Effects of female sex hormones on expression of the Ang-(1–7)/Mas-R/nNOS pathways in rat brain
Bibliographic record
Abstract
Female sex hormones are considered to reduce the risk of ischemic stroke. As a part of the renin-angiotensin system, angiotensin-(1-7) [Ang-(1-7)] has recently been reported to play a role in protecting neuronal tissues from ischemic stroke. Thus, we examined the effects of female sex hormones on the levels of Ang-(1-7) and its downstream pathways in the brain. Female rats were ovariectomized and 17β-estradiol (17β-EST), progesterone (PGR), or a combination of 17β-EST plus PGR were administered. Our data demonstrated that lack of female sex hormones significantly decreased the levels of Ang-(1-7) in the cerebral cortex and hippocampal CA1 area. Also, we observed a linear relationship between cortex levels of Ang-(1-7) and plasma brain natriuretic peptide levels (as an indicator for risk of ischemic stroke). We further showed that lack of female sex hormones decreased the expression of Ang-(1-7), Mas-receptor (Mas-R), and neuronal nitric oxide synthase (nNOS). Overall, our findings show for the first time that Ang-(1-7) and Mas-R/nNOS in the cortex are influenced by circulating 17β-EST and (or) PGR, whereas Ang-(1-7) and its pathways in the hippocampal CA1 area are primarily altered by 17β-EST. This suggests that female sex hormones play a role in regulating the expression of Ang-(1-7) and its pathways during ischemic brain injuries.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".