Protection from vascular dysfunction in female rats with chronic stress and depressive symptoms
Bibliographic record
Abstract
The increasing prevalence and severity of clinical depression are strongly correlated with vascular disease risk, creating a comorbid condition with poor outcomes but demonstrating a sexual disparity whereby female subjects are at lower risk than male subjects for subsequent cardiovascular events. To determine the potential mechanisms responsible for this protection against stress/depression-induced vasculopathy in female subjects, we exposed male, intact female, and ovariectomized (OVX) female lean Zucker rats to the unpredictable chronic mild stress (UCMS) model for 8 wk and determined depressive symptom severity, vascular reactivity in ex vivo aortic rings and middle cerebral arteries (MCA), and the profile of major metabolites regulating vascular tone. While all groups exhibited severe depressive behaviors from UCMS, severity was significantly greater in female rats than male or OVX female rats. In all groups, endothelium-dependent dilation was depressed in aortic rings and MCAs, although myogenic activation and vascular (MCA) stiffness were not impacted. Higher-resolution results from pharmacological and biochemical assays suggested that vasoactive metabolite profiles were better maintained in female rats with normal gonadal sex steroids than male or OVX female rats, despite increased depressive symptom severity (i.e., higher nitric oxide and prostacyclin and lower H2O2and thromboxane A2levels). These results suggest that female rats exhibit more severe depressive behaviors with UCMS but are partially protected from the vasculopathy that afflicts male rats and female rats lacking normal sex hormone profiles. Determining how female sex hormones afford partial vascular protection from chronic stress and depression is a necessary step for addressing the burden of these conditions on cardiovascular health. NEW & NOTEWORTHY This study used a translationally relevant model for chronic stress and elevated depressive symptoms to determine how these factors impact conduit and resistance arteriolar function in otherwise healthy rats. While chronic stress leads to an impaired vascular reactivity associated with elevated oxidant stress, inflammation, and reduced metabolite levels, we demonstrated partial protection from vascular dysfunction in female rats with normal sex hormone profiles compared with male or ovariectomized female rats.
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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) | 0.003 | 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".