Endotoxin-induced translocation of interleukin-6 from lungs to the systemic circulation
Why this work is in the frame
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Bibliographic record
Abstract
It is widely postulated that systemic inflammation related to lung infections is largely caused by cytokine translocation from the lungs into the systemic circulation but there is a paucity of animal models to evaluate this hypothesis. In this proof-of-concept study, we developed a murine model to determine whether interleukin (IL)-6, a primary inflammatory cytokine, translocates following airway exposure to endotoxin. We collected central venous blood from the right atrium and arterial blood from the aorta simultaneously at 4 h and 24 h following intratracheal exposure to endotoxin (25 microg) and measured IL-6 in the serum and broncho-alveolar lavage (BAL) fluid (n = 33 mice). We repeated the experiment following 3 d of treatment with dexamethasone (n = 31 mice). Without stimulation, there was no significant arteriovenous gradient (3 pg/ml with interquartile range [IQR] of 3-5 pg/ml in arterial versus 18 pg/ml with IQR of 8-24 pg/ml in venous serum; P = 0.86). A significant arteriovenous difference was observed by 4 h post-exposure to endotoxin (2813 pg/ml with IQR of 1578-4316 pg/ml in arterial versus 1282 pg/ml with IQR of 778-2699 pg/ml in venous serum; P50.0001). The rise in the BAL IL-6 levels correlated with the increases in the arterial serum levels (P50.0001). Administration of intraperitoneal dexamethasone for 3 d attenuated the increased arteriovenous gradient. This murine model facilitates the estimation of cytokine translocation across the lungs and evaluation of compounds to modulate this gradient.
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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) | 0.000 | 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