The Receptor for Advanced Glycation End Products Impairs Host Defense in Pneumococcal Pneumonia
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
Streptococcus pneumoniae is the most common cause of community-acquired pneumonia. The receptor for advanced glycation end products (RAGE) is a multiligand receptor that is expressed ubiquitously in the lungs. Engagement of RAGE leads to activation of multiple intracellular signaling pathways, including NF-kappaB and subsequent transcription of several proinflammatory mediators. To determine the role of RAGE in the innate immune response to S. pneumoniae pneumonia, RAGE-deficient (RAGE(-/-)) and wild-type mice were intranasally inoculated with S. pneumoniae. S. pneumoniae pneumonia resulted in an up-regulation of constitutively present RAGE expression in lung tissue, especially in the interalveolar septae. RAGE(-/-) mice showed an improved survival, which was accompanied by a lower bacterial load in the lungs at 16 h and a decreased dissemination of the bacteria to blood and spleen at 16 and 48 h after inoculation. RAGE(-/-) macrophages showed an improved killing capacity of S. pneumoniae in vitro. Lung inflammation was attenuated in RAGE(-/-) mice at 48 h after inoculation, as indicated by histopathology and cytokine/chemokine levels. Neutrophil migration to the lungs was mitigated in the RAGE(-/-) mice. In addition, in RAGE(-/-) mice, activation of coagulation was diminished. Additional studies examining the effect of RAGE deficiency on the early (6-h) inflammatory response to S. pneumoniae did not reveal an early accelerated or enhanced immune response. These data suggest that RAGE plays a detrimental role in the host response to S. pneumoniae pneumonia by facilitating the bacterial growth and dissemination and concurrently enhancing the pulmonary inflammatory and procoagulant response.
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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 | 0.001 | 0.001 |
| 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