Abstract
Prenatal exposure to the anti-epileptic, mood-stabilizing drug, valproic acid (VPA), increases the incidence of autism spectrum disorders (ASDs); in utero administration of VPA to pregnant rodents induces ASD-like behaviors such as repetitive, stereotyped activity and decreased socialization. In both cases males are more affected than females. We previously reported that VPA, administered to pregnant mice at gestational day 12.5, rapidly induces a transient, 6-fold increase in BDNF protein and mRNA in the fetal brain. Here we investigate sex differences in the induction of Bdnf expression by VPA as well as the underlying epigenetic mechanisms. We found no sex differences in the VPA stimulation of total brain Bdnf mRNA as indicated by probing for the BDNF protein coding sequence (exon 9); however, stimulation of individual transcripts containing two of the nine 5’-untranslated exons (5’UTEs) in Bdnf (exons 1 and 4) by VPA was greater in female fetal brains. These Bdnf transcripts have been associated with different cell types or subcellular compartments within neurons. Since VPA is a histone deacetylase inhibitor, covalent histone modifications at Bdnf 5’UTEs in the fetal brain were analyzed by chromatin immunoprecipitation. VPA increased acetylation of multiple H3 and H4 lysine residues in the vicinity of exons 1, 2, 4, and 6; minimal differences between the sexes were observed. H3 lysine 4 trimethylation (H3K4me3) at those exons was also stimulated by VPA, moreover, the VPA-induced increase in H3K4me3 at exons 1, 4, and 6 was significantly greater in females than in males; i.e., sexually dimorphic stimulation of H3K4me3 by VPA correlated with Bdnf transcripts containing exons 1 and 4, but not 6. Neither H3K27me3 nor cytosine methylation at any of the 117 CpGs in the vicinity of the transcription start sites of exons 1, 4 and 6 was affected by VPA. Thus, of the six epigenetic marks analyzed, only H3K4me3 can account for the sexually dimorphic expression of Bdnf transcripts induced by VPA in fetal brain. Preferential expression of exon 1- and exon 4-Bdnf transcripts in females may contribute to sex differences in ASDs by protecting females from adverse effects of genetic variants or environmental factors such as VPA on the developing brain.
Keywords: Autism, autism spectrum disorder (ASD), brain-derived neurotrophic factor (BDNF), DNA CpG methylation, female protective effect, gene transcription, histone modifications, sex-linked, RNA splicing, VPA
INTRODUCTION
Autism spectrum disorders (ASDs) are neurodevelopmental disorders of cognition and behavior that are four-times more prevalent in males than females. The cause of ASDs is unknown, as is the molecular basis for the male sex bias. Although diagnosis usually does not occur until the second year, recent evidence suggests that the disorder is caused by errors in fetal brain development occurring early in pregnancy [1–3]. Recent research has revealed a wide variety of genetic variants that are associated with ASDs and a few single-gene mutations with ASD co-morbidities [4,5]. In addition, in utero exposure to environmental factors such as pollutants, toxins, maternal infection and some drugs also increases the probability of an ASD diagnosis, particularly when the pregnant woman is exposed during the first trimester [6–8]. One such environmental factor is valproic acid (VPA), a commonly prescribed anti-epileptic and mood-stabilizing drug [9], in utero exposure to which increases the risk of ASDs from 0.5 – 1% in unexposed children up to about 10% [10–15]. The link between VPA exposure and ASDs has led to a widely-used rodent model: a single injection of VPA into pregnant mice or rats (typically at E12 – E13) leads to ASD-like behaviors in the offspring [16–18], including decreased social interactions and repetitive stereotyped behaviors. VPA also induced reductions in cortical thickness and dendritic branching and other anatomical defects similar to those seen in human ASDs [16,19–22]. Additionally, the rodent VPA model mimics the male sex bias in ASDs [23–25].
We previously found that administration of VPA at E12.5 induces a transient, 6-fold increase in Bdnf mRNA and BDNF protein expression in the fetal mouse brain [26]. The developing brain is highly sensitive to changes in this key neurotrophin due to its roles in regulating neurogenesis, neuronal differentiation and synapse formation [27]. Whether increased BDNF expression at this developmental stage is pathogenic or protective is not known. Bdnf transcription can be initiated from 9 different promoter regions [28], each controlling its own 5’-untranslated exon (5’UTE), which is spliced to a common protein coding sequence (exon 9; Ex9) during transcription, allowing detection of the exon-specific transcripts by PCR [28] (c.f., Fig. 1, inset). We also found that, of the nine 5’UTEs in mouse Bdnf, only three (Ex1, Ex4, and Ex6) were detected in fetal brain and expression of all three was stimulated by VPA, suggesting that VPA promotes BDNF expression by activating transcription of those promoters. In those studies, we did not distinguish between males and females; consequently, in the present study, male and female brains were analyzed separately.
VPA has several potential mechanisms of action, one of which is to inhibit class-1 histone deacetylases (HDACs) [29,30]. This activity would be predicted to increase histone acetylation [31], generally a transcription-activating epigenetic mark [32,33]. Several lines of evidence have led to the conclusion that it is the HDAC-inhibiting properties of VPA that induce the ASD-like phenotype after in utero exposure [20,34,35]; e.g., prenatal exposure to structurally-unrelated class-1 HDAC inhibitors, such as trichostatin A (TSA), leads to ASD-like behavior [35]. TSA has also been reported to increase Bdnf expression in a neuronal cell line [36].
The evidence that HDAC inhibition in utero can induce Bdnf expression in the fetal brain and ASD-like behavior in postnatal animals led us to examine epigenetic changes in Bdnf Ex1, Ex4 and Ex6 and their respective upstream promoter regions, Pr1, Pr4 and Pr6, in the fetal brain after in utero exposure to VPA. Epigenetic changes in Ex2, which is expressed at extremely low levels in the E12.5 brain [26], were also investigated. The effect of VPA on H3K9/14, H3K27 and H4K5/8/12/16 acetylation at these sites was analyzed by native chromatin immunoprecipitation (ChIP). Because there can be “cross-talk” among epigenetic modifications [37,38], we also studied H3K27 and H3K4 trimethylation, which are generally silencing and activating marks respectively. Previous studies showed that there are abnormal patterns of global DNA methylation in ASD brains [39] and the Bdnf gene can be regulated by this epigenetic mark [40,41]; consequently, we also analyzed DNA CpG methylation up- and downstream from the Ex1, Ex4 and Ex6 transcription start sites (TSSs). To identify mechanisms that might underlie the increased prevalence of ASDs in males [42], we analyzed VPA-induced Bdnf mRNA expression and epigenetic changes in Bdnf in fetal brains from both sexes independently.
In this report, we identify molecular consequences of in utero VPA exposure on the fetal brain, using an animal model that recapitulates many behavioral characteristics as well as the sex bias of human ASDs. The long-term goal of the study is to generate hypotheses for the cellular and molecular origins of ASDs that can be further tested in other mouse strains, more advanced species and, eventually, in humans.
MATERIALS AND METHODS
Animal Breeding and Tissue Collection
All experiments were conducted according to a protocol approved by the IACUC at the University of Maryland School of Medicine. Timed pregnant C57Bl6 mice were supplied by the University of Maryland School of Medicine Veterinary Resources division; breeding stock was obtained from Jackson Laboratories, Bar Harbor, ME. Pregnancies were timed by overnight breeding. Males and females were separated the following morning (E0.5). At E12.5, pregnant dams were injected intraperitoneally with 400 mg/kg VPA (#P4543, Sigma, St. Louis MO) in sterile-filtered phosphate buffered saline (PBS; 138 mM NaCl/2.7 mM KCl/10 mM Na-phosphate, pH 7.4) or PBS alone and euthanized by cervical dislocation after 3 hrs or 24 hrs. Fetuses were determined to be at Theiler stage 20–21 with an average crown-rump distance of 9.8 mm, consistent with E12.5 [43]. Whole fetal brains, from the telencephalon through the metencephalon, were collected in ice cold PBS together with an additional tissue sample for sex determination of each fetus. 5 mM sodium butyrate was added to the PBS when the tissue was to be used for ChIP. Tissue was frozen on dry ice and stored at −80°C until use. Samples for RNA analysis were homogenized in Qiazol (Qiagen, Valencia, CA) and then frozen. 67 female and 67 male E12.5 fetuses were analyzed for this study.
Fetal Sex Determination
DNA was extracted from a somatic tissue sample using the Quick gDNA Mini- Prep kit (#D3025, Zymo Research, Irvine, CA) and analyzed by PCR using primers for Gapdh and Sry (Supplementary Table 1A). Adult male mouse DNA was used as a positive control (Supplementary Fig. 1).
Bdnf mRNA Expression
RNA was extracted from brain samples collected 3 hours after in utero exposure to VPA using the RNeasy Mini Kit (#74104, Qiagen), including the on-column DNase step. The mRNA was then reverse-transcribed using the High-Capacity cDNA Reverse Transcription Kit (# 4368814, Applied Biosystems, Carlsbad CA) with RNase Inhibitor (#N8080119, Applied Biosystems). The expression level of each 5’UTE was analyzed by qRT-PCR (ViiA 7, Applied Biosystems) using primers listed in Supplementary Table 1B. The forward primer was located in the 5’ exon and the reverse primer in the Bdnf coding region in order to selectively amplify the spliced RNA (c.f., Fig. 1 inset). The standard curve of serial dilutions for each target had a slope of 1.9 – 2.0 and all data points fell on the standard curve. All data were normalized to β-actin.
Native Chromatin Immunoprecipitation (ChIP)
The protocol used in this study was modified from the Epigenome Network of Excellence (NoE) protocol [44] for reduced tissue sample size. For each ChIP reaction, two sex-matched fetal brains from different litters were pooled. This pooled sample was lysed and nuclei were isolated on a sucrose gradient. Nuclear DNA was sheared by micrococcal nuclease (MNase #M0247S, New England Biolabs, Ipswich, MA). Following centrifugation, the supernatant (S1) was collected and the pellet was resuspended and dialyzed overnight in a Tube-O-Dialyzer (G-Biosciences, St. Louis, MO). The dialyzed sample (S2) was combined with S1 and used for both immunoprecipitation and to verify shearing efficiency by agarose gel electrophoresis (see below). 5 µg was of sample were added to DNA-LoBind tubes (#022431021, Eppendorf, Hauppauge, NY) for each antibody; IgG was used as a negative control. Samples were incubated overnight with magnetic protein A coated beads (Millipore, cat # 16-661) and antibodies against H3K9/14ac (#17-615, Millipore, Temecula CA /#C154100200 Diagenode, Denville NJ), H3K27ac (Diagenode #C15410196), H3K27me3 (Diagenode #C15410195), H3K4me3 (Diagenode #15410003) and H4K5/8/12/16ac (Millipore #06-866) or control IgG (#02612, Invitrogen, Waltham MA). The beads were then subjected to three salt washes followed a salt-free wash, which was conducted in a new tube. Chromatin was eluted using an SDS-containing buffer with proteinase K at 55° for 1 hour. DNA was purified from the eluted sample using the MinElute PCR Purification Kit (#28004, Qiagen). Covalent histone modifications were quantified by qRT-PCR; primers (Supplementary Table 1C) were located within the promoters or 5’UTEs of the Bdnf gene (Fig. 1, inset). Less than 0.05% of the starting amount of target DNA was detected by ChIP using IgG.
Agarose Gel Electrophoresis
To verify the efficiency of MNase digestion, the combined S1 and S2 sample was run on an agarose gel. 0.1% SDS was added to 2 µg of sample and gels were run at 100V for 1.5 hours and post-stained in 1 µg/ml ethidium bromide. The size of the majority of chromatin fragments was between 100 to 300 bp (Supplementary Fig. 2).
Bisulfite Sequencing
DNA was extracted from individual fetal brains using the Quick gDNA Mini-Prep kit (#D3024, Zymo Research). The DNA underwent bisulfite conversion using the EZ DNA Methylation Lightning kit (#D5020, Zymo Research). DNA was PCR amplified using primers constructed with an M13 tag attached to primers to the converted sequence (Supplementary Table 1D). Converted primers were designed using Meth- Primer. DNA was sequenced using the M13 tag to maximize read length.
Data Analysis and Statistics
ChIP data from male and female fetal brains were analyzed by two-way ANOVA with post-hoc Tukey test. Transcript data from qRT-PCR, separated by sex, was analyzed by two-way ANOVA. For DNA CpG methylation analysis, chromatograms (c.f., Fig 5B) were analyzed using Mutation Surveyor (SoftGenetics, State College, PA). For bisulfite-treated DNA, the program compares relative levels of methylated cytosines, read as cytosines, versus unmethylated cytosines, read as thymines. The software determined the “noise” level for each chromatogram and only recognized locations where the methylation level was above that level. Therefore, CpGs with very low levels of methylation would not be identified by this method. The level of methylation at each detected location was analyzed by t-test. Statistical tests were performed on SigmaPlot (Systat Software, San Jose CA). Statistically significant differences are indicated by asterisks as defined in the figure legends. In Figs. 1, 5 and 6, “n” refers to individual fetuses; in Figs. 2 – 4, “n” refers to pooled samples, each containing two fetal brains of the same sex from different pregnancies. A full statistical analysis is provided in Supplementary Tables 2 – 4.
RESULTS
Sex differences among Bdnf transcripts
The effect of VPA on Bdnf Ex9 expression is shown in Fig. 1A. Ex9 encodes the BDNF protein and its expression reflects the total level of Bdnf mRNA, regardless of the 5’UTE from which transcription is initiated (see Fig. 1, inset). VPA exposure induced an increase in Bdnf mRNA in both male and female fetal brains, consistent with the 6-fold increase in Ex9 mRNA previously reported without taking sex into account [26]. We also analyzed expression of Ex1-, Ex4- and Ex6-containing transcripts in both male and female fetal brains (Fig. 1B–D). The effect of VPA on Bdnf transcripts containing Ex1 and Ex4, but not Ex6, was sexually dimorphic: a larger stimulation by VPA was observed in female than in male fetuses. Although the qRT-PCR reactions were not calibrated by doping with RNA standards, we estimate that Ex6 was the most abundant Bdnf transcript based on CT values. Since levels of Ex6 were the same in males and females (Fig. 1D), this may explain the absence of a significant sex difference in Ex9 (Fig. 1A). Consistent with previous findings [26], Ex2-containing transcripts were expressed at levels too low to be quantified using these methods (data not shown).
Histone acetylation
Chromatin from fetal brains was subjected to native ChIP using antibodies to H3K9/14ac, H3K27ac and H4K5/8/12/16ac or control IgG. The immunoprecipitated DNA was analyzed by qRT-PCR to amplify sequences upstream from the TSSs of Ex1, Ex4, and Ex6 (i.e., in the promoter region: Pr1, Pr4, and Pr6) as well as sequences in the 5’UTEs, up to 300 bp downstream from the TSSs (Ex1, Ex2, Ex4 and Ex6) (Supplementary Fig. 3).
Data for histone acetylation are shown in Fig. 2 with male and female fetal brains analyzed separately. At 3 hrs, VPA increased the level of acetylation of H3 at K9/14 and K27 and H4 at one or more of the 4 known acetylated lysines (K5/8/12/16). All data were normalized to the starting amount of target DNA (% Input) for each ChIP. The average stimulation of histone acetylation by VPA across all targets in Bdnf was 4.5 ± 1.5-fold. Acetylation of histone lysines analyzed in E2 is also substantially increased by VPA. With the exception of small effects of sex in H3K9/14ac at Ex4 and Ex6 and H3K27ac at Ex6, no sex differences were observed.
We also examined H3K27ac and H4K5/8/12/16ac levels 24 hrs after VPA exposure, by which time the VPA-induced acetylation had returned to control levels; no sex differences were observed (Fig. 3). This parallels the reversal of the VPA-induced increases in Bdnf Ex9 mRNA and BDNF protein levels by 24 hrs [26].
Histone methylation
VPA significantly increased H3K4me3 within 3 hrs at each of the seven Bdnf sites studied (Fig. 4A). However, in contrast to H3 and H4 acetylation, analysis of H3K4me3 revealed a striking sexual dimorphism. H3K4me3 was significantly higher in females at 5 of the 7 sites examined; notably, in males, VPA had no effect at all on H3K4me3 at Pr4, Pr6 and Ex6. In contrast to H3K4me3, H3K27me3 was unaffected by VPA exposure at any of the sites examined; no sex differences were observed (Fig. 4B).
DNA CpG Methylation
DNA extracted from fetal brains was obtained 3 hrs after administration of VPA to the pregnant dam was bisulfite-modified. Overlapping sequences of bisulfite-converted genomic DNA covering CpGs in the vicinity of the TSSs of Ex1, Ex4 and Ex6 (Fig. 5A) were amplified by PCR using primers specific for bisulfite-converted DNA (Supplementary Table 1D). PCR products were sequenced and the extent to which each unmethylated CpG cytosine was converted to uracil (read as thymine after PCR amplification) was quantified. After bisulfite conversion, methylated Cs continue to be read as Cs. A typical sequencing chromatogram illustrating both unmethylated and partially methylated Cs in Pr4 are shown in Fig. 5B. Of the 117 CpGs in the promoters and coding regions of Ex1, Ex4 and Ex6, 113 were <10% methylated and VPA did not affect the degree of methylation; the locations of these CpGs in Bdnf are shown as black ticks in Fig. 5C.
In contrast, a sequence of four CpGs in Pr4 upstream of the Ex4 TSS was 30 – 50% methylated in control brains (red ticks in Fig. 5C). Fig. 6A shows the DNA sequence surrounding this 4-CpG cluster (arrows) which is located just upstream from the Ca2+-regulatory elements in Pr4. These elements are designated CaRE1 – 3 [45] and include the CREB-binding element, cre (CaRE3), shown in pink highlighting (Fig. 6A). The effect of VPA on the four hyper-methylated CpGs in Pr4 is shown in Fig. 6B. VPA did not significantly affect methylation of any of the individual CpGs although it significantly reduced the aggregate level of methylation of the cluster; there was no difference between males and females (data not shown).
DISCUSSION
Rationale for analyzing multiple epigenetic marks in Bdnf
Although VPA is an HDAC inhibitor, DNA CpG methylation and histone methylation as well as histone acetylation were examined because multiple epigenetic marks act cooperatively in gene activation and silencing, in part due to functional “cross-talk” among these epigenetic mechanisms [32,37,46,47]. For example, acetylated histone lysines can recruit histone methylating or demethylating enzymes to the chromatin, where they would modulate histone methylation levels; more-over, the histone methylase, MLL4, is associated with multiprotein complexes that bind to acetylated histone 3 [48]. An additional factor is mutual exclusion of modifications at the same histone lysine residue, for example, acetylation and trimethylation of H3K27 are mutually exclusive [49]. In addition to crosstalk between histone modifications, histone acetylation can affect DNA CpG methylation by recruiting enzymes that control DNA methylation state [50–52]. Consequently, we examined histone acetylation and methylation, as well as DNA CpG methylation in the vicinity of the TSSs of Bdnf 5’UTE’s 1, 2, 4 and 6.
Sexually dimorphic trimethylation of H3K4 induced by VPA
We analyzed the effect of VPA on H3K4me3, an activating epigenetic mark, and H3K27me3, a silencing mark, in both male and female fetuses. We found that stimulation of H3K4me3 by VPA was greater in females than in males at 5 of the 7 sites examined (Fig. 4A). In fact, at Pr4, Pr6 and Ex6, VPA stimulated H3K4me3 in females but had no effect in males. The most dramatic sex differences in the effects of VPA on H3K4me3 were observed at Ex6 (Fig. 4A), despite the fact that no sex differences were observed in Ex6–Ex9 transcripts (Fig. 1). Consistent with this observation, in a study of the chromatin states of male and female adult mouse liver, sex differences were found in activating or repressing histone marks that were not reflected in the corresponding transcripts [53]. Similarly, while widespread sex differences have been found in H3K4me3 levels in a sexually dimorphic region of the adult mouse brain (bed nucleus of the stria terminalis and preoptic area); only 10 – 15% of those genes displayed sexually dimorphic mRNA expression [54]. Therefore, the lack of correlation between sex differences in H3K4me3 and transcript expression as we observed for Ex6, appears to be the norm, while the correlated sexually dimorphic H3K4me3 and transcript expression we observed for exons 1 and 4 are exceptions.
While each of the sites examined in Bdnf was found to be associated with substantial levels of H3K27me3, VPA did not alter these levels nor were any sex differences observed (Fig. 4B). Thus, it appears that transcription of these Bdnf 5’UTEs is regulated by “poised” promoters [49,55], with increased H3K4me3, but not decreased H3K27me3, contributing to the mechanism by which they can be activated by VPA.
VPA induces robust and widespread histone lysine acetylation at Bdnf exons 1, 2, 4 and 6
A working hypothesis for this study was that the stimulatory effects of VPA on Bdnf transcription are mediated by increased histone acetylation within and upstream of the active Bdnf exons 1, 4 and 6. As predicted, VPA administered to the pregnant dam at E12.5 induced a robust increase in H3K9/14ac, H3K27ac and H4K5/8/12/16ac at every site examined (Fig. 2). Thus, VPA promoted the histone acetylation indiscriminately at exons Pr1, Ex1, Ex 2, Pr4, Ex4, Pr6 and Ex6. Since enzymatic chromatin fragmentation reduced the average size to 1 – 2 nucleosomes (Supplementary Fig. 1), the separation between the promoter region and 5’UTE amplicons (Supplementary Fig. 3) is sufficient to reflect association with different nucleosomes. Thus, VPA induces a generalized increase in histone acetylation both up- and downstream of multiple TSSs in Bdnf.
The increased levels of H3K27ac and H4K5/8/12/16ac at Pr4 and Ex4 returned to baseline within 24 hrs (Fig. 3), tracking the time course of Bdnf mRNA and protein [26]. Our results do not support a mechanism by which histone acetylation alone is sufficient for transcription; acetylation may be one of multiple activating marks that are required. However, if histone acetylation is necessary for gene activation, deacetylation observed at 24 hrs may contribute to the termination of Bdnf transcription.
Changes in DNA methylation do not mediate the effects of VPA on Bdnf in the developing brain
Overall, we found little effect of VPA exposure on DNA CpG methylation of Bdnf in the E12.5 fetal brain (Fig. 5C). Indeed, levels of methylation across P1/E1, P4/E4 and P6/E6 were very low (<10%), consistent with a high CpG density (CpG islands) in these regions; in general, low levels of CpG methylation are found early in fetal development and those levels increase later [56]. One possible consequence of the low level of CpG methylation, normally a silencing epigenetic mark, is that during early embryonic development, Bdnf needs to be available for rapid activation by transcription factors and histone modifications, which could be impeded if CpG demethylation were also required.
Although 113 of the 117 CpGs in P1/E1, P4/E4 and P6/E6 were not significantly methylated in the control fetal mouse brain, all four CpGs in a cluster upstream from the Ca2+-dependent regulatory elements (CaRE1 – 3) of P4, were substantially methylated (30 – 50%); however, VPA had minimal effect on methylation of those CpGs (Fig. 6). It is of interest that 3 of the 4 CpGs in the cluster are components of a sequence ( cggaattct) that is 80% homologous to a putative regulatory element that binds the transcription factors, Elk1 or ETS. While regulation of Bdnf transcription by Elk-1 has previously been reported, direct binding to those DNA sequences has not been observed [57,58]. However, none of those studies examined neuronal cells; cell type and CpG methylation status may determine whether Elk-1 can bind to Bdnf.
A proposed mechanism for sex differences in H3K4me3
Gonadal development and sex hormone expression is just beginning at E12.5 in the mouse [59] with very low levels detected at that time [60]. Consequently, it is likely that the sexually dimorphic regulation of Bdnf transcripts is due to genetic sex rather than sex hormones. Our results suggest that the enzymatic machinery involved in H3K4 demethylation may be more active in males than in females; indeed, two H3K4 demethylases are sex-linked. Kdm5d, the gene encoding the H3K4-specific demethylase, JARID1D, is located on the Y-chromosome [61] and is expressed only in males, while its homolog, Kdm5c (also known as X-linked mental retardation gene), encoding JARID1C is located on the X-chromosome and may, in some tissues and developmental stages, only partially escape X-inactivation [62,63]. A mutation in Kdm5c (JARID1C) has been linked to autism [64], underscoring an important role of this enzyme in brain development. Thus, differential expression of JARID1C and D demethylases may contribute to the sex differences we observed in H3K4me3 in Bdnf and in Bdnf transcripts.
Functional implications of multiple 5’UTEs in Bdnf
During transcription, RNA splicing can lead to 18 different transcripts [28], each with the same protein coding region, one of nine distinct 5’UTEs (c.f., Fig. 1A) and either a long or short 3’UTR. There are at least two theories concerning the functional role played by the multiple 5’UTEs. The first proposes that the 5’UTEs function as “zip codes” that specify, during transcription, the spatial domain within the cell to which the mRNA should be targeted, such as the soma or distal dendrites [65,66]. Whether such exon-specific transcript targeting is operating in the proliferating neuroprogenitors or immature neurons that comprise the primary cell types in the fetal brain at E12.5 is not known. The other postulated function of the Bdnf 5’UTEs is to enable Bdnf transcription activated by multiple, cell-specific signaling pathways [67]. In that case, the cell-specific signaling mechanism would be matched to the regulatory elements in one of the promoter regions of the 5’UTEs. Thus, according to this second theory, expression of transcripts with different 5’UTEs would be specific to cell type, brain region, and/or developmental stage. By either or both of these two mechanisms, sex differences in VPA-induced Bdnf levels of Ex1- and Ex4-containing transcripts (Fig. 1B,C), mediated by H3K4me3 (Fig. 4A), could determine the cellular sites of BDNF synthesis. This could alter the trajectory of brain development in males versus females, possibly contributing to sex differences in the occurrence and severity of behavioral symptoms.
Reconciling male sex bias in ASDs with higher VPA-induced Bdnf expression in females
In the rodent VPA model, there is a correlation between elevated Bdnf expression in the fetal brain [26] and ASD-like symptoms in the adult [15], suggesting a causal link between the two. However, VPA exposure alters expression of a wide range of genes in addition to Bdnf, including some that could dysregulate brain development and function if overexpressed in the fetal brain [68]. The results reported here show that, following in utero VPA exposure, there is more Ex1- and Ex4- Bdnf mRNA in female than in male fetal brains. The lower incidence and severity of ASDs in females needs to be reconciled with this result. One possibility is that elevated BDNF is not the cause of the symptoms, but instead, acts as a compensating, protective factor in females to offset other pathogenic effects of VPA.
Supplementary Material
Acknowledgments
The authors gratefully acknowledge support from NIH grant R01HD067135 to BKK and a predoctoral fellowship from the PhRMA Foundation to MAK. We thank Drs. S. G. Dorsey, T. F. Haydar, T. J. Kingsbury, K. Martinowich, M. M. McCarthy, E. M. Powell, A. Puche and R. W. Tsien for comments on the manuscript and C. D. Roby for technical advice. Submitted by M Konopko in partial fulfillment of the requirements for a PhD in Neuroscience from the University of Maryland Baltimore.
Supported by NIH grant R01HD067135 to BKK and a PhRMA predoctoral fellowship to MAK.
Footnotes
CONFLICT OF INTEREST STATEMENT
The authors report no conflicts of interest.
References
- 1.Chawarska K, Macari S, Shic F. Decreased spontaneous attention to social scenes in 6-month-old infants later diagnosed with autism spectrum disorders. Biol Psychiatry. 2013;74:195–203. doi: 10.1016/j.biopsych.2012.11.022. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2.Surén P, Roth C, Bresnahan M, Haugen M, Hornig M, Hirtz D, et al. Association between maternal use of folic acid supplements and risk of autism spectrum disorders in children. JAMA. 2013;309:570–577. doi: 10.1001/jama.2012.155925. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3.Virk J, Liew Z, Olsen J, Nohr EA, Catov JM, Ritz B. Preconceptional and prenatal supplementary folic acid and multivitamin intake and autism spectrum disorders. Autism Int J Res Pract. 2015 doi: 10.1177/1362361315604076. [DOI] [PubMed] [Google Scholar]
- 4.Chang J, Gilman SR, Chiang AH, Sanders SJ, Vitkup D. Genotype to phenotype relationships in autism spectrum disorders. Nat Neurosci. 2015;18:191–198. doi: 10.1038/nn.3907. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5.Budimirovic DB, Kaufmann WE. What can we learn about autism from studying fragile X syndrome? Dev Neurosci. 2011;33:379–394. doi: 10.1159/000330213. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6.Arndt TL, Stodgell CJ, Rodier PM. The teratology of autism. Int J Dev Neurosci. 2005;23:189–199. doi: 10.1016/j.ijdevneu.2004.11.001. [DOI] [PubMed] [Google Scholar]
- 7.Ploeger A, Raijmakers MEJ, van der Maas HLJ, Galis F. The Association Between Autism and Errors in Early Embryogenesis: What Is the Causal Mechanism? Biol Psychiatry. 2010;67:602–607. doi: 10.1016/j.biopsych.2009.10.010. [DOI] [PubMed] [Google Scholar]
- 8.Roberts EM, English PB, Grether JK, Windham GC, Somberg L, Wolff C. Maternal residence near agricultural pesticide applications and autism spectrum disorders among children in the California Central Valley. Environ Health Perspect. 2007;115:1482–1489. doi: 10.1289/ehp.10168. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9.Wisner KL, Leckman-Westin E, Finnerty M, Essock SM. Valproate prescription prevalence among women of childbearing age. Psychiatr Serv Wash DC. 2011;62:218–220. doi: 10.1176/ps.62.2.pss6202_0218. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.Bromley RL, Mawer G, Clayton-Smith J, Baker GA. Autism Spectrum Disorders Following in Utero Exposure to Antiepileptic Drugs. Neurology. 2008;71:1923–1924. doi: 10.1212/01.wnl.0000339399.64213.1a. [DOI] [PubMed] [Google Scholar]
- 11.Christensen J, Grønborg TK, Sørensen MJ, Schendel D, Parner ET, Pedersen LH, et al. Prenatal valproate exposure and risk of autism spectrum disorders and childhood autism. JAMA. 2013;309:1696–1703. doi: 10.1001/jama.2013.2270. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.Gerard EE, Meador KJ. An Update on Maternal Use of Antiepileptic Medications in Pregnancy and Neurodevelopment Outcomes. J Pediatr Genet. 2015;4:94–110. doi: 10.1055/s-0035-1556741. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.Moore SJ, Turnpenny P, Quinn A, Glover S, Lloyd DJ, Montgomery T, et al. A clinical study of 57 children with fetal anticonvulsant syndromes. J Med Genet. 2000;37:489–497. doi: 10.1136/jmg.37.7.489. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14.Ornoy A, Weinstein-Fudim L, Ergaz Z. Prenatal factors associated with autism spectrum disorder (ASD) Reprod Toxicol Elmsford N. 2015;56:155–169. doi: 10.1016/j.reprotox.2015.05.007. [DOI] [PubMed] [Google Scholar]
- 15.Roullet FI, Lai JKY, Foster JA. In utero exposure to valproic acid and autism — A current review of clinical and animal studies. Neurotoxicol Teratol. 2013;36:47–56. doi: 10.1016/j.ntt.2013.01.004. [DOI] [PubMed] [Google Scholar]
- 16.Mychasiuk R, Richards S, Nakahashi A, Kolb B, Gibb R. Effects of rat prenatal exposure to valproic acid on behaviour and neuro-anatomy. Dev Neurosci. 2012;34:268–276. doi: 10.1159/000341786. [DOI] [PubMed] [Google Scholar]
- 17.Gandal MJ, Edgar JC, Ehrlichman RS, Mehta M, Roberts TPL, Siegel SJ. Validating γ oscillations and delayed auditory responses as translational biomarkers of autism. Biol Psychiatry. 2010;68:1100–1106. doi: 10.1016/j.biopsych.2010.09.031. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18.Schneider T, Przewłocki R. Behavioral alterations in rats prenatally exposed to valproic acid: animal model of autism. Neuropsychopharmacol. 2005;30:80–89. doi: 10.1038/sj.npp.1300518. [DOI] [PubMed] [Google Scholar]
- 19.Hutsler JJ, Zhang H. Increased dendritic spine densities on cortical projection neurons in autism spectrum disorders. Brain Res. 2010;1309:83–94. doi: 10.1016/j.brainres.2009.09.120. [DOI] [PubMed] [Google Scholar]
- 20.Kataoka S, Takuma K, Hara Y, Maeda Y, Ago Y, Matsuda T. Autism-like behaviours with transient histone hyperacetylation in mice treated prenatally with valproic acid. Int J Neuropsychopharmacol. 2013;16:91–103. doi: 10.1017/S1461145711001714. [DOI] [PubMed] [Google Scholar]
- 21.Stoner R, Chow ML, Boyle MP, Sunkin SM, Mouton PR, Roy S, et al. Patches of disorganization in the neocortex of children with autism. N Engl J Med. 2014;370:1209–1219. doi: 10.1056/NEJMoa1307491. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22.Codagnone MG, Podestá MF, Uccelli NA, Reinés A. Differential Local Connectivity and Neuroinflammation Profiles in the Medial Prefrontal Cortex and Hippocampus in the Valproic Acid Rat Model of Autism. Dev Neurosci. 2015;37:215–231. doi: 10.1159/000375489. [DOI] [PubMed] [Google Scholar]
- 23.Schneider T, Roman A, Basta-Kaim A, Kubera M, Budziszewska B, Schneider K, et al. Gender-specific behavioral and immunological alterations in an animal model of autism induced by prenatal exposure to valproic acid. Psychoneuroendocrinology. 2008;33:728–740. doi: 10.1016/j.psyneuen.2008.02.011. [DOI] [PubMed] [Google Scholar]
- 24.Mowery TM, Wilson SM, Kostylev PV, Dina B, Buchholz JB, Prieto AL, et al. Embryological exposure to valproic acid disrupts morphology of the deep cerebellar nuclei in a sexually dimorphic way. Int J Dev Neurosci. 2015;40:15–23. doi: 10.1016/j.ijdevneu.2014.10.003. [DOI] [PubMed] [Google Scholar]
- 25.Kim KC, Kim P, Go HS, Choi CS, Park JH, Kim HJ, et al. Male-specific alteration in excitatory post-synaptic development and social interaction in pre-natal valproic acid exposure model of autism spectrum disorder. J Neurochem. 2013;124:832–843. doi: 10.1111/jnc.12147. [DOI] [PubMed] [Google Scholar]
- 26.Almeida LEF, Roby CD, Krueger BK. Increased BDNF expression in fetal brain in the valproic acid model of autism. Mol Cell Neurosci. 2014;59:57–62. doi: 10.1016/j.mcn.2014.01.007. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27.Cohen-Cory S, Kidane AH, Shirkey NJ, Marshak S. Brain-derived neurotrophic factor and the development of structural neuronal connectivity. Dev Neurobiol. 2010;70:271–288. doi: 10.1002/dneu.20774. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28.Aid T, Kazantseva A, Piirsoo M, Palm K, Timmusk T. Mouse and rat BDNF gene structure and expression revisited. J Neurosci Res. 2007;85:525–535. doi: 10.1002/jnr.21139. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29.Delcuve GP, Khan DH, Davie JR. Roles of histone deacetylases in epigenetic regulation: emerging paradigms from studies with inhibitors. Clin Epigenetics. 2012;4:5. doi: 10.1186/1868-7083-4-5. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30.Monti B, Polazzi E, Contestabile A. Biochemical, molecular and epigenetic mechanisms of valproic acid neuroprotection. Curr Mol Pharmacol. 2009;2:95–109. doi: 10.2174/1874467210902010095. [DOI] [PubMed] [Google Scholar]
- 31.Hezroni H, Sailaja BS, Meshorer E. Pluripotency-related, valproic acid (VPA)-induced genome-wide histone H3 lysine 9 (H3K9) acetylation patterns in embryonic stem cells. J Biol Chem. 2011;286:35977–35988. doi: 10.1074/jbc.M111.266254. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32.Karmodiya K, Krebs AR, Oulad-Abdelghani M, Kimura H, Tora L. H3K9 and H3K14 acetylation co-occur at many gene regulatory elements, while H3K14ac marks a subset of inactive inducible promoters in mouse embryonic stem cells. BMC Genomics. 2012;13:424. doi: 10.1186/1471-2164-13-424. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33.Yao B, Christian KM, He C, Jin P, Ming G-L, Song H. Epigenetic mechanisms in neurogenesis. Nat Rev Neurosci. 2016;17:537–549. doi: 10.1038/nrn.2016.70. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 34.Kumamaru E, Egashira Y, Takenaka R, Takamori S. Valproic acid selectively suppresses the formation of inhibitory synapses in cultured cortical neurons. Neurosci Lett. 2014;569:142–147. doi: 10.1016/j.neulet.2014.03.066. [DOI] [PubMed] [Google Scholar]
- 35.Moldrich RX, Leanage G, She D, Dolan-Evans E, Nelson M, Reza N, Reutens DC. Inhibition of histone deacetylase in utero causes sociability deficits in postnatal mice. Behav Brain Res. 2013;257:253–264. doi: 10.1016/j.bbr.2013.09.049. [DOI] [PubMed] [Google Scholar]
- 36.Ishimaru N, Fukuchi M, Hirai A, Chiba Y, Tamura T, Takahashi N, et al. Differential epigenetic regulation of BDNF and NT-3 genes by trichostatin A and 5-aza-2’-deoxycytidine in Neuro-2a cells. Biochem Biophys Res Commun. 2010;394:173–177. doi: 10.1016/j.bbrc.2010.02.139. [DOI] [PubMed] [Google Scholar]
- 37.Suganuma T, Workman JL. Crosstalk among Histone Modifications. Cell. 2008;135:604–607. doi: 10.1016/j.cell.2008.10.036. [DOI] [PubMed] [Google Scholar]
- 38.Berger SL. The complex language of chromatin regulation during transcription. Nature. 2007;447:407–412. doi: 10.1038/nature05915. [DOI] [PubMed] [Google Scholar]
- 39.Schaafsma SM, Pfaff DW. Etiologies underlying sex differences in Autism Spectrum Disorders. Front Neuroendocrinol. 2014;35:255–271. doi: 10.1016/j.yfrne.2014.03.006. [DOI] [PubMed] [Google Scholar]
- 40.Lubin FD, Roth TL, Sweatt JD. Epigenetic regulation of BDNF gene transcription in the consolidation of fear memory. J Neurosci. 2008;28:10576–10586. doi: 10.1523/JNEUROSCI.1786-08.2008. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 41.Martinowich K, Hattori D, Wu H, Fouse S, He F, Hu Y, et al. DNA methylation-related chromatin remodeling in activity-dependent BDNF gene regulation. Science. 2003;302:890–893. doi: 10.1126/science.1090842. [DOI] [PubMed] [Google Scholar]
- 42.Ratnu VS, Emami MR, Bredy TW. Genetic and epigenetic factors underlying sex differences in the regulation of gene expression in the brain. J Neurosci Res. 2017;95:301–310. doi: 10.1002/jnr.23886. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 43.Richardson L, Venkataraman S, Stevenson P, Yang Y, Moss J, Graham L, et al. EMAGE mouse embryo spatial gene expression database: 2014 update. Nucleic Acids Res. 2014;42:D835–D844. doi: 10.1093/nar/gkt1155. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 44.Umlauf D, Goto Y, Wagschal A, Arnaud P, Feil R, Lewis A. Epigenome NoE - protocol: Chromatin immunoprecipitation on native chromatin from cells and tissues. [cited 2016 Oct 7];Epigenome Netw Excell. 2005 Available from: http://www.epigenome-noe.net/researchtools/protocol.php_protid=22.html.
- 45.Chen WG, West AE, Tao X, Corfas G, Szentirmay MN, Sawadogo M, et al. Upstream stimulatory factors are mediators of Ca2+-responsive transcription in neurons. J Neurosci Off J Soc Neurosci. 2003;23:2572–2581. doi: 10.1523/JNEUROSCI.23-07-02572.2003. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 46.Du J, Patel DJ. Structural biology-based insights into combinatorial readout and crosstalk among epigenetic marks. Biochim Biophys Acta BBA - Gene Regul Mech. 2014;1839:719–727. doi: 10.1016/j.bbagrm.2014.04.011. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 47.Huang P-H, Plass C, Chen C-S. Effects of Histone Deacetylase Inhibitors on Modulating H3K4 Methylation Marks – A Novel Cross-Talk Mechanism between Histone-Modifying Enzymes. Mol Cell Pharmacol. 2011;3:39–43. [PMC free article] [PubMed] [Google Scholar]
- 48.Nightingale KP, Gendreizig S, White DA, Bradbury C, Hollfelder F, Turner BM. Cross-talk between Histone Modifications in Response to Histone Deacetylase Inhibitors MLL4 LINKS HISTONE H3 ACETYLATION AND HISTONE H3K4 METHYLATION. J Biol Chem. 2007;282:4408–4416. doi: 10.1074/jbc.M606773200. [DOI] [PubMed] [Google Scholar]
- 49.Harikumar A, Meshorer E. Chromatin remodeling and bivalent histone modifications in embryonic stem cells. EMBO Rep. 2015 doi: 10.15252/embr.201541011. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 50.Cedar H, Bergman Y. Linking DNA methylation and histone modification: patterns and paradigms. Nat Rev Genet. 2009;10:295–304. doi: 10.1038/nrg2540. [DOI] [PubMed] [Google Scholar]
- 51.Kondo Y. Epigenetic cross-talk between DNA methylation and histone modifications in human cancers. Yonsei Med J. 2009;50:455–463. doi: 10.3349/ymj.2009.50.4.455. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 52.Vaissière T, Sawan C, Herceg Z. Epigenetic interplay between histone modifications and DNA methylation in gene silencing. Mutat Res Mutat Res. 2008;659:40–48. doi: 10.1016/j.mrrev.2008.02.004. [DOI] [PubMed] [Google Scholar]
- 53.Sugathan A, Waxman DJ. Genome-wide analysis of chromatin states reveals distinct mechanisms of sex-dependent gene regulation in male and female mouse liver. Mol Cell Biol. 2013;33:3594–3610. doi: 10.1128/MCB.00280-13. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 54.Shen EY, Ahern TH, Cheung I, Straubhaar J, Dincer A, Houston I, et al. Epigenetics and sex differences in the brain: A genome-wide comparison of histone-3 lysine-4 trimethylation (H3K4me3) in male and female mice. Exp Neurol. 2015;268:21–29. doi: 10.1016/j.expneurol.2014.08.006. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 55.Sachs M, Onodera C, Blaschke K, Ebata KT, Song JS, Ramalho-Santos M. Bivalent chromatin marks developmental regulatory genes in the mouse embryonic germline in vivo. Cell Rep. 2013;3:1777–1784. doi: 10.1016/j.celrep.2013.04.032. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 56.Lister R, Mukamel EA, Nery JR, Urich M, Puddifoot CA, Johnson ND, et al. Global epigenomic reconfiguration during mammalian brain development. Science. 2013;341:1237905. doi: 10.1126/science.1237905. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 57.Boros J, Donaldson IJ, O’Donnell A, Odrowaz ZA, Zeef L, Lupien M, et al. Elucidation of the ELK1 target gene network reveals a role in the coordinate regulation of core components of the gene regulation machinery. Genome Res. 2009;19:1963–1973. doi: 10.1101/gr.093047.109. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 58.Odrowaz Z, Sharrocks AD. ELK1 Uses Different DNA Binding Modes to Regulate Functionally Distinct Classes of Target Genes. PLoS Genet. 2012;8:e1002694. doi: 10.1371/journal.pgen.1002694. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 59.Steinberger A, Steinberger E. Testicular Development, Structure, and Function. Raven Press; 1980. [Google Scholar]
- 60.Habert R, Picon R. Testosterone, dihydrotestosterone and estradiol-17 beta levels in maternal and fetal plasma and in fetal testes in the rat. J Steroid Biochem. 1984;21:193–198. doi: 10.1016/0022-4731(84)90383-2. [DOI] [PubMed] [Google Scholar]
- 61.Wolstenholme JT, Rissman EF, Bekiranov S. Sexual differentiation in the developing mouse brain: contributions of sex chromosome genes. Genes Brain Behav. 2013;12:166–180. doi: 10.1111/gbb.12010. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 62.Sheardown S, Norris D, Fisher A, Brockdorff N. The Mouse Smcx Gene Exhibits Developmental and Tissue Specific Variation in Degree of Escape from X Inactivation. Hum Mol Genet. 1996;5:1355–1360. [Google Scholar]
- 63.Yang F, Babak T, Shendure J, Disteche CM. Global survey of escape from X inactivation by RNA-sequencing in mouse. Genome Res. 2010;20:614–622. doi: 10.1101/gr.103200.109. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 64.Adegbola A, Gao H, Sommer S, Browning M. A novel mutation in JARID1C/SMCX in a patient with autism spectrum disorder (ASD) Am J Med Genet A. 2008;146A:505–511. doi: 10.1002/ajmg.a.32142. [DOI] [PubMed] [Google Scholar]
- 65.Baj G, Leone E, Chao MV, Tongiorgi E. Spatial segregation of BDNF transcripts enables BDNF to differentially shape distinct dendritic compartments. Proc Natl Acad Sci U S A. 2011;108:16813–16818. doi: 10.1073/pnas.1014168108. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 66.Maynard KR, Hill JL, Calcaterra NE, Palko ME, Kardian A, Paredes D, et al. Functional role of BDNF production from unique promoters in aggression and serotonin signaling. Neuropsychopharmacol. 2016;41:1943–1955. doi: 10.1038/npp.2015.349. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 67.Maynard KR, Hobbs JW, Sukumar M, Kardian AS, Jimenez DV, Schloesser RJ, Martinowich K. Bdnf mRNA splice variants differentially impact CA1 and CA3 dendrite complexity and spine morphology in the hippocampus. Brain Struct Funct. 2017 doi: 10.1007/s00429-017-1405-3. [Epub ahead of print] [DOI] [PMC free article] [PubMed] [Google Scholar]
- 68.Kawanai T, Ago Y, Watanabe R, Inoue A, Taruta A, Onaka Y, et al. Prenatal Exposure to Histone Deacetylase Inhibitors Affects Gene Expression of Autism-Related Molecules and Delays Neuronal Maturation. Neurochem Res. 2016;41:2574–2584. doi: 10.1007/s11064-016-1969-y. [DOI] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.