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Legaki E, Dovrolis N, Moscholiou N, Koutromanos I, Vassilopoulos E, Dakanalis A, Gazouli M, Tzavellas E. Altered Expression of Neuroplasticity-Related Genes in Alcohol Addiction and Treatment. Int J Mol Sci 2024; 25:11349. [PMID: 39518903 PMCID: PMC11546795 DOI: 10.3390/ijms252111349] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/26/2024] [Revised: 10/16/2024] [Accepted: 10/17/2024] [Indexed: 11/16/2024] Open
Abstract
Alcohol use disorder's complexity arises from genetic and environmental factors, with alcohol metabolism genes and neurotransmitter pathways being critical. This study aims to analyze synaptic plasticity gene expression changes in individuals with AUD in order to study their contribution to AUD development and to identify potential biomarkers of treatment response. RNA was extracted from whole peripheral blood (20 patients, 10 healthy controls), before and after treatment (Qiagen AllPrep RNA/DNA Mini Kit), and the gene expression of 84 genes related to neuroplasticity was studied using the RT2 Profiler for Human Synaptic Plasticity RT-PCR Array (PAHS-126ZA, Qiagen), comparing AUD patients to control and responders to non-responders. The potential prognostic/predictive biomarkers were searched using machine learning models. A total of 35 dysregulated genes were found in AUD patients. EPHB2, EGR, and AKT1 were increased, while TIMP1, NCAM1, and GRM2 were decreased. Responders showed distinct gene expression profiles at baseline. After treatment, the expression of 57 genes was normalized, while NCAM1, GRM2, and BDNF showed the most significant recovery. EGR4, INHBA, and NCAM1 emerged as potential biomarkers to predict treatment success. These results indicate that gene profiles in peripheral blood can serve as prognostic markers for the prognosis and treatment of AUD, although further validation is required.
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Affiliation(s)
- Evangelia Legaki
- Laboratory of Biology, Department of Basic Biological Science, School of Medicine, National and Kapodistrian University of Athens, 11527 Athens, Greece; (E.L.); (N.D.); (N.M.)
| | - Nikolas Dovrolis
- Laboratory of Biology, Department of Basic Biological Science, School of Medicine, National and Kapodistrian University of Athens, 11527 Athens, Greece; (E.L.); (N.D.); (N.M.)
| | - Nikoletta Moscholiou
- Laboratory of Biology, Department of Basic Biological Science, School of Medicine, National and Kapodistrian University of Athens, 11527 Athens, Greece; (E.L.); (N.D.); (N.M.)
| | - Ilias Koutromanos
- First Department of Psychiatry, “Aiginition” Hospital, School of Medicine, National and Kapodistrian University of Athens, 11528 Athens, Greece; (I.K.); (E.V.)
- Department of Psychiatry and Psychotherapy, Psychiatric Services Aargou AG, 5210 Brugg-Windisch, Switzerland
| | - Efthimios Vassilopoulos
- First Department of Psychiatry, “Aiginition” Hospital, School of Medicine, National and Kapodistrian University of Athens, 11528 Athens, Greece; (I.K.); (E.V.)
| | - Antonios Dakanalis
- Department of Medicine and Surgery, University of Milano Bicocca, Via Cadore 38, 20900 Monza, Italy;
| | - Maria Gazouli
- Laboratory of Biology, Department of Basic Biological Science, School of Medicine, National and Kapodistrian University of Athens, 11527 Athens, Greece; (E.L.); (N.D.); (N.M.)
| | - Elias Tzavellas
- First Department of Psychiatry, “Aiginition” Hospital, School of Medicine, National and Kapodistrian University of Athens, 11528 Athens, Greece; (I.K.); (E.V.)
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Liu L, Ren D, Li K, Ji L, Feng M, Li Z, Meng L, He G, Shi Y. Unraveling schizophrenia's genetic complexity through advanced causal inference and chromatin 3D conformation. Schizophr Res 2024; 270:476-485. [PMID: 38996525 DOI: 10.1016/j.schres.2024.07.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/18/2024] [Revised: 07/01/2024] [Accepted: 07/03/2024] [Indexed: 07/14/2024]
Abstract
Schizophrenia is a polygenic complex disease with a heritability as high as 80 %, yet the mechanism of polygenic interaction in its pathogenesis remains unclear. Studying the interaction and regulation of schizophrenia susceptibility genes is crucial for unraveling the pathogenesis of schizophrenia and developing antipsychotic drugs. Therefore, we developed a bioinformatics method named GRACI (Gene Regulation Analysis based on Causal Inference) based on the principles of information theory, a causal inference model, and high order chromatin 3D conformation. GRACI captures the interaction and regulatory relationships between schizophrenia susceptibility genes by analyzing genotyping data. Two datasets, comprising 1459 and 2065 samples respectively, were analyzed, and the gene networks from both datasets were constructed. GRACI showcased superior accuracy when compared to widely adopted methods for detecting gene-gene interactions and intergenic regulation. This alignment was further substantiated by its correlation with chromatin high-order conformation patterns. Using GRACI, we identified three potential genes-KCNN3, KCNH1, and KCND3-that are directly associated with schizophrenia pathogenesis. Furthermore, the results of GRACI on the standalone dataset illustrated the method's applicability to other complex diseases. GRACI download: https://github.com/liuliangjie19/GRACI.
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Affiliation(s)
- Liangjie Liu
- Bio-X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders, Shanghai Jiao Tong University, 1954 Huashan Road, Shanghai 200030, China; Shanghai Key Laboratory of Psychotic Disorders, and Brain Science and Technology Research Center, Shanghai Jiao Tong University, 1954 Huashan Road, Shanghai 200030, China
| | - Decheng Ren
- Bio-X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders, Shanghai Jiao Tong University, 1954 Huashan Road, Shanghai 200030, China; Shanghai Key Laboratory of Psychotic Disorders, and Brain Science and Technology Research Center, Shanghai Jiao Tong University, 1954 Huashan Road, Shanghai 200030, China
| | - Keyi Li
- Bio-X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders, Shanghai Jiao Tong University, 1954 Huashan Road, Shanghai 200030, China; Shanghai Key Laboratory of Psychotic Disorders, and Brain Science and Technology Research Center, Shanghai Jiao Tong University, 1954 Huashan Road, Shanghai 200030, China
| | - Lei Ji
- Bio-X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders, Shanghai Jiao Tong University, 1954 Huashan Road, Shanghai 200030, China; Shanghai Key Laboratory of Psychotic Disorders, and Brain Science and Technology Research Center, Shanghai Jiao Tong University, 1954 Huashan Road, Shanghai 200030, China
| | - Mofan Feng
- Bio-X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders, Shanghai Jiao Tong University, 1954 Huashan Road, Shanghai 200030, China; Shanghai Key Laboratory of Psychotic Disorders, and Brain Science and Technology Research Center, Shanghai Jiao Tong University, 1954 Huashan Road, Shanghai 200030, China
| | - Zhuoheng Li
- Department of Electrical Engineering and Computer Science, University of Michigan, 1301 Beal Avenue, Ann Arbor, MI 48109, USA
| | - Luming Meng
- Key Laboratory for Biobased Materials and Energy of Ministry of Education, College of Materials and Energy, South China Agricultural University, Guangzhou 510630, China
| | - Guang He
- Bio-X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders, Shanghai Jiao Tong University, 1954 Huashan Road, Shanghai 200030, China; Shanghai Key Laboratory of Psychotic Disorders, and Brain Science and Technology Research Center, Shanghai Jiao Tong University, 1954 Huashan Road, Shanghai 200030, China
| | - Yi Shi
- Bio-X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders, Shanghai Jiao Tong University, 1954 Huashan Road, Shanghai 200030, China; Shanghai Key Laboratory of Psychotic Disorders, and Brain Science and Technology Research Center, Shanghai Jiao Tong University, 1954 Huashan Road, Shanghai 200030, China; Research Institute for Doping Control, Shanghai University of Sport, Shanghai 200438, China.
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Bi W, Li J, Xiong M, Nasifu L, Tan M, Tai P, Jin Q, Zhang L, Zhu C, He B. EGR3 Polymorphism Is a Potential Susceptibility Factor of Schizophrenia Risk in a Chinese Population. Genet Test Mol Biomarkers 2024; 28:144-150. [PMID: 38657122 DOI: 10.1089/gtmb.2023.0562] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/26/2024] Open
Abstract
Objective: The purpose of this study was to evaluate the association between the single nucleotide polymorphisms (SNPs) (EGR3 rs1996147; EGR4 rs3813226, rs6747506; ERBB3 rs2292238; and ERBB4 rs707284, rs7560730) and the risk of schizophrenia (SZ) in a Chinese population. Materials and Methods: We conducted a case-control study, including 248 patients with SZ and 236 healthy controls matched for age and sex. The Mass-array platform was used to detect all the genotypes of the SNPs. Results: The results revealed that the EGR3 rs1996147 AA genotype was associated with borderline decreased SZ risk (AA vs. GG: adjusted OR = 0.43, 95% CI: 0.18-1.02, p = 0.06). However, no significant correlation was found between the other SNPs and overall SZ risk. Subgroup analysis also failed to show any significant association between all SNPs and the risk of SZ. Conclusion: In summary, this study revealed that the EGR3 rs1996147 AA genotype was associated with a borderline risk for SZ.
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Affiliation(s)
- Wen Bi
- Department of Laboratory Medicine, Nanjing First Hospital, Nanjing Medical University, Nanjing, China
| | - Jingjing Li
- Department of Laboratory Medicine, Nanjing First Hospital, Nanjing Medical University, Nanjing, China
| | - Mengqiu Xiong
- Department of Laboratory Medicine, Nanjing First Hospital, Nanjing Medical University, Nanjing, China
| | - Lubanga Nasifu
- Department of Laboratory Medicine, Nanjing First Hospital, Nanjing Medical University, Nanjing, China
- Department of Biology, Muni University, Arua, Uganda
| | - Mingjuan Tan
- Department of Laboratory Medicine, Nanjing First Hospital, Nanjing Medical University, Nanjing, China
| | - Ping Tai
- Department of Laboratory Medicine, Nanjing First Hospital, Nanjing Medical University, Nanjing, China
| | - Qing Jin
- Department of Laboratory Medicine, Nanjing First Hospital, Nanjing Medical University, Nanjing, China
| | - Lingyun Zhang
- Department of Laboratory Medicine, Zutangshan Hospital, Nanjing, China
| | - Chengbin Zhu
- Department of Laboratory Medicine, Nanjing First Hospital, Nanjing Medical University, Nanjing, China
| | - Bangshun He
- Department of Laboratory Medicine, Nanjing First Hospital, Nanjing Medical University, Nanjing, China
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Hu TM, Chen SJ, Hsu SH, Cheng MC. Functional analyses and effect of DNA methylation on the EGR1 gene in patients with schizophrenia. Psychiatry Res 2019; 275:276-282. [PMID: 30952071 DOI: 10.1016/j.psychres.2019.03.044] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/29/2018] [Revised: 03/14/2019] [Accepted: 03/26/2019] [Indexed: 11/29/2022]
Abstract
EGR1, involved in the regulation of synaptic plasticity, learning, and memory, is considered a candidate gene for schizophrenia. We resequenced the exonic regions of EGR1 in 516 patients with schizophrenia and conducted a reporter gene assay. We found two mutations including a rare mutation (c.-8C>T, rs561524195) and one common SNP (c.308-42C>T, rs11743810). The reporter gene assay showed c.-8C>T mutant did not affect promoter activity. Gene expression analyses showed that the average EGR1 mRNA and protein levels in lymphoblastoid cell lines of schizophrenia in male, but not female, were significantly higher than those in controls. We conducted in vitro DNA methylation reaction, luciferase activity assay, and pyrosequencing to assess DNA methylation of EGR1 expression underlying the pathophysiology of schizophrenia. DNA methylation of the EGR1 promoter region attenuated reporter activity, suggesting that DNA methylation regulates EGR1 expression. There were no statistically significant differences in DNA methylation levels of 17 CpG sites at the EGR1 promoter region between 64 patients with schizophrenia compared with 64 controls. These results suggest that the exonic mutations in EGR1 and DNA methylation regulating EGR1 expression might not be associated with schizophrenia. However, the gender-specific association of elevated EGR1 expression might be involved in the pathophysiology of schizophrenia.
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Affiliation(s)
- Tsung-Ming Hu
- Department of Psychiatry, Yuli Branch, Taipei Veterans General Hospital, Hualien County, Taiwan; Department of Long-Term Care, University of Kang Ning, Taipei City, Taiwan
| | - Shaw-Ji Chen
- Department of Psychiatry, Mackay Medical College, New Taipei City, Taiwan; Department of Psychiatry, Mackay Memorial Hospital, Taitung Branch, Taitung County, Taiwan
| | - Shih-Hsin Hsu
- Department of Psychiatry, Yuli Branch, Taipei Veterans General Hospital, Hualien County, Taiwan
| | - Min-Chih Cheng
- Department of Psychiatry, Yuli Branch, Taipei Veterans General Hospital, Hualien County, Taiwan.
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Zhang Y, Fang X, Fan W, Tang W, Cai J, Song L, Zhang C. Interaction between BDNF and TNF-α genes in schizophrenia. Psychoneuroendocrinology 2018; 89:1-6. [PMID: 29306772 DOI: 10.1016/j.psyneuen.2017.12.024] [Citation(s) in RCA: 30] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/23/2017] [Revised: 12/04/2017] [Accepted: 12/28/2017] [Indexed: 11/28/2022]
Abstract
OBJECTIVE Our recent work reported that tumor necrosis factor-α (TNF-α) is negatively correlated with brain-derived neurotrophic factor (BDNF) in patients with schizophrenia. A previous study has shown that TNF-α could regulate the extracellular secretion of BDNF. Therefore, we hypothesized that the TNF-α gene (TNF-α) may interact with the BDNF gene (BDNF) to influence schizophrenia risk. METHODS We recruited 694 patients with schizophrenia from three mental hospitals in Eastern China and 725 healthy controls. The Positive and Negative Syndrome Scale (PANSS) was employed to evaluate symptom severity. The Repeatable Battery for the Assessment of Neuropsychological Status (RBANS) was performed to assess cognitive function. The SNPs rs6265 in BDNF and rs1799964 in TNF-α were genotyped. RESULTS There were no significant differences in allele and genotype frequencies in either rs6265 or rs1799964 between the case and control groups. A significant association of rs6265 AA + AG × rs1799964 CC + CT with schizophrenia was observed (OR = 1.14, 95%CI: 1.02-1.27; P = .02). There were significant differences in the RBANS attention and total scores between the patients with rs6265A and rs1799964C alleles and those without these two alleles (P = .03 and P = .03 after Bonferroni correction, respectively). CONCLUSION Our findings provided preliminary evidence that the interaction of BDNF and TNF-α may confer susceptibility to schizophrenia and cognitive dysfunction.
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Affiliation(s)
- Yi Zhang
- Schizophrenia Program, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Xinyu Fang
- Schizophrenia Program, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Weixing Fan
- Department of Psychiatry, Jinhua Second Hospital, Jinhua, Zhejiang, China
| | - Wei Tang
- Department of Psychiatry, Wenzhou Kangning Hospital, Wenzhou, Zhejiang, China
| | - Jun Cai
- Schizophrenia Program, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Lisheng Song
- Schizophrenia Program, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Chen Zhang
- Schizophrenia Program, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
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Pfaffenseller B, da Silva Magalhães PV, De Bastiani MA, Castro MAA, Gallitano AL, Kapczinski F, Klamt F. Differential expression of transcriptional regulatory units in the prefrontal cortex of patients with bipolar disorder: potential role of early growth response gene 3. Transl Psychiatry 2016; 6:e805. [PMID: 27163206 PMCID: PMC5070056 DOI: 10.1038/tp.2016.78] [Citation(s) in RCA: 25] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/16/2016] [Accepted: 03/23/2016] [Indexed: 01/08/2023] Open
Abstract
Bipolar disorder (BD) is a severe mental illness with a strong genetic component. Despite its high degree of heritability, current genetic studies have failed to reveal individual loci of large effect size. In lieu of focusing on individual genes, we investigated regulatory units (regulons) in BD to identify candidate transcription factors (TFs) that regulate large groups of differentially expressed genes. Network-based approaches should elucidate the molecular pathways governing the pathophysiology of BD and reveal targets for potential therapeutic intervention. The data from a large-scale microarray study was used to reconstruct the transcriptional associations in the human prefrontal cortex, and results from two independent microarray data sets to obtain BD gene signatures. The regulatory network was derived by mapping the significant interactions between known TFs and all potential targets. Five regulons were identified in both transcriptional network models: early growth response 3 (EGR3), TSC22 domain family, member 4 (TSC22D4), interleukin enhancer-binding factor 2 (ILF2), Y-box binding protein 1 (YBX1) and MAP-kinase-activating death domain (MADD). With a high stringency threshold, the consensus across tests was achieved only for the EGR3 regulon. We identified EGR3 in the prefrontal cortex as a potential key target, robustly repressed in both BD signatures. Considering that EGR3 translates environmental stimuli into long-term changes in the brain, disruption in biological pathways involving EGR3 may induce an impaired response to stress and influence on risk for psychiatric disorders, particularly BD.
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Affiliation(s)
- B Pfaffenseller
- Bipolar Disorder Program, Laboratory of Molecular Psychiatry, Hospital de Clínicas de Porto Alegre, Porto Alegre, Brazil,Laboratory of Cellular Biochemistry, Department of Biochemistry, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil
| | - P V da Silva Magalhães
- Bipolar Disorder Program, Laboratory of Molecular Psychiatry, Hospital de Clínicas de Porto Alegre, Porto Alegre, Brazil,Department of Psychiatry, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil,Department of Psychiatry, Universidade Federal do Rio Grande do Sul, 2350 Ramiro Barcelos Street, Porto Alegre 90035 903, Brazil. E-mail:
| | - M A De Bastiani
- Laboratory of Cellular Biochemistry, Department of Biochemistry, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil
| | - M A A Castro
- Bioinformatics and Systems Biology Laboratory, Federal University of Paraná, Polytechnic Center, Curitiba, Brazil
| | - A L Gallitano
- Department of Basic Medical Sciences, University of Arizona College of Medicine, Phoenix, AZ, USA
| | - F Kapczinski
- Bipolar Disorder Program, Laboratory of Molecular Psychiatry, Hospital de Clínicas de Porto Alegre, Porto Alegre, Brazil,Department of Psychiatry, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil
| | - F Klamt
- Laboratory of Cellular Biochemistry, Department of Biochemistry, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil
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Association of SNPs in EGR3 and ARC with Schizophrenia Supports a Biological Pathway for Schizophrenia Risk. PLoS One 2015; 10:e0135076. [PMID: 26474411 PMCID: PMC4608790 DOI: 10.1371/journal.pone.0135076] [Citation(s) in RCA: 35] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/13/2015] [Accepted: 07/17/2015] [Indexed: 02/07/2023] Open
Abstract
We have previously hypothesized a biological pathway of activity-dependent synaptic plasticity proteins that addresses the dual genetic and environmental contributions to schizophrenia. Accordingly, variations in the immediate early gene EGR3, and its target ARC, should influence schizophrenia susceptibility. We used a pooled Next-Generation Sequencing approach to identify variants across these genes in U.S. populations of European (EU) and African (AA) descent. Three EGR3 and one ARC SNP were selected and genotyped for validation, and three SNPs were tested for association in a replication cohort. In the EU group of 386 schizophrenia cases and 150 controls EGR3 SNP rs1877670 and ARC SNP rs35900184 showed significant associations (p = 0.0078 and p = 0.0275, respectively). In the AA group of 185 cases and 50 controls, only the ARC SNP revealed significant association (p = 0.0448). The ARC SNP did not show association in the Han Chinese (CH) population. However, combining the EU, AA, and CH groups revealed a highly significant association of ARC SNP rs35900184 (p = 2.353 x 10−7; OR [95% CI] = 1.54 [1.310–1.820]). These findings support previously reported associations between EGR3 and schizophrenia. Moreover, this is the first report associating an ARC SNP with schizophrenia and supports recent large-scale GWAS findings implicating the ARC complex in schizophrenia risk. These results support the need for further investigation of the proposed pathway of environmentally responsive, synaptic plasticity-related, schizophrenia genes.
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Hu TM, Chen CH, Chuang YA, Hsu SH, Cheng MC. Resequencing of early growth response 2 (EGR2) gene revealed a recurrent patient-specific mutation in schizophrenia. Psychiatry Res 2015; 228:958-60. [PMID: 26119399 DOI: 10.1016/j.psychres.2015.05.035] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/02/2015] [Revised: 05/18/2015] [Accepted: 05/28/2015] [Indexed: 02/06/2023]
Abstract
Abnormal myelination is considered as part of the pathophysiology of schizophrenia. We resequenced the genomic DNA of the EGR2, which has a specific function in the myelination of peripheral nervous system, in 543 schizophrenic patients and 554 non-psychotic controls. We identified six known SNPs, which were not associated with schizophrenia. Nevertheless, we discovered 24 rare mutations, some of them were patient-specific, including a recurrent mutation (p.P173_Y174insP), which might be associated with the pathogenesis of schizophrenia.
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Affiliation(s)
- Tsung-Ming Hu
- Department of Psychiatry, Yuli Mental Health Research Center, Yuli Branch, Taipei Veterans General Hospital, Hualien, Taiwan
| | - Chia-Hsiang Chen
- Department of Psychiatry, Chang Gung Memorial Hospital at Linkou and Department and Graduate School of Biomedical Sciences Chang Gung University, Taoyuan, Taiwan
| | - Yang-An Chuang
- Department of Psychiatry, Yuli Mental Health Research Center, Yuli Branch, Taipei Veterans General Hospital, Hualien, Taiwan
| | - Shih-Hsin Hsu
- Department of Psychiatry, Yuli Mental Health Research Center, Yuli Branch, Taipei Veterans General Hospital, Hualien, Taiwan
| | - Min-Chih Cheng
- Department of Psychiatry, Yuli Mental Health Research Center, Yuli Branch, Taipei Veterans General Hospital, Hualien, Taiwan; Center for General Education, St. Mary׳s Junior College of Medicine, Nursing and Management, Yilan County, Taiwan.
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Wang S, Lu H, Ni J, Zhang J, Tang W, Lu W, Cai J, Zhang C. An evaluation of association between common variants in C4BPB/C4BPA genes and schizophrenia. Neurosci Lett 2015; 590:189-92. [DOI: 10.1016/j.neulet.2015.02.005] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2014] [Revised: 01/19/2015] [Accepted: 02/03/2015] [Indexed: 01/19/2023]
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Cai J, Zhang W, Yi Z, Lu W, Wu Z, Chen J, Yu S, Fang Y, Zhang C. Influence of polymorphisms in genes SLC1A1, GRIN2B, and GRIK2 on clozapine-induced obsessive-compulsive symptoms. Psychopharmacology (Berl) 2013; 230:49-55. [PMID: 23660601 DOI: 10.1007/s00213-013-3137-2] [Citation(s) in RCA: 50] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/03/2012] [Accepted: 04/27/2013] [Indexed: 11/26/2022]
Abstract
RATIONALE Clinical observations indicate that atypical antipsychotics, especially clozapine, induce obsessive-compulsive (OC) symptoms in schizophrenia patients. Recent data from neuroimaging and clinical trials suggest a role for altered glutamate neurotransmission in the etiology of OC disorder (OCD), and SLC1A1, GRIN2B, and GRIK2 have all been reported to regulate glutamate transmission and affect OCD pathophysiology. OBJECTIVES This study aimed to determine whether SLC1A1, GRIN2B, and GRIK2 are associated with clozapine-induced OC symptoms. METHODS A total of 250 clinically stable schizophrenia patients receiving clozapine treatment were recruited. The Yale-Brown Obsessive Compulsive Scale (Y-BOCS) was used to evaluate the severity of OC symptoms. Based on their Y-BOCS scores, 250 patients were divided into the OC and non-OC groups (patients with or without OC symptoms, respectively). Additionally, three reported OCD susceptibility polymorphisms, SLC1A1 (rs2228622), GRIN2B (rs890), and GRIK2 (rs1556995), were genotyped. RESULTS Trends of association with OC symptoms were observed in rs2228622A and rs890T alleles. SLC1A1 and GRIN2B interaction was found in the significant two-locus gene-gene interaction model (p = 0.0021), using the multifactor dimensionality reduction method. Further analysis showed a significant interaction between SLC1A1 and GRIN2B on the Y-BOCS score (F 6, 137 = 7.650, p < 0.001), and individuals with AA/TT genotypes had a significantly higher mean Y-BOCS score than those with other genotypes, except AG/TT. CONCLUSIONS These results suggest that SLC1A1, GRIN2B, and interactions between the two may potentially confer a susceptibility to OC symptoms in schizophrenia patients receiving clozapine.
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Affiliation(s)
- Jun Cai
- Schizophrenia Program, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, 200030, People's Republic of China
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Association of decreased prefrontal hemodynamic response during a verbal fluency task with EGR3 gene polymorphism in patients with schizophrenia and in healthy individuals. Neuroimage 2013; 85 Pt 1:527-34. [PMID: 23962955 DOI: 10.1016/j.neuroimage.2013.08.021] [Citation(s) in RCA: 22] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2013] [Revised: 08/08/2013] [Accepted: 08/10/2013] [Indexed: 12/19/2022] Open
Abstract
The early growth response 3 (EGR3) gene is an immediate early gene that is expressed throughout the brain and has been suggested as a potential susceptibility gene for schizophrenia (SZ). EGR3 impairment is associated with various neurodevelopmental dysfunctions, and some animal studies have reported a role for EGR3 function in the prefrontal cortex. Therefore, EGR3 genotype variation may be reflected in prefrontal function. By using multi-channel near-infrared spectroscopy (NIRS) in an imaging genetics approach, we tested for an association between the EGR3 gene polymorphism and prefrontal hemodynamic response during a cognitive task in patients with SZ. We assessed 73 chronic patients with SZ and 73 age-, gender-, and genotype-matched healthy controls (HC) who provided written informed consent. We used NIRS to measure changes in prefrontal oxygenated hemoglobin concentration (oxyHb) during the letter version of a verbal fluency task (VFT). Statistical comparisons were performed among EGR3 genotype subgroups (rs35201266, GG/GA/AA). The AA genotype group showed significantly smaller oxyHb increases in the left dorsolateral prefrontal cortex (DLPFC) during the VFT than the GG and GA genotype groups; this was true for both patients with SZ and HC. Our findings provide in vivo human evidence of a significant influence of EGR3 polymorphisms on prefrontal hemodynamic activation level in healthy adults and in patients with SZ. Genetic variation in EGR3 may affect prefrontal function through neurodevelopment. This study illustrates the usefulness of NIRS in imaging genetics investigations on psychiatric disorders.
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Cheng MC, Chuang YA, Lu CL, Chen YJ, Luu SU, Li JM, Hsu SH, Chen CH. Genetic and functional analyses of early growth response (EGR) family genes in schizophrenia. Prog Neuropsychopharmacol Biol Psychiatry 2012; 39:149-55. [PMID: 22691714 DOI: 10.1016/j.pnpbp.2012.06.004] [Citation(s) in RCA: 21] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/24/2012] [Revised: 06/01/2012] [Accepted: 06/02/2012] [Indexed: 12/21/2022]
Abstract
OBJECTIVE Early growth response genes (EGR1, 2, 3, and 4) encode a family of nuclear proteins that function as transcriptional regulators. They are involved in the regulation of synaptic plasticity, learning, and memory, and are implicated in the pathogenesis of schizophrenia. METHODS We conducted a genetic association analysis of 14 SNPs selected from the EGR1, 2, 3, and 4 genes of 564 patients with schizophrenia and 564 control subjects. We also conducted Western blot analysis and promoter activity assay to characterize the EGR genes associated with schizophrenia RESULTS We did not detect a true genetic association of these 14 SNPs with schizophrenia in this sample. However, we observed a nominal over-representation of C/C genotype of rs9990 of EGR2 in female schizophrenia as compared to female control subjects (p=0.012, uncorrected for multiple testing). Further study showed that the average mRNA level of the EGR2 gene in the lymphoblastoid cell lines of female schizophrenia patients was significantly higher than that in female control subjects (p=0.002). We also detected a nominal association of 4 SNPs (rs6747506, rs6718289, rs2229294, and rs3813226) of the EGR4 gene that form strong linkage disequilibrium with schizophrenia in males. Reporter gene assay showed that the haplotype T-A derived from rs6747506 and rs6718289 at the promoter region had significantly reduced promoter activity compared with the haplotype A-G. CONCLUSION Our data suggest a tendency of gender-specific association of EGR2 and EGR4 in schizophrenia, with an elevated expression of EGR2 in lympoblastoid cell lines of female schizophrenia patients and a reduced EGR4 gene expression in male schizophrenia patients.
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Affiliation(s)
- Min-Chih Cheng
- Department of Psychiatry, Yuli Mental Health Research Center, Yuli Veterans Hospital, Hualien, Taiwan
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Family-based association study of early growth response gene 3 with child bipolar I disorder. J Affect Disord 2012; 138:387-96. [PMID: 22370066 PMCID: PMC3349283 DOI: 10.1016/j.jad.2012.01.011] [Citation(s) in RCA: 12] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/20/2011] [Accepted: 01/04/2012] [Indexed: 01/02/2023]
Abstract
BACKGROUND The risk for relapse of child bipolar I disorder (BP-I) is highly correlated with environmental factors. Immediate early genes of the early growth response (EGR) gene family are activated at high levels in the brain in response to environmental events, including stress, and mediate numerous neurobiological processes that have been associated with mental illness risk. The objective of this study is to evaluate whether single nucleotide polymorphisms (SNPs) in EGR genes are associated with the risk to develop child bipolar I disorder. METHODS To investigate whether EGR genes may influence susceptibility to child bipolar I disorder (BP-I), we used Family Based Association Tests to examine whether SNPs in each of the EGR genes were associated with illness in 49 families. RESULTS Two SNPs in EGR3 displayed nominally significant associations with child BP-I (p=0.027 and p=0.028); though neither was statistically significant following correction for multiple comparisons. Haplotype association analysis indicated that these SNPs are in linkage disequilibrium (LD). None of the SNPs tested in EGR1, EGR2, or EGR4 was associated with child BP-I. LIMITATIONS This study was limited by small sample size, which resulted in it being underpowered to detect a significant association after correction for multiple comparisons. CONCLUSIONS Our study revealed a preliminary finding suggesting that EGR3, a gene that translates environmental stimuli into long-term changes in the brain, warrants further investigation for association with risk for child BP-I disorder in a larger sample. Such studies may help reveal mechanisms by which environment can interact with genetic predisposition to influence this severe mental illness.
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14
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A family-based association study of the EGR3 gene polymorphisms and schizophrenia. YI CHUAN = HEREDITAS 2012; 34:307-14. [DOI: 10.3724/sp.j.1005.2012.00307] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
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Kim SH, Song JY, Joo EJ, Lee KY, Shin SY, Lee YH, Ahn YM, Kim YS. Genetic association of the EGR2 gene with bipolar disorder in Korea. Exp Mol Med 2012; 44:121-9. [PMID: 22089088 PMCID: PMC3296808 DOI: 10.3858/emm.2012.44.2.007] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 11/10/2011] [Indexed: 12/23/2022] Open
Abstract
The early growth response gene 2 (EGR2) is located at chromosome 10q21, one of the susceptibility loci in bipolar disorder (BD). EGR2 is involved in cognitive function, myelination, and signal transduction related to neuregulin-ErbB receptor, Bcl-2 family proteins, and brain-derived neurotrophic factor. This study investigated the genetic association of the EGR2 gene with BD and schizophrenia (SPR) in Korea. In 946 subjects (350 healthy controls, 352 patients with BD, and 244 with SPR), nine single nucleotide polymorphisms (SNPs) in the EGR2 gene region were genotyped. Five SNPs showed nominally significant allelic associations with BD (rs2295814, rs61865882, rs10995315, rs2297488, and rs2297489), and the positive associations of all except rs2297488 remained significant after multiple testing correction. Linkage disequilibrium structure analysis revealed two haplotype blocks. Among the common identified haplotypes (frequency > 5%), 'T-G-A-C-T (block 1)' and 'A-A-G-C (block 2)' haplotypes were over-represented, while 'C-G-G-T-T (block 1)' haplotype was under-represented in BD. In contrast, no significant associations were found with SPR. Although an extended analysis with a larger sample size or independent replication is required, these findings suggest a genetic association of EGR2 with BD. Combined with a plausible biological function of EGR2, the EGR2 gene is a possible susceptibility gene in BD.
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Affiliation(s)
- Se Hyun Kim
- Department of Neuropsychiatry, Seoul National University Hospital, Korea
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16
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Zhang R, Lu S, Meng L, Min Z, Tian J, Valenzuela RK, Guo T, Tian L, Zhao W, Ma J. Genetic evidence for the association between the early growth response 3 (EGR3) gene and schizophrenia. PLoS One 2012; 7:e30237. [PMID: 22276163 PMCID: PMC3262808 DOI: 10.1371/journal.pone.0030237] [Citation(s) in RCA: 20] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2011] [Accepted: 12/16/2011] [Indexed: 01/26/2023] Open
Abstract
Recently, two genome scan meta-analysis studies have found strong evidence for the association of loci on chromosome 8p with schizophrenia. The early growth response 3 (EGR3) gene located in chromosome 8p21.3 was also found to be involved in the etiology of schizophrenia. However, subsequent studies failed to replicate this finding. To investigate the genetic role of EGR3 in Chinese patients, we genotyped four SNPs (average interval ∼2.3 kb) in the chromosome region of EGR3 in 470 Chinese schizophrenia patients and 480 healthy control subjects. The SNP rs35201266 (located in intron 1 of EGR3) showed significant differences between cases and controls in both genotype frequency distribution (P = 0.016) and allele frequency distribution (P = 0.009). Analysis of the haplotype rs35201266-rs3750192 provided significant evidence for association with schizophrenia (P = 0.0012); a significant difference was found for the common haplotype AG (P = 0.0005). Furthermore, significant associations were also found in several other two-, and three-SNP tests of haplotype analyses. The meta-analysis revealed a statistically significant association between rs35201266 and schizophrenia (P = 0.0001). In summary, our study supports the association of EGR3 with schizophrenia in our Han Chinese sample, and further functional exploration of the EGR3 gene will contribute to the molecular basis for the complex network underlying schizophrenia pathogenesis.
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Affiliation(s)
- Rui Zhang
- Department of Genetics and Molecular Biology, and Department of Epidemiology and Health Statistics, Xi'an Jiaotong University School of Medicine, Xi'an, Shaanxi, China
| | - Shemin Lu
- Department of Genetics and Molecular Biology, and Department of Epidemiology and Health Statistics, Xi'an Jiaotong University School of Medicine, Xi'an, Shaanxi, China
| | - Liesu Meng
- Department of Genetics and Molecular Biology, and Department of Epidemiology and Health Statistics, Xi'an Jiaotong University School of Medicine, Xi'an, Shaanxi, China
| | - Zixin Min
- Department of Genetics and Molecular Biology, and Department of Epidemiology and Health Statistics, Xi'an Jiaotong University School of Medicine, Xi'an, Shaanxi, China
| | - Juan Tian
- Department of Genetics and Molecular Biology, and Department of Epidemiology and Health Statistics, Xi'an Jiaotong University School of Medicine, Xi'an, Shaanxi, China
| | - Robert K. Valenzuela
- Arizona Health Science Center, University of Arizona, Tucson, Arizona, United States of America
| | - Tingwei Guo
- Albert Einstein College of Medicine, New York, New York, United States of America
| | - Lifang Tian
- Department of Genetics and Molecular Biology, and Department of Epidemiology and Health Statistics, Xi'an Jiaotong University School of Medicine, Xi'an, Shaanxi, China
| | - Wenxiang Zhao
- Department of Genetics and Molecular Biology, and Department of Epidemiology and Health Statistics, Xi'an Jiaotong University School of Medicine, Xi'an, Shaanxi, China
| | - Jie Ma
- Department of Genetics and Molecular Biology, and Department of Epidemiology and Health Statistics, Xi'an Jiaotong University School of Medicine, Xi'an, Shaanxi, China
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