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Record W2000622772 · doi:10.1055/s-2002-33256

Up-Regulation of Liver Glucose-6-Phosphatase in X-Linked Hypophosphatemic Mice

2002· article· en· W2000622772 on OpenAlexaff
Weihan Xie, Marie‐Claire Méchin, Séverine Dubois, Daniel Lajeunesse, G van de Werve

Bibliographic record

VenueHormone and Metabolic Research · 2002
Typearticle
Languageen
FieldMedicine
TopicGlycogen Storage Diseases and Myoclonus
Canadian institutionsCentre Hospitalier de l’Université de MontréalUniversité de Montréal
Fundersnot available
KeywordsHypophosphatemiaInternal medicineEndocrinologyGlucose 6-phosphataseGlucose homeostasisTranslocaseAlkaline phosphatasePhosphataseBiologyDownregulation and upregulationChemistryCarbohydrate metabolismInsulinEnzymeBiochemistryInsulin resistanceMedicineGeneChromosomal translocation

Abstract

fetched live from OpenAlex

We previously showed that a phosphate-deficient diet resulting in hypophosphatemia upregulated the catalytic subunit p36 of rat liver glucose-6-phosphatase, which is responsible for hepatic glucose production. A possible association between phosphate and glucose homeostasis was now further evaluated in the Hyp mouse, a murine homologue of human X-linked hypophosphatemia. We found that in the Hyp mouse as in the dietary Pi deficiency model, serum insulin was reduced while glycemia was increased, and that liver glucose-6-phosphatase activity was enhanced as a consequence of increased mRNA and protein levels of p36. In contrast, the Hyp model had decreased mRNA and protein levels of the putative glucose-6-phosphate translocase p46 and liver cyclic AMP was not increased as in the phosphate-deficient diet rats. It is concluded that in genetic as in dietary hypophosphatemia, elevated glucose-6-phosphatase activity could be partially responsible for the impaired glucose metabolism albeit through distinct mechanisms.

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)0.001
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 score0.767
Threshold uncertainty score0.478

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.068
GPT teacher head0.328
Teacher spread0.259 · 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

Citations12
Published2002
Admission routes1
Has abstractyes

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