Investigating the genetic role of aquaporin4 gene in migraine

Abstract

Aquaporin4 (AQP4) has an important role in water homeostasis of human brain and a dysfunction of AQP4 could induce pathological conditions in neuronal activity. The purpose of our work was to evaluate the association of polymorphisms in the AQP4 gene with the risk and the clinical features of migraine. A total of 293 migraineurs and 249 controls were involved in the study. They were genotyped for four single nucleotide polymorphisms (SNPs) of AQP4 gene. No significant difference in the distribution of AQP4 genotypic and allelic frequencies between cases and controls was found. In addition, haplotype analysis did not show any significant difference. Comparison of the clinical features of the disease according to different AQP4 genotypes showed no significant difference. Our data do not support the hypothesis that the AQP4 gene could represent a genetic susceptibility factor for migraine.

Introduction

Migraine is a chronic neurovascular disease characterized by recurrent headache attacks, lasting for 4–72 h, associated with nausea and vomiting and accompanied by photophobia and phonophobia [1]. Up to 25% of migraine sufferers report transient attacks of neurological symptoms, known as aura, during the headache. Migraine is a public health problem of great impact on both the patient and society. Prevalence studies showed that migraine affects 15–25% of women and 6–8% of men [2, 3]. Migraine is rated as one of the most disabling chronic disorders and the annual cost of migraine-related loss in productivity is enormous [4].

Migraine has a strong (up to 50%) genetic component with a probable multifactorial inheritance [5]. Mutations in three genes encoding neural ion channels have been described in patients with familial hemiplegic migraine (FHM), a rare autosomal dominant form of migraine with aura [6]. However, the success of FHM regarding discovery of genetic defects associated with the disease remains elusive in the common forms of migraine, and causative genes have not been identified yet [7].

Pathophysiological mechanisms underlying migraine are still poorly understood [8]. Recently, a possible alteration of the blood–brain barrier (BBB) in migraine attacks has been suggested [9]. In patients with FHM, a significant BBB opening limited to the cortex and preceding cortical edema was revealed by MRI [10]. In addition, the concentrations of matrix metalloproteinase 9 (MMP-9), a proteolityc zinc-dependent enzyme that disrupts the BBB and promotes brain edema, significantly increased in migraine patients both during the attacks and in the interictal phase [11].

The aquaporins are a family of water-selective membrane channels [12]. Aquaporin 4 (AQP4), the main water channel in the brain, is expressed in pericapillary astrocyte foot processes, glial limiting membranes and ependyma [13, 14].This distribution suggests the involvement of AQP4 in the movement of water between blood and brain and between brain and cerebrospinal fluid, mediating the selective efficient movement of water across the cell membrane [15]. AQP4 is involved in BBB development, function and integrity as well [16]. Autoantibodies against AQP4 are detected in the sera of patients affected by neuromyelitis optica, resulting in astrocytes AQP4 loss, and in the typical demyelinating lesions [17]. This protein has also been supposed to be involved in the etiology of cerebral edema and seizures [18, 19] and it seems, therefore, a good candidate gene for migraine. Furthermore, the AQP4 locus is located on chromosome 18q11.2-q12.1 at about 10 cM from the chromosomal regions, suggestive of a linkage to the disease [20, 21].

We hypothesized that AQP4 gene polymorphisms would modify the occurrence and the clinical features of migraine. To test this hypothesis, we performed a case–control association study in a cohort of Italian migraine patients recruited from a university-based headache clinic and in healthy controls, and we genotyped cases and controls for four different SNPs in the AQP4 gene.

Methods

Patients and controls

A total of 293 consecutive migraine patients (82 males, 211 females; mean age ± SD = 41.2 ± 13.2 years, mean age at onset of disease ± SD = 18.5 ± 10.0 years) attending the Headache Center of the University of Turin (Italy), were involved in the study. The diagnosis of migraine was made according to the International Classification of Headache Disorders (IHCD-II) criteria [22]. For additional statistical analyses, the migraine patients were divided into two groups: migraine without aura (MO; 259 patients) and migraine with aura (MA; 34 patients). A standardized record of all the clinical and psychological characteristics of migraine, suitable for computer analysis, was obtained. Psychological evaluation was performed by a trained psychologist using the Beck Depression Inventory (BDI) and the State and Trait Anxiety Inventory (STAI x-1 and STAI x-2) tests. A group of 249 sex, age and geographically matched healthy subjects (90 males, 159 females, mean age ± SD = 41.9 ± 12.9 years) were used as controls. The controls were healthy blood donors and were screened by a neurologist specialized in headaches in order to exclude migraine or other primary headache. Written informed consent was obtained from all participants and the study was approved by the hospital ethics committee.

Genetic analysis

Genomic DNA was extracted from 200 μl of peripheral blood using the QIAamp DNA mini Kit (QIAGEN). The AQP4 gene consists of five exons spanning a 13.7 kb region [23]. Four single nucleotide polymorphisms were genotyped in patients and controls: SNP1 rs3763043 in the 3′UTR region of the AQP4 gene, SNP2 rs3908956 in exon 5, SNP3 rs35248760 in exon 2, SNP4 rs162008 in the 5′ UTR region. PCR reactions were performed in a final volume of 25 μl, with 25 ng of genomic DNA, 0.15 unit of Taq Gold DNA polymerase (Applied Biosystems), 125 nM of each primer, 1.5 mM MgCl2 and 50 mM dNTPs. The following PCR conditions, an initial denaturation at 95°C for 5 min and 35 cycles at 95°C for 30 s, specific T° annealing for 30 s, 72°C for 40 s, and a final elongation to 72°C 7 min were performed. PCR products were electrophoresed on a 1.5% agarose TBE 1X gel and stained with ethidium bromide. For all polymorphisms, the amplified fragment was digested with restriction enzymes (MBI Fermentas). The incubation was performed at 37°C for 4 h and the fragments were separated on 2.5% agarose TBE 1X gel.

Statistics

The χ² test was used to verify the Hardy–Weinberg equilibrium. Statistical analyses were performed using Genepop version 4.0 (http://wbiomed.curtin.edu.au/genepop) and SigmaStat version 3.1 (Jandel Corp., 1994, San Rafael, CA, USA). The distribution of alleles and genotypes was compared using Fisher’s exact test and χ² test. ANOVA followed by Bonferroni correction for multiple comparison was used to compare the clinical characteristics between cases and controls.

Haploview program version 4.1 (www.broad.mit.edu/mpg/haploview/) was used for haplotype analysis and for pairwise linkage disequilibrium, D′ and r². Genetic Power Calculation (http://statgen.iop.kcl.ac.uk/gpc) was used to calculate the power of the association study. According to the recent guidelines for genetic association studies, the level of statistical significance was taken at P < 0.01 [24].

Results

All the tested SNPs, but one, were polymorphic. When SNP2 was genotyped, we found only the ancestral allele in both populations. The Hardy–Weinberg equilibrium was verified for all tested populations. The power to detect a significant association between AQP4 and migraine in our study ranged from 0.74 to 0.93.

The observed genotypic (GF) and allelic frequencies (AF) of the polymorphisms of the AQP4 gene in migraineurs and controls are listed in Table 1. The GF and AF for genotyped SNPs are remarkably similar to that reported in other populations (http://www.ncbi.nlm.nih.gov/SNP). No significant differences were found in the distribution of genotypic and allelic frequencies between cases and controls. No gender difference was found in both cases and controls. When patients with migraine were stratified into subgroups (MO and MA), no significant difference was found.

Table 1 Genotype distribution (GF) and allele frequencies (AF) of the AQP4 gene in migraine patients and controls

Multilocus haplotypes are usually more informative than any single marker, so we performed a haplotypic analysis with Haploview program version 4.1. So far, the analysis identified a total of seven haplotypes, but we focused the analysis on the five haplotypes with a frequency more than 1%. A χ² test of homogeneity turned out not to be significant (P value > 0.05), with the highest contribution to the χ² statistics given by haplotype ACC. The frequency of all haplotypes was similar between the migraineurs and controls. Pairwise analysis showed that the AQP4 SNPs are in LD with each other, in particular for the SNPs rs 35248760 and rs162008 (LOD = 2.94; Table 2). These results are in accord with other studies concerning LD in AQP4 gene, in particular LOD score more than 2 and D′ more than 0.7 was found for rs162008 with other two nearby SNPs [25, 26].

Table 2 Linkage disequilibrium indices (D′ and r², above and below diagonal, respectively) in the control population

Finally, we analyzed the following clinical characteristics of the patients: age of onset, duration of the disease, duration of migraine, frequency of migraine, photophobia, phonophobia, nausea and vomiting. The comparison of the clinical characteristics of the disease according to different AQP4 genotypes showed no significant difference (data not shown).

Discussion

The present study of an Italian population failed to provide evidence of a genetic association between polymorphisms in the region of the AQP4 gene and migraine. Allelic and genotypic frequencies of the examined polymorphisms were similarly distributed between cases and controls. Furthermore, when the patients were divided into different clinical subgroups (migraine with and without aura), no significant difference in AQP4 gene polymorphism frequencies was found. Haplotype analysis confirmed this lack of association. Finally, different genotypes had no significant effect on the examined clinical characteristics of the disease. So our data do not support the hypothesis that AQP4 is a genetic risk factor for migraine.

The regulation of water balance in the brain is crucial in maintaining neuronal activity. A disruption in this regulation causes an increase in brain water content that significantly contributes to the pathophysiology of a variety of neurological disorders, like brain tumor, abscess, focal ischemia, meningitis and hydrocephalus [18, 19, 26–29]. The discovery of the AQP family of membrane water channels has provided important new insights into the physiology and pathology of brain water homeostasis. At present, 13 mammalian AQP channels (AQP0–AQP12) have been identified. AQP1, AQP4 and AQP8 have an important role in brain water balance and cerebral edema [30, 31]. Several studies in AQP-deficient mice have clarified the role of these membrane water channels in the mechanisms of cytotoxic edema, vasogenic edema and CSF production [28, 32, 33].The ability to modulate water flux through AQP deletion has provided new insights into brain water homeostasis and suggested a number of new research directions. Finally, a potential role for AQP modulators for the therapy of several brain disorders is currently under investigation [34]. So, in consideration of the complex role of these water channels within the central nervous system, additional studies are needed to rule out the involvement of aquaporins in migraine pathophysiology.

In conclusion, our data do not support the hypothesis that the AQP4 gene could represent a genetic susceptibility factor for migraine. Some caution is needed in interpreting the results and additional studies in different population are warranted to confirm our findings.