The Contribution of SAA1 Polymorphisms to Familial Mediterranean Fever Susceptibility in the Japanese Population

Abstract

Background/Aims

Familial Mediterranean Fever (FMF) has traditionally been considered to be an autosomal-recessive disease, however, it has been observed that substantial numbers of patients with FMF possess only 1 demonstrable MEFV mutation. The clinical profile of familial Mediterranean fever (FMF) may be influenced by MEFV allelic heterogeneity and other genetic and/or environmental factors.

Methodology/Principal Findings

In view of the inflammatory nature of FMF, we investigated whether serum amyloid A (SAA) and interleukin-1 beta (IL-1β) gene polymorphisms may affect the susceptibility of Japanese patients with FMF. The genotypes of the -13C/T SNP in the 5′-flanking region of the SAA1 gene and the two SNPs within exon 3 of SAA1 (2995C/T and 3010C/T polymorphisms) were determined in 83 Japanese patients with FMF and 200 healthy controls. The same samples were genotyped for IL-1β-511 (C/T) and IL-1 receptor antagonist (IL-1Ra) variable number of tandem repeat (VNTR) polymorphisms. There were no significant differences between FMF patients and healthy subjects in the genotypic distribution of IL-1β -511 (C/T), IL-1Ra VNTR and SAA2 polymorphisms. The frequencies of SAA1.1 allele were significantly lower (21.7% versus 34.0%), and inversely the frequencies of SAA1.3 allele were higher (48.8% versus 37.5%) in FMF patients compared with healthy subjects. The frequency of -13T alleles, associated with the SAA1.3 allele in the Japanese population, was significantly higher (56.0% versus 41.0%, p = 0.001) in FMF patients compared with healthy subjects.

Conclusions/Significance

Our data indicate that SAA1 gene polymorphisms, consisting of -13T/C SNP in the 5′-flanking region and SNPs within exon 3 (2995C/T and 3010C/T polymorphisms) of SAA1 gene, are associated with susceptibility to FMF in the Japanese population.

About the Authors:

Kiyoshi Migita

* E-mail: [email protected]

Affiliation: Clinical Research Center, Department of General Internal Medicine and NHO Nagasaki Medical Center, Kubara, Omura, Japan

Kazunaga Agematsu

Affiliation: Department of Infection and Host Defense Graduate School of Medicine, Shinshu University, Asahi, Matsumoto, Japan

Junya Masumoto

Affiliation: Department of Pathogenomics, Ehime University Graduate School of Medicine, Toone City, Ehime, Japan

Hiroaki Ida

Affiliation: Department of Rheumatology, Kurume University School of Medicine, Kurume, Japan

Seiyo Honda

Affiliation: Department of Rheumatology, Kurume University School of Medicine, Kurume, Japan

Yuka Jiuchi

Affiliation: Clinical Research Center, Department of General Internal Medicine and NHO Nagasaki Medical Center, Kubara, Omura, Japan

Yasumori Izumi

Affiliation: Clinical Research Center, Department of General Internal Medicine and NHO Nagasaki Medical Center, Kubara, Omura, Japan

Yumi Maeda

Affiliation: Clinical Research Center, Department of General Internal Medicine and NHO Nagasaki Medical Center, Kubara, Omura, Japan

Ritei Uehara

Affiliation: Department of Public Health, Jichi Medical University, Tochigi, Japan

Yoshikazu Nakamura

Affiliation: Department of Public Health, Jichi Medical University, Tochigi, Japan

Tomohiro Koga

Affiliation: First Department of Internal Medicine, Nagasaki University School of Medicine, Sakamoto, Nagasaki, Japan

Atsushi Kawakami

Affiliation: First Department of Internal Medicine, Nagasaki University School of Medicine, Sakamoto, Nagasaki, Japan

Munetoshi Nakashima

Affiliation: Department of Rheumatology, Red Cross Nagasaki Atomic bomb Hospital, Mori, Nagasaki, Japan

Yuichiro Fujieda

Affiliation: Department of Medicine II, Hokkaido University Graduate School of Medicine, Sapporo, Japan

Fumiaki Nonaka

Affiliation: Department of Rheumatology, Sasebo City General Hospital, Hirase, Sasebo, Japan

Katsumi Eguchi

Affiliation: Department of Rheumatology, Sasebo City General Hospital, Hirase, Sasebo, Japan

Hiroshi Furukawa

Affiliation: Department of Rheumatology, NHO Sagamihara Hospital, Sakuradai, Sagamihara, Japan

Tadashi Nakamura

Affiliation: Department of Rheumatology, NTT WEST JAPAN Kyushu Hospital, Shinyashiki, Kumamoto, Japan

Minoru Nakamura

Affiliation: Clinical Research Center, Department of General Internal Medicine and NHO Nagasaki Medical Center, Kubara, Omura, Japan

Michio Yasunami

Affiliation: Center for International Collaborative Research (CICORN) and Institute of Tropical Medicine, Nagasaki University, Nagasaki, Japan

Introduction

FMF is an inherited autoinflammatory disease characterized by recurrent self-limited fever, and serositis [1]. These episodes of inflammation are mainly mediated by a massive influx of neutrophils into serous cavities and are accompanied by an elevation of acute phase reactants [2]. The disease is associated with mutations in the MEFV gene that encodes pyrin, and is transmitted in an autosomal-recessive manner [3]. Therefore, heterozygotes are expected to be carriers or lack the clinical phenotype of FMF. However, mutations in the second MEFV allele have not been observed in 20–30% of patients with typical FMF [4]. Recent studies suggest that subjects with a single MEFV mutation may cross a threshold for the development of an FMF phenotype if they also express a combination of gene polymorphisms that favor increased inflammation [5]. These polymorphisms are thought to belong to genes of the interleukin-1β/innate immune system pathways [5]. The IL-1 family of cytokines is critical to the host's response to infection, and induction of innate immunity and acute phase inflammation [6]. The overproduction of IL-1β is responsible for a variety of autoinflammatory syndromes including FMF [7]. IL-1β requires cleavage via caspase-1 for proper secretion, which is facilitated by inflammasome activation [8]. The NOD-like receptor family, pryin domain containing 3 (NLRP3) inflammasome has emerged as a critical cytosolic sensor for a number of endogenous mediators, including amyloid protein [9].

Recent studies have shown that serum amyloid A (SAA) induced the expression of pro-IL-1β and activated the NLRP3 inflammasome in a cathepsin B and P2X7-dependent manner resulting in secretion of mature IL-1β [10]. SAA is an acute-phase protein, which increases in the serum during inflammation and is susceptible to proteolytic cleavage to amyloid A (AA) protein, the major fibrillar protein in secondary amyloidosis [11]. An allelic variant of SAA1.3, was found to be associated with AA amyloidosis in Japanese rheumatoid arthritis (RA) patients [12]. In view of the recent genetic studies in FMF, other modifying genetic factors may contribute to the susceptibility or clinical expression of FMF in addition to MEFV mutations. Therefore, we attempted to determine the effect of gene polymorphisms on the susceptibility to FMF in the Japanese population.

Materials and Methods

Patients

In early 2007, a laboratory network collecting the genetic diagnosis of periodic fever was established at the Japan Autoinflammation Association (JAA), and MEFV gene analysis was carried out at the Clinical Research Center of National Hospital Organization (NHO) Nagasaki Medical Center. Up to October 2012, 481 consecutive unrelated patients with periodic fever were referred and underwent molecular diagnosis at the NHO Nagasaki Medical Center. All patient, who were originating from Japan, (East Japan n = 36, West Japan n = 47) were asked to complete a questionnaire that included demographics (sex, age of onset), family history (consanguinity of parents, family history of recurrent fever), and the presence of recurrent febrile attacks typical of FMF, including peritonitis, pleuritis, arthritis, and transient inflammatory responses. The genetic analysis of MEFV gene was approved by the Ethics Committee of Nagasaki Medical Center, and written informed consent was obtained from each individual. On the basis of Tel-Hashomer criteria [13], we divided the FMF patients in two groups: Group 1, typical FMF exhibiting the presence of 1 or more major criteria independent to the presence of minor criteria; Group 2, incomplete FMF exhibiting the absence of major criteria and 2 or more minor criteria. It is important to stress that response to colchicine was confirmed in almost all patients. As controls, 200 healthy Japanese individuals without pre-existing medical diseases (90 men and 110 women 14 to 64 years, with a mean age of 38.6±13.9 years) from East Japan (n = 86) and West Japan (n = 114) were enrolled in the study after obtaining informed consent.

MEFV gene Mutation analysis

All patients were undergone genetic analysis of MEFV gene exons 1, 2, 3 and 10 by direct sequencing. 2 milliliters of blood samples were collected from all subjects. Genomic DNA was extracted from whole blood by means of the Promega Wizard® Genomic DNA Purification Kit (Promega, USA). Mutation analysis was performed by genomic sequencing as described previously [14].

Genotyping

SAA1 gene.

The genotype of the SAA1 -13C/T in the 5-region of exon 1 (rs11024595) was determined by the polymerase chain reaction–restriction fragment length polymorphism (PCR–RFLP) method [15]. The primers used for the PCR reaction were 5′-ACATCT TGTTCCCTC AGGTTG-3′ (sense) and 5′-GCTGTAGCTGAGCTGCGG-3′ (antisense).

The 229-bp PCR products were digested with restriction enzyme AciI (BioLabs, Beverly, MA, USA) and electrophoresed on a 12.5% polyacrylamide gel [15].

The SAA1.1, 1.3, and 1.5 alleles, corresponding to the T-C, C-T, and C-C haplotypes of the C2995T (rs1136743) and C3010T (rs1136747) polymorphisms were also determined by the PCR-RFLP [15]. The primers used for the PCR reaction were 5′-GCC AATTACATCGGCCTCAG-3′ (sense) and 5′-TGGCCA AAGAATCTCTGG AT-3′ (antisense).

The 518-bp PCR products were digested with restriction enzyme BclI (Promega, San Luis Obispo, CA, USA) and BanI (Promega) and electrophoresed on a 2.5% agarose gel [15].

The genotype of the SAA2 (rs2468844) was determined by the polymerase chain reaction–restriction fragment length polymorphism (PCR–RFLP) method. The primers used for the PCR reaction were 5′-AGAGAATATCCAGAGACTCACAGGC-3′ (sense) and 5′-CAGGCCAGCAGGTCGGAAGT-3′(antisense). The 115 bp PCR products were digested with the restriction enzyme Nco I. The digested products were separated by 3% agarose gels by ethidium bromide staining [15].

IL-1Ra.

For the IL-1RA VNTR polymorphism, the region including variable numbers of identical 86-bp tandem repeats was amplified by PCR using the following primers: 5′-CTCAGCCAACACTCCTAT-3′ (sense) and 5′-TCCTGGTCTGCAGGTAA-3′ (antisense). PCR products of 240(allele 2, two repeats), 325 (allele 3, three repeats), 410 (allele 4, four repeats), and 500 bp (allele 5, five repeats) were distinguished by agarose gel electrophoresis [16].

IL-1B-511.

A fragment containing the AvaI polymorphic site at promoter region -511 of the IL-1B gene was amplified by PCR. PCR was carried out with primers, forward primer 5′-GCCTGAACCCTGCATACCGT-3′ (sense). 5′-GCCAATAGCCCTTGTCT-3′ (antisense). Fragments were separated by electrophoresis on 3% agarose with ethidium bromide staining using appropriate commercially available size markers for comparison. The C allele was designated if two bands of 92 and 63 bp were obtained, and the T allele was designated if a signal band of the undigested 155 bp was obtained. Genotypes were designated as follows: C/C, two bands of 92 and 63 bp: C/T, three bands of 155, 92, and 63 bp; and T/T, a single band of 155 bp [16].

Statistical Analysis

Results are expressed as mean±SD. Statistical analysis was performed with SPSS18 for windows (SPSS Statistics, Illinois). The statistical significance of differences between groups was calculated by either the chi-square test for categorical data and Mann-Whitney's U-test for quantitative data. Deviation from Hardy-Weinberg equilibrium was assessed using the SNPAlyze software ver. 7.0 (Dynacom, Yokohama, Japan). A p value of <0.05 was considered significant.

Results

Demographic data and MEFV genotypes

We diagnosed 83 subjects, all of Japanese origins, as FMF. Among these patients, 44 were diagnosed as typical FMF and 37 were diagnosed as incomplete FMF. The demographic data of the newly-diagnosed FMF patients are summarized in Table 1. The overall male: female ration in patients with FMF was 0.8 (37:46). In incomplete FMF patients, the more affected sex is female in contrast to typical FMF (Table 1). The mean age ± SD at diagnosis was 37.9±18.8 years. Age at diagnosis of patients with typical FMF was similar to those with incomplete FMF (36.2±18.2 and 39.9±19.6 years, respectively; p = 0.419; Table 1). By mutation analysis, the MEFV gene mutation could not be identified in 3 of 83 patients (3.6%). The distribution of the MEFV genotype was heterogenous. The most frequent genotype was M694I/E148Q, followed by E148Q/normal and E84K/normal. AA amyloidosis was histologically confirmed in 4 patients with FMF, whose genotypes were M694I/M694I SAA1.5/15, M694I/E148Q/L110P SAA1.1/1.1, M694I/E148Q/L110P SAA1.3/1.5 and E148Q/R202Q/P369S/R408Q SAA1.3/1.5.

[Figure omitted. See PDF.]

Table 1. MEFV genotypes, gender, and the presence of amyloidosis in 83 Japanese patients with FMF.

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IL-1β and IL-1Ra gene polymorphism

The genotype frequencies of IL-1β-511 (C/T), and IL-1Ra VNTR polymorphisms in FMF patients and healthy subjects are summarized in Table 2. There were no significant difference in the frequencies of these polymorphisms between FMF patients and healthy subjects.

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Table 2. Frequencies of the genotypes at the IL-1β -511, IL-1Ra and SAA2 loci in patients with FMF and healthy subjects.

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Association between SAA2 gene polymorphism and FMF

There was no significant difference in the frequencies of the SAA2 genotype between FMF patients and healthy subjects (Table 2).

Association between SAA1 gene polymorphisms and FMF

A segment of the genomic SAA1 gene with polymorphic sites was subjected to PCR/restriction fragment length polymorphism (PCR-RFLP) analysis. Table 3 shows the frequencies of individuals with various genotypes and alleles at the SAA1 locus in either FMF patients (n = 83) or Japanese healthy subjects (n = 200). The allele frequency of SAA1.1 was significantly lower in FMF patients compared with healthy subjects (21.7% versus 34.0%). Conversely, the allele frequency of SAA1.3 was higher in FMF patients compared with healthy subjects (48.8% versus 37.5%).

[Figure omitted. See PDF.]

Table 3. Frequencies of the genotypes and alleles at the SAA1 locus of Japanese patients with FMF and healthy subjects.

https://doi.org/10.1371/journal.pone.0055227.t003

The -13C/T polymorphism, in the 5′-flanking region of the SAA1 gene is associated with the SAA1.3 allele and susceptibility to amyloidosis in Japanese RA patients [17]. We analyzed the frequency of -13C/T polymorphisms in FMF patients and Japanese healthy subjects. Allele frequencies of -13C/T were different among these two groups (Table 4), and -13T allele was significantly increased in FMF patients compared with healthy subjects (56.0% versus 41.0%, p = 0.001). These data suggest that the -13T allele is associated with susceptibility to FMF in the Japanese population. Allele frequencies of -13 C/T polymorphisms were also analyzed in typical or incomplete FMF patients. There was no significant difference in the frequencies -13T allele between typical and incomplete FMF patients (Table 5). Among 83 patients with FMF, 30 patients had 0 to 1 MEFV mutation (no mutation 3; heterozygous 27) and 53 patients at least 2 mutations (homozygous or compound heterozygous). There was no significant difference in SAA1 gene polymorphisms between FMF patients with different numbers of MEFV mutations (Table 6).

[Figure omitted. See PDF.]

Table 4. Frequencies of the genotypes and alleles at -13C/T SAA1 locus of Japanese patients with FMF and healthy subjects.

https://doi.org/10.1371/journal.pone.0055227.t004

[Figure omitted. See PDF.]

Table 5. Allele frequencies of SAA1 gene polymorphisms in typical and incomplete FMF patients.

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Table 6. Number of MEFV gene mutations and SAA1 gene polymorphisms in FMF patients.

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Hardy-Weinberg equilibrium test

Finally, Hardy-Weinberg equilibrium was estimated by chi-square test with Yates' correction. There was no significant difference between observed and experienced frequencies of each genotype (SAA1 -13C/T, SAA2, IL-1β-511) in the both FMF patients (Table 7) and healthy subjects (Table 7). These results indicated that these populations had a relatively stable genetic

[Figure omitted. See PDF.]

Table 7. Frequencies of SAA1 -13C/T, SAA2, IL1β -511 genotypes in Japanese patients with FMF and frequencies of SAA1 -13C/T, SAA2, IL1β -511 genotypes in healthy subjects.

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background and were stable for genetic statistical analysis.

Discussion

FMF is considered to be an autosomal recessive disease [18]. The gene causing FMF is MEFV, which encodes pyrin, expressed in the cytoplasm of myeloid cells [2]. Pyrin is postulated to act as a negative regulator of IL-1-mediated inflammation [19]. However, approximately 30% of FMF patients exhibit a single MEFV mutation, despite sequencing of the entire MEFV genomic region and other autoinflammatory genes [20]. More recently it was demonstrated that pyrin truncation in mice did not show an overt phenotype of FMF, however, pyrin-deficient and FMF-associated B30.2 mutations “knock in” mice showed severe spontaneous inflammatory phenotype, suggesting that FMF may be caused by a gain of function by disease-associated missense changes in pyrin and that FMF may not be a pure autosomal recessive disease due to the loss of protein function [21]. One explanation is that subjects having a single MEFV mutation may develop an FMF phenotype in the presence of other inflammasome-related genes or in the presence of other environmental factors [22]. Therefore, the role of potential modifier genes and polymorphisms within these gene families should be assessed in conjunction with genotype-phenotype association studies. Polymorphisms in genes associated with the inflammasome pathway can affect the development of FMF [5]. For example, TLR2 polymorphisms may be an important factor in the susceptibility of FMF [23], [24].

In this study, we investigated the SAA1 and IL-1β gene polymorphisms in Japanese patients with FMF. There was no significant difference in IL-1β-511 (C/T) or IL-1Ra VNTR polymorphisms between FMF patients and healthy subjects in accord to the previous report [25]. However, we demonstrated that SAA1 gene polymorphisms, which are attributed to AA amyloidosis, might be also responsible for susceptibility to FMF. It is clear that genotypes at the SAA1 locus are associated with an increased susceptibility to AA amyloidosis [26]. However, the contribution of these genotypes to the occurrence of non-amyloid, inflammatory disease has not been elucidated. In this study, we investigated the allele frequencies of SAA1.1 and -13 (C/T) polymorphisms of the SAA1 promoter region in Japanese patients with FMF. Our data demonstrated that the -13T allele polymorphism was a major risk factor and that the SAA1.1 allele was protective for the occurrence of FMF in Japanese case-control studies.

The presence of 2 single-nucleotide polymorphisms (SNPs) within exon 3 of the SAA1 gene, 2995 C/T and 3010 C/T, defined 3 haplotypes that corresponded to the SAA1.1, SAA1.3, and SAA1.5 isoforms [26]. In Japanese patients with RA, homozygote expression of the SAA1.3 allele was a proven risk factor, whereas SAA1.1 appeared to be protective for AA amyloidosis [27]. In contrast, a strong positive association with SAA1.1 has been established in Caucasian patients with amyloidosis secondary to juvenile idiopathic arthritis and FMF [28]–[30]. Moriguch et al. identified another SAA1 SNP, the -13T/C SNP in the 5′-flanking region of the SAA1 gene [17]. They observed the -13T allele was associated with AA amyloidosis, and associated with the SAA1.3 allele in Japanese RA patients [17]. Interestingly, a polymorphism in the SAA1 promoter -13T allele was found to be significantly associated with increased AA amyloidosis risk in both populations and to be in linkage disequilibrium with SAA1.1 and SAA1.3 in Caucasian and Japanese patients, thus apparently explaining the previous discrepancy [31]–[35]. Functional studies have demonstrated that the -13T allele is responsible for a higher transcriptional rate [36]. However, this did not result in higher serum levels of SAA, possibly due to increased proteolytic processing rates of SAA1.1 and SAA1.3 compared to SAA1.5 [37]. The mechanisms by which the -13T allele predisposes to FMF remains to be unraveled and many possibilities have been suggested.

The overproduction of IL-1β, induced by NLRP3 inflammasome activation, is responsible for a variety of autoinflammatory syndrome including FMF. The NLRP3 inflammasome has emerged as a critical cytosolic sensor for a number of endogenous mediators, including amyloid proteins [6]. Recent studies indicated that SAA activates the NLRP3 inflammasome in a cathepsin B and P2X7-dependent manner, resulting in the secretion of mature IL-1β [10]. The accumulation of newly formed AA amyloid fibrils and aberrant processing of SAA is relevant to AA amyloidogenesis [38]. Therefore, in subjects with AA amyloidogenic genetic factors, such as -13T allele, the presence of SAA-derived AA amyloid fibrils may implicate the NLRP3 inflammasome activation pathway, which is thought to be relevant to the pathogenesis of FMF. Jeru et al. demonstrated that the SAA1 genotype influenced the severity of FMF and disease susceptibility through a negative selection process, providing new insights into the role of SAA1 in the pathophysiology of FMF [39]. Assuming that SAA1 gene polymorphisms induce the formation of AA amyloid fibrils, this suggests that the polymorphisms may be associated with the NLRP3 inflammasome activation process and susceptibility to FMF. These findings may provide insights into modifier factors, other than MEFV, in the development of FMF.

The gender discrepancy (female dominant in incomplete FMF) seen in the present study may result from hormonal or associated environmental factors, which generate a disease of atypical or milder severity in female. For example, the risk for developing amyloidosis had been shown to be higher in male patients with FMF [40], [41]. These findings suggest that clinical variability observed in FMF may be party attributed to the influence of environmental factors including gender. The main limitations of the study are its localization to a certain country, and a limited number of patients.

In occlusion, this study shows a significant prevalence of the -13T allele in Japanese patients with FMF. This comparative case-control study demonstrated that the SAA1 gene polymorphisms might affect susceptibility to FMF, which is presumed to be a monogenic disease. Further studies are required to determine the impact of SAA1 gene polymorphisms and the occurrence of FMF in large studies in different geographic areas.

Ethics approval

This study was conducted with the approval of the ethical committees of Nagasaki Medical Center.

Author Contributions

Conceived and designed the experiments: KM KA JM HI AK RU YN . Performed the experiments: YJ YM MY. Analyzed the data: KM M. Nakamura YM. Contributed reagents/materials/analysis tools: SH YI TK M. Nakashima YF FN KE HF TN. Wrote the paper: KM M. Nakamura YM.

Citation: Migita K, Agematsu K, Masumoto J, Ida H, Honda S, Jiuchi Y, et al. (2013) The Contribution of SAA1 Polymorphisms to Familial Mediterranean Fever Susceptibility in the Japanese Population. PLoS ONE 8(2): e55227. https://doi.org/10.1371/journal.pone.0055227

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