Effects of beta-adrenergic receptor agonist and low environmental temperature on the immune system of growing lambs
Bibliographic record
Abstract
Sixteen lambs were studied to examine the effects of cold environment and a beta-agonist on their immune status. The beta-agonist, L-646, 969, was fed for 4 wk at 0.28 or 0 mg kg−0.75 BW to animals housed in a warm (20 °C) or a moderately cold (0 °C) environment. The cold environment suppressed PWM-stimulated proliferation at week 3 (P < 0.03) and week 4 (P < 0.01). The percentage of CD4 cells and CD4:CD8 cell ratio were decreased at week 1 (P < 0.02; P < 0.05) and week 3 (P < 0.001; P < 0.003), and the percentage of CD2 cells (P < 0.05) was decreased at week 2 at the low-temperature. The beta-agonist did not influence leukocyte profile and lymphocyte functions. The results suggest that a cold environment may influence immune function by suppressing lymphocytes expressing CD2, CD4 and CD4:CD8 cell ratio, and changing lymphocyte proliferative response to a T cell mitogen. Further investigation is required to identify the effects of prolonged and intense cold exposure on the immune system with a large number of animals and the implications of current observations for the health of animals in a cold environment. Key words: Immunity, cold environment, beta-agonist, lambs
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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 | 0.000 |
| 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) | 0.001 | 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".