Abstract 13297: Higher Maternal Serum Ferritin in the Third Trimester is Associated With Reduced Endothelial Function in the Preadolescent Child
Bibliographic record
Abstract
Introduction: Elevated iron status in pregnancy has been implicated in gestational diabetes (GDM) development and in cardiovascular (CV) disease progression in adults. Animal models, however, have suggested maternal iron deficiency anemia may increase the offspring’s risk of CV disease. Whether maternal iron levels impact the CV health of the child in humans is unknown. This study investigated the relationship between maternal iron markers and the child’s CV health. Methods: This is a nested observational study tied to the Alberta Pregnancy Outcomes and Nutrition (APrON) Study. Children of mothers with and without GDM but otherwise uncomplicated pregnancies were prospectively recruited. Maternal serum ferritin, total iron binding capacity, and hemoglobin in the 2 nd and 3 rd trimesters were obtained. CV outcomes included: left ventricular mass Z-score, reactive hyperemia index score (lnRHI, EndoPAT), Doppler-based aortic and peripheral arterial pulse wave velocity, and carotid intima-media thickness. Univariate and multiple linear regression models, including maternal GDM as a covariate, were built to explore relationships between maternal iron markers and the child’s CV health. Results: Fifty-two children, 40 (77%) female, were assessed at a mean age of 10.9±0.7 years. Maternal serum ferritin in the 2 nd (median (IQR): 38.8 (39.2) ng/mL; B=-0.0039, p=0.01) and 3 rd trimesters (13.7 (9.0); B=-0.011, p=0.008) inversely related to the child’s lnRHI in univariate analyses, whereas no other relationships were observed between maternal iron markers and the child’s CV health. While the effect of 2 nd trimester serum ferritin was attenuated in a multiple linear model adjusting for maternal GDM, another model demonstrated a persistent relationship of 3 rd trimester serum ferritin with lnRHI (B=-0.028, p=0.007), not impacted by maternal GDM (B=-0.37, p=0.11) or their interaction term (B=0.020, p=0.07). Conclusions: High maternal serum ferritin in the 3 rd trimester may be associated with reduced endothelial function of the child. If validated, further work is needed to understand pathogenic mechanisms, and the impact of supplementation guidelines in pregnancy.
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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 | 0.001 |
| 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) | 0.003 | 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".