Nitric Oxide Attenuates but Superoxide Enhances iNOS Expression in Endotox in‐ and IFN<sub>γ</sub>‐Stimulated Skeletal Muscle Endothelial Cells
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Bibliographic record
Abstract
OBJECTIVE: Endothelial cells (ECs) in septic skeletal muscle may be exposed to large amounts of NO and superoxide generated by the skeletal muscle cells. We tested the hypothesis that inducible nitric oxide synthase (iNOS) induction in ECs (i.e., one of the steps in the septic process) is modulated by extravascularly generated nitric oxide (NO) and superoxide. METHODS: To model sepsis in vitro, monolayers of microvascular ECs derived from rat skeletal muscle were incubated with a mixture of lipopolysaccharide (LPS) (25 ng/mL) and interferongamma (IFNgamma) (100 U/mL) for up to 24 hours. Next, a long-term release NO donor (DETA NONOate), a superoxide-generating mixture (xanthine oxidase/xanthine; XO/X), or DETA + XO/X were added to the LPS + IFNgamma mixture. The iNOS protein and activity, as well as intracellular oxidative stress, were measured at intervals up to 24 hours, whereas the activation of AP-1, IRF-1, and NFkappaB transcription factors was determined at 2 and 24 hours. RESULTS: LPS + IFNgamma caused time-dependent increases in iNOS protein and activity. Increasing concentrations of DETA (up to 500 microM) decreased, whereas XO/X (10 mU per mL/0.1 mM, respectively) markedly enhanced, iNOS expression and activity. DETA attenuated the enhancement by XO/X. Although intracellular oxidative stress was not altered by LPS + IFNgamma, modulations of iNOS expression by DETA, XO/X, and DETA + XO/X correlated with changes in oxidative stress. Among the three transcription factors, only IRF-1 and NFkappaB seemed to be involved in iNOS induction and its modulation by DETA and XO/X. CONCLUSIONS: LPS + IFNgamma can induce iNOS expression in microvascular ECs from rat skeletal muscle, whereas NO and superoxide modulate this expression. On the basis of these observations we suggest that NO and superoxide from the extravascular tissue may play a key role in the inflammatory response of septic ECs.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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