CHARACTERIZATION OF S. PNEUMONIAE PNEUMONIA-INDUCED MULTIPLE ORGAN DYSFUNCTION SYNDROME
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, a gram-positive bacteria, is the most common cause of community-acquired pneumonia. It is a common cause of septic shock with multiple organ dysfunction syndrome (MODS) resulting in significant mortality. Gram-positive mouse models of sepsis with MODS are required to examine mechanisms of immune responses in severe sepsis. To assess whether lung infection due to S. pneumoniae in a nonventilated mouse model can induce multiple organ dysfunction. S. pneumoniae, SPN 15814 strain, harvested at log phase, was injected intratracheally in C57BL/6 mice at OD 600 between 0.35 and 0.63. A dose of bacteria at OD 600 = 0.63 conferred approximately 30% mortality in 36 h. Lung pneumonia was assessed by histology, lung myeloperoxidase activity, and lung bacterial load; intestinal epithelial barrier integrity was assessed by measuring blood-to-lumen clearance of Cr-EDTA; renal function was assessed by measuring plasma creatinine and urea; and myocardiac function was assessed using an isolated perfused mouse heart model. S. pneumoniae-induced pneumonia resulted in neutrophil infiltration into the lungs and increased lung bacterial load. Although relatively few bacteria gained access to the blood stream, the pneumonia was accompanied by increased intestinal epithelial barrier permeability, increased plasma creatinine, and decreased cardiac output and stroke volume. These data clearly show that intratracheal S. pneumoniae induced not only pneumonia but also MODS, despite the fact that few organisms gain access to the blood stream. This model can be used as a good gram-positive model of sepsis and MODS for further studies.
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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