Plasma Amino Acids and Glucose Levels in the Rat Fetus and Dam after Chronic Maternal Alcohol Consumption
Bibliographic record
Abstract
To evaluate the effect of chronic maternal alcohol consumption on plasma amino acid and glucose levels in both the fetus and the mother, female Sprague-Dawley rats were divided into 3 dietary treatment groups. Group 1 (alcohol) was fed ad libitum a stock diet plus 20% alcohol in drinking water for at least 4 weeks before mating and 30% alcohol during gestation. Group 2 was pair-fed the stock diet plus corn starch calorically equivalent to the amount of alcohol consumed by group 1 animals. Group 3 (control) received the stock diet and water ad libitum. On day 21 of gestation the fetuses of alcohol-treated dams weighed significantly less than those of the control and pair-fed groups. Fetal plasma glucose levels were significantly lower in the alcohol group when compared to those of the pair-fed and control groups, while the maternal glucose levels were similar in all three treatment groups. Plasma amino acid concentrations showed no corresponding trends in mother and fetus. Only proline was significantly reduced and alpha-amino-n-butyric acid elevated in the alcohol-treated dams when compared to the pair-fed and control rats. In the fetal plasma, only aspartic acid was significantly lower in the alcohol group when compared to the other two groups. A moderate degree of dehydration occurred in the alcohol-treated dams, but plasma albumin was within normal levels. It is concluded that the marked decrease in the concentration of plasma glucose in alcohol-exposed fetuses may be partially responsible for their retarded growth.
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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) | 0.001 | 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".