Genetic reduction or deletion of osteopontin in osteomalacic <i>Hyp</i> mice fails to ameliorate dentoalveolar defects
Bibliographic record
Abstract
Abstract X-linked hypophosphatemia (XLH) is caused by inactivating mutations in PHEX, leading to disturbed mineral metabolism, rickets, and osteomalacia. Dentoalveolar defects affecting dentin, cementum, and alveolar bone, contribute to dental abscesses and periodontal breakdown. Limited efficacy of current therapies for ameliorating XLH-associated dentoalveolar effects suggests mechanisms of disease that remain unchecked. Increased production and abnormal distribution of osteopontin (OPN) is thought to contribute to XLH-associated mineralization defects. Osteopontin is a secreted phosphoprotein and mineralization inhibitor, and a substrate of PHEX. To investigate the potential role of OPN in the pathology of XLH-associated dentoalveolar defects, a genetic approach was used to ablate or diminish Spp1/OPN in the Hyp mouse model of XLH. One or both Spp1 alleles in Hyp mice were deleted and tissues were analyzed at 60 d postnatally (dpn). Micro-CT showed no differences in volumes or densities of dentin and alveolar bone in Hyp mice lacking one or both Spp1 alleles, as compared to control Hyp mice. Histological assessment showed no improvements in cementum or periodontal ligament attachment, and dynamic mechanical analysis revealed no normalization of periodontal mechanical properties. While OPN may play a role in regulating dentoalveolar mineralization, diminishing OPN alone was not sufficient to substantially ameliorate XLH-associated defects.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| 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".