Pretreatment with Anticatabolic Agents Blunts But Does Not Eliminate the Skeletal Anabolic Response to Parathyroid Hormone in Oophorectomized Mice
Bibliographic record
Abstract
Previous studies have indicated that bisphosphonate pretreatment can inhibit the anabolic actions of PTH. We examined the capacity of two anticatabolic agents with different mechanisms of action, alendronate and osteoprotegerin (OPG), to influence the anabolic activity of PTH. Oophorectomized mice were pretreated for 30 d with alendronate or OPG and then treated for 30 d with the respective anticatabolic alone or the respective anticatabolic plus PTH(1-34). Bones were analyzed by bone mineral density (BMD), microcomputed tomography, histology and histomorphometry, and biochemical bone markers. OPG pretreatment produced a greater inhibition of bone turnover and a greater increase in bone than alendronate. Increases in bone were sustained during subsequent treatment with vehicle or continued administration of the anticatabolic. Pretreatment with each anticatabolic blunted the capacity of PTH to increase BMD and bone volume and continued treatment with each anticatabolic agent also reduced the effectiveness of PTH. Although both anticatabolics decreased the maximal PTH effect, BMD and bone volume increased more when PTH was added than when only anticatabolics were used. These results demonstrate that mechanistically distinct anticatabolics may reduce PTH efficacy, that the characteristics of this inhibition may reflect the different modes of action of the anticatabolics, but that the addition of PTH still provides a skeletal benefit even if the anabolic effect is submaximal.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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) | 0.000 | 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".