Arteriolar and capillary responses to <scp>CO</scp><sub>2</sub> and H<sup>+</sup> in hamster skeletal muscle microvasculature: Implications for active hyperemia
Bibliographic record
Abstract
Abstract Objective We hypothesized that CO2 and H+ stimulate capillaries and arterioles to produce local and conducted vasodilations required to coordinate the distribution of blood flow to contracting skeletal muscle fibers. Methods CO2 and H+ independently and in combination were applied to 2A arterioles (first branch order from the 1A feed arteriole) and capillaries of the in situ, blood‐perfused hamster cremaster muscle. The resulting local and conducted vasodilations were measured. Results H+ (pH: 7.2‐6.6) and CO2 (5% and 10%) applied to the vascular network induced 2A arteriolar vasodilations, while 15% CO2 produced vasoconstriction. Localized application of H+ produced 2A arteriolar vasodilation, while 15% CO2 resulted in a variable response. Simultaneous application of CO2 and H+ did not result in the predicted additive effects. Application of CO2 and H+ alone or combined on arterioles or capillaries did not induce a conducted response. Conclusions CO2 and H+ produce arteriolar vasodilation but, critically, cannot stimulate the spread of vasodilation throughout the network, thus limiting their ability to coordinating blood flow to contracting skeletal muscle fibers. Given their potential for interaction, the importance of CO2 and H+ may lie in their ability to modify the effects of other vasodilators.
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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) | 0.001 | 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".