Heparan sulphate and hyaluronic acid components of the glycocalyx do not play a role in flow-mediated dilation of the iliac in the anaesthetized pig
Bibliographic record
Abstract
The shear-stress sensor function of vascular glycocalyx heparan sulphate and hyaluronic acid was investigated in vivo by assessing flow-mediated dilation before and after their removal. Heparinase III exposure (100 mU·mL−1 for 20 min;n = 6) did not significantly affect flow-mediated dilation of the iliac, from 0.42 ± 0.08 mm (mean ± SEM) to 0.34 ± 0.07 mm after (P = 0.12; paired Student’s t test) for a statistically similar increase in shear stress; 18.24 ± 4.2 N·m−2 for the control and 15.8 ± 3.6 N·m−2 for the heparinase III experiment (P = 0.18). Hyaluronidase exposure (0.14–1.4 mg·mL−1 for 20 min; n = 8) also did not significantly reduce flow-mediated dilation of the iliac, which averaged 0.39 ± 0.08 mm before and 0.38 ± 0.09 mm after (P = 0.11) for a statistically similar increase in shear stress; 11.90 ± 3.20 N·m−2 for the control and 9.8 ± 3.33 N·m−2 for the hyaluronidase experiment (P = 0.88). Removal of both heparan sulphate and hyaluronic acid was confirmed using immunohistochemistry. Neither the heparan sulphate nor the hyaluronic acid components of the glycocalyx mediate shear-stress-induced vasodilation in conduit arteries in vivo.
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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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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".