Increased bone mass in male and female mice following tamoxifen administration
Bibliographic record
Abstract
Tamoxifen is capable of preserving bone mass in gonadectomized rodents as well as intact female mice; however, a detailed 3D quantitative analysis of the structural changes produced in the growing skeleton of intact mice of both genders by this agent is lacking. Employing quantitative microcomputed tomography (muCT), we assessed the effects of 4-hydroxytamoxifen (OHT) on the femora of C57BL/6J mice administered this agent either for 12 (males and females) or 2 (females) weeks. In mice of either gender, but especially in females, 12 weeks of OHT exposure led to dramatic increases in both cortical and trabecular bone. Females exposed to OHT for either 2 or 12 weeks demonstrated significantly increased cortical wall thickness, trabecular bone volume, connectivity, and number, as well as decreased trabecular separation. Significant increases in several of these parameters were also evident in males after 12 weeks of OHT administration. In view of the expanding use of OHT to induce Cre-mediated recombination events, our findings suggest that care should be exercised when interpreting the skeletal phenotypes of mice exposed this agent, particularly in situations where the effects of OHT might synergize with the phenotypic outcome of a specific genetic alteration.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 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".