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Record W4282920627 · doi:10.1530/joe-22-0045

Increased osteoblast GαS level determines bone response to hyperparathyroidism in female mice

2022· article· en· W4282920627 on OpenAlexaff
Lucia Zhang, Kathy K. Lee, Kim S. Sugamori, Marc D. Grynpas, Jane Mitchell

Bibliographic record

VenueJournal of Endocrinology · 2022
Typearticle
Languageen
FieldMedicine
TopicParathyroid Disorders and Treatments
Canadian institutionsLunenfeld-Tanenbaum Research InstituteUniversity of TorontoMount Sinai Hospital
Fundersnot available
KeywordsEndocrinologyInternal medicineOsteoblastCortical boneParathyroid hormoneChemistryBone remodelingHyperparathyroidismMedicineCalciumAnatomyIn vitro

Abstract

fetched live from OpenAlex

GS, the stimulatory heterotrimeric G protein, is an essential regulator of osteogenesis and bone turnover. To determine if increasing GαS in osteoblasts alters bone responses to hyperparathyroidism, we used a transgenic mouse line overexpressing GαS in osteoblasts (GS-Tg mice). Primary osteoblasts from GS-Tg mice showed increased basal and parathyroid hormone (PTH)-stimulated cAMP and greater responses to PTH than cells from WT mice. Skeletal responses to 2-week continuous PTH administration (cPTH) in female mice resulted in trabecular bone loss in WT mice but 74% and 34% increase in trabecular bone mass in long bones and vertebrae, respectively, in GS-Tg mice. Vertebral biomechanical strength was compromised by cPTH treatment in WT mice but not in GS-Tg. Increased peritrabecular fibrosis was greatly increased by cPTH in Gs-Tg compared to WT mice and corresponded with greater increases in Wnt pathway proteins in trabecular bone. Cortical bone responded negatively to cPTH in WT and Gs-Tg mice with large increases in porosity, decreased cortical thickness and compromised biomechanical properties. These results demonstrate that hyperparathyroidism can increase trabecular bone when GS expression and cAMP stimulation in osteoblasts are increased but this is not the case in cortical bone where increased GS expression exacerbates cortical bone loss.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.701
Threshold uncertainty score0.604

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
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 head0.037
GPT teacher head0.310
Teacher spread0.273 · 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 designObservational
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

Citations3
Published2022
Admission routes1
Has abstractyes

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