Profile of Abaloparatide and Its Potential in the Treatment of Postmenopausal Osteoporosis
Bibliographic record
Abstract
Abaloparatide (previously known as BA058) is a synthetic 34-amino acid peptide and novel selective activator of parathyroid hormone receptor 1 (PTHR1) currently under development as a new anabolic agent in the management of osteoporosis. This paper reviews the profile and potential of abaloparatide in the treatment of postmenopausal osteoporosis. This paper is based on clinical trials and a PubMed search. Search terms used were "abaloparatide", "BA058", and "PTHrP". This review outlines the effects of this anabolic PTHR1 activator, which increases bone mineral density in patients at high risk for osteoporosis. The potential adverse effects of abaloparatide are also summarized. Abaloparatide has 41% homology to parathyroid hormone (PTH) (1-34) and 76% homology to parathyroid hormone-related protein (PTHrP) (1-34). The molecule was meticulously selected to retain stability and potent bone anabolic activity, and it has a limited effect on bone resorption (hence, a low calcium-mobilizing potential). Abaloparatide has shown promising results in a reduction of new onset vertebral (approximately 86% reduction) and nonvertebral fractures (approximately 43% reduction). In clinical trials to date, abaloparatide appears to have a good safety and tolerability profile with a significantly lower degree of hypercalcemia compared to that of teriparatide. Based on the clinical trials, the optimum dose of abaloparatide is 80 mcg subcutaneous once daily.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| 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) | 0.003 | 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".