Abstract
Background/Aims
Neuregulin 1 (NRG1) is a positional candidate gene in schizophrenia (SZ). Two major susceptibility loci in the NRG1 gene approximately one million nucleotides apart have been identified in genetic studies. Several candidate functional allelic variants have been described that might be involved in disease susceptibility. However, the findings are still preliminary. We recently mapped active promoters and other regulatory domains in several SZ and bipolar disorder (BD) candidate genes using ChIP-chip (chromatin immunoprecipitation hybridized to microarrays). One was the promoter for the NRG1 isoform, SMDF, which maps to the 3′ end of the gene complex. Analysis of the SNP database revealed several polymorphisms within the approximate borders of the region immunoprecipitated in our ChIP-chip experiments, one of which is rs7825588.
Methods
This SNP was analyzed in patients with SZ and BD and its effect on promoter function was assessed by electromobility gel shift assays and luciferase reporter constructs.
Results
A significant increase in homozygosity for the minor allele was found in patients with SZ (genotype distribution χ2 = 7.32, p = 0.03) but not in BD (genotype distribution χ2 = 0.52, p = 0.77). Molecular studies demonstrated modest, but statistically significant allele-specific differences in protein binding and promoter function.
Conclusion
The findings suggest that homozygosity for rs725588 could be a risk genotype for SZ.
Key Words: Bipolar disorder, Neuregulin, NRG1, rs725588, Schizophrenia, SMDF
Introduction
Neuregulin 1 (NRG1) was first identified as a candidate gene for schizophrenia (SZ) in Icelandic and Scottish families several years ago [1, 2]. Since then, the association has been replicated in other populations [3,4,5,6,7,8,9,10,11]. However, some studies fail to support a role for NRG1, consistent with the heterogeneity of SZ [12,13,14]. Most of the positive studies point to associations within a block of markers in the 5′ end of the gene referred to as the Icelandic haplotype.
In addition, investigators have provided evidence for associations to distal NRG1 markers in SZ, ∼1 Mb downstream, in Asians, African-Americans and some European populations [4,5,6, 8, 10,15,16,17,18,19,20,21]. This region contains the promoter for the heregulin isoforms, which map to ∼32,525,000, and the sensory and motor neuron-derived factor (SMDF) isoform at ∼32,624,000.
The various isoforms constituting the NRG1 family – at least 15 have been described – influence neurite outgrowth, adhesion, apoptosis, neuron migration, astrocyte differentiation and survival of oligodendrocytes by activating the receptor tyrosine kinase ErbB family [20,22,23,24,25,26]. NRG1 also has a post-development effect on neural function by mediating signaling pathways at NMDA receptor-rich postsynaptic densities [27]. There is also evidence that ErbB4 increases AMPA receptor-mediated synaptic currents, CA1 dendritic spine density and GABA release in response to depolarizing concentrations of potassium [28]. NRG1 proteins also increase α7 nicotinic acetylcholine receptors (nAchR), and modulate both hippocampal GABAergic interneurons and CA1 neurons [6, 29, 30]. A decrease in α7 nAchR expression correlated with an NRG1 promoter SNP (rs6994992) has been detected in the dorsolateral prefrontal cortex of SZ patients [31].
Mouse knockout studies also support a role for NRG1 in SZ pathogenesis. Mice heterozygous for either Nrg1 or ErbB4 have a deficit in prepulse inhibition, an SZ endophenotype [1].
Although NRG1 has been viewed as an SZ candidate gene since 2002, the functional allelic variants responsible for the positive association signals have not yet been unequivocally identified. However, several candidates have been targeted, including SNP8NRG243177, which maps to the Icelandic haplotype that appears to affect NRG1 type IV expression and is associated with cortical activation [11,32,33,34,35]. Recently, homozygosity for the minor allele of a nonsynonymous SNP at 32,572,900 (rs3924999) has been found to be associated with prepulse inhibition defects in patients with SZ, although the sample size was relatively small [9]. In addition, a mutation in the Ig-like domain, which cooperates with the EGF-like domain to bind ErbB receptors, was associated with impaired latent inhibition [36, 37].
Although these studies point to several functional SNPs as promising candidate alleles, it is likely, given the size of the NRG1 gene and the multitude of positive association and linkage findings in various populations to different portions of the NRG1 gene locus, as well as the small effect sizes so far found in suspected candidate variants and haplotypes, that many disease-causing functional mutations exist in the gene. If so, genetic variation in regulatory domains would be reasonable places to search for novel functional alleles.
We have recently begun to analyze NRG1 and other SZ and BD candidate genes using chromatin immunoprecipitates hybridized to microarrays – ChIP-chip – to identify potential regulatory elements. We screened tiled arrays containing the entire NRG1 gene locus with immunoprecipitates made from human fetal brain chromatin enriched for histone H3 acetylated at lysine 9 (H3K9Ac) and monomethylated at lysine 4 (H3K4me1), which are enriched in promoters and enhancers [38,39,40,41,42]. In so doing, we identified several potential regulatory domains in NRG1, DISC1, JARID2, DTNBP1, PDE4B, DAO, DAOA and the COMT/ARVCF locus on 22q11 [Pedrosa et al., in press]. One was the promoter of the NRG1 isoform, SMDF (also known as type III neuregulin). We analyzed an SNP in this region, rs7825588, in a cohort of patients with SZ and BD, and carried out molecular studies to assess its role in promoter function. Evidence is presented showing that homozygosity for the minor allele associates with SZ.
Patients and Methods
Subjects
Patients with BD from the Czech Republic were unrelated subjects recruited from in- and outpatient units at the Prague Psychiatric Center, Psychiatric Hospital Bohnice, Psychiatric Clinic (n = 167). Patients were diagnosed on the basis of either a Schedule for Affective Disorders and Schizophrenia-Lifetime Interview (n = 68) or by unstructured clinical interview modified from this Schedule using research diagnostic criteria for the diagnosis of either BD I or II (n = 99) [43, 44]. Control subjects from the Czech Republic were blood bank donors and patients hospitalized for medical reasons (n = 211). Seventy-one control subjects did not have underlying psychiatric illness based on a brief psychiatric clinical interview. In the remaining controls, all from blood bank donors, no formal testing procedure was used to screen for personal history of mental illness. However, the blood bank only accepted subjects who were not being treated for a psychiatric illness and had no family history of mental illness.
Patients with SZ (n = 176) were recruited from the Rockland State Hospital. Diagnosis was established by research diagnostic criteria using a Structured Clinical Interview for DSM or clinical interview. US controls (n = 175) were Caucasian blood bank donors. No formal testing procedure was used to screen these subjects to rule out individuals who had a personal or family history of mental illness, although the frequency of BD and SZ in a population of blood donors would be expected to be ≤1% for each. All patients signed an informed consent approved by the Ethical Committee on Clinical Investigation (Czech samples) and the Albert Einstein College of Medicine Institutional Review Board (US samples). In the SZ sample, 31% were female, with a mean age of 42 ± 10 years. In the control group for this sample, 45% were female, with a mean age of 48 ± 13 years. In the Czech bipolar cohort, 54% were female, with a mean age of 49 ± 17 years, while in the control group for this samples, 40% were female, with a mean age of 47 ± 16 years.
Polymorphism Detection and Genotyping
DNA was genotyped for rs7825588 using the TaqMan allelic discrimination technique according to the manufacturers instructions. Samples were amplified with PCR in 384-well plates using an Applied Biosystems Model 7900HT thermal cycler. Samples were genotyped twice.
Electromobility Gel Shift Assay (EMSA)
EMSA was performed according to published procedures [45]. Briefly, double-stranded oligonucleotide probes containing the polymorphic variants were constructed. The primers were annealed and end-labeled with 32P deoxynucleotides using Klenow polymerase to fill in 5′ overhangs, which generated double-stranded probes that were used for protein binding experiments. Nuclear protein extract was isolated from fetal (whole brain) and adult brains (parietal lobe). Protein (10 μm) was mixed with probe (1 ng, ∼106 counts) and incubated for 20 min at room temperature. Probes containing the different alleles were labeled simultaneously using the same amount of DNA and radioactive nucleotides. DNA-protein complexes were resolved by electrophoresis in a non-denaturing gel system containing 6% acrylamide and 1.6% glycerol. Specificity of the resulting binding activity was demonstrated by competition with non-radioactive probe added in 100-fold excess. Autoradiograms in the linear range of exposure were scanned and quantified by normalizing against unused probe. Differences between the two alleles for each sample were analyzed using a paired t test (two tailed).
EMSA primers:
SMDF-forward G agtgtgggtagagagcGgggagtgggggtt
SMDF-reverse G ccaacccccactcccCgctctctacccaca
SMDF-forward A agtgtgggtagagagcAgggagtgggggtt
SMDF-reverse A ccaacccccactcccTgctctctacccaca
Cloning of SMDF Promoter and Transfection in Neuroblastoma Cells
A 754-bp fragment from the SMDF promoter region containing the two different rs7825588 alleles (A or G) was cloned into the pGL2 basic plasmid (Promega), which contains the luciferase reporter gene. These were introduced into SH-SY5Y neuroblastoma cells using the liposomal transfection reagent, GeneCarrier-2 (3 μg/μg DNA; Epoch Biolabs; Sugar Land, Tex., USA). Following transfection, the cells were incubated for another 24 h, after which they were treated with 5 μM retinoic acid. Cells were harvested 24 h later and assayed for luciferase activity using a luciferase assay kit (Promega catalogue No. E4030); luminescence was measured in triplicate using a luminometer (Berthold Lumat LB9501). Experiments were carried out in three independent transfection assays. Prior to each transfection, plasmid integrity with respect to the relative amount of supercoiled material present in the preparation was separated by gel electrophoresis and quantified.
Statistical Analysis
A statistical program, StatXACT-5 (Cytel Software, Cambridge, Mass., USA), was used to compute the χ2 and Fisher statistics. The level of significance was set at p < 0.05. Hardy-Weinberg equilibrium (HWE) was computed using a goodness-of-fit χ2 determination.
Results
Genotyping Analysis of rs7825588
In a previous ChIP-chip analysis of several candidate genes for SZ and BD using antibodies to histone H3 acetylated at lysines 9 and 14 (H3K9/14Ac) and monomethylated at lysine 4 (H3K4me1), a number of active promoters and putative enhancers were identified in fetal brain (in press). One was on chromosome 8 between ∼32,623,000–32,626,000, which contains the promoter for the NRG1 isoform SMDF (transcription start site, 32,624,071) [46]. The ChIP-chip peak encompassed the TATA-less and GC-rich promoter, the 5′ untranslated region, and exon 1, and includes 10 conserved transcription factor binding sites (TFBS track, UCSC); TFBS are often found in conserved regulatory elements. Among the TFBS in this promoter are several that are developmentally regulated, including the homeodomain-containing transcription factor Nkx and the forkhead transcription factor Fox04, as well as Cdc5, which has been implicated in dopaminergic and glutamatergic signaling [47]. Six known SNPs are found within the approximate boundaries of the peaks, including rs7825588 at 32,623,942, which is 128 bp upstream of the SMDF transcription start site and 837 bp from the translation start, rs4389886, a rare variant in the 5′ UTR, and three relatively rare nonsynonymous SNPs found primarily in African-Americans [rs34918173 (A34E); rs34822181 (P127A); rs35641374 (L133V)], and one, rs3735774 (A46G), found in Asian populations. In this study, we genotyped a cohort of European Caucasian patients from the New York Metropolitan area and controls, as well as a cohort of patients with BD from the Czech Republic and controls for rs7825588. We chose this SNP primarily because it is the most informative in our population. In addition, a potential binding site for the MZF1 transcription factor is found in the G-allele for rs7825588 (TFSEARCH) [48].
In the BD and control cohorts from the Czech Republic, allele and genotype frequencies were not significantly different (table 1), and the frequencies were similar to those reported for the HapMap-CEU population. In addition, the genotype distribution did not deviate from that expected in the sample assuming HWE. By contrast, there was a significant difference in the genotype distribution between patients with SZ and controls in the US sample (χ2 = 7.32, p = 0.03), although there was no significant difference in allele frequencies. When a Bonferroni correction is applied to the data to account for multiple testing (analysis of SZ and BD data sets), the association falls just short of significance at the p = 0.025 level (0.05 divided by 2 tests). There was a significant deviation from the HWE in the patient sample due to the excessive number of homozygotes for the minor allele (HWE, p = 0.04). Since deviation from HWE can be caused by genotyping error, we reanalyzed the samples; no genotyping errors were detected. Copy variation is another cause for HWE deviation. However, none has been reported in this region by array analysis (Database for Genomic Variants: http://projects.tcag.ca/variation/) or by SNP arrays in >1,000 controls [Dr. Tamim Shaikh, submitted and pers. commun.].
Table 1.
Genotypes |
Alleles |
||||
---|---|---|---|---|---|
GG | GA | AA | G | A | |
Controls | 131 (0.76) | 42 (0.24) | 0 | 304 (0.88) | 42 (0.12) |
SZ | 129 (0.77) | 32 (0.19) | 6 (0.04) | 290 (0.86) | 44 (0.13) |
Controls | 172 (0.82) | 35 (0.17) | 2 (0.01) | 379 (0.91) | 39 (0.09) |
BD | 127 (0.79) | 31 (0.19) | 2 (0.01) | 285 (0.89) | 35 (0.11) |
BD vs. controls: allele frequency, χ2 = 0.52, p = 0.47; genotype distribution, χ2 = 0.52, p = 0.77; HWE controls, p = 0.69; BD, p = 1.0. SZ vs. controls: allele frequency, χ2 = 0.16, p = 0.68; genotype distribution, χ2 = 7.32, p = 0.03; HWE controls, p = 0.08; SZ, p = 0.04.
EMSA
As a first step towards determining whether rs7825588 has functional significance, EMSA experiments were carried out. Crude nuclear protein extracts from fetal brain samples were annealed to allele-specific, double-stranded oligonucleotide probes and separated by non-denaturing gel electrophoresis. As seen in figure 1, a DNA-protein complex was detected in the 9-week-old fetus for both the A- and G-containing probes [fig. 1a, bands in the first lanes of each set (A, G); bottom bands in fig. 1bshow an unused probe]. The binding was specific since the signal was markedly attenuated when unlabeled competitor was added during the annealing phase (last two lanes labeled 9 weeks). As seen in figure 1, there is a decrease in signal intensity during fetal development (15–24 weeks) in adult brain tissue (adult lanes). We scanned bands in the linear range of exposure and found a 30.3% decrease in signal intensity for the oligonucleotide probe containing the minor allele (A) compared with the G-allele (p = 0.0271, t test).
Reporter Gene Transfection Assay to Assess rs7825588 Function
In order to determine whether the different rs7825588 alleles affect SMDF promoter activity, a 754-bp segment of the promoter containing one or the other allele was cloned into a luciferase reporter plasmid and transfected into SH-SY5Y neuroblastoma cells. As seen in figure 2, promoter activity increased ∼17- to 18-fold compared with that found in pGL2-basic, which has low intrinsic promoter activity. A 9.8% increase in promoter activity was detected for the minor allele. Although the difference between the two alleles was small, it was statistically significant (two-tailed paired t test, p = 0.02 for fold increase in A-allele compared with G-allele).
Discussion
The different isoforms produced by transcription initiation at various NRG1 promoters have distinct roles in neuronal and glial function. What accounts, therefore, for the positive association findings spanning the entire ∼1.2-Mb NRG1 gene locus, which suggest that several isoforms may influence disease pathogenesis? The initial genetic finding, subsequently confirmed by several groups, showed an association to the Icelandic haplotype, which encompasses the GGF2 (glial growth factor-2 or type II neuregulin) promoter, the most 5′ NRG1 coding element. However, more distal association signals have been identified in other studies ∼one million bases 3′ to the Icelandic haplotype, which incorporates the promoters and 5′ exons for several isoforms, including SMDF. One possibility is that despite distinct roles for NRG1 isoforms in synaptogenesis, neuronal development, migration, Schwann cell and oligodendrocyte differentiation and myelination, there is convergence on a common functional or structural pathway. One possibility is glutamatergic signaling mediated by the NMDA complex, which may be disrupted in SZ [49,50,51,52,53]. Thus, genetic variation affecting any one of several different isoforms could conceivably have a common effect on glutamate transmission and behavioral phenotype, albeit through different molecular pathways.
Thus, our finding of a modest association between a functional SMDF promoter variant in SZ is compatible with the positive association signals that implicate more 5′ regions of the NRG1 gene complex. In addition, our findings could explain other positive association signals that point to this NRG1 region. In 2005, Petryshen et al. [6], for example, demonstrated an association to several markers in the 3′ end of NRG1, including one, rs2466058, which is only ∼2 kb from rs7825588. Also, in 2003, Yang et al. [4] identified several individual SNPs and 3′ haplotypes in a Han Chinese SZ population, including rs2954041, which is only ∼18 kb from the SMDF promoter. Finally, in 2007, Thomson et al. [10] found haplotypes associated with both SZ and BD in a Scottish cohort that incorporates the SMDF promoter region. These findings could be due to linkage disequilibrium with rs7825588. Our results are also compatible with the finding that differences in leukocyte SMDF expression exist in SZ-discordant siblings [6].
SMDF regulates Schwann cell membrane growth and differentiation, and triggers myelination in sensory and motor neurons [23, 54]. Recent work suggests that SMDF influences myelination in the CNS too [55]. Altered SMDF expression and myelination in the CNS in SZ would be compatible with imaging studies, which show abnormalities in subcortical white matter density in patients compared with controls [34, 56]. In addition, oligodendrocyte and myelin abnormalities have been suggested to occur in SZ on the basis of array expression, in situ hybridization and morphological studies [7,57,58,59,60]. A role for SMDF is also consistent with recent findings showing that mice heterozygous for a disruption in type III Nrg1 have enlarged lateral ventricles, decreased dendritic spine density on subicular pyramidal neurons, hypofunction in the medial prefrontal cortex, impaired performance on delayed alternation memory tasks and deficits in prepulse inhibition [61]. Finally, SMDF was found to affect α7 nAChR-mediated synaptic responses and targeting of the receptor on presynaptic membranes; α7 nAChR affects cognitive function and has been implicated in SZ [62,63,64]. Stimulation of NRG1 type III increased the surface levels of axonal α7 nAChR from a preexisting intracellular pool via a phosphatidylinositol 3-kinase signaling pathway [63]. Interestingly, treatment with a partial α7 nAChR agonist was recently shown to improve negative symptoms and working memory in a phase 2 clinical trial [65].
These studies and our findings suggest that SMDF dysregulation may be an underlying pathogenic process in a subset of patients with SZ.
A significant limitation of this study is the relatively small sample size available to us for the case-control association analysis. Thus, type I error is a distinct possibility and the findings need to be replicated in a larger data set. In addition, more extensive analysis of rs7825588 is indicated. The EMSA findings strongly suggest that binding to an unknown protein is affected by the polymorphism. However, the promoter assay was equivocal showing statistically significant, albeit marginal allele-specific differences. It should be noted that while promoter activity was higher with the disease-associated ‘A’ allele, there was a decrease in signal in the DNA-protein complex seen on EMSA. One possibility is that the unknown protein binding to the SNP may be a transcriptional repressor (i.e. less binding, higher transcription). Another is that the minor allele leads to an increase in transcription in neuroblastoma cells, but a decrease in the developing brain. The latter is more consistent with the findings by Chen et al. [61], who showed that a decrease in type III expression in a knockout model had behavioral and structural changes that mimicked clinical SZ.
Despite these limitations, the findings presented here, as well as other studies implicating a defect in myelination in SZ, suggest that rs7825588 and other genetic variants affecting SMDF expression should be viewed as plausible candidates in SZ susceptibility.
Acknowledgements
We would like to thank Hana Fridrichova for her help in recruiting patients and her administrative support for the Czech BD cohort, the Departments of Human Genetics and Molecular Genetics of the Albert Einstein College of Medicine for their assistance, and Dr. Joseph Locker of the Department of Pathology for discussions related to the luciferase assay. We are also grateful to Dr. Tamim Shaikh for providing unpublished data. P.S. was supported by a research grant from IGA MZ CR NR8564, and H.M.L. by the National Institute of Mental Health (R01MH073164) and by the Juvenile Bipolar Research Foundation.
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