Serum insulin is lowered by rosehips in Sprague Dawley rats
Bibliographic record
Abstract
Type 2 diabetes (T2D) is associated with increased oxidative stress and inflammation, which impair insulin and glucose metabolism. Fruit and vegetables high in antioxidant compounds improve glucose and insulin metabolism in T2D. Rosehips contain significant levels of antioxidant and anti‐inflammatory compounds. The objective of this study was to determine if rosehips could positively influence glucose and insulin metabolism. Male Sprague‐Dawley rats were fed either AIN‐93 diet or AIN‐93G diet + 10% ground rosehips for two weeks. The diets were isonitrogenous and isocaloric; the animals were pair‐fed and meal trained to provide tight metabolic control. There was no significant difference in weight gain, serum triglycerides, glucose or total cholesterol between groups. However, the rosehip group had significantly lower (p<0.05) serum insulin levels (4.3±0.5 ng/ml), compared to control group (6.6±0.7 ng/ml). DNA microarray analysis showed that genes associated with fatty acid metabolism were upregulated, while genes associated with insulin and glucose metabolism were down regulated in the rosehip fed animals compared to the control animals. This study shows that rosehips are able to lower insulin secretion. Supported by ACOA/AIF.
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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) | 0.003 | 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".