Abstract

An unstable epigenome is implicated in the pathophysiology of neurodevelopmental disorders such as schizophrenia and autism. This is important because the epigenome is potentially modifiable. We have previously reported that adult offspring exposed to maternal immune activation (MIA) prenatally have significant global DNA hypomethylation in the hypothalamus. However, what genes had altered methylation state, their functional effects on gene expression and whether these changes can be moderated, have not been addressed. In this study, we used next-generation sequencing (NGS) for methylome profiling in a MIA rodent model of neurodevelopmental disorders. We assessed whether differentially methylated regions (DMRs) affected the chromatin state by mapping known DNase I hypersensitivity sites (DHSs), and selected overlapping genes to confirm a functional effect of MIA on gene expression using qPCR. Finally, we tested whether methylation differences elicited by MIA could be limited by post-natal dietary (omega) n-3 polyunsaturated fatty acid (PUFA) supplementation. These experiments were conducted using hypothalamic brain tissue from 12-week-old offspring of mice injected with viral analogue PolyI:C on gestation day 9 of pregnancy or saline on gestation day 9. Half of the animals from each group were fed a diet enriched with n-3 PUFA from weaning (MIA group, n = 12 units, n = 39 mice; Control group, n = 12 units, n = 38 mice). The results confirmed our previous finding that adult offspring exposed to MIA prenatally had significant global DNA hypomethylation. Furthermore, genes linked to synaptic plasticity were over-represented among differentially methylated genes following MIA. More than 80% of MIA-induced hypomethylated sites, including those affecting chromatin state and MECP2 binding, were stabilised by the n-3 PUFA intervention. MIA resulted in increased expression of two of the ‘top five’ genes identified from an integrated analysis of DMRs, DHSs and MECP2 binding sites, namely Abat (t = 2.46, p < 0.02) and Gnas9 (t = 2.96, p < 0.01), although these changes were not stabilised by dietary intervention. Thus, prenatal MIA exposure impacts upon the epigenomic regulation of gene pathways linked to neurodevelopmental conditions; and many of the changes can be attenuated by a low-cost dietary intervention.

Highlights

  • The epigenome exerts a modifiable control of gene expression through covalent modifications such as cytosine methylation or chromatin structural changes, which are independent of the inherent DNA sequence[1]

  • Basil et al Translational Psychiatry (2018)8:125 diverse range of environmental exposures have been associated with epigenetic modifications[3,4,5,6]; and an unstable epigenome has been linked to complex neurodevelopmental disorders, including schizophrenia[7] and autism spectrum disorders (ASD)[8]

  • We identified biologically relevant differentially methylated regions (DMRs) and downstream target genes in an integrated analysis of DMRs, DNase I hypersensitivity sites (DHSs) and MECP2 binding sites using matching publicly available Gene Expression Omnibus (GEO) datasets

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Summary

Introduction

The epigenome exerts a modifiable control of gene expression through covalent modifications such as cytosine methylation or chromatin structural changes, which are independent of the inherent DNA sequence[1]. Epidemiological and clinical studies indicate that prenatal exposure to maternal immune activation (MIA) is a risk factor for the subsequent development of schizophrenia[9,10], ASD11,12 and bipolar disorder[13]. In rodents, this can be modelled using the viral analogue, PolyIC, to elicit an increase in inflammatory cytokine levels, especially interleukin 6 (IL6) during pregnancy[14,15]. We previously reported the first direct experimental evidence that MIA causes global DNA hypomethylation in the hypothalamus of offspring mice[27] This brain region is strongly implicated in the neurobiological symptoms of schizophrenia[28] and autism[29]. We reasoned that this relatively low risk intervention may be useful to examine in the MIA model

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