Gender-related differences in left ventricular remodeling in chronic severe aortic valve regurgitation in rats.
Bibliographic record
Abstract
BACKGROUND AND AIM OF THE STUDY: Aortic valve regurgitation (AR) can result in heart failure from chronic overloading of the left ventricle. As little is known of gender-specific responses of the left ventricle to this condition, the study aim was to compare left ventricular (LV) remodeling in male and female rats with severe AR. In order to assess the impact of estrogens on LV remodeling in AR, the effect of ovariectomy (OVX) was also evaluated. METHODS: AR was created in adult Wistar rats (females (control or OVX) and males). Animals were followed for 26 weeks and compared to sham-operated groups. Heart function was evaluated in vivo using echocardiography, and the hearts were subsequently harvested for tissue analysis. RESULTS: The LV ejection fraction was decreased similarly in both sexes. Despite similar echocardiographic AR severity, females had higher indexed cardiac output and the largest increase in LV weight, cardiomyocyte hypertrophy and eccentric remodeling. No differences were observed between control and OVX females. Ovariectomy had no significant impact on any of the parameters monitored. CONCLUSION: Female rats developed more LV remodeling in response to chronic AR than males. AR appears to impose a greater LV workload on females due to their smaller body and heart size. Hormonal status did not have any impact on LV remodeling in this experimental model.
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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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".