Myeloperoxidase (MPO) delays neutrophil apoptosis and prolongs acute pulmonary inflammation
Bibliographic record
Abstract
We have identified MPO as a suppressor of apoptosis in human neutrophils in vitro. We investigated the impact of MPO on neutrophil apoptosis in vivo and on the resolution of neutrophil‐mediated inflammation in mice. Intravenous injection of MPO (5 nmol/kg) into conscious rats did not affect mean arterial blood pressure and the number of circulating leukocytes, whereas it significantly reduced the number of apoptotic neutrophils assessed ex vivo at 60 min post‐MPO. In a mouse model of spontaneously resolving (within 5 days) acute lung injury, intratracheal instillation of carrageenan evoked massive infiltration of neutrophils into the airspace and tissues, and alveolar edema. Intratracheal injection of MPO alone produced only minimal inflammatory cell accumulation in the airways, whereas it prolonged carrageenan‐induced inflammation. Thus, the number of neutrophils in the bronchoalveolar lavage (BAL) fluid and BAL fluid protein levels were still markedly elevated at Day 5 post‐carragenan plus MPO as compared with mice that were injected carrageenan only. The percentage of annexin‐V‐positive neutrophils in BAL fluid was significantly lower in carragenan plus MPO‐treated mice than in carrageenan‐treated mice. Our results indicate that MPO supression of neutrophil apoptosis can profoundly affect the duration of the inflammatory response and add a novel facet to the MPO biology. (Support: CIHR MOP‐64283).
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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".