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Kang Y, Zhang Y, Huang K, Wang Z. Association of dopamine-based genetic risk score with dynamic low-frequency fluctuations in first-episode drug-naïve schizophrenia. Brain Imaging Behav 2023; 17:584-594. [PMID: 37382826 DOI: 10.1007/s11682-023-00786-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 06/11/2023] [Indexed: 06/30/2023]
Abstract
Alterations in dynamic intrinsic brain activity and signaling of neurotransmitters, such as dopamine, have been independently detected in schizophrenia patients. Yet, it remains unclear whether the dopamine genetic risk variants have association with brain intrinsic activity. We aimed to investigate the schizophrenia-specific dynamic amplitude of low frequency fluctuation (dALFF) altered pattern, and its association with dopamine genetic risk score in first-episode drug-naïve schizophrenia (FES). Fifty-two FES and 51 healthy controls were included. A sliding-window method based on the dALFF was adopted to estimate the dynamic alterations in intrinsic brain activity. Subjects were genotyped, and a genetic risk score (GRS), which combined the additive effects of ten risk genotypes from five dopamine-related genes, was calculated. We used the voxel-wise correlation analysis to explore the association of dopamine-GRS with dALFF. FES showed significantly increased dALFF left medial prefrontal cortex and significantly decreased dALFF in the right posterior cingulate cortex compared with healthy controls. Greater dopamine GRS in FES was associated with higher dALFF in the left middle frontal gyrus and left inferior parietal gyrus. Our findings indicate that cumulative dopamine genetic risk is associated with a known imaging phenotype for schizophrenia.
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Affiliation(s)
- Yafei Kang
- Shaanxi Provincial Key Research Center of Child Mental and Behavioral Health, School of Psychology, Shaanxi Normal University, Xi'an, China
| | - Youming Zhang
- Department of Radiology, Xiangya Hospital, Central South University, Changsha, China
| | - Kexin Huang
- West China Biomedical Big Data Centre, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
| | - Zhenhong Wang
- Shaanxi Provincial Key Research Center of Child Mental and Behavioral Health, School of Psychology, Shaanxi Normal University, Xi'an, China.
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2
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Zhang J, Hou S, Chi XQ, Shan HF, Li XW, Zhang QJ, Wang JL, Kang CB. Role of SNAP25 on the occurrence and development of eosinophilic gastritis. Medicine (Baltimore) 2023; 102:e34377. [PMID: 37478220 PMCID: PMC10662829 DOI: 10.1097/md.0000000000034377] [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: 02/21/2023] [Accepted: 06/27/2023] [Indexed: 07/23/2023] Open
Abstract
Eosinophilic gastritis is characterized by gastrointestinal symptoms accompanied by peripheral eosinophilia. This study aims to explore the association between eosinophilic gastritis and Synaptosome Associated Protein 25 (SNAP25), and provide a new direction for the diagnosis and treatment of eosinophilic gastritis. GSE54043 was downloaded from the gene expression omnibus database. Differentially expressed genes (DEGs) were screened. The functions of common DEGs were annotated by Database for Annotation, Visualization and Integrated Discovery and Metascape. The protein-protein interaction network of common DEGs was obtained by Search Tool for the Retrieval of Interacting Genes and visualized by Cytoscape. Significant modules were identified from the protein-protein interaction network. A total of 186 patients with eosinophilic gastritis were recruited. The clinical data were recorded and the expression levels of CPE, SST, PCSK2, SNAP25, and SYT4 were detected. Pearson chi-square test and Spearman correlation coefficient were used to analyze the relationship between eosinophilic gastritis and related parameters. Univariate and multivariate Logistic regression were used for further analysis. 353 DEGs were presented. The top 10 genes screened by cytoHubb were shown, and Veen diagram figured out 5 mutual genes. Pearson's chi-square test showed that SNAP25 (P < .001) was significantly associated with eosinophilic gastritis. Spearman correlation coefficient showed a significant correlation between eosinophilic gastritis and SNAP25 (ρ = -0.569, P < .001). Univariate logistic regression analysis showed that SNAP25 (OR = 0.046, 95% CI: 0.018-0.116, P < .001) was significantly associated with eosinophilic gastritis. Multivariate logistic regression analysis showed that SNAP25 (OR = 0.024, 95% CI: 0.007-0.075, P < .001) was significantly associated with eosinophilic gastritis. The low expression of SNAP25 gene in eosinophilic gastritis is associated with a higher risk of eosinophilic gastritis.
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Affiliation(s)
- Jie Zhang
- Gastrointestinal Rehabilitation Center, Beijing Rehabilitation Hospital Affiliated to Capital Medical University, Beijing, China
| | - Shiyang Hou
- Gastrointestinal Rehabilitation Center, Beijing Rehabilitation Hospital Affiliated to Capital Medical University, Beijing, China
| | - Xiao-qian Chi
- Gastrointestinal Rehabilitation Center, Beijing Rehabilitation Hospital Affiliated to Capital Medical University, Beijing, China
| | - Hai-feng Shan
- Gastrointestinal Rehabilitation Center, Beijing Rehabilitation Hospital Affiliated to Capital Medical University, Beijing, China
| | - Xiao-wei Li
- Gastrointestinal Rehabilitation Center, Beijing Rehabilitation Hospital Affiliated to Capital Medical University, Beijing, China
| | - Qi-jun Zhang
- Gastrointestinal Rehabilitation Center, Beijing Rehabilitation Hospital Affiliated to Capital Medical University, Beijing, China
| | - Jin-lei Wang
- Gastrointestinal Rehabilitation Center, Beijing Rehabilitation Hospital Affiliated to Capital Medical University, Beijing, China
| | - Chun-bo Kang
- Gastrointestinal Rehabilitation Center, Beijing Rehabilitation Hospital Affiliated to Capital Medical University, Beijing, China
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3
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Mpoulimari I, Zintzaras E. Synthesis of genetic association studies on autism spectrum disorders using a genetic model-free approach. Psychiatr Genet 2022; 32:91-104. [PMID: 35353796 DOI: 10.1097/ypg.0000000000000316] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
BACKGROUND Autism spectrum disorder (ASD) is a clinically and genetically heterogeneous group of neurodevelopmental disorders. Despite the extensive efforts of scientists, the etiology of ASD is far from completely elucidated. In an effort to enlighten the genetic architecture of ASDs, a meta-analysis of all available genetic association studies (GAS) was conducted. METHODS We searched in the Human Genome Epidemiology Navigator (HuGE Navigator) and PubMed for available case-control GAS of ASDs. The threshold for meta-analysis was two studies per genetic variant. The association between genotype distribution and ASDs was examined using the generalized linear odds ratio (ORG). For variants with available allele frequencies, the examined model was the allele contrast. RESULTS Overall, 57 candidate genes and 128 polymorphisms were investigated in 159 articles. In total 28 genetic polymorphisms have been shown to be associated with ASDs, that are harbored in 19 genes. Statistically significant results were revealed for the variants of the following genes adenosine deaminase (ADA), bone marrow stromal cell antigen-1 (CD157/BST1), Dopamine receptor D1 (DRD1), engrailed homolog 2 (EN2), met proto-oncogene (MET), methylenetetrahydrofolate reductase (MTHFR), solute carrier family 6 member 4 (SLC6A4), Synaptosomal-associated protein, 25kDa (SNAP-25) and vitamin D receptor (VDR). In the allele contrast model of cases versus healthy controls, significant associations were observed for Adrenoceptor Alpha 1B (ADRA1B), acetyl serotonin O - methyltransferase (ASMT), complement component 4B (C4B), dopamine receptor D3 (DRD3), met proto-oncogene (MET), neuroligin 4, X-linked (NLGN4), neurexin 1 (NRXN1), oxytocin receptor (OXTR), Serine/Threonine-Protein Kinase PFTAIRE-1 (PFTK1), Reelin (RELN) and Ras-like without CAAX 2 (RIT2). CONCLUSION These significant findings provide further evidence for genetic factors' implication in ASDs offering new perspectives in means of prevention and prognosis.
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Affiliation(s)
- Ioanna Mpoulimari
- Department of Biomathematics, Faculty of Medicine, University of Thessaly, Larissa, Greece
| | - Elias Zintzaras
- Department of Biomathematics, Faculty of Medicine, University of Thessaly, Larissa, Greece
- Department of Medicine, The Institute for Clinical Research and Health Policy Studies, Tufts Medical Center, Tufts University School of Medicine, Boston, Massachusetts, USA
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Influence of Receptor Polymorphisms on the Response to α-Adrenergic Receptor Blockers in Pheochromocytoma Patients. Biomedicines 2022; 10:biomedicines10040896. [PMID: 35453646 PMCID: PMC9028965 DOI: 10.3390/biomedicines10040896] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2022] [Revised: 04/06/2022] [Accepted: 04/08/2022] [Indexed: 02/05/2023] Open
Abstract
Background: Presurgical treatment with an α-adrenergic receptor blocker is recommended to antagonize the catecholamine-induced α-adrenergic receptor mediated vasoconstriction in patients with pheochromocytoma or sympathetic paraganglioma (PPGL). There is, however, a considerable interindividual variation in the dose-response relationship regarding the magnitude of blood pressure reduction or the occurrence of side effects. We hypothesized that genetically determined differences in α-adrenergic receptor activity contribute to this variability in dose-response relationship. Methods: Thirty-one single-nucleotide polymorphisms (SNPs) of the α1A, α1B, α1D adrenoreceptor (ADRA1A, ADRA1B, ADRA1D) and α2A, α2B adrenoreceptor (ADRA2A, ADRA2B) genes were genotyped in a group of 116 participants of the PRESCRIPT study. Haplotypes were constructed after determining linkage disequilibrium blocks. Results: The ADRA1B SNP rs10515807 and the ADRA2A SNPs rs553668/rs521674 were associated with higher dosages of α-adrenergic receptor blocker (p < 0.05) and with a higher occurrence of side effects (rs10515807) (p = 0.005). Similar associations were found for haplotype block 6, which is predominantly defined by rs10515807. Conclusions: This study suggests that genetic variability of α-adrenergic receptor genes might be associated with the clinically observed variation in beneficial and adverse therapeutic drug responses to α-adrenergic receptor blockers. Further studies in larger cohorts are needed to confirm our observations.
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Sofronov A, Dobrovolskaya A, Morozova A, Gorina E, Kolchev S, Gvozdetckii A. Association of gene polymorphisms DRD3 rs6280, COMT rs4680 and HTR2A rs7322347 with schizophrenia. Zh Nevrol Psikhiatr Im S S Korsakova 2022; 122:115-120. [DOI: 10.17116/jnevro2022122071115] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
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Latalova K, Sery O, Hosakova K, Hosak L. Gene-Environment Interactions in Major Mental Disorders in the Czech Republic. Neuropsychiatr Dis Treat 2020; 16:1147-1156. [PMID: 32440130 PMCID: PMC7212780 DOI: 10.2147/ndt.s238522] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/13/2019] [Accepted: 03/03/2020] [Indexed: 11/23/2022] Open
Abstract
BACKGROUND Mental disorders affect about one-third of the human population, are typically chronic and significantly decrease the quality of life. Presently, the treatment of mental illnesses is far from adequate with a substantial proportion of the patients being pharmacoresistant and suffering from relapses. One of the reasons for this complicated situation is that we do not precisely know about the causes of mental disorders, so their treatment cannot be causal. The etiology of a mental disorder is typically based on a combination of molecular (genetic) and environmental factors. AIM The aim of the project is to discover the gene-environment interactions (GxE) in a wide spectrum of mental disorders. METHODS The design of our study is innovative in the sense that we intend to study large groups of associated mental disorders as a whole instead of in isolation. This would enable us to map out the possible environmental causal factors in detail in relation to their character, magnitude and timing. The project also allows a study of genetics (including epigenetics and microbiomes) as well as the environment simultaneously. We plan on involving three study groups: the first group are patients suffering from schizophrenia or a mood disorder such as major depression, recurrent depressive disorder and bipolar affective disorder; the second group of patients have anxiety disorders; and the third group are healthy volunteers from the general population who are genetically unrelated. All of the study subjects will undergo the following assessments: a psychiatric examination, the identification of stressful life events with the aid of a questionnaire, the examination of their reaction to stress, genetic and epigenetic (microRNA) assessments and the analysis of oral and gut microbiome. CONCLUSION We expect that some of the genetic as well as environmental factors in the studied mental disorders are shared, while some others are specific. We also expect that the GxE (gene-environment interaction) in schizophrenic and affective disorders will be different from the GxE in anxiety disorders and that the GxE in the studied mental disorders will differ generally from the GxE in healthy volunteers. Our results can help in the prevention and individualized treatment of a range of mental disorders.
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Affiliation(s)
- Klara Latalova
- Department of Psychiatry, Palacky University Olomouc, School of Medicine and University Hospital Olomouc, Olomouc, Czech Republic
| | - Omar Sery
- Department of Biochemistry, Faculty of Science, Masaryk University, Brno, Czech Republic
- Laboratory of Neurobiology and Pathological Physiology, Institute of Animal Physiology and Genetics, Academy of Sciences of the Czech Republic, Brno, Czech Republic
| | - Kristyna Hosakova
- Department of Psychiatry, Charles University, School of Medicine in Hradec Kralove and University Hospital Hradec Kralove, Hradec Kralove, Czech Republic
| | - Ladislav Hosak
- Department of Psychiatry, Charles University, School of Medicine in Hradec Kralove and University Hospital Hradec Kralove, Hradec Kralove, Czech Republic
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Li N, Cao T, Wu X, Tang M, Xiang D, Cai H. Progress in Genetic Polymorphisms Related to Lipid Disturbances Induced by Atypical Antipsychotic Drugs. Front Pharmacol 2020; 10:1669. [PMID: 32116676 PMCID: PMC7011106 DOI: 10.3389/fphar.2019.01669] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/27/2018] [Accepted: 12/20/2019] [Indexed: 12/11/2022] Open
Abstract
Metabolic side effects such as weight gain and disturbed lipid metabolism are often observed in the treatment of atypical antipsychotic drugs (AAPDs), which contribute to an excessive prevalence of metabolic syndrome among schizophrenic patients. Great individual differences are observed but the underlying mechanisms are still uncertain. Research on pharmacogenomics indicates that gene polymorphisms involved in the pathways controlling food intake and lipid metabolism may play a significant role. In this review, relevant genes (HTR2C, DRD2, LEP, NPY, MC4R, BDNF, MC4R, CNR1, INSIG2, ADRA2A) and genetic polymorphisms related to metabolic side effects of AAPDs especially dyslipidemia were summarized. Apart from clinical studies, in vitro and in vivo evidence is also analyzed to support related theories. The association of central and peripheral mechanisms is emphasized, enabling the possibility of using peripheral gene expression to predict the central status. Novel methodological development of pharmacogenomics is in urgent need, so as to provide references for individualized medication and further to shed some light on the mechanisms underlying AAPD-induced lipid disturbances.
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Affiliation(s)
- Nana Li
- Department of Pharmacy, The Second Xiangya Hospital of Central South University, Changsha, China.,Institute of Clinical Pharmacy, Central South University, Changsha, China
| | - Ting Cao
- Department of Pharmacy, The Second Xiangya Hospital of Central South University, Changsha, China.,Institute of Clinical Pharmacy, Central South University, Changsha, China
| | - Xiangxin Wu
- Department of Pharmacy, The Second Xiangya Hospital of Central South University, Changsha, China.,Institute of Clinical Pharmacy, Central South University, Changsha, China
| | - Mimi Tang
- Department of Pharmacy, Xiangya Hospital, Central South University, Changsha, China.,Institute of Hospital Pharmacy, Xiangya Hospital, Central South University, Changsha, China
| | - Daxiong Xiang
- Department of Pharmacy, The Second Xiangya Hospital of Central South University, Changsha, China.,Institute of Clinical Pharmacy, Central South University, Changsha, China
| | - Hualin Cai
- Department of Pharmacy, The Second Xiangya Hospital of Central South University, Changsha, China.,Institute of Clinical Pharmacy, Central South University, Changsha, China
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8
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Kang Y, Zhang W, Lv Y, Cai S, Xu H, Wang J, Huang L. Effects of the 5-HT2A and DRD3 genotypes on cortical morphology and functional connectivity density in drug-naïve first episode schizophrenia. Schizophr Res 2020; 216:213-221. [PMID: 31813806 DOI: 10.1016/j.schres.2019.11.058] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/18/2019] [Revised: 11/21/2019] [Accepted: 11/29/2019] [Indexed: 01/10/2023]
Abstract
The 5-hydroxytryptamine 2A receptor (5-HT2A) and dopamine D3 receptor (DRD3) have been extensively studied as promising candidate genes for schizophrenia. Magnetic resonance imaging studies have demonstrated that schizophrenia is associated with widespread structural and functional abnormalities in the brain. Serotonin and dopamine receptors play crucial roles in the development of the human cerebral cortex and brain activity. However, how the 5-HT2A and DRD3 genes impact brain structure and function in schizophrenia remains unknown. In the present study, we investigated the main effect of disease state and the interaction effect between disease state and genotype of these two genes on cortical volume, thickness, surface area and functional connectivity density (FCD) in fifty-five drug-naïve first episode schizophrenia patients and fifty-three healthy controls. We found that the differences in local FCD (lFCD) and global FCD (gFCD) between patients and healthy controls were predominantly located in brain hub regions. The significant interaction effects of disease state and 5-HT2A and DRD3 genes on brain structure and function were mainly located in the temporal cortex. Our findings may help to improve the understanding of the relationship between 5-HT2A and DRD3 genotypes and schizophrenia pathogenesis.
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Affiliation(s)
- Yafei Kang
- School of Life Sciences and Technology, Xidian University, Xi'an, Shaanxi 710071, PR China
| | - Wei Zhang
- School of Life Sciences and Technology, Xidian University, Xi'an, Shaanxi 710071, PR China
| | - Yahui Lv
- School of Life Sciences and Technology, Xidian University, Xi'an, Shaanxi 710071, PR China
| | - Suping Cai
- School of Life Sciences and Technology, Xidian University, Xi'an, Shaanxi 710071, PR China
| | - Hanxiao Xu
- School of Life Sciences and Technology, Xidian University, Xi'an, Shaanxi 710071, PR China
| | - Jijun Wang
- Shanghai Mental Health Center, Shanghai Jiaotong University, Shanghai 200030, PR China.
| | - Liyu Huang
- School of Life Sciences and Technology, Xidian University, Xi'an, Shaanxi 710071, PR China.
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9
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The SNAP-25 Protein Family. Neuroscience 2019; 420:50-71. [DOI: 10.1016/j.neuroscience.2018.09.020] [Citation(s) in RCA: 34] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/01/2018] [Revised: 08/31/2018] [Accepted: 09/14/2018] [Indexed: 01/04/2023]
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10
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Ramos-Miguel A, Gicas K, Alamri J, Beasley CL, Dwork AJ, Mann JJ, Rosoklija G, Cai F, Song W, Barr AM, Honer WG. Reduced SNAP25 Protein Fragmentation Contributes to SNARE Complex Dysregulation in Schizophrenia Postmortem Brain. Neuroscience 2018; 420:112-128. [PMID: 30579835 DOI: 10.1016/j.neuroscience.2018.12.015] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/06/2018] [Revised: 12/10/2018] [Accepted: 12/12/2018] [Indexed: 12/15/2022]
Abstract
Recent studies associated schizophrenia with enhanced functionality of the presynaptic SNARE (soluble N-ethylmaleimide-sensitive factor attachment protein receptor) complex. Altered degradation pathways of the three core SNARE proteins: synaptosomal-associated protein 25 (SNAP25), syntaxin-1 and vesicle-associated membrane protein (VAMP) could contribute to enhanced complex function. To investigate these pathways, we first identified a 15-kDa SNAP25 fragment (f-S25) in human and rat brains, highly enriched in synaptosomal extractions, and mainly attached to cytosolic membranes with low hydrophobicity. The presence of f-S25 is consistent with reports of calpain-mediated SNAP25 cleavage. Co-immunoprecipitation assays showed that f-S25 retains the ability to bind syntaxin-1, which might prevent VAMP and/or Munc18-1 assembly into the complex. Quantitative analyses in postmortem human orbitofrontal cortex (OFC) revealed that schizophrenia (n = 35), but not major depression (n = 15), is associated with lower amounts of f-S25 (-37%, P = 0.027), and greater SNARE protein-protein interactions (35%, P < 0.001), compared with healthy matched controls (n = 28). Enhanced SNARE complex formation was strongly correlated with lower SNAP25 fragmentation rates (R = 0.563, P < 0.001). Statistical mediation analyses supported the hypothesis that reduced f-S25 density could upregulate SNARE fusion events in schizophrenia. Cortical calpain activity in schizophrenia did not differ from controls. f-S25 levels did not correlate with total calpain activity, indicating that if present, schizophrenia-related calpain dysfunction might occur locally at the presynaptic terminals. Overall, the present findings suggest the existence of an endogenous SNARE complex inhibitor related to SNAP25 proteolysis, associated with enhanced SNARE activity in schizophrenia.
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Affiliation(s)
- Alfredo Ramos-Miguel
- BC Mental Health and Addictions Research Institute, 938 West 28th Ave, Vancouver, BC V5Z 4H4, Canada; Department of Psychiatry, University of British Columbia, 2255 Wesbrook Mall, Vancouver, BC V6T 2A1, Canada; Centro de Investigación Biomédica en Red de Salud Mental, CIBERSAM, Biscay, Spain
| | - Kristina Gicas
- BC Mental Health and Addictions Research Institute, 938 West 28th Ave, Vancouver, BC V5Z 4H4, Canada; Department of Psychiatry, University of British Columbia, 2255 Wesbrook Mall, Vancouver, BC V6T 2A1, Canada
| | - Jehan Alamri
- BC Mental Health and Addictions Research Institute, 938 West 28th Ave, Vancouver, BC V5Z 4H4, Canada; Department of Anesthesiology, Pharmacology, & Therapeutics, University of British Columbia, 2176 Health Sciences Mall Vancouver, BC V6T 1Z3, Canada
| | - Clare L Beasley
- BC Mental Health and Addictions Research Institute, 938 West 28th Ave, Vancouver, BC V5Z 4H4, Canada; Department of Psychiatry, University of British Columbia, 2255 Wesbrook Mall, Vancouver, BC V6T 2A1, Canada
| | - Andrew J Dwork
- Department of Psychiatry, Columbia University, 1051 Riverside Drive, New York, NY 10032, USA
| | - J John Mann
- Department of Psychiatry, Columbia University, 1051 Riverside Drive, New York, NY 10032, USA
| | - Gorazd Rosoklija
- Department of Psychiatry, Columbia University, 1051 Riverside Drive, New York, NY 10032, USA
| | - Fang Cai
- Department of Psychiatry, University of British Columbia, 2255 Wesbrook Mall, Vancouver, BC V6T 2A1, Canada
| | - Weihong Song
- Department of Psychiatry, University of British Columbia, 2255 Wesbrook Mall, Vancouver, BC V6T 2A1, Canada
| | - Alasdair M Barr
- BC Mental Health and Addictions Research Institute, 938 West 28th Ave, Vancouver, BC V5Z 4H4, Canada; Department of Anesthesiology, Pharmacology, & Therapeutics, University of British Columbia, 2176 Health Sciences Mall Vancouver, BC V6T 1Z3, Canada
| | - William G Honer
- BC Mental Health and Addictions Research Institute, 938 West 28th Ave, Vancouver, BC V5Z 4H4, Canada; Department of Psychiatry, University of British Columbia, 2255 Wesbrook Mall, Vancouver, BC V6T 2A1, Canada.
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Zhang X, Norton J, Carrière I, Ritchie K, Chaudieu I, Ryan J, Ancelin ML. Preliminary evidence for a role of the adrenergic nervous system in generalized anxiety disorder. Sci Rep 2017; 7:42676. [PMID: 28198454 PMCID: PMC5309880 DOI: 10.1038/srep42676] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/02/2015] [Accepted: 01/13/2017] [Indexed: 01/31/2023] Open
Abstract
Generalized anxiety disorder (GAD) is a common chronic condition that is understudied compared to other psychiatric disorders. An altered adrenergic function has been reported in GAD, however direct evidence for genetic susceptibility is missing. This study evaluated the associations of gene variants in adrenergic receptors (ADRs) with GAD, with the involvement of stressful events. Data were obtained from 844 French community-dwelling elderly aged 65 or over. Anxiety disorders were assessed using the Mini-International Neuropsychiatry Interview, according to DSM-IV criteria. Eight single-nucleotide polymorphisms (SNPs) involved with adrenergic function were genotyped; adrenergic receptors alpha(1A) (ADRA1A), alpha(2A) (ADRA2A), and beta2 (ADRB2) and transcription factor TCF7L2. Questionnaires evaluated recent stressful life events as well as early environment during childhood and adolescence. Using multivariate logistic regression analyses four SNPs were significantly associated with GAD. A 4-fold modified risk was found with ADRA1A rs17426222 and rs573514, and ADRB2 rs1042713 which remained significant after Bonferroni correction. Certain variants may moderate the effect of adverse life events on the risk of GAD. Replication in larger samples is needed due to the small case number. This is the first study showing that ADR variants are susceptibility factors for GAD, further highlighting the critical role of the adrenergic nervous system in this disorder.
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Affiliation(s)
- Xiaobin Zhang
- Inserm, U1061, Montpellier, France.,Univ Montpellier, Montpellier, France.,Tianjin Mental Health Center, Tianjin, China
| | - Joanna Norton
- Inserm, U1061, Montpellier, France.,Univ Montpellier, Montpellier, France
| | - Isabelle Carrière
- Inserm, U1061, Montpellier, France.,Univ Montpellier, Montpellier, France
| | - Karen Ritchie
- Inserm, U1061, Montpellier, France.,Univ Montpellier, Montpellier, France.,Faculty of Medicine, Imperial College, London, UK
| | - Isabelle Chaudieu
- Inserm, U1061, Montpellier, France.,Univ Montpellier, Montpellier, France
| | - Joanne Ryan
- Inserm, U1061, Montpellier, France.,Univ Montpellier, Montpellier, France.,Disease Epigenetics Group, Murdoch Children's Research Institute, and Department of Paediatrics, The University of Melbourne, Parkville, Australia
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12
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Yang B, Niu W, Chen S, Xu F, Li X, Wu X, Cao Y, Zhang R, Yang F, Wang L, Li W, Xu Y, He L, He G. Association study of dopamine receptor genes polymorphisms with the risk of schizophrenia in the Han Chinese population. Psychiatry Res 2016; 245:361-364. [PMID: 27591410 DOI: 10.1016/j.psychres.2016.08.052] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/07/2016] [Revised: 08/16/2016] [Accepted: 08/17/2016] [Indexed: 01/11/2023]
Abstract
Schizophrenia is a highly heritable psychiatric disorder often associated with dopamine-related genetic variations. Thus, we performed a case-control study in 1504 Han Chinese population to evaluate the association of DRD1, DRD2 and DRD3 polymorphisms with schizophrenia. No statistically significant difference in allelic or genotypic frequency was found between schizophrenia and control subjects. Strong positive linkage disequilibrium was detected among the SNPs within DRD1 and DRD2. However, no positive haplotype distribution was found to be associated with schizophrenia. Our results indicated that DRD1, DRD2 and DRD3 may not be the susceptibility genes for schizophrenia in the Chinese Han population.
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Affiliation(s)
- Beimeng Yang
- Bio-X Institutes, Key Laboratory for the Genetics of Development and Neuropsychiatric Disorders, Ministry of Education, Shanghai Jiao Tong University, 1954 Huashan Road, Shanghai 200030, China; Institute for Nutritional Sciences, Shanghai Institutes of Biological Sciences, Chinese Academy of Sciences, 320 Yueyang Road, Shanghai 200031, China
| | - Weibo Niu
- Bio-X Institutes, Key Laboratory for the Genetics of Development and Neuropsychiatric Disorders, Ministry of Education, Shanghai Jiao Tong University, 1954 Huashan Road, Shanghai 200030, China; Institute for Nutritional Sciences, Shanghai Institutes of Biological Sciences, Chinese Academy of Sciences, 320 Yueyang Road, Shanghai 200031, China
| | - Shiqing Chen
- Bio-X Institutes, Key Laboratory for the Genetics of Development and Neuropsychiatric Disorders, Ministry of Education, Shanghai Jiao Tong University, 1954 Huashan Road, Shanghai 200030, China; Institute for Nutritional Sciences, Shanghai Institutes of Biological Sciences, Chinese Academy of Sciences, 320 Yueyang Road, Shanghai 200031, China
| | - Fei Xu
- Bio-X Institutes, Key Laboratory for the Genetics of Development and Neuropsychiatric Disorders, Ministry of Education, Shanghai Jiao Tong University, 1954 Huashan Road, Shanghai 200030, China; Institute for Nutritional Sciences, Shanghai Institutes of Biological Sciences, Chinese Academy of Sciences, 320 Yueyang Road, Shanghai 200031, China
| | - Xingwang Li
- Bio-X Institutes, Key Laboratory for the Genetics of Development and Neuropsychiatric Disorders, Ministry of Education, Shanghai Jiao Tong University, 1954 Huashan Road, Shanghai 200030, China; Institute for Nutritional Sciences, Shanghai Institutes of Biological Sciences, Chinese Academy of Sciences, 320 Yueyang Road, Shanghai 200031, China
| | - Xi Wu
- Bio-X Institutes, Key Laboratory for the Genetics of Development and Neuropsychiatric Disorders, Ministry of Education, Shanghai Jiao Tong University, 1954 Huashan Road, Shanghai 200030, China; Institute for Nutritional Sciences, Shanghai Institutes of Biological Sciences, Chinese Academy of Sciences, 320 Yueyang Road, Shanghai 200031, China
| | - Yanfei Cao
- Bio-X Institutes, Key Laboratory for the Genetics of Development and Neuropsychiatric Disorders, Ministry of Education, Shanghai Jiao Tong University, 1954 Huashan Road, Shanghai 200030, China; Institute for Nutritional Sciences, Shanghai Institutes of Biological Sciences, Chinese Academy of Sciences, 320 Yueyang Road, Shanghai 200031, China
| | - Rui Zhang
- Bio-X Institutes, Key Laboratory for the Genetics of Development and Neuropsychiatric Disorders, Ministry of Education, Shanghai Jiao Tong University, 1954 Huashan Road, Shanghai 200030, China; Institute for Nutritional Sciences, Shanghai Institutes of Biological Sciences, Chinese Academy of Sciences, 320 Yueyang Road, Shanghai 200031, China
| | - Fengping Yang
- Bio-X Institutes, Key Laboratory for the Genetics of Development and Neuropsychiatric Disorders, Ministry of Education, Shanghai Jiao Tong University, 1954 Huashan Road, Shanghai 200030, China; Institute for Nutritional Sciences, Shanghai Institutes of Biological Sciences, Chinese Academy of Sciences, 320 Yueyang Road, Shanghai 200031, China
| | - Lu Wang
- Bio-X Institutes, Key Laboratory for the Genetics of Development and Neuropsychiatric Disorders, Ministry of Education, Shanghai Jiao Tong University, 1954 Huashan Road, Shanghai 200030, China; Institute for Nutritional Sciences, Shanghai Institutes of Biological Sciences, Chinese Academy of Sciences, 320 Yueyang Road, Shanghai 200031, China
| | - Weidong Li
- Bio-X Institutes, Key Laboratory for the Genetics of Development and Neuropsychiatric Disorders, Ministry of Education, Shanghai Jiao Tong University, 1954 Huashan Road, Shanghai 200030, China; Institute for Nutritional Sciences, Shanghai Institutes of Biological Sciences, Chinese Academy of Sciences, 320 Yueyang Road, Shanghai 200031, China
| | - Yifeng Xu
- Shanghai Key Laboratory of Psychotic Disorders, Shanghai Institute of Mental Health, Shanghai Jiao Tong University, 600 South Wan Ping Road, Shanghai 200030, China
| | - Lin He
- Bio-X Institutes, Key Laboratory for the Genetics of Development and Neuropsychiatric Disorders, Ministry of Education, Shanghai Jiao Tong University, 1954 Huashan Road, Shanghai 200030, China; Wuxi Mental Health Center, 156 Qian Rong Road, Wuxi 214151, China; Institute for Nutritional Sciences, Shanghai Institutes of Biological Sciences, Chinese Academy of Sciences, 320 Yueyang Road, Shanghai 200031, China
| | - Guang He
- Bio-X Institutes, Key Laboratory for the Genetics of Development and Neuropsychiatric Disorders, Ministry of Education, Shanghai Jiao Tong University, 1954 Huashan Road, Shanghai 200030, China.
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Safari MR, Omrani MD, Noroozi R, Sayad A, Sarrafzadeh S, Komaki A, Manjili FA, Mazdeh M, Ghaleiha A, Taheri M. Synaptosome-Associated Protein 25 (SNAP25) Gene Association Analysis Revealed Risk Variants for ASD, in Iranian Population. J Mol Neurosci 2016; 61:305-311. [PMID: 27888397 DOI: 10.1007/s12031-016-0860-2] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2016] [Accepted: 11/11/2016] [Indexed: 12/14/2022]
Abstract
Autism spectrum disorder (ASD) is a common, complex neurological condition, affecting approximately 1% of people worldwide. Monogenic neurodevelopmental disorders which showed autistic behavior patterns have suggested synaptic dysfunction, as a key mechanism in the pathophysiology of ASD. Subsequently, genes involved in synaptic signaling have been investigated with a priority for candidate gene studies. A synaptosomal-associated protein 25 (SNAP25) gene plays a crucial role in the central nervous system, contributing to exocytosis by targeting and fusion of vesicles to the cell membrane. Studies have shown a correlation between aberrant expression of the SNAP25 and a variety of brain diseases. Single nucleotide polymorphisms (SNPs) in this gene are associated with several psychiatric diseases, such as bipolar, schizophrenia, and attention-deficit/hyperactivity disorder. The aim of the present study was to investigate whether polymorphisms (rs3746544 and rs1051312) in the regulatory 3'-untranslated region (3'UTR) of the SNAP25 gene have an association with ASD in unrelated Iranian case (N = 524)-control (N = 472) samples. We observed robust association of the rs3746544 SNP and ASD patients, in both allele and haplotype-based analyses. Our results supported the previous observations and indicated a possible role for SNAP25 polymorphisms as susceptibility genetic factors involved in developing ASD.
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Affiliation(s)
- Mohammad Reza Safari
- Neurophysiology Research Center, Hamadan University of Medical Sciences, Hamadan, Iran
| | - Mir Davood Omrani
- Department of Medical Genetics, Faculty of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran
- Urogenital Stem Cell Research Center, Shahid Labbafi Nejad Educational Hospital, Shahid Beheshti University of Medical Sciences, No 23, Amir Ebrahimi St, Pasdaran Ave, Tehran, Iran
| | - Rezvan Noroozi
- Young Researchers and Elite Club, Ahvaz Branch, Islamic Azad University, Ahvaz, Iran
| | - Arezou Sayad
- Department of Medical Genetics, Faculty of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Shaghayegh Sarrafzadeh
- Department of Medical Genetics, Faculty of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Alireza Komaki
- Neurophysiology Research Center, Hamadan University of Medical Sciences, Hamadan, Iran
| | | | - Mehrdokht Mazdeh
- Neurophysiology Research Center, Hamadan University of Medical Sciences, Hamadan, Iran
- Department of Neurology, Hamadan University of Medical sciences, Hamadan, Iran
| | - Ali Ghaleiha
- Research Center for Behavioral Disorders and Substance Abuse, Hamadan University of Medical Sciences, Hamadan, Iran
| | - Mohammad Taheri
- Department of Medical Genetics, Faculty of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
- Urogenital Stem Cell Research Center, Shahid Labbafi Nejad Educational Hospital, Shahid Beheshti University of Medical Sciences, No 23, Amir Ebrahimi St, Pasdaran Ave, Tehran, Iran.
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14
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Noor A, Zahid S. A review of the role of synaptosomal-associated protein 25 (SNAP-25) in neurological disorders. Int J Neurosci 2016; 127:805-811. [DOI: 10.1080/00207454.2016.1248240] [Citation(s) in RCA: 24] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
Affiliation(s)
- Aneeqa Noor
- Neurobiology Research Laboratory, Department of Healthcare Biotechnology, Atta-ur-Rahman School of Applied Biosciences, National University of Sciences and Technology, Islamabad, Pakistan
| | - Saadia Zahid
- Neurobiology Research Laboratory, Department of Healthcare Biotechnology, Atta-ur-Rahman School of Applied Biosciences, National University of Sciences and Technology, Islamabad, Pakistan
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15
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Gene × Environment Interactions in Schizophrenia: Evidence from Genetic Mouse Models. Neural Plast 2016; 2016:2173748. [PMID: 27725886 PMCID: PMC5048038 DOI: 10.1155/2016/2173748] [Citation(s) in RCA: 28] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/27/2016] [Revised: 07/20/2016] [Accepted: 08/21/2016] [Indexed: 02/06/2023] Open
Abstract
The study of gene × environment, as well as epistatic interactions in schizophrenia, has provided important insight into the complex etiopathologic basis of schizophrenia. It has also increased our understanding of the role of susceptibility genes in the disorder and is an important consideration as we seek to translate genetic advances into novel antipsychotic treatment targets. This review summarises data arising from research involving the modelling of gene × environment interactions in schizophrenia using preclinical genetic models. Evidence for synergistic effects on the expression of schizophrenia-relevant endophenotypes will be discussed. It is proposed that valid and multifactorial preclinical models are important tools for identifying critical areas, as well as underlying mechanisms, of convergence of genetic and environmental risk factors, and their interaction in schizophrenia.
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Abstract
Schizophrenia is a serious psychiatric illness which is experienced by about 1 % of individuals worldwide and has a debilitating impact on perception, cognition, and social function. Over the years, several models/hypotheses have been developed which link schizophrenia to dysregulations of the dopamine, glutamate, and serotonin receptor pathways. An important segment of these pathways that have been extensively studied for the pathophysiology of schizophrenia is the presynaptic neurotransmitter release mechanism. This set of molecular events is an evolutionarily well-conserved process that involves vesicle recruitment, docking, membrane fusion, and recycling, leading to efficient neurotransmitter delivery at the synapse. Accumulated evidence indicate dysregulation of this mechanism impacting postsynaptic signal transduction via different neurotransmitters in key brain regions implicated in schizophrenia. In recent years, after ground-breaking work that elucidated the operations of this mechanism, research efforts have focused on the alterations in the messenger RNA (mRNA) and protein expression of presynaptic neurotransmitter release molecules in schizophrenia and other neuropsychiatric conditions. In this review article, we present recent evidence from schizophrenia human postmortem studies that key proteins involved in the presynaptic release mechanism are dysregulated in the disorder. We also discuss the potential impact of dysfunctional presynaptic neurotransmitter release on the various neurotransmitter systems implicated in schizophrenia.
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Affiliation(s)
- Chijioke N Egbujo
- Department of Psychiatry, University of Pennsylvania, Philadelphia, PA, USA
| | - Duncan Sinclair
- Neuroscience Research Australia, Barker St, Randwick, NSW, 2031, Australia
| | - Chang-Gyu Hahn
- Department of Psychiatry, University of Pennsylvania, Philadelphia, PA, USA.
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17
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Cupertino RB, Kappel DB, Bandeira CE, Schuch JB, da Silva BS, Müller D, Bau CHD, Mota NR. SNARE complex in developmental psychiatry: neurotransmitter exocytosis and beyond. J Neural Transm (Vienna) 2016; 123:867-83. [DOI: 10.1007/s00702-016-1514-9] [Citation(s) in RCA: 42] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/23/2015] [Accepted: 01/20/2016] [Indexed: 12/31/2022]
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18
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Jhun EH, Yao Y, He Y, Mack AK, Wilkie DJ, Molokie RE, Wang ZJ. Prevalence of pain-related single nucleotide polymorphisms in patients of African origin with sickle cell disease. Pharmacogenomics 2015; 16:1795-806. [PMID: 26555434 DOI: 10.2217/pgs.15.126] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022] Open
Abstract
BACKGROUND Prospective pain genetics research is hindered by a lack of data on the prevalence of polymorphisms in pain-relevant genes for patients with sickle cell disease (SCD). For African-Americans in general, limited information is available in public databases. METHODS We prioritized and examined the genotype and allele frequencies of 115 SNPs from 49 candidate pain genes in 199 adult African-Americans and pediatric patients of African origin with SCD. Analyses were performed and compared with available data from public databases. RESULTS Genotype and allele frequencies of a number of SNPs were found to be different between our cohort and those from the databases and between adult and pediatric subjects. CONCLUSION As pain therapy is inadequate in a significant percentage of patients with SCD, candidate pain genetic studies may aid in designing precision pain medicine. We provide prevalence data as a reference for prospective genetic studies in this population.
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Affiliation(s)
- Ellie H Jhun
- Department of Biopharmaceutical Sciences, University of Illinois at Chicago College of Pharmacy, Chicago, IL, USA
| | - Yingwei Yao
- Department of Biobehavioral Nursing Science, University of Florida College of Nursing, Gainsville, FL, USA.,Department of Biobehavioral Health Science, University of Illinois at Chicago College of Nursing, Chicago, IL, USA
| | - Ying He
- Department of Biopharmaceutical Sciences, University of Illinois at Chicago College of Pharmacy, Chicago, IL, USA
| | - A Kyle Mack
- Northwestern University-Feinberg School of Medicine, Division of Pediatric Hematology/Oncology/Stem Cell Transplantation, Children's Memorial Hospital, Chicago, IL, USA
| | - Diana J Wilkie
- Department of Biobehavioral Nursing Science, University of Florida College of Nursing, Gainsville, FL, USA.,Department of Biobehavioral Health Science, University of Illinois at Chicago College of Nursing, Chicago, IL, USA
| | - Robert E Molokie
- Department of Biopharmaceutical Sciences, University of Illinois at Chicago College of Pharmacy, Chicago, IL, USA
| | - Zaijie Jim Wang
- Department of Biopharmaceutical Sciences, University of Illinois at Chicago College of Pharmacy, Chicago, IL, USA
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19
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Ayhan Y, McFarland R, Pletnikov MV. Animal models of gene-environment interaction in schizophrenia: A dimensional perspective. Prog Neurobiol 2015; 136:1-27. [PMID: 26510407 DOI: 10.1016/j.pneurobio.2015.10.002] [Citation(s) in RCA: 58] [Impact Index Per Article: 6.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2015] [Revised: 09/07/2015] [Accepted: 10/22/2015] [Indexed: 12/12/2022]
Abstract
Schizophrenia has long been considered as a disorder with multifactorial origins. Recent discoveries have advanced our understanding of the genetic architecture of the disease. However, even with the increase of identified risk variants, heritability estimates suggest an important contribution of non-genetic factors. Various environmental risk factors have been proposed to play a role in the etiopathogenesis of schizophrenia. These include season of birth, maternal infections, obstetric complications, adverse events at early childhood, and drug abuse. Despite the progress in identification of genetic and environmental risk factors, we still have a limited understanding of the mechanisms whereby gene-environment interactions (G × E) operate in schizophrenia and psychoses at large. In this review we provide a critical analysis of current animal models of G × E relevant to psychotic disorders and propose that dimensional perspective will advance our understanding of the complex mechanisms of these disorders.
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Affiliation(s)
- Yavuz Ayhan
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, USA; Hacettepe University Faculty of Medicine, Department of Psychiatry, Turkey
| | - Ross McFarland
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, USA; Department of Molecular Microbiology and Immunology, Johns Hopkins Bloomberg School of Public Health, USA
| | - Mikhail V Pletnikov
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, USA; Solomon H Snyder Department of Neuroscience, Johns Hopkins University School of Medicine, USA; Department of Molecular and Comparative Pathobiology, Johns Hopkins University School of Medicine, USA; Department of Molecular Microbiology and Immunology, Johns Hopkins Bloomberg School of Public Health, USA.
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20
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Increased SNARE Protein-Protein Interactions in Orbitofrontal and Anterior Cingulate Cortices in Schizophrenia. Biol Psychiatry 2015; 78:361-73. [PMID: 25662103 PMCID: PMC4474796 DOI: 10.1016/j.biopsych.2014.12.012] [Citation(s) in RCA: 47] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/24/2014] [Revised: 11/23/2014] [Accepted: 12/07/2014] [Indexed: 11/23/2022]
Abstract
BACKGROUND Synaptic dysfunction in schizophrenia may be associated with abnormal expression or function of soluble N-ethylmaleimide-sensitive factor attachment protein receptor (SNARE) proteins (syntaxin, synaptosomal-associated protein 25 [SNAP25], vesicle-associated membrane protein [VAMP]) forming the molecular complex underlying neurosecretion. The impact of such abnormalities on efficient SNARE heterotrimer formation is poorly understood. We investigated putative SNARE dysfunction, along with possible roles for the SNARE binding partners Munc18-1, complexins (Cplx) 1/2, and synaptotagmin in brains from autopsies of individuals with and without schizophrenia. METHODS Postmortem samples were obtained from orbitofrontal cortex (OFC) and/or anterior cingulate cortex from two separate cohorts (n = 15 + 15 schizophrenia cases, n = 13 + 15 control subjects). SNARE interactions were studied by immunoprecipitation and one- or two-dimensional blue native polyacrylamide gel electrophoresis (BN-PAGE). RESULTS In the first cohort, syntaxin, Munc18-1, and Cplx1, but not VAMP, Cplx2, or synaptotagmin, were twofold enriched in SNAP25 immunoprecipitated products from schizophrenia OFC in the absence of any alterations in total tissue homogenate levels of these proteins. In BN-PAGE, the SNARE heterotrimer was identified as a 150-kDa complex, increased in schizophrenia samples from cohort 1 (OFC: +45%; anterior cingulate cortex: +44%) and cohort 2 (OFC: +40%), with lower 70-kDa SNAP25-VAMP dimer (-37%) in the OFC. Upregulated 200-kDa SNARE-Cplx1 (+65%) and downregulated 550-kDa Cplx1-containing oligomers (-24%) in schizophrenia OFC were identified by BN-PAGE. These findings were not explained by postmortem interval, antipsychotic medication, or other potentially confounding variables. CONCLUSIONS The findings support the hypothesis of upregulated SNARE complex formation in schizophrenia OFC, possibly favored by enhanced affinity for Munc18-1 and/or Cplx1. These alterations offer new therapeutic targets for schizophrenia.
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21
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Xiu L, Lin M, Liu W, Kong D, Liu Z, Zhang Y, Ouyang P, Liang Y, Zhong S, Chen C, Jin X, Fan X, Qin J, Zhao X, Rao S, Ding Y. Association of DRD3, COMT, and SLC6A4 Gene Polymorphisms with Type 2 Diabetes in Southern Chinese: A Hospital-Based Case-Control Study. Diabetes Technol Ther 2015; 17:580-6. [PMID: 25927430 DOI: 10.1089/dia.2014.0344] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/11/2023]
Abstract
AIM The aim of this study was to assess the associations of six single nucleotide polymorphisms (SNPs) of three genes (DRD3, COMT, and SCL6A4) with type 2 diabetes mellitus (T2DM) in Southern Chinese. SUBJECTS AND METHODS Five hundred ninety-five cases with T2DM and 725 healthy controls of Han origin were recruited from six hospitals in Guangdong Province, Southern China. Fasting serum concentrations of markers of interest (total cholesterol, triglyceride, plasma glucose, etc.) were measured in hospitals. SNP genotyping was performed using a custom-by-design 2-×48-Plex SNPscan™ kit (Genesky Biotechnologies Inc., Shanghai, China). Single-point SNP analysis, haplotype analysis, and SNP-SNP interactions were carried out. RESULTS SNP rs4646312 in COMT achieved statistical significance in both allelic association and genotypic association and even after adjusting covariates (odds ratio [OR]=1.26; 95% confidence interval [CI], 1.04-1.53; P=0.021). Two haplotypes consisting of rs4646312 and rs4680 were also significantly associated with T2DM, of which C-G was a protective haplotype for T2DM (OR=0.83; 95% CI, 0.70-0.98; P=0.029), whereas T-A was a risk one (OR=1.23, 95% CI, 1.03-1.46; P=0.022). Interaction analysis identified a significant epistatic effect between rs4680 in COMT and rs2066713 in SCL6A4 after adjusting for covariates (OR=3.59, 95% CI, 1.72-7.48; P=0.001 for dominant-dominant model). However, only the interaction between rs4680 and rs2066713 was significant, and haplotype T-A showed a marginally increased risk after Bonferroni correction. CONCLUSIONS The genetic polymorphisms in COMT and SCL6A4 confer significant effects in joint actions to T2DM in Southern Chinese.
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Affiliation(s)
- Liangchang Xiu
- 1 Department of Epidemiology and Medical Statistics, School of Public Health, and Institute of Medical Systems Biology, Guangdong Medical College , Dongguan, Guangdong, China
| | - Meihua Lin
- 1 Department of Epidemiology and Medical Statistics, School of Public Health, and Institute of Medical Systems Biology, Guangdong Medical College , Dongguan, Guangdong, China
| | - Weiwei Liu
- 1 Department of Epidemiology and Medical Statistics, School of Public Health, and Institute of Medical Systems Biology, Guangdong Medical College , Dongguan, Guangdong, China
| | - Danli Kong
- 1 Department of Epidemiology and Medical Statistics, School of Public Health, and Institute of Medical Systems Biology, Guangdong Medical College , Dongguan, Guangdong, China
| | - Zhenghui Liu
- 1 Department of Epidemiology and Medical Statistics, School of Public Health, and Institute of Medical Systems Biology, Guangdong Medical College , Dongguan, Guangdong, China
| | - Yang Zhang
- 1 Department of Epidemiology and Medical Statistics, School of Public Health, and Institute of Medical Systems Biology, Guangdong Medical College , Dongguan, Guangdong, China
| | - Ping Ouyang
- 1 Department of Epidemiology and Medical Statistics, School of Public Health, and Institute of Medical Systems Biology, Guangdong Medical College , Dongguan, Guangdong, China
| | - Yan Liang
- 2 Department of Endocrinology and Metabolism, Maoming People's Hospital , Maoming, Guangdong, China
| | - Shouqiang Zhong
- 2 Department of Endocrinology and Metabolism, Maoming People's Hospital , Maoming, Guangdong, China
| | - Can Chen
- 3 Department of Internal Cardiology, the Affiliated Hospital of Guangdong Medical College , Zhanjiang, Guangdong, China
| | - Xin Jin
- 4 Guanlan People's Hospital , Baoan District, Shenzhen, Guangdong, China
| | - Xuejin Fan
- 5 Shilong Boai Hospital , Dongguan, Guangdong, China
| | - Jiheng Qin
- 1 Department of Epidemiology and Medical Statistics, School of Public Health, and Institute of Medical Systems Biology, Guangdong Medical College , Dongguan, Guangdong, China
| | - Xiaolei Zhao
- 1 Department of Epidemiology and Medical Statistics, School of Public Health, and Institute of Medical Systems Biology, Guangdong Medical College , Dongguan, Guangdong, China
| | - Shaoqi Rao
- 1 Department of Epidemiology and Medical Statistics, School of Public Health, and Institute of Medical Systems Biology, Guangdong Medical College , Dongguan, Guangdong, China
| | - Yuanlin Ding
- 1 Department of Epidemiology and Medical Statistics, School of Public Health, and Institute of Medical Systems Biology, Guangdong Medical College , Dongguan, Guangdong, China
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Maschietto M, Tahira AC, Puga R, Lima L, Mariani D, Paulsen BDS, Belmonte-de-Abreu P, Vieira H, Krepischi AC, Carraro DM, Palha JA, Rehen S, Brentani H. Co-expression network of neural-differentiation genes shows specific pattern in schizophrenia. BMC Med Genomics 2015; 8:23. [PMID: 25981335 PMCID: PMC4493810 DOI: 10.1186/s12920-015-0098-9] [Citation(s) in RCA: 34] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/23/2014] [Accepted: 05/05/2015] [Indexed: 12/21/2022] Open
Abstract
Background Schizophrenia is a neurodevelopmental disorder with genetic and environmental factors contributing to its pathogenesis, although the mechanism is unknown due to the difficulties in accessing diseased tissue during human neurodevelopment. The aim of this study was to find neuronal differentiation genes disrupted in schizophrenia and to evaluate those genes in post-mortem brain tissues from schizophrenia cases and controls. Methods We analyzed differentially expressed genes (DEG), copy number variation (CNV) and differential methylation in human induced pluripotent stem cells (hiPSC) derived from fibroblasts from one control and one schizophrenia patient and further differentiated into neuron (NPC). Expression of the DEG were analyzed with microarrays of post-mortem brain tissue (frontal cortex) cohort of 29 schizophrenia cases and 30 controls. A Weighted Gene Co-expression Network Analysis (WGCNA) using the DEG was used to detect clusters of co-expressed genes that werenon-conserved between adult cases and controls brain samples. Results We identified methylation alterations potentially involved with neuronal differentiation in schizophrenia, which displayed an over-representation of genes related to chromatin remodeling complex (adjP = 0.04). We found 228 DEG associated with neuronal differentiation. These genes were involved with metabolic processes, signal transduction, nervous system development, regulation of neurogenesis and neuronal differentiation. Between adult brain samples from cases and controls there were 233 DEG, with only four genes overlapping with the 228 DEG, probably because we compared single cell to tissue bulks and more importantly, the cells were at different stages of development. The comparison of the co-expressed network of the 228 genes in adult brain samples between cases and controls revealed a less conserved module enriched for genes associated with oxidative stress and negative regulation of cell differentiation. Conclusion This study supports the relevance of using cellular approaches to dissect molecular aspects of neurogenesis with impact in the schizophrenic brain. We showed that, although generated by different approaches, both sets of DEG associated to schizophrenia were involved with neocortical development. The results add to the hypothesis that critical metabolic changes may be occurring during early neurodevelopment influencing faulty development of the brain and potentially contributing to further vulnerability to the illness. Electronic supplementary material The online version of this article (doi:10.1186/s12920-015-0098-9) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Mariana Maschietto
- LIM23 (Medical Investigation Laboratory 23), University of Sao Paulo Medical School (USP), São Paulo, SP, Brazil. .,Institute of Psychiatry-University of Sao Paulo, Medical School (FMUSP), São Paulo, SP, Brazil.
| | - Ana C Tahira
- LIM23 (Medical Investigation Laboratory 23), University of Sao Paulo Medical School (USP), São Paulo, SP, Brazil. .,Institute of Psychiatry-University of Sao Paulo, Medical School (FMUSP), São Paulo, SP, Brazil.
| | - Renato Puga
- Hospital Israelita Albert Einstein, São Paulo, Brazil.
| | - Leandro Lima
- Post-graduation Program Institute of Mathematics and Statistics, University of Sao Paulo, São Paulo, SP, Brazil.
| | - Daniel Mariani
- Post-graduation Program Institute of Mathematics and Statistics, University of Sao Paulo, São Paulo, SP, Brazil.
| | | | | | - Henrique Vieira
- Post-graduation Program Institute of Mathematics and Statistics, University of Sao Paulo, São Paulo, SP, Brazil.
| | - Ana Cv Krepischi
- Institute of Biosciences, University of São Paulo, São Paulo, SP, Brazil.
| | - Dirce M Carraro
- International Research Center-AC Camargo Cancer Center, São Paulo, Brazil.
| | - Joana A Palha
- Life and Health Sciences Research Institute (ICVS), School of Health Sciences, University of Minho, Braga, Portugal. .,ICVS/3B's-PT Government Associate Laboratory, Braga, Guimarães, Portugal.
| | - Stevens Rehen
- Institute of Biomedical Sciences, Federal University of Rio de Janeiro, Rio de Janeiro, Brazil. .,D'Or Institute for Research and Education (IDOR), Rio de Janeiro, Brazil.
| | - Helena Brentani
- LIM23 (Medical Investigation Laboratory 23), University of Sao Paulo Medical School (USP), São Paulo, SP, Brazil. .,Institute of Psychiatry-University of Sao Paulo, Medical School (FMUSP), São Paulo, SP, Brazil. .,Department of Psychiatry, University of Sao Paulo, Medical School (FMUSP), Rua Dr Ovídio Pires de Campos,785-CEP 05403-010, São Paulo, SP, Caixa Postal n 3671, Brazil. .,National Institute of Developmental Psychiatry for Children and Adolescents, CNPq, São Paulo, SP, Brazil.
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23
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Šerý O, Lochman J, Povová J, Janout V, Plesník J, Balcar VJ. Association between 5q23.2-located polymorphism of CTXN3 gene (Cortexin 3) and schizophrenia in European-Caucasian males; implications for the aetiology of schizophrenia. BEHAVIORAL AND BRAIN FUNCTIONS : BBF 2015; 11:10. [PMID: 25889058 PMCID: PMC4367835 DOI: 10.1186/s12993-015-0057-9] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 09/19/2014] [Accepted: 03/02/2015] [Indexed: 12/22/2022]
Abstract
BACKGROUND The objective of the study was to examine several polymorphisms in DISC1 and CTNX3 genes as possible risk factors in schizophrenia. DISC1 (disrupted-in-schizophrenia 1) has been studied extensively in relation to mental disease while CTXN3, has only recently emerged as a potential "candidate" gene in schizophrenia. CTXN3 resides in a genomic region (5q21-34) known to be associated with schizophrenia and encodes a protein cortexin 3 which is highly enriched in brain. METHODS We used ethnically homogeneous samples of 175 male patients and 184 male control subjects. All patients were interviewed by two similarly qualified psychiatrists. Controls were interviewed by one of the authors (O.S.). Genotyping was performed, following amplification by polymerase chain reaction (PCR), using fragment analysis in a standard commercial setting (Applied Biosystems, USA). RESULTS We have found a statistically significant association between rs6595788 polymorphism of CTXN3 gene and the risk of schizophrenia; the presence of AG genotype increased the risk 1.5-fold. Polymorphisms in DISC1 gene showed only marginally statistically significant association with schizophrenia (rs17817356) or no association whatsoever (rs821597 and rs980989) while two polymorphisms (rs9661837 and rs3737597) were found to be only slightly polymorphic in the samples. CONCLUSION Evidence available in the literature suggests that altered expression of cortexin 3, either alone, or in parallel with changes in DISC1, could subtly perturb GABAergic neurotransmission and/or metabolism of amyloid precursor protein (APP) in developing brain, thus potentially exposing the affected individual to an increased risk of schizophrenia later in life.
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Affiliation(s)
- Omar Šerý
- Laboratory of Neurobiology and Molecular Psychiatry, Laboratory of Molecular Physiology, Department of Biochemistry, Faculty of Science, Masaryk University, Kotlářská 2, 611 37, Brno, Czech Republic.
- Institute of Animal Physiology and Genetics, Academy of Sciences, Veveří 97, 602 00, Brno, Czech Republic.
| | - Jan Lochman
- Laboratory of Neurobiology and Molecular Psychiatry, Laboratory of Molecular Physiology, Department of Biochemistry, Faculty of Science, Masaryk University, Kotlářská 2, 611 37, Brno, Czech Republic.
| | - Jana Povová
- Department of Epidemiology and Public Health, Faculty of Medicine, University of Ostrava, Ostrava, Czech Republic.
| | - Vladimír Janout
- Department of Epidemiology and Public Health, Faculty of Medicine, University of Ostrava, Ostrava, Czech Republic.
| | - Jiří Plesník
- Laboratory of Neurobiology and Molecular Psychiatry, Laboratory of Molecular Physiology, Department of Biochemistry, Faculty of Science, Masaryk University, Kotlářská 2, 611 37, Brno, Czech Republic.
| | - Vladimir J Balcar
- Laboratory of Neurochemistry, Bosch Institute and Discipline of Anatomy and Histology, School of Medical Sciences, Sydney Medical School, The University of Sydney, 2006, Sydney, NSW, AUSTRALIA.
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Dai D, Cheng J, Zhou K, Lv Y, Zhuang Q, Zheng R, Zhang K, Jiang D, Gao S, Duan S. Significant association between DRD3 gene body methylation and schizophrenia. Psychiatry Res 2014; 220:772-7. [PMID: 25262640 DOI: 10.1016/j.psychres.2014.08.032] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/13/2014] [Revised: 08/14/2014] [Accepted: 08/18/2014] [Indexed: 11/24/2022]
Abstract
The current study was the first one to reveal the contribution of DRD3 methylation to the risk of different (SCZ) subtypes. This study comprised a total of 30 paranoid (15 males and 15 females) and 29 undifferentiated (15 males and 14 females) SCZ patients and 26 age- and gender-matched controls. Our results showed a significant association of CpG2 with SCZ. A breakdown analysis by gender showed that CpG2 and CpG3 methylation were significantly higher in male patients than male controls, and that CpG5 methylation was significantly higher in female patients than female controls. A further breakdown analysis by both gender and SCZ subtype showed that CpG2 and CpG3 methylation were significantly higher in male paranoid SCZ and male undifferentiated SCZ than male controls. In contrast, CpG2 and CpG3 methylation were significantly lower in female undifferentiated SCZ than female controls. Additionally, CpG5 methylation was significantly higher in female paranoid SCZ than female controls. In conclusion, our findings supported that DRD3 gene body hypermethylation was significantly associated with the risk of SCZ. Future study is needed to clarify the mechanisms by which DRD3 gene body hypermethylation contributes to the risk of SCZ.
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Affiliation(s)
- Dongjun Dai
- Zhejiang Provincial Key Laboratory of Pathophysiology, School of Medicine, Ningbo University, Ningbo, Zhejiang 315211, China
| | - Jia Cheng
- Department of Psychiatry, Ningbo Kangning Hospital, Ningbo, Zhejiang 315201, China.
| | - Kena Zhou
- Zhejiang Provincial Key Laboratory of Pathophysiology, School of Medicine, Ningbo University, Ningbo, Zhejiang 315211, China
| | - Yuelong Lv
- Zhejiang Provincial Key Laboratory of Pathophysiology, School of Medicine, Ningbo University, Ningbo, Zhejiang 315211, China
| | - Qidong Zhuang
- Zhejiang Provincial Key Laboratory of Pathophysiology, School of Medicine, Ningbo University, Ningbo, Zhejiang 315211, China
| | - Rongjiong Zheng
- Zhejiang Provincial Key Laboratory of Pathophysiology, School of Medicine, Ningbo University, Ningbo, Zhejiang 315211, China
| | - Kai Zhang
- Zhejiang Provincial Key Laboratory of Pathophysiology, School of Medicine, Ningbo University, Ningbo, Zhejiang 315211, China
| | - Danjie Jiang
- Zhejiang Provincial Key Laboratory of Pathophysiology, School of Medicine, Ningbo University, Ningbo, Zhejiang 315211, China
| | - Shugui Gao
- Department of Psychiatry, Ningbo Kangning Hospital, Ningbo, Zhejiang 315201, China.
| | - Shiwei Duan
- Zhejiang Provincial Key Laboratory of Pathophysiology, School of Medicine, Ningbo University, Ningbo, Zhejiang 315211, China.
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25
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Dai D, Wang Y, Yuan J, Zhou X, Jiang D, Li J, Zhang Y, Yin H, Duan S. Meta-analyses of 10 polymorphisms associated with the risk of schizophrenia. Biomed Rep 2014; 2:729-736. [PMID: 25054019 DOI: 10.3892/br.2014.308] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/07/2014] [Accepted: 06/23/2014] [Indexed: 01/15/2023] Open
Abstract
Schizophrenia (SCZ) is a severe complex psychiatric disorder that generates problems for the associated family and society and causes disability with regards to work for patients. The aim of the present study was to assess the contribution of 10 genetic polymorphisms to SCZ susceptibility. Meta-analyses were conducted using the data without a limitation for time or language. A total of 27 studies with 7 genes and 10 polymorphisms were selected for the meta-analyses. Two polymorphisms were found to be significantly associated with SCZ. SNAP25 rs3746544 was shown to increase the SCZ risk by 18% [P=0.01; odds ratio (OR), 1.18; 95% confidence interval (CI), 1.05-1.34] and GRIK3 rs6691840 was found to increase the risk by 30% (P=0.008; OR, 1.30; 95% CI, 1.07-1.58). Significant results were found under the dominant (P=0.001; OR, 1.36; 95% CI, 1.13-1.65) and additive (P=0.02; OR, 1.45; 95% CI, 1.06-1.98) model for the SNAP25 rs3746544 polymorphism and under the additive model for the GRIK3 rs6691840 polymorphism (P=0.03; OR, 1.73; 95% CI, 1.04-2.85). There were no significant results observed for the other eight polymorphisms, which were CCKAR rs1800857, CHRNA7 rs904952, CHRNA7 rs6494223, CHRNA7 rs2337506, DBH Ins>Del, FEZ1 rs559668, FEZ1 rs597570 and GCLM rs2301022. In conclusion, the present meta-analyses indicated that the SNAP25 rs3746544 and GRIK3 rs6691840 polymorphisms were risk factors of SCZ, which may provide valuable information for the clinical diagnosis of SCZ.
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Affiliation(s)
- Dongjun Dai
- Zhejiang Provincial Key Laboratory of Pathophysiology, School of Medicine, Ningbo University, Ningbo, Zhejiang 315211, P.R. China
| | - Yunliang Wang
- Department of Neurology, The 148 Central Hospital of People's Liberation Army, Zibo, Shandong 255300, P.R. China
| | - Jiaojiao Yuan
- Zhejiang Provincial Key Laboratory of Pathophysiology, School of Medicine, Ningbo University, Ningbo, Zhejiang 315211, P.R. China
| | - Xingyu Zhou
- Zhejiang Provincial Key Laboratory of Pathophysiology, School of Medicine, Ningbo University, Ningbo, Zhejiang 315211, P.R. China
| | - Danjie Jiang
- Zhejiang Provincial Key Laboratory of Pathophysiology, School of Medicine, Ningbo University, Ningbo, Zhejiang 315211, P.R. China
| | - Jinfeng Li
- Department of Neurology, The 148 Central Hospital of People's Liberation Army, Zibo, Shandong 255300, P.R. China
| | - Yuzheng Zhang
- Department of Neurology, The 148 Central Hospital of People's Liberation Army, Zibo, Shandong 255300, P.R. China
| | - Honglei Yin
- Department of Neurology, The 148 Central Hospital of People's Liberation Army, Zibo, Shandong 255300, P.R. China
| | - Shiwei Duan
- Zhejiang Provincial Key Laboratory of Pathophysiology, School of Medicine, Ningbo University, Ningbo, Zhejiang 315211, P.R. China
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26
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Thangavel M, Seelan RS, Lakshmanan J, Vadnal RE, Stagner JI, Parthasarathy LK, Casanova MF, El-Mallakh RS, Parthasarathy RN. Proteomic analysis of rat prefrontal cortex after chronic valproate treatment. J Neurosci Res 2014; 92:927-36. [DOI: 10.1002/jnr.23373] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/17/2013] [Revised: 01/28/2014] [Accepted: 01/28/2014] [Indexed: 11/08/2022]
Affiliation(s)
- Muthusamy Thangavel
- Molecular Neuroscience and Bioinformatics Laboratories; Mental Health; Behavioral Science; and Research Services; Robley Rex Veterans Affairs Medical Center; Louisville Kentucky
- Department of Psychiatry and Behavioral Sciences; University of Louisville; Louisville Kentucky
| | - Ratnam S. Seelan
- Molecular Neuroscience and Bioinformatics Laboratories; Mental Health; Behavioral Science; and Research Services; Robley Rex Veterans Affairs Medical Center; Louisville Kentucky
- Department of Psychiatry and Behavioral Sciences; University of Louisville; Louisville Kentucky
- Department of Molecular; Cellular; and Craniofacial Biology; School of Dentistry, University of Louisville; Louisville Kentucky
| | - Jaganathan Lakshmanan
- Molecular Neuroscience and Bioinformatics Laboratories; Mental Health; Behavioral Science; and Research Services; Robley Rex Veterans Affairs Medical Center; Louisville Kentucky
- Price Institute of Surgical Research; Department of Surgery; School of Medicine, University of Louisville; Louisville Kentucky
| | - Robert E. Vadnal
- Eastern Colorado Health Care System; Department of Veterans Affairs; Pueblo Colorado
| | - John I. Stagner
- Molecular Neuroscience and Bioinformatics Laboratories; Mental Health; Behavioral Science; and Research Services; Robley Rex Veterans Affairs Medical Center; Louisville Kentucky
| | - Latha K. Parthasarathy
- Molecular Neuroscience and Bioinformatics Laboratories; Mental Health; Behavioral Science; and Research Services; Robley Rex Veterans Affairs Medical Center; Louisville Kentucky
- Department of Psychiatry and Behavioral Sciences; University of Louisville; Louisville Kentucky
| | - Manuel F. Casanova
- Department of Psychiatry and Behavioral Sciences; University of Louisville; Louisville Kentucky
| | - Rifaat Shody El-Mallakh
- Department of Psychiatry and Behavioral Sciences; University of Louisville; Louisville Kentucky
| | - Ranga N. Parthasarathy
- Molecular Neuroscience and Bioinformatics Laboratories; Mental Health; Behavioral Science; and Research Services; Robley Rex Veterans Affairs Medical Center; Louisville Kentucky
- Department of Psychiatry and Behavioral Sciences; University of Louisville; Louisville Kentucky
- Department of Biochemistry and Molecular Biology; University of Louisville; Louisville Kentucky
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27
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Ngounou Wetie AG, Sokolowska I, Wormwood K, Beglinger K, Michel TM, Thome J, Darie CC, Woods AG. Mass spectrometry for the detection of potential psychiatric biomarkers. J Mol Psychiatry 2013; 1:8. [PMID: 25408901 PMCID: PMC4223884 DOI: 10.1186/2049-9256-1-8] [Citation(s) in RCA: 22] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/22/2012] [Accepted: 02/12/2013] [Indexed: 12/20/2022] Open
Abstract
The search for molecules that can act as potential biomarkers is increasing in the scientific community, including in the field of psychiatry. The field of proteomics is evolving and its indispensability for identifying biomarkers is clear. Among proteomic tools, mass spectrometry is the core technique for qualitative and quantitative identification of protein markers. While significant progress has been made in the understanding of biomarkers for neurodegenerative diseases such as Alzheimer's disease, multiple sclerosis and Parkinson's disease, psychiatric disorders have not been as extensively investigated. Recent and successful applications of mass spectrometry-based proteomics in fields such as cardiovascular disease, cancer, infectious diseases and neurodegenerative disorders suggest a similar path for psychiatric disorders. In this brief review, we describe mass spectrometry and its use in psychiatric biomarker research and highlight some of the possible challenges of undertaking this type of work. Further, specific examples of candidate biomarkers are highlighted. A short comparison of proteomic with genomic methods for biomarker discovery research is presented. In summary, mass spectrometry-based techniques may greatly facilitate ongoing efforts to understand molecular mechanisms of psychiatric disorders.
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Affiliation(s)
- Armand G Ngounou Wetie
- Biochemistry and Proteomics Group, Department of Chemistry and Biomolecular Science, Clarkson University, 8 Clarkson Avenue, Potsdam, NY 13699-5810 USA
| | - Izabela Sokolowska
- Biochemistry and Proteomics Group, Department of Chemistry and Biomolecular Science, Clarkson University, 8 Clarkson Avenue, Potsdam, NY 13699-5810 USA
| | - Kelly Wormwood
- Biochemistry and Proteomics Group, Department of Chemistry and Biomolecular Science, Clarkson University, 8 Clarkson Avenue, Potsdam, NY 13699-5810 USA
| | - Katherine Beglinger
- Biochemistry and Proteomics Group, Department of Chemistry and Biomolecular Science, Clarkson University, 8 Clarkson Avenue, Potsdam, NY 13699-5810 USA
| | - Tanja Maria Michel
- Department of Psychiatry, University of Rostock, Rostock, Gehlsheimer Straße 20, D-18147 Germany
| | - Johannes Thome
- Department of Psychiatry, University of Rostock, Rostock, Gehlsheimer Straße 20, D-18147 Germany ; College of Medicine, Swansea University, Singleton Park, Swansea, SA2 8PP UK
| | - Costel C Darie
- Biochemistry and Proteomics Group, Department of Chemistry and Biomolecular Science, Clarkson University, 8 Clarkson Avenue, Potsdam, NY 13699-5810 USA
| | - Alisa G Woods
- Biochemistry and Proteomics Group, Department of Chemistry and Biomolecular Science, Clarkson University, 8 Clarkson Avenue, Potsdam, NY 13699-5810 USA ; Neuropsychology Clinic and Psychoeducation Services, SUNY Plattsburgh, 101 Broad St, Plattsburgh, 12901 NY USA
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