Diosgenin does not express estrogenic activity: a uterotrophic assay
Bibliographic record
Abstract
This study assessed the effects of diosgenin on estrogenic activity using a uterotrophic assay. Immature female rats received diosgenin orally at doses of 200, 100, or 20 mg/kg body mass; and 17α ethynylestradiol at doses of 1 or 0.3 μg/kg, daily, for 3 consecutive days from day 19 to day 21. Controls were distributed among 2 groups: an intact control group and a vehicle control group. Animals were sacrificed 24 h after the last application of diosgenin, estradiol, or vehicle (22nd day of life). Uterine wet weight, stereological and histomorphometrical changes, immunohistochemical expression of estrogen receptor alpha (ERα), progesterone receptor (PR), and the expression of lactoferrin (LF) were examined. Diosgenin did not affect the uterine wet weight, epithelium height, volume densities of endometrium, endometrial epithelia, number of endometrial glands, or histological appearance of vaginal epithelia. ERα, PR, and LF immunostaining intensity were not altered in the animals that received diosgenin. High-potency reference ER agonist 17α-ethynylestradiol induced a significant increase in all of the measured parameters, and as expected, decreased ERα immunostaining intensity. Based on these data, it can be concluded that diosgenin, at doses of 20-200 mg/kg, did not act as an estrogen agonist in the immature rat uterotrophic assay.
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 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 | 0.000 | 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) | 0.002 | 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 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".