Effect of Aloe vera (Barbadensis Mill) on letrozole induced polycystic ovarian syndrome in swiss albino mice
Bibliographic record
Abstract
<br><b>Background:</b> Polycystic ovarian syndrome (PCOS) is the predominant endocrine abnormality in premenopausal women characterised by hyperandrogenism, ovulatory dysfunction, metabolic disturbances such as, insulin resistance and obesity. <b>Aim:</b> The key objective of this study was to evaluate the efficacy of <i>Aloe vera</i> as a treatment drug to identify the factors among female Swiss albino mice (PCOS) models displaying ovarian and metabolic abnormalities and serum sex steroids that are associated with insulin sensitivity. <b>Study Setting and Design:</b> The laboratory breed 4 months adult virgin female Swiss albino mice showing regular estrous cycle and weighing about 20–30 g were employed in present study under CPCSEA guidelines with ethical clearance from the institutional ethical committee. These mice were categorized into two groups with 10 mice in each as control and test animals. <b>Materials and Methods:</b> The mice which were categorised into two groups with 10 mice in each. Carboxy methyl cellulose control and letrozole were induced for 21 days followed by 30 days treatment with distilled water for control, Diane as standard drug and <i>Aloe vera</i> gel formulation. Body weight, estrous cycle, biochemical estimations, hormone assay and histopathology were the parameters studied. <b>Statistical Analysis:</b> IBM SPSS version 20.0 was used for the mean and standard error calculations of biochemical and antioxidants estimation. <b>Results:</b> During the induction period, we observed a significant increase in the body weight, decrease in the number of estrous cycle, and the concomitant increase in diestrous. The biochemical estimations showed changes in the regular activity; hormonal imbalance was observed in hormone assay and cyst formation was also observed in the histopathological study. After the treatment of <i>Aloe vera</i> and Diane, all the parameters showed considerable good results. <b>Conclusion:</b> The findings of the current study provide a baseline data for designing further investigations on the therapeutic benefits of <i>Aloe vera</i> as an adjunct therapy in the management of PCOS.<br>
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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 | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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) | 0.000 | 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".