β-Hydroxybutyrate inhibits the spontaneous apoptosis of neutrophils through a degranulation–macrophage-1 antigen axis in cows with subclinical ketosis
Bibliographic record
Abstract
Subclinical ketosis (SCK), a common metabolic disorder in dairy cows during the peripartum period, is accompanied by systemic inflammation and elevated circulating BHB. β-Hydroxybutyrate contributes to the development of systemic inflammation by inhibiting the spontaneous apoptosis of neutrophils in SCK cows. However, the underlying molecular mechanism is still unclear. This study investigated the role of the degranulation–macrophage-1 antigen (Mac-1) axis in this process. The results demonstrated that BHB promoted the degranulation process and activated membrane Mac-1 (CD11b/CD18) on neutrophils both ex vivo and in vitro. Neutrophils were isolated from healthy cows and treated with 2 m M BHB, a specific degranulation inhibitor, or a Mac-1 blocking antibody in vitro. We found that the released granule contents during degranulation activated the intracellular Mac-1 signaling pathway, which was involved in BHB-mediated inhibition of bovine neutrophil apoptosis. Overall, our findings reveal that the degranulation–Mac-1 axis plays a critical role in regulating BHB-induced inhibition of spontaneous neutrophil apoptosis in dairy cows with SCK.
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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".