Assessment of heat stress response of peripheral blood mononuclear cells from dairy cows stress-phenotyped using bacterial lipopolysaccharide endotoxin
Bibliographic record
Abstract
Heat stress (HS) can affect gut barrier integrity, leading to a leaky gut and elevated enteric bacterial LPS endotoxin levels in the circulation. This LPS can induce systemic inflammation manifesting as the acute-phase response, which includes a febrile response that may compromise heat dissipation from the body during HS. To assess the effects of HS, peripheral blood mononuclear cells (PBMC) were isolated from dairy cows that were previously stress phenotyped based on their 4-h serum cortisol response to Escherichia coli LPS (200 ng/kg administered i.m.). After stress phenotyping, a population of dairy calves (n = 260), 8 high stress responder (HSR; +1 SD from the mean, >956.0 pg/mL), 11 middle stress responder (MSR; ± SD around the mean of 573.4 pg/mL), and 11 low stress responder (LSR; -1 SD from the mean, <190.8 pg/mL) stress-responding animals were selected for the study. The PBMC were later isolated and subjected to a heat shock challenge (HSC) in vitro at 42°C for 4 h then returned to 37°C where the control plates remained. Cell viability and proliferation were assessed, culture supernatants were collected to assess cytokine and chemokine secretion, and total RNA was extracted to assess candidate gene expression. There was a significant increase in the apoptosis of PBMC from the HSR and MSR, as compared with the LSR group post-HSC. However, there was a significant increase in necrosis in the LSR PBMC as compared with other groups following HSC. Proinflammatory and anti-inflammatory cytokine and chemokine production, specifically IFN-γ, IL-8, and MCP-1, was influenced by HSC and different across treatment groups. Finally, there was a significant increase in the expression of HSP90 and HSP70 genes in HSC MSR PBMC compared with the CNT MSR PBMC. Collectively, these results demonstrate that PBMC from variable stress-responding cows respond differently to the HSC. Future research is warranted to investigate if this phenotype can be used to improve the HS resilience of dairy cattle through selective breeding.
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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".