Effects of <i>leptin Arg25Cys</i> on peripheral mononuclear cell counts and antibody response to vaccination in beef cattle
Bibliographic record
Abstract
A single nucleotide polymorphism (SNP) in the leptin gene that results in Arg25Cys has been associated with beef carcass quality and milk composition in dairy cattle. However, leptin (LEP) also plays a role in immune performance and hence it was important to determine whether selection based on this SNP would negatively affect immune cell numbers or antibody production. LEP c.73C>T was assessed for effects on immune cell counts and antibody titres in 27 beef cattle herds (n = 556). A commercial rabies vaccine had been administered to these animals. Prior to being vaccinated, counts of several important mononuclear cells (total and activated B lymphocytes, total and activated T helper and T cytotoxic, WC1 T lymphocytes and monocytes) as well as baseline serum antibody titres were determined for each animal. On day 21, antibody titres were measured and a booster vaccine was administered. Finally on day 42, antibody titres and mononuclear cell types were again counted. Counts of six different cell types were significantly associated with the LEP genotype; however, no consistent patterns were observed between LEP genotype (TT, CT or CC) and peripheral blood mononuclear cell populations. Significant differences in the production of rabies antibodies in response to vaccination were observed relative to LEP genotype. Our results suggest that selection for either the C or T allele would not detrimentally impact on the measured indicators of immune function in beef cattle.
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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".