Anti-Diabetic Activity and Mechanism of Action of Chromium Chloride
Bibliographic record
Abstract
Though supplementation of chromium has been found to improve deranged carbohydrate and lipid metabolism associated with suboptimal chromium intake in patients, its usefulness in the treatment of diabetes mellitus of variable etiology remains questionable. In the present investigation, the effect of 6 wk oral administration of chromium chloride (CC) on the glucose and lipid metabolism was studied in streptozotocin (STZ) diabetic and neonatal-STZ (nSTZ) diabetic rats. Further, its cellular mechanism was studied using 3T3-L1 adipocyte and C2C12 myoblast cell lines. Treatment with CC significantly improved the impaired glucose tolerance and insulin sensitivity of both STZ diabetic and nSTZ diabetic rats without any change in basal or glucose stimulated insulin response indicating insulin-sensitizing action of chromium. CC treatment also significantly improved deranged lipid metabolism. CC per se did not produce any effect in vitro, however, significantly increased insulin stimulated glucose uptake in C2C12 myoblasts and differentiation of 3T3-L1 preadipocytes into mature adipocytes supporting the in vivo insulin-sensitizing action of chromium. This study shows that CC exhibited significant anti-diabetic potential in chemically-induced diabetes in rats, the mechanism of which appears to be potentiation of insulin actions at the target tissues leading to improved peripheral insulin sensitivity.
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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) | 0.000 | 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) | 0.001 | 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".