Protein Tyrosine Nitration in the Ventilatory Muscles
Bibliographic record
Abstract
Modification of tyrosine residues and formation of 3-nitrotyrosine is one of the most commonly identified effects of reactive nitrogen species on proteins. In this study we evaluated the presence and localization of tyrosine nitration in various ventilatory and limb muscles. We also assessed the contribution of the neuronal (nNOS), the endothelial (eNOS), and the inducible (iNOS) isoforms of nitric oxide synthase (NOS) to tyrosine nitration in skeletal muscles both under normal conditions and in response to severe sepsis. In normal rats and mice, muscle tyrosine nitration was detected at 52, 48, 40, 30, 18, and 10 kD protein bands. Tyrosine nitration of the majority of these protein bands was significantly reduced within 1 h of in vivo NOS inhibition in rats. Diaphragmatic protein tyrosine nitration in mice deficient in the inducible NOS (iNOS-/-) averaged ~ 50% of that detected in wild-type (iNOS+/+) mice. Injection of bacterial lipopolysaccharides (LPS) in rats produced a significant rise in protein tyrosine nitration in the mitochondrial and membrane fractions but not in the cytosol of ventilatory muscles. Absence of iNOS expression (iNOS-/-), but not nNOS (nNOS-/-) or eNOS (eNOS-/-), in genetically altered mice resulted in a significant reduction in LPS-mediated rise in diaphragmatic nitrotyrosine. We conclude that tyrosine nitration of proteins occurs in normal muscle fibers and is dependent mainly on the activity of the iNOS isoform. Sepsis-mediated increase in protein tyrosine nitration is limited to the mitochondria and cell membrane and is highly dependent on the activity of the iNOS but not the nNOS or eNOS isoforms.
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".