Persistent Osteopenia in Adult Cystic Fibrosis Transmembrane Conductance Regulator–deficient Mice
Bibliographic record
Abstract
RATIONALE: A loss of function mutation in the cystic fibrosis transmembrane conductance regulator gene is believed to be an independent risk factor for bone disease in patients with cystic fibrosis. OBJECTIVES: The objective of this work was to use congenic mice as a preclinical model to examine the bone phenotype of Cftr(-/-) mice and control littermates at 8, 12, and 28 weeks of age. METHODS: The bone phenotype of control and Cftr(-/-) mice was evaluated by quantitative imaging, histologic and histomorphometric analyses, and serum levels of bone biomarkers. MEASUREMENTS AND MAIN RESULTS: At 12 weeks of age, Cftr(-/-) mice were smaller, had lower bone mineral density, cortical bone thinning, and altered trabecular architecture compared with Cftr(+/+) or Cftr(+/-) control mice. In skeletally mature 28-week-old mice, there were persistent deficits in cortical and trabecular bone structure in Cftr(-/-) mice despite significant, quantifiable improvements. Cftr(-/-) mice also had lower serum insulin-like growth factor-I levels at 12 weeks of age than did control mice, whereas parathyroid hormone and 25-hydroxyvitamin D levels were not significantly different. CONCLUSIONS: Persistent osteopenia and structural abnormalities in adult Cftr(-/-) mice, in the absence of overt respiratory and gastrointestinal disease, suggest that loss of Cftr function has a direct impact on bone metabolism in Cftr(-/-) mice that is not sex specific or subject to haplotype insufficiency.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".