Proinflammatory Cytokines Are Not Released in the Circulation Following Acute Pulmonary Thromboembolism in Pigs
Bibliographic record
Abstract
Histological examination of acute lung injury associated with sepsis often revealed thromboembolic lesions in the pulmonary microcirculation. Several inflammatory mediators such as platelet activating factor, thromboxane, and endothelins have also been implicated in the pathogenesis of acute pulmonary thromboembolism (APTE). In the present study we examined the roles of three proinflammatory cytokines, tumor necrosis factor-alpha (TNF-alpha), interleukin 1beta (IL-1beta), and IL-8, in the early phase of APTE. APTE was induced in 13 anesthetized piglets (22+/-4 kg) by injecting thrombin-induced blood clots directly into the left lower lobar pulmonary artery. Five animals that received only warm sterile saline served as controls. Arterial plasma samples were collected regularly over 8 h so that cytokine levels could be measured later by enzyme-linked immunosorbent assay (ELISA). Administration of clots doubled the mean pulmonary arterial pressure (from 13+/-5 to 26+/-7 mm Hg) and caused significant decrease in arterial oxygen tension (PaO2 from 390+/-85 to 256+/-89 mm Hg while the FiO2 was maintained at 1.0). Mean arterial blood pressure and cardiac output remained comparable throughout the experiments after initial fluid resuscitation. Plasma levels of TNF-alpha, IL-1beta, and IL-8 were not significantly increased in the APTE group when compared with their baseline values or the control group. Our results thus show that APTE is associated with pulmonary hypertension and deterioration of gas exchange but not with the systemic release of TNF-alpha, IL-1beta, or IL-8. We conclude that these cytokines have minimal impact on the systemic circulation during APTE.
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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 | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 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".