Dose-response of estrogen on bone versus the uterus in ovariectomized mice
Bibliographic record
Abstract
BACKGROUND: Estrogen is known to have important effects on both reproductive and non-reproductive tissues. Moreover, there is increasing interest in developing compounds that may have selective effects on bone versus reproductive tissues. METHODS: Since mouse models are often used in these studies, we administrated increasing doses of estradiol (E2) (0 to 500 microg/kg/day) by slow release pellets to ovariectomized 6-month-old C57BL/6 mice and assessed skeletal and uterine responses following 2 months of treatment. RESULTS: The mice lost bone at multiple sites following ovariectomy (OVX); however, while the lowest E2 dose of 5 microg/kg/day completely prevented loss of cancellous bone (at the lumbar spine and tibial metaphysis), it had no stimulatory effects on the uterus. Higher doses of E2 resulted in further increases in bone mineral density, with eventual stimulation of the uterus at a dose of 40 microg/kg/day. By contrast, when 3-month-old C57BL/6 mice were administered the same doses of E2 and studied after 1 month, the 5 microg/kg/day dose resulted in uterine hypertropy, but was not able to prevent loss of cancellous bone. CONCLUSIONS: Thus these results (i) provide data on the dose-response for the effects of E2 on mouse bone and (ii) indicate that the relative effects of E2 on bone versus the uterus are highly dependent on the particular experimental conditions used. This issue needs to be considered in evaluating agents with potential 'selective' effects on bone versus reproductive tissues.
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 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".