Alcohol Suppresses Meal-Induced Insulin Sensitization
Bibliographic record
Abstract
BACKGROUND: In the fed state, the glucose disposal action of insulin can be attributed in approximately equal part to the direct action of insulin and to a hepatic insulin sensitizing substance (HISS) that acts selectively on skeletal muscle. HISS action is absent in the 24-hour fasted state. The objective of this study was to determine whether alcohol administered with a meal affected meal-induced insulin sensitization (MIS). METHODS: Rats were fasted for 24 hours and anesthetized, and insulin sensitivity was evaluated using the rapid insulin sensitivity test (RIST). A liquid mixed meal was injected into the stomach along with diluted alcohol equivalent to 1, 0.25, and 0.125 mL/kg of ethanol. After 90 minutes, a second RIST was carried out, atropine administered, and a third RIST done. A control fed group received no ethanol and a RIST was determined at 90 minutes; then 1 mL/kg ethanol or water was administered and the RIST was tested 1 hour later. RESULTS: Ethanol co-administered with a meal produced a dose-dependent suppression of MIS. MIS was blocked back to fasting levels by atropine. MIS developed to a maximal level by 90 minutes and was maintained for at least 1 hour more. Ethanol (1 mL/kg) administered after MIS was fully developed resulted in complete suppression of insulin sensitivity back to a fasting level. CONCLUSIONS: MIS can be demonstrated in response to gastric administration of a liquid mixed meal in anesthetized rats. Alcohol produces a dose-related suppression of MIS and can completely reverse MIS once it has been developed. The concentrations of alcohol reached were well within levels attained by social drinkers. MIS was confirmed to act through HISS action, and neither MIS nor alcohol affected the HISS-independent component of insulin action.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 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) | 0.002 | 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".