0.001). At ppd 0, no difference for HEWL-specific IgG was found while at ppd 2, SO-0.3 showed the highest HEWL-specific IgG concentration (P < 0.05). At 24 h pre-challenge and 2 h post LPS challenge, SO-0.3 showed a greater IL-10 level as compare to NC and SS-0.3, respectively (P < 0.05); no difference was found for the same parameter at 48 h post challenge. Piglets from SO supplemented sows exhibited stronger early immune response to LPS challenge. This study indicates the importance of sow Se supplementation with a pure organic form of Se such as OH-SeMet to enhance piglets Se and immune status.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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".