Arterial Stiffening with Ultrafast Ultrasound Imaging Gives New Insight into Arterial Phenotype of Vascular Ehlers-Danlos Mouse Models
Bibliographic record
Abstract
OBJECTIVE: Vascular Ehlers-Danlos syndrome (vEDS) is associated with arterial ruptures due to a mutant gene encoding collagen type III (Col-III). To better understand the role of Col-III, we aimed at evaluating aortic stiffness and dynamic stiffening in vEDS mouse models, with either a quantitative (col3KO mice) or a qualitative Col-III defect (col3KI mice). MATERIALS AND METHODS: Abdominal aortic wall pulse wave velocities (PWV) in col3KO and col3KI mice were compared to their respective wild type (WT) littermates using a 15 MHz ultrafast ultrasonic transducer. A carotid catheter continuously monitored pressure changes due to phenylephrine injections. PWV1, generated at diastolic blood pressure (DBP), and PWV2, at systolic blood pressure (SBP) were recorded. Difference between PWV2 and PWV1 (Delta-PWV) normalized by the pulse pressure (PP), corresponding to the aortic stiffening over the cardiac cycle, were compared between mutant and WT mice, as well as the regression slope of PWV as a function of pressure. RESULTS: Delta-PWV/PP was lower in col3KO (p = 0.033) and col3KI mice (p < 0.001) vs. WT-mice regardless of the pressure level. The slope of PWV1 with DBP increase showed a lower arterial stiffness in mutant mice vs. controls in both models. This difference was amplified when evaluating stiffness at systolic blood pressure levels with PWV2. CONCLUSION: In both vEDS mouse models, aortic stiffening was reduced, mainly driven by a lower stiffness at systolic blood pressure. Defective Col-III may be responsible for this, as it is utilized when pressure rises. These pre-clinical data could explain vascular fragility observed in vEDS patients.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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 | 0.001 |
| 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".