Effects of an Olive Oil-enriched Diet on Glucagon-like Peptide 1 Release and Intestinal Content, Plasma Insulin Concentration, Glucose Tolerance and Pancreatic Insulin Content in an Animal Model of Type 2 Diabetes
Bibliographic record
Abstract
In the light of a recent study conducted in normal rats, the present investigations were aimed at exploring the immediate and long-term effects of an olive oil-enriched diet (OO diet) on GLP-1 release and intestinal content, plasma insulin concentration, glucose tolerance and pancreatic insulin content in adult rats that had been injected with streptozotocin during the neonatal period (STZ rats). The OO diet, when compared to a standard diet, increased the immediate GLP-1 response in meal-trained rats, but decreased GLP-1 content in the intestinal tract after 50 days. Over 50 days, the body weight gain was lower in the rats fed the OO diet compared to standard diet. In the former, however, no improvement of glucose tolerance or insulin response during an oral glucose tolerance test was observed. Thus, a paradoxical lowering of the insulinogenic index, i. e. the paired ratio between plasma insulin and glucose concentration, was recorded during the oral glucose tolerance test in rats fed either standard or OO diet. Moreover, the insulin content of the pancreas was equally low in the STZ rats fed either standard or OO diet. These findings will be discussed in the framework of possible differences in the pathophysiology of B-cell dysfunction in most patients with type-2 diabetes and the present animal model of non-insulin-dependent diabetes.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 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".