Ascorbate prevents sepsis‐induced reduction in arteriolar conducted vasoconstriction in the mouse cremaster muscle
Bibliographic record
Abstract
We showed that increased nNOS activity and resultant NO production in the mouse cremaster muscle are the key factors responsible for the reduction in arteriolar conducted vasoconstriction during sepsis. In the present study, we hypothesized that an ascorbate bolus administered at the time of the onset of sepsis (cecal ligation and perforation, CLP) prevents the increase in NOS activity at 24 h post‐CLP and the subsequent deficit in conduction. Arterioles were locally stimulated with KCl and the ratio of conducted (500 μm upstream) to local constriction was used as an index of the conducted response (CR 500 ). Sepsis (24 h) reduced CR 500 from 0.75 to 0.20, and increased cNOS (i.e. eNOS + nNOS) activity from 70 to 95 pmol/mg/hr. Ascorbate bolus (200 mg/kg, tail vein injection at 0 h) prevented both the increase in cNOS activity (67 pmol/mg/hr) and the conduction deficit (CR500 = 0.64) at 24 h post‐CLP. Further, ascorbate bolus injection at 23 h post‐CLP restored conduction (CR 500 = 0.71) at 24 h. Superfusion of the cremaster muscle with MnTBAP (10 μM, superoxide scavenger, 20 min) at 24 h had no effect at this time point. Therefore, both the immediate and delayed ascorbate boluses prevented/restored the arteriolar conduction deficit in septic mice, possibly by preventing sepsis‐induced increase in nNOS activity in the cremaster muscle at 24 h. We suggest that ascorbate may be used as a potential therapeutic treatment to restore microvascular function in septic patients. (Supported by the CIHR and HSFO.)
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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) | 0.001 | 0.001 |
| 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 | 0.001 | 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".