Type I Interferon Signaling is Required for Oncostatin-M Driven Inflammatory Responses in Mouse Lung
Bibliographic record
Abstract
Type I interferons (IFNs) consist of a group of structurally similar cytokines that play an integral role in regulating the immune response to combat lung infections. In certain models type I IFNs have also been associated with suppression of Th2-skewed immune and inflammatory responses. Transient pulmonary overexpression of the gp130 cytokine Oncostatin M (OSM) by Adenovirus vector (AdOSM) induces a robust Th2-skewed cytokine/inflammatory profile in C57Bl/6 murine lungs. In this study we assessed type I IFN function in OSM-mediated inflammation in vivo using Ifnar1–/– C57Bl/6 mice and Ifnar1-deficient cells in vitro. Ifnar1–/– mice showed a significant reduction in AdOSM-induced histopathology (epithelial hyperplasia, alveolar septal wall thickening, cellular infiltration), and levels of IL-6 and chemokine protein (CXCL-1/KC and CCL24/eotaxin-2) in lungs compared with wild-type. Ifnar1–/– murine fibroblasts and human type I IFN receptor (Ifnar)-knockdown fibroblasts were also less responsive to OSM in STAT3 activation and cytokine production compared with Ifnar-sufficient cells in vitro. Exogenous type I IFN induced IL-6 responses in mouse and human fibroblasts and in combination with OSM further stimulated IL-6 production, suggesting a concerted action of type I IFNs and OSM. Taken together, these results demonstrate that cross-talk between IFNAR and OSM signaling enhances cell responses and modulates OSM-driven responses in lung inflammation.
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How this classification was reachedexpand
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 | 0.004 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| 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 teacher head, 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".