Novel protective role of alveolar macrophages in adaptation to lung injury
Bibliographic record
Abstract
Introduction: Lung adaptation from pulmonary insults is an essential requirement for host fitness and survival. Lung epithelial injury and inflammation trigger oxidative stress which further damages the tracheobronchial tree. Failure or incomplete adaptation to oxidative injury favours the development of severe airway disease. Objectives: Establish a new model to explore airway adaptation to oxidative injury in order to elucidate key mechanisms for preserving lung function. Methods: To establish a model for the study of adaptation to oxidative stress induced-lung injury, we exposed mice to repeated chlorine gas exposures. Outcome measures were assessed 24h after the last chlorine exposure. Lung function mechanics were explored using FlexiVent. Inflammation and anti-oxidant responses were assessed in both bronchoalveolar lavage and lung tissue. Knock-out mice, depletion, adoptive transfer and gene array approaches were used to further explore the mechanistic. Results: Here we report a striking respiratory airway adaptation in mice after repeated chlorine exposures. Mice rapidly adapt by controlling the neutrophilic inflammation and airway hyperresponsiveness. After excluding antioxidant mechanisms and regulatory T cells, we found that adaptation was mediated by resident alveolar macrophages, programmed with a potent pro-phagocytic capacity. Notably, 5% of alveolar macrophages expressed Foxp3 and depletion of these cells abolished adaptation. Conclusions: This new model of adaptation to oxidative stress-induced lung injury lead us to discover a subset of alveolar macrophages Foxp3+, which may provide new cellular mechanism in resolving inflammation leading to airway adaptation and host fitness. CIHR MOP-126131.
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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".