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
Bibliographic record
Abstract
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 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) | 0.000 | 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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".