Associations between maternal level of education and occupational status with placental glucocorticoid regeneration and sensitivity
Bibliographic record
Abstract
OBJECTIVES: Low socio-economic status (SES) is associated with increased disease risk in the involved and the next generation. The effects of low maternal SES on the offspring may be initiated prenatally. We hypothesized that fetoplacental glucocorticoid exposure might mediate the links. We examined associations between maternal level of education and occupational status (used as indices of SES) and placental expression of genes involved in glucocorticoid exposure and transfer between the mother and foetus. DESIGN AND PATIENTS: Placental biopsies were obtained from 67 healthy women (age 32.2 ± 5.3 years) with singleton, term pregnancies without obstetric complications who participated in a prospective Prediction and Prevention of Preeclampsia (PREDO) study. MEASURES: Level of education was self-reported, and occupational status was extracted from hospital records. Relative glucocorticoid receptor (GR; NR3C1), mineralocorticoid receptor (MR; NR3C2) and 11-beta-hydroxysteroid dehydrogenase type 1 (HSD11B1) and 2 (HSD11B2) mRNA levels were quantified by real-time PCR. RESULTS: Placental GR and HSD11B1 expression increased with decreasing maternal education (unadjusted P-values for linear trend = 0.04 and 0.02 and adjusted P-values = 0.06 and 0.09, respectively). Mothers with primary/secondary education had 52.9% (95% CI, 6.2-99.6, P = 0.03, adjusted P = 0.05) and 79.6% (95% CI, 6.5-153.6, P = 0.03, adjusted P = 0.09) higher GR and HSD11B1 mRNA levels compared with mothers with tertiary education. There were no other significant associations. CONCLUSIONS: Lower maternal level of education is associated with increased placental GR and HSD11B1 gene expression. This combination may regenerate active glucocorticoids in placenta and increase placental sensitivity to glucocorticoids, potentially leading to greater placental and foetal glucocorticoid exposure.
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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) | 0.000 | 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 | 0.000 |
| 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".