Enhanced NO and superoxide generation in dysfunctional hearts from endotoxemic rats
Bibliographic record
Abstract
Free radicals have been implicated in the etiology of cardiac dysfunction during sepsis, but the actual species responsible remains unclear. We studied the alterations in myocardial nitric oxide (NO), superoxide, and peroxynitrite generation along with cardiac mechanical function and efficiency in hearts from lipopolysaccharide (LPS)-treated rats. Six hours after LPS (4 mg/kg ip) or saline (control) treatment, hearts were isolated and perfused for 1 h with recirculating Krebs-Henseleit buffer and paced at 300 beats/min. Cardiac work, O(2) consumption, and cardiac efficiency were markedly depressed in LPS hearts compared with controls. Plasma nitrate/nitrite level was elevated in LPS rats, and ventricular NO production was enhanced as measured by electron spin resonance spectroscopy, Ca(2+)-independent NO synthase (NOS) activity, and inducible NOS immunohistochemistry. Ventricular superoxide production was also enhanced in LPS-treated hearts as seen by lucigenin chemiluminescence and xanthine oxidase activity. Increased nitrotyrosine staining (immunohistochemistry) and higher lipid hydroperoxides levels were also detected in LPS-treated hearts, indicating oxygen radical-induced stress. Enhanced generation of both NO and superoxide, and thus peroxynitrite, occur in dysfunctional hearts from endotoxemic 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 | 0.000 |
| 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".