Effects of alendronate and vitamin D on plasma metabolomic profiles in a rat model of osteoporosis
Bibliographic record
Abstract
BACKGROUND: Osteoporosis is a progressive bone disease and a significant global health issue, which places a serious economic and health burden on families and societies. Nitrogenated bisphosphonate drugs remain the first line therapy for treating osteoporosis, however their impact on bone cell metabolism and bone health after long term usage is difficult to determine for individual patients. As such, this study aimed to identify the metabolites in plasma that may serve as a diagnostic mechanism for measuring the extent of bisphosphonate drug suppression of bone loss in patients following long-term bisphosphonate drug therapy, and after active vitamin D stimulation of bisphosphonate-suppressed bone metabolism. Our approach was to evaluate combinations of alendronate bisphosphonate and active vitamin D treatment on those same plasma metabolites in an established rat model of osteoporosis, secondary to surgical ovariectomy. METHODS: Metabolomic analyses were performed using the commercially available Biocrates p180 metabolomics kit, which was run on a Sciex Qtrap 4000 mass spectrometer equipped with an Agilent HPLC system. Thirty 6-month old ovariectomized (OVX) rats were randomly assigned into three experimental groups, namely, control OVX rats, OVX rats dosed with alendronate, and a final group of OVX rats dosed with a combination of alendronate and active vitamin D. We used in vivo micro-Computed Tomography (μCT) imaging to confirm the developing osteoporosis phenotype in all ovariectomized rats, initially at baseline, and once more at the study endpoint of 8 weeks. Plasma from all rats was also collected at baseline and at 8 weeks and subjected to metabolomics analysis to identify potential osteoporosis biomarkers. We also determined the correlation between bone volume and specific plasma metabolites in an effort to create an osteoporosis screening tool of bisphosphonate drug metabolic suppression for potential use in clinical practice. RESULTS: Our analyses indicated that alendronate regulated several key plasma metabolites, including certain amino acids, lipids, and glucose, which are likely involved in bone resorption and formation. A distinct metabolite "fingerprint" was observed in all treatment groups compared to the control, with notable differences in metabolic changes. There was a correlation between four metabolites (proline, trans-hydroxyproline, histamine, and methionine) and micro-CT measured percent bone volume, indicating significant changes following ovariectomy surgery and with drug treatments. CONCLUSIONS: For our study, metabolomic profiling served as a useful research tool for elucidating the biological activity and toxicity of bisphosphonate drugs on metabolic bone cell activity. The approach could significantly aid in gauging the impact of long-term bisphosphonate drug usage in osteoporosis patients, for the assessment of osteoporosis drug therapy effectiveness, and to potentially avoid bisphosphonate-related adverse events of bone metabolism suppression. Our study outcomes suggest potential avenues for further research, although unexpected adverse events associated with active vitamin D treatment necessitate caution with interpretation. As such, our findings regarding the impact of vitamin D are exploratory in nature and require additional studies to confirm those findings.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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) | 0.001 | 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".