CORM‐3‐derived CO attenuates oxidative stress in vascular endothelial cells in SOD‐activity independent manner
Bibliographic record
Abstract
Our previous studies indicate that CO derived from CO‐releasing molecule, CORM‐3, while suppressing PMN transendothelial migration at the same time amplifies oxidative stress in PMN, whereas oxidative stress in vascular endothelial cells (HUVEC) is effectively suppressed by CORM‐3. However, the mechanisms of such opposing effects of CO with respect to ROS production are unknown. In this study we assessed the effects of CORM‐3‐derived CO on modulation of the antioxidant enzyme, superoxide dismutase (SOD), activity in an in vitro model of endotoxemia. To this end, HUVEC were stimulated with LPS (1μg/ml) for 1–4h in the presence or absence of CORM‐3 (100μM) and assessed for production of ROS, activation of NFκB and expression of adhesion molecule ICAM‐1. In parallel, SOD activity in cell lysates (cell‐associated SOD) and supernatants (soluble SOD) were also assessed. The obtained results indicate that LPS‐induced increase in ROS production, activation of NFκB and ICAM‐1 expression were effectively reduced by CORM‐3. Interestingly, CORM‐3‐dependent suppression of ROS production was not associated with increased SOD activity. On the contrary, CORM‐derived CO attenuated SOD activity in both, cell lysates and supernatants, and in an assay employing purified SOD1 enzyme, indicating that CORM‐3‐derived CO negatively regulates SOD activity in cultured vascular endothelial cells (HSFO‐NA6171; IRF‐025‐09).
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| 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 | 0.000 | 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".