Obesity, syndrome X, and diabetes: the role of HISS-dependent insulin resistance altered by sucrose, an antioxidant cocktail, and ageThis article is one of a selection of papers published in a special issue celebrating the 125th anniversary of the Faculty of Medicine at the University of Manitoba.
Bibliographic record
Abstract
Absence of meal-induced insulin sensitization (AMIS) results in a predictable progression of dysfunctions, including postprandial hyperglycemia, compensatory hyperinsulinemia, resultant hyperlipidemia, increased oxidative stress, and obesity, progressing to syndrome X and diabetes. To test the 'AMIS syndrome' hypothesis we used 3 known means of producing graded and progressive changes in meal-induced insulin sensitization in rats. We used an aging model (9, 26, and 52 weeks), associated with a slow development of AMIS; a low-dose sucrose supplement model to accelerate the development of AMIS; and an antioxidant cocktail (S-adenosylmethionine, vitamin E, and vitamin C) to protect against the effect of the sucrose on meal-induced insulin sensitization. Adiposity was assessed from weighed regional fat masses and bioelectrical impedance. AMIS developed with age, was increased by sucrose supplementation, and was inhibited by the antioxidant cocktail. AMIS correlated with postprandial hyperglycemia, hyperinsulinemia, hyperlipidemia, and with adiposity (r2 = 0.7-0.8) regardless of age or nutrient status. The range of degrees of AMIS, established over time with these models, afforded the tool with which to test the AMIS syndrome and further the argument that AMIS is the first metabolic defect that cumulatively leads to a predictable series of homeostatic disturbances and dysfunctions, including obesity and type 2 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) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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".