Amelioration of Pathology by ELR-CXC Chemokine Antagonism in a Swine Model of Airway Endotoxin Exposure
Why this work is in the frame
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Bibliographic record
Abstract
Airborne organic dusts in swine confinement facilities have detrimental effects on workers health. Bacterial endotoxins (i.e., lipopolysaccharides [LPS]) that contaminate these dusts have been implicated in their pro-inflammatory effects in the airways. Exposure to such dusts induces expression of ELR-CXC chemokines (e.g., interleukin [IL]-8), prototypical neutrophil chemoattractants and activators, and neutrophilic pathology. To confirm the roles of the ELR-CXC chemokines in LPS-driven airway pathology, the authors exposed swine to bacterial LPS and tested whether blocking ELR-CXC chemokines would have beneficial effects. Delivery of the ELR-CXC chemokine antagonist CXCL8(3-74)K11R/G31P (G31P) blocked reactive oxygen intermediate production and chemotactic responses by IL-8-challenged neutrophils in vitro. In vivo, one treatment with G31P (100 microg/kg) blocked neutrophil inflammatory responses to intradermal LPS challenge for > or =2 days. It also ameliorated pathology in piglets challenged via the airway with 1 mg of Eschericia coli LPS. On physical examination the saline-treated endotoxemic animals were depressed, pyrexic, and displayed labored breathing, whereas the G31P-treated animals were bright, active, and alert and had a low-grade fever and occasional cough. The lungs of the saline-treated animals displayed evidence of pleural surface hemorrhagic consolidation, and their airways contained large numbers of neutrophils (>80%) as well as substantial amounts of tumor necrosis factor (TNF) and IL-1. The G31P treatments of the LPS-challenged piglets reduced their airway neutrophilic inflammatory responses by approximately 86% and reduced the airway TNF (approximately 70%) and IL-1 (approximately 83%) levels. These data implicates the ELR-CXC chemokines in the neutrophilic inflammation observed after airways exposure to bacterial LPS.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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