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Record W7133041912

Vanadium treatment prevents bone loss and maintains bone quality in a combined osteoporosis and diabetes rat model

2006· dissertation· W7133041912 on OpenAlexfundno aff
Sai-Wing Andrew Chiu

Bibliographic record

VenueTSpace · 2006
Typedissertation
Language
FieldChemistry
TopicVanadium and Halogenation Chemistry
Canadian institutionsnot available
FundersBanting and Best Diabetes Centre, University of TorontoCanadian Institutes of Health ResearchUniversity of Toronto
KeywordsOsteoporosisOvariectomized ratDiabetes mellitusStreptozotocinType 2 diabetesBone mineralType 1 diabetes
DOInot available

Abstract

fetched live from OpenAlex

Vanadium-based drugs alleviate hyperglycemia in type 1 diabetes by enhancing the effects of insulin. Vanadium accumulates in bone as vanadate, replacing phosphate in the apatite lattice of bone mineral. Type 1 diabetes affects bone, causing an osteoporosis like syndrome. Some diabetic, post-menopausal women with osteoporosis may be treated with vanadium. It is necessary to examine how vanadium treatment affects such skeleton. Six-month old Wistar rats were ovariectomized to induce bone loss similar to post-menopausal osteoporosis. Streptozotocin was used to induce type 1 diabetes. Bis(ethylmaltolato) oxovanadium(IV) (BEOV), a vanadium-based anti-diabetic drug, was administered in drinking water for 12 weeks. Diabetes reduced bone mineral density (BMD), mechanical properties, crystal length, and trabecular architecture in osteoporotic bone. These were partially or completely corrected by BEOV treatment to controlled glucose. These results suggested that BEOV treatment helps to recover bone quality in type 1 diabetes primarily by improving the diabetic state.

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 score0.091
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
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 head0.016
GPT teacher head0.304
Teacher spread0.287 · 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

Citations0
Published2006
Admission routes1
Has abstractyes

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