Literature DB >> 21886583

No Association Between GRM3 and Japanese Methamphetamine-Induced Psychosis.

Tomoko Tsunoka1, Taro Kishi, Masashi Ikeda, Tsuyoshi Kitajima, Yoshio Yamanouchi, Yoko Kinoshita, Kunihiro Kawashima, Tomo Okochi, Takenori Okumura, Toshiya Inada, Hiroshi Ujike, Mitsuhiko Yamada, Naohisa Uchimura, Ichiro Sora, Masaomi Iyo, Norio Ozaki, Nakao Iwata.   

Abstract

UNLABELLED: Several investigations have suggested that abnormalities in glutamate neural transmission play a role in the pathophysiology of psychiatric disorders, including schizophrenia. The metabotropic glutamate 3 receptor (mGluR3) gene was reported to be associated with schizophrenia, and paranoid type schizophrenia has symptoms that are similar to those of methamphetamine-induced psychosis. This suggests that mGluR3 gene (GRM3) is a good candidate gene for the pathogenesis of methamphetamine-induced psychosis. To evaluate the association between GRM3 and methamphetamine-induced psychosis, we conducted a case-control study of Japanese samples (181 methamphetamine-induced psychosis and 232 controls).
METHODS: We selected one functional SNP (rs6465084), reported to be associated with prefrontal brain functioning, for an association analysis. Written informed consent was obtained from each subject. This study was approved by the ethics committees at Fujita Health University, Nagoya University Graduate School of Medicine and each participating member of the Institute of the Japanese Genetics Initiative for Drug Abuse (JGIDA).
RESULTS: We did not detect an association between rs6465084 in GRM3 and Japanese methamphetamine-induced psychosis.
CONCLUSION: Our findings suggest that rs6465084 in GRM3 does not play a major role in the pathophysiology of methamphetamine-induced psychosis in the Japanese population. However, because we did not perform an association analysis based on linkage disequilibrium (LD) or a mutation scan of GRM3, a replication study using a larger sample and based on LD may be required for conclusive results.

Entities:  

Keywords:  GRM3; Methamphetamine-Induced Psychosis; case-control study.

Year:  2011        PMID: 21886583      PMCID: PMC3137173          DOI: 10.2174/157015911795017001

Source DB:  PubMed          Journal:  Curr Neuropharmacol        ISSN: 1570-159X            Impact factor:   7.363


INTRODUCTION

The glutamate hypothesis is one of the prevailing hypotheses for the pathophysiology of schizophrenia [1]. Also, a recent clinical study showed that LY379268, an agonist of metabotropic glutamate 2/3 receptor (mGluR2/3) that is involved in group II mGluR regulate glutamate neurotransmission through a presynaptic negative regulatory mechanism, has an effect on psychotic symptoms in schizophrenia almost equivalent to that of olanzapine [1]. Several investigations have suggested that metabotropic glutamate 3 receptor (mGluR3) gene has an association with schizophrenia [2-4]. Since the symptoms of methamphetamine-induced psychosis are similar to those of paranoid type schizophrenia [5], it would seem that the mGluR3 gene (GRM3) is a good candidate gene for the pathogenesis of methamphetamine-induced psychosis. To evaluate the association between GRM3 and methamphetamine-induced psychosis, we conducted a case-control study of Japanese samples (181 methamphetamine-induced psychosis patients and 232 controls). The mGluR3 gene (GRM3 OMIM *601115, 6 exons in a genomic region spanning 221.763Kb) is at 7q21. We selected rs6465084 in GRM3, which is reported to be associated with prefrontal brain functioning. Rs6465084 has been found to be associated with decreased verbal list learning and verbal fluency [3]. In addition, Egan and colleagues reported that the rs6465084 A allele predicted decreased levels of N-acetylaspartate in the prefrontal cortex in an in vivo study, and suggested that the rs6465084 A allele reduced tissue glutamate levels and synaptic abundance [3].

MATERIALS AND METHODS

Subjects

The subjects in the association analysis were 181 methamphetamine- induced psychosis patients(155 males and 26females; mean age33.3 ± 11.4) and 232 controls (187males and 45females; mean age36.4 ± 11.3). All subjects were unrelated to each other, ethnically Japanese, and lived in the central area of Japan. The patients were diagnosed according to DSM-IV criteria with consensus of at least two experienced psychiatrists on the basis of unstructured interviews and a review of medical records. One hundred thirty-seven subjects with METH- induced psychosis also had dependence on drugs other than METH. Subjects with METH-induced psychosis were excluded if they had a clinical diagnosis of psychotic disorder, mood disorder, anxiety disorder or eating disorder. More detailed characterizations of these subjects have been published elsewhere [6-8]. All healthy controls were also psychiatrically screened based on unstructured interviews including current and past psychiatric history. None had severe medical complications such as cirrhosis, renal failure, heart failure or other Axis-I disorders according to DSM-IV. No structured methods were used to assess psychiatric symptoms in the controls, which included hospital staff, their families and medical students. The study was described to subjects and written informed consent was obtained from each. This study was approved by the Ethics Committee at Fujita Health University, Nagoya University School of Medicine and and each participating member of the Institute of the Japanese Genetics Initiative for Drug Abuse (JGIDA).

SNP Selection

We selected rs6465084 in GRM3, which is reported to be associated with prefrontal brain functioning, for the following association analysis.

SNP Genotyping

SNP genotyping was done using TaqMan assays (Applied Biosystems) [9].

Statistical Analysis

Genotype deviation from the Hardy-Weinberg equilibrium (HWE) was evaluated with the chi-square test (SAS/Genetics, release 8.2, SAS Japan Inc, Tokyo, Japan). Marker-trait association analysis was used to evaluate allele- and genotype-wise association with the chi-square test (SAS/Genetics, release 8.2, SAS Japan Inc, Tokyo, Japan). To control inflation of the type I error rate, we used Bonferroni’s correction. Power calculation was performed using a statistical program prepared by Purcell et al. The significant level for all statistical tests was 0.05.

RESULTS

Rs6465084 is in HWE. We detected no association between rs6465084 in GRM3 and METH-induced psychosis in the allele/genotype-wise analysis (Table ).

DISCUSSION

We performed an association study of rs6465084 in GRM3 and METH- induced psychosis in the Japanese population. Although, we recently found an association between GRM2 and METH- induced psychosis in the Japanese population [10], in the present study we detected no association between GRM3 with METH-induced psychosis. Egan and colleagues reported that the rs6465084 A allele predicted decreased levels of N-acetylaspartate in the prefrontal cortex in an in vivo study, and suggested that the rs6465084 A allele reduced tissue glutamate levels and synaptic abundance [3]. This influence of GRM3 on prefrontal cortex and cognitive function suggests that abnormalities in glutamate neurotransmission may be involved in the pathophysiology of METH- induced psychosis. However, we did not detect an association between GRM3 and METH-induced psychosis. We designed the present study based on common disease–common variants hypothesis (CD–CV hypothesis) [11]. In addition, we selected only one SNP in GRM3. A recent study has showed an association between common diseases such as schizophrenia and rare variants. If the genetic background of METH-induced psychosis is accurately described by the common disease-rare variants hypothesis, further investigation such as medical resequencing using larger samples will be required [8, 12-17]. There are a few limitations in this study. First, the lack of association may be due to biased samples, such as small sample sizes. Second, we selected only one SNP in GRM3. To overcome these limitations, it will be necessary conduct a replication study using gene based association analysis and larger samples.

CONCLUSION

Our results suggest that rs6465084 in GRM3 does might not play a role in the pathophysiology of METH-induced psychosis in the Japanese population. However, our results have limitations and replication study using gene-based association analysis and larger samples will be required.
Table 1

Association Analysis of GRM3 with MAP with Psychosis

SNPPhenotype[a]MAF[b]NGenotype DistributionP-Value[c]
TTTCCCHWEGenotypeAllele
rs6465084Controls0.09262321933540.1170.1530.941
A>GMAP with psychosis0.09111811483300.177

MAP with psychosis: methanphetamine use disorder with psychosis

MAF: major allele frequency

Hardy-Weinberg equilibrium.

  17 in total

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Authors:  Michael F Egan; Richard E Straub; Terry E Goldberg; Imtiaz Yakub; Joseph H Callicott; Ahmad R Hariri; Venkata S Mattay; Alessandro Bertolino; Thomas M Hyde; Cynthia Shannon-Weickert; Mayada Akil; Jeremy Crook; Radha Krishna Vakkalanka; Rishi Balkissoon; Richard A Gibbs; Joel E Kleinman; Daniel R Weinberger
Journal:  Proc Natl Acad Sci U S A       Date:  2004-08-13       Impact factor: 11.205

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Authors:  Taro Kishi; Tsuyoshi Kitajima; Masashi Ikeda; Yoshio Yamanouchi; Yoko Kinoshita; Kunihiro Kawashima; Tomo Okochi; Norio Ozaki; Nakao Iwata
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3.  Association analysis of GRM2 and HTR2A with methamphetamine-induced psychosis and schizophrenia in the Japanese population.

Authors:  Tomoko Tsunoka; Taro Kishi; Tsuyoshi Kitajima; Tomo Okochi; Takenori Okumura; Yoshio Yamanouchi; Yoko Kinoshita; Kunihiro Kawashima; Hiroshi Naitoh; Toshiya Inada; Hiroshi Ujike; Mitsuhiko Yamada; Naohisa Uchimura; Ichiro Sora; Masaomi Iyo; Norio Ozaki; Nakao Iwata
Journal:  Prog Neuropsychopharmacol Biol Psychiatry       Date:  2010-03-06       Impact factor: 5.067

4.  Association analysis of SIGMAR1 with major depressive disorder and SSRI response.

Authors:  Taro Kishi; Reiji Yoshimura; Tomo Okochi; Yasuhisa Fukuo; Tsuyoshi Kitajima; Takenori Okumura; Tomoko Tsunoka; Kunihiro Kawashima; Yoshio Yamanouchi; Yoko Kinoshita; Wakako Umene-Nakano; Hiroshi Naitoh; Jun Nakamura; Norio Ozaki; Nakao Iwata
Journal:  Neuropharmacology       Date:  2010-02-21       Impact factor: 5.250

5.  Association analysis of group II metabotropic glutamate receptor genes (GRM2 and GRM3) with mood disorders and fluvoxamine response in a Japanese population.

Authors:  Tomoko Tsunoka; Taro Kishi; Masashi Ikeda; Tsuyoshi Kitajima; Yoshio Yamanouchi; Yoko Kinoshita; Kunihiro Kawashima; Tomo Okochi; Takenori Okumura; Toshiya Inada; Norio Ozaki; Nakao Iwata
Journal:  Prog Neuropsychopharmacol Biol Psychiatry       Date:  2009-04-19       Impact factor: 5.067

6.  Orphan nuclear receptor Rev-erb alpha gene (NR1D1) and fluvoxamine response in major depressive disorder in the Japanese population.

Authors:  Taro Kishi; Tsuyoshi Kitajima; Masashi Ikeda; Yoshio Yamanouchi; Yoko Kinoshita; Kunihiro Kawashima; Tomo Okochi; Norio Ozaki; Nakao Iwata
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7.  Association study of clock gene (CLOCK) and schizophrenia and mood disorders in the Japanese population.

Authors:  Taro Kishi; Tsuyoshi Kitajima; Masashi Ikeda; Yoshio Yamanouchi; Yoko Kinoshita; Kunihiro Kawashima; Tomo Okochi; Takenori Okumura; Tomoko Tsunoka; Toshiya Inada; Norio Ozaki; Nakao Iwata
Journal:  Eur Arch Psychiatry Clin Neurosci       Date:  2009-02-17       Impact factor: 5.270

8.  CLOCK may predict the response to fluvoxamine treatment in Japanese major depressive disorder patients.

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9.  Acute exacerbation of paranoid psychotic state after long-term abstinence in patients with previous methamphetamine psychosis.

Authors:  M Sato; C C Chen; K Akiyama; S Otsuki
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10.  Serotonin 1A receptor gene is associated with Japanese methamphetamine-induced psychosis patients.

Authors:  Taro Kishi; Tomoko Tsunoka; Masashi Ikeda; Tsuyoshi Kitajima; Kunihiro Kawashima; Tomo Okochi; Takenori Okumura; Yoshio Yamanouchi; Yoko Kinoshita; Hiroshi Ujike; Toshiya Inada; Mitsuhiko Yamada; Naohisa Uchimura; Ichiro Sora; Masaomi Iyo; Norio Ozaki; Nakao Iwata
Journal:  Neuropharmacology       Date:  2009-09-10       Impact factor: 5.250

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