Effects of a Selective Neutral Endopeptidase and a Nonselective Neutral Endopeptidase/Endothelin-Converting Enzyme Inhibitor on Lipopolysaccharide-Induced Endotoxaemia in Anaesthetized Sprague-Dawley Rats
Bibliographic record
Abstract
The gene expression and levels of endothelins (ETs) are increased in various animal models of lipopolysaccharide-(LPS) induced septic shock as well as in patients with endotoxaemia (ENDO). A positive correlation was reported between the expression and production of ETs, and the severity of haemodynamic and haematological disturbances, organ injury and circulatory failure in ENDO. Previous studies using ET(A)- and/or ET(B)-receptor antagonists exacerbated the effects of LPS in anaesthetized and conscious rats. We investigated the effect of a selective neutral endopeptidase (NEP) (CGS 24592) or a mixed NEP/endothelin-converting enzyme (ECE) (CGS 26303) inhibitor in LPS-induced ENDO in anaesthetized Sprague-Dawley rats. Four hours post-LPS injection, blood pressure was 39% lower in the presence of CGS 26303, compared to control-saline or LPS-injected rats. In rats treated with CGS 26303, white blood cells and platelet counts decreased, whereas lymphocytes increased. In addition, progressive liver dysfunction, characterized by increases in plasma bilirubin and alanine transferase, became even more apparent (higher than in those injected with LPS). Plasma creatinine and blood urea were similar to those of the LPS-injected group. Similar results were observed with CGS 24592. Thus, these inhibitors enhanced some, but not all, of the LPS-induced deleterious effects.
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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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 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".