Effect of Anti-TGF-β Treatment in a Mouse Model of Severe Osteogenesis Imperfecta
Bibliographic record
Abstract
ABSTRACT Osteogenesis imperfecta (OI) is a heritable bone fragility disorder that is usually caused by mutations affecting collagen type I encoding genes. Recent studies in mouse models of recessive OI, Crtap-/- mice, and dominant OI, +/G610C mice, found that application of a transforming growth factor beta (TGF-β) neutralizing antibody 1D11 rescues the bone phenotype. In the present study, we investigated TGF-β signaling in a mouse model of severe dominant OI with a high incidence of spontaneous fractures, Col1a1Jrt/+ mice, and the effect of TGF-β neutralizing antibody 1D11 on bone phenotype in 8-week-old mice. Col1a1Jrt/+ mice had elevated TGF-β signaling in bone tissue. Treatment of Col1a1Jrt/+ mice with 1D11 was associated with increased bone length but had no significant effect on bone mass or bone mechanical properties, and no significant treatment-associated differences in serum markers of bone formation (alkaline phosphatase activity) or resorption (tartrate-resistant acid phosphatase) were found. Our data thus indicate that the TGF-β neutralizing antibody 1D11 is not effective in a mouse model of dominant OI with a high incidence of spontaneous fractures. © 2018 American Society for Bone and Mineral Research.
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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) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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".