In vitro assessment of oxidative stress in the thoracic aorta of a mouse model of Marfan syndrome
Bibliographic record
Abstract
Marfan syndrome (MFS) is an autosomal dominant connective tissue disorder, and thoracic aortic aneurysm is a fatal complication. We have shown that MFS compromised aortic vasomotor functions. Endothelial dysfunction (ED) may be caused by oxidative stress where excessive reactive oxygen species interacts and degrades nitric oxide, reducing its bioavailability. Hypothesis: We hypothesized that oxidative stress contributed to ED in the thoracic aorta (TA) of Marfan syndrome. Thoracic aorta from mice (n = 20, 6 months) heterozygous for FBN1 allele (Fbn1C1039G/+, the most common class of MFS) were compared with those from control littermates. In the isometric force measurement, Marfan aorta demonstrated 40% reduction in phenylephrine (PE)‐induced contraction and 30% acetylcholine (ACh)‐mediated relaxation compared with the control. Preincubation with superoxide dismutase (SOD, 150 Units/ml), an enzyme converting superoxide to H2O2, and apocynin (100 μM), an NAD(P)H oxidase inhibitor, suppressed PE response but improved ACh‐relaxation to a greater extent in the Marfan TA. In conclusion, oxidative stress is elevated in the Marfan aorta, and the excess level of superoxide may cause ED. Project was funded by 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 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| 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 | 0.001 | 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".