Pathways used to transmit conducted dilations are dependent on the stimulus used to initiate the conducted response
Bibliographic record
Abstract
We hypothesized that the pathways utilized for conducted dilations along skeletal muscle microvasculature are dependent on the dilator used to initiate the conducted response. We initiated conducted responses by micropipette application of either 10 −4 M acetylcholine (ACh) or 10 −5 M pinacidil (PIN, a K ATP channel opener) to the capillaries or the transverse arteriole (TA, located three branch orders proximal to the capillaries) in the anaesthetized hamster cremaster muscle model in situ. When the capillaries were stimulated we observed changes in diameter of the arteriole directly supplying the capillaries and when the TA was stimulated we observed the TA approx. 1000um upstream (US) and downstream (DS) from the site of dilator application. We reapplied ACh and PIN after a 30 min micropipette application of 40uM 18‐B‐glycyrrhetinic acid (BGA), a gap junction uncoupler, between sites of initiation and observation. Significant conducted dilations were produced in proximal arterioles when either ACh (3.6+/−0.9um) or PIN (3.1+/−0.5um) was applied to the capillaries. BGA significantly attenuated dilation to ACh (0.6+/−0.2um) but not dilations to PIN (3.4+/−0.8um). Significant conducted dilations were observed on the TA in response to both ACh (US: 9.6+/−2.0um, DS: 7.8+/−2.4um) and PIN (US: 5.2+/−1.4um, DS: 7.0+/−1.7um). BGA attenuated the conducted responses to ACh (US: 4.4+/−1.8um, DS: 2.6+/−1.6um), but not to PIN (US: 5.1+/−1.4um, DS: 10.9+/−4.4um). Therefore, conducted responses may use different transmission pathways that are dependent on the stimulus initiating the conducted response. NSERC and PREA.
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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 | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".