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. Author manuscript; available in PMC: 2015 Jun 11.
Published in final edited form as: Med Epigenet. 2014 Jun 11;2(2):71–79. doi: 10.1159/000361026

Epigenetic Regulation of Infant Neurobehavioral Outcomes

Corina Lesseur a,*, Alison G Paquette a,*, Carmen J Marsit a,b
PMCID: PMC4116357  NIHMSID: NIHMS582319  PMID: 25089125

Abstract

During fetal development and early-infancy, environmental signals can induce epigenetic changes that alter neurobehavioral development and later-life mental health. Several neurodevelopmental genetic diseases influence epigenetic regulatory genes and genomic imprinting. Recently, brain epigenetic marks have been involved in idiopathic neurodevelopmental disorders including autism spectrum disorders (ASD). The placenta is an important regulator of the intrauterine environment that links maternal and fetal nervous systems. Placental epigenetic signatures have been associated with neurodevelopment of healthy newborns quantified through the NICU Network Neurobehavioral Scales (NNNS). Associations have been observed for DNA methylation of genes involved in cortisol (NR3C1, HSD11B), serotonin (HTR2A), and metabolic (LEP) pathways. Dysregulation of imprinted genes and microRNAs has also been associated with neurobehavior assessed by NNNS. Further analysis is needed to characterize the mechanisms by which the epigenome influences neurodevelopment, and the connection between this dysregulation and mental health disorders. In the future, epigenetic marks could serve as functional biomarkers of mental health and cognitive function.

Keywords: Neurobehavior, epigenetics, NNNS, Placenta, Autism, DNA Methylation

Introduction

The developmental origins of health and disease hypothesis (DOHaD) proposes that environmental cues during fetal development and early-infancy induce adaptive responses that can influence later-life disease susceptibility [1]. Populations exposed to prenatal famine show an increased risk of later-life mental outcomes, specifically schizophrenia, depression, addiction and dysregulation of stress response suggesting that intrauterine conditions program later-life mental health [2]. This early-life programming requires plasticity, thus epigenetic mechanisms have been proposed as molecular mediators because these integrate genetic and environmental signals with the control of gene expression [3].

Epigenetics is the study of heritable but feasibly environmentally modifiable control of gene expression potential without DNA sequence changes[4]. The major systems of epigenetic regulation include DNA methylation, genomic imprinting, non-coding RNAs (ncRNA) and histone modifications. DNA methylation is the best characterized epigenetic mark and involves the addition of a methyl group to cytosines usually within CpG dinucleotides that in promoters frequently results in gene silencing[4]. Epigenetic regulation is essential during development when somatic and germ cells experience a global epigenetic remodeling that regulates cell and tissue differentiation [5, 6]. The quality of the environment during this and other sensitive periods could alter this epigenetic reprogramming. Rodent studies have shown that maternal behavior in early-life influences offspring behavior during adulthood through epigenetic deregulation of NR3C1 and other loci [7-9] . This suggests that during intrauterine and early postnatal-life, epigenetic programming occurs that has long-term influences on mental health (Figure 1).

Figure 1.

Figure 1

Diagram of principal factors influencing infant neurobehavior. Maternal and paternal genetics influence neurological, cognitive and behavioral outcomes. The in-utero and early-life environment can also influence these outcomes through epigenetic mechanisms. The placenta regulates the in-utero environment, and its epigenetic profiles can also contribute to infant neurobehavior.

In this review, we outline the evidence relating epigenetic variation and neurodevelopmental diseases, then discuss epigenetic marks in the placenta, a crucial organ for intrauterine development, and their role in infant neurodevelopmental outcomes.

Role of Epigenetics in Neurodevelopmental Disease

The significance of epigenetics in neurodevelopment is illustrated in genetic conditions that influence epigenetic regulatory genes and affect cognitive functions [10]. Rett syndrome (RTT) is a neurodevelopmental condition associated with autism spectrum disorder (ASD), and is caused by genetic mutations in the x-linked MECP2 [11]. MeCP2 is a chromatin-associated protein that binds to methylated DNA, is highly expressed in the brain, and is required for neuronal maturation. Loss or aberrant MeCP2 function leads to epigenetic deregulation and impaired synaptic function [10, 12]. Similarly, genomic imprinting disorders of 15q11-13 lead to Angelman syndrome (AS) and Prader-Willi syndrome (PWS), neurodevelopmental pathologies with structural and functional brain changes [13-15]. Imprinted genes are expressed in parent-of-origin-specific manner because DNA methylation silences the other allele [16]. A large proportion of imprinted genes are expressed in the brain, and imprinting disorders frequently exhibit neurodevelopmental delay [13]. Although, most AS and PWS cases are caused by genetic changes, in some cases loss of gene function is attributable to an imprinting defect or epimutation [17]. Moreover, 15q11-13 duplications are frequent cytogenetic abnormalities in ASD [18].

The majority of neurodevelopmental disorders, including ASD, cannot be directly associated with specific genetic changes, but have complex genetic and environmental influences contributing to disease [18]. Since epigenetic mechanisms integrate these signals, a number of studies suggest that idiopathic neurodevelopmental disorders may result from epigenetic dysregulation of neurological pathways. Most human studies of neurobehavioral disease and epigenetics (Table 1)[19-27] compare epigenetic profiles between ASD cases and controls in post-mortem brain samples, a highly relevant tissue, but not readily available. This limitation imposes cross-sectional study designs and reduces sample sizes. Thus, when selecting tissues for epigenetic studies of human neurobehavior, it is important to consider the high tissue-specificity of epigenetic marks, relevance to neural development and accessibility for prospective studies.

Table 1. Human Studies of Epigenetics and Neurobehavior.

Gene(s) Epigenetic change Major Findings 1st author & year of publication
Epigenetics and Neurobehavioral Disease
MECP2 DNA methylation MECP2 promoter hypermethylation in prefrontal cortex of male ASD cases. Lower brain MECP2 expression in ASD cases. Nagarajan et al 2006
MECP2 DNA methylation Increased methylation of a transition area (upstream of MECP2) in frontal cerebral cortex of male ASD cases. Aberrant MECP2 promoter methylation in ASD female brain. MECP2 methylation is locus-specific rather than global X chromosome changes. Nagarajan et al 2008
OXTR DNA methylation OXTR hypermethylation in blood and temporal cortex of ASD cases.
Decreased OXTR expression in temporal cortex of ASD cases.
Gregory et al 2009
RORA, BCL-2 DNA methylation Differentially methylated genes in blood of ASD cases enriched for transcription, nervous system development and cell death/ survival. RORA and BCL-2 exhibited decreased protein expression in tissue arrays (cerebellum and frontal cortex) in ASD cases.
8.1K CpG-island Array (HCGI8.1K)
Nguyen et al 2010
Genome-wide-scan H3K4me3
Histone methylation
Subset of ASD cases exhibited H3K4me3 spreading into nucleosomes in prefrontal cortex. Identification of 711 loci with altered H3K4me3 signal in brain of ASD cases compared to controls.H3K4me3 peaks enriched in genes implicated in neurodevelopmental disease.
Aberrant H3K4 methylation at a specific TSS is a predictor of transcriptional dysregulation.
Shulha et al 2012
EN-2 DNA and histone methylation EN-2 promoter hypermethylation in cerebellar cortex associated with ASD, methylation positively correlated with EN-2 expression -
Decreased histone H3K27 in the EN-2 promoter in ASD cases.
James et al 2013
PRRT1 TSPAN32/C11orf21 Near ZFP57 SDHAP3 DNA methylation 3 DMRs Temporal cortex:
PRRT1 (3′ UTR) hypomethylation in ASD cases
TSPAN32/ C11orf21 hypomethylation in cases
Near ZFP57 hypermethylated in cases
1 DMR Cerebellum SDHAP3 hypermethylated in ASD cases
Ladd-Acosta et al 2013
SHANK3 DNA methylation SHANK3 hypermethylation in cerebellum and cerebral cortex of ASD cases compared to controls. Altered expression an alternative splicing of SHANK3 isoforms in brain tissue. Zhu et al 2013
DRD4 and 5-HTT DNA methylation Cord blood DNA methylation of DRD4 and 5-HTT regions negatively associated with ADHD symptom score at age 6. van Mil el al 2014
Placental Epigenetics and Newborn Neurobehavior
HSD11B2 DNA methylation Inverse association between placental HSD11B2 methylation and quality of movement scores in RICHS newborns.
Pregnancy anxiety and placental HS11B2 methylation (CpG4) interaction influences hypotonicity in RICHS infants
Marsit et al 2012 Conradt et al 2013
NR3C1 DNA methylation Higher NR3C1 placental promoter methylation associated with higher quality of movement scores and lower infant attention scores in RICHS newborns. Potential interaction between methylation and genotype on infant attention score
Pregnancy depression and placental NR3C1 methylation (CpG2) interaction influences self-regulation, hypotonicity, and lethargy in RICHS infants.
Bromer et al 2012
Conradt et al 2013
HTR2A DNA methylation Higher HTR2A placental methylation associated with lower quality of movement and higher infant attention scores in RICHS newborns Paquette at al 2013
LEP DNA methylation Higher LEP promoter placental methylation associated with membership in a NNNS neurobehavioral profile marked by increased lethargy and hypotonicity and reduced risk of membership in a profile with opposite characteristics in RICHS newborns. Lesseur et al 2014
Expression of 22 imprinted genes Placental imprinted gene expression classes associated with quality of movement and handling in RICHS newborns. Marsit et al 2012
Expression of 6 placental miRNAs Increased miR-16 placental expression associated with reduced attention, Increased miR-146a and miR-182 placental expression associated with increased quality of movement in RICHS newborns. Maccani et al 2013

ASD, autism spectrum disorder; MECP2, methyl CpG binding protein 2; OXTR, oxytocin receptor; RORA, RAR-related orphan receptor A; BCL-2, B-cell CLL/lymphoma 2; H3K4me3, trimethylation of lysine 4 of histone 3; EN-2, engrailed homeobox 2; DMR, differentially methylated region; PRRT1, proline-rich transmembrane protein 1; TSPAN32, tetraspanin 32; C11orf21, chromosome 11 open reading frame 21; ZFP57, zinc finger protein; SDHAP3, succinate dehydrogenase complex, subunit A, flavoprotein pseudogene 3; SHANK3, SH3 and multiple ankyrin repeat domains 3; DRD4, dopamine receptor D4; SLC6A4 solute carrier family 6; HSD11B2, hydroxysteroid (11-beta) dehydrogenase 2; NR3C1, glucocorticoid receptor; HTR2A 5-hydroxytryptamine (serotonin) receptor 2A; LEP, leptin.

Placental Epigenetics and Infant Neurobehavior

During intrauterine life, the placenta is the essential regulator of the fetal environment [28], and has been described as a third brain linking the mother and infant[29]. Recent evidence suggests similarities between neuronal and placental DNA methylation profiles in areas associated with neuronal development genes [30]. In order to study epigenetic changes that occur during prenatal development and their relationship with infant neurobehavioral outcomes, we have explored placental epigenetic marks as functional biomarkers of the in-utero environment in a large population-based cohort of healthy term infants: the Rhode Island Child Health Study (RICHS). We assessed newborn neurobehavior using the Neonatal Intensive Care Unit Network Neurobehavioral Scales (NNNS), a comprehensive evaluation of neurobehavioral performance, including neurologic and behavioral measures and signs of stress [31]. Profiles of neurobehavior derived through NNNS have previously shown to predict neurodevelopmental and cognitive performance in childhood [32].

Maternal cortisol influences the development of the fetal HPA axis and is metabolized through the placenta [33]. Thus, changes in placental cortisol metabolism may alter infant neurobehavioral outcomes. We have analyzed epigenetic changes in cortisol response genes HSD11B2 and NR3C1 within the RICHS cohort. HSD11B2 inactivates cortisol by metabolizing it to cortisone, protecting the infant from excess glucocorticoids [34]. HSD11B2 promoter methylation was associated with decreased quality of movement [35]. In an expanded study, we observed an interaction between maternal anxiety and HSD11B2 methylation that contributed to infant hypotonia [36]. NR3C1 encodes the glucocorticoid receptor, is expressed in the placenta and is involved in metabolism of maternal cortisol. NR3C1 placental methylation is positively associated with infant attention and quality of movement NNNS scores, and negatively associated with stress abstinence scores [37]. In a larger study, we observed an interaction between maternal depression and NR3C1 methylation on infant hypotonicity, lethargy and self-regulation[36]. Both HSD11B2 and NR3C1 promoter methylation are negatively associated with expression [35, 37], suggesting that infants with higher methylation of these genes are exposed to increased cortisol. The cortisol response pathway influences infant cognitive development and physical maturation in humans [38, 39]. Altered placental cortisol response may alter infant neuromuscular and stress responses, as reflected in the infant attention, stress-abstinence and quality of movement scores. Further analysis of other genes involved in cortisol response, such as FKBP5, is needed to fully understand the contribution of these epigenetic changes to infant neurobehavior.

Cortisol response and serotonergic tone are intimately linked, and serotonin can stimulate the HPA axis[34]. During fetal development, serotonin is important for the development of brain circuits[40], and the placenta acts as a transient source of serotonin during early development [41]. Infants that experienced maternal depression in-utero had decreased promoter methylation of the serotonin receptor SLC6A4 in blood[42], but we did not find associations between placental promoter methylation of SLC6A4 and infant neurobehavioral outcomes within the RICHS cohort (unpublished data). Methylation of the serotonin receptor HTR2A was positively associated with NNNS attention scores and negatively associated with quality of movement [43]. This study provided evidence for epigenetics as a potential regulator of components of the placental serotonin response pathway, which influence behavioral outcomes. More research is needed to determine if other genes in this pathway are epigenetically regulated.

Rodent studies have linked the adipokine leptin (LEP) with neurodevelopment; leptin deficient mice (ob/ob) display brain abnormalities and decreased locomotor activity [44]. Leptin is epigenetically regulated and produced by the placenta [45, 46]. Recently, we detected an associations between higher LEP promoter methylation and increased odds of membership in a neurobehavioral profile characterized by lethargy and hypotonicity and with reduced odds of membership in a profile with opposite characteristics [47]. These observations were significant only in males and are consistent with a marked negative correlation between methylation and LEP gene expression that was absent in placentas from females. These are the first results that link an energy-homeostasis gene with human neurobehavior and resemble the phenotype of ob/ob mice. Future research is needed to assess if epigenetic marks in other metabolic genes can influence neurobehavior.

MicroRNAs (miRNAs) post-transcriptionally target mRNAs and induce gene silencing, regulating a substantial amount of the mammalian genome[48]. miRNAs have been linked to placental functions and pathology and to neuronal survival and differentiation during development [49] [50]. We assessed placental expression of 6 miRNAs and their relationship to neurobehavior in the RICHS study [51]. Increases in miR-16 were associated with reduced attention scores, and increased miR-146a and miR-182 expression was associated with increased quality of movement scores. Some of the targets of these miRNAs are involved in regulation of the serotonin [52], NFκβ [53] and reward pathways [54], this could help explain our observation regarding infant neurobehavior.

Imprinted gene expression is abundant in human placenta and is involved in growth and neural development [13, 55]. We observed associations between expression profiles of 22 placental-imprinted genes and quality of movement and handling scores of RICHS infants [56]. Quality of movement was associated with decreased expression of imprinted genes involved in neurological and motor functions during development, including MEG3, HOXA11, and HOXD10. We also observed a high-degree of correlation in expression of adjacent imprinted genes, suggesting that in-utero exposures produce coordinated expression changes and/or disrupt imprinting within control regions. Further research is required to determine the role of epigenetic marks in imprinted genes and infant neurobehavior.

Future Directions

The field of neurobehavioral epigenetics is growing, with human studies complimenting animal models. The human environment is multifaceted, and the fetus is exposed to nonspecific stressors, which are difficult to capture in laboratory conditions. The laboratory environment may induce epigenetic alterations independently of experimental conditions, confounding analysis. However, there are limitations to the observations made from human population studies. Epigenetic changes are tissue-specific[57]; the placenta is a relevant and accessible tissue for infant neurobehavioral studies [30], but we cannot definitely assess if these epigenetic patterns are conserved in brain tissue. These studies are also limited by their observational nature; we cannot establish mechanisms based on observed associations, and we cannot presently assess the prognostic value of the neurobehavioral outcomes observed at birth. Most studies have used candidate-gene approaches of targets known to be important in the developing brain, and we encourage validation of findings from candidate-gene studies in different populations. However, this has a limited scope in complex neurobehavioral phenotypes, highlighting the need for epigenome-wide, agnostic analyses to identify novel genes that contribute to infant neurobehavior.

A number of neurobehavioral diseases exhibit sex-differences in their prevalence and onset including autism, ADHD, and affective disorders [58]. Placental epigenetic marks also exhibit sexual-dimorphism [59-61] [47] which could influence these neurobehavioral differences. More research is needed to define sexually-dimorphic epigenetic patterning in autosomal loci and their potential role in infant neurobehavioral outcomes.

DNA sequence variation also exerts effects on epigenetic signatures across the genome [62]. Thus, it is important to consider possible contributions of single nucleotide polymorphisms (SNPs) to epigenetic regulation of neurobehavior. It has been suggested that individuals may be able to adapt to deleterious polymorphisms through epigenetic changes, which may explain the inability of these polymorphisms alone to predict disease[63]. In particular, monozygotic twins represent a desirable population to study because of reduced genetic confounding. Differential epigenetic patterning in combination with genetic factors may help explain differences in behavioral responses.

As our understanding of epigenetic changes and their role in newborn behavior increases, they could serve as biomarkers of neurobehavioral risk, facilitating early screening. In neurobehavioral diseases that manifest in early-childhood, such as autism and ADHD, prompt interventions are important to improve long-term mental health [64, 65]. Future advancements may move this field beyond risk-assessment to identification of prognostic biomarkers to evaluate response to therapy. The brain epigenome exhibits plasticity throughout life [66], and response to cognitive therapies alters gene expression [67, 68], which may be driven by epigenetic changes. Tracking responses to cognitive interventions through epigenetic markers could provide a quantitative assessment of therapeutic response. Pharmacologic agents that alter gene expression through epigenetic changes are established treatment of some psychiatric and neurologic conditions; this is the case of valproic acid, and it has been proposed that this could be used to correct epigenetic changes in cognitive disorders [69, 70]. Maternal cognitive intervention may induce epigenetic effects in offspring, as epigenetic changes have been observed in children born to mothers who underwent bariatric surgery [71]. More groundwork is needed to understand the normal epigenome, the consequences of its deregulation and the connection with mental health disorders before these tools can be used as functional biomarkers.

Acknowledgments

This work is supported by NIH-NIMH R01MH094609, NIH-NIEHS R01ES022223 and NIH-NIEHS P01 ES022832/EPA RD83544201

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