Mechanisms by which Bis(Maltolato)Oxovanadium(IV) Normalizes Phosphoenolpyruvate Carboxykinase and Glucose-6-Phosphatase Expression in Streptozotocin-Diabetic Rats<i>in Vivo</i>
Bibliographic record
Abstract
Vanadium treatment normalizes plasma glucose levels in streptozotocin-diabetic rats in vivo, but the mechanism(s) involved are still unclear. Here, we tested the hypothesis that the in vivo effects of vanadium are mediated by changes in gluconeogenesis. Diabetic rats were treated with bis(maltolato)oxovanadium(IV) (BMOV) in the drinking water (0.75-1 mg/ml, 4 wk) or, for comparison, with insulin implants (4 U/d) for the final week of study. As with insulin, BMOV lowered plasma glucose and normalized phosphoenolpyruvate carboxykinase (PEPCK) and glucose-6-phosphatase (G-6-Pase) mRNA in the liver and kidney of diabetic rats. To determine the importance of reducing hyperglycemia per se, diabetic rats were treated either with a single ED(50) dose of BMOV (0.1 mmol/kg, ip) or with phlorizin (900 mg/kg.d, 5 d). BMOV rapidly restored PEPCK and G-6-Pase mRNA and normalized plasma glucose in responsive (50%) diabetic rats but had no effect on the nonresponsive hyperglycemic rats. Phlorizin corrected plasma glucose but had no effect on PEPCK mRNA and only partially normalized G-6-Pase mRNA. In conclusion, 1) BMOV inhibits PEPCK mRNA expression and activity by rapid mechanisms that are not reproduced simply by correction of hyperglycemia; and 2) BMOV inhibits G-6-Pase expression by complex mechanisms that depend, in part, on correction of hyperglycemia.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".