Intestinal host–microbe interactions fuel pulmonary inflammation in cigarette smoke exposed mice
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The gut microbiota has been implicated in numerous aspects of host health and immune regulation. Specifically, recent studies have linked gut microbes to the pathogenesis of chronic obstructive pulmonary disease (COPD), primarily induced by excessive cigarette smoke, although the underlying mechanisms remain elusive. Here, we investigated the role of gastrointestinal (GI) host-microbe interactions on pulmonary health. Using two distinct means of modulating GI host-microbe relations, we dissected how gut microbes fuel pulmonary inflammation in mouse models of cigarette smoke (CS)-induced lung disease. We found that CS caused profound changes to the colonic mucosa, with reduced mucus and increased bacterial encroachment. Modulating host-microbe interactions using antibiotics and recombinant human β-defensin 2 restricted colonic bacterial encroachment, limiting interactions between host and microbe. These strategies resulted in substantial ~50% decrease in pulmonary neutrophil infiltration following both acute and chronic exposure to CS. The reported findings provide additional evidence of a gut-lung axis, offering novel insight into the role of the gut microbiota in pulmonary immune activation, which could represent a novel avenue for future therapeutic strategies.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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) | 0.000 | 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 it