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Record W2146850971 · doi:10.1016/j.molmet.2013.08.004

In vivo analysis of the contribution of bone resorption to the control of glucose metabolism in mice

2013· article· en· W2146850971 on OpenAlexaff
Julie Lacombe, Gérard Karsenty, Mathieu Ferron

Bibliographic record

VenueMolecular Metabolism · 2013
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicBone Metabolism and Diseases
Canadian institutionsUniversité de MontréalMontreal Clinical Research Institute
FundersNational Institute of Arthritis and Musculoskeletal and Skin DiseasesNational Institute of Diabetes and Digestive and Kidney DiseasesNational Institutes of Health
KeywordsOsteocalcinEndocrinologyInternal medicineBone remodelingCarbohydrate metabolismMetabolismChemistryIn vivoOsteoprotegerinBone resorptionHormoneBiologyActivator (genetics)MedicineBiochemistryReceptorAlkaline phosphatase

Abstract

fetched live from OpenAlex

Osteocalcin is a hormone produced in bones by osteoblasts and regulating energy metabolism. While osteocalcin exists in two forms, γ-carboxylated and undercarboxylated only the latter appears to function as a hormone in vivo. It has been proposed recently that osteoclasts, the bone-resorbing cells, are responsible of decarboxylating, i.e. activating osteocalcin. To address the role of osteoclasts in the maintenance of energy metabolism we analyzed mutant mouse strains harboring either an increase or a decrease in osteoclasts number. Osteoprotegerin-deficient mice that are characterized by an increase in the number of osteoclasts demonstrate an increase in serum levels of undercarboxylated osteocalcin and are significantly more glucose tolerant than WT animals. Conversely, osteoclasts ablation in mice results in a decrease in serum undercarboxylated osteocalcin levels and in reduced glucose tolerance. These results support the notion that osteoclasts are controlling glucose metabolism at least in part through the regulation of osteocalcin decarboxylation.

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 score0.003
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0000.001
Scholarly communication0.0010.000
Open science0.0010.000
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0030.001

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 head0.003
GPT teacher head0.215
Teacher spread0.212 · 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

Citations90
Published2013
Admission routes1
Has abstractyes

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