Neonatal oxygen exposure leads to increased aortic wall stiffness in adult rats: a Doppler ultrasound study
Bibliographic record
Abstract
We have previously shown that neonatal high oxygen (O2) exposure in rats leads to hypertension and vascular dysfunction in adulthood. Pulse-wave velocity (PWV), an indirect measure of vascular biophysical properties (arterial stiffness or distensibility), is a sensitive marker of cardiovascular health. Its measurement in rats is mostly based on invasive hemodynamics measurements, prohibiting longitudinal studies particularly relevant in models of developmental programming of cardiovascular dysfunctions. With this study, we sought (1) to verify the feasibility and validity of measuring of aortic PWV in Sprague-Dawley rats by ultrasound; (2) to use the technique to compare aortic PWV in adult rats exposed to O2 as newborns (80% day 3-10 of life) v. controls; and (3) to develop an algorithm to calculate PWV in a non-invasive manner. We calculated aortic PWV using standard echocardiography and electrocardiogram, and validated the measures with PWV obtained by intraaortic catheters. Aortic full length was measured at sacrifice. PWV was significantly increased in O2 exposed (505 ± 18 cm/s) v. control animals (421 ± 17 cm/s, P < 0.01). With regard to weight, femur length and distance from the manubrium to the anal margin (MA length), the latter showed the best correlation (R = 0.84, P < 0.0001) with full aorta length derived from (L) = 0.339 × (MA length) + 4.281. The current data using echo-Doppler method demonstrated increased aortic stiffness in adult rats exposed to hyperoxia as newborns and suggests that non-invasive longitudinal studies of aortic PWV can be performed using the proposed algorithm for estimation of the full aorta length.
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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 | 0.001 | 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) | 0.001 | 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".