Alterations of Inflammatory and Matrix Production Indices in Celiac Disease With Low Bone Mass on Long-term Gluten-free Diet
Bibliographic record
Abstract
BACKGROUND: A clinically meaningful impairment of bone mass secondary to malabsorption is frequent in untreated celiac disease. In adult patients, a rigorous gluten-free diet (GFD) significantly improves, but does not always normalize, bone mineral density (BMD). The reason for this marginal response is unclear. Accordingly, we evaluated the role of both local and systemic factors for bone loss in celiac patients on long-term GFD. STUDY: In a prospective cohort, 22 patients with low lumbar and/or femoral BMD and 22 with normal BMD underwent bone and mineral metabolism evaluation: we tested calcium, phosphate, parathyroid hormone, and vitamin D; telopeptide of type I collagen, a bone resorption index; propeptide of type I procollagen, a bone neoformation index; receptor antagonist of NF-kB ligand, an osteoclast-stimulating factor; osteoprotegerin (OPG), a decoy receptor for RANKL. Sunlight exposure and physical exercise were measured. RESULTS: Patients with bone loss showed prevalently osteopenia, severe osteoporosis was rare. In comparison with normal BMD patients, they showed higher serum OPG, telopeptide, and lower serum propeptide, suggesting an increased bone turnover. Lumbar T-score was negatively correlated with OPG, telopeptide and RANKL and positively with propeptide. Propeptide was negatively correlated with OPG and telopeptide. OPG was positively correlated with telopeptide. CONCLUSIONS: The persistent activation of inflammation should be considered the main pathophysiological mechanism for bone defect in celiac disease patients with bone loss on long-term GFD. High levels of OPG, an attempt at protective mechanism, and low levels of propeptide of type I procollagen, reflecting an insufficient matrix production, characterize this subgroup of patients.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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".