Placental 11β-HSD2 and Cardiometabolic Health Indicators in Infancy
Bibliographic record
Abstract
OBJECTIVE Fetal excessive exposure to glucocorticoids may program cardiometabolic risk. Placental 11 β-hydroxysteroid dehydrogenase 2 (11β-HSD2) serves as a barrier to prevent fetal overexposure to maternal glucocorticoids. It has not been explored whether placental 11β-HSD2 levels are associated with cardiometabolic health in postnatal life. RESEARCH DESIGN AND METHODS In a prospective birth cohort study of 246 mother-infant pairs, we measured placental 11β-HSD2 expression and maternal (32–35 weeks of gestation) and cord plasma cortisol concentrations. The primary outcomes were HOMA of insulin resistance (IR) and blood pressure (BP) in infants at age 1 year. Other outcomes included fasting insulin, HOMA β-cell function, carotid intima-media thickness, weight z score, and skinfold thickness (triceps and subscapular) at age 1 year. RESULTS Placental 11β-HSD2 expression was negatively correlated with HOMA-IR (r = −0.17, P = 0.021) and fasting insulin (r = −0.18, P = 0.017) and marginally negatively correlated with systolic BP (r = −0.16, P = 0.057) but was not correlated with HOMA of β-cell function, diastolic BP, carotid intima-media thickness, and skinfold thickness (all P > 0.1) in infants at age 1 year. Cord plasma cortisol was negatively correlated to skinfold thickness (r = −0.20, P = 0007) but was not correlated with other outcomes at age 1 year. Maternal plasma cortisol was positively correlated with maximal carotid intima-media thickness (r = 0.20, P = 0.03) but was not correlated with other outcomes. Adjusting for maternal and infant characteristics, the associations were similar. CONCLUSIONS The study is the first to show that higher placental 11β-HSD2 expression is associated with lower IR in infancy. Independent cohort studies are required to confirm this novel finding.
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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 | 0.000 | 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) | 0.001 | 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".