Abstract
There is now compelling evidence that gene by environment interactions are important in the etiology of autism spectrum disorders (ASDs). However, the mechanisms by which environmental factors interact with genetic susceptibilities to confer individual risk for ASD remain a significant knowledge gap in the field. The epigenome, and in particular DNA methylation, is a critical gene expression regulatory mechanism in normal and pathogenic brain development. DNA methylation can be influenced by environmental factors such as diet, hormones, stress, drugs, or exposure to environmental chemicals, suggesting that environmental factors may contribute to adverse neurodevelopmental outcomes of relevance to ASD via effects on DNA methylation in the developing brain. In this review, we describe epidemiological and experimental evidence implicating altered DNA methylation as a potential mechanism by which environmental chemicals confer risk for ASD, using polychlorinated biphenyls (PCBs), lead, and bisphenol A (BPA) as examples. Understanding how environmental chemical exposures influence DNA methylation and how these epigenetic changes modulate the risk and/or severity of ASD will not only provide mechanistic insight regarding gene-environment interactions of relevance to ASD but may also suggest potential intervention strategies for these and potentially other neurodevelopmental disorders.
Keywords: autism, bisphenol A, epigenetics, lead, neurodevelopment, PCBs
Introduction
Autism spectrum disorders (ASDs) are neurodevelopmental disorders characterized by core deficits in social communication and interaction, restricted interests, and repetitive patterns of behavior. Symptoms typically present in the first 2 years of life, though there is considerable clinical heterogeneity in severity, comorbidities, and response to treatment [ 1–3 ]. According to the autism and developmental disabilities monitoring network of the Centers for Disease Control (CDC), 1 in 68 eight-year-old children is diagnosed with ASD [ 4 ]. Although ASD affects both sexes, it is almost five times more common among boys (1 in 42) than girls (1 in 189) [ 4 ]. Alarmingly, the incidence of ASD continues to increase. Independent studies have reached the common conclusion that this trend cannot be explained in its entirety by increased awareness, broadening of diagnostic criteria, or improved detection of ASD [ 5–8 ]. In fact, these studies suggest that factors other than diagnostic drift likely account for more than one-half of new cases. Given that the economic cost of healthcare, schooling, and caregiver services for a child with ASD are estimated to start at $17, 000 more per year compared with a child without ASD [ 9 ], these sobering statistics underscore the need to identify factors that confer risk for ASD.
Evidence Suggesting Environmental Factors Influence ASD Risk
To date, much of the research on ASD etiology has focused on genetic factors [ 10 , 11 ]. Although ASD is considered one of the most heritable neurodevelopmental disorders [ 12 , 13 ], single genetic anomalies account for only a small proportion of affected cases [ 14 , 15 ]. Furthermore, genes linked to ASD rarely segregate in a simple Mendelian manner [ 12 ]. These results have been interpreted as an indication that genetic mutations are not necessarily causal but rather act as modifying risk factors that singly or in combination contribute to ASD risk and/or severity. Numerous mechanisms have been proposed to explain how genetic mutations influence ASD, including inheritance of multiple gene variants with small to moderate effects on ASD, rare de novo single gene mutations, copy number variants, or alterations in the epigenome [ 16–21 ].
An alternative hypothesis that is gaining consensus in the field is that the genetic substrate confers increased susceptibility to environmental factors that interfere with normal neurodevelopment. It is the interaction between genes and the environment that determines individual ASD risk, clinical phenotype, and/or treatment outcome. Evidence supporting environmental contributions to ASD risk include observations of incomplete concordance for autism among monozygotic twins and incomplete penetrance within individuals expressing a given ASD-linked gene mutation, whereby a significant percentage of carriers do not express autistic phenotypes [ 14 , 19 , 22 ]. Two large, independent twin studies that examined the relative contributions of genetic heritability versus the shared environment similarly concluded that environmental factors were more predominant than genetic factors in determining autism risk [ 23 , 24 ]. A significant role for environmental factors in determining ASD risk is consistent with the clinical heterogeneity that is a hallmark characteristic of these neurodevelopmental disorders and suggests a plausible explanation for the exponential rise in ASD cases over the past several decades.
Diverse environmental factors have been implicated as risk factors for ASD, including maternal stress and drug use, paternal age, nutritional status, hormones, and environmental chemicals [ 14 , 25–29 ]. In this review, we focus on environmental chemicals. Environmental chemicals that have been implicated as risk factors for ASD include polychlorinated biphenyls (PCBs), lead, bisphenol A (BPA), mercury, and pesticides ( Tables 1–2 ) [ 52–62 ]. However, mechanisms by which these environmental factors interact with genetic susceptibilities to confer individual risk for ASD remain largely speculative. Emerging evidence suggests that environmental chemicals can alter DNA methylation patterns in the developing brain, and these reports have led to a prevailing hypothesis in the field that environmental factors confer risk to genetically susceptible individuals via modulation of the developing brain methylome. Here, we review the evidence and the critical gaps in knowledge relevant to this hypothesis. In the following sections, we provide an overview of DNA methylation and its importance in neurodevelopment, then review experimental evidence demonstrating that environmental chemicals hypothesized to confer ASD risk alter the epigenome, specifically DNA methylation, using PCBs, lead, and BPA as examples ( Table 1 ). We conclude with a discussion of the evidence linking effects of environmental chemicals on DNA methylation to increased risk of ASD.
Table 1.
summary of major studies included in this review implicating DNA methylation as a target of environmental chemicals
| Publication | Environmental chemical | Exposure period | Effect on DNA methylation |
|---|---|---|---|
| Wu et al . [ 30 ] | PCB 153 | Preimplantation mouse blastocytes | Decreases DNMT activity. |
| Bastos Sales et al . [ 31 ] | PCB 153 | N2A mouse and human SK-N-AS neuroblastoma cell line | Decreases global DNA methylation in N2A cell line. |
| Desaulniers et al . [ 32 ] | PCBs 52, 99, 101, 128, 138, 153, 170, 180, 183, 187, 28, 105, 118, 156 | Rats; in utero and lactational | Reduces Dnmt1 , Dnmt3a, and Dnmt3b expression in liver of female offspring. |
| Desaulniers et al . [ 33 ] | PCBs 77, 126, 169, and a mixture of PCDD and PCDF | Rats; P1, 5, 10, 15, 20 | Reduces Dnmt1 abundance in hypothalamus of female rats. |
| Matsumoto et al . [ 34 ] | Hydroxy metabolites of PCB 30 and 61 | Red-eared slider turtle; developing embryos | Prevents female gonad loss of aromatase promoter DNA methylation under female producing incubation temperature. |
| Walker et al . [ 35 ] | Arochlor 1221 | Rats; GD16 and 18 | Increases Dnmt1 expression in female rat AVPV nucleus similar to levels observed in vehicle-treated male rats. |
| Itoh et al . [ 36 ] | PCBs 17, 52, 69, 74, 183, 114 | 399 Japanese women | Serum levels of PCBs are inversely associated with global DNA methylation levels. |
| Kim et al . [ 37 ] | PCBs 153, 183, 187 | 86 Koreans | Serum levels of PCBs are inversely associated with global DNA methylation levels. |
| Rusiecki et al . [ 38 ] | PCBs 28, 52, 99, 101, 105, 118, 128, 138, 153, 156, 170, 180, 183, 187 | 70 Greenlandic Inuit | Serum levels of PCBs are inversely associated with global DNA methylation levels. |
| Lind et al . [ 39 ] | PCB 126 | 524 elderly Swedish | Serum levels associated with global DNA hypermethylation. |
| Mitchell et al . [ 40 ] | PCB 95 | 107 postmortem human brain tissues | 15q duplication was the strongest predictor of PCB 95 exposure and these individuals also exhibited DNA hypomethylation of the LINE-1 element. |
| Senut et al . [ 41 ] | Lead | Human embryonic stem cells | Stage and dose-dependent changes in DNA methylation of genes during neural progenitor differentiation, with the majority displaying DNA hypomethylation. |
| Schneider et al . [ 42 ] | Lead | Rats; in utero and lactational | Reduces Dnmt1 abundance in adult female rat hippocampus. |
| Schneider et al . [ 42 ] | Lead | Rats; lactational exposure | No change in Dnmt1 abundance in adult female rat hippocampus but Dnmt1 is diminished in male rat hippocampus at low lead doses (150, 375 ppm) and increased at high doses (750 ppm). |
| Sanchez-Martin et al . [ 43 ] | Lead | Mice; in utero and lactational | Produces 1000 differentially methylated CpG sites—predominantly DNA hypermethylation—in regions corresponding to 117 unique genes in the female mouse hippocampus. |
| Wright et al . [ 44 ] | Lead | 517 men in normative aging study | Patellar lead levels are inversely associated with global LINE-1 DNA methylation levels in blood. |
| Pilsner et al . [ 45 ] | Lead | 103 Mexican women | Maternal lead levels are inversely correlated with genomic DNA methylation of the LINE-1 element in umbilical cord blood. |
| Kovatsi et al . [ 46 ] | Lead | 19 individuals | Highest blood lead levels had complete DNA methylation of the p16 gene, a tumor suppressor gene also involved in neurodegeneration while those with lower lead levels had partial to no DNA methylation of the p16 gene. |
| Warita et al . [ 47 ] | BPA | Embryonic hypothalamic mouse cell lines | Decreases Dnmt1 and 3a expression but increases Dnmt3b abundance relative to control levels. |
| Wolstenholme et al . [ 48 ] | BPA | Mice; gestational | Selectively decreases Dnmt1 abundance in the GD18 female mouse brain while male levels are unaltered. |
| Kundakovic et al . [ 49 ] | BPA | Mice; in utero | Decreases Dnmt1 expression in prefrontal cortex in both male and female mice. Produces a nonmonotonic dose response for Dnmt1 expression in the hypothalamus and Dnmt3a expression in the prefrontal cortex with a U-shaped dose–response relationship observed with females whereas an inverted U-shaped dose–response relationship is observed with male mice. Also alters DNA methylation of estrogen Receptor 1 in the brain. |
| Kundakovic et al . [ 50 ] | BPA | Mice; in utero Human; cord blood | Induces BDNF hypermethylation in blood and brain of male mice. BDNF DNA methylation is higher in cord blood from boys whose mother had higher levels of BPA during pregnancy, suggesting BDNF DNA methylation may act as a biomarker for BPA exposure and potentially as an indicator of altered neurodevelopment. |
| Nahar et al . [ 51 ] | BPA | 36 human fetuses | BPA concentrations are positively associated with LINE-1 global DNA methylation in human placenta. |
Abbreviations: BPA, Bisphenol A; BDNF, Brain-derived neurotrophic factor; DNMT, DNA methyltransferase; PCBs, Polychlorinated biphenyls; PCDD, Polychlorinated dibenzodioxins; PCDF, Polychlorinated dibenzofurans.
Table 2.
summary of major studies included in this review linking altered DNA methylation as a result of environmental chemicals to ASD relevant endpoints
| Publication | Environmental chemical | Exposure period | Environment + DNA methylation + ASD link |
|---|---|---|---|
| Mitchell et al . [ 40 ] | PCB 95 | 107 postmortem human brain tissues | Patients with 15q duplication, a genetic determinant of autism, predicts PCB 95 exposure and these patients exhibit DNA hypomethylation of the LINE-1 element. |
| Senut et al . [ 41 ] | Lead | Human embryonic stem cells | Lead-induced changes in DNA methylation occur in genes involved in calcium ion import and actin cytoskeleton arrangement-pathways altered in ASD. Also link changes in DNA methylation to altered neuronal morphology. |
| Sanchez-Martin et al . [ 43 ] | Lead | Mice; in utero and lactational | Lead induced differential CpG methylation sites—predominantly DNA hypermethylation—in regions corresponding to genes implicated in ASD which function in neurogenesis, memory formation, neurite outgrowth, and axon formation. |
| Wolstenholme et al . [ 48 ] | BPA | Mice; gestational | BPA-induced changes in DNA methylation and gene expression are linked to altered social behavior—an endpoint with face validity to ASD. |
| Kundakovic et al . [ 49 ] | BPA | Mice; in utero | BPA-induced changes in Dnmt expression and DNA methylation are linked to altered social exploratory and anxiety-like behaviors in young adult mice by disrupting sexually dimorphic behaviors. |
| Kundakovic et al . [ 50 ] | BPA | Mice; in utero Human; cord blood | BPA-induced changes in BDNF DNA methylation and expression are linked to decreased novel object recognition in mice, indicating deficits in memory formation. |
Abbreviations: BPA, Bisphenol A; BDNF, Brain-derived neurotrophic factor; DNMT, DNA methyltransferase; PCBs, Polychlorinated biphenyls.
An Overview of DNA Methylation and Its Importance in Neurodevelopment
Epigenetic modifications such as DNA methylation, histone protein modifications, and microRNAs function to regulate the transcriptional potential of a cell without altering its DNA sequence. The establishment, maintenance, and removal of epigenetic marks are critical during neurodevelopment and when disrupted can have significant impacts on neurodevelopment and cognitive function [ 63–66 ]. DNA methylation, the focus of this review is one of the most widely studied epigenetic modifications in development and disease, including ASD.
DNA methylation refers to the addition of a methyl group to the 5′ position of cytosine. This typically occurs at regions rich in CpG [ 67 , 68 ]. DNA methylation is generally associated with transcriptional repression either through direct inhibition of transcription factor binding or the recruitment of methyl CpG binding domain (MBD) proteins, which interact with histone modifiers to confer a repressive chromatin state [ 69 ]. DNA methylation is catalysed by the DNA methyltransferase (DNMT) protein family. DNMT1 functions primarily in maintenance of DNA methylation whereas DNMT3A and DNMT3B are primarily involved in de novo DNA methylation [ 69 ]. Global deletion of mouse Dnmt1, Dnmt3b, or both Dnmt3a + Dnmt3b results in midgestation lethality [gestational day (GD) 9.5–11.5], while deletion of only Dnmt3a produces severe growth retardation and lethality by 4 weeks of age [ 70–72 ].
Pharmacological approaches and conditional deletion studies confirm roles for Dnmts in the developing central nervous system [ 73 , 74 ]. Conditional deletion of Dnmt1 in developing excitatory neurons and astroglia of the mouse cortex and hippocampus results in neuronal cell death between GD14.5 to 3 weeks postnatally and results in deficits in learning and memory in adulthood [ 63 ]. A fraction of hypomethylated neurons survive postnatally but exhibit increased dendritic branching and impaired excitability, likely through mechanisms related to neuronal layer specification, cell death, and ion channel function [ 63 ]. Mice lacking Dnmt1 and Dnmt3a in postmitotic neurons show abnormal long-term plasticity in CA1 hippocampal neurons along with deficits in learning and memory [ 75 ]. Additionally, inhibiting DNMT activity increases miniature excitatory postsynaptic currents in cultured cortical neurons, suggesting that DNA methylation regulates glutamatergic synaptic strength [ 76 ]. Together, these studies not only demonstrate the requirement for DNA methylation during neurodevelopment but also suggest that tight spatial and temporal regulation of Dnmts is important for activity-dependent synaptic plasticity. The relevance of these observations to ASD is indicated by recent advances in defining the molecular and cellular pathology of ASD that point to altered patterns of neuronal connectivity and synaptic plasticity in the developing brain as the neurobiological substrate underlying these disorders [ 11 , 77 , 78 ].
Epigenetic alterations can be stable and heritable and they can also be malleable and surprisingly dynamic in a spatially and temporally defined manner. The dynamic nature of DNA methylation is especially evident following fertilization in preimplantation embryos when a rapid wave of paternal genome demethylation occurs, followed by reestablishment of DNA methylation patterns to permit embryonic specification in the blastocyst [ 79 , 80 ]. The ability to alter DNA methylation patterns in a cell- and stage-specific fashion is retained throughout life and is a key component of cell differentiation, specification, and maturation. Altered patterns of DNA methylation are often a hallmark of disease onset and progression [ 66 , 69 ].
The fact that DNA methylation is malleable suggests that DNA methylation marks can also be removed. Identification of passive and active mechanisms by which DNA methylation marks can be lost has significantly impacted our understanding of transcriptional control of gene expression. Passive mechanisms of DNA demethylation include a reduction or loss of DNMT abundance or activity that reduce DNA methylation during subsequent rounds of DNA replication. In terms of active mechanisms of DNA demethylation, evidence points to MBD2, and even the DNMTs themselves, as having demethylase capability [ 81–83 ]; however, this is still controversial and does not preclude the participation of other factors leading to demethylation.
Significantly more is known about removal of DNA methylation through base modification of methylated cytosines followed by base excision and repair pathways [ 84 , 85 ]. One example is the conversion of methylated cytosine to hydroxymethylcytosine. This is catalysed by members of the 10 eleven translocation ( Tet ) gene family and is the primary mechanism responsible for paternal erasure of DNA methylation during fertilization [ 84–88 ]. Hydroxymethylation is found at a relatively high level in neurons compared with other cell types and accumulates over time. Importantly, the Tet genes have been implicated in activity-dependent learning and memory [ 89–91 ]. DNA hydroxymethylation has also been shown to regulate gene expression in the cerebellum of patients with autism [ 92 ]. Our understanding of DNA hydroxymethylation is in its infancy and will no doubt evolve as previously unrecognized mechanisms are discovered, some of which may be important for understanding ASD etiology.
Although the dynamic nature of DNA methylation is necessary for normal development and differentiation, it also renders these events susceptible to modulation by environmental factors such as diet, hormones, stress, drugs, or exposure to environmental chemicals. In the following sections, we discuss: (i) the effects of environmental chemicals implicated as ASD risk factors on DNA methylation; (ii) evidence implicating DNA methylation as a critical gene expression regulatory mechanism in ASD; and (iii) why environmentally induced changes in DNA methylation may underlie gene by environment interactions that determine individual risk of ASD (see also Tables 1–2 ).
Effect of Environmental Chemicals on DNA Methylation
Polychlorinated Biphenyls
PCBs are persistent organic pollutants that were initially synthesized in the 1930s for use in industrial mixtures as coolants and lubricants. Despite being banned from production in the 1970s, PCBs remain a current and significant public health risk due to the release of legacy PCBs from aging structures and landfills, and the inadvertent production of contemporary PCBs by industrial processes, primarily commercial paint pigments [ 93 ]. Recent studies have documented PCBs levels in excess of Environmental Protection Agency (EPA) standards in indoor air samples from elementary schools in USA [ 94 ], and the latest National Health and Nutrition Examination Survey (NHANES) data confirm widespread PCB exposures in women of childbearing age [ 58 ].
The weight of evidence from epidemiological studies supports a negative association between developmental exposure to PCBs and neuropsychological function in infancy and childhood [ 56 , 95–99 ]. Identifying the mechanism(s) by which PCBs interfere with normal neurodevelopment has been confounded by the existence of 209 PCB congeners, which are grouped according to their molecular structure as dioxin-like (DL) and non-dioxin like (NDL). DL PCBs are so named because like dioxin, these congeners bind to and activate the aryl hydrocarbon receptor (AHR); in contrast, NDL PCBs have negligible AHR activity [ 100 ]. Although both DL and NDL PCBs are ubiquitous in the environment, recent evidence indicates that NDL PCBs predominate over DL PCBs in environmental samples and human tissues [ 101–103 ]. This is of significant concern because data from experimental models suggest that PCB developmental neurotoxicity is mediated predominantly by NDL PCBs [ 27 , 104 ]. NDL PCBs are thought to disrupt normal neurodevelopment via modulation of signaling by biogenic amines, thyroid hormone, and intracellular calcium during critical windows of brain development [ 105 ]. Although PCBs have yet to be causally linked to ASD, several lines of evidence implicate PCBs as risk factors for ASD. First, studies in rodent models have shown that developmental PCB exposure causes deficits in social behavior [ 106 ]. Second, NDL PCB congeners modulate dendritic arborization and spine formation [ 107 , 108 ], and similar changes in neuronal connectivity have been observed in the autistic brain [ 109 , 110 ]. Third, NDL PCBs have been reported to activate calcium- dependent signaling pathways implicated in the pathogenesis of ASD [ 27 ].
PCBs and Altered DNA Methylation
Emerging evidence from in vitro , in vivo, and epidemiological studies suggest that PCB developmental neurotoxicity may be mediated in part by PCB effects on DNA methylation in the developing brain. Exposure to the NDL congener PCB 153 decreases DNMT activity in preimplantation mouse blastocytes [ 30 ], and decreases global DNA methylation levels in the N2A murine neuroblastoma cell line [ 31 ]. However, the latter finding may be unique to mouse cell lines since the DNA hypomethylating effects of PCB 153 were not observed in the human SK-N-AS neuroblastoma cell line [ 31 ]. Animal studies also link PCBs to reduced Dnmt abundance. In utero and lactational exposure to a mixture of 14 NDL + DL PCBs at 1.1 mg/kg/day from GD1 to postnatal day (P) 21 reduced levels of the methyl donor S-adenosylmethionine as well as levels of Dnmt1 , 3a, and 3b to 4, 54, and 17 of control values, respectively, in liver of prepubertal female Sprague-Dawley rats [ 32 ]. Similarly, postnatal exposure (P1, 5, 10, 15, and 20) to a 1000 × mixture of AHR agonists detected in human breast milk, including 3 DL PCBs (77, 126, and 169), reduced Dnmt1 mRNA abundance levels to 32% of controls in the hypothalamus of P21 female Sprague-Dawley rats [ 33 ]. Although both of these studies demonstrate reduced Dnmt abundance following early life PCB exposure, it should be noted that the PCB mixtures used differed between the studies. The Desaulniers et al . [ 32 ] study employed a PCB mixture of NDL + DL PCBs comprised predominantly of NDL PCB congeners. In contrast, the Desaulniers et al . [ 33 ] study used a mixture containing three DL PCBs as well as non-PCB AhR agonists including polychlorinated dibenzodioxins and polychlorinated dibenzofurans. There was no overlap in the PCBs examined between the two studies. Whether the reduction in Dnmt mRNA abundance is a consequence of all or just a subset of PCB congeners remains to be determined. Since humans are exposed to complex PCB mixtures, this is an important consideration when analysing DNA methylation following PCB exposures.
PCB-associated changes in DNA methylation have been shown to influence sexual development and alter sex-specific patterns of gene expression in the brain [ 34 ]. This is important since many hormones are required for or have significant impacts on neurodevelopment. Indeed, endocrine disruption has been hypothesized to contribute to ASD, in part because ASD is more prevalent in males than females [ 111–113 ]. Exposure of Sprague-Dawley rats to Aroclor 1221, a technical mixture of PCBs, at 1 mg/kg on GD16 and GD18 alters gene expression in a sex-specific manner, perturbing reproductive function by delaying time to puberty in males and altering cyclicity of estrous in females [ 35 ]. This study also examined impacts of PCB exposure on DNA methylation in the anteroventral periventricular (AVPV) nucleus and arcuate nucleus, which are regions of the brain known to regulate reproductive function. In female rats, PCB exposure increases gene expression profiles from P15-90 such that they are more similar to vehicle-treated male rats [ 35 ]. This masculinization pattern is seen in Dnmt1 expression as well, with PCB treatment increasing expression of Dnmt1 from P15-90 in the female rat AVPV to levels that are more typical of male expression [ 35 ]. The functional consequence of increased AVPV Dnmt1 transcript abundance in this study is unclear. Although PCB-induced changes in promoter DNA methylation were not detected in two genes upregulated by PCBs, including the androgen receptor ( Ar ), DNA methylation at 4 CpG sites of Ar was positively correlated with Ar mRNA expression uniquely in the AVPV of females exposed to PCBs versus control females [ 35 ]. These results are confounded by the fact that DNA methylation levels for genes expressed in the AVPV at P15 are already low, which could limit levels of detection [ 35 ]. Nonetheless, these results indicate that PCB-dependent changes in DNA methylation may impact endocrine function with consequences on gene expression in the brain.
The growing body of evidence from in vitro and experimental animal models indicating that PCBs alter the methylome extends to humans. In a cohort of 399 healthy Japanese women, serum levels of NDL PCBs 17, 52, 69, 74, 183, and DL PCB 114 were inversely associated with global DNA methylation levels in leukocytes [ 36 ]. A similar trend was observed in a second population of healthy Koreans for NDL PCB 153, 183, and 187 [ 37 ] and in a population of Greenlandic Inuits [ 38 ]. Conversely, in a separate study of 524 elderly men and women (70 years of age) living in Uppsala, Sweden, high levels of DL PCBs were associated with global DNA hypermethylation [ 39 ]. While there were significant differences in age, geographical location, and lifetime exposure levels to different PCBs between these study populations, these studies raise the possibility that the composition or congener profile of the PCB exposure is an important determinant of the outcome on the methylome [ 114 ]. There is evidence to suggest that the DL and NDL PCBs have opposing actions on DNA methylation, with DL PCBs shifting the balance toward DNA hypermethylation, as was observed in the Sweden study [ 39 ], and NDL PCBs favoring DNA hypomethylation as observed in the Korean and Inuit studies [ 36 , 38 ]. This possibility is further supported by reports that 2,3,7,8-tetrachlorodibenzo-p-dioxin induces DNA hypermethylation [ 30 , 115 ]. Although it is known these NDL and DL PCB congeners act through different signaling pathways, the question of whether they differentially alter DNA methylation remains to be carefully investigated.
Lifetime exposure levels are also likely confounding variables in epidemiological studies. For example, in healthy Koreans, exposure to PCBs exhibits an inverted U-shape dose–response relationship with DNA methylation of the promoter region of the DNA repair gene, O6-methylguanin-DNA methyltransferase [ 116 ]. Interestingly, a nonmonotonic dose–response relationship has also been reported for NDL PCB effects on dendritic arborization of cultured rat hippocampal neurons [ 107 ] and learning and memory deficits in rats exposed throughout gestation and lactation to NDL PCBs in the maternal diet [ 117 ]. This raises the interesting question of whether there may be a link between PCB effects on DNA methylation and PCB effects on neurodevelopmental outcomes of relevance to autism.
Lead
Common sources of lead exposure include paint, household items, air, and water. Children are often exposed to higher levels than adults, with an estimated 535 000 US children aged 1–5 years of age having blood lead levels higher than the reference level set by the CDC [ 118 ]. Studies of lead exposure in children provide evidence of impaired executive function and attention [ 119 ]. Animal models of developmental lead exposure also indicate changes in behavioral and neurochemical endpoints similar to those seen in children with ASD [ 119 , 120 ].
Lead and Altered DNA Methylation
There is evidence to implicate DNA methylation as a potential mechanism by which developmental lead exposure alters neurodevelopment and function throughout life [ 121 , 122 ]. In cultured human embryonic stem cells, physiologically relevant concentrations of lead (0.4–1.9 µM) cause dose-dependent changes in DNA methylation of 1275 genes during neural progenitor differentiation, with the majority displaying DNA hypomethylation [ 41 ]. The top hypomethylated genes are involved in neurological system processes, calcium ion import, and actin cytoskeleton arrangement while the top hypermethylated genes belong to families responsible for calcium ion import and development of neuronal projections [ 41 ]. These are pathways that are also dysregulated in ASD [ 27 , 105 , 123 ].
Lead-induced changes in DNA methylation are stage specific, with the greatest number of changes observed in differentiating human embryonic stem cells relative to undifferentiated human embryonic stem cells or neural progenitor cells [ 41 ]. Consistent with this evidence of stage-specific changes in DNA methylation, lead exposure also produces differential effects on neurite outgrowth dependent upon the developmental stage at the time of exposure. Lead exposure during neural rosette formation produces shorter neurites and reduces branching compared with controls, whereas lead exposure during later developmental stages increases the number and length of neurites [ 41 ]. These findings are important for two reasons: (i) they reveal a sensitive developmental window during which lead exposure produces a greater number of changes in DNA methylation and (ii) they link altered DNA methylation to changes in neuronal morphology. Whether lead-induced changes in DNA methylation are causally linked to effects on neurite morphology has yet to be determined. Additional questions that remain include the functional consequences of lead-induced changes in DNA methylation and neurite morphology in terms of synaptic connectivity or higher orders of function, such as learning and memory or social interactions. Despite these challenges, the observation that lead changes DNA methylation in a human embryonic stem cell line supports the hypothesis that epigenetic mechanisms underlie lead developmental neurotoxicity in humans.
The findings of Senut et al . [ 41 ] in terms of developmental windows of lead sensitivity are corroborated by experimental animal studies. Analyses of Dnmt1 expression in rats exposed to lead throughout gestation and lactation versus only during lactation reveal that dose, developmental age during which exposure occurs, and sex influence the lasting impacts of lead on DNMT expression. Exposure to lead (150, 375, 750 ppm) in utero and throughout lactation significantly reduced DNMT1 protein abundance by ∼25% uniquely in the female P55 Long Evans rat hippocampus [ 42 ]. In contrast, lactational exposure only (P1-21) had no effect on DNMT1 abundance in the female P55 hippocampus. However, in the male P55 hippocampus, lactational exposure to lead diminished DNMT1 expression by 18–23% at the lower doses of 150, 375 ppm and enhanced DNMT1 expression by 20% at the highest dose of 750 ppm [ 42 ]. Sex- and stage-specific changes are also observed for DNMT3A and methyl CpG binding Protein 2 (MECP2) [ 42 ]. A serious caveat with these studies is that the levels of lead used are not relevant to most human lead exposures. However, consistent with these findings, developmental exposure to more physiologically relevant levels of lead (3, 30 ppm) has been reported to cause differential DNA methylation in male versus female cortex and hippocampus of young adult mice [ 43 ]. In this study, developmental lead exposure (3, 30 ppm) resulted in over 1000 differentially methylated CpG sites, predominantly DNA hypermethylation, in regions corresponding to 117 unique genes in the adult female mouse hippocampus whereas no changes were observed in male mice [ 43 ]. Importantly, differential DNA methylation is retained when blood levels of lead from developmentally exposed animals have returned to levels of unexposed control animals [ 43 ]. Thus, developmental exposure to lead is sufficient to induce persistent changes in DNA methylation in a sex- and brain region-specific fashion, with female mice showing greater changes than male mice, and hippocampus showing greater changes than cortex. The functional consequence of lead-induced DNA hypermethylation in this context has yet to be defined but may account for changes in gene expression important for synapse and memory formation [ 43 ].
Epidemiological studies also suggest that lead can induce changes in DNA methylation [ 44 , 46 , 124 ]. In men, patellar lead levels are inversely associated with global LINE-1 DNA methylation levels in blood [ 44 ]. Similarly, maternal lead levels are inversely correlated with genomic DNA methylation of the LINE-1 element in umbilical cord blood [ 45 ]. Gene-specific alterations in DNA methylation are also linked to lead exposure. In a study of adult men exposed to lead, those with the highest blood lead levels had complete DNA methylation of the p16 gene, a tumor suppressor gene involved in neurodegeneration [ 125 ]. In contrast, men with lower lead levels had partial to no DNA methylation of the p16 gene [ 46 ]. Thus, p16 DNA methylation may serve as a biomarker of lead exposure. These data also raise the intriguing hypothesis that changes in p16 expression in the brain may contribute to neurodevelopmental and/or neurodegenerative effects of lead. Together, these observations support the possibility that lead-induced changes in DNA methylation may play a role in developmental neurodevelopmental disorders, possibly by altering genes important for calcium ion import, neuron projection development, actin cytoskeletal arrangement, and neurodegeneration.
BPA
BPA is found in household plastics and other products, including food and beverage cans [ 126 ]. According to 2003–04 NHANES data, detectable levels of urinary BPA were found in over 92% of people 6 years of age or older sampled in USA [ 127 ]. Alarmingly, levels were highest among children [ 127 ]. BPA is thought to be an endocrine disruptor that acts as an estrogen mimetic [ 128–131 ], thus research has focused largely on its effects in reproductive tissues. However, BPA exposure has also been linked to effects in the developing brain, including altered synapse formation and abnormalities in neurite and dendrite morphology [ 132 ], and it is associated with cognitive and social impairments in rodents [ 48 , 133–135 ]. In a cohort of 198 children ages 3–5, high levels of maternal BPA were associated with altered emotional reactivity including increased aggressive behavior in boys [ 136 ]. Furthermore, in a recent report of 46 children with ASD and 52 age-matched neurotypical control children, total urine BPA concentrations were higher in children with ASD compared with controls [ 137 ].
BPA and Altered DNA Methylation
Epigenetic alterations have been implicated in BPA-associated changes in pathology and function in several hormone-responsive tissues including the brain [ 49 , 130 , 138–141 ]. In embryonic hypothalamic mouse cell lines, BPA (200 µM) decreases Dnmt1 and 3a expression by ∼30% but increases Dnmt3b abundance nearly 2-fold relative to control levels [ 47 ]. This is an interesting observation considering micromolar concentrations of BPA are also capable of decreasing synaptic density in cultured rat hypothalamic neurons [ 142 ]. Whether these two observations are causally linked is unknown but raises the intriguing hypothesis that DNA methylation mediates the effects of BPA on neuronal connectivity.
In mouse models, gestational BPA exposure (1.25 mg/kg in the maternal diet; resulting in 5 micrograms of BPA ingested daily) selectively decreased Dnmt1 abundance in the GD18 female mouse brain while male levels were unaltered [ 48 ]. Importantly, this exposure produced blood BPA levels within the range detected in humans. Changes in Dnmt1 abundance do not necessarily lead to changes in global or gene-specific DNA methylation but this question was not examined in this study. However, under this experimental paradigm, BPA exposure increased expression of the glutamate transporter Scl1a1 in female but not male brain at GD18 [ 48 ]. Gestational exposure to BPA also increased sex-dependent changes in social interaction, uniquely increasing social interaction among juvenile female mice [ 48 ]. Whether changes in Slc1a1 DNA methylation drive changes in protein expression and/or behavior can not be concluded from these studies but raises the possibility. An interesting observation in this study is that BPA uniquely impacted Dnmt3a expression in female but not male mouse brain, but unlike its effects on Dnmt1 , BPA prevented female-specific reduction in Dnmt3a expression [ 48 ]. Thus, in the female GD18 brain, BPA exposure resulted in Dnmt3a expression typical of male mice. This observation is consistent with BPA acting as an endocrine disruptor and is also reminiscent of masculinization phenotypes observed with PCB exposure as mentioned earlier [ 35 ]. The consequences of increased Dnmt1 but decreased Dnmt3a expression are not known but are likely gene, tissue, and stage specific.
Although not conclusive, these are among the first studies to provide evidence that there may be sex-dependent differences in sensitivity to BPA during brain development that translate to altered Dnmt gene expression and behavior in juvenile animals. Subsequent studies support this possibility. In utero exposure to BPA was shown to cause sex-, dose-, and brain region-specific changes in Dnmt expression [ 49 ]. In utero BPA exposure (2, 20, 200 µg/kg/day) significantly decreased Dnmt1 expression in the prefrontal cortex of both male and female mice. This same exposure paradigm produced a nonmonotonic dose response for Dnmt1 expression in the hypothalamus and Dnmt3a expression in the prefrontal cortex. Interestingly, a U-shaped dose–response relationship was observed in female mice, whereas an inverted U-shaped dose–response relationship was observed in male mice [ 49 ].
BPA exposure also alters social exploratory and anxiety-like behaviors in young adult mice (P30-70) by disrupting sexually dimorphic behaviors. Exposure to BPA reduced chasing behavior in males to levels similar to that of females and reversed the sex-dependent differences in open field behavior in distance traveled and inner area time such that each parameter was reduced in females and increased in male mice [ 49 ]. High doses of BPA are also associated with increasing aggressive behavior [ 49 ]. These sexually dimorphic changes were linked to BPA-induced alterations in DNA methylation and expression of estrogen Receptor 1 in the brain [ 49 ]. Why this study observed unique changes in male and female mice while the earlier study [ 48 ] only observed alterations in female mice is likely due to differences in BPA administration (dietary versus oral dosing), strain of mice used (C57Bl/6 versus BALB/c), the developmental ages examined, and the endpoints measured. However, both studies are consistent in demonstrating that in utero exposure to BPA has epigenetic effects on the brain that are associated with permanent sex-dependent differences in Dnmt expression and behavior in mice. Considering ASD is more prevalent in boys than girls, examining mechanisms underlying sex-dependent differences in Dnmts and DNA methylation are warranted. These studies further confirm a nonmonotonic dose–response relationship in regard to changes in Dnmt expression and mouse social behavior, important points to consider when conducting and analysing these types of studies.
Epigenetic “Memory” of Past Environmental Exposures
Environmental exposures have been linked to epigenetic mechanisms of transgenerational changes in gene expression and behavior. Transgenerational inheritance is considered a permanent alteration in the epigenome of the germ line that results in heritable transmission [ 143 ]. Evidence of transgenerational effects of environmental chemical exposures that are relevant to neurocognitive function come from studies using BPA and vinclozolin, an endocrine disruptor with antiandrogenic effects. One study examined mate preference in rats, a task that relies on multiple brain regions including amygdala, hippocampus, olfactory bulb, cingulated cortex, entorhinal cortex, and preoptic area-anterior hypothalamus [ 144 , 145 ]. Third generation female (F3) descendents of rats exposed to vehicle or vinclozolin (100 mg/kg) from GD8-14, preferred F3 vehicle lineage male rats versus F3 vinclozolin lineage male rats, suggesting differential mate preference [ 144 ]. F3 vinclozolin lineage male and female rats exhibited sexually dimorphic disruption of transcription in the hippocampus and amygdala, including changes in pathways involved in axon guidance and long-term potentiation [ 146 ]. Since these brain regions are associated with learning, memory, and anxiety, it is not surprising that vinclozolin transgenerational exposure is also linked to behavior. F3 vinclozolin male rats displayed a decrease in anxiety-like behaviors while F3 vinclozolin female rats exhibited an increase in anxiety-like behaviors [ 146 ]. Thus, epigenetic reprogramming of the germline by environmental exposures can alter the brain transcriptome and influence behavior.
In utero BPA exposure has also been implicated in transgenerational effects on rodent brain development and behavior. In one study, compared with controls, F3 juvenile mice from the BPA exposed line (5 mg/kg diet) showed increased locomoter activity in the open field test and increased investigation of a stimulus mouse upon subsequent trials [ 147 ]. Despite intact olfactory senses, F3 mice from the BPA lineage did not become habituated to a familiar stimulus mouse and did not switch their interaction preference after the introduction of a novel mouse [ 147 ]. Reduced expression of estrogen receptor, oxytocin, and vasopressin in the brain were observed and postulated to underlie the deficits in behavior of mice in the BPA lineages [ 148 ]. Together, these results suggest that BPA exposure has transgenerational effects on brain transcript abundance and social recognition tasks in mice.
Neuroanatomic consequences have also been linked to transgenerational epigenetic reprogramming and altered learning and memory. Female F2 descendents of mice exposed to BPA (1, 10 mg/kg) on GD6-17 displayed a decreased number of newly generated hippocampal cells compared with vehicle lines [ 149 ]. This change was associated with deficits in learning and memory. Although Morris water maze testing did not reveal significant differences between treatment groups, F2 mice of the BPA lineage did exhibit reduced cross over latency in passive avoidance testing, suggesting impaired ability to remember past foot shock [ 149 ]. These mice also displayed deficits in brain-derived neurotrophic factor (BDNF), phosphorylated cAMP response element binding protein (p-CREB) and phosphorylated extracellular signal-regulated kinase, which were accompanied by changes in DNA methylation of the CREB regulated transcription factor coactivator 1 gene [ 149 ]. These data are important because they establish the link between environmental exposures and transgenerational impacts on the brain transcriptome coincident with altered behavior.
The observation that effects of environmental exposures can be transgenerationally inherited via the germline epigenome further strengthens the hypothesis that the epigenome mediates the effects of gene by environment interactions on adverse neurodevelopmental outcomes of relevance to ASD. Further, it suggests the possibility that autism risk can change over generations. Understanding the complex epigenetic changes occurring in animal models will undoubtedly shed light on the etiology of brain development and ASD.
DNA Methylation Changes Observed in ASD
Several genetic disorders with high penetrance of ASD, including Rett, Fragile-X, Prader-Willi, and Angelman syndromes, result from alterations in genes involved in epigenetic modifications. For example, Rett syndrome is associated with mutations in the MECP2 [ 150 , 151 ]. Independent of specific genetic mutations, changes in global DNA methylation and DNMT expression have also been observed in patients with ASD. In the cerebellum of autistic patients, DNMT1, 3A, and 3B expression are elevated compared with neurotypical controls [ 92 , 152 ], which aligns with findings of increased global DNA methylation and hydroxymethylation in these patients [ 92 , 152 ]. Additionally, there are numerous reports linking changes in DNA methylation to altered gene expression in patients with ASD versus neurotypical controls. Some examples are highlighted later and readers are referred to recent reviews on the topic [ 65 , 151 , 153–155 ].
Altered DNA methylation has been linked to reduced expression of genes in the GABAergic inhibitory system, a neurotransmitter system implicated in the pathophysiology of ASD [ 156 ]. Two examples include glutamate decarboxylase 67 ( GAD1 ), which decarboxylates glutamate to form gamma-aminobutyric acid (GABA), and reelin, a gene expressed in GABAergic neurons that functions in neural migration and cortical lamination during development [ 157 ]. Both genes are reduced in patients with ASD relative to neurotypical controls and are associated with changes in DNA methylation and hydroxymethylation marks within the promoter region leading to MECP2-dependent repression [ 158 ].
Imbalances in synaptic connectivity have also been posited as a mechanism underlying ASD pathogenesis [ 77 , 159 ] and may provide a biological substrate for enhanced susceptibility to environmental factors [ 27 , 77 , 159 ]. The synaptic protein SH3 and multiple repeat domains 3, SHANK3, is a postsynaptic scaffolding protein of excitatory glutamatergic synapses. Translocation and breakpoint mutations in SHANK3 have been consistently implicated in developmental delays and ASD [ 160 ]. SHANK3 expression in brain and other tissues is regulated by DNA methylation [ 161 , 162 ], and increased levels of SHANK3 DNA methylation, corresponding to decreased isoform-specific expression of SHANK3, have been observed in postmortem brain tissues of ASD patients compared with neurotypical control tissues [ 162 ].
Neonatal levels of BDNF , a critically important gene in neural development, neuronal connectivity, and activity-dependent synaptic plasticity [ 50 , 163 ], are reduced in children later diagnosed with ASD compared with age-matched controls [ 164 ]. However, when examined in older children (4 and 11 years of age), serum levels of BDNF are elevated in children with ASD versus neurotypical controls [ 165 , 166 ]. The reason for the discrepancy in these two findings is unknown but may be specific to the developmental stage examined. BDNF transcription is regulated by DNA methylation [ 167 , 168 ] and altered patterns of BDNF DNA methylation has been found in patients with cognitive impairments [ 167 , 169 , 170 ]. Whether changes in BDNF DNA methylation contribute to altered BDNF expression observed in ASD patients has yet to be determined.
DNA methylation is complex and not always directly associated with decreased gene expression. For example, overexpression of engrailed 2 ( EN2 ), another gene implicated in autism, is associated with DNA hypermethylation in the cerebellum of ASD patients [ 171 ]. Although seemingly counterintuitive, follow-up studies to distinguish DNA methylation from hydroxymethylation, confirmed elevated EN2 DNA hydroxymethylation in ASD cerebellum relative to controls [ 92 ]. The authors further showed that repressive MECP2 binding was reduced in areas of DNA hydroxymethylation, likely due to MECP2’s lower affinity for DNA hydroxymethylation versus DNA methylation [ 172 ]. This observation provides a plausible mechanism for the elevated EN2 expression and increased DNA methyl marks in ASD cerebellum. These results are important because they highlight the complex interaction between DNA methyl marks and gene expression and serve as a reminder that elevated DNA methylation is not necessarily inconsistent with elevated gene expression.
Studies of monozygotic twins provide additional evidence that epigenetic mechanisms play a role in ASD etiology [ 21 , 173 ]. Among 50 pairs of disease discordant monozygotic twins, several genes were found to be differentially methylated between the twin diagnosed with ASD and the nonsymptomatic twin, including genes previously implicated in ASD pathology such as GABRB3 , AFF2 , NLGN2 , JMJD1C , SNRPN , SNURF , UBE3A, and KCNJ10 [ 21 ]. Further, there were significant DNA methylation differences between autistic twin pairs discordant for autistic traits (social, restrictive repetitive behaviors and interests, and communication) [ 21 ]. The changes in DNA methylation at differentially methylated CpG sites also correlated with total childhood autism symptoms test scores [ 21 ]. Together, these studies support a role for epigenetic mechanisms, and in particular, DNA methylation, in determining ASD susceptibility and raise new questions as to how environmentally mediated changes in the epigenome contribute to autism etiology.
DNA Methylation: Bridging the Gap between Environmental Exposure and ASD Susceptibility
In the sections earlier, we highlighted evidence demonstrating that: (i) environmental factors contribute to determining individual ASD risk and/or severity; (ii) developmental exposures to environmental chemicals can alter DNA methylation in multiple tissues, including the brain; and (iii) changes in DNA methylation have been documented in autistic individuals and implicated in ASD pathogenesis. The question remaining is whether these events are causally linked. Currently, evidence pointing to changes in DNA methylation as a mechanism by which environmental chemicals contribute to ASD risk is limited ( Table 2 ) but the few studies that have addressed this question have potentially significant implications regarding the importance of environmental epigenetics in the etiology of ASD. Perhaps most intriguing are recent data suggesting a link between PCB exposure, DNA methylation, and autism risk. The goal of this study [ 40 ] was to quantify levels of specific PCB and polybrominated diphenyl ether (PBDE) congeners in postmortem brain tissues from neurotypic controls versus patients with autism of unknown etiology and autistic patients comorbid for other neurodevelopmental disorders with a known genetic cause such as maternal Chromosome 15 q11-q13 duplication (15q duplication). Of the eight PCB congeners examined, the only environmental chemical that varied significantly between groups was the NDL congener PCB 95. 15q duplication was the strongest predictor of PCB 95 exposure and these individuals also exhibited DNA hypomethylation of the LINE-1 element [ 40 ]. Although it has yet to be determined whether there is a causal relationship between PCB 95 exposure and 15q duplication, and if so the nature of the relationship (e.g. did the PCB 95 exposure increase the risk of 15q duplication or did the genetic anomaly contribute to increased accumulation of PCB 95 in the brain), these findings are consistent with the hypothesis that complex genetic, epigenetic, and environmental factors interact to determine risk for autism. They further support the possibility that the epigenome may be a convergence point for effects of environmental neurotoxicants like PCBs on genes that confer susceptibility for ASD or other neurodevelopmental disorders.
In animal models, in utero exposure to BPA (200 µg/kg/day) produces sex-dependent alterations in DNA methylation and expression of mouse hippocampal genes [ 50 ]. Exposure to BPA increased hippocampal expression of Bdnf in female P28 mice but decreased it in male mice, and these effects persisted to at least P60 [ 50 ]. Concurrently, changes in Bdnf expression were associated with sex-specific changes in DNA methylation driven by male-induced hypermethylation of a CpG site within the Bdnf promoter [ 50 ]. BPA-induced changes in hippocampal gene expression and DNA methylation were accompanied by decreased exploration of a novel object [ 50 ], an endpoint used to indicate deficits in learning and memory. BPA-induced changes in BDNF DNA methylation are also observed in humans. BDNF DNA methylation is higher in cord blood from boys whose mother had higher levels of BPA during pregnancy [ 50 ]. Intriguingly, these boys at 3–5 years of age displayed increased aggressive behavior and their emotionally reactive symptom scores were 1.62 times higher compared with boys with low prenatal BPA concentrations [ 136 ]. Thus, BDNF DNA methylation may serve as a biomarker for BPA exposure, and potentially as an indicator of behavioral deficits in children [ 50 ]. These results corroborate findings that total BPA concentrations are positively associated with LINE-1 global DNA methylation in human placenta [ 51 ].
Together, these results link exposure to the environmental chemicals PCBs and BPA to changes in DNA methylation, gene expression, and behavior. Whether these events are causally linked is unknown but future studies aimed at addressing this important question are warranted.
Challenges for the Future
The studies highlighted in this review identify a common theme: developmental exposures to environmental chemicals decrease Dnmt expression or decrease global DNA methylation levels ( Table 1 ). This suggests two possible mechanisms by which environmental chemicals change DNA methylation: (i) altering Dnmt expression or activity or (ii) altering DNA base modifications and repair mechanisms known to participate in reducing DNA methylation. Since these processes themselves are not completely understood, how environmental chemicals produce these changes remains a significant knowledge gap in the field. These changes likely occur in a sex-, stage,- and gene-specific fashion providing a further challenge to understanding the functional consequences of the full battery of epigenetic changes elicited by environmental exposures during neurodevelopment.
The importance of addressing the impact of environmentally induced changes in the methylome on neurodevelopmental outcomes is heightened by the observation that the directional change in DNMT expression/DNA methylation upon exposure to environmental chemicals is not always consistent with that observed in ASD patients. These discrepancies highlight the necessity for moving away from assessment of global methylation toward assessment of gene-specific changes. Addressing these questions will be challenging, in part because of limitations in the tools currently available to address these questions. Pharmacological inhibitors of DNA methylation are available but lack gene or cell type specificity and can have off-target effects. Genetically modified animals that enable conditional deletion of Dnmts are available and have proven invaluable for understanding the role of Dnmts in a cell type and developmental stage-specific fashion; however, they do not provide the ability to alter DNA methylation in a gene-specific fashion. These limitations notwithstanding, studies examining the effects of environmental chemical exposures in these genetically modified animals would likely provide useful insights. Additionally, extending environmental epigenetic studies focused on neurodevelopmental outcomes to animal models such as guinea pig and nonhuman primates with primarily postnatal brain development will be important for addressing issues related to species differences in prenatal versus postnatal brain development [ 174 , 175 ]. Finally, future epidemiological studies focused on environmental exposures, global DNA methylation, gene-specific DNA methylation in the brain, and ASD severity in cohorts of ASD patients versus neurotypic controls are needed. As the field of epigenetics continues to grow, integration of new techniques with proven approaches will no doubt enhance our understanding of epigenetic mechanisms underlying gene by environment interactions in ASD.
As indicated earlier, a critical knowledge gap is the paucity of evidence indicating whether environmental chemical effects on DNA methylation target genes specifically implicated in ASD. In other words, are DNA methylation changes induced by developmental exposures to environmental chemicals causally linked to adverse neurodevelopmental outcomes via altered expression of ASD susceptibility genes? Additionally, with a heterogeneous disease like ASD, how is the degree of impairment determined? This is an important area of future study with clinical significance. Finally, it is important to remember that differential DNA methylation is only one of a number of epigenetic mechanisms that may play a role in determining ASD risk.
Conclusion
The epigenome may mediate effects of environmental risk factors on the developing brain, especially during developmental stages when epigenetic patterns are being established. These early life perturbations can have lasting impacts on gene expression and behavior and, thus, provide a plausible mechanism by which environmental factors converge on existing genetic mutations to determine the risk and severity of ASD.
The malleability of the epigenome is both negative, in that it increases susceptibility to the neurotoxic effects of environmental chemicals, and positive, in that the very fact that it can be modulated raises opportunities for therapeutic interventions. On the other hand, the dynamic nature of the epigenome suggests that each individual likely has a unique combination of epigenetic marks based on timing of exposures, frequency and dose of exposure, and the combination of environmental exposures, which in turn interacts with the individual’s unique genetic substrate. This makes an approach to reverse abnormal epigenetic marks very difficult and would likely manifest in a heterogeneous population response to any given therapeutic strategy. Nonetheless, one such approach has been to intervene with DNA methylation through modifying the availability of methyl donors in the diet. Folic acid along with methionine, choline, and others are essential methyl donors in the reaction catalysed by Dnmts to add methyl groups to DNA. Therefore, by altering levels of available methyl donors, changes in DNA methylation can be studied along with their downstream consequences. The use of diet in modulating ASD pathogenesis is an active area of research and readers are referred to reviews on the topic [ 153 , 176 ]. The fact that chemical exposures are more readily controlled than genetic factors to prevent or mitigate deleterious traits related to neurodevelopmental disease, coupled with the fact that the epigenome is malleable, underscore the relevance, and potentially significant impact of investigating epigenetic mechanisms of environmentally induced adverse neurodevelopmental outcomes in ASD.
Acknowledgements
The authors thank Dr Chad Vezina (University of Wisconsin-Madison) for comments on earlier versions of the article. This work was supported by the National Institutes of Health (grants ES014901, ES011269 to P.J.L.) and the US Environmental Protection Agency (grant R833292). The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health or the United States Environmental Protection Agency.
Conflict of interest : None declared.
References
- 1. Geschwind DH, Levitt P . Autism spectrum disorders: developmental disconnection syndromes . Curr Opin Neurobiol 2007. ; 17 : 103 – 11 . [DOI] [PubMed] [Google Scholar]
- 2. Geschwind DH . Advances in autism . Annu Rev Med 2009. ; 60 : 367 – 80 . [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3. Nazeer A, Ghaziuddin M . Autism spectrum disorders: clinical features and diagnosis . Pediatr Clin North Am 2012. ; 59 : 19 – 25, ix . [DOI] [PubMed] [Google Scholar]
- 4. CDC . Prevalence of autism spectrum disorder among children aged 8 years - autism and developmental disabilities monitoring network, 11 sites, United States, 2010 . MMWR Surveill Summ 2014. ; 63 : 1 – 13 . [PubMed] [Google Scholar]
- 5. Grether JK, Rosen NJ, Smith KS, et al. . Investigation of shifts in autism reporting in the California Department of Developmental Services . J Autism Dev Disord 2009. ; 39 : 1412 – 9 . [DOI] [PubMed] [Google Scholar]
- 6. Hertz-Picciotto I, Delwiche L . The rise in autism and the role of age at diagnosis . Epidemiology 2009. ; 20 : 84 – 90 . [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7. King M, Bearman P . Diagnostic change and the increased prevalence of autism . Int J Epidemiol 2009. ; 38 : 1224 – 34 . [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8. Keyes KM, Susser E, Cheslack-Postava K, et al. . Cohort effects explain the increase in autism diagnosis among children born from 1992 to 2003 in California . Int J Epidemiol 2012. ; 41 : 495 – 503 . [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9. Lavelle TA, Weinstein MC, Newhouse JP, et al. . Economic burden of childhood autism spectrum disorders . Pediatrics 2014. ; 133 : e520 – 9 . [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10. Autism Genome Project C , Szatmari P, Paterson AD, et al. . Mapping autism risk loci using genetic linkage and chromosomal rearrangements . Nat Genet 2007. ; 39 : 319 – 28 . [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11. Buxbaum JD, Hof PR . The emerging neuroscience of autism spectrum disorders . Brain Res 2011. ; 1380 : 1 – 2 . [DOI] [PubMed] [Google Scholar]
- 12. El-Fishawy P, State MW . The genetics of autism: key issues, recent findings, and clinical implications . Psychiatr Clin North Am 2010. ; 33 : 83 – 105 . [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13. Geschwind DH . Genetics of autism spectrum disorders . Trends Cogn Sci 2011. ; 15 : 409 – 16 . [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14. Herbert MR . Contributions of the environment and environmentally vulnerable physiology to autism spectrum disorders . Curr Opin Neurol 2010. ; 23 : 103 – 10 . [DOI] [PubMed] [Google Scholar]
- 15. Landrigan PJ, Lambertini L, Birnbaum LS . A research strategy to discover the environmental causes of autism and neurodevelopmental disabilities . Environ Health Perspect 2012. ; 120 : a258 – 60 . [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16. Veenstra-Vanderweele J, Christian SL, Cook EH, Jr . Autism as a paradigmatic complex genetic disorder . Annu Rev Genomics Hum Genet 2004. ; 5 : 379 – 405 . [DOI] [PubMed] [Google Scholar]
- 17. Abrahams BS, Geschwind DH . Advances in autism genetics: on the threshold of a new neurobiology . Nat Rev Genet 2008. ; 9 : 341 – 55 . [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18. O’Roak BJ, State MW . Autism genetics: strategies, challenges, and opportunities . Autism Res 2008. ; 1 : 4 – 17 . [DOI] [PubMed] [Google Scholar]
- 19. Levitt P, Campbell DB . The genetic and neurobiologic compass points toward common signaling dysfunctions in autism spectrum disorders . J Clin Invest 2009. ; 119 : 747 – 54 . [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20. Judson MC, Eagleson KL, Levitt P . A new synaptic player leading to autism risk: Met receptor tyrosine kinase . J Neurodev Disord 2011. ; 3 : 282 – 92 . [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21. Wong CC, Meaburn EL, Ronald A, et al. . Methylomic analysis of monozygotic twins discordant for autism spectrum disorder and related behavioural traits . Mol Psychiatry 2014. ; 19 : 495 – 503 . [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22. Smith AK, Mick E, Faraone SV . Advances in genetic studies of attention-deficit/hyperactivity disorder . Curr Psychiatry Rep 2009. ; 11 : 143 – 8 . [DOI] [PubMed] [Google Scholar]
- 23. Hallmayer J, Cleveland S, Torres A, et al. . Genetic heritability and shared environmental factors among twin pairs with autism . Arch Gen Psychiatry 2011. ; 68 : 1095 – 102 . [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24. Sandin S, Lichtenstein P, Kuja-Halkola R, et al. . The familial risk of autism . JAMA 2014. ; 311 : 1770 – 7 . [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25. Bale TL, Baram TZ, Brown AS, et al. . Early life programming and neurodevelopmental disorders . Biol Psychiatry 2010. ; 68 : 314 – 9 . [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26. Schmidt RJ, Tancredi DJ, Ozonoff S, et al. . Maternal periconceptional folic acid intake and risk of autism spectrum disorders and developmental delay in the CHARGE (CHildhood Autism Risks from Genetics and Environment) case-control study . Am J Clin Nutr 2012. ; 96 : 80 – 9 . [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27. Stamou M, Streifel KM, Goines PE, et al. . Neuronal connectivity as a convergent target of gene x environment interactions that confer risk for Autism Spectrum Disorders . Neurotoxicol Teratol 2013. ; 36 : 3 – 16 . [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28. Geier DA, Hooker BS, Kern JK, et al. . An evaluation of the effect of increasing parental age on the phenotypic severity of autism spectrum disorder . J Child Neurol 2014. , 10.1177/0883073814541478 . [DOI] [PubMed] [Google Scholar]
- 29. Roberts AL, Lyall K, Rich-Edwards JW, et al. . Maternal exposure to intimate partner abuse before birth is associated with autism spectrum disorder in offspring . Autism 2016. ; 20 : 26 – 36 . [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30. Wu Q, Zhou ZJ, Ohsako S . [Effect of environmental contaminants on DNA methyltransferase activity of mouse preimplantation embryos] . Wei Sheng Yan Jiu 2006. ; 35 : 30 – 2 . [PubMed] [Google Scholar]
- 31. Bastos Sales L, Kamstra JH, Cenijn PH, et al. . Effects of endocrine disrupting chemicals on in vitro global DNA methylation and adipocyte differentiation . Toxicol in vitro 2013. ; 27 : 1634 – 43 . [DOI] [PubMed] [Google Scholar]
- 32. Desaulniers D, Xiao GH, Lian H, et al. . Effects of mixtures of polychlorinated biphenyls, methylmercury, and organochlorine pesticides on hepatic DNA methylation in prepubertal female Sprague-Dawley rats . Int J Toxicol 2009. ; 28 : 294 – 307 . [DOI] [PubMed] [Google Scholar]
- 33. Desaulniers D, Xiao GH, Leingartner K, et al. . Comparisons of brain, uterus, and liver mRNA expression for cytochrome p450s, DNA methyltransferase-1, and catechol-o-methyltransferase in prepubertal female Sprague-Dawley rats exposed to a mixture of aryl hydrocarbon receptor agonists . Toxicol Sci 2005. ; 86 : 175 – 84 . [DOI] [PubMed] [Google Scholar]
- 34. Matsumoto Y, Hannigan B, Crews D . Embryonic PCB exposure alters phenotypic, genetic, and epigenetic profiles in turtle sex determination, a biomarker of environmental contamination . Endocrinology 2014. ; 155 : 4168 – 77 . [DOI] [PubMed] [Google Scholar]
- 35. Walker DM, Goetz BM, Gore AC . Dynamic postnatal developmental and sex-specific neuroendocrine effects of prenatal polychlorinated biphenyls in rats . Mol Endocrinol 2014. ; 28 : 99 – 115 . [DOI] [PMC free article] [PubMed] [Google Scholar]
- 36. Itoh H, Iwasaki M, Kasuga Y, et al. . Association between serum organochlorines and global methylation level of leukocyte DNA among Japanese women: a cross-sectional study . Sci Total Environ 2014. ; 490 : 603 – 9 . [DOI] [PubMed] [Google Scholar]
- 37. Kim KY, Kim DS, Lee SK, et al. . Association of low-dose exposure to persistent organic pollutants with global DNA hypomethylation in healthy Koreans . Environ Health Perspect 2010. ; 118 : 370 – 4 . [DOI] [PMC free article] [PubMed] [Google Scholar]
- 38. Rusiecki JA, Baccarelli A, Bollati V, et al. . Global DNA hypomethylation is associated with high serum-persistent organic pollutants in Greenlandic Inuit . Environ Health Perspect 2008. ; 116 : 1547 – 52 . [DOI] [PMC free article] [PubMed] [Google Scholar]
- 39. Lind L, Penell J, Luttropp K, et al. . Global DNA hypermethylation is associated with high serum levels of persistent organic pollutants in an elderly population . Environ Int 2013. ; 59 : 456 – 61 . [DOI] [PubMed] [Google Scholar]
- 40. Mitchell MM, Woods R, Chi LH, et al. . Levels of select PCB and PBDE congeners in human postmortem brain reveal possible environmental involvement in 15q11-q13 duplication autism spectrum disorder . Environ Mol Mutagen 2012. ; 53 : 589 – 98 . [DOI] [PMC free article] [PubMed] [Google Scholar]
- 41. Senut MC, Sen A, Cingolani P, et al. . Lead exposure disrupts global DNA methylation in human embryonic stem cells and alters their neuronal differentiation . Toxicol Sci 2014. ; 139 : 142 – 61 . [DOI] [PMC free article] [PubMed] [Google Scholar]
- 42. Schneider JS, Kidd SK, Anderson DW . Influence of developmental lead exposure on expression of DNA methyltransferases and methyl cytosine-binding proteins in hippocampus . Toxicol Lett 2013. ; 217 : 75 – 81 . [DOI] [PMC free article] [PubMed] [Google Scholar]
- 43. Sanchez-Martin FJ, Lindquist DM, Landero-Figueroa J, et al. . Sex- and tissue-specific methylome changes in brains of mice perinatally exposed to lead . Neurotoxicology 2015. ; 46 : 92 – 100 . [DOI] [PMC free article] [PubMed] [Google Scholar]
- 44. Wright RO, Schwartz J, Wright RJ, et al. . Biomarkers of lead exposure and DNA methylation within retrotransposons . Environ Health Perspect 2010. ; 118 : 790 – 5 . [DOI] [PMC free article] [PubMed] [Google Scholar]
- 45. Pilsner JR, Hu H, Ettinger A, et al. . Influence of prenatal lead exposure on genomic methylation of cord blood DNA . Environ Health Perspect 2009. ; 117 : 1466 – 71 . [DOI] [PMC free article] [PubMed] [Google Scholar]
- 46. Kovatsi L, Georgiou E, Ioannou A, et al. . p16 promoter methylation in Pb2+-exposed individuals . Clin Toxicol 2010. ; 48 : 124 – 8 . [DOI] [PubMed] [Google Scholar]
- 47. Warita K, Mitsuhashi T, Ohta K, et al. . Gene expression of epigenetic regulatory factors related to primary silencing mechanism is less susceptible to lower doses of bisphenol A in embryonic hypothalamic cells . J Toxicol Sci 2013. ; 38 : 285 – 9 . [DOI] [PubMed] [Google Scholar]
- 48. Wolstenholme JT, Taylor JA, Shetty SR, et al. . Gestational exposure to low dose bisphenol A alters social behavior in juvenile mice . PLoS One 2011. ; 6 : e25448 . [DOI] [PMC free article] [PubMed] [Google Scholar]
- 49. Kundakovic M, Gudsnuk K, Franks B, et al. . Sex-specific epigenetic disruption and behavioral changes following low-dose in utero bisphenol A exposure . Proc Natl Acad Sci U S A 2013. ; 110 : 9956 – 61 . [DOI] [PMC free article] [PubMed] [Google Scholar]
- 50. Kundakovic M, Gudsnuk K, Herbstman JB, et al. . DNA methylation of BDNF as a biomarker of early-life adversity . Proc Natl Acad Sci U S A 2014. ; 112 ( 22 ): 6807 – 13 . [DOI] [PMC free article] [PubMed] [Google Scholar]
- 51. Nahar MS, Liao C, Kannan K, et al. . In utero bisphenol A concentration, metabolism, and global DNA methylation across matched placenta, kidney, and liver in the human fetus . Chemosphere 2015. ; 124 : 54 – 60 . [DOI] [PMC free article] [PubMed] [Google Scholar]
- 52. Winneke G, Brockhaus A, Collet W, et al. . Modulation of lead-induced performance deficit in children by varying signal rate in a serial choice reaction task . Neurotoxicol Teratol 1989. ; 11 : 587 – 92 . [DOI] [PubMed] [Google Scholar]
- 53. Walkowiak J, Altmann L, Kramer U, et al. . Cognitive and sensorimotor functions in 6-year-old children in relation to lead and mercury levels: adjustment for intelligence and contrast sensitivity in computerized testing . Neurotoxicol Teratol 1998. ; 20 : 511 – 21 . [DOI] [PubMed] [Google Scholar]
- 54. Tian Y, Green PG, Stamova B, et al. . Correlations of gene expression with blood lead levels in children with autism compared to typically developing controls . Neurotox Res 2011. ; 19 : 1 – 13 . [DOI] [PMC free article] [PubMed] [Google Scholar]
- 55. Volk HE, Hertz-Picciotto I, Delwiche L, et al. . Residential proximity to freeways and autism in the CHARGE study . Environ Health Perspect 2011. ; 119 : 873 – 7 . [DOI] [PMC free article] [PubMed] [Google Scholar]
- 56. Winneke G . Developmental aspects of environmental neurotoxicology: lessons from lead and polychlorinated biphenyls . J Neurol Sci 2011. ; 308 : 9 – 15 . [DOI] [PubMed] [Google Scholar]
- 57. Polanska K, Jurewicz J, Hanke W . Exposure to environmental and lifestyle factors and attention-deficit / hyperactivity disorder in children - a review of epidemiological studies . Int J Occup Med Environ Health 2012. ; 25 : 330 – 55 . [DOI] [PubMed] [Google Scholar]
- 58. Thompson MR, Boekelheide K . Multiple environmental chemical exposures to lead, mercury and polychlorinated biphenyls among childbearing-aged women (NHANES 1999-2004): body burden and risk factors . Environ Res 2013. ; 121 : 23 – 30 . [DOI] [PMC free article] [PubMed] [Google Scholar]
- 59. Kalkbrenner AE, Schmidt RJ, Penlesky AC . Environmental chemical exposures and autism spectrum disorders: a review of the epidemiological evidence . Curr Probl Pediatr Adolesc Health Care 2014. ; 44 : 277 – 318 . [DOI] [PMC free article] [PubMed] [Google Scholar]
- 60. Shelton JF, Geraghty EM, Tancredi DJ, et al. . Neurodevelopmental disorders and prenatal residential proximity to agricultural pesticides: the CHARGE study . Environ Health Perspect 2014. ; 122 : 1103 – 9 . [DOI] [PMC free article] [PubMed] [Google Scholar]
- 61. Yassa HA . Autism: a form of lead and mercury toxicity . Environ Toxicol Pharmacol 2014. ; 38 : 1016 – 24 . [DOI] [PubMed] [Google Scholar]
- 62. Yoshimasu K, Kiyohara C, Takemura S, et al. . A meta-analysis of the evidence on the impact of prenatal and early infancy exposures to mercury on autism and attention deficit/hyperactivity disorder in the childhood . Neurotoxicology 2014. ; 44 : 121 – 31 . [DOI] [PubMed] [Google Scholar]
- 63. Hutnick LK, Golshani P, Namihira M, et al. . DNA hypomethylation restricted to the murine forebrain induces cortical degeneration and impairs postnatal neuronal maturation . Hum Mol Genet 2009. ; 18 : 2875 – 88 . [DOI] [PMC free article] [PubMed] [Google Scholar]
- 64. Feng S, Cokus SJ, Zhang X, et al. . Conservation and divergence of methylation patterning in plants and animals . Proc Natl Acad Sci U S A 2010a. ; 107 : 8689 – 94 . [DOI] [PMC free article] [PubMed] [Google Scholar]
- 65. LaSalle JM . Epigenomic strategies at the interface of genetic and environmental risk factors for autism . J Hum Genet 2013. ; 58 : 396 – 401 . [DOI] [PMC free article] [PubMed] [Google Scholar]
- 66. Millan MJ . An epigenetic framework for neurodevelopmental disorders: from pathogenesis to potential therapy . Neuropharmacology 2013. ; 68 : 2 – 82 . [DOI] [PubMed] [Google Scholar]
- 67. Barres R, Osler ME, Yan J, et al. . Non-CpG methylation of the PGC-1alpha promoter through DNMT3B controls mitochondrial density . Cell Metab 2009. ; 10 : 189 – 98 . [DOI] [PubMed] [Google Scholar]
- 68. Arand J, Spieler D, Karius T, et al. . In vivo control of CpG and non-CpG DNA methylation by DNA methyltransferases . PLoS Genet 2012. ; 8 : e1002750 . [DOI] [PMC free article] [PubMed] [Google Scholar]
- 69. Jaenisch R, Bird A . Epigenetic regulation of gene expression: how the genome integrates intrinsic and environmental signals . Nat Genet 2003. ; 33Suppl : 245 – 54 . [DOI] [PubMed] [Google Scholar]
- 70. Li E, Bestor TH, Jaenisch R . Targeted mutation of the DNA methyltransferase gene results in embryonic lethality . Cell 1992. ; 69 : 915 – 26 . [DOI] [PubMed] [Google Scholar]
- 71. Lei H, Oh SP, Okano M, et al. . De novo DNA cytosine methyltransferase activities in mouse embryonic stem cells . Development 1996. ; 122 : 3195 – 205 . [DOI] [PubMed] [Google Scholar]
- 72. Okano M, Bell DW, Haber DA, et al. . DNA methyltransferases Dnmt3a and Dnmt3b are essential for de novo methylation and mammalian development . Cell 1999. ; 99 : 247 – 57 . [DOI] [PubMed] [Google Scholar]
- 73. Feng J, Fouse S, Fan G . Epigenetic regulation of neural gene expression and neuronal function . Pediatr Res 2007. ; 61 : 58R – 63R . [DOI] [PubMed] [Google Scholar]
- 74. Feng J, Fan G . The role of DNA methylation in the central nervous system and neuropsychiatric disorders . Int Rev Neurobiol 2009. ; 89 : 67 – 84 . [DOI] [PubMed] [Google Scholar]
- 75. Feng J, Zhou Y, Campbell SL, et al. . Dnmt1 and Dnmt3a maintain DNA methylation and regulate synaptic function in adult forebrain neurons . Nat Neurosci 2010b. ; 13 : 423 – 30 . [DOI] [PMC free article] [PubMed] [Google Scholar]
- 76. Meadows JP, Guzman-Karlsson MC, Phillips S, et al. . DNA methylation regulates neuronal glutamatergic synaptic scaling . Sci Signal 2015. ; 8 : ra61 . [DOI] [PMC free article] [PubMed] [Google Scholar]
- 77. Bourgeron T . A synaptic trek to autism . Curr Opin Neurobiol 2009. ; 19 : 231 – 4 . [DOI] [PubMed] [Google Scholar]
- 78. Ebert DH, Greenberg ME . Activity-dependent neuronal signalling and autism spectrum disorder . Nature 2013. ; 493 : 327 – 37 . [DOI] [PMC free article] [PubMed] [Google Scholar]
- 79. Monk M, Boubelik M, Lehnert S . Temporal and regional changes in DNA methylation in the embryonic, extraembryonic and germ cell lineages during mouse embryo development . Development 1987. ; 99 : 371 – 82 . [DOI] [PubMed] [Google Scholar]
- 80. Santos F, Hendrich B, Reik W, et al. . Dynamic reprogramming of DNA methylation in the early mouse embryo . Dev Biol 2002. ; 241 : 172 – 82 . [DOI] [PubMed] [Google Scholar]
- 81. Bhattacharya SK, Ramchandani S, Cervoni N, et al. . A mammalian protein with specific demethylase activity for mCpG DNA . Nature 1999. ; 397 : 579 – 83 . [DOI] [PubMed] [Google Scholar]
- 82. Hamm S, Just G, Lacoste N, et al. . On the mechanism of demethylation of 5-methylcytosine in DNA . Bioorg Med Chem Lett 2008. ; 18 : 1046 – 9 . [DOI] [PubMed] [Google Scholar]
- 83. Chen CC, Wang KY, Shen CK . DNA 5-methylcytosine demethylation activities of the mammalian DNA methyltransferases . J Biol Chem 2013. ; 288 : 9084 – 91 . [DOI] [PMC free article] [PubMed] [Google Scholar]
- 84. Ito S, D’Alessio AC, Taranova OV, et al. . Role of Tet proteins in 5mC to 5hmC conversion, ES-cell self-renewal and inner cell mass specification . Nature 2010. ; 466 : 1129 – 33 . [DOI] [PMC free article] [PubMed] [Google Scholar]
- 85. Tan L, Shi YG . Tet family proteins and 5-hydroxymethylcytosine in development and disease . Development 2012. ; 139 : 1895 – 902 . [DOI] [PMC free article] [PubMed] [Google Scholar]
- 86. Tahiliani M, Koh KP, Shen Y, et al. . Conversion of 5-methylcytosine to 5-hydroxymethylcytosine in mammalian DNA by MLL partner TET1 . Science 2009. ; 324 : 930 – 5 . [DOI] [PMC free article] [PubMed] [Google Scholar]
- 87. Inoue A, Zhang Y . Replication-dependent loss of 5-hydroxymethylcytosine in mouse preimplantation embryos . Science 2011. ; 334 : 194 . [DOI] [PMC free article] [PubMed] [Google Scholar]
- 88. Iqbal K, Jin SG, Pfeifer GP, et al. . Reprogramming of the paternal genome upon fertilization involves genome-wide oxidation of 5-methylcytosine . Proc Natl Acad Sci U S A 2011. ; 108 : 3642 – 7 . [DOI] [PMC free article] [PubMed] [Google Scholar]
- 89. Kaas GA, Zhong C, Eason DE, et al. . TET1 controls CNS 5-methylcytosine hydroxylation, active DNA demethylation, gene transcription, and memory formation . Neuron 2013. ; 79 : 1086 – 93 . [DOI] [PMC free article] [PubMed] [Google Scholar]
- 90. Li X, Wei W, Zhao QY, et al. . Neocortical Tet3-mediated accumulation of 5-hydroxymethylcytosine promotes rapid behavioral adaptation . Proc Natl Acad Sci U S A 2014. ; 111 : 7120 – 5 . [DOI] [PMC free article] [PubMed] [Google Scholar]
- 91. Kinde B, Gabel HW, Gilbert CS, et al. . Reading the unique DNA methylation landscape of the brain: non-CpG methylation, hydroxymethylation, and MeCP2 . Proc Natl Acad Sci U S A 2015. ; 112 ( 22 ): 6800 – 6 . [DOI] [PMC free article] [PubMed] [Google Scholar]
- 92. James SJ, Shpyleva S, Melnyk S, et al. . Elevated 5-hydroxymethylcytosine in the Engrailed-2 (EN-2) promoter is associated with increased gene expression and decreased MeCP2 binding in autism cerebellum . Transl Psychiatry 2014. ; 4 : e460 . [DOI] [PMC free article] [PubMed] [Google Scholar]
- 93. Hu D, Hornbuckle KC . Inadvertent polychlorinated biphenyls in commercial paint pigments . Environ Sci Technol 2010. ; 44 : 2822 – 7 . [DOI] [PMC free article] [PubMed] [Google Scholar]
- 94. Thomas K , Xue J, Williams R, Jones P, Whitaker D . Polychlorinated biphenyls (PCBs) in school buildings: sources, environmental levels, and exposures . EPA/600/R-12/051. Washington, DC: U.S. EPA. http://www.epa.gov/pcbsincaulk/pdf/pcb_EPA600R12051_final.pdf (10 November 2015, date last accessed) . [Google Scholar]
- 95. Seegal RF . Epidemiological and laboratory evidence of PCB-induced neurotoxicity . Crit Rev Toxicol 1996. ; 26 : 709 – 37 . [DOI] [PubMed] [Google Scholar]
- 96. Schantz SL, Widholm JJ, Rice DC . Effects of PCB exposure on neuropsychological function in children . Environ Health Perspect 2003. ; 111 : 357 – 576 . [DOI] [PMC free article] [PubMed] [Google Scholar]
- 97. Carpenter DO . Polychlorinated biphenyls (PCBs): routes of exposure and effects on human health . Rev Environ Health 2006. ; 21 : 1 – 23 . [DOI] [PubMed] [Google Scholar]
- 98. Korrick SA, Sagiv SK . Polychlorinated biphenyls, organochlorine pesticides and neurodevelopment . Curr Opin Pediatr 2008. ; 20 : 198 – 204 . [DOI] [PMC free article] [PubMed] [Google Scholar]
- 99. Nowack N, Wittsiepe J, Kasper-Sonnenberg M, et al. . Influence of low-level prenatal exposure to PCDD/Fs and PCBs on empathizing, systemizing and autistic traits: results from the Duisburg birth cohort study . PLoS One 2015. ; 10 : e0129906 . [DOI] [PMC free article] [PubMed] [Google Scholar]
- 100. Safe SH . Polychlorinated biphenyls (PCBs): environmental impact, biochemical and toxic responses, and implications for risk assessment . Crit Rev Toxicol 1994. ; 24 : 87 – 149 . [DOI] [PubMed] [Google Scholar]
- 101. Schantz SL, Gardiner JC, Aguiar A, et al. . Contaminant profiles in Southeast Asian immigrants consuming fish from polluted waters in northeastern Wisconsin . Environ Res 2010. ; 110 : 33 – 9 . [DOI] [PMC free article] [PubMed] [Google Scholar]
- 102. Martinez A, Hornbuckle KC . Record of PCB congeners, sorbents and potential toxicity in core samples in Indiana Harbor and Ship Canal . Chemosphere 2011. ; 85 : 542 – 7 . [DOI] [PMC free article] [PubMed] [Google Scholar]
- 103. Marek RF, Thorne PS, Wang K, et al. . PCBs and OH-PCBs in serum from children and mothers in urban and rural U.S . communities . Environ Sci Technol 2013. ; 47 : 3353 – 61 . [DOI] [PMC free article] [PubMed] [Google Scholar]
- 104. Bal-Price A, Crofton KM, Sachana M, et al. . Putative adverse outcome pathways relevant to neurotoxicity . Crit Rev Toxicol 2015. ; 45 : 83 – 91 . [DOI] [PMC free article] [PubMed] [Google Scholar]
- 105. Pessah IN, Cherednichenko G, Lein PJ . Minding the calcium store: ryanodine receptor activation as a convergent mechanism of PCB toxicity . Pharmacol Ther 2010. ; 125 : 260 – 85 . [DOI] [PMC free article] [PubMed] [Google Scholar]
- 106. Jolous-Jamshidi B, Cromwell HC, McFarland AM, et al. . Perinatal exposure to polychlorinated biphenyls alters social behaviors in rats . Toxicol Lett 2010. ; 199 : 136 – 43 . [DOI] [PMC free article] [PubMed] [Google Scholar]
- 107. Wayman GA, Yang D, Bose DD, et al. . PCB-95 promotes dendritic growth via ryanodine receptor-dependent mechanisms . Environ Health Perspect 2012. ; 120 : 997 – 1002 . [DOI] [PMC free article] [PubMed] [Google Scholar]
- 108. Lesiak A, Zhu M, Chen H, et al. . The environmental neurotoxicant PCB 95 promotes synaptogenesis via ryanodine receptor-dependent miR132 upregulation . J Neurosci 2014. ; 34 : 717 – 25 . [DOI] [PMC free article] [PubMed] [Google Scholar]
- 109. Irwin SA, Idupulapati PB M, et al. . Abnormal dendritic spine characteristics in the temporal and visual cortices of patients with fragile-X syndrome: a quantitiative examination . Am J Med Genet 2001. ; 98 : 161 – 7 . [DOI] [PubMed] [Google Scholar]
- 110. Hutsler JJ ZH . Increased dendritic spine densities on cortical projection neurons in autism spectrum disorders . Brain Res 2010. ; 1309 : 83 – 94 . [DOI] [PubMed] [Google Scholar]
- 111. Williams GR . Neurodevelopmental and neurophysiological actions of thyroid hormone . J Neuroendocrinol 2008. ; 20 : 784 – 94 . [DOI] [PubMed] [Google Scholar]
- 112. Baron-Cohen S, Lombardo MV, Auyeung B, et al. . Why are autism spectrum conditions more prevalent in males? PLoS Biol 2011. ; 9 : e1001081 . [DOI] [PMC free article] [PubMed] [Google Scholar]
- 113. Weiss B . The intersection of neurotoxicology and endocrine disruption . Neurotoxicology 2012. ; 33 : 1410 – 9 . [DOI] [PMC free article] [PubMed] [Google Scholar]
- 114. Hansen LG . Stepping backward to improve assessment of PCB congener toxicities . Environ Health Perspect 1998. ; 106Suppl 1 : 171 – 89 . [DOI] [PMC free article] [PubMed] [Google Scholar]
- 115. Papoutsis AJ, Selmin OI, Borg JL, et al. . Gestational exposure to the AhR agonist 2,3,7,8-tetrachlorodibenzo-p-dioxin induces BRCA-1 promoter hypermethylation and reduces BRCA-1 expression in mammary tissue of rat offspring: preventive effects of resveratrol . Mol Carcinog 2015. ; 54 : 261 – 9 . [DOI] [PubMed] [Google Scholar]
- 116. Park SY, Kim KS, Lee YM, et al. . Persistent organic pollutants and promoter hypermethylation of the O-methylguanine-DNA methyltransferase gene . Biomarkers 2015. ; 20 ( 2 ): 136 – 42 . [DOI] [PubMed] [Google Scholar]
- 117. Yang D, Kim KH, Phimister A, et al. . Developmental exposure to polychlorinated biphenyls interferes with experience- dependent dendritic plasticity and ryanodine receptor expression in weanling rats . Environ Health Perspect 2009. ; 117 : 426 – 35 . [DOI] [PMC free article] [PubMed] [Google Scholar]
- 118. CDC . Blood lead levels in children aged 1–5 years - United States, 1999–2010 . Morb Mortal Wkly Rep 2013. ; 62 : 245 – 8 . [PMC free article] [PubMed] [Google Scholar]
- 119. Eubig PA, Aguiar A, Schantz SL . Lead and PCBs as risk factors for attention deficit/hyperactivity disorder . Environ Health Perspect 2010. ; 118 : 1654 – 67 . [DOI] [PMC free article] [PubMed] [Google Scholar]
- 120. Chang J, Kueon C, Kim J . Influence of lead on repetitive behavior and dopamine metabolism in a mouse model of iron overload . Toxicol Res 2014. ; 30 : 267 – 76 . [DOI] [PMC free article] [PubMed] [Google Scholar]
- 121. Bihaqi SW, Huang H, Wu J, et al. . Infant exposure to lead (Pb) and epigenetic modifications in the aging primate brain: implications for Alzheimer’s disease . J Alzheimers Dis 2011. ; 27 : 819 – 33 . [DOI] [PubMed] [Google Scholar]
- 122. Dosunmu R, Alashwal H, Zawia NH . Genome-wide expression and methylation profiling in the aged rodent brain due to early-life Pb exposure and its relevance to aging . Mech Ageing Dev 2012. ; 133 : 435 – 43 . [DOI] [PMC free article] [PubMed] [Google Scholar]
- 123. Penzes P, Cahill ME, Jones KA, et al. . Dendritic spine pathology in neuropsychiatric disorders . Nat Neurosci 2011. ; 14 : 285 – 93 . [DOI] [PMC free article] [PubMed] [Google Scholar]
- 124. Hanna CW, Bloom MS, Robinson WP, et al. . DNA methylation changes in whole blood is associated with exposure to the environmental contaminants, mercury, lead, cadmium and bisphenol A, in women undergoing ovarian stimulation for IVF . Hum Reprod 2012. ; 27 : 1401 – 10 . [DOI] [PMC free article] [PubMed] [Google Scholar]
- 125. Arendt T, Holzer M, Gartner U . Neuronal expression of cycline dependent kinase inhibitors of the INK4 family in Alzheimer’s disease . J Neural Transm 1998. ; 105 : 949 – 60 . [DOI] [PubMed] [Google Scholar]
- 126. Healy BF, English KR, Jagals P, et al. . Bisphenol A exposure pathways in early childhood: reviewing the need for improved risk assessment models . J Expo Sci Environ Epidemiol 2015. ; 25 ( 6 ): 544 – 56 . [DOI] [PubMed] [Google Scholar]
- 127. Calafat AM, Ye X, Wong LY, et al. . Exposure of the U.S. population to bisphenol A and 4-tertiary-octylphenol: 2003–2004 . Environ Health Perspect 2008. ; 116 : 39 – 44 . [DOI] [PMC free article] [PubMed] [Google Scholar]
- 128. Richter CA, Taylor JA, Ruhlen RL, et al. . Estradiol and bisphenol A stimulate androgen receptor and estrogen receptor gene expression in fetal mouse prostate mesenchyme cells . Environ Health Perspect 2007. ; 115 : 902 – 8 . [DOI] [PMC free article] [PubMed] [Google Scholar]
- 129. Newbold RR, Jefferson WN, Padilla-Banks E . Prenatal exposure to bisphenol a at environmentally relevant doses adversely affects the murine female reproductive tract later in life . Environ Health Perspect 2009. ; 117 : 879 – 85 . [DOI] [PMC free article] [PubMed] [Google Scholar]
- 130. Tang WY, Morey LM, Cheung YY, et al. . Neonatal exposure to estradiol/bisphenol A alters promoter methylation and expression of Nsbp1 and Hpcal1 genes and transcriptional programs of Dnmt3a/b and Mbd2/4 in the rat prostate gland throughout life . Endocrinology 2012. ; 153 : 42 – 55 . [DOI] [PMC free article] [PubMed] [Google Scholar]
- 131. Peretz J, Vrooman L, Ricke WA, et al. . Bisphenol a and reproductive health: update of experimental and human evidence, 2007-2013 . Environ Health Perspect 2014. ; 122 : 775 – 86 . [DOI] [PMC free article] [PubMed] [Google Scholar]
- 132. Hajszan T, Leranth C . Bisphenol A interferes with synaptic remodeling . Front Neuroendocrinol 2010. ; 31 : 519 – 30 . [DOI] [PMC free article] [PubMed] [Google Scholar]
- 133. Dessi-Fulgheri F, Porrini S, Farabollini F . Effects of perinatal exposure to bisphenol A on play behavior of female and male juvenile rats . Environ Health Perspect 2002. ; 110Suppl 3 : 403 – 7 . [DOI] [PMC free article] [PubMed] [Google Scholar]
- 134. Porrini S, Belloni V, Della Seta D, et al. . Early exposure to a low dose of bisphenol A affects socio-sexual behavior of juvenile female rats . Brain Res Bull 2005. ; 65 : 261 – 6 . [DOI] [PubMed] [Google Scholar]
- 135. Tian YH, Baek JH, Lee SY, et al. . Prenatal and postnatal exposure to bisphenol a induces anxiolytic behaviors and cognitive deficits in mice . Synapse 2010. ; 64 : 432 – 9 . [DOI] [PubMed] [Google Scholar]
- 136. Perera F, Vishnevetsky J, Herbstman JB, et al. . Prenatal bisphenol a exposure and child behavior in an inner-city cohort . Environ Health Perspect 2012. ; 120 : 1190 – 4 . [DOI] [PMC free article] [PubMed] [Google Scholar]
- 137. Stein TP, Schluter MD, Steer RA, et al. . Bisphenol A exposure in children with autism spectrum disorders . Autism Res 2015. ; 8 ( 3 ): 272 – 83 . [DOI] [PMC free article] [PubMed] [Google Scholar]
- 138. Ho SM, Tang WY, Belmonte de Frausto J, et al. . Developmental exposure to estradiol and bisphenol A increases susceptibility to prostate carcinogenesis and epigenetically regulates phosphodiesterase type 4 variant 4 . Cancer Res 2006. ; 66 : 5624 – 32 . [DOI] [PMC free article] [PubMed] [Google Scholar]
- 139. Yaoi T, Itoh K, Nakamura K, et al. . Genome-wide analysis of epigenomic alterations in fetal mouse forebrain after exposure to low doses of bisphenol A . Biochem Biophys Res Commun 2008. ; 376 : 563 – 7 . [DOI] [PubMed] [Google Scholar]
- 140. Patel BB, Raad M, Sebag IA, et al. . Lifelong exposure to bisphenol a alters cardiac structure/function, protein expression, and DNA methylation in adult mice . Toxicol Sci 2013. ; 133 : 174 – 85 . [DOI] [PubMed] [Google Scholar]
- 141. Dhimolea E, Wadia PR, Murray TJ, et al. . Prenatal exposure to BPA alters the epigenome of the rat mammary gland and increases the propensity to neoplastic development . PLoS One 2014. ; 9 : e99800 . [DOI] [PMC free article] [PubMed] [Google Scholar]
- 142. Yokosuka M, Ohtani-Kaneko R, Yamashita K, et al. . Estrogen and environmental estrogenic chemicals exert developmental effects on rat hypothalamic neurons and glias . Toxicol in vitro 2008. ; 22 : 1 – 9 . [DOI] [PubMed] [Google Scholar]
- 143. Anway MD, Skinner MK . Epigenetic transgenerational actions of endocrine disruptors . Endocrinology 2006. ; 147 : S43 – 9 . [DOI] [PubMed] [Google Scholar]
- 144. Crews D, Gore AC, Hsu TS, et al. . Transgenerational epigenetic imprints on mate preference . Proc Natl Acad Sci U S A 2007. ; 104 : 5942 – 6 . [DOI] [PMC free article] [PubMed] [Google Scholar]
- 145. DiBenedictis BT, Ingraham KL, Baum MJ, et al. . Disruption of urinary odor preference and lordosis behavior in female mice given lesions of the medial amygdala . Physiol Behav 2012. ; 105 : 554 – 9 . [DOI] [PMC free article] [PubMed] [Google Scholar]
- 146. Skinner MK, Anway MD, Savenkova MI, et al. . Transgenerational epigenetic programming of the brain transcriptome and anxiety behavior . PLoS One 2008. ; 3 : e3745 . [DOI] [PMC free article] [PubMed] [Google Scholar]
- 147. Wolstenholme JT, Goldsby JA, Rissman EF . Transgenerational effects of prenatal bisphenol A on social recognition . Horm Behav 2013. ; 64 : 833 – 9 . [DOI] [PMC free article] [PubMed] [Google Scholar]
- 148. Wolstenholme JT, Edwards M, Shetty SR, et al. . Gestational exposure to bisphenol a produces transgenerational changes in behaviors and gene expression . Endocrinology 2012. ; 153 : 3828 – 38 . [DOI] [PMC free article] [PubMed] [Google Scholar]
- 149. Jang YJ, Park HR, Kim TH, et al. . High dose bisphenol A impairs hippocampal neurogenesis in female mice across generations . Toxicology 2012. ; 296 : 73 – 82 . [DOI] [PubMed] [Google Scholar]
- 150. Amir RE, Van den Veyver IB, Wan M, et al. . Rett syndrome is caused by mutations in X-linked MECP2, encoding methyl-CpG-binding protein 2 . Nat Genet 1999. ; 23 : 185 – 8 . [DOI] [PubMed] [Google Scholar]
- 151. Grafodatskaya D, Chung B, Szatmari P, et al. . Autism spectrum disorders and epigenetics . J Am Acad Child Adolesc Psychiatry 2010. ; 49 : 794 – 809 . [DOI] [PubMed] [Google Scholar]
- 152. Shpyleva S, Ivanovsky S, de Conti A, et al. . Cerebellar oxidative DNA damage and altered DNA methylation in the BTBR T+tf/J mouse model of autism and similarities with human post mortem cerebellum . PLoS One 2014. ; 9 : e113712 . [DOI] [PMC free article] [PubMed] [Google Scholar]
- 153. Schaevitz LR, Berger-Sweeney JE . Gene-environment interactions and epigenetic pathways in autism: the importance of one-carbon metabolism . ILAR J 2012. ; 53 : 322 – 40 . [DOI] [PubMed] [Google Scholar]
- 154. Mostafavi Abdolmaleky H . Horizons of psychiatric genetics and epigenetics: where are we and where are we heading? Iran J Psychiatry Behav Sci 2014. ; 8 : 1 – 10 . [PMC free article] [PubMed] [Google Scholar]
- 155. Zhubi A, Cook EH, Guidotti A, et al. . Epigenetic mechanisms in autism spectrum disorder . Int Rev Neurobiol 2014a. ; 115 : 203 – 44 . [DOI] [PubMed] [Google Scholar]
- 156. Deidda G, Bozarth IF, Cancedda L . Modulation of GABAergic transmission in development and neurodevelopmental disorders: investigating physiology and pathology to gain therapeutic perspectives . Front Cell Neurosci 2014. ; 8 : 119 . [DOI] [PMC free article] [PubMed] [Google Scholar]
- 157. D’Arcangelo G, Curran T . Reeler: new tales on an old mutant mouse . Bioessays 1998. ; 20 : 235 – 44 . [DOI] [PubMed] [Google Scholar]
- 158. Zhubi A, Chen Y, Dong E, et al. . Increased binding of MeCP2 to the GAD1 and RELN promoters may be mediated by an enrichment of 5-hmC in autism spectrum disorder (ASD) cerebellum . Transl Psychiatry 2014b. ; 4 : e349 . [DOI] [PMC free article] [PubMed] [Google Scholar]
- 159. Zoghbi HY, Bear MF . Synaptic dysfunction in neurodevelopmental disorders associated with autism and intellectual disabilities . Cold Spring Harb Perspect Biol 2012. , 10.1101/cshperspect.a009886 . [DOI] [PMC free article] [PubMed] [Google Scholar]
- 160. Jiang YH, Ehlers MD . Modeling autism by SHANK gene mutations in mice . Neuron 2013. ; 78 : 8 – 27 . [DOI] [PMC free article] [PubMed] [Google Scholar]
- 161. Beri S, Tonna N, Menozzi G, et al. . DNA methylation regulates tissue-specific expression of Shank3 . J Neurochem 2007. ; 101 : 1380 – 91 . [DOI] [PubMed] [Google Scholar]
- 162. Zhu L, Wang X, Li XL, et al. . Epigenetic dysregulation of SHANK3 in brain tissues from individuals with autism spectrum disorders . Hum Mol Genet 2014. ; 23 : 1563 – 78 . [DOI] [PMC free article] [PubMed] [Google Scholar]
- 163. Chapleau CA, Larimore JL, Theibert A, et al. . Modulation of dendritic spine development and plasticity by BDNF and vesicular trafficking: fundamental roles in neurodevelopmental disorders associated with mental retardation and autism . J Neurodev Disord 2009. ; 1 : 185 – 96 . [DOI] [PMC free article] [PubMed] [Google Scholar]
- 164. Abdallah MW, Mortensen EL, Greaves-Lord K, et al. . Neonatal levels of neurotrophic factors and risk of autism spectrum disorders . Acta Psychiatr Scand 2013. ; 128 : 61 – 9 . [DOI] [PubMed] [Google Scholar]
- 165. Bryn V, Halvorsen B, Ueland T, et al. . Brain derived neurotrophic factor (BDNF) and autism spectrum disorders (ASD) in childhood . Eur J Paediatr Neurol 2015. ; 19 : 411 – 4 . [DOI] [PubMed] [Google Scholar]
- 166. Wang M, Chen H, Yu T, et al. . Increased serum levels of brain-derived neurotrophic factor in autism spectrum disorder . Neuroreport 2015. ; 26 : 638 – 41 . [DOI] [PubMed] [Google Scholar]
- 167. Ikegame T, Bundo M, Murata Y, et al. . DNA methylation of the BDNF gene and its relevance to psychiatric disorders . J Hum Genet 2013. ; 58 : 434 – 8 . [DOI] [PubMed] [Google Scholar]
- 168. Karpova NN . Role of BDNF epigenetics in activity-dependent neuronal plasticity . Neuropharmacology 2014. ; 76Pt C:709-18 . [DOI] [PubMed] [Google Scholar]
- 169. Fuchikami M, Morinobu S, Segawa M, et al. . DNA methylation profiles of the brain-derived neurotrophic factor (BDNF) gene as a potent diagnostic biomarker in major depression . PLoS One 2011. ; 6 : e23881 . [DOI] [PMC free article] [PubMed] [Google Scholar]
- 170. D’Addario C, Dell’Osso B, Palazzo MC, et al. . Selective DNA methylation of BDNF promoter in bipolar disorder: differences among patients with BDI and BDII . Neuropsychopharmacology 2012. ; 37 : 1647 – 55 . [DOI] [PMC free article] [PubMed] [Google Scholar]
- 171. James SJ, Shpyleva S, Melnyk S, et al. . Complex epigenetic regulation of engrailed-2 (EN-2) homeobox gene in the autism cerebellum . Transl Psychiatry 2013. ; 3 : e232 . [DOI] [PMC free article] [PubMed] [Google Scholar]
- 172. Valinluck V, Tsai HH, Rogstad DK, et al. . Oxidative damage to methyl-CpG sequences inhibits the binding of the methyl-CpG binding domain (MBD) of methyl-CpG binding protein 2 (MeCP2) . Nucleic Acids Res 2004. ; 32 : 4100 – 8 . [DOI] [PMC free article] [PubMed] [Google Scholar]
- 173. Nguyen A, Rauch TA, Pfeifer GP, et al. . Global methylation profiling of lymphoblastoid cell lines reveals epigenetic contributions to autism spectrum disorders and a novel autism candidate gene, RORA, whose protein product is reduced in autistic brain . FASEB J 2010. ; 24 : 3036 – 51 . [DOI] [PMC free article] [PubMed] [Google Scholar]
- 174. Kalandarishvili EL, Bukiia RD, Taktakishvili AD, et al. . [Postnatal neurogenesis and regenerative capabilities of the central nervous system (review)] . Georgian Med News 2012. ; 206 : 67 – 72 . [PubMed] [Google Scholar]
- 175. Pereira EF, Aracava Y, DeTolla LJ, Jr, et al. . Animal models that best reproduce the clinical manifestations of human intoxication with organophosphorus compounds . J Pharmacol Exp Ther 2014. ; 350 : 313 – 21 . [DOI] [PMC free article] [PubMed] [Google Scholar]
- 176. Schaevitz L, Berger-Sweeney J, Ricceri L . One-carbon metabolism in neurodevelopmental disorders: using broad-based nutraceutics to treat cognitive deficits in complex spectrum disorders . Neurosci Biobehav Rev 2014. ; 46 Pt 2:270-84 . [DOI] [PubMed] [Google Scholar]
