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Record W3157410756 · doi:10.1210/jendso/bvab048.478

In Vivo Effects of Osteoblast-Specific Overexpression of Gα s and Gα q/11 on Bone Formation and Bone Remodeling During Fracture Healing

2021· article· en· W3157410756 on OpenAlexaff
Kathy Kyungeun Lee, Jane Mitchell

Bibliographic record

VenueJournal of the Endocrine Society · 2021
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicBone Metabolism and Diseases
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsBone healingOsteoblastBone remodelingBone resorptionEndocrinologyInternal medicineBone fractureIn vivoChemistryMedicineCell biologyBiologyAnatomyIn vitroBiochemistryGenetics

Abstract

fetched live from OpenAlex

Abstract Although the regenerative potential of bone is high, fracture healing is sometimes compromised resulting in fracture non-union. Successful prevention and treatment of non-union rely on accurate prognosis of fracture and treatment assignment but are often impeded by a high degree of heterogeneity in fracture pathogenesis and treatment response. Burgeoning evidence that indicates differential levels of G proteins among healthy populations offers a plausible explanation, since G protein signaling plays regulatory roles in bone development and remodeling. We previously demonstrated the in vivo effects of G protein level variation on bone development by characterizing the skeletal phenotypes of two transgenic mouse lines that overexpress normal Gα s (Gs-Tg) or Gα 11 (G11-Tg) in osteoblast lineage cells under the control of the 3.6-kb Col1a1 promoter. Gs-Tg mice showed high bone mass but diminished bone quality due to increased formation of woven bone and cortical porosity. Conversely, G11-Tg mice displayed a low bone mass phenotype with reduced bone strength primarily due to increased bone resorption. It still remains unclear, however, how variation in G protein signaling in osteoblasts affects the rate and quality of bone repair. To characterize bone healing in Gs-Tg and G11-Tg mice, we induced a stabilized transverse osteotomy in the tibia of wild-type, Gs-Tg or G11-Tg at 8 weeks of age and assessed the progression of bone healing at the tissue and molecular levels by Micro-CT, histomorphometry, and quantitative gene expression analysis at 1, 2, 3, and 4 weeks post-fracture. The effects of increased G protein signaling during repair on Wnt and Hh signaling, the two signaling pathways essential in osteogenesis, were also examined by assessing mRNA levels of key components of each pathway. Persistent upregulation of Wnt and Hh signaling in Gs-Tg fractures led to enhanced callus mineralization and new woven bone formation at the expense of cartilaginous callus formation and defective bone remodeling. G11-Tg fractures, in contrast, showed minimal changes in Wnt and Hh pathways and consequently led to only subtle changes in the healing response with a transient increase in callus mineralization followed by its rapid resorption. Our results indicate that G protein signaling in osteoblasts regulates bone formation and remodeling during fracture repair in part by tightly controlling the strength and duration of Wnt and Hh signaling pathways.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

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 integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.004
GPT teacher head0.225
Teacher spread0.221 · 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 source (direct Gemma or distilled Codex), 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

Citations0
Published2021
Admission routes1
Has abstractyes

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