Association of Polymorphisms of the Receptor for Advanced Glycation Endproducts Gene with Schizophrenia in a Han Chinese Population

Fu, Jiawu; Zuo, Xiang; Yin, Jingwen; Luo, Xudong; Li, Zheng; Lin, Juda; Zhao, Bin; Ma, Guoda; Li, Keshen

doi:https://doi.org/10.1155/2017/6379639

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Research Article | Open Access

Volume 2017 | Article ID 6379639 | https://doi.org/10.1155/2017/6379639

Association of Polymorphisms of the Receptor for Advanced Glycation Endproducts Gene with Schizophrenia in a Han Chinese Population

Jiawu Fu,^1,2Xiang Zuo,^1,2Jingwen Yin,³Xudong Luo,³Zheng Li,⁴Juda Lin,³Bin Zhao,^1,2Guoda Ma ,²and Keshen Li^2,5

Academic Editor: Margaret A. Niznikiewicz

Received17 Oct 2016

Revised07 Feb 2017

Accepted12 Feb 2017

Published08 Mar 2017

Abstract

Receptor for Advanced Glycation Endproducts (RAGE) is a member of the immunoglobulin superfamily that binds diverse ligands involved in the development of inflammatory damage and diverse chronic diseases including schizophrenia. Here, three single-nucleotide polymorphisms (SNPs) (G82S, -374T/A, and -429T/C) in the RAGE gene were genotyped in 923 patients with schizophrenia and 874 healthy-matched controls in a Han Chinese population using the SNaPshot technique. Additionally, we investigated the association among aforementioned SNPs with the clinical psychotic symptoms of the patients and neurocognitive function. Our study demonstrated that the frequencies of the TC + CC genotypes and the C allele in the -429T/C polymorphism were significantly lower in the patients compared with the controls ( and , resp.). However, the significant effect disappeared when using Bonferroni correction ( and , resp.). And there were no significant differences in the genotype and allele frequencies between the patients and the controls for G82S and -374T/A polymorphisms. Additionally, the -429T/C C allele carriers had marginally higher Symbol coding scores than the subjects with the TT genotypes [ and (corr) = 0.093]. Our data indicate that the RAGE -429T/C polymorphism may be associated with the susceptibility of schizophrenia.

1. Introduction

Schizophrenia is a complex psychiatric disorder which is characterized by distortion of thought, emotion, and behavior, with a lifetime risk of approximately 1% [1]. In recent years, neuroinflammatory responses, such as increases in proinflammatory mediators interleukin-6 (IL-6) and tumour necrosis factor-α (TNF-α), have been demonstrated to be involved in the pathology of schizophrenia [2]. Numerous studies have reported the strongest signal for schizophrenia in the genetic region (chromosome 6p22.1) which is closely related to the major histocompatibility complex (MHC) [3]. Based on these, many genes involved in the inflammatory processes may be considered to be associated with schizophrenia.

Receptor for Advanced Glycation Endproducts (RAGE) is a member of the immunoglobulin superfamily of cell surface molecules capable of interacting with diverse ligands, including advanced glycation endproducts (AGEs), high-mobility group box-1 proteins (HMGB1), and S100/calgranulins [4]. Recent studies have reported that the interaction of RAGE with S100B expressed on glial cells and neurons resulted in the activation of nuclear factor-κB (NF-κB), which in turn induced the secretion of the proinflammatory mediators IL-6 and TNF-α [5, 6]. Steiner et al. [7] showed that a reduction of S100B levels during reconvalescence from acute schizophrenia was regulated by its scavenger soluble Receptor for Advanced Glycation Endproducts (sRAGE), which was hypothesized to counteract the detrimental action of RAGE as a decoy receptor of the signaling pathway. Recently, decreased levels of circulating sRAGE have been found in the patients with schizophrenia, suggesting a loss of sRAGE or imbalance of RAGE/sRAGE as a potential pathogenetic mechanism in the development of schizophrenia [8]. Taken together, these observations make the gene encoding RAGE a logical candidate gene for schizophrenia.

The gene encoding RAGE, comprising eleven exons, is located on chromosome 6p21.3 near the major histocompatibility complex locus [9]. To date, the RAGE gene has been identified having several single-nucleotide polymorphisms (SNPs) including G82S (rs2070600), -374T/A (rs1800624), and -429T/C (rs1800625), which may have marked effects on the expression or function of RAGE. The -374T/A and -429T/C polymorphisms in the promoter region of the RAGE gene were shown to exert functional effects on the basal transcriptional activity, and the G82S polymorphism in the exon 3 of the RAGE gene displayed enhanced ligand-binding affinity and influenced the generation of proinflammatory mediators [10, 11]. A recent European case-control study presented evidence for an association between the G82S polymorphism in the RAGE gene and schizophrenia [12]. However, studies regarding the association of other polymorphisms in the RAGE gene with schizophrenia have not been previously investigated. Moreover, no study has hitherto investigated RAGE gene polymorphisms in the Han Chinese population. Based on the potential role of RAGE in the pathogenetic mechanism of schizophrenia, the aim of this study was to examine the potential association between the G82S, -374T/A, and -429T/C polymorphisms in the RAGE gene and schizophrenia in a Han Chinese population.

2. Materials and Methods

2.1. Subjects

The present study consecutively recruited 923 unrelated patients with schizophrenia (587 males and 336 females; mean age = years) and 874 healthy controls (528 males and 346 females; mean age = years) from the Department of Psychology and the Health Examination Center at the First Affiliated Hospital of Guangdong Medical University, respectively. The healthy controls were well matched for age and gender with the patients with schizophrenia ( and 0.164, resp.). All the aforementioned subjects were Han Chinese in origin. The patients with schizophrenia were diagnosed by at least two experienced senior psychiatrists on the basis of the Diagnostic and Statistical Manual of Mental Disorders IV (DSM-IV) criteria for schizophrenia. Meanwhile, the clinical psychotic symptoms of the patients with schizophrenia were evaluated using the Positive and Negative Syndrome Scale (PANSS) [13]. None of the patients with schizophrenia had histories of neurological disorders, organic brain damage, mental retardation, drug or alcohol abuse, metabolic illnesses, and autoimmune disorders. Additionally, all healthy controls lacked family histories (first-degree relatives) of psychiatric disorders, substance abuse diagnosis (excluding nicotine dependence), and serious somatic disorders. The present study was performed with the approval of the Ethics Committee of the First Affiliated Hospital of Guangdong Medical University. All participants provide informed consent, and the patients’ capacity to consent was confirmed by the direct relatives when required.

2.2. Genotyping

Genomic DNA from EDTA-treated peripheral blood was extracted using the TIANamp Blood DNA Kit (Tiangen Biotech, Beijing, China). A total of 1797 individuals were genotyped for the G82S, -374T/A, and -429T/C polymorphisms located in the RAGE gene using the SNaPshot technique (Applied Biosystems, Foster City, CA, USA) as described previously [14]. The polymerase chain reaction (PCR) primers used for the G82S polymorphism were 5′-GCTGGGGTTGAAGGCTTTTTCT-3′ (forward primer) and 5′-CCGGACAGAAGCTTGGAAGGTC-3′ (reverse primer), and the primers used for the -374T/A and -429T/C polymorphisms were 5′-CCCATCTTGATTGCGCAAAGTT-3′ and 5′-TCAAAAAACATGAGAAACCCCAGAA-3′.

2.3. Neurocognitive Function Assessment

The neurocognitive function of the patients with schizophrenia was evaluated using the Brief Assessment of Cognition in Schizophrenia (BACS) [15]. The BACS consisted of brief assessments of the following six aspects of cognition: working memory (digit sequencing task), verbal fluency (category instances and controlled oral word association test), verbal memory (list learning), motor speed (token motor task), reasoning and problem solving (Tower of London), and attention and processing speed (Symbol coding).

2.4. Statistical Analyses

The normally distributed quantitative data were expressed as mean ± standard deviations (SD) and were compared using Student’s -tests between the two different groups. The genotype and allele distributions in different groups were assessed with Pearson’s Chi-square test or Fisher’s exact two-tailed test. The Hardy-Weinberg Equilibrium (HWE) in the patients and the controls was checked using Pearson’s Chi-square test. Bonferroni correction for multiple testing was applied by the number of SNPs. All the statistical analyses were performed using SPSS 19.0 software for Windows, and the criterion for statistical significance was defined as . Power calculations were performed using the QUANTO 1.2 software (University of Southern California, LA, USA).

In addition, the linkage disequilibrium (LD) status of the G82S, -374T/A, and -429T/C polymorphisms was determined using the Haploview 4.2 program. Only those haplotypes with frequencies greater than 3% were further analyzed.

3. Results

3.1. Association Study of SNPs (G82S, -374T/A, and -429T/C) and Schizophrenia

The distribution of genotypes of the three SNPs (G82S, -374T/A, and -429T/C) reached the HWE in both the patients with schizophrenia and the controls (all ). Allele and genotype frequencies for the RAGE gene are shown in Table 1. A significant difference was found between the patients with schizophrenia and the controls in the distribution of the -429T/C polymorphism. The respective frequencies of TT, TC, and CC genotypes were 87.4%, 12.2%, and 0.3% in the patients with schizophrenia and 83.9%, 15.7%, and 0.5% in the controls. The prevalence of the TC + CC genotypes (C allele carriers) and C allele frequencies was significantly lower in the patients with schizophrenia than in the controls (12.6% versus 16.1%, , odds ratio [OR] = 0.747, 95% confidence interval [CI] = 0.573–0.974 and 6.4% versus 8.3%, , OR = 0.762, 95% CI = 0.592–0.980, resp.). Nevertheless, no statistically significant differences were observed after Bonferroni correction [ (corr) = 0.093 and (corr) = 0.102, resp.]. In addition, the male patients with schizophrenia showed marginally lower TC + CC genotypes and C allele frequencies compared to the controls (, OR = 0.697, 95% CI = 0.497–0.978 and , OR = 0.731, 95% CI = 0.531–1.007, resp.) (Table 2). However, for the G82S and -374T/A polymorphisms, there were no significant differences in the genotype and allele frequencies between the patients with schizophrenia and the controls (Table 1). Moreover, in the gender-stratified analysis, no significant differences were detected between the patients with schizophrenia and the controls (Table 2).

Power analysis revealed that, with our study sample and assuming a risk allele frequency of 8.3%, we would have 95.3% power to detect a genotype relative risk with an odds ratio of 1.5 at the 0.05 level. However, the power was 12.6% for an odds ratio of 1.1 at a significance level of 0.05.

For further analysis, our study also focused on the description of relevant clinical characteristics of 804 patients with schizophrenia distributed by genotype. None of the different genotypes of the three SNPs showed significant associations with age at onset, duration of illness, PANSS total score, and family psychotic history (Table 3). However, for the G82S polymorphism, the presence of the S variant was found to be associated with marginally higher scores in the P subscore compared with the carriers of the GG genotype [ and (corr) = 0.123]. Additionally, for the -374T/A polymorphism, the subjects with the TA + AA genotypes exhibited marginally higher P subscore in comparison with the subjects with the TT genotype [ and (corr) = 0.129].

3.2. Linkage Disequilibrium Analysis and Haplotype Analysis

We also performed a haplotype analysis based on the three SNPs (G82S, -374T/A, and -429T/C). Four out of five possible haplotypes revealed at least 3% frequencies in either the patients with schizophrenia or the controls. Analysis of the haplotype frequencies demonstrated no significant difference between the patients with schizophrenia and the controls (Table 4).

3.3. Neurocognitive Function Analysis

The sample for the neurocognitive function analysis using BACS consisted of 205 clinically stable patients with schizophrenia. No significant differences were found in the scores of the seven BACS items among the different genotypes of the G82S or -374T/A polymorphism. However, the -429T/C C allele carriers had marginally higher Symbol coding scores than the subjects with the TT genotypes [ and (corr) = 0.093] (Table 5).

4. Discussion

Increasing evidences have supported inflammation may act as critical driving force in the pathology of schizophrenia [16]. In line with the proinflammatory actions of the S100B-RAGE axis, strong evidence is implicating elevated serum and CSF levels of S100B in the psychopathology of schizophrenia. Further, the negative symptoms of the patients with schizophrenia have been found to correlate with increasing S100B serum levels [17, 18]. It has been reported that S100B exerts toxic effects on neurons in schizophrenia by inducing neuronal apoptosis via mechanisms involving RAGE-dependent overproduction of neuroinflammatory mediators. Additionally, sRAGE has been recently suggested to regulate the detrimental effects of S100B observed in the patients with schizophrenia [7]. Moreover, a recent case-control study of the Caucasian population identified the G82S polymorphism in the RAGE gene as a possible susceptibility locus for schizophrenia [12]. On the basis of these observations, it is reasonable to speculate that the RAGE gene might be a logical candidate involved in the underlying cause of schizophrenia.

In the present study, we have evaluated the potential association of the three polymorphisms (G82S, -374T/A, and -429T/C) of the RAGE gene with schizophrenia. To the best of our knowledge, this is the first study investigating the association of the RAGE genetic polymorphisms with schizophrenia in a Han Chinese population. The results of the present study provide evidence that a genetic variant in the promoter of the RAGE gene (-429T/C) may be associated with the risk of developing schizophrenia, in contrast with the G82S and -374T/A polymorphisms. Some evidences have showed that the RAGE gene polymorphisms could alter the expression or the function of RAGE, thus affecting the development of various diseases [10, 11]. The -429T/C polymorphism, in the promoter of the RAGE gene, has an obvious effect on transcriptional activity [19]. In this study, the TC + CC genotypes and the C allele in the patients with schizophrenia are marginally lower than controls. It indicated that the C allele of the -429T/C polymorphism may be a protective factor of schizophrenia. Interestingly, these results are in line with the observation of Zeng et al. who suggested that the C allele had significantly lower RAGE transcriptional activity compared with the T allele in human U937 cells [19]. Based on these findings, we speculate that the T > C variation may downregulate RAGE expression via altering gene transcriptional activity, thereby contributing to protective roles in schizophrenia. Additionally, our study demonstrated that the carriers with the -429T/C C allele had marginally higher Symbol coding scores for attention compared with the subjects with the TT genotypes [ and p (corr) = 0.093]. It is believed that the patients with schizophrenia commonly demonstrate a compromised neurocognitive profile, and the facets of cognition identified as impaired in the patients with schizophrenia mainly include attention, working memory, and social cognition [20]. With the present findings in mind, it is probable that the -429T/C polymorphism influences the cognitive function of the patients with schizophrenia.

The G82S polymorphism is located in exon 3 that codes for the ligand-binding site; it is possible that the observed effect of the S allele is associated with enhanced ligand binding, consequently increasing the downward receptor signaling [11]. Previous study has shown an association between the G82S polymorphism of the RAGE gene and the risk of schizophrenia in the Caucasian population. However, our data showed no significant differences in the genotype and allele frequencies between schizophrenia and controls in the Han Chinese population. The S allele frequency of the G82S polymorphism was higher in our Chinese population than the corresponding frequency in the Sweden (22.1% versus 3.1%) but was similar to those in the Northern Chinese population (http://hapmap.ncbi.nlm.nih.gov/). The distinction of these results might be due to the genetic heterogeneity in different cohorts, and this finding still needs to be replicated. Additionally, our study found that the RAGE G82S S allele carriers have marginally higher positive symptom scores than GG genotype carriers [ versus , and p (corr) = 0.123]. Interestingly, previous study has shown that the RAGE G82S S allele carriers have significantly higher scores for the psychoticism personality trait including suspicion subscales, which is included among the positive symptoms of schizophrenia [12]. It is conceivable that the RAGE gene polymorphisms may be associated with the positive symptoms and may serve as foundational evidence in developing more detailed phenotypic symptomology of schizophrenia.

In relation to the -374T/A polymorphism, in vitro experiments by Hudson et al. [10] demonstrated that the A allele resulted in a threefold increase in transcriptional activity compared with the T allele, which may alter RAGE-ligands interaction leading to altered downstream signaling cascade and consequently contributing to the etiology of diabetic vascular complications. However, no significant differences were found in the genotype and allele frequencies between schizophrenia and controls in our case-control study. This might be because the RAGE gene plays different roles in the pathogenesis of different diseases. Interestingly, we found that the RAGE -374T/A A allele carriers have marginally higher scores for the positive symptoms of schizophrenia compared with the TT-homozygote carriers [ versus , and (corr) = 0.129]. The animal experiment has showed that the transgenic mice with the overexpression of S100B would display the deficiency of learning ability and behavior disorder, suggesting that the potential relationship between the S100B and the positive symptoms of schizophrenia [21]. Based on these, we speculate that the -374T/A polymorphism alters the RAGE-S100B interaction leading to the alteration of the S100B level via influencing the transcriptional activity of the RAGE gene and thus affecting the positive symptoms of schizophrenia.

Our study has several limitations. First, power analysis revealed that, with our study sample and assuming a risk allele frequency of 8.3%, we would have 95.3% power to detect a genotype relative risk with an odds ratio of 1.5 at the 0.05 level. However, the power was 12.6% for an odds ratio of 1.1 at a significance level of 0.05. Therefore, a false negative result cannot be excluded. Second, our sample size in this study was relatively small, and no statistically significant differences were observed after Bonferroni correction. Furthermore, we did not conduct the study which clarified the relationship between other SNPs in the RAGE gene and schizophrenia.

In conclusion, our study is the first to describe the possible existence of an association of the RAGE gene polymorphism with the risk of schizophrenia in a Chinese population. Our data revealed that the RAGE gene -429T/C polymorphism may be associated with the susceptibility of schizophrenia in Chinese Han population, and the C allele of the -429T/C polymorphism may be a protective factor for schizophrenia.

Competing Interests

The authors declare no conflict of interests.

Authors’ Contributions

Jiawu Fu, Xiang Zuo, and Jingwen Yin contributed equally to this work.

Acknowledgments

This work was supported by funding from the US-China Biomedical Collaborative Research Program (Grant no. 81261120404), the National Nature Science Foundation of China (Grant nos. 31171219, 81271213, 81070878, 81271214, and 81670252), the Nature Science Foundation of Guangdong Province (Grant no. 2015A030313523), and the Science and Technology Innovation Fund of Guangdong Medical University (Grant no. 2XJ14057).

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Copyright © 2017 Jiawu Fu et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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