Bacterial pneumonia induces senescence in resident alveolar macrophages that are outcompeted by monocytes
Bibliographic record
Abstract
Alveolar macrophages (AMs) are lung-resident macrophages critical to lung homeostasis and immunity. Replacement of embryonic-derived tissue-resident AMs (TRAMs) by circulating monocyte-derived AMs (MoAMs) reshapes the functionality of AMs and host susceptibility to respiratory diseases. However, mechanisms underlying such an AM turnover remain unclear. Using a mouse model of Streptococcus pneumoniae (S.P.) infection, we show here that respiratory S.P. infection induces the recruitment and differentiation of MoAMs, which dominate the post-infectious AM population and are functionally hyperresponsive. This turnover of AMs is not due to S.P.-induced irreversible loss of TRAMs. Instead, TRAMs experience a quick recovery in cell number shortly after the resolution of S.P. infection. While S.P.-experienced TRAMs keep the potential of long-term self-maintenance in a non-competitive environment, they demonstrate cellular senescence and a reduced rate of homeostatic proliferation and are, therefore, outcompeted by MoAMs. These data provide new insights into the mechanisms and functional significance of AM turnover during pulmonary bacterial infection.
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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".