Nitric oxide depresses connexin 43 after myocardial infarction in mice
Bibliographic record
Abstract
AIMS: Heart failure (HF) is a major cause of death and morbidity. Connexin 43 (Cx43) content is reduced in the failing myocardium, but regulating factors have not been identified. In HF, inducible nitric oxide synthase (iNOS)-induced high levels of nitric oxide (NO) cause apoptosis and cardiac dysfunction. However, a direct iNOS-Cx43 link has not been demonstrated. We investigated this relationship in mice after myocardial infarction. METHODS: Effects of myocardial infarction were evaluated 2 weeks after coronary artery ligation in wild-type C57BL/6 (WT) and iNOS(-/-) knockout mice. Myocardial Cx43 and Cx45 content were assessed by immunofluorescence confocal imaging and western blotting. Cardiac function was evaluated in anaesthetized mice using a micro pressure-tipped catheter inserted into the left ventricle. RESULTS: Despite similar infarct size, deficiency in iNOS resulted in significantly lower plasma nitrate/nitrite levels, better haemodynamic performance and lower mortality 2 weeks after coronary ligation. Myocardial Cx43, but not Cx45, content was lower in WT mice following ligation. The reduction in Cx43 was less in iNOS(-/-) compared with WT mice. To assess the direct effect of NO on Cx43 expression, cultured neonatal mouse cardiomyocytes were employed. Incubation with the NO donor, S-nitroso-N-acetylpenicillamine, elicited a dose-dependent decrease in Cx43 content in cultured neonatal cardiomyocytes. CONCLUSIONS: Increased NO production from iNOS depressed cardiac performance and contributed to the decreased myocardial Cx43 content 2 weeks after myocardial infarction.
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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".