Neutrophil contributions to the induction and regulation of the acute inflammatory response in teleost fish
Bibliographic record
Abstract
Neutrophils are essential to the acute inflammatory response, where they serve as the first line of defense against infiltrating pathogens. We report that, on receiving the necessary signals, teleost (Carassius auratus) neutrophils leave the hematopoietic kidney, enter into the circulation, and dominate the initial influx of cells into a site of inflammation. Unlike mammals, teleost neutrophils represent <5% of circulating leukocytes during periods of homeostasis. However, this increases to nearly 50% immediately after intraperitoneal challenge with zymosan, identifying a period of neutrophilia that precedes the peak influx of neutrophils into the challenge site at 18 h after injection). We demonstrate that neutrophils at the site of inflammation alter their phenotype throughout the acute inflammatory response, and contribute to both the induction and the resolution of inflammation. However, neutrophils isolated during the proinflammatory phase (18 h after injection) produced robust respiratory burst responses, released inflammation-associated leukotriene B(4), and induced macrophages to increase reactive oxygen species production. In contrast, neutrophils isolated at 48 h after infection (proresolving phase) displayed low levels of reactive oxygen species, released the proresolving lipid mediator lipoxin A(4), and downregulated reactive oxygen species production in macrophages before the initiation of apoptosis. Lipoxin A(4) was a significant contributor to the uptake of apoptotic cells by teleost macrophages and also played a role, at least in part, in the downregulation of macrophage reactive oxygen species production. Our results highlight the contributions of neutrophils to both the promotion and the regulation of teleost fish inflammation and provide added context for the evolution of this hematopoietic lineage.
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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".