Abstract

BackgroundMaternal smoking affects more than half a million pregnancies each year in the US and is known to result in fetal growth restriction as measured by lower birthweight and its associated long-term consequences. Maternal smoking also has been linked to altered fetal DNA methylation (DNAm). However, what remains largely unexplored is whether these DNAm alterations are merely markers of smoking exposure or if they also have implications for health outcomes. This study tested the hypothesis that fetal DNAm mediates the effect of maternal smoking on newborn birthweight.MethodsThis study included mother–newborn pairs from a US predominantly urban, low-income multi-ethnic birth cohort. DNAm in cord blood were determined using the Illumina Infinium MethylationEPIC BeadChip. After standard quality control and normalization procedures, an epigenome-wide association study (EWAS) of maternal smoking was performed using linear regression models, controlling for maternal age, education, race, parity, pre-pregnancy body mass index, alcohol consumption, gestational age, maternal pregestational/gestational diabetes, child sex, cord blood cell compositions and batch effects. To quantify the degree to which cord DNAm mediates the smoking-birthweight association, the VanderWeele-Vansteelandt approach for single mediator and structural equational model for multiple mediators were used, adjusting for pertinent covariates.ResultsThe study included 954 mother–newborn pairs. Among mothers, 165 (17.3%) ever smoked before or during pregnancy. Newborns with smoking exposure had on average 258 g lower birthweight than newborns without exposure (P < 0.001). Using a false discovery rate (FDR) < 0.05 as the significance cutoff, the EWAS identified 38 differentially methylated CpG sites associated with maternal smoking. Of those, 17 CpG sites were mapped to previously reported genes: GFI1, AHRR, CYP1A1, and CNTNAP2; 8 of those, located in the first three genes, were Bonferroni significantly associated with newborn birthweight and mediated the smoking-birthweight association. The combined mediation effect of the three genes explained 67.8% of the smoking-birthweight association.ConclusionsOur study not only lends further support that maternal smoking alters fetal DNAm in a multiethnic population, but also suggests that fetal DNAm substantially mediates the maternal smoking–birthweight association. Our findings, if further validated, indicate that DNAm modification is likely an important pathway by which maternal smoking impairs fetal growth and, perhaps, even long-term health outcomes.

Highlights

  • Maternal smoking affects more than half a million pregnancies each year in the US and is known to result in fetal growth restriction as measured by lower birthweight and its associated long-term consequences

  • At a false discovery rate (FDR) < 0.05 as the genome-wide significance cutoff, we identified 38 CpG sites with altered DNA methylation (DNAm) in newborns exposed to maternal smoking compared to unexposed newborns

  • The CpG sites in the Growth factor independent 1 transcriptional repressor (GFI1), Aryl-hydrocarbon receptors repressor (AHRR) and Contactin associated protein 2 (CNTNAP2) genes were significantly hypomethylated as indicated by the negative coefficients, and CpG sites in the Cytochrome P450 (CYP1A1) gene were hypermethylated as indicated by the positive coefficients in relation to maternal smoking

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Summary

Introduction

Maternal smoking affects more than half a million pregnancies each year in the US and is known to result in fetal growth restriction as measured by lower birthweight and its associated long-term consequences. Maternal smoking has been linked to altered fetal DNA methylation (DNAm); these findings are consistent based on either self-reported smoking or objective measurement of blood cotinine levels [4,5,6]. The importance of these observations reaches far beyond the perinatal period. Prospective birth cohort studies [10, 11] have lent further support for the concept of developmental origins of health and disease (DoHaD) [12, 13]

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