Local activation of the tissue factor-factor VIIa pathway in patients with pneumonia and the effect of inhibition of this pathway in murine pneumococcal pneumonia*
Bibliographic record
Abstract
OBJECTIVE: The tissue factor (TF)-factor VIIa (FVIIa) complex not only is essential for activation of blood coagulation but also affect the inflammatory response during sepsis. The objective of this study was to determine the role of TF-FVIIa in pneumonia caused by Streptococcus pneumoniae, the most important causative organism in community-acquired pneumonia and a major cause of sepsis. DESIGN: A controlled, in vivo laboratory study. SETTING: Research laboratory of a health sciences university. PATIENTS AND SUBJECTS: Patients with unilateral community-acquired pneumonia and female BALB/c mice. INTERVENTIONS: Bilateral bronchoalveolar lavage was performed in patients with community-acquired pneumonia. In mice, pneumonia was induced by intranasal inoculation with S. pneumoniae with or without concurrent inhibition of TF-FVIIa by subcutaneous injections of recombinant nematode anticoagulant protein (rNAPc2). MEASUREMENTS AND MAIN RESULTS: Patients with unilateral community-acquired pneumonia demonstrated elevated concentrations of FVIIa, soluble TF, and thrombin-antithrombin complexes in bronchoalveolar lavage fluid obtained from the infected site compared with the uninfected site. Mice with S. pneumoniae pneumonia displayed increased TF expression and fibrin deposits in lungs together with elevated thrombin-antithrombin complex levels in bronchoalveolar lavage fluid; inhibition of TF-FVIIa by rNAPc2 attenuated the procoagulant response in the lung but did not affect host defense, as reflected by an unaltered outgrowth of pneumococci and an unchanged survival. CONCLUSIONS: These data suggest that TF-FVIIa activity contributes to activation of coagulation in the lung during pneumococcal pneumonia but does not play an important role in the antibacterial host defense in this murine model.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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".