Complexity of Inducible Nitric Oxide Synthase
Bibliographic record
Abstract
BACKGROUND: Inducible nitric oxide synthase (iNOS) has been shown to have both beneficial and detrimental effects in sepsis. We focused on a single organ, the heart, and used 2 distinct cell types that express iNOS-the cardiac myocyte and the infiltrating neutrophil-to study the distinct functional effects of iNOS derived from heterogeneous cellular sources. METHODS AND RESULTS: In the first series of experiments, extravascular neutrophils were exposed to isolated single endotoxemic cardiac myocytes. Adhesion of wild-type neutrophils caused a rapid decrease in myocyte shortening and a concomitant increase in neutrophil-derived intracellular oxidative stress within the myocytes that was not observed with neutrophils from iNOS-deficient animals. We previously demonstrated that neutrophil-derived superoxide was essential for myocyte dysfunction; however, superoxide production was not compromised in the iNOS-deficient neutrophils. Because both superoxide and NO were essential for the neutrophil dysfunction, we probed for but could not detect any peroxynitrite assessed by detection of nitrotyrosine. There was a significant increase in length shortening in response to beta-adrenergic stimulation of wild-type myocytes. Surprisingly, myocyte iNOS activity was essential rather than detrimental for the development of beta-adrenergic receptor-mediated increases in shortening in endotoxemic iNOS-deficient myocytes. CONCLUSIONS: These results demonstrate that iNOS, when expressed in isolated cardiac myocytes, can regulate the response to beta-adrenergic stimulation during sepsis. However, as the neutrophils migrate in proximity to myocytes, iNOS now becomes essential for the ability of neutrophils to damage myocytes. These findings demonstrate that cellular source strongly modulates the beneficial and detrimental effect of iNOS.
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 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 | 0.000 | 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 | 0.000 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".