Rapid biphasic arteriolar dilations induced by skeletal muscle contraction are dependent on stimulation characteristics
Bibliographic record
Abstract
To test the hypothesis that measurable changes in microvasculature dilation occur in response to a single short-duration tetanic contraction, we contracted three to five skeletal muscle fibres of the hamster cremaster muscle microvascular preparation (in situ) and evaluated the response of an arteriole overlapping the active muscle fibres. Arteriolar diameter (baseline diameter = 16.4 +/- 0.9 micro m, maximum diameter = 34.7 +/- 1.2 micro m) was measured before and after a single contraction resulting from a range of stimulus frequencies (4, 10, 20, 30, 40, 60, and 80 Hz) within a 250- or 500-ms train. Four and 10 Hz produced a significant dilation at 2.9 +/- 0.4 and 6.5 +/- 2.8 s, respectively, within a 250-ms train and 3.0 +/- 0.2 and 6.1 +/- 1.3 s, respectively, within a 500-ms train. Biphasic dilations were observed within a 250-ms train at 20 Hz (at 3.9 +/- 0.9 and 22.1 +/- 4.3 s), 30 Hz (at 2.7 +/- 0.3 and 17.5 +/- 2.9 s), and 40 Hz (at 3.8 +/- 0.4 and 23.2 +/- 2.6 s) and within a 500-ms train at 20 Hz (at 4.8 +/- 0.4 and 31.9 +/- 3.8 s) and 30 Hz (at 3.4 +/- 0.3 and 27.6 +/- 3.0 s). A single dilation was observed within a 250-ms train at 60 Hz (at 5.1 +/- 0.7 s) and 80 Hz (at 14.2 +/- 3.3 s) and within a 500-ms train at 40 Hz (at 9.9 +/- 3.2 s), 60 Hz (at 7.9 +/- 2.1 s), and 80 Hz (at 13.4 +/- 4.0 s). We have shown that a single contraction ranging from a single twitch (4 Hz, 250 ms) to fused tetanic contractions produces significant arteriolar dilations and that the pattern of dilation is dependent on the stimulus frequency and train duration.
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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 | 0.001 |
| 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".