Relationship between Maternal Progesterones and the Delayed Drug Metabolism in the Neonate
Bibliographic record
Abstract
The relationship between maternal progesterones and the delayed drug metabolism in the rat neonate was studied with special emphasis on maternal inhibitory substances and their role in the functional development of the endoplasmic reticulum of the neonate. Incubation of liver homogenates and microsomes obtained from fetuses removed by cesarean section 1-3 days before birth indicated the presence of enzymes involved in progesterone metabolism namely 16 alpha- and 6 beta-hydroxylases and delta 4 - 5 alpha-hydrogenase. Enzyme activities determined on liver microsomes of nonpregnant and pregnant rats indicated low 6 beta-hydroxylase activity in both groups and an increase in 5 alpha-hydrogenase in the pregnant when compared to the nonpregnant (p less than . 05 or greater) rats. Weaning 2-week-old rats resulted in an increase in progesterone 16 alpha- and 16 beta-hydroxylase and coumarin 3-hydroxylase activities; however treatment with 5 beta-pregnanediol or 5 beta-pregnanolone prevented these increases. Estradiol or testosterone did not affect these activities. It was concluded that since separation of the neonate from the mother brings about an increase in drug and progesterone hydroxylation it is possible that the low activity of drug metabolizing enzymes of the fetus and neonate is connected with reduced progesterone metabolites originated from the mother.
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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 | 0.001 |
| 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) | 0.001 | 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".