PSX-B-23 Immune tolerance of dairy heifers in response to repeated bacterial endotoxin exposure
Bibliographic record
Abstract
Abstract Lipopolysaccharide (LPS) endotoxin from the membrane of Gram-negative bacteria is often used to simulate bacterial infection in mammals. Repeated exposure to LPS over a short period of time, however, is reported to result in an attenuated acute-phase response. This “LPS tolerance” is an essential immune-homeostatic response that can protect against over-activation of the inflammatory response during chronic exposure to LPS. In the present study, Holstein calves (n=20) were initially intramuscularly challenged with either saline, or 100, 200 or 400 ng/kg of LPS and then all animals were re-challenged with 200 ng/kg of LPS 2-weeks later to assess potential LPS tolerance in ruminants. Serum was collected every 2 hrs for 6 hrs to profile changes in circulatory stress biomarkers. In comparison to the first challenge and saline control animals that received LPS for the first time, heifers re-challenged with LPS demonstrated significantly attenuated cortisol responses in the second LPS challenge (p < 0.05). Blood cell populations were also attenuated in animals receiving their second LPS challenge, in that re-challenged animals showed significantly less severe thrombocytopenic (p < 0.05), and leukopenic responses to their second LPS challenge as compared to their first (p < 0.05); this trend was also apparent when comparing newly LPS-challenged animals to the LPS re-challenged animals. MicroRNA expression profiles were determined to assess a potential epigenetic response to repeated LPS exposure, which may help identify therapeutic targets to protect against LPS-associated diseases including clinical mastitis and sepsis. The present study demonstrated that LPS tolerance occurs in dairy cattle, and understanding the roles of various miRNAs in the context of innate immune cell tolerance is essential for evaluating their impact on immune system homeostasis.
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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 | 0.001 |
| 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".