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Effects of Osteoblast‐Specific Gα <sub>S</sub> Over‐Expression on Skeletal Development Using a Transgenic Mouse Model

2017· article· en· W4389006813 on OpenAlexafffundabout
Lucia Zhang, Kim S. Sugamori, Colin Claridge, Ariana Dela Cruz, Jane Mitchell, Marc D. Grynpas

Bibliographic record

VenueThe FASEB Journal · 2017
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicMetabolism, Diabetes, and Cancer
Canadian institutionsLunenfeld-Tanenbaum Research InstituteUniversity of TorontoMount Sinai Hospital
FundersUniversity of Toronto
KeywordsOsteoblastEndocrinologyInternal medicineChemistryHeterotrimeric G proteinGenetically modified mouseCortical boneTransgeneBone remodelingBone cellReceptorG proteinBiologyAnatomyMedicineIn vitroBiochemistry

Abstract

fetched live from OpenAlex

Gα S is a heterotrimeric G protein that transduces signals from activated G protein‐coupled receptors on the cell surface to stimulate intracellular signaling cascades. In bone, Gα S is known to play a central role in mediating numerous growth and maintenance processes including bone formation and turnover. Clinically, constitutive activity of Gα S results in fibrous dysplasia of the bone, while a 50% reduction in Gα S activity results in pseudohypoparathyroidism and Albright hereditary osteodystrophy. Our lab has previously found a 6‐fold variation in Gα S protein levels in lymphocytes from children, suggesting significant variability in cellular Gα S levels amongst individuals. To examine the effects of increased osteoblastic Gα S expression on bone in vivo , we generated a transgenic mouse model of Gα S over‐expression in osteoblasts (Gs‐Tg mice) driven by the 3.6 kb Col1A1 promoter. At both the RNA and protein levels, expression of total Gα S was significantly increased specifically in bone and teeth of Gs‐Tg mice compared to wild‐type (WT) mice. Micro‐computed tomography (micro‐CT) assessment showed increased volumetric bone mineral density in trabecular bone of 9‐week old Gs‐Tg mice accompanied by increased trabecular number and bone volume. Moreover, increased cortical bone volume was observed in Gs‐Tg mice despite reduced size and increased porosity. These properties contributed to drastically increased brittleness of Gs‐Tg cortical bone displayed through mechanical testing. Static histomorphometry of long bones showed Gs‐Tg mice had increased growth plate heights and disorganization of growth plate chondrocytes. In concordance, dynamic histomorphometry of trabecular bone revealed disorganized and diffuse calcein green labelling. Follow‐up analyses revealed that the skeletal phenotype of Gs‐Tg mice was not resolved after skeletal maturity at 26‐weeks of age, with pronounced progression particularly in trabecular bone. Further accrual of trabecular bone occurred in Gs‐Tg mice, whereas a loss of bone was observed in WT mice. In Gs‐Tg long bones, an expansion of the trabecular bone into the growth plate was seen histologically accompanied by a complete disruption and loss of growth plates. In addition, bone formation was persistently disorganized and diffuse at this age. The cortical bone of 26‐week WT and Gs‐Tg mice was similar in size, however the increased porosity persisted in Gs‐Tg mice. Mechanical testing showed that cortical bone was much weaker in Gs‐Tg mice compared to WT. In summary, our findings suggest that high osteoblastic Gα S expression results in aberrant skeletal development in which bone production is favoured at the cost of bone quality. Support or Funding Information This project is funded by Canadian Institutes of Health Research (CIHR). Graduate support to LZ, CC, and AD was provided from the Department of Pharmacology and Toxicology at the University of Toronto. LZ and AD were also supported by Ontario Graduate Scholarships, as well as scholarships from the Bone and Mineral Group at the University of Toronto.

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 score0.002
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.000
Science and technology studies0.0000.001
Scholarly communication0.0010.000
Open science0.0010.000
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0020.001

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.

Opus teacher head0.016
GPT teacher head0.246
Teacher spread0.230 · 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
Published2017
Admission routes3
Has abstractyes

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