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Record W2152272441 · doi:10.1080/08977190600621362

Early injection of OP-1 during distraction osteogenesis accelerates new bone formation in rabbits

2006· article· en· W2152272441 on OpenAlexaff
Manuela Mandu-Hrit, Tasima Haque, Dominique Lauzier, Maria Kotsiopriftis, Frank Rauch, Maryam Tabrizian, Janet E. Henderson, Reggie C. Hamdy

Bibliographic record

VenueGrowth Factors · 2006
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicCraniofacial Disorders and Treatments
Canadian institutionsMcGill-Queen's University PressMcGill UniversityMontreal Children's Hospital
Fundersnot available
KeywordsDistractionDistraction osteogenesisBone formationOsteotomyDensitometryDownregulation and upregulationMedicineBone healingChemistryDentistryAnatomyInternal medicineBiologyNeuroscienceGene

Abstract

fetched live from OpenAlex

Distraction osteogenesis (DO) is a surgical technique for generating new bone by applying controlled distraction of two bony segments post osteotomy. A limitation of the technique is the long time required for the new bone to consolidate. We investigated the effect of injecting osteogenic protein 1 (OP-1) at the beginning of distraction in a rabbit model of DO. Regenerate bone was evaluated using radiology, densitometry, micro-computed tomography (microCT) and histomorphometry. Immunohistochemsitry was used to evaluate changes in expression of various ligands, growth factors and receptors following OP-1 treatment. Compared to the control, a two-fold increase in bone volume was apparent for treated groups at 3 weeks post injection. An upregulation of almost all of the 41 genes examined was observed. Results suggested that applying OP-1 early during distraction can accelerate bone formation by the activation of numerous pathways. This study provides further insights on strategies to improve bone regeneration rate in DO.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.173
Threshold uncertainty score0.576

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.008
GPT teacher head0.216
Teacher spread0.208 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

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".

Quick stats

Citations32
Published2006
Admission routes1
Has abstractyes

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