Regulator of Calcineurin 1 Suppresses Inflammation during Respiratory Tract Infections
Bibliographic record
Abstract
Respiratory tract infection with Pseudomonas aeruginosa is a common cause of hospitalization in immune-compromised individuals. However, the molecular mechanisms involved in the immune response to P. aeruginosa lung infection remain incompletely defined. In this study, we demonstrate that the regulator of calcineurin 1 (RCAN1) is a central negative regulator of inflammation in a mouse model of acute bacterial pneumonia using the opportunistic bacterial pathogen P. aeruginosa. RCAN1-deficient mice display greatly increased mortality following P. aeruginosa lung infection despite enhanced neutrophil recruitment and bacterial clearance. This mortality is associated with higher systemic levels of proinflammatory cytokines in RCAN1-deficient animals. These aberrant inflammatory responses coincide with increased transcriptional activity of proinflammatory RCAN1-target proteins NFAT and NF-κB. In addition, we reveal a novel regulatory role for RCAN1 in the ERK/STAT3 pathway both in vitro and in vivo, suggesting that aberrant STAT3 activity may significantly contribute to delayed resolution of inflammatory responses in our model. Together, these findings demonstrate that RCAN1 is a potent negative regulator of inflammation during respiratory tract infections.
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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".