Isoform-specific differences in the nitrite reductase activity of nitric oxide synthases under hypoxia
Bibliographic record
Abstract
Nitrite (NO(2)(-)) recycling to nitric oxide (NO) is catalysed by a number of enzymes and induces a protective vasodilation effect under hypoxia/ischaemia. In the present work, we tested the in vitro ability of the three NOS (nitric oxide synthase) isoforms to release NO from nitrite under anoxia using electrochemical detection, chemiluminescence and absorption spectroscopy. The release of free NO from anoxic nitrite solutions at 15 muM was specific to the endothelial NOS isoform (eNOS) and did not occur with the neuronal (nNOS) or inducible (iNOS) isoforms. Unlike xanthine oxidase, the eNOS reductase domain did not recycle nitrite to NO, and wild-type eNOS did not reduce nitrate. Our data suggest that structural and, by inference, dynamic differences between nNOS and eNOS in the distal haem side account for eNOS being the only isoform capable of converting nitrite into NO at pH 7.6. In human dermal microvascular endothelial cells under careful control of oxygen tension, the rates of NO formation determined by chemiluminescence were enhanced approximately 3.6- and approximately 8.3-fold under hypoxia (2 p.p.m. O(2)) and anoxia (argon) respectively compared with normoxia ( approximately 22 p.p.m. O(2)) using 10 muM extracellular nitrite. NOS inhibitors inhibited this hypoxic NO release. Our data show that eNOS is unique in that it releases NO under all oxygen levels from normoxia to complete anoxia at physiological micromolar nitrite concentrations. The magnitude of the hypoxic NO release by the endothelial cells suggest that the endothelium could provide an appropriate response to acute episodic ischaemia and may explain the observed eNOS-expression-specific protective effect as a short-term response in animal models of acute hypoxia.
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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) | 0.000 | 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) | 0.001 | 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".