Impact Factor 3.902

The world's most-cited Neurosciences journals

Original Research ARTICLE

Front. Mol. Neurosci., 25 September 2018 | https://doi.org/10.3389/fnmol.2018.00337

Sex Hormones Regulate SHANK Expression

Simone Berkel1†, Ahmed Eltokhi1,2†, Henning Fröhlich1, Diana Porras-Gonzalez1, Rafiullah Rafiullah1, Rolf Sprengel2 and Gudrun A. Rappold1*
  • 1Department of Human Molecular Genetics, Institute of Human Genetics, Ruprecht-Karls-University, Heidelberg, Germany
  • 2Research Group of the Max Planck Institute for Medical Research at the Institute of Anatomy and Cell Biology, Ruprecht-Karls-University, Heidelberg, Germany

Autism spectrum disorders (ASD) have a higher prevalence in male individuals compared to females, with a ratio of affected boys compared to girls of 4:1 for ASD and 11:1 for Asperger syndrome. Mutations in the SHANK genes (comprising SHANK1, SHANK2 and SHANK3) coding for postsynaptic scaffolding proteins have been tightly associated with ASD. As early brain development is strongly influenced by sex hormones, we investigated the effect of dihydrotestosterone (DHT) and 17β-estradiol on SHANK expression in a human neuroblastoma cell model. Both sex hormones had a significant impact on the expression of all three SHANK genes, which could be effectively blocked by androgen and estrogen receptor antagonists. In neuron-specific androgen receptor knock-out mice (ArNesCre), we found a nominal significant reduction of all Shank genes at postnatal day 7.5 in the cortex. In the developing cortex of wild-type (WT) CD1 mice, a sex-differential protein expression was identified for all Shanks at embryonic day 17.5 and postnatal day 7.5 with significantly higher protein levels in male compared to female mice. Together, we could show that SHANK expression is influenced by sex hormones leading to a sex-differential expression, thus providing novel insights into the sex bias in ASD.

Introduction

Autism Spectrum disorders (ASD) are neurodevelopmental disorders characterized by restricted and repetitive behaviors, lack of imaginative play and impaired social interaction coupled with verbal and non-verbal communication deficits. Heritability is estimated between 70%–90%, and one out of 68 children in the United States is affected (Bailey et al., 1995; Developmental Disabilities Monitoring Network Surveillance Year 2010 Principal Investigators, Centers for Disease Control and Prevention (CDC), 2014). ASD symptoms persist throughout life and prenatal impairments develop into a postnatal manifestation (Rabaneda et al., 2014).

ASD occur more frequently in males compared to females with a ratio of 4:1 for ASD and 11:1 for Asperger syndrome (Gillberg et al., 2006; Fombonne, 2009; Werling, 2016); however, the mechanism behind this sex-differential risk is not well understood. A diagnostic bias may explain part of these differences as ASD are more visible and easier to be diagnosed in males (Bargiela et al., 2016). One hypothesis to explain the sex-differential risk postulates that ASD risk genes show sex-dimorphic expression as they may reside on the sex chromosomes and are influenced by skewed X chromosome inactivation or sex-specific imprinting defects on autosomes. Another hypothesis claims that ASD risk genes interact with sexually dimorphic pathways (Baron-Cohen et al., 2011; Werling et al., 2016). Prenatal and neonatal brain development is known to be influenced by sex hormones, suggesting that they may indeed play a role in the sex-differential expression of ASD symptoms (Werling, 2016). Estrogen enhances synaptogenesis and modulates synaptic plasticity and presumably has a neuroprotective effect (Beyer, 1999). Furthermore, a subset of adolescent ASD individuals presented elevated androgen levels (Tordjman et al., 1997) and individual differences in the development of typical autistic traits were shown to be influenced by fetal testosterone levels (Auyeung et al., 2009). To this end, a high testosterone level during development has been postulated as a risk factor for ASD (Baron-Cohen et al., 2011). Differences in synaptic composition and regional cerebral plasticity between the sexes were also proposed to account for the sex bias in ASD (Mottron et al., 2015).

SHANK proteins (SHANK1, SHANK2 and SHANK3) are scaffolding proteins at the postsynaptic site of excitatory synapses in the central nervous system (Kreienkamp, 2008), crucial for the formation, organization and signaling of excitatory synapses. SHANK gene variants have been associated with ASD, intellectual disability and schizophrenia (Leblond et al., 2014; Eltokhi et al., 2018).

To identify a putative regulatory role of sex hormones on SHANK expression, we first treated a human neuroblastoma cell line, SH-SY5Y, with dihydrotestosterone (DHT) or 17β-estradiol and quantified SHANK gene expression. In addition, Shank gene expression was evaluated pre- and postnatally in the cortex of mice lacking the androgen receptor (Ar) in neurons (ArNesCre mice). Moreover, we examined Shank gene and protein expression in the cortex of male and female wild-type (WT) CD1 mice at two different early developmental stages.

Materials and Methods

Animals

Mice were housed in the Interfacultary Biomedical Facility at the Heidelberg University (IBF), under a 12 h light-dark cycle and given ad libitum access to water and food. All procedures were conducted in strict compliance with the National Institutes of Health Guidelines for the Care and Use of Laboratory Animals and approved by the German Animal Welfare Act and performed according to the regulations of animal experimentation within Heidelberg University and the European Union (European Communities Council Directive 2010/63/EU (local license number: T-03/16, T-24/14)). CD1 (ICR) mice (Charles River) were used for sex-specific expression analyses at different developmental stages (n = 16 animals of each sex). The embryonic stage was calculated by vaginal plug check and by controlling the morphological parameters which accord to the respective Theiler stage. The day of birth was considered as postnatal day (P) 0.5. Sex genotyping was performed by PCR detection of the male-specific Sry gene on tail biopsies. Neuron-specific Ar knock-out mice (ArNesCre) were generated by crossing female homozygous floxed Ar (Arflox) mice (B6N.129-Artm1Verh/Cnrm; De Gendt et al., 2004) with male Nestin-Cre deleter mice (Tg(Nes-cre)1Kln; MGI:2176173; Tronche et al., 1999) hemizygous for the floxed Ar allele. Arflox mice were obtained from the European Mouse Mutant Archive (EMMA, #02579) which had been backcrossed into the C57Bl/6N background for over 12 generations prior to the arrival at the IBF animal facility, as published previously (Fröhlich et al., 2017). Adult mice were sacrificed using CO2 and early postnatal animals were decapitated, then the frontal part of the cortex was dissected for further analysis.

Cre induced site-specific recombination was checked on cortical cDNA from E17.5 and P7.5 WT and ArNesCre brains by qPCR using a specific reverse primer residing in the floxed exon 2 to determine exon 2 deletion. Primer sequences are given in Supplementary Table S1.

Cell Culture

Human neuroblastoma cells (SH-SY5Y) were grown on 75 cm flasks in Dulbecco’s modified Eagle medium (DMEM, Thermo Fisher Scientific), supplemented with 15% fetal calf serum, 1% non-essential amino acids and 1% Penicillin-streptomycin at 37°C in a humidified environment with 5% CO2. Cells were split at 80%–90% confluency and 8 × 105 cells were plated per well on a 6-well cell culture plate in phenol red-free DMEM (Thermo Fisher Scientific) containing 1% charcoal dextran-treated calf serum for 24 h. Cells were treated either with 100 nM DHT (dissolved in methanol; Sigma-D-073-1ML), mock (100% methanol with the same dilution factor as DHT), 100 nM DHT combined with 1 μM flutamide (Sigma-F9397) or mock together with flutamide. To investigate the effect of 17β-estradiol, cells were treated either with 100 nM 17β-estradiol dissolved in 100% ethanol (Sigma-E8875), mock (100% ethanol with the same dilution factor as 17β-estradiol), 100 nM 17β-estradiol combined with 100 nM MPP (1,3-Bis(4-hydroxyphenyl)-4-methyl-5-[4-(2-piperidinylethoxy)phenol]-1H-pyrazole-dihydrochloride; Sigma-M7068), mock together with MPP, 100 nM 17β-estradiol plus 100 nM PHTPP (4-[2-Phenyl-5, 7-bis(trifluoromethyl)pyrazolo[1,5-a]pyrimidin-3-yl]phenol; Tocris-2662), mock plus PHTPP, 100 nM 17β-estradiol plus both MPP and PHTPP or mock plus both MPP and PHTPP. Cells were harvested after 4 h of treatment for mRNA and after 48 h for protein analyses.

Quantitative Real Time PCR (qPCR)

Total RNA from SH-SY5Y cells (five experiments with six biological replicates for each condition), CD1 and ArNesCre mouse cortices at E17.5 and P7.5 was extracted with TRIzol (Invitrogen) according to the manufacturer’s instructions. Reverse transcription was performed using the SuperScript™ VILO™ cDNA Synthesis Kit (Invitrogen). Quantitative PCR was conducted using the SYBR Green Lo-Rox Fast Mix (Bioline) and the ABI 7,500 Fast Real-Time PCR system (Applied Biosystems). Each sample was analyzed in triplicates. Relative mRNA levels were assessed using the relative standard curve method by normalization to the following reference RNAs: ribosomal 18S RNA, glyceraldehyde 3-phosphate dehydrogenase (GAPDH) mRNA, heat shock protein family D (HSP60) member1 (HSPD1) mRNA, succinate dehydrogenase complex subunit A mRNA (SDHA) and hypoxanthine phosphoribosyltransferase 1 mRNA (HPRT1). For the SH-SY5Y cell treatment with 17β-estradiol, only 18S, HSPD1 and SDHA were used as reference mRNAs, as Gapdh and Hprt1 mRNA levels were influenced by estradiol (Schroder et al., 2009). Our analysis confirmed their differential expression in SH-SY5Y cells after 17β-estradiol treatment when normalized to 18S (Supplementary Table S2A). The relative expression values for mock treatment were set to 1. Calculated values are presented as normalized relative expression ratios. The sequences for the oligonucleotides used are given in Supplementary Table S1.

Protein Analysis

Immunefluorescence microscopy was carried out on fixed SH-SY5Y cells using the primary antibodies anti-Ar (Abcam, ab74272, 1:100 dilution) and anti-estrogen receptor α (Abcam, ab661002, 1:100 dilution), and as secondary antibodies Alexa fluor 488 goat anti-rabbit or Alexa fluor 488 goat anti-mouse (Thermo Fisher Scientific, 1:1,000 dilution).

Protein extraction from SH-SY5Y cells and from mouse frontal cortex (using the Polytron PT1200E, Kinematica AG) was performed at 4°C using RIPA buffer supplemented with SIGMAFAST protease inhibitor (S8820; Sigma). Protein concentrations were determined with the BCA protein assay kit (Pierce). Western blot analysis was executed using the Odyssey Infrared Imaging System (LI-COR Biosciences). Twenty microgram of proteins were separated on Novex WedgeWell 4%–12% Tris Glycine Gels (Thermo Fisher Scientific) and transferred to PVDF membrane (Millipore). PVDF membranes were probed with mouse anti-pan-SHANK (1:500; Neuromab), mouse monoclonal β3-tubulin (1:20,000; Promega-G7121), anti-SHANK1 (Synaptic Systems, polyclonal rabbit purified antibody, 1:500 dilution), anti-SHANK2 (Synaptic Systems, polyclonal guinea pig antiserum, 1:500 dilution), anti-SHANK3 (ab140030, Abcam, 1:1,000 dilution). IRDye 800CW donkey anti-mouse, IRDye 680LT donkey anti-guinea pig or IRDye 680RD donkey anti-rabbit (1:15,000 dilution; LI-COR Biosciences) immuno-positive signals were quantified using the Image Studio Lite 3.1 software (LI-COR Biosciences). The Page Ruler Prestained Protein ladder (10–180 kDa) and the Spectra Multicolor High Range Protein ladder (40–300 kDa; Thermo Fisher Scientific) were used as protein size marker. Shank expression was normalized to the amount of β3-tubulin and the values obtained for the male cortices were set to 1.

nCounter Analysis

Total RNA from conditional ArNesCre mouse brain cortex was extracted with TRIzol (Invitrogen) and the gene expression profile was investigated by nCounter expression analysis at the nCounter Core Facility Heidelberg, using the nCounter Dx analysis system GEN1 (NanoString Technologies). A customized Elements codeset with seven target genes and four reference genes was applied. (For probe design see Supplementary Table S3). The detailed workflow is described at https://www.nanostring.com/support/product-support/support-workflow. Background correction and normalization of data were performed using the nSolver Analysis Software 3.0 (NanoString Technologies). A positive control and reference gene normalization was performed according to the Gene expression analysis guideline from NanoString Technologies1. The most stable expressed genes Gapdh, Hspd1, Sdha and Hprt1 were selected for normalization based on the geNorm method (Vandesompele et al., 2002). The unit of measurement is given in “codeset counts” and the codeset counts of the WT animals were set to 100%. The absolute numbers are provided in Supplementary Table S4.

Statistical Analysis

IBM SPSS STATISTICS 21, Prism 6 software (GraphPad Software) and Microsoft Office Excel software were used for data analysis. Two-way ANOVA was performed for comparing RNA expression levels between hormone-treated and mock-treated SH-SY5Y cells with treatment and experiment as the two factors. To compare gene expression levels between male and female cortices, two-way ANOVA was used with litter and sex as influencing factors. According to Bonferroni correction for multiple testing, a P-value threshold of ≤ 0.01 was considered significant (n = 5 different tests). For the expression analysis in the conditional ArNesCre mouse to compare differences between the WT and the knock-out mice and for the quantification of the Shank protein in male and female cortices in the western blot experiments, an unpaired two-tailed Student’s t-test was used, with a P-value of ≤ 0.05 considered as nominal significant. All data are presented as mean values ± standard error of the mean (SEM).

Results

SHANK Expression in Human Cells Treated With Dihydrotestosterone and 17β-Estradiol

To receive a first indication whether androgen has an effect on SHANK gene expression, we employed a human neuroblastoma cell model (SH-SY5Y). SH-SY5Y cells express all three SHANKs, as well as the androgen, estrogen α and β receptors (AR, ERα and ERβ; Chamniansawat and Chongthammakun, 2009, 2010; Sarachana et al., 2011; Grassi et al., 2013; Sarachana and Hu, 2013). The expression of AR and ERα in the SH-SY5Y cells is shown in Supplementary Figure S1A. After stimulation with DHT for 2 h, the overall expression of AR increased in the cells. Stimulation with 17 β-estradiol did not increase the expression level of ERα, but more protein was found in the nucleus (Supplementary Figure S1A).

To determine a regulatory influence on SHANK gene expression, we treated SH-SY5Y cells with the androgen DHT at different concentrations (1 nM, 10 nM and 100 nM; Supplementary Figure S1B). Based on the literature, DHT concentrations between 1 nM and 100 nM are considered to be within the physiological range and have been used in similar studies (Sarachana et al., 2011; Grassi et al., 2013). The strongest effects on SHANK expression were obtained by treatment with 100 nM for 4 h. SHANK gene expression was measured by qPCR and normalized to five androgen-independent reference RNAs: the ribosomal 18S RNA, the mRNAs for glyceraldehyde 3-phosphate dehydrogenase (GAPDH), the heat shock protein family D (HSP60) member1 (HSPD1), the succinate dehydrogenase complex subunit A mRNA (SDHA) and hypoxanthine phosphoribosyltransferase 1 mRNA (HPRT1). The androgen independance of the reference genes was shown by the unchanged levels of GAPDH, HPRT1, HSPD1 and SDHA normalized to 18S in DHT and mock-treated SH-SY5Y cells (Supplementary Table S2A). PSD95, a gene known to be regulated by sex hormones (Akama and McEwen, 2003; Liu et al., 2008), and the X-chromosomal gene MECP2, which shows a transient sex-specific expression difference in the developing rat brain (Kurian et al., 2007), were included as additional markers in the expression analysis.

Our mRNA expression analysis showed that the DHT treatment significantly elevated the expression of all three SHANK genes by about 35% (P-values ≤ 0.001), compared to mock-treated SH-SY5Y cells (Figure 1A). Expression levels of MECP2 were not influenced, whereas PSD95 expression was significantly increased after DHT treatment (Figure 1A). The regulatory effect of DHT on SHANK gene expression could also be detected by an increased SHANK immuno-signal in western blots using an anti-pan-SHANK antibody and an anti-SHANK3 antibody (Figure 1B, Supplementary Figures S1C,D). When the SH-SY5Y cells were treated with DHT combined with the anti-androgen flutamide, the regulatory effect of DHT on SHANK and PSD95 mRNA levels was completely abolished and as shown with a pan-Shank antibody also on the protein level, demonstrating that the increased SHANK and PSD95 levels after DHT treatment are mediated by the stimulation of the AR (Figures 1A,B).

FIGURE 1
www.frontiersin.org

Figure 1. Effect of dihydrotestosterone (DHT) on SHANK gene expression in SH-SY5Y cells. (A) Quantification of SHANK, MECP2 and PSD95 gene expression by qPCR after 4 h of treatment with either 100 nM DHT or a combination of 100 nM DHT and 1 μM flutamide (n = 5 experiments with six biological replicates for each condition). Gene expression was normalized against five reference genes (18S, GAPDH, HPRT1, HSPD1 and SDHA; two-way ANOVA, ***P ≤ 0.001, vs. mock). Bonferroni threshold: n = 5 tests, P ≤ 0.01. (B) An increase of SHANK protein levels by 50% was identified after 48 h of 100 nM DHT treatment by western blot analysis, whereas no difference was determined after 48 h of treatment with DHT combined with flutamide (n = 5 experiments, unpaired two-tailed Student’s t-tests, *P ≤ 0.05). Error bars indicate standard error of the mean (SEM).

To elucidate if estrogens also regulate SHANK gene expression, 100 nM 17β-estradiol was used to stimulate the estrogen receptors in SH-SY5Y cells. After 17β-estradiol treatment for 4 h, a minor enhancement of SHANK, MECP2 and PSD95 expression could be observed. Now we restricted the normalization against reference gene expression of 18S, HSPD1 and SDHA, since GAPDH and HPRT1 expression was affected by 17β-estradiol (Supplementary Table S2A). Our quantification revealed an increase of 15% mRNA expression for SHANK, PSD95 and MECP2, when compared to mock-treated SH-SY5Y cells (P-value for SHANK1 = 0.02; P-values for SHANK2, SHANK3, MECP2 and PSD95 ≤ 0.001; Figure 2). However, a regulatory influence on SHANK protein expression could not be detected in immunoblots (Supplementary Figure S1E). By blocking the ERα or ERβ receptor subtypes with the selective ERα antagonist MPP or ERβ antagonist PHTPP, the effect of 17β-estradiol on SHANK expression by MPP was gone, whereas the blocking of ERβ with the antagonist PHTPP abrogated the effect on SHANK and PSD95 expression (Figure 2). The combined blocking of both ERs antagonized the 17β-estradiol-stimulated expression of SHANK, PSD95 and MECP2 (Figure 2). Thus, besides AR, also ERα and ERβ signaling contributes to the expression of SHANK genes in the human SH-SY5Y cell line.

FIGURE 2
www.frontiersin.org

Figure 2. Effect of 17β-estradiol on SHANK gene expression in SH-SY5Y cells. Gene expression analysis of SHANK, MECP2 and PSD95 after 4 h of treatment with 100 nM 17β-estradiol. The expression was also analyzed after stimulation with 100 nM 17β-estradiol in combination with a selective blocking of estrogen receptor α (100 nM MPP), estrogen receptor β (100 nM PHTPP) or a combination of both (n = 5 experiments with six biological replicates for each condition). Gene expression was normalized against three reference genes (18S, HSPD1 and SDHA). Error bars indicate SEM (two-way ANOVA, *P ≤ 0.05, **P ≤ 0.01, ***P ≤ 0.001, vs. mock-treatment control). Bonferroni correction: n = 5 tests, P ≤ 0.01.

Expression Analysis of Shank Genes in Neuron-Specific Conditional Androgen Receptor Knock-out Mice (ArNesCre)

To provide in vivo evidence for the Ar regulatory influence on Shank gene expression during neurodevelopment, we used a neuron-specific Ar knock-out mouse (ArNesCre; Fröhlich et al., 2017). We analyzed Shank mRNA expression in the cortex of ArNesCre mice at two developmental stages, E17.5 and P7.5 (Figure 3, Supplementary Figure S2A). In this critical period of brain development, sex differences in the spatiotemporal expression of Ar, Erα and Erβ in mouse brain as well as differences in testosterone levels were previously reported (Mogi et al., 2015). Furthermore, it is known that in the human cortex, size and sex hormone levels differ between males and females (Lombardo et al., 2012; Lai et al., 2013). By nCounter analysis, we identified a reduced mRNA expression of all three Shanks and Mecp2 in the ArNesCre mice compared to WT at P7.5 with nominal significance (Figure 3), supporting the contribution of Ar signaling in the specific regulation of the Shank gene expression during development.

FIGURE 3
www.frontiersin.org

Figure 3. Comparative Shank gene expression analysis by nCounter in the cortex of wild-type (WT) and ArNesCre mice. (Left) Loss of androgen receptor (Ar) expression in cortical neurons was confirmed by qPCR. The deletion of Ar-exon2 was shown on mRNA level in cortical tissue. (Right) Gene expression analysis in cortex of WT and ArNesCre mice at P7.5. The loss of Ar resulted in a decreased expression of the Shank and Mecp2 genes (n = 7 WT and seven KO mice, two male and five female animals in each group). The analysis could not be stratified by sex due to low numbers. Gene expression was normalized against four reference genes (Gapdh, Hprt1, Hspd1 and Sdha). Error bars indicate SEM (unpaired two-tailed Student’s t-tests, *P ≤ 0.05; ***P ≤ 0.001).

Expression Analysis of the Shank Genes and Proteins in the Male and Female Mouse Cortex

Further support for a sex-specific regulation of Shank expression could be provided by comparing the expression levels in the frontal cortices of male and female CD1 WT mice at two different developmental stages, E17.5 and P7.5. The sex-independent expression of the reference genes was confirmed by showing equal levels of Gapdh, Sdha, Hprt1 and Hspd1 expression, normalized to 18s, in male and female mice cortices (Supplementary Table S2B). In the comparative qPCR analysis, significantly elevated Shank1, Shank3 and Mecp2 expression levels could be detected in the cortices of female compared to the male mice at E17.5 (Supplementary Figure S2B). At P7.5, our analysis revealed elevated Shank1 mRNA expression in the female cortex with nominal significance, as well as significantly elevated Psd95 expression (Supplementary Figure S2B). Then we analyzed Shank protein expression in whole protein lysate from the frontal cortex of male and female mice at E17.5 and P7.5 by western blot. In contrast to the mRNA expression analysis, we found significantly higher expression levels for all three Shank proteins in the male compared to female cortices at both developmental stages. Shank expression is decreased in females by 50%–77% at E17.5 (Figure 4A) and by 43%–47% at P7.5 (Figure 4B), indicating that Shank expression differences are more pronounced at the earlier stage of E17.5.

FIGURE 4
www.frontiersin.org

Figure 4. Shank protein analysis in the male and female mouse cortex. Levels of Shank1, Shank2 and Shank3 protein in the frontal cortex of male and female at E17.5 (A) and P7.5 (B); (n = 4 of each sex), *P < 0.05, unpaired two-tailed Student’s t-tests. Isoform expression differences were observed between the two developmental stages for Shank3.

Discussion

Males show higher prenatal and postnatal testosterone levels than females (Baron-Cohen, 2002; Werling, 2016). Elevated prenatal exposure to testosterone and /or irregular steroidogenic activity have been postulated to be associated with elevated ASD risk (Auyeung et al., 2009). Testosterone is metabolized in the brain into DHT or converted into estradiol by the enzyme aromatase (CYP19A1). Therefore, we have investigated the influence of both hormones on the expression of the SHANK genes, which are strongly linked to ASD pathology (Leblond et al., 2014). We could show in the SH-SY5Y neuroblastoma cell line, a widely used neuronal cell model to investigate hormonal influences of androgens and estrogens (Sarachana et al., 2011; Grassi et al., 2013; Nakaso et al., 2014; Sun et al., 2017), that the effect of DHT and 17β-estradiol on the expression of all three Shanks could be effectively blocked by androgen and estrogen receptor antagonists. SHANK gene expression was shown to be regulated by DHT, directly modulated by AR signaling. DHT increased SHANK mRNA levels by 35% and 17β-estradiol increased SHANK mRNA levels by 15%, suggesting a role as transcriptional fine-tuners. Protein levels were found to be increased by DHT treatment by 50%, indicating that the major effect is seen at the level of translation.

More direct evidence for the contribution of AR signaling on the regulation of SHANK gene expression could be demonstrated by the analysis of mice with Ar gene deletion in neurons (ArNesCre). ArNesCre mice show reduced sexual, territorial and aggressive behavior (Raskin et al., 2009; Studer et al., 2015). Male ArNesCre mice lack social memory when presented to male conspecifics but do not show ASD-like impairments in social interactions with other mice (Karlsson et al., 2016). We found that in absence of the Ar in neurons, the expression of all three Shanks was reduced and reached nominal significance, supporting the role of Ar activity in the regulation of Shank expression during brain development. Previous data has shown that Ar and Shank genes have overlapping expression patterns in the cortex, striatum and hippocampus (Lein et al., 2007; Fröhlich et al., 2017; Monteiro and Feng, 2017). Androgen- and estrogen-dependent gene regulation has also been described for genes involved in the function of glutamatergic synapses in the medial preoptic area and the ventromedial hypothalamus of rats, after exposure to anti-androgenic and/or estrogenic treatment or a combination of both in utero (Lichtensteiger et al., 2015). In that study, Shank1 and Shank2 expression was altered in young male rats and Shank2 and Shank3 in female animals at P6, hereby providing additional in vivo evidence of a sex hormone regulation of Shank gene expression in specific brain regions.

Palindromic and dihexameric motifs of androgen responsive elements were described in the promoters or enhancers of all three SHANK genes: half and full sites in SHANK2 and half sites in SHANK1 and SHANK3 (Wilson et al., 2016). An AR-binding site was also recently identified in an intron and in the distant promoter region of SHANK2 by ChIP-Seq (Quartier et al., 2018). These results point to a direct regulatory influence of DHT on SHANK2. In a different study, direct and indirect interaction partners of SHANKs, such as PSD-95 and the AMPA receptor subunits GluA1 and GluA2, were reported to be androgen-responsive (Trabzuni et al., 2013), suggesting that synergistic effects at the synapse between multiple proteins strengthen the individual effects.

Despite the fact that Shank1 mRNA expression levels are lower in male mice at P7.5, we could show that protein levels of all Shanks are higher in males during late prenatal and early postnatal cortical development in WT mice (E17.5 and P7.5). The RNA level does not always correlate with protein levels, especially for proteins with a long half-life or in cases of negative feed-back when the increase in protein level decreases the expression of RNA. In a previous study on genome-wide scale, it was also found that the cellular abundance of protein is predominantly controlled at the level of translation (Schwanhausser et al., 2011). Between E17.5 and P7.5, Ar expression and testosterone level differ between male and female mice (Mogi et al., 2015). Male mice have about three times higher blood testosterone levels than female embryos at E17 (Vom Saal, 1983) and show significantly higher testosterone levels in the brain (ICR/CD1 strain) at E19 (Mogi et al., 2015). The finding that DHT increases SHANK mRNA and protein expression in SH-SY5Y cells, suggests that high levels of testosterone in the male brain may result in elevated SHANK protein expression. The discrepancy between high protein and low mRNA levels in CD1 mice might be caused by negative feedback mechanisms, suggesting that high Shank protein levels lead to lower Shank mRNA levels. However, SH-SY5Y cells may not entirely reflect the regulatory potential of testosterone signaling in cortical neurons, which are a heterogeneous population of cells that may respond individually differently to DHT. Therefore, the data obtained from established cell lines need to be verified in the living mouse.

In mice, the perinatal developmental period between E17 and P7.5 might be a vulnerable time window for Shank expression when sex differences in the cortex might intersect with ASD etiological pathways. Physiologically higher SHANK protein expression levels in males compared to females implicate that genetic variants may have a higher penetrance in males, leading to a larger proportion of males with a diagnosis of ASD. Clinical studies reported elevated androgen levels in ASD-affected individuals (Baron-Cohen, 2002; Werling, 2016). Our results imply that Shank expression may be increased in these individuals, at least during the developmental vulnerable stages. In contrast, most ASD individuals have been identified with SHANK deletions and various point mutations, indicating that SHANK levels are very likely reduced in these ASD individuals. Nevertheless, it cannot be excluded that a general dysregulation of SHANK gene expression contributes to ASD pathology, as SHANK3 gene duplications have also been identified in individuals with Asperger syndrome (Durand et al., 2007).

SHANK genes reside on autosomes, and SHANK variants are randomly distributed across male and female subjects. So far, only copy number variant (CNV) deletions encompassing the SHANK1 gene segregated in male carriers with high-functioning autism and showed a clearly reduced penetrance in female individuals (Sato et al., 2012) and some SHANK variants have been found in male autistic patients that were inherited from healthy mothers (for a recent review see (Eltokhi et al., 2018)).

Sex differences in gene expression were previously studied in prenatal and adult neocortical tissue of human post-mortem brain (Trabzuni et al., 2013; Werling et al., 2016). Only a small proportion of the analyzed genes, however, were found to be expressed in a sex-specific manner (96 prenatal, 58 adult; Werling et al., 2016). No evidence was obtained for sex-differential expression of the SHANKs or other ASD-associated genes like RORA and FOXP1 (Sarachana et al., 2011; Takayama et al., 2014; Fröhlich et al., 2017). However, in those studies, the analyzed cortical samples were from prenatal (16–22 weeks) or adult samples and did not match with the investigated developmental stages used in our study, suggesting that the days shortly before or after birth are sensitive for sex hormone-regulated SHANK/Shank expression.

Together, we found that the expression of the ASD-associated SHANK gene family is upregulated by DHT in SH-SY5Y cells and that in mice all three Shanks showed elevated protein expression levels in males during late prenatal and early postnatal cortical development, that most likely are facilitated by high testosterone levels of males during these developmental time windows. Our results provide novel insights in the understanding of the sex bias in ASD.

Author Contributions

GR and SB designed the study. SB performed the mouse experiments and protein analysis. AE performed the cell culture experiments and mRNA expression analysis. HF and RR generated the ArNesCre mouse line and provided tissue. DP-G contributed to the cell culture and mouse experiments. SB and AE performed the data analysis. SB, AE, GR, HF and RS contributed to the data interpretation. SB, AE and GR wrote the manuscript. All authors contributed to and reviewed the final manuscript.

Funding

This study was supported by the Medical Faculty of the Ruprecht-Karls-University Heidelberg. SB was supported by a Frontier grant (ZUK49/Ü5.2.183) and by the Medical Faculty of the Ruprecht-Karls-University Heidelberg. AE received support from an HBIGS PhD fellowship, RR from a DAAD scholarship and RS from the Ingeborg Ständer Foundation.

Conflict of Interest Statement

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Acknowledgments

We thank the nCounter Core Facility Heidelberg at the Institute of Human Genetics for providing nCounter-related services and Christine Fischer for statistical advice.

Footnotes

  1. ^ https://www.nanostring.com/application/files/7715/1251/5220/Gene_Expression_Data_Analysis_Guidelines.pdf; accessed June 2018

Supplementary Material

The Supplementary Material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fnmol.2018.00337/full#supplementary-material

References

Akama, K. T., and McEwen, B. S. (2003). Estrogen stimulates postsynaptic density-95 rapid protein synthesis via the Akt/protein kinase B pathway. J. Neurosci. 23, 2333–2339. doi: 10.1523/JNEUROSCI.23-06-02333.2003

PubMed Abstract | CrossRef Full Text | Google Scholar

Auyeung, B., Baron-Cohen, S., Ashwin, E., Knickmeyer, R., Taylor, K., and Hackett, G. (2009). Fetal testosterone and autistic traits. Br. J. Psychol. 100, 1–22. doi: 10.1348/000712608X311731

PubMed Abstract | CrossRef Full Text | Google Scholar

Bailey, A., Le Couteur, A., Gottesman, I., Bolton, P., Simonoff, E., Yuzda, E., et al. (1995). Autism as a strongly genetic disorder: evidence from a British twin study. Psychol. Med. 25, 63–77. doi: 10.1017/s0033291700028099

PubMed Abstract | CrossRef Full Text | Google Scholar

Bargiela, S., Steward, R., and Mandy, W. (2016). The experiences of late-diagnosed women with autism spectrum conditions: an investigation of the female autism phenotype. J. Autism Dev. Disord. 46, 3281–3294. doi: 10.1007/s10803-016-2872-8

PubMed Abstract | CrossRef Full Text | Google Scholar

Baron-Cohen, S. (2002). The extreme male brain theory of autism. Trends Cogn. Sci. 6, 248–254. doi: 10.1016/s1364-6613(02)01904-6

PubMed Abstract | CrossRef Full Text | Google Scholar

Baron-Cohen, S., Lombardo, M. V., Auyeung, B., Ashwin, E., Chakrabarti, B., and Knickmeyer, R. (2011). Why are autism spectrum conditions more prevalent in males? PLoS Biol. 9:e1001081. doi: 10.1371/journal.pbio.1001081

PubMed Abstract | CrossRef Full Text | Google Scholar

Beyer, C. (1999). Estrogen and the developing mammalian brain. Anat. Embryol. 199, 379–390. doi: 10.1007/s004290050236

PubMed Abstract | CrossRef Full Text | Google Scholar

Chamniansawat, S., and Chongthammakun, S. (2009). Estrogen stimulates activity-regulated cytoskeleton associated protein (Arc) expression via the MAPK- and PI-3K-dependent pathways in SH-SY5Y cells. Neurosci. Lett. 452, 130–135. doi: 10.1016/j.neulet.2009.01.010

PubMed Abstract | CrossRef Full Text | Google Scholar

Chamniansawat, S., and Chongthammakun, S. (2010). Genomic and non-genomic actions of estrogen on synaptic plasticity in SH-SY5Y cells. Neurosci. Lett. 470, 49–54. doi: 10.1016/j.neulet.2009.12.053

PubMed Abstract | CrossRef Full Text | Google Scholar

De Gendt, K., Swinnen, J. V., Saunders, P. T., Schoonjans, L., Dewerchin, M., Devos, A., et al. (2004). A sertoli cell-selective knock-out of the androgen receptor causes spermatogenic arrest in meiosis. Proc. Natl. Acad. Sci. U S A 101, 1327–1332. doi: 10.1073/pnas.0308114100

PubMed Abstract | CrossRef Full Text | Google Scholar

Developmental Disabilities Monitoring Network Surveillance Year 2010 Principal Investigators, Centers for Disease Control and Prevention (CDC). (2014). Prevalence of autism spectrum disorder among children aged 8 years—autism and developmental disabilities monitoring network, 11 sites, United States, 2010. MMWR Surveill. Summ. 63, 1–21.

PubMed Abstract | Google Scholar

Durand, C. M., Betancur, C., Boeckers, T. M., Bockmann, J., Chaste, P., Fauchereau, F., et al. (2007). Mutations in the gene encoding the synaptic scaffolding protein SHANK3 are associated with autism spectrum disorders. Nat. Genet. 39, 25–27. doi: 10.1038/ng1933

PubMed Abstract | CrossRef Full Text | Google Scholar

Eltokhi, A., Rappold, G., and Sprengel, R. (2018). Distinct phenotypes of Shank2 mouse models reflect neuropsychiatric spectrum disorders of human patients with SHANK2 variants. Front. Mol. Neurosci. 11:240. doi: 10.3389/fnmol.2018.00240

PubMed Abstract | CrossRef Full Text | Google Scholar

Fombonne, E. (2009). Epidemiology of pervasive developmental disorders. Pediatr. Res. 65, 591–598. doi: 10.1203/PDR.0b013e31819e7203

PubMed Abstract | CrossRef Full Text | Google Scholar

Fröhlich, H., Rafiullah, R., Schmitt, N., Abele, S., and Rappold, G. A. (2017). Foxp1 expression is essential for sex-specific murine neonatal ultrasonic vocalization. Hum. Mol. Genet. 26, 1511–1521. doi: 10.1093/hmg/ddx055

PubMed Abstract | CrossRef Full Text | Google Scholar

Gillberg, C., Cederlund, M., Lamberg, K., and Zeijlon, L. (2006). Brief report: “the autism epidemic”. The registered prevalence of autism in a Swedish urban area. J. Autism Dev. Disord. 36, 429–435. doi: 10.1007/s10803-006-0081-6

PubMed Abstract | CrossRef Full Text | Google Scholar

Grassi, D., Bellini, M. J., Acaz-Fonseca, E., Panzica, G., and Garcia-Segura, L. M. (2013). Estradiol and testosterone regulate arginine-vasopressin expression in SH-SY5Y human female neuroblastoma cells through estrogen receptors-α and -β. Endocrinology 154, 2092–2100. doi: 10.1210/en.2012-2137

PubMed Abstract | CrossRef Full Text | Google Scholar

Karlsson, S. A., Studer, E., Kettunen, P., and Westberg, L. (2016). Neural androgen receptors modulate gene expression and social recognition but not social investigation. Front. Behav. Neurosci. 10:41. doi: 10.3389/fnbeh.2016.00041

PubMed Abstract | CrossRef Full Text | Google Scholar

Kreienkamp, H. J. (2008). Scaffolding proteins at the postsynaptic density: shank as the architectural framework. Handb. Exp. Pharmacol. 186, 365–380. doi: 10.1007/978-3-540-72843-6_15

PubMed Abstract | CrossRef Full Text | Google Scholar

Kurian, J. R., Forbes-Lorman, R. M., and Auger, A. P. (2007). Sex difference in mecp2 expression during a critical period of rat brain development. Epigenetics 2, 173–178. doi: 10.4161/epi.2.3.4841

PubMed Abstract | CrossRef Full Text | Google Scholar

Lai, M. C., Lombardo, M. V., Suckling, J., Ruigrok, A. N., Chakrabarti, B., Ecker, C., et al. (2013). Biological sex affects the neurobiology of autism. Brain 136, 2799–2815. doi: 10.1093/brain/awt216

PubMed Abstract | CrossRef Full Text | Google Scholar

Leblond, C. S., Nava, C., Polge, A., Gauthier, J., Huguet, G., Lumbroso, S., et al. (2014). Meta-analysis of SHANK Mutations in Autism Spectrum Disorders: a gradient of severity in cognitive impairments. PLoS Genet. 10:e1004580. doi: 10.1371/journal.pgen.1004580

PubMed Abstract | CrossRef Full Text | Google Scholar

Lein, E. S., Hawrylycz, M. J., Ao, N., Ayres, M., Bensinger, A., Bernard, A., et al. (2007). Genome-wide atlas of gene expression in the adult mouse brain. Nature 445, 168–176. doi: 10.1038/nature05453

PubMed Abstract | CrossRef Full Text | Google Scholar

Lichtensteiger, W., Bassetti-Gaille, C., Faass, O., Axelstad, M., Boberg, J., Christiansen, S., et al. (2015). Differential gene expression patterns in developing sexually dimorphic rat brain regions exposed to antiandrogenic, estrogenic, or complex endocrine disruptor mixtures: glutamatergic synapses as target. Endocrinology 156, 1477–1493. doi: 10.1210/en.2014-1504

PubMed Abstract | CrossRef Full Text | Google Scholar

Liu, F., Day, M., Muñiz, L. C., Bitran, D., Arias, R., Revilla-Sanchez, R., et al. (2008). Activation of estrogen receptor-β regulates hippocampal synaptic plasticity and improves memory. Nat. Neurosci. 11, 334–343. doi: 10.1038/nn2057

PubMed Abstract | CrossRef Full Text | Google Scholar

Lombardo, M. V., Ashwin, E., Auyeung, B., Chakrabarti, B., Taylor, K., Hackett, G., et al. (2012). Fetal testosterone influences sexually dimorphic gray matter in the human brain. J. Neurosci. 32, 674–680. doi: 10.1523/JNEUROSCI.4389-11.2012

PubMed Abstract | CrossRef Full Text | Google Scholar

Mogi, K., Takanashi, H., Nagasawa, M., and Kikusui, T. (2015). Sex differences in spatiotemporal expression of AR, ERα and ERβ mRNA in the perinatal mouse brain. Neurosci. Lett. 584, 88–92. doi: 10.1016/j.neulet.2014.10.028

PubMed Abstract | CrossRef Full Text | Google Scholar

Monteiro, P., and Feng, G. (2017). SHANK proteins: roles at the synapse and in autism spectrum disorder. Nat. Rev. Neurosci. 18, 147–157. doi: 10.1038/nrn.2016.183

PubMed Abstract | CrossRef Full Text | Google Scholar

Mottron, L., Duret, P., Mueller, S., Moore, R. D., Forgeot, R. D., Jacquemont, S., et al. (2015). Sex differences in brain plasticity: a new hypothesis for sex ratio bias in autism. Mol. Autism 6:33. doi: 10.1186/s13229-015-0024-1

PubMed Abstract | CrossRef Full Text | Google Scholar

Nakaso, K., Tajima, N., Horikoshi, Y., Nakasone, M., Hanaki, T., Kamizaki, K., et al. (2014). The estrogen receptor β-PI3K/Akt pathway mediates the cytoprotective effects of tocotrienol in a cellular Parkinson’s disease model. Biochim. Biophys. Acta 1842, 1303–1312. doi: 10.1016/j.bbadis.2014.04.008

PubMed Abstract | CrossRef Full Text | Google Scholar

Quartier, A., Chatrousse, L., Redin, C., Keime, C., Haumesser, N., Maglott-Roth, A., et al. (2018). Genes and pathways regulated by androgens in human neural cells, potential candidates for the male excess in autism spectrum disorder. Biol. Psychiatry 84, 239–252. doi: 10.1016/j.biopsych.2018.01.002

PubMed Abstract | CrossRef Full Text | Google Scholar

Rabaneda, L. G., Robles-Lanuza, E., Nieto-González, J. L., and Scholl, F. G. (2014). Neurexin dysfunction in adult neurons results in autistic-like behavior in mice. Cell Rep. 8, 338–346. doi: 10.1016/j.celrep.2014.06.022

PubMed Abstract | CrossRef Full Text | Google Scholar

Raskin, K., de Gendt, K., Duittoz, A., Liere, P., Verhoeven, G., Tronche, F., et al. (2009). Conditional inactivation of androgen receptor gene in the nervous system: effects on male behavioral and neuroendocrine responses. J. Neurosci. 29, 4461–4470. doi: 10.1523/JNEUROSCI.0296-09.2009

PubMed Abstract | CrossRef Full Text | Google Scholar

Sarachana, T., and Hu, V. W. (2013). Differential recruitment of coregulators to the RORA promoter adds another layer of complexity to gene (dys) regulation by sex hormones in autism. Mol. Autism 4:39. doi: 10.1186/2040-2392-4-39

PubMed Abstract | CrossRef Full Text | Google Scholar

Sarachana, T., Xu, M., Wu, R. C., and Hu, V. W. (2011). Sex hormones in autism: androgens and estrogens differentially and reciprocally regulate RORA, a novel candidate gene for autism. PLoS One 6:e17116. doi: 10.1371/journal.pone.0017116

PubMed Abstract | CrossRef Full Text | Google Scholar

Sato, D., Lionel, A. C., Leblond, C. S., Prasad, A., Pinto, D., Walker, S., et al. (2012). SHANK1 deletions in males with autism spectrum disorder. Am. J. Hum. Genet. 90, 879–887. doi: 10.1016/j.ajhg.2012.03.017

PubMed Abstract | CrossRef Full Text | Google Scholar

Schroder, A. L., Pelch, K. E., and Nagel, S. C. (2009). Estrogen modulates expression of putative housekeeping genes in the mouse uterus. Endocrine 35, 211–219. doi: 10.1007/s12020-009-9154-6

PubMed Abstract | CrossRef Full Text | Google Scholar

Schwanhausser, B., Busse, D., Li, N., Dittmar, G., Schuchhardt, J., Wolf, J., et al. (2011). Global quantification of mammalian gene expression control. Nature 473, 337–342. doi: 10.1038/nature10098

PubMed Abstract | CrossRef Full Text | Google Scholar

Studer, E., Naslund, J., Andersson, E., Nilsson, S., Westberg, L., and Eriksson, E. (2015). Serotonin depletion-induced maladaptive aggression requires the presence of androgens. PLoS One 10:e0126462. doi: 10.1371/journal.pone.0126462

PubMed Abstract | CrossRef Full Text | Google Scholar

Sun, J., Wang, D., Guo, L., Fang, S., Wang, Y., and Xing, R. (2017). Androgen receptor regulates the growth of neuroblastoma cells in vitro and in vivo. Front. Neurosci. 11:116. doi: 10.3389/fnins.2017.00116

PubMed Abstract | CrossRef Full Text | Google Scholar

Takayama, K., Suzuki, T., Tsutsumi, S., Fujimura, T., Takahashi, S., Homma, Y., et al. (2014). Integrative analysis of FOXP1 function reveals a tumor-suppressive effect in prostate cancer. Mol. Endocrinol. 28, 2012–2024. doi: 10.1210/me.2014-1171

PubMed Abstract | CrossRef Full Text | Google Scholar

Tordjman, S., Ferrari, P., Sulmont, V., Duyme, M., and Roubertoux, P. (1997). Androgenic activity in autism. Am. J. Psychiatry 154, 1626–1627. doi: 10.1176/ajp.154.11.1626-a

PubMed Abstract | CrossRef Full Text | Google Scholar

Trabzuni, D., Ramasamy, A., Imran, S., Walker, R., Smith, C., Weale, M. E., et al. (2013). Widespread sex differences in gene expression and splicing in the adult human brain. Nat. Commun. 4:2771. doi: 10.1038/ncomms3771

PubMed Abstract | CrossRef Full Text | Google Scholar

Tronche, F., Kellendonk, C., Kretz, O., Gass, P., Anlag, K., Orban, P. C., et al. (1999). Disruption of the glucocorticoid receptor gene in the nervous system results in reduced anxiety. Nat. Genet. 23, 99–103. doi: 10.1038/12703

PubMed Abstract | CrossRef Full Text | Google Scholar

Vandesompele, J., De Preter, K., Pattyn, F., Poppe, B., Van Roy, N., De Paepe, A., et al. (2002). Accurate normalization of real-time quantitative RT-PCR data by geometric averaging of multiple internal control genes. Genome Biol. 3:RESEARCH0034. doi: 10.1186/gb-2002-3-7-research0034

PubMed Abstract | CrossRef Full Text | Google Scholar

Vom Saal, F. S. (1983). “The interaction of circulating oestrogens androgens in regulating mammalian sexual differentiation,” in Hormones and Behaviour in Higher Vertebrates, eds J. Balthazart, E. Pröve and R. Gilles (Berlin Heidelberg: Springer), 159–177.

Google Scholar

Werling, D. M. (2016). The role of sex-differential biology in risk for autism spectrum disorder. Biol. Sex Differ. 7:58. doi: 10.1186/s13293-016-0112-8

PubMed Abstract | CrossRef Full Text | Google Scholar

Werling, D. M., Parikshak, N. N., and Geschwind, D. H. (2016). Gene expression in human brain implicates sexually dimorphic pathways in autism spectrum disorders. Nat. Commun. 7:10717. doi: 10.1038/ncomms10717

PubMed Abstract | CrossRef Full Text | Google Scholar

Wilson, S., Qi, J., and Filipp, F. V. (2016). Refinement of the androgen response element based on ChIP-Seq in androgen-insensitive androgen-responsive prostate cancer cell lines. Sci. Rep. 6:32611. doi: 10.1038/srep32611

PubMed Abstract | CrossRef Full Text | Google Scholar

Keywords: autism spectrum disorders (ASD), sex differences, SHANK, SH-SY5Y cells, dihydrotestosterone, 17β-estradiol, androgen receptor knock-out mouse

Citation: Berkel S, Eltokhi A, Fröhlich H, Porras-Gonzalez D, Rafiullah R, Sprengel R and Rappold GA (2018) Sex Hormones Regulate SHANK Expression. Front. Mol. Neurosci. 11:337. doi: 10.3389/fnmol.2018.00337

Received: 30 April 2018; Accepted: 28 August 2018;
Published: 25 September 2018.

Edited by:

Eunjoon Kim, Institute for Basic Science (IBS), South Korea

Reviewed by:

Yong-Seok Lee, Seoul National University College of Medicine, South Korea
Andreas Martin Grabrucker, University of Limerick, Ireland

Copyright © 2018 Berkel, Eltokhi, Fröehlich, Porras-Gonzalez, Rafiullah, Sprengel and Rappold. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Gudrun A. Rappold, gudrun.rappold@med.uni-heidelberg.de

These authors have contributed equally to this work