The combinations C1 esterase inhibitor with coagulation factor XIII and N-acetylcysteine with tirilazad mesylate reduce the leukocyte adherence in an experimental endotoxemia in rats
Bibliographic record
Abstract
The study's objective was to determine the effects of the administration of combinations of C1 esterase inhibitor (C1-INH) with coagulation factor XIII (F XIII) and N-acetylcysteine (NAC) with tirilazad mesylate (TM) on leukocyte adherence and on intestinal functional capillary density during experimental endotoxemia in rats. In a prospective, randomized, controlled animal study, 40 male Wistar rats were divided into 4 groups. Group 1 (CON group) served as control group. Group 2 (LPS group), group 3 (C1-INH+F XIII group) and group 4 (NAC+TM group) received endotoxin infusions (10 mg/kg/h for 2 h). In C1-INH+F XIII group, 100 U/kg b.w. C1-INH and 50 U/kg b.w. F XIII were administered after the first 30 min of endotoxemia. In the NAC+TM group, 150 mg/kg b.w. N-acetylcysteine and 10 mg/kg b.w. Tirilazad mesylate were administered after 30 min of endotoxemia. Leukocyte adherence at venules of the intestinal submucosal layer and functional capillary density in the villi intestinales and in the longitudinal and circular muscle layers were estimated by intravital fluorescence microscopy (IVM). C1-INH+F XIII reduced the count of firmly adherent leukocytes that was increased after LPS administration in the V3 venules (CON group 69 (17-160)/mm2; LPS group 635 (556-814)/mm2; C1-INH+F XIII group 503 (337-646)/mm2). NAC+TM reduced the firmly adherent leukocytes in the V3 venules (NAC+TM group 403 (309-572)/mm2) and in the V1 venules (CON group 55 (16-131)/mm2; LPS group 368 (306-475)/mm2; NAC+TM group 270 (216-308)/mm2) as well. FCD was not impaired after LPS challenge and there was no influence of both combinations on the FCD. We conclude that both drug combinations can reduce the leukocyte adherence in a sepsis model in rats.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| 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 | 0.001 | 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".