Effects of prenatal ethanol exposure on the lungs of postnatal lambs
Bibliographic record
Abstract
Prenatal ethanol exposure increases collagen deposition and alters surfactant protein (SP) expression and immune status in lungs of near-term fetal sheep. Our objectives were to determine 1) whether these prenatal effects of repeated gestational ethanol exposure persist after birth and 2) whether surfactant phospholipid composition is altered following prenatal ethanol exposure. Pregnant ewes were chronically catheterized at 90 days of gestational age (DGA) and given a 1-h daily infusion of ethanol (0.75 g/kg, n = 9) or saline (n = 7) from 95 to 135 DGA; ethanol administration ceased after 135 DGA. Lambs were born naturally at full term (146 ± 0.5 DGA). Lung tissue was examined at 9 wk postnatal age for alterations in structure, SP expression, and inflammation; bronchoalveolar lavage fluid was examined for alterations in surfactant phospholipid composition. At 134 DGA, surfactant phospholipid concentration in amniotic fluid was significantly reduced (P < 0.05) by ethanol exposure, and the composition was altered. In postnatal lambs, there were no significant differences between treatment groups in birth weight, postnatal growth, blood gas parameters, and lung weight, volume, tissue fraction, mean linear intercept, collagen content, proinflammatory cytokine gene expression, and bronchoalveolar lavage fluid surfactant phospholipid composition. Although SP-A, SP-B, and SP-C mRNA levels were not significantly different between treatment groups, SP-D mRNA levels were significantly greater (P < 0.05) in ethanol-treated animals; as SP-D has immunomodulatory roles, innate immunity may be altered. The adverse effects of daily ethanol exposure during late gestation on the fetal lung do not persist to 2 mo after birth, indicating that the developing lung is capable of repair.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".