Interstitial nitric oxide concentrations are elevated in rat gastrocnemius muscle following recovery from femoral occlusion
Bibliographic record
Abstract
The present study examined the effects of ischemia‐reperfusion on the interstitial levels of nitric oxide (NO) and adenosine (Ado). Eight anesthetized rats had two microdialysis fibers inserted into the gastrocnemius muscle of each leg and perfused with Ringers (control) or 500 μM AOPCP (5'ectonucleotidase inhibitor). Following baseline collections both femoral arteries were clamped for 60 min (samples at 20, 40 and 60 min) and then released (samples at 20 min). With Ringers perfusion there were no increases in interstitial NO (baseline = 4.2±0.4 μM) during ischemia but NO was elevated (P<0.05) following reperfusion (5.4±0.5 μM). Prior to occlusion AOPCP treatment resulted in an increase (P<0.05) in NO from 4.3±0.6 to 5.5±0.5 μM as compared to Ringers. No further increases in NO were observed with AOPCP during ischemia, but NO was further elevated (P<0.05) following reperfusion (6.5±0.6 μM). Interstitial NO concentrations were higher (P<0.05) during AOPCP treatment compared to Ringers at all time points. There were no changes in interstitial Ado during the study. These data show that NO and Ado are not altered during femoral occlusion, but NO is elevated during reperfusion and that NO is even higher during ischemia‐reperfusion when Ado production is inhibited. These findings suggest that NO plays an important role in interstitially mediating vasodialtion during skeletal muscle reperfusion. Supported by NSERC
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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 | 0.000 |
| 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".