Neutrophil granule contents in the pathogenesis of lung injury
Bibliographic record
Abstract
PURPOSE OF REVIEW: This review summarizes recent literature on the role of neutrophil granule contents in acute lung injury and the mechanisms by which these contribute to inflammatory tissue injury. RECENT FINDINGS: Neutrophil products such as elastase, reactive oxygen species, and antimicrobial peptides can alter pulmonary cell function in a nondegradative fashion through activation of cell surface receptors or modulation of signal transduction pathways. These effects can be either beneficial or detrimental to the host. SUMMARY: The primary function of neutrophils in the innate immune response--to contain and kill invading microbial pathogens--is achieved through a series of rapid and coordinated responses culminating in phagocytosis and intracellular killing of the pathogens. Neutrophils have a potent antimicrobial arsenal that includes oxidants, proteinases, and cationic peptides. Reactive oxygen species such as oxygen are produced by the phagocyte NADPH oxidase and are microbicidal. Granules within the neutrophil cytoplasm contain potent proteolytic enzymes and cationic proteins that can digest a variety of microbial substrates. These compounds are released directly into the phagosome, compartmentalizing both the pathogen and the cytotoxic products. Under pathological circumstances, however, unregulated release of microbicidal compounds into the extracellular space can paradoxically damage host tissues. Nonspecific inhibition of neutrophils is not clinically realistic, as it would leave the host vulnerable to infection. As the mechanisms of action of neutrophil granule contents are elucidated, therapeutic targets will be identified that will allow for suppression of neutrophils' detrimental effects while avoiding inhibition of their beneficial effects.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.003 |
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".