Effect of postcalving serum nonesterified fatty acids concentration on the functionality of bovine immune cells
Bibliographic record
Abstract
The periparturient period is marked by metabolic, hormonal, and immunological changes, which have an effect on the incidence of infectious and metabolic diseases. In a previous study, a slower increase in milk production was induced by milking cows once daily during the first week of lactation, leading to an improvement in levels of several metabolites, including nonesterified fatty acids (NEFA) and β-hydroxybutyrate (BHBA). The aim was to determine the influence of serum collected on d 2, 5, and 61 postpartum from cows milked once or twice daily on immune cell functions and to determine which of the constituents were responsible for these effects. Peripheral blood mononuclear cells (PBMC) and polymorphonuclear leukocytes were collected from healthy midlactation cows and their immune functions (i.e., proliferation and interferon-γ production and chemotaxis, phagocytosis, and oxidative burst, respectively), were evaluated in presence of serum, NEFA, and BHBA. Proliferation of PBMC was greater with d-61 (65.1±1.6%) serum than with d-2 (37.3±2.4%) or d-5 (48.4±1.6%) serum and greater with d-2 and -5 serum from cows milked once (42.2±3.7 and 54.0±2.5) compared with cows milked twice daily (32.4±3.0 and 42.9±2.1). Proliferation was inversely correlated with the concentration of NEFA and BHBA in the serum (r=-0.86). Adding NEFA to d-61 serum to reach the level present in d-5 serum decreased proliferation to the level observed with d-5 serum. No effect of BHBA addition was observed. The release of interferon-γ by PBMC was lower in d-5 serum (766±63 pg/mL) than in d-61 serum (1,187±90 pg/mL) and by NEFA. Milking frequency did not affect chemotaxis, phagocytosis, or oxidative burst of polymorphonuclear leukocytes. Phagocytosis decreased over time in serum from d 2 to 61. Similarly, oxidative burst was greater with d-5 serum (12.7×10(8) ± 1.6×10(8) relative light units) than with d-61 serum (9.0×10(8) ± 1.6×10(8) relative light units). The NEFA had a negative effect on oxidative burst, but BHBA did not. In conclusion, several immune cell functions appear affected by the NEFA concentration. Therefore, strategies that prevent increases in blood NEFA during the transition period may limit postpartum immunosuppression.
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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 | 0.001 |
| 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 | 0.001 | 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".