Lipopolysaccharide-induced Diaphragmatic Contractile Dysfunction and Sarcolemmal Injury in Mice Lacking the Neuronal Nitric Oxide Synthase
Bibliographic record
Abstract
In this study we evaluated the role of the neuronal nitric oxide synthase (nNOS) in lipopolysaccharide (LPS)-induced diaphragmatic contractile dysfunction and sarcolemmal injury. Wild-type (WT) mice or mice deficient in the nNOS gene (nNOS(-/-)) were injected with either saline (control) or Escherichia coli LPS (LPS groups) and sacrificed 12 h later. The diaphragm was then examined for NOS expression, NOS activity, and in-vitro contractility. We also assessed sarcolemmal injury in isolated muscle strips under resting condition and after 3 min of artificial stimulations. In WT mice, LPS injection reduced maximum force to about 75% of that of control animals and raised total NOS activity significantly due to the induction of the iNOS isoform. Although muscle fiber injury was minimal under resting condition, the percentage of injured fibers in control and LPS-injected mice approached 27% and 40% of total fibers, respectively, in response to artificial stimulation. By comparison, LPS injection in nNOS(-/-) mice elicited a worsening of muscle contractility (maximum force < 60% of control animals) but elicited degrees of sarcolemmal injury similar to those observed in the WT animals. In addition, muscle NOS activity and iNOS protein level in nNOS(-/-) mice injected with LPS reached about 10% and 60% of that of WT animals, respectively (p < 0.05 compared with WT animals). Protein level of endothelial NOS isoform in the diaphragm was not altered by LPS injection in either WT or nNOS(-/-) animals. We conclude that nNOS plays a protective role in attenuating the negative influence of sepsis on diaphragmatic contractility but is not involved in the pathogenesis of sepsis-induced sarcolemmal injury.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".