Microbiological and Inflammatory Factors Associated with the Development of Pneumococcal Pneumonia
Bibliographic record
Abstract
Pneumococcal pneumonia still is associated with a high mortality rate, despite appropriate antimicrobial therapy. Many gaps remain in the understanding of the pathogenesis of this deadly infection. The microbial and inflammatory events that characterize survival or death after intranasal inoculation of mice with an LD(50) inoculum of Streptococcus pneumoniae were investigated. Survival was associated with rapid bacterial clearance and low inflammation (surfactant and red blood cells in alveoli), but no neutrophil recruitment or lung tissue injury was noted. By contrast, death was preceded by strong bacterial growth that peaked 48 h after the infection and was associated with gradual increases in pulmonary levels of interleukin-6, macrophage inflammatory protein (MIP)-1alpha, MIP-2, monocyte chemoattractant protein-1, KC, and neutrophil recruitment. The injection of tumor necrosis factor-alpha or the addition of lipopolysaccharide or heat-killed S. pneumoniae to the inoculum enhanced early host response and survival. These observations may help develop appropriate markers of evolution of pneumonia, as well as new therapeutic strategies.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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) | 0.001 | 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".