Dataset Information

DNA methylation in children with prenatal methamphetamine exposure and environmental adversity.

ABSTRACT:

Background

Methamphetamine (MA) use during pregnancy is a significant public health concern in the United States and affects long-term brain and behavioral development in children. We hypothesized that prenatal MA exposure would be related to greater DNA methylation of HSD11B2 and postnatal environmental stress.

Methods

The Infant Development, Environment, and Lifestyle Study (IDEAL), a longitudinal study of prenatal MA exposure enrolled mother-infant dyads in California, Hawaii, Iowa, and Oklahoma. Prenatal exposure was defined by maternal self-report and/or meconium toxicology screening. At ages 10-11 years, 100 children were assessed for drug exposure and DNA methylation of HSD11B2. Hierarchical linear models were used to determine the association between prenatal MA exposure and methylation of HSD11B2 at four CpG sites.

Results

Prenatal MA exposure (1.4% vs 0.31%, P < 0.01) and early childhood adversity (3.0 vs 2.0, P < 0.01) were associated with greater DNA methylation of HSD11B2 at the CpG2 site. The statistically significant effects of early childhood adversity (B = 0.11, P < 0.01) and prenatal MA exposure (B = 0.32, P = 0.03) on DNA methylation remained after adjusting for covariates.

Conclusions

Prenatal MA exposure is related to postnatal childhood adversity and epigenetic alterations in HSD11B2, an important gene along the stress response pathway suggesting prenatal and postnatal programming effects.

Impact

Prenatal methamphetamine exposure has been associated with developmental issues in newborns, yet little is known about the stress pathophysiology of methamphetamine on neurobehavior. This is the first evidence that prenatal methamphetamine exposure acts as a stressor, confirming the third pathophysiology of methamphetamine exposure.

SUBMITTER: Oni-Orisan OO

PROVIDER: S-EPMC7855315 | biostudies-literature |

REPOSITORIES: biostudies-literature

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Project description:Childhood maltreatment (CM) is an established major risk factor for a number of negative health outcomes later in life. While epigenetic mechanisms, such as DNA methylation (DNAm), have been proposed as a means of embedding this environmental risk factor, little is known about its timing and trajectory, especially in very young children. It is also not clear whether additional environmental adversities, often experienced by these children, converge on similar DNAm changes. Here, we calculated a cumulative adversity score, which additionally to CM includes socioeconomic status (SES), other life events, parental psychopathology and epigenetic biomarkers of prenatal smoking and alcohol consumption. We investigated the effects of CM alone as well as the adversity score on longitudinal DNAm trajectories in the Berlin Longitudinal Child Study. This is a cohort of 173 children aged 3-5 years at baseline of whom 86 were exposed to CM. These children were followed-up for 2 years with extensive psychometric and biological assessments as well as saliva collection at 5 time points providing genome-wide DNAm levels. Overall, only a few DNAm patterns were stable over this timeframe, but less than 10 DNAm regions showed significant changes. At baseline, neither CM nor the adversity score associated with DNAm changes. However, in 6 differentially methylated regions (DMRs), CM and the adversity score significantly moderated DNAm trajectories over time. A number of these DMRs have previously been associated with adverse prenatal exposures. In our study, children exposed to CM also presented with epigenetic signatures indicative of increased prenatal exposure to tobacco and alcohol, as compared to non-CM exposed children. These epigenetic signatures of prenatal exposure strongly correlate with DNAm regions associated with CM and the adversity score. Finally, weighted correlation network analysis revealed a module of CpGs exclusively associated with CM. While our study identifies DNAm loci specifically associated with CM, especially within long non-coding RNAs, the majority of associations were found with the adversity score with convergent association with indicators of adverse prenatal exposures. This study highlights the importance of mapping not only of the epigenome but also the exposome and extending the observational timeframe to well before birth.