Metformin, sitagliptin, and liraglutide modulate serum retinol-binding protein-4 level and adipocytokine production in type 2 diabetes mellitus rat model
Bibliographic record
Abstract
Many adipocytokines correlate with obesity and insulin resistance. We examined the effects of metformin, sitagliptin, and liraglutide in diabetic rats. Group 1: control normal (CN) rats received oral saline daily. Group 2: diabetic non-treated (DNT) rats were injected with streptozotocin (STZ) to get diabetic then after 72 h received oral saline daily. Group 3: rats were injected with STZ then after 72 h were treated with metformin (200 mg/kg) orally. Group 4: rats were injected with STZ then after 72 h received sitagliptin 6 mg/kg orally twice daily. Group 5: rats were injected with STZ then after 72 h were treated with liraglutide at a dose of 0.3 mg/kg every 12 h subcutaneous injection. After 8 weeks, body mass, fasting blood glucose, adipocytokines, and lipid profile were assessed. From the results, we concluded that the 3 drugs improved blood glucose and insulin resistance with correction of adipocytokines serum levels; however, the liraglutide-treated group was the only group that showed significant body mass reduction.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| 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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".