Key result
Unbalanced normalized fetal/placental weight ratios in neonates with congenital heart disease were associated with significant DNA methylation differences in neurodevelopmental disease pathways compared to balanced ratios.
Why the study?
Early biomarkers to predict neurodevelopmental outcomes in children with congenital heart disease are lacking, and it is unknown whether DNA methylation correlates with normalized fetal/placental weight ratios or relates to neurodevelopmental outcomes.
Does an unbalanced normalized fetal/placental weight ratio correlate with DNA methylation differences and neurodevelopmental outcomes in neonates with congenital heart disease?
Cohort (n=45)
No
Does an unbalanced normalized fetal/placental weight ratio correlate with DNA methylation differences and neurodevelopmental outcomes in neonates with congenital heart disease?
Unbalanced fetal/placental weight ratios in CHD neonates are associated with DNA methylation differences in neurodevelopmental pathways, suggesting a potential early epigenetic biomarker for neurodevelopmental risk.
Answers are grounded in this paper and cite their sources.
Hypothesis-generating for epigenetic biomarkers of neurodevelopmental risk in CHD; prospective studies needed before clinical adoption.
Background We lack early biomarkers for predicting neurodevelopment (ND) outcomes in children with congenital heart disease (CHD). Placentas of fetuses with CHD have abnormalities, including unbalanced fetal/placental weight ratios (F/P). Although DNA methylation profiles have revealed insights into the maternal-fetal environment (MFE), it is unknown if DNA methylation correlates to normalized F/P weight ratio groups and how these differences relate to ND outcomes. Methods We prospectively recruited a cohort of pregnant women carrying a fetus with CHD. A subset of the cohort had DNA methylation performed on either umbilical cord blood or postnatal blood (45 full-term neonates). We calculated normalized F/P weight ratios, focusing on three normalized F/P ratio groups for analysis. We calculated differential methylation signals in eight ND disabilities-associated gene sets. Normalized F/P ratios were compared to 18-month Bayley Scales of Infant Development-III scores (BSID-III). Results Unbiased gene ontology enrichment analysis of differentially methylated regions revealed enrichment for brain development-related pathways. Although there were no significant differences between normalized F/P weight ratio groups and BSID-III, disease-associated gene set pathway analysis revealed significant methylation differences between the most severely unbalanced F/P weight ratio and normal F/P weight ratio groups. Conclusion Gene ontology enrichment analysis of differential methylation regions revealed significant differences between normalized F/P weight ratio groups in neurogenesis genes. Furthermore, our data identified methylation differences between unbalanced and balanced normalized F/P weight ratio groups in gene pathways associated with ND dysfunction common in the aging CHD population suggesting converging pathways for ND disorders that should be investigated further.
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Jacobwitz et al. (2025) conducted a cohort in Congenital heart disease (n=45). Unbalanced normalized fetal/placental weight ratios vs. Balanced normalized fetal/placental weight ratio was evaluated on DNA methylation differences in neurodevelopmental disease-associated gene pathways (p=<0.0001). Unbalanced normalized fetal/placental weight ratios in neonates with congenital heart disease were associated with significant DNA methylation differences in neurodevelopmental disease pathways compared to balanced ratios.
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