Interaction of antioxidants and exercise on insulin sensitivity in healthy and prediabetic rats
Bibliographic record
Abstract
Meal-induced insulin sensitization (MIS) describes the augmented postprandial response to insulin through action of the hepatic insulin sensitizing substance (HISS). HISS-action is impaired in insulin resistance associated with aging and type 2 diabetes, but could be preserved by the antioxidant cocktail SAMEC, along with voluntary exercise. In this study, we tested whether antioxidant supplementation during voluntary training would interact with the effects of exercise on HISS-mediated glucose uptake in healthy and prediabetic rats. The 7-day voluntary running-wheel training was used as an exercise intervention. SAMEC supplementation was provided only during the 7-day training session. The rapid insulin sensitivity test (RIST) was conducted to determine insulin- and HISS-dependent glucose uptake in 14-week-old healthy rats, and sucrose-induced insulin-resistant rats, with or without exercise in the presence or absence of SAMEC supplementation. The postprandial insulin sensitivity was increased by exercise, primarily through enhancement of the HISS-dependent glucose uptake, which remained unaffected by SAMEC. SAMEC supplementation did not either harm or add benefit to the positive effects of exercise on insulin sensitivity in healthy or prediabetic rats. While SAMEC alone was a demonstrated preventive against the progressive loss of HISS action in previous studies, short-term supplementation in this study did not reverse the established disease state.
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) | 0.001 | 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".