Nitric oxide reduces electrical coupling in microvascular endothelial cells by targeting connexin 37
Bibliographic record
Abstract
Increased nitric oxide (NO) production in septic mice impairs arteriolar conducted vasoconstriction, involving a cGMP‐independent pathway. We recently reported that Cx37 null mice have impaired conducted vasoconstriction. Therefore, arteriolar Cx37 may be a potential target for NO signaling in sepsis. We examined the effect of NO on electrical coupling in monolayers of cultured microvascular endothelial cells derived from the hindlimb skeletal muscle of wild‐type (WT), Cx37 null, Cx40 null and Cx43 G60S (nonfunctional mutant) mice. To assess coupling, we measured the spread of electrical current injected into the monolayer and calculated the monolayer intercellular resistance (inverse measure of coupling). The NO donor DETA (500 μg/ml, 3 h) significantly reduced coupling (i.e. increased resistance) in cells from WT, Cx40 null and Cx43 G60S mice, but not in cells from Cx37 null mice. In WT cells, a 5–10 min application of DETA reduced coupling, indicating that NO affects rapid signaling and/or Cx37 function. Since electrical coupling along the arteriolar endothelium is critical in arteriolar conduction, we propose that NO in sepsis impairs arteriolar conducted vasoconstriction by targeting Cx37.
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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 | 0.001 |
| 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".