LPS-induced lung tissue-resident trained innate immunity provides differential protection against pneumococci and SARS-CoV-2
Bibliographic record
Abstract
Recent evidence indicates that tissue-resident innate immune memory and trained innate immunity (TII) can be induced centrally in myeloid cells within the bone marrow and locally in tissue-resident macrophages in respiratory mucosal tissues. However, it remains unclear whether acute exposure to airborne microbial components like lipopolysaccharide (LPS) induces lasting innate immune memory in airway macrophages and TII capable of protection against heterologous pathogens. Using a murine model, we demonstrate that acute LPS exposure leads to dynamic changes in the immune phenotype of airway macrophages that persist long after the acute inflammatory response has subsided. The original airway-resident alveolar macrophage pool remains stable in size despite these changes and the earlier transient acute inflammatory responses, including monocytic recruitment in the lung. We further demonstrate that the induction of innate immune memory in airway macrophages is accompanied by TII capable of robust protection against acute pneumococcal infection, whereas it provides minimal protection against acute SARS-CoV-2 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 | 0.001 |
| 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".