Adenosine is involved in the arteriolar vasodilatory responses to a single skeletal muscle contraction
Bibliographic record
Abstract
To investigate the role of Adenosine (Ado) in response to a single contraction we stimulated 4–5 skeletal muscle fibres in a hamster cremaster preparation and measured the diameter of arterioles at the site of overlap with the stimulated muscle fibres before and after a single contraction (250ms train duration) at 4, 20 and 60Hz. Muscle fibres were stimulated prior to and following 30min incubation with Ado receptor antagonists 1,3‐dipropyl‐8‐sulphophenylxanthine (DPSPX, 10 −5 M) or xanthine amine congener (XAC,10 −6 M), or ecto‐5′‐nucleotidase inhibitor adenosine 5′‐[α,β‐methylene]diphosphate (AMPCP,10 −5 M). A dilation within 10s was observed at 4, 20 and 60Hz (1.0±0.2; 1.5±0.2; 2.0±0.2μm respectively) which was significantly attenuated by DPSPX (4Hz −0.1±0.2; 20Hz −0.2±0.3; 60Hz 0.04±0.2μm), XAC (4Hz 0.5±0.2; 20Hz 1.0±0.2; 60Hz 0.3±0.2μm), and AMPCP (4Hz 0.03±0.1; 20Hz −0.3±0.3; 60Hz −0.3±0.2μm). A secondary dilation at 20s at 20Hz (1.4±0.3μm) and 60Hz (1.1±0.1μm) was significantly attenuated by DPSPX (20Hz −0.1±0.1; 60Hz −0.1±0.3μm), XAC (20Hz 0.3±0.2; 60Hz 0.5±0.2) and AMPCP (20Hz 0.2±0.2; 60Hz 0.02±0.1μm). These findings implicate Ado in the vasodilations in response to a single muscle contraction. 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) | 0.000 | 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) | 0.002 | 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".