Nitrogen-Bisphosphonate Therapy Is Linked to Compromised Coenzyme Q10 and Vitamin E Status in Postmenopausal Women
Bibliographic record
Abstract
BACKGROUND: Nitrogen-bisphosphonates (N-BPs) are the most widely used drugs for bone fragility disorders. Long-term or high-dose N-BP use is associated with unusual serious side effects such as osteonecrosis of the jaw, musculoskeletal pain, and atypical fractures of long bones. It has escaped notice that the pathway N-BPs block is central for the endogenous synthesis of coenzyme Q10, an integral enzyme of the mitochondrial respiratory chain and an important lipid-soluble antioxidant. Our objective was to assess the coenzyme Q10 and antioxidant status in relation to N-BP exposure in women with postmenopausal osteoporosis. METHODS: Seventy-one postmenopausal women (age, 73.5 ± 5.5 y) with osteoporosis and no other malignancy were included in this cross-sectional study. Seventeen were treatment naive, 27 were on oral N-BP, and 27 were on i.v. N-BP. RESULTS: Vitamin E γ-tocopherol levels (μmol/mL) were significantly reduced in N-BP users [oral, H(2) = 18.5, P = .02; i.v., H(2) = 25.2, P < .001; mean rank comparisons after Kruskal-Wallis test). Length of time (days) of N-BP exposure, but not age, was inversely associated with the coenzyme Q10/cholesterol ratio (μmol/mol) (β = -0.27; P = .025), which was particularly low for those on i.v. N-BP (mean difference = -35.0 ± 16.9; 95% confidence interval, -65.2 to -4.9; P = .02). CONCLUSION: The degree of N-BP exposure appears related to compromised coenzyme Q10 status and vitamin E γ-tocopherol levels in postmenopausal women with osteoporosis. This phenomenon may link to certain adverse N-BP-associated effects. Confirmation of this would suggest that therapeutic supplementation could prevent or reverse certain complications of long-term N-BP therapy for at-risk individuals.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 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 | 0.000 |
| 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".