MétaCan
Menu
Back to cohort
Record W2496209136 · doi:10.1021/bk-2007-0974.ch008

Comparing Administration Route in Rats with Streptozocin-Induced Diabetes and Inhibition of Myoblast Growth of Vanadium [V(III), V(IV), and V(V)] Dipicolinic Acid Complexes

2007· book-chapter· en· W2496209136 on OpenAlexaff
Gail R. Willsky, Michael E. Godzalla, Paul J. Kostyniak, Lai-Har Chi, Rohit Gupta, Violet G. Yuen, John H. McNeill, Mohammad Mahroof‐Tahir, Jason J. Smee, Luqin Yang, Aaron Lobernick, Shari Watson, Debbie C. Crans

Bibliographic record

VenueACS symposium series · 2007
Typebook-chapter
Languageen
FieldChemistry
TopicVanadium and Halogenation Chemistry
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsVanadiumDiabetes mellitusInternal medicineStreptozocinChemistryPopulationDipicolinic acidEndocrinologyMedicineBiologyInorganic chemistryStreptozotocin

Abstract

fetched live from OpenAlex

The V(V) dipicolinic acid complex was the most potent complex in two administration routes for reducing diabetic hyperglycemia or hyperlipidemia. After V(V) dipic treatment in both routes an inverse correlation of the blood/serum vanadium pool versus blood/plasma glucose pool was found. This is the first vanadium complex to show such a correlation in any diabetic population. The distribution in blood of V(V) and V (IV) dipic complexes was best modeled with a 2- compartment model after acute administration. Only the V(III) and V(V) dipic complexes stimulated myoblast growth at 1 μM complex, while all complexes inhibited growth at higher concentrations. These experiments show that the oxidation state of the vanadium in dipic complexes affects biological efficacy and that processing of the V(V) dipic complex is different fom that of the lower oxidation states. These results also show that effects of vanadium complexes on rat myoblasts are similar to those observed in diabetic animals administered compounds intraperitoneally.

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 categoriesMeta-epidemiology (narrow)
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 score0.061
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
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 head0.021
GPT teacher head0.226
Teacher spread0.206 · 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 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

Citations9
Published2007
Admission routes1
Has abstractyes

Explore more

Same venueACS symposium seriesSame topicVanadium and Halogenation ChemistryFrench-language works237,207