Exercise enhancement of hepatic insulin-sensitising substance-mediated glucose uptake in diet-induced prediabetic rats
Bibliographic record
Abstract
The sensitisation of insulin action in response to a meal (i.e. meal-induced insulin sensitisation, MIS) represents one of the major means of increased glucose disposal in peripheral tissues during the postprandial state. MIS occurs when the release of hepatic insulin-sensitising substance (HISS) stimulates skeletal muscle glucose uptake. Our previous study had demonstrated that the HISS pathway is impaired in age-associated insulin resistance, and in the rats which were part of that study, voluntary exercise improved the response to insulin by restoring HISS action. The present study tests the hypothesis that voluntary exercise would reverse insulin resistance in diet-induced models of insulin resistance, and that the benefits are attributed through the improvement in HISS action. In this study, two experimental diets, a high-fat diet (for 4 weeks) and 35 % sucrose solution (for 9 and 16 weeks), were used to induce insulin resistance in rats. These rats were assigned to the exercise/no-exercise intervention. The effect of 7 d voluntary running-wheel exercise was determined by measuring insulin- and HISS action in the exercised rats and comparing them with the non-exercised controls. Voluntary exercise reversed insulin resistance, caused by dietary manipulation, through restoration of the HISS action. The direct insulin action was not changed by either diet or exercise. The metabolic improvements and reduced adiposity correlated with the extent of reversal of HISS action induced by exercise. Exercise improves insulin sensitivity in diet-induced insulin resistance primarily by restoration of HISS-mediated glucose uptake.
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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".