β‐Catenin modulation in neurofibromatosis type 1 bone repair: therapeutic implications
Bibliographic record
Abstract
Tibial pseudarthrosis causes substantial morbidity in patients with neurofibromatosis type 1 (NF1). We studied tibial pseudarthrosis tissue from patients with NF1 and found elevated levels of β-catenin compared to unaffected bone. To elucidate the role of β-catenin in fracture healing, we used a surgically induced tibial fracture model in conditional knockout (KO) Nfl (Nf1(flox/flox)) mice. When treated with a Cre-expressing adenovirus (Ad-Cre), there was a localized knockdown of Nf1 in the healing fracture and a subsequent development of a fibrous pseudarthrosis. Consistent with human data, elevated β-catenin levels were found in the murine fracture sites. The increased fibrous tissue at the fracture site was rescued by local treatment with a Wingless-type MMTV integration site (Wnt) antagonist, Dickkopf-1 (Dkk1). The murine pseudarthrosis phenotype was also rescued by conditional β-catenin gene inactivation. The number of colony-forming unit osteoblasts (CFU-Os), a surrogate marker of undifferentiated mesenchymal cells able to differentiate to osteoblasts, correlated with the capacity to form bone at the fracture site. Our findings indicate that the protein level of β-catenin must be precisely regulated for normal osteoblast differentiation. An up-regulation of β-catenin in NF1 causes a shift away from osteoblastic differentiation resulting in a pseudarthrosis in vivo These results support the notion that pharmacological modulation of β-catenin can be used to treat pseudarthrosis in patients with NF1.-Ghadakzadeh, S., Kannu, P., Whetstone, H., Howard A., Alman, B. A. β-catenin modulation in neurofibromatosis type 1 bone repair: therapeutic implications.
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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) | 0.000 | 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 | 0.001 |
| 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".