Open Access

Possible association between Interleukin-1beta gene and schizophrenia in a Japanese population

  • Daimei Sasayama1, 2Email author,
  • Hiroaki Hori1, 3,
  • Toshiya Teraishi1,
  • Kotaro Hattori1,
  • Miho Ota1,
  • Yoshimi Iijima4,
  • Masahiko Tatsumi5,
  • Teruhiko Higuchi6,
  • Naoji Amano2 and
  • Hiroshi Kunugi1, 3
Behavioral and Brain Functions20117:35

DOI: 10.1186/1744-9081-7-35

Received: 27 April 2011

Accepted: 16 August 2011

Published: 16 August 2011

Abstract

Background

Several lines of evidence have implicated the pro-inflammatory cytokine interleukin-1beta (IL-1β) in the etiology of schizophrenia. Although a number of genetic association studies have been reported, very few have systematically examined gene-wide tagging polymorphisms.

Methods

A total of 533 patients with schizophrenia (302 males: mean age ± standard deviation 43.4 ± 13.0 years; 233 females; mean age 44.8 ± 15.3 years) and 1136 healthy controls (388 males: mean age 44.6 ± 17.3 years; 748 females; 46.3 ± 15.6 years) were recruited for this study. All subjects were biologically unrelated Japanese individuals. Five tagging polymorphisms of IL-1β gene (rs2853550, rs1143634, rs1143633, rs1143630, rs16944) were examined for association with schizophrenia.

Results

Significant difference in allele distribution was found between patients with schizophrenia and controls for rs1143633 (P = 0.0089). When the analysis was performed separately in each gender, significant difference between patients and controls in allele distribution of rs1143633 was observed in females (P = 0.0073). A trend towards association was also found between rs16944 and female patients with schizophrenia (P = 0.032).

Conclusions

The present study shows the first evidence that the IL-1β gene polymorphism rs1143633 is associated with schizophrenia susceptibility in a Japanese population. The results suggest the possibility that the influence of IL-1β gene variations on susceptibility to schizophrenia may be greater in females than in males. Findings of the present study provide further support for the role of IL-1β in the etiology of schizophrenia.

Background

Several lines of evidence suggest that pro-inflammatory cytokine interleukin-1beta (IL-1β) is implicated in the etiology and pathophysiology of schizophrenia. Although studies investigating peripheral levels of IL-1β in schizophrenic patients have reported inconsistent results [16], a study examining the cerebrospinal fluid has shown a marked elevation of IL-1β in patients with first-episode schizophrenia compared to healthy controls [7]. Kowalski et al [8] reported that the release of IL-1β by peripheral monocytes was increased before treatment and then normalized by antipsychotic medication in patients with schizophrenia. Recently, Liu et al. [9] showed that IL-1β in the peripheral blood mononuclear cells was overexpressed not only in schizophrenia patients but also in their siblings, suggesting the involvement of the hereditary factors. Furthermore, previous findings suggested that IL-1β may be involved in the possible link between prenatal exposure to infection and schizophrenia [10, 11].

The IL-1β gene is located in a region on 2q14. This region has consistently shown positive linkage findings in schizophrenia. Many studies have reported this region among their largest results [12, 13]. Furthermore, Lewis et al [14] have shown in their meta-analysis of 20 genome scans that 2p12-q22.1 was associated with a genomewide significant P value. Linkage of this region with schizophrenia in an Asian population has also been reported [15].

A number of genetic association studies have suggested that genetic variation of the IL-1β gene might confer susceptibility to schizophrenia. Three studies in Caucasian populations reported a significant association of schizophrenia with an IL-1β gene polymorphism rs16944 [1618]. However, this association was not confirmed in other studies [19, 20]. Furthermore, none of the previous studies in Asian populations have obtained evidence for an association between IL-1β gene and schizophrenia [2123]. All of the aforementioned association studies, except for that of Shirts, et al. [19], examined only rs16944 and/or rs1143634. Therefore, the role of other IL-1β gene polymorphisms remains to be determined. We here examined 5 tagging polymorphisms of the IL-1β gene for an association with schizophrenia in a Japanese sample.

Methods

Subjects

Subjects were 533 patients with schizophrenia (302 males: mean age ± standard deviation 43.4 ± 13.0 years; 233 females; mean age 44.8 ± 15.3 years) and 1136 healthy controls (388 males: mean age 44.6 ± 17.3 years; 748 females; 46.3 ± 15.6 years). The mean age at onset was 23.9 ± 8.0 and 25.8 ± 9.8 years for male and female patients, respectively. All subjects were biologically unrelated Japanese individuals, based on their self-reports, and were recruited from the outpatient clinic of the National Center of Neurology and Psychiatry Hospital, Tokyo, Japan or through advertisements in free local information magazines and by our website announcement. Consensus diagnosis by at least two psychiatrists was made for each patient according to the Diagnostic and Statistical Manual of Mental Disorders, 4th edition criteria [24], on the basis of unstructured interviews and information from medical records. The controls were healthy volunteers with no current or past history of psychiatric treatment, and were screened using the Japanese version of the Mini International Neuropsychiatric Interview (M.I.N.I.) [25, 26] by a research psychiatrist to rule out any axis I psychiatric disorders. Participants were excluded if they had prior medical histories of central nervous system disease or severe head injury, or if they met the criteria for substance abuse or dependence, or mental retardation. The study protocol was approved by the ethics committee at the National Center of Neurology and Psychiatry, Japan. After description of the study, written informed consent was obtained from every subject. Most of the subjects had participated in our previous genetic association studies [27, 28]. Some of the control subjects had also participated in our previous studies which examined IL-1β gene polymorphisms [29, 30].

Genotyping

Five tagging single nucleotide polymorphisms (SNPs) (rs2853550, rs1143634, rs1143633, rs1143630, rs16944) in a region 1 kilobase (kb) upstream to 1 kb downstream of the IL-1β gene (chromosome 2: 113,302,808 - 113,311,827 bp) were selected by Haploview 4.2 [31] using Japanese and Chinese population in the HapMap SNP set (version 22), at an r2 threshold of 0.80 with a minor allele frequency greater than 0.1. Genomic DNA was prepared from the venous blood according to standard procedures. The SNPs were genotyped using the TaqMan 5'-exonuclease allelic discrimination assay. Thermal cycling conditions for polymerase chain reaction were 1 cycle at 95°C for 10 minutes followed by 50 cycles of 92°C for 15 seconds and 60°C for 1 minute. The allele-specific fluorescence was measured with ABI PRISM 7900 Sequence Detection Systems (Applied Biosystems, Foster city, CA, USA). Genotype data were read blind to the case-control status. Ambiguous genotype data were not included in the analysis. The call rates for each SNP ranged from 97.7% to 98.6%. The genotyping failure rate for all SNPs combined was < 2%. In 92 subjects, all 5 SNPs were genotyped in duplicate to ensure genotyping accuracy, and the concordance rate of called genotypes was over 99%.

Statistical analysis

Deviations of genotype distributions from the Hardy-Weinberg equilibrium (HWE) were assessed with the exact test described by Wigginton et al [32]. Genotype and allele distributions were compared between patients and controls by using the χ2 test for independence or with Fisher's exact test. The above statistical analyses were performed using PLINK version 1.07 [33].

Haploview 4.2 [31] was used to estimate haplotype frequencies and linkage disequilibrium (LD) coefficients. Haplotypes with frequencies > 1% were included in the association analysis. Permutation procedure (10,000 replications) was used to determine the empirical significance.

Statistical tests were two tailed and statistical significance was considered when P < 0.05. Significance level corrected for multiple comparisons of 5 SNPs was set at P < 0.013 by a method proposed by Li et al [34], which was calculated using SNPSpD (SNP Spectral Decomposition) software [35].

Power calculations were performed using the Power Calculator for Two Stage Association Studies (http://www.sph.umich.edu/csg/abecasis/CaTS/). Power was calculated under prevalence of 0.01 using an allelic model with an alpha level of 0.05. Assuming disease allele frequencies of 0.20 and 0.40, our sample had 80% statistical power to detect relative risks of 1.28 and 1.23, respectively. Similarly, we had 90% power to detect relative risks of 1.33 and 1.27.

Since several aspects of immunity have marked sex differences [36], analyses were performed not only for the entire sample but also for each gender separately. Assuming allele frequency of 0.40, male and female samples each had 80% statistical power to detect relative risks of 1.35 and 1.34, respectively.

Results

Genotype and allele distributions of the examined SNPs for the entire sample, males, and females are shown in Table 1, 2, and 3, respectively. The genotype distributions did not significantly deviate from the HWE in any of the SNPs examined. Significant differences in genotype and allele distributions were found between the patients with schizophrenia and controls for rs1143633. The C allele was significantly more common in patients than in controls (odds ratio 1.22, 95% confidence interval (CI) 1.05 to 1.41, P = 0.0089). This association remained significant after correcting for multiple testing of 5 SNPs (corrected P = 0.013). When the analysis was performed separately in each gender, significant difference between patients and controls in allele distribution of rs1143633 was observed only in females (odds ratio 1.34, 95% CI 1.08 to 1.66, P = 0.0073). The A allele of rs16944 also showed a trend towards association with schizophrenia in female subjects (odds ratio 1.26, 95% CI 1.02 to 1.56, P = 0.032).
Table 1

Association analysis of the 5 SNPs in both genders combined

   

Males

SNP name

Allele 1/2

 

N

Genotype

Allele

P-value

HWE P-value

    

1/1

1/2

2/2

1

2

Genotype

Allele

 

rs2853550

A/G

Schizophrenia

531

9

128

394

146

916

0.23

0.088

0.86

    

(0.02)

(0.24)

(0.74)

(0.14)

(0.86)

   
  

Controls

1115

14

232

869

260

1970

  

0.88

    

(0.01)

(0.21)

(0.78)

(0.12)

(0.88)

   

rs1143634

A/G

Schizophrenia

525

1

41

483

43

1007

0.97(a)

0.90

0.59

    

(0.00)

(0.08)

(0.92)

(0.04)

(0.96)

   
  

Controls

1121

2

90

1029

94

2148

1.00

  
    

(0.00)

(0.08)

(0.92)

(0.04)

(0.96)

   

rs1143633

C/T

Schizophrenia

524

111

249

164

471

577

0.035

0.0089

0.38

    

(0.21)

(0.48)

(0.31)

(0.45)

(0.55)

   
  

Controls

1123

188

525

410

901

1345

  

0.38

    

(0.17)

(0.47)

(0.37)

(0.40)

(0.60)

   

rs1143630

T/G

Schizophrenia

520

13

140

367

166

874

0.88

0.66

1.00

    

(0.03)

(0.27)

(0.71)

(0.16)

(0.84)

   
  

Controls

1119

24

296

799

344

1894

  

0.65

    

(0.02)

(0.26)

(0.71)

(0.15)

(0.85)

   

rs16944

A/G

Schizophrenia

521

123

253

145

499

543

0.18

0.060

0.54

    

(0.24)

(0.49)

(0.28)

(0.48)

(0.52)

   
  

Controls

1111

226

534

351

986

1236

  

0.39

    

(0.20)

(0.48)

(0.32)

(0.44)

(0.56)

   

(a) Calculated using Fisher's exact test.

SNP: single nucleotide polymorphism; HWE: Hardy-Weinberg Disequilibrium

Numbers in parentheses represent the frequencies of genotypes and alleles.

Table 2

Association analysis of the 5 SNPs in males

   

Males

SNP name

Allele 1/2

 

N

Genotype

Allele

P-value

HWE P-value

    

1/1

1/2

2/2

1

2

Genotype

Allele

 

rs2853550

A/G

Schizophrenia

300

4

74

222

82

518

0.68(a)

0.69

0.62

    

(0.01)

(0.25)

(0.74)

(0.14)

(0.86)

   
  

Controls

383

7

85

291

99

667

  

0.82

    

(0.02)

(0.22)

(0.76)

(0.13)

(0.87)

   

rs1143634

A/G

Schizophrenia

298

0

24

274

24

572

0.81(a)

0.82

1.00

    

(0.00)

(0.08)

(0.92)

(0.04)

(0.96)

   
  

Controls

383

1

27

355

29

737

  

0.42

    

(0.00)

(0.07)

(0.93)

(0.04)

(0.96)

   

rs1143633

C/T

Schizophrenia

299

59

145

95

263

335

0.43

0.47

0.81

    

(0.20)

(0.48)

(0.32)

(0.44)

(0.56)

   
  

Controls

383

77

168

138

322

444

  

0.059

    

(0.20)

(0.44)

(0.36)

(0.42)

(0.58)

   

rs1143630

T/G

Schizophrenia

295

7

81

207

95

495

0.75

0.73

1.00

    

(0.02)

(0.27)

(0.70)

(0.16)

(0.84)

   
  

Controls

383

6

106

271

118

648

  

0.32

    

(0.02)

(0.28)

(0.71)

(0.15)

(0.85)

   

rs16944

A/G

Schizophrenia

295

66

143

86

275

315

0.92

0.67

0.64

    

(0.22)

(0.48)

(0.29)

(0.47)

(0.53)

   
  

Controls

385

82

186

117

350

420

  

0.61

    

(0.21)

(0.48)

(0.30)

(0.45)

(0.55)

   

(a) Calculated using Fisher's exact test.

SNP: single nucleotide polymorphism; HWE: Hardy-Weinberg Disequilibrium

Numbers in parentheses represent the frequencies of genotypes and alleles.

Table 3

Association analysis of the 5 SNPs in females

   

Males

SNP name

Allele 1/2

 

N

Genotype

Allele

P-value

HWE P-value

    

1/1

1/2

2/2

1

2

Genotype

Allele

 

rs2853550

A/G

Schizophrenia

231

5

54

172

64

398

0.18

0.096

0.78

    

(0.02)

(0.23)

(0.74)

(0.14)

(0.86)

   
  

Controls

732

 

7

147

578

 

161

1303

0.57

    

(0.01)

(0.20)

(0.79)

(0.11)

(0.89)

   

rs1143634

A/G

Schizophrenia

227

1

17

209

19

435

0.46(a)

0.84

0.32

    

(0.00)

(0.07)

(0.92)

(0.04)

(0.96)

   
  

Controls

738

1

63

674

65

1411

  

1.00

   

(0.00)

(0.09)

(0.91)

(0.04)

(0.96)

    

rs1143633

C/T

Schizophrenia

225

52

104

69

208

242

0.013

0.0073

0.29

   

(0.23)

(0.46)

(0.31)

(0.46)

(0.54)

    
  

Controls

740

111

357

272

579

901

  

0.76

   

(0.15)

(0.48)

(0.37)

(0.39)

(0.61)

    

rs1143630

T/G

Schizophrenia

225

6

59

160

71

379

0.97

0.83

0.80

   

(0.03)

(0.26)

(0.71)

(0.16)

(0.84)

    
  

Controls

736

18

190

528

226

1246

  

0.89

   

(0.02)

(0.26)

(0.72)

(0.15)

(0.85)

    

rs16944

A/G

Schizophrenia

226

57

110

59

224

228

0.11

0.032

0.69

   

(0.25)

(0.49)

(0.26)

(0.50)

(0.50)

    
  

Controls

726

144

348

234

636

816

  

0.50

   

(0.20)

(0.48)

(0.32)

(0.44)

(0.56)

    

(a) Calculated using Fisher's exact test.

SNP: single nucleotide polymorphism; HWE: Hardy-Weinberg Disequilibrium

Numbers in parentheses represent the frequencies of genotypes and alleles. Significant P-values (< 0.013) are shown in boldface.

Linkage disequilibrium (LD) coefficients (D' and r2) and haplotype blocks are shown in Figure 1. Results of the haplotype association analyses are shown in Table 4. No significant difference in haplotype distribution was found between patients with schizophrenia and controls (all P > 0.05 by permutation test).
Figure 1

Haplotype block structure of the IL-1β gene. Genomic organization and linkage disequilibrium (LD) structure of the IL-1β gene are shown. Exons are shown as boxes. Shades of red represent extent of LD (darker red denotes D' = 1). Numbers in squares give r2 values multiplied by 100.

Table 4

Haplotype analysis of IL-1β gene polymorphisms

   

Males

Females

Block

Haplotype

Diagnosis

Carrier

Non-carrier

χ2

Nominal P value

Permutation P value

Carrier

Non-carrier

χ2

Nominal P value

Permutation P value

 

GT

Schizophrenia

336.3

265.7

0.557

0.456

0.957

251.0

213.0

6.240

0.0125

0.118

   

(0.559)

(0.441)

   

(0.541)

(0.459)

   
  

Controls

447.9

326.1

   

901.0

585.0

   
   

(0.579)

(0.421)

   

(0.606)

(0.394)

   

1

GC

Schizophrenia

183.1

418.9

0.216

0.642

0.995

149.0

315.0

2.298

0.130

0.691

   

(0.304)

(0.696)

   

(0.321)

(0.679)

   
  

Controls

226.4

547.6

   

422.5

1063.5

   
   

(0.293)

(0.707)

   

(0.284)

(0.716)

   
 

AC

Schizophrenia

82.6

519.4

0.215

0.643

0.995

63.7

400.3

3.281

0.0701

0.461

   

(0.137)

(0.863)

   

(0.137)

(0.863)

   
  

Controls

99.6

674.4

   

158.5

1327.5

   
   

(0.129)

(0.871)

   

(0.107)

(0.893)

   
 

GG

Schizophrenia

321.4

280.6

0.154

0.694

0.996

231.2

228.8

5.012

0.0252

0.207

   

(0.534)

(0.466)

   

(0.503)

(0.497)

   
  

Controls

422.6

353.4

   

837.4

652.6

   
   

(0.545)

(0.455)

   

(0.562)

(0.438)

   

2

GA

Schizophrenia

183.5

418.5

0.040

0.841

1.00

156.4

303.6

5.326

0.0210

0.178

   

(0.305)

(0.695)

   

(0.340)

(0.660)

   
  

Controls

232.7

543.3

   

422.8

1067.2

   
   

(0.300)

(0.700)

   

(0.284)

(0.716)

   
 

TA

Schizophrenia

97.1

504.9

0.081

0.776

0.999

72.4

387.6

0.027

0.869

1.00

   

(0.161)

(0.839)

   

(0.157)

(0.843)

   
  

Controls

120.7

655.3

   

229.8

1260.2

   
   

(0.156)

(0.844)

   

(0.154)

(0.846)

   

Numbers in parentheses represent the frequencies of haplotypes. Permutation P values were based on 10,000 permutations.

Discussion

To our knowledge, the present study is the largest study to date that examined the IL-1β gene polymorphisms for association with schizophrenia. The results provide the first evidence suggesting that the C allele of rs1143633 is associated with schizophrenia.

The study in a United States population by Shirts et al [19] was the only one that previously examined the association of schizophrenia with rs1143633, in which no significant difference was found in allele frequencies between patients and controls. Although Watanabe et al [23] have also examined 9 SNPs of the IL-1 gene complex in Japanese subjects, none of the SNPs examined in their study was in remarkable linkage disequilibrium with rs1143633 or rs16944 (all r2 < 0.1 based on HapMap Japanese and Han Chinese population data, release 22). The inconsistent results regarding the effect of rs1143633 between Shirts, et al [19] and our study may be attributable to ethnic difference. Indeed, a recent meta-analysis has shown a significant association of the G allele of rs16944 and the G allele carrier status of rs1143634 with a risk of schizophrenia in Caucasian, but not in Asian, populations [37]. Our samples provided sufficient power to detect relatively small relative risks, and therefore suggest that rs16944 and rs1143634 have no major effect on schizophrenia susceptibility in Asian populations, which is consistent with the previous Asian findings [2123]. However, there was a trend of association of rs16944, in the opposite direction to that of the Caucasians, with schizophrenia susceptibility in female subjects. Therefore, there remains a possibility that a larger study would yield a significant difference between Japanese female schizophrenic patients and controls in the allele frequency of rs16944.

A number of genome-wide association studies (GWAS) have searched for polymorphisms associated with schizophrenia [3843]. Although no evidence of association with IL-1β gene has been reported, common risk alleles in the major histocompatibility region on chromosome 6, which is involved in the immune response, have shown statistically significant evidence of association [3840]. Furthermore, a genome-wide pharmacogenomic study has shown that IL-1α rs11677416, which is in weak LD with rs1143633 (r2 = 0.094, D' = 0.809 based on HapMap Japanese and Han Chinese population data, release 22), was associated with response of neurocognitive symptoms to antipsychotic treatment [44]. These findings, together with ours, suggest genetic influence on immune alterations in schizophrenia.

A shift towards the T helper type 2 (Th2) system has been indicated in schizophrenia [4547]. IL-1β stimulates the production of prostaglandin E2, which is an important cofactor for the induction of T-helper lymphocyte activity towards Th2 direction. Significant increase in circulating mRNA expression levels of IL-1β has been observed in schizophrenic patients [9]. The changes in mRNA levels may reflect the genetic variation in IL-1β gene. The findings on biological roles of IL-1β polymorphisms, however, have not been consistent across studies. A/A genotype of rs16944 has been associated with higher gastric mucosa IL-1β levels in H. pylori positive population [48]. On the other hand, subjects with G/G genotype showed an increased release of IL-1β from mononuclear cells after stimulation with lipopolysaccharide [49]. Recent studies suggest that the functional role of rs16944 may depend on the IL-1β promoter region haplotypes including rs16944 and rs1143627 [5053]. Although the findings are inconsistent, these previous studies suggest that rs16944 could affect the expression levels of IL-1β. On the other hand, the influence of rs1143633 on IL-1β expression levels has not been previously reported.

Intriguingly, rs1143633 and rs16944 have also been associated with cortisol response to dexamethasone in healthy subjects [30]. Alleles associated with increased cortisol response to dexamethasone were shown to be associated with schizophrenia in the present study. Higher rates of non-suppression to dexamethasone compared to healthy subjects have been reported in schizophrenia [54] and schizotypy [55]. On the other hand, Ismail et al [56] reported that less than 2% of their schizophrenic patients were non-suppressors. Although the findings are inconsistent, these studies indicate that schizophrenia may be associated with alteration in hypothalamic- pituitary- adrenal (HPA) axis. Taken together, our findings suggest that IL-1β gene polymorphisms may play a role in the HPA axis alteration in schizophrenic patients.

Our results showed significant association of rs1143633 with schizophrenia in only females. Although our male sample was not large enough to detect a small relative risk, our data suggest that susceptibility to schizophrenia is more influenced by the IL-1β gene variation in females. To our knowledge, no previous studies have examined the gender differences in the association between IL-1β gene polymorphisms and schizophrenia. However, gender differences have been reported in the association between schizophrenia and RELA gene [27] encoding the major component of NF-κB, which is activated by IL-1β. Taken together with our results, the influence of IL-1β on susceptibility to schizophrenia may differ between genders. Indeed, gender differences in immunity have been reported in previous studies [36]. IL-1 release from mononucleated cells has been shown to be menstrual phase dependent in females and lower in males [57]. Furthermore, in vitro stimulation of lymphocytes with phytohemagglutinin has shown that females produce more Th2 cytokines than males [58]. Thus, future studies investigating associations of immune-related genes with schizophrenia should take into consideration the possible gender differences.

There are some limitations to this study. The ethnicity of the participants was based on self-reports and was not confirmed by genetic analyses. Our positive results might be derived from sample bias due to population stratification, although the Japanese are a relatively homogeneous population. Furthermore, structured interview such as SCID (Structured Clinical Interview for DSM) was not used for diagnosis in this study. Finally, the function of the IL-1β gene SNPs are unclear. Future studies are necessary to elucidate the function and its relationship with the pathogenesis of schizophrenia.

Conclusions

Our results suggest that rs1143633 of IL-1β gene is associated with schizophrenia susceptibility in a Japanese population and that the influence of IL-1β gene variations on susceptibility to schizophrenia may be greater in females than in males. We obtained no significant evidence for a well-studied polymorphism rs16944 being associated with schizophrenia, which is consistent with previous studies in Asian populations. However, a trend of higher A allele frequency of rs16944 in female patients with schizophrenia leaves open a possibility that a larger study may yield a significant difference. The results of the present study provide further support for the role of IL-1β in the etiology of schizophrenia. Future studies are warranted to replicate the present findings and to reveal the functional role of IL-1β gene in pathophysiology of schizophrenia.

Declarations

Acknowledgements

This study was supported by Health and Labor Sciences Research Grants (Comprehensive Research on Disability, Health, and Welfare), Grant-in-Aid for Scientific Research from the Japan Society for the Promotion of Science (JSPS), Core Research of Evolutional Science & Technology (CREST), Japan Science and Technology Agency (JST), the Strategic Research Program for Brain Sciences by the Ministry of Education, Culture, Sports, Science and Technology of Japan (Understanding of molecular and environmental bases for brain health), and Intramural Research Grant for Neurological and Psychiatric Disorders of NCNP (H.K.).

Authors’ Affiliations

(1)
Department of Mental Disorder Research, National Institute of Neuroscience, National Center of Neurology and Psychiatry
(2)
Department of Psychiatry, Shinshu University School of Medicine
(3)
Core Research of Evolutional Science & Technology (CREST), Japan Science and Technology Agency (JST)
(4)
Department of Medical Genetics, Majors of Medical Sciences, Graduate School of Comprehensive Human Sciences, University of Tsukuba
(5)
Yokohama Shinryo Clinic
(6)
National Center of Neurology and Psychiatry

References

  1. Baker I, Masserano J, Wyatt RJ: Serum cytokine concentrations in patients with schizophrenia. Schizophr Res. 1996, 20: 199-203. 10.1016/0920-9964(95)00089-5.View ArticlePubMedGoogle Scholar
  2. Barak V, Barak Y, Levine J, Nisman B, Roisman I: Changes in interleukin-1 beta and soluble interleukin-2 receptor levels in CSF and serum of schizophrenic patients. J Basic Clin Physiol Pharmacol. 1995, 6: 61-69. 10.1515/JBCPP.1995.6.1.61.View ArticlePubMedGoogle Scholar
  3. Katila H, Hurme M, Wahlbeck K, Appelberg B, Rimon R: Plasma and cerebrospinal fluid interleukin-1 beta and interleukin-6 in hospitalized schizophrenic patients. Neuropsychobiology. 1994, 30: 20-23. 10.1159/000119130.View ArticlePubMedGoogle Scholar
  4. Kim YK, Kim L, Lee MS: Relationships between interleukins, neurotransmitters and psychopathology in drug-free male schizophrenics. Schizophr Res. 2000, 44: 165-175. 10.1016/S0920-9964(99)00171-1.View ArticlePubMedGoogle Scholar
  5. Kim YK, Lee MS, Suh KY: Decreased interleukin-2 production in Korean schizophrenic patients. Biol Psychiatry. 1998, 43: 701-704. 10.1016/S0006-3223(97)00357-0.View ArticlePubMedGoogle Scholar
  6. Xu HM, Wei J, Hemmings GP: Changes of plasma concentrations of interleukin-1 alpha and interleukin-6 with neuroleptic treatment for schizophrenia. Br J Psychiatry. 1994, 164: 251-253. 10.1192/bjp.164.2.251.View ArticlePubMedGoogle Scholar
  7. Soderlund J, Schroder J, Nordin C, Samuelsson M, Walther-Jallow L, Karlsson H, Erhardt S, Engberg G: Activation of brain interleukin-1beta in schizophrenia. Mol Psychiatry. 2009, 14: 1069-1071. 10.1038/mp.2009.52.PubMed CentralView ArticlePubMedGoogle Scholar
  8. Kowalski J, Blada P, Kucia K, Madej A, Herman ZS: Neuroleptics normalize increased release of interleukin- 1 beta and tumor necrosis factor-alpha from monocytes in schizophrenia. Schizophr Res. 2001, 50: 169-175. 10.1016/S0920-9964(00)00156-0.View ArticlePubMedGoogle Scholar
  9. Liu L, Jia F, Yuan G, Chen Z, Yao J, Li H, Fang C: Tyrosine hydroxylase, interleukin-1beta and tumor necrosis factor-alpha are overexpressed in peripheral blood mononuclear cells from schizophrenia patients as determined by semi-quantitative analysis. Psychiatry Res. 2010, 176: 1-7. 10.1016/j.psychres.2008.10.024.View ArticlePubMedGoogle Scholar
  10. Gilmore JH, Fredrik Jarskog L, Vadlamudi S, Lauder JM: Prenatal infection and risk for schizophrenia: IL-1beta, IL-6, and TNFalpha inhibit cortical neuron dendrite development. Neuropsychopharmacology. 2004, 29: 1221-1229. 10.1038/sj.npp.1300446.View ArticlePubMedGoogle Scholar
  11. Marx CE, Jarskog LF, Lauder JM, Lieberman JA, Gilmore JH: Cytokine effects on cortical neuron MAP-2 immunoreactivity: implications for schizophrenia. Biol Psychiatry. 2001, 50: 743-749. 10.1016/S0006-3223(01)01209-4.View ArticlePubMedGoogle Scholar
  12. Levinson DF, Mahtani MM, Nancarrow DJ, Brown DM, Kruglyak L, Kirby A, Hayward NK, Crowe RR, Andreasen NC, Black DW: Genome scan of schizophrenia. Am J Psychiatry. 1998, 155: 741-750.PubMedGoogle Scholar
  13. DeLisi LE, Shaw SH, Crow TJ, Shields G, Smith AB, Larach VW, Wellman N, Loftus J, Nanthakumar B, Razi K: A genome-wide scan for linkage to chromosomal regions in 382 sibling pairs with schizophrenia or schizoaffective disorder. Am J Psychiatry. 2002, 159: 803-812. 10.1176/appi.ajp.159.5.803.View ArticlePubMedGoogle Scholar
  14. Lewis CM, Levinson DF, Wise LH, DeLisi LE, Straub RE, Hovatta I, Williams NM, Schwab SG, Pulver AE, Faraone SV: Genome scan meta-analysis of schizophrenia and bipolar disorder, part II: Schizophrenia. Am J Hum Genet. 2003, 73: 34-48. 10.1086/376549.PubMed CentralView ArticlePubMedGoogle Scholar
  15. Faraone SV, Hwu HG, Liu CM, Chen WJ, Tsuang MM, Liu SK, Shieh MH, Hwang TJ, Ou-Yang WC, Chen CY: Genome scan of Han Chinese schizophrenia families from Taiwan: confirmation of linkage to 10q22.3. Am J Psychiatry. 2006, 163: 1760-1766. 10.1176/appi.ajp.163.10.1760.View ArticlePubMedGoogle Scholar
  16. Hanninen K, Katila H, Saarela M, Rontu R, Mattila KM, Fan M, Hurme M, Lehtimaki T: Interleukin-1 beta gene polymorphism and its interactions with neuregulin-1 gene polymorphism are associated with schizophrenia. Eur Arch Psychiatry Clin Neurosci. 2008, 258: 10-15.View ArticlePubMedGoogle Scholar
  17. Papiol S, Rosa A, Gutierrez B, Martin B, Salgado P, Catalan R, Arias B, Fananas L: Interleukin-1 cluster is associated with genetic risk for schizophrenia and bipolar disorder. J Med Genet. 2004, 41: 219-223. 10.1136/jmg.2003.012914.PubMed CentralView ArticlePubMedGoogle Scholar
  18. Zanardini R, Bocchio-Chiavetto L, Scassellati C, Bonvicini C, Tura GB, Rossi G, Perez J, Gennarelli M: Association between IL-1beta -511C/T and IL-1RA (86bp)n repeats polymorphisms and schizophrenia. J Psychiatr Res. 2003, 37: 457-462. 10.1016/S0022-3956(03)00072-4.View ArticlePubMedGoogle Scholar
  19. Shirts BH, Wood J, Yolken RH, Nimgaonkar VL: Association study of IL10, IL1beta, and IL1RN and schizophrenia using tag SNPs from a comprehensive database: suggestive association with rs16944 at IL1beta. Schizophr Res. 2006, 88: 235-244. 10.1016/j.schres.2006.06.037.View ArticlePubMedGoogle Scholar
  20. Betcheva ET, Mushiroda T, Takahashi A, Kubo M, Karachanak SK, Zaharieva IT, Vazharova RV, Dimova II, Milanova VK, Tolev T: Case-control association study of 59 candidate genes reveals the DRD2 SNP rs6277 (C957T) as the only susceptibility factor for schizophrenia in the Bulgarian population. J Hum Genet. 2009, 54: 98-107. 10.1038/jhg.2008.14.View ArticlePubMedGoogle Scholar
  21. Chowdari KV, Xu K, Zhang F, Ma C, Li T, Xie BY, Wood J, Trucco M, Tsoi WF, Saha N: Immune related genetic polymorphisms and schizophrenia among the Chinese. Hum Immunol. 2001, 62: 714-724. 10.1016/S0198-8859(01)00256-7.View ArticlePubMedGoogle Scholar
  22. Tatsumi M, Sasaki T, Sakai T, Kamijima K, Fukuda R, Kunugi H, Hattori M, Nanko S: Genes for interleukin-2 receptor beta chain, interleukin-1 beta, and schizophrenia: no evidence for the association or linkage. Am J Med Genet. 1997, 74: 338-341. 10.1002/(SICI)1096-8628(19970531)74:3<338::AID-AJMG17>3.0.CO;2-P.View ArticlePubMedGoogle Scholar
  23. Watanabe Y, Nunokawa A, Kaneko N, Muratake T, Koizumi M, Someya T: Lack of association between the interleukin-1 gene complex and schizophrenia in a Japanese population. Psychiatry Clin Neurosci. 2007, 61: 364-369. 10.1111/j.1440-1819.2007.01671.x.View ArticlePubMedGoogle Scholar
  24. American Psychiatric Association: DSM-IV: Diagnostic and Statistical Manual of Mental Disorders. 1994, Washington D.C.: American Psychiatric Press, 4Google Scholar
  25. Sheehan DV, Lecrubier Y, Sheehan KH, Amorim P, Janavs J, Weiller E, Hergueta T, Baker R, Dunbar GC: The Mini-International Neuropsychiatric Interview (M.I.N.I.): the development and validation of a structured diagnostic psychiatric interview for DSM-IV and ICD-10. J Clin Psychiatry. 1998, 59 (Suppl 20): 22-33. quiz 34-57PubMedGoogle Scholar
  26. Otsubo T, Tanaka K, Koda R, Shinoda J, Sano N, Tanaka S, Aoyama H, Mimura M, Kamijima K: Reliability and validity of Japanese version of the Mini-International Neuropsychiatric Interview. Psychiatry Clin Neurosci. 2005, 59: 517-526. 10.1111/j.1440-1819.2005.01408.x.View ArticlePubMedGoogle Scholar
  27. Hashimoto R, Ohi K, Yasuda Y, Fukumoto M, Yamamori H, Takahashi H, Iwase M, Okochi T, Kazui H, Saitoh O: Variants of the RELA gene are associated with schizophrenia and their startle responses. Neuropsychopharmacology. 2011, 36: 1921-1931. 10.1038/npp.2011.78.PubMed CentralView ArticlePubMedGoogle Scholar
  28. Richards M, Iijima Y, Kondo H, Shizuno T, Hori H, Arima K, Saitoh O, Kunugi H: Association study of the vesicular monoamine transporter 1 (VMAT1) gene with schizophrenia in a Japanese population. Behav Brain Funct. 2006, 2: 39-10.1186/1744-9081-2-39.PubMed CentralView ArticlePubMedGoogle Scholar
  29. Sasayama D, Hori H, Teraishi T, Hattori K, Ota M, Matsuo J, Kawamoto Y, Kinoshita Y, Higuchi T, Amano N, Kunugi H: Association of interleukin-1beta genetic polymorphisms with cognitive performance in elderly females without dementia. J Hum Genet.
  30. Sasayama D, Hori H, Iijima Y, Teraishi T, Hattori K, Ota M, Fujii T, Higuchi T, Amano N, Kunugi H: Modulation of cortisol responses to the DEX/CRH test by polymorphisms of the interleukin-1beta gene in healthy adults. Behav Brain Funct. 2011, 7: 23-10.1186/1744-9081-7-23.PubMed CentralView ArticlePubMedGoogle Scholar
  31. Barrett JC, Fry B, Maller J, Daly MJ: Haploview: analysis and visualization of LD and haplotype maps. Bioinformatics. 2005, 21: 263-265. 10.1093/bioinformatics/bth457.View ArticlePubMedGoogle Scholar
  32. Wigginton JE, Cutler DJ, Abecasis GR: A note on exact tests of Hardy-Weinberg equilibrium. Am J Hum Genet. 2005, 76: 887-893. 10.1086/429864.PubMed CentralView ArticlePubMedGoogle Scholar
  33. Purcell S, Neale B, Todd-Brown K, Thomas L, Ferreira MA, Bender D, Maller J, Sklar P, de Bakker PI, Daly MJ, Sham PC: PLINK: a tool set for whole-genome association and population-based linkage analyses. Am J Hum Genet. 2007, 81: 559-575. 10.1086/519795.PubMed CentralView ArticlePubMedGoogle Scholar
  34. Li J, Ji L: Adjusting multiple testing in multilocus analyses using the eigenvalues of a correlation matrix. Heredity. 2005, 95: 221-227. 10.1038/sj.hdy.6800717.View ArticlePubMedGoogle Scholar
  35. Nyholt DR: A simple correction for multiple testing for single-nucleotide polymorphisms in linkage disequilibrium with each other. Am J Hum Genet. 2004, 74: 765-769. 10.1086/383251.PubMed CentralView ArticlePubMedGoogle Scholar
  36. Gillum TL, Kuennen MR, Schneider S, Moseley P: A review of sex differences in immune function after aerobic exercise. Exerc Immunol Rev. 2011, 17: 104-121.PubMedGoogle Scholar
  37. Xu M, He L: Convergent evidence shows a positive association of interleukin-1 gene complex locus with susceptibility to schizophrenia in the Caucasian population. Schizophr Res. 2010, 120: 131-142. 10.1016/j.schres.2010.02.1031.View ArticlePubMedGoogle Scholar
  38. Stefansson H, Ophoff RA, Steinberg S, Andreassen OA, Cichon S, Rujescu D, Werge T, Pietilainen OP, Mors O, Mortensen PB: Common variants conferring risk of schizophrenia. Nature. 2009, 460: 744-747.PubMed CentralPubMedGoogle Scholar
  39. Purcell SM, Wray NR, Stone JL, Visscher PM, O'Donovan MC, Sullivan PF, Sklar P: Common polygenic variation contributes to risk of schizophrenia and bipolar disorder. Nature. 2009, 460: 748-752.PubMedGoogle Scholar
  40. Shi J, Levinson DF, Duan J, Sanders AR, Zheng Y, Pe'er I, Dudbridge F, Holmans PA, Whittemore AS, Mowry BJ: Common variants on chromosome 6p22.1 are associated with schizophrenia. Nature. 2009, 460: 753-757.PubMed CentralPubMedGoogle Scholar
  41. Ikeda M, Aleksic B, Kinoshita Y, Okochi T, Kawashima K, Kushima I, Ito Y, Nakamura Y, Kishi T, Okumura T: Genome-wide association study of schizophrenia in a Japanese population. Biol Psychiatry. 2011, 69: 472-478. 10.1016/j.biopsych.2010.07.010.View ArticlePubMedGoogle Scholar
  42. Yamada K, Iwayama Y, Hattori E, Iwamoto K, Toyota T, Ohnishi T, Ohba H, Maekawa M, Kato T, Yoshikawa T: Genome-wide association study of schizophrenia in Japanese population. PLoS One. 2011, 6: e20468-10.1371/journal.pone.0020468.PubMed CentralView ArticlePubMedGoogle Scholar
  43. Rietschel M, Mattheisen M, Degenhardt F, Kahn RS, Linszen DH, Os JV, Wiersma D, Bruggeman R, Cahn W, de Haan L: Association between genetic variation in a region on chromosome 11 and schizophrenia in large samples from Europe. Mol Psychiatry.
  44. McClay JL, Adkins DE, Aberg K, Bukszar J, Khachane AN, Keefe RS, Perkins DO, McEvoy JP, Stroup TS, Vann RE: Genome-wide pharmacogenomic study of neurocognition as an indicator of antipsychotic treatment response in schizophrenia. Neuropsychopharmacology. 2010, 36: 616-626.PubMed CentralView ArticlePubMedGoogle Scholar
  45. Schwarz MJ, Chiang S, Muller N, Ackenheil M: T-helper-1 and T-helper-2 responses in psychiatric disorders. Brain Behav Immun. 2001, 15: 340-370. 10.1006/brbi.2001.0647.View ArticlePubMedGoogle Scholar
  46. Schwarz MJ, Muller N, Riedel M, Ackenheil M: The Th2-hypothesis of schizophrenia: a strategy to identify a subgroup of schizophrenia caused by immune mechanisms. Med Hypotheses. 2001, 56: 483-486. 10.1054/mehy.2000.1203.View ArticlePubMedGoogle Scholar
  47. Muller N, Riedel M, Gruber R, Ackenheil M, Schwarz MJ: The immune system and schizophrenia. An integrative view. Ann N Y Acad Sci. 2000, 917: 456-467.View ArticlePubMedGoogle Scholar
  48. Hwang IR, Kodama T, Kikuchi S, Sakai K, Peterson LE, Graham DY, Yamaoka Y: Effect of interleukin 1 polymorphisms on gastric mucosal interleukin 1beta production in Helicobacter pylori infection. Gastroenterology. 2002, 123: 1793-1803. 10.1053/gast.2002.37043.View ArticlePubMedGoogle Scholar
  49. Iacoviello L, Di Castelnuovo A, Gattone M, Pezzini A, Assanelli D, Lorenzet R, Del Zotto E, Colombo M, Napoleone E, Amore C: Polymorphisms of the interleukin-1beta gene affect the risk of myocardial infarction and ischemic stroke at young age and the response of mononuclear cells to stimulation in vitro. Arterioscler Thromb Vasc Biol. 2005, 25: 222-227.PubMedGoogle Scholar
  50. Chen H, Wilkins LM, Aziz N, Cannings C, Wyllie DH, Bingle C, Rogus J, Beck JD, Offenbacher S, Cork MJ: Single nucleotide polymorphisms in the human interleukin-1B gene affect transcription according to haplotype context. Hum Mol Genet. 2006, 15: 519-529. 10.1093/hmg/ddi469.View ArticlePubMedGoogle Scholar
  51. Wen AQ, Wang J, Feng K, Zhu PF, Wang ZG, Jiang JX: Effects of haplotypes in the interleukin 1beta promoter on lipopolysaccharide-induced interleukin 1beta expression. Shock. 2006, 26: 25-30.View ArticlePubMedGoogle Scholar
  52. Wen AQ, Gu W, Wang J, Feng K, Qin L, Ying C, Zhu PF, Wang ZG, Jiang JX: Clinical relevance of interleukin-1beta promoter polymorphisms (-1470, -511 and -31) in patients with major trauma. Shock. 2009Google Scholar
  53. Hall SK, Perregaux DG, Gabel CA, Woodworth T, Durham LK, Huizinga TW, Breedveld FC, Seymour AB: Correlation of polymorphic variation in the promoter region of the interleukin-1 beta gene with secretion of interleukin-1 beta protein. Arthritis Rheum. 2004, 50: 1976-1983. 10.1002/art.20310.View ArticlePubMedGoogle Scholar
  54. Sharma RP, Pandey GN, Janicak PG, Peterson J, Comaty JE, Davis JM: The effect of diagnosis and age on the DST: a metaanalytic approach. Biol Psychiatry. 1988, 24: 555-568. 10.1016/0006-3223(88)90166-7.View ArticlePubMedGoogle Scholar
  55. Hori H, Teraishi T, Ozeki Y, Hattori K, Sasayama D, Matsuo J, Kawamoto Y, Kinoshita Y, Higuchi T, Kunugi H: Schizotypal Personality in Healthy Adults Is Related to Blunted Cortisol Responses to the Combined Dexamethasone/Corticotropin-Releasing Hormone Test. Neuropsychobiology. 2011, 63: 232-241. 10.1159/000322146.View ArticlePubMedGoogle Scholar
  56. Ismail K, Murray RM, Wheeler MJ, O'Keane V: The dexamethasone suppression test in schizophrenia. Psychol Med. 1998, 28: 311-317. 10.1017/S0033291797006521.View ArticlePubMedGoogle Scholar
  57. Lynch EA, Dinarello CA, Cannon JG: Gender differences in IL-1 alpha, IL-1 beta, and IL-1 receptor antagonist secretion from mononuclear cells and urinary excretion. J Immunol. 1994, 153: 300-306.PubMedGoogle Scholar
  58. Giron-Gonzalez JA, Moral FJ, Elvira J, Garcia-Gil D, Guerrero F, Gavilan I, Escobar L: Consistent production of a higher TH1:TH2 cytokine ratio by stimulated T cells in men compared with women. Eur J Endocrinol. 2000, 143: 31-36. 10.1530/eje.0.1430031.View ArticlePubMedGoogle Scholar

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