Increased incidence of hepatic insulin-sensitizing substance (HISS)-dependent insulin resistance in female rats prenatally exposed to ethanol
Bibliographic record
Abstract
Insulin causes the release of the hepatic insulin-sensitizing substance (HISS) from the liver. Hepatic parasympathetic nerves play a permissive role in the release of HISS. HISS-dependent insulin resistance (HDIR) occurs in the absence of HISS. Fetal ethanol exposure has been shown to cause dose-dependent HDIR in adult male rat offspring. Since female offspring are more severely affected by in utero ethanol toxicity, we hypothesized that fetal alcohol exposure causes higher incidence and more severe HDIR in adult female offspring. Adult female rat offspring prenatally exposed to different concentrations of ethanol (0%, 15%, and 20%) were tested for insulin sensitivity using the rapid insulin sensitivity test (RIST). The RIST index was significantly reduced in the 15% (134.1 +/- 16.1 mg/kg) and the 20% (98.7 +/- 9.7 mg/kg) group compared with the 0% (220.9 +/- 27.6 mg/kg) group. Administration of atropine produced significant additional HDIR in the 15% group (82.9 +/- 14.5 mg/kg) but not the 20% group (83.8 +/- 20.5 mg/kg) indicating complete HDIR had been produced in this group, contrary to the adult male offspring in a previous study. The results are consistent with the hypothesis that adult-female offspring are more severely affected by in utero ethanol exposure compared with adult-male offspring.
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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 | 0.001 | 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) | 0.002 | 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".