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Record W2101590388 · doi:10.3892/ijmm_00000233

Bis(maltolato)-oxovanadium (IV)-induced phosphorylation of PKB, GSK-3 and FOXO1 contributes toits glucoregulatory responses (Review)

2009· review· en· W2101590388 on OpenAlexafffund
Srivastava

Bibliographic record

VenueInternational Journal of Molecular Medicine · 2009
Typereview
Languageen
FieldChemistry
TopicVanadium and Halogenation Chemistry
Canadian institutionsCentre Hospitalier de l’Université de Montréal
FundersCanadian Institutes of Health Research
KeywordsProtein kinase BGlycogen synthaseFOXO1ChemistryPhosphorylationGSK-3Insulin receptorInsulinActivator (genetics)Glucose uptakeCell biologyBiochemistryEndocrinologyInternal medicineInsulin resistanceBiologyReceptorMedicine

Abstract

fetched live from OpenAlex

Over the last several decades, a large body of evidence has accumulated to suggest that organo-vanadium compounds (OVC) are more potent than inorganic vanadium salts in regulating hyperglycemia and insulin-resistance in rodent models of both type I and type II diabetes. Among these OVC, vanadium (IV) oxo bis(maltolato) (BMOV) was the first to be investigated for its higher potency over inorganic vanadium salts in eliciting insulin-like properties in both in vitro and in vivo systems. While the precise molecular mechanism by which BMOV exerts its insulin-mimetic effects remains poorly defined, studies have shown that BMOV is a potent activator of several key components of the insulin signaling pathways, such as phosphatidyl-inositol 3-kinase (PI3-K), and its downstream effector, protein kinase B (PKB). In addition, BMOV-induced phosphorylation of PKB has also been associated with the enhanced phosphorylation of glycogen synthase kinase-3 (GSK-3) and forkhead box protein 1 (FOXO1). Since PKB is instrumental in mediating the effects of insulin on glucose transport, glycogen synthesis and gluconeogenesis, it is reasonable to suggest that activation of this pathway by BMOV serves as a mechanism for its insulin-like effects.

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)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.917
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.027
GPT teacher head0.332
Teacher spread0.305 · 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.

Study designOther design
Domainnot available
GenreReview

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

Citations35
Published2009
Admission routes2
Has abstractyes

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