Low-dose spironolactone abates cardio-renal disorder by reduction of BAX/inflammasome expression in experimentally induced polycystic ovarian syndrome rat model
Bibliographic record
Abstract
The impact of low-dose spironolactone (LSPL) on polycystic ovarian syndrome (PCOS)-associated cardio-renal disorder is unknown. Therefore, the present study hypothesized that LSPL would ameliorate cardio-renal disorders in experimental PCOS animals. Eight-week-old female Wistar rats were allotted into three groups. The control group received vehicle (distilled water; per os (p.o.)), the letrozole (LET)-treated group designated as PCOS group received LET (1 mg/kg; p.o.), and PCOS+LSPL received LET and LSPL (0.25 mg/kg, p.o.). The treatment was done once daily for 21 days uninterrupted. The experimental PCOS rats were characterized with insulin resistance, as well as elevated testosterone and luteinizing hormone/follicle-stimulating hormone, with a significant increase in cardiac and renal lipid profile, oxidative stress, inflammatory biomarkers (nuclear factor-κB and tumor necrosis factor-α), lactate dehydrogenase and lactate content and decrease in cardiac and renal antioxidant system (glutathione peroxidase and reduced glutathione) compared with the control rats. In addition, immunohistochemical assessment of cardiac and renal tissue showed significant expression of inflammasome and B-cell lymphoma-2 associated X-protein (BAX) in animals with PCOS. Nevertheless, these perturbations were attenuated following the administration of LSPL. Collectively, the present results suggest that LSPL attenuates PCOS-associated cardio-renal disorders by reduction of oxidative stress and BAX/inflammasome expression.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.000 | 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) | 0.002 | 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".