Phenylephrine induces conducted constrictions in the uterine vasculature of the pregnant mouse in situ.
Bibliographic record
Abstract
Upon implantation, maternal‐ and fetal‐derived signals adapt the uterine vasculature to ensure adequate blood flow to the developing embryo. Conducted responses are important in matching blood flow to tissue metabolism, therefore they could represent a means by which fetal metabolism may influence maternal blood flow. To determine whether conducted responses exist in the uterine vasculature, we developed an in‐situ mouse model to measure blood vessel reactivity within this vasculature. The blood vessels were visualized by staining the endothelium with Isolectin Alexa‐Fluor 488 (0.067M). 10‐4M phenylephrine (PHE) was applied directly to the uterine artery (max diameter approx. 70 um). Vessel diameter was measured at the site of application and two downstream sites: the first >1000um downstream and the second 1000um further downstream from the site of application. Direct PHE application caused the uterine artery to constrict 31.4 +/− 4.9um (n = 9). Significant conducted constrictions to PHE were observed; 14.5 +/− 3.7um (n = 5) and 17.9 +/– 7.4um (n = 5) for the first and second downstream sites respectively. Direct application of PHE to the first and second downstream sites yielded constrictions of 45.1 +/− 11.7um and 40.3 +/− 12.6um respectively. These data show that conducted constrictions exist within this vasculature and suggest the possibility of fetal control of the maternal vasculature. NSERC and CIHR.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| 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 | 0.001 | 0.002 |
| 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".