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Long J, Tian L, Baranova A, Cao H, Yao Y, Rao S, Zhang F. Convergent lines of evidence supporting involvement of NFKB1 in schizophrenia. Psychiatry Res 2022; 312:114588. [PMID: 35524996 DOI: 10.1016/j.psychres.2022.114588] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/16/2022] [Revised: 04/22/2022] [Accepted: 04/30/2022] [Indexed: 01/02/2023]
Abstract
OBJECTIVES NFKB1 was associated with treatment-refractory schizophrenia (SZ) and response to antipsychotics; however, the underlying mechanisms through which NFKB1 confers its risk for SZ are largely unknown. We aimed to investigate the potential role of NFKB1 in SZ. METHODS In the present study, we investigated the association of the risk SNP rs230529 of NFKB1 with gray matter density and with NFKB1 mRNA levels in various human brain regions. The spatiotemporal expression pattern of NFKB1 in human brains was explored. We constructed a miRNA-NFKB1-target gene regulatory network and analyzed its druggability through targeting NFKB1 for SZ treatment. RESULTS NFKB1 showed the highest expression levels in the cerebellum, in which these levels were stratified by genotypes of rs230529. Interestingly, the allelic state of rs230529 was significantly associated with regional gray matter density in multiple brain regions (including the cerebellum), which also differed between patients with schizophrenia and controls. Furthermore, regulatory targets of NFKB1 were enriched among SZ susceptibility genes. A substantial proportion of NFKB1 target genes were subject to combinatorial regulation by NFKB1 and miRNAs, constituting a hybrid NFKB1-miRNA-gene regulatory network. Some components of this network showed expression changes relevant to both the disease and the treatment. Finally, we detected the dynamic changes of NFKB1-miR-155-5p-GSK3B and NFKB1-miR-155-5p/let-7a-5p-IL6 networks in course of the treatment of SZ. CONCLUSION Taken together, our findings support the involvement of NFKB1-mediated dysregulation in the development of SZ.
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Affiliation(s)
- Jing Long
- Affiliated Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu, 610075, China; Haihe Laboratory of Cell Ecosystem, State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, 300020, China
| | - Lin Tian
- Wuxi Mental Health Center of Nanjing Medical University, Wuxi, 214151, China
| | - Ancha Baranova
- School of Systems Biology, George Mason University, Fairfax, 22030, USA; Research Centre for Medical Genetics, Moscow, 115478, Russia
| | - Hongbao Cao
- School of Systems Biology, George Mason University, Fairfax, 22030, USA
| | - Yao Yao
- Haihe Laboratory of Cell Ecosystem, State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, 300020, China
| | - Shuquan Rao
- Haihe Laboratory of Cell Ecosystem, State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, 300020, China
| | - Fuquan Zhang
- Department of Psychiatry, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, 210029, China; Institute of Neuropsychiatry, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, 210029, China.
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2
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Swain SA, Sarangi P, Rattan R, Sahu PK, Lamare AA. A Study of Nuclear Factor-Kappa B1 Gene Polymorphism Types in Schizophrenia Patients and Their Correlation With Disease Severity. Cureus 2022; 14:e24401. [PMID: 35619863 PMCID: PMC9125008 DOI: 10.7759/cureus.24401] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 04/22/2022] [Indexed: 11/05/2022] Open
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3
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Bioinformatics and Network-based Approaches for Determining Pathways, Signature Molecules, and Drug Substances connected to Genetic Basis of Schizophrenia etiology. Brain Res 2022; 1785:147889. [PMID: 35339428 DOI: 10.1016/j.brainres.2022.147889] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2021] [Revised: 02/28/2022] [Accepted: 03/21/2022] [Indexed: 12/12/2022]
Abstract
Knowledge of heterogeneous etiology and pathophysiology of schizophrenia (SZP) is reasonably inadequate and non-deterministic due to its inherent complexity and underlying vast dynamics related to genetic mechanisms. The evolution of large-scale transcriptome-wide datasets and subsequent development of relevant, robust technologies for their analyses show promises toward elucidating the genetic basis of disease pathogenesis, its early risk prediction, and predicting drug molecule targets for therapeutic intervention. In this research, we have scrutinized the genetic basis of SZP through functional annotation and network-based system biology approaches. We have determined 96 overlapping differentially expressed genes (DEGs) from 2 microarray datasets and subsequently identified their interconnecting networks to reveal transcriptome signatures like hub proteins (FYN, RAD51, SOCS3, XIAP, AKAP13, PIK3C2A, CBX5, GATA3, EIF3K, and CDKN2B), transcription factors and miRNAs. In addition, we have employed gene set enrichment to highlight significant gene ontology (e.g., positive regulation of microglial cell activation) and relevant pathways (such as axon guidance and focal adhesion) interconnected to the genes associated with SZP. Finally, we have suggested candidate drug substances like Luteolin HL60 UP as a possible therapeutic target based on these key molecular signatures.
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4
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Determination of molecular signatures and pathways common to brain tissues of autism spectrum disorder: Insights from comprehensive bioinformatics approach. INFORMATICS IN MEDICINE UNLOCKED 2022. [DOI: 10.1016/j.imu.2022.100871] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022] Open
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5
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Identification of molecular signatures and pathways common to blood cells and brain tissue based RNA-Seq datasets of bipolar disorder: Insights from comprehensive bioinformatics approach. INFORMATICS IN MEDICINE UNLOCKED 2022. [DOI: 10.1016/j.imu.2022.100881] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022] Open
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6
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Lin TY, Chang YC, Hsiao YJ, Chien Y, Jheng YC, Wu JR, Ching LJ, Hwang DK, Hsu CC, Lin TC, Chou YB, Huang YM, Chen SJ, Yang YP, Tsai PH. Identification of Novel Genomic-Variant Patterns of OR56A5, OR52L1, and CTSD in Retinitis Pigmentosa Patients by Whole-Exome Sequencing. Int J Mol Sci 2021; 22:ijms22115594. [PMID: 34070492 PMCID: PMC8198027 DOI: 10.3390/ijms22115594] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2021] [Revised: 05/20/2021] [Accepted: 05/21/2021] [Indexed: 12/24/2022] Open
Abstract
Inherited retinal dystrophies (IRDs) are rare but highly heterogeneous genetic disorders that affect individuals and families worldwide. However, given its wide variability, its analysis of the driver genes for over 50% of the cases remains unexplored. The present study aims to identify novel driver genes, disease-causing variants, and retinitis pigmentosa (RP)-associated pathways. Using family-based whole-exome sequencing (WES) to identify putative RP-causing rare variants, we identified a total of five potentially pathogenic variants located in genes OR56A5, OR52L1, CTSD, PRF1, KBTBD13, and ATP2B4. Of the variants present in all affected individuals, genes OR56A5, OR52L1, CTSD, KBTBD13, and ATP2B4 present as missense mutations, while PRF1 and CTSD present as frameshift variants. Sanger sequencing confirmed the presence of the novel pathogenic variant PRF1 (c.124_128del) that has not been reported previously. More causal-effect or evidence-based studies will be required to elucidate the precise roles of these SNPs in the RP pathogenesis. Taken together, our findings may allow us to explore the risk variants based on the sequencing data and upgrade the existing variant annotation database in Taiwan. It may help detect specific eye diseases such as retinitis pigmentosa in East Asia.
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Affiliation(s)
- Ting-Yi Lin
- College of Medicine, Kaohsiung Medical University, Kaohsiung 807378, Taiwan;
| | - Yun-Chia Chang
- Department of Ophthalmology, Taipei Veterans General Hospital, Taipei 112304, Taiwan; (Y.-C.C.); (D.-K.H.); (C.-C.H.); (T.-C.L.); (Y.-B.C.); (Y.-M.H.); (S.-J.C.)
| | - Yu-Jer Hsiao
- College of Medicine, National Yang-Ming Chiao-Tung University, Taipei 11217, Taiwan;
| | - Yueh Chien
- Department of Medical Research, Taipei Veterans General Hospital, Taipei 11217, Taiwan; (Y.C.); (Y.-C.J.); (J.-R.W.); (L.-J.C.)
- Institute of Pharmacology, National Yang-Ming Chiao Tung University, Taipei 112304, Taiwan
| | - Ying-Chun Jheng
- Department of Medical Research, Taipei Veterans General Hospital, Taipei 11217, Taiwan; (Y.C.); (Y.-C.J.); (J.-R.W.); (L.-J.C.)
- School of Medicine, National Yang-Ming Chiao Tung University, Taipei 112304, Taiwan
- Big Data Center, Taipei Veterans General Hospital, Taipei 112201, Taiwan
| | - Jing-Rong Wu
- Department of Medical Research, Taipei Veterans General Hospital, Taipei 11217, Taiwan; (Y.C.); (Y.-C.J.); (J.-R.W.); (L.-J.C.)
| | - Lo-Jei Ching
- Department of Medical Research, Taipei Veterans General Hospital, Taipei 11217, Taiwan; (Y.C.); (Y.-C.J.); (J.-R.W.); (L.-J.C.)
| | - De-Kuang Hwang
- Department of Ophthalmology, Taipei Veterans General Hospital, Taipei 112304, Taiwan; (Y.-C.C.); (D.-K.H.); (C.-C.H.); (T.-C.L.); (Y.-B.C.); (Y.-M.H.); (S.-J.C.)
- Department of Medical Research, Taipei Veterans General Hospital, Taipei 11217, Taiwan; (Y.C.); (Y.-C.J.); (J.-R.W.); (L.-J.C.)
- School of Medicine, National Yang-Ming Chiao Tung University, Taipei 112304, Taiwan
- Institute of Clinical Medicine, National Yang-Ming Chiao Tung University, Taipei 112304, Taiwan
| | - Chih-Chien Hsu
- Department of Ophthalmology, Taipei Veterans General Hospital, Taipei 112304, Taiwan; (Y.-C.C.); (D.-K.H.); (C.-C.H.); (T.-C.L.); (Y.-B.C.); (Y.-M.H.); (S.-J.C.)
| | - Tai-Chi Lin
- Department of Ophthalmology, Taipei Veterans General Hospital, Taipei 112304, Taiwan; (Y.-C.C.); (D.-K.H.); (C.-C.H.); (T.-C.L.); (Y.-B.C.); (Y.-M.H.); (S.-J.C.)
- Department of Medical Research, Taipei Veterans General Hospital, Taipei 11217, Taiwan; (Y.C.); (Y.-C.J.); (J.-R.W.); (L.-J.C.)
- School of Medicine, National Yang-Ming Chiao Tung University, Taipei 112304, Taiwan
- Institute of Clinical Medicine, National Yang-Ming Chiao Tung University, Taipei 112304, Taiwan
| | - Yu-Bai Chou
- Department of Ophthalmology, Taipei Veterans General Hospital, Taipei 112304, Taiwan; (Y.-C.C.); (D.-K.H.); (C.-C.H.); (T.-C.L.); (Y.-B.C.); (Y.-M.H.); (S.-J.C.)
| | - Yi-Ming Huang
- Department of Ophthalmology, Taipei Veterans General Hospital, Taipei 112304, Taiwan; (Y.-C.C.); (D.-K.H.); (C.-C.H.); (T.-C.L.); (Y.-B.C.); (Y.-M.H.); (S.-J.C.)
| | - Shih-Jen Chen
- Department of Ophthalmology, Taipei Veterans General Hospital, Taipei 112304, Taiwan; (Y.-C.C.); (D.-K.H.); (C.-C.H.); (T.-C.L.); (Y.-B.C.); (Y.-M.H.); (S.-J.C.)
- School of Medicine, National Yang-Ming Chiao Tung University, Taipei 112304, Taiwan
| | - Yi-Ping Yang
- Department of Medical Research, Taipei Veterans General Hospital, Taipei 11217, Taiwan; (Y.C.); (Y.-C.J.); (J.-R.W.); (L.-J.C.)
- School of Medicine, National Yang-Ming Chiao Tung University, Taipei 112304, Taiwan
- Department of Internal Medicine, Taipei Veterans General Hospital, Taipei 112201, Taiwan
- Critical Center, Taipei Veterans General Hospital, Taipei 112201, Taiwan
- Correspondence: (Y.-P.Y.); (P.H.T.); Tel.: +886-2-2875-7394 (Y.-P.Y.); +886-2-2875-7394 (P.H.T.)
| | - Ping-Hsing Tsai
- Department of Medical Research, Taipei Veterans General Hospital, Taipei 11217, Taiwan; (Y.C.); (Y.-C.J.); (J.-R.W.); (L.-J.C.)
- Institute of Pharmacology, National Yang-Ming Chiao Tung University, Taipei 112304, Taiwan
- Correspondence: (Y.-P.Y.); (P.H.T.); Tel.: +886-2-2875-7394 (Y.-P.Y.); +886-2-2875-7394 (P.H.T.)
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7
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Comprehensive Analysis of RNA-Seq Gene Expression Profiling of Brain Transcriptomes Reveals Novel Genes, Regulators, and Pathways in Autism Spectrum Disorder. Brain Sci 2020; 10:brainsci10100747. [PMID: 33080834 PMCID: PMC7603078 DOI: 10.3390/brainsci10100747] [Citation(s) in RCA: 33] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/17/2020] [Revised: 10/09/2020] [Accepted: 10/14/2020] [Indexed: 02/06/2023] Open
Abstract
BACKGROUND Autism spectrum disorder (ASD) is a neurodevelopmental disorder with deficits in social communication ability and repetitive behavior. The pathophysiological events involved in the brain of this complex disease are still unclear. METHODS In this study, we aimed to profile the gene expression signatures of brain cortex of ASD patients, by using two publicly available RNA-seq studies, in order to discover new ASD-related genes. RESULTS We detected 1567 differentially expressed genes (DEGs) by meta-analysis, where 1194 were upregulated and 373 were downregulated genes. Several ASD-related genes previously reported were also identified. Our meta-analysis identified 235 new DEGs that were not detected using the individual RNA-seq studies used. Some of those genes, including seven DEGs (PAK1, DNAH17, DOCK8, DAPP1, PCDHAC2, and ERBIN, SLC7A7), have been confirmed in previous reports to be associated with ASD. Gene Ontology (GO) and pathways analysis showed several molecular pathways enriched by the DEGs, namely, osteoclast differentiation, TNF signaling pathway, complement and coagulation cascade. Topological analysis of protein-protein interaction of the ASD brain cortex revealed proteomics hub gene signatures: MYC, TP53, HDAC1, CDK2, BAG3, CDKN1A, GABARAPL1, EZH2, VIM, and TRAF1. We also identified the transcriptional factors (TFs) regulating DEGs, namely, FOXC1, GATA2, YY1, FOXL1, USF2, NFIC, NFKB1, E2F1, TFAP2A, HINFP. CONCLUSION Novel core genes and molecular signatures involved with ASD were identified by our meta-analysis.
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8
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Lago SG, Tomasik J, van Rees GF, Ramsey JM, Haenisch F, Cooper JD, Broek JA, Suarez-Pinilla P, Ruland T, Auyeug B, Mikova O, Kabacs N, Arolt V, Baron-Cohen S, Crespo-Facorro B, Bahn S. Exploring the neuropsychiatric spectrum using high-content functional analysis of single-cell signaling networks. Mol Psychiatry 2020; 25:2355-2372. [PMID: 30038233 DOI: 10.1038/s41380-018-0123-4] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/13/2017] [Revised: 05/04/2018] [Accepted: 05/25/2018] [Indexed: 12/26/2022]
Abstract
Neuropsychiatric disorders overlap in symptoms and share genetic risk factors, challenging their current classification into distinct diagnostic categories. Novel cross-disorder approaches are needed to improve our understanding of the heterogeneous nature of neuropsychiatric diseases and overcome existing bottlenecks in their diagnosis and treatment. Here we employ high-content multi-parameter phospho-specific flow cytometry, fluorescent cell barcoding and automated sample preparation to characterize ex vivo signaling network responses (n = 1764) measured at the single-cell level in B and T lymphocytes across patients diagnosed with four major neuropsychiatric disorders: autism spectrum condition (ASC), bipolar disorder (BD), major depressive disorder (MDD), and schizophrenia (SCZ; n = 25 each), alongside matched healthy controls (n = 100). We identified 25 nodes (individual cell subtype-epitope-ligand combinations) significantly altered relative to the control group, with variable overlap between different neuropsychiatric diseases and heterogeneously expressed at the level of each individual patient. Reconstruction of the diagnostic categories from the altered nodes revealed an overlapping neuropsychiatric spectrum extending from MDD on one end, through BD and SCZ, to ASC on the other end. Network analysis showed that although the pathway structure of the epitopes was broadly preserved across the clinical groups, there were multiple discrete alterations in network connectivity, such as disconnections within the antigen/integrin receptor pathway and increased negative regulation within the Akt1 pathway in CD4+ T cells from ASC and SCZ patients, in addition to increased correlation of Stat1 (pY701) and Stat5 (pY694) responses in B cells from BD and MDD patients. Our results support the "dimensional" approach to neuropsychiatric disease classification and suggest potential novel drug targets along the neuropsychiatric spectrum.
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Affiliation(s)
- Santiago G Lago
- Department of Chemical Engineering and Biotechnology, University of Cambridge, Cambridge, UK
| | - Jakub Tomasik
- Department of Chemical Engineering and Biotechnology, University of Cambridge, Cambridge, UK
| | - Geertje F van Rees
- Department of Chemical Engineering and Biotechnology, University of Cambridge, Cambridge, UK
| | - Jordan M Ramsey
- Department of Chemical Engineering and Biotechnology, University of Cambridge, Cambridge, UK
| | - Frieder Haenisch
- Department of Chemical Engineering and Biotechnology, University of Cambridge, Cambridge, UK
| | - Jason D Cooper
- Department of Chemical Engineering and Biotechnology, University of Cambridge, Cambridge, UK
| | - Jantine A Broek
- Department of Chemical Engineering and Biotechnology, University of Cambridge, Cambridge, UK
| | - Paula Suarez-Pinilla
- Department of Psychiatry, Marqués de Valdecilla University Hospital, IDIVAL, School of Medicine, University of Cantabria, Santander, Spain.,Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Santander, Spain
| | - Tillmann Ruland
- Department of Psychiatry and Psychotherapy, University of Münster, Münster, Germany
| | - Bonnie Auyeug
- Autism Research Centre, Department of Psychiatry, University of Cambridge, Cambridge, UK.,Psychology Department, Edinburgh University, Scotland, UK
| | - Olya Mikova
- Foundation Biological Psychiatry, Sofia, Bulgaria
| | - Nikolett Kabacs
- Cambridgeshire and Peterborough NHS Foundation Trust, Cambridge, UK
| | - Volker Arolt
- Department of Psychiatry and Psychotherapy, University of Münster, Münster, Germany
| | - Simon Baron-Cohen
- Autism Research Centre, Department of Psychiatry, University of Cambridge, Cambridge, UK.,CLASS Clinic, Cambridgeshire and Peterborough NHS Foundation Trust, Cambridge, UK
| | - Benedicto Crespo-Facorro
- Department of Psychiatry, Marqués de Valdecilla University Hospital, IDIVAL, School of Medicine, University of Cantabria, Santander, Spain.,Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Santander, Spain
| | - Sabine Bahn
- Department of Chemical Engineering and Biotechnology, University of Cambridge, Cambridge, UK.
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9
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Arsalan A, Iqbal Z, Tariq M, Ayonrinde O, Vincent JB, Ayub M. Association of smoked cannabis with treatment resistance in schizophrenia. Psychiatry Res 2019; 278:242-247. [PMID: 31229838 DOI: 10.1016/j.psychres.2019.06.023] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/18/2019] [Revised: 06/16/2019] [Accepted: 06/16/2019] [Indexed: 12/24/2022]
Abstract
Association of cannabis use with schizophrenia is a well-established finding. Its role in causation, however, is debated. Different studies have found that cannabis use impacts the outcome of schizophrenia and is associated with treatment non-adherence and a higher rate of relapses. In this paper, we investigated the impact of self-reported cannabis use on treatment response in a cohort of schizophrenia patients from Pakistan, a middle-income country. The data was collected from a psychiatric hospital in Khyber Pakhtunkhwa province of Pakistan where cannabis use is prevalent. Clinical evaluation and therapeutic response were established using the Positive and Negative Syndrome Scale (PANSS), and Clinical Global Impressions Scales-Severity (CGI-S) and Improvement (CGI-I) scale. Lack of response to adequate treatment with two trials of antipsychotics was classed as treatment resistance. We compared the treatment-resistant and treatment responsive groups for different variables including cannabis use, age at onset of illness, duration of untreated psychosis and consanguinity. We had data on 230 patients. More than ninety percent of our participants were men. The rate of treatment resistance was over 60%. Ongoing use of cannabis had an association with treatment resistance. We only included cases where treatment adherence was not a problem.
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Affiliation(s)
- Arsalan Arsalan
- Department of Pharmacy, University of Peshawar, KPK, Pakistan; The Molecular Neuropsychiatry & Development Lab, Campbell Family Mental Health Research Institute, Centre for Addiction & Mental Health, Toronto, ON, M5T 1R8, Canada
| | - Zafar Iqbal
- Department of Pharmacy, University of Peshawar, KPK, Pakistan
| | - Muhammad Tariq
- Sarhad Hospital for Psychiatric Diseases, Peshawar, KPK, Pakistan
| | | | - John B Vincent
- The Molecular Neuropsychiatry & Development Lab, Campbell Family Mental Health Research Institute, Centre for Addiction & Mental Health, Toronto, ON, M5T 1R8, Canada
| | - Muhammad Ayub
- Department of Psychiatry, Queen's University, Kingston, ON, Canada.
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10
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O'Connell KS, McGregor NW, Emsley R, Seedat S, Warnich L. The Potential Role of Regulatory Genes ( DNMT3A, HDAC5, and HDAC9) in Antipsychotic Treatment Response in South African Schizophrenia Patients. Front Genet 2019; 10:641. [PMID: 31354789 PMCID: PMC6635553 DOI: 10.3389/fgene.2019.00641] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2018] [Accepted: 06/18/2019] [Indexed: 12/22/2022] Open
Abstract
Despite advances in pharmacogenetics, the majority of heritability for treatment response cannot be explained by common variation, suggesting that factors such as epigenetics may play a key role. Regulatory genes, such as those involved in DNA methylation and transcriptional repression, are therefore excellent candidates for investigating antipsychotic treatment response. This study explored the differential expression of regulatory genes between patients with schizophrenia (chronic and antipsychotic-naïve first-episode patients) and healthy controls in order to identify candidate genes for association with antipsychotic treatment response. Seven candidate differentially expressed genes were identified, and four variants within these genes were found to be significantly associated with treatment response (DNMT3A rs2304429, HDAC5 rs11079983, and HDAC9 rs1178119 and rs11764843). Further analyses revealed that two of these variants (rs2304429 and rs11079983) are predicted to alter the expression of specific genes (DNMT3A, ASB16, and ASB16-AS1) in brain regions previously implicated in schizophrenia and treatment response. These results may aid in the development of biomarkers for antipsychotic treatment response, as well as novel drug targets.
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Affiliation(s)
| | | | - Robin Emsley
- Department of Psychiatry, Stellenbosch University, Tygerberg, South Africa
| | - Soraya Seedat
- Department of Psychiatry, Stellenbosch University, Tygerberg, South Africa
| | - Louise Warnich
- Department of Genetics, Stellenbosch University, Stellenbosch, South Africa
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11
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Vita A, Minelli A, Barlati S, Deste G, Giacopuzzi E, Valsecchi P, Turrina C, Gennarelli M. Treatment-Resistant Schizophrenia: Genetic and Neuroimaging Correlates. Front Pharmacol 2019; 10:402. [PMID: 31040787 PMCID: PMC6476957 DOI: 10.3389/fphar.2019.00402] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2018] [Accepted: 04/01/2019] [Indexed: 12/11/2022] Open
Abstract
Schizophrenia is a severe neuropsychiatric disorder that affects approximately 0.5–1% of the population. Response to antipsychotic therapy is highly variable, and it is not currently possible to predict those patients who will or will not respond to antipsychotic medication. Furthermore, a high percentage of patients, approximately 30%, are classified as treatment-resistant (treatment-resistant schizophrenia; TRS). TRS is defined as a non-response to at least two trials of antipsychotic medication of adequate dose and duration. These patients are usually treated with clozapine, the only evidence-based pharmacotherapy for TRS. However, clozapine is associated with severe adverse events. For these reasons, there is an increasing interest to identify better targets for drug development of new compounds and to establish better biomarkers for existing medications. The ability of antipsychotics to improve psychotic symptoms is dependent on their antagonist and reverse agonist activities at different neuroreceptors, and some genetic association studies of TRS have focused on different pharmacodynamic factors. Some genetic studies have shown an association between antipsychotic response or TRS and neurodevelopment candidate genes, antipsychotic mechanisms of action (such as dopaminergic, serotonergic, GABAergic, and glutamatergic) or pharmacokinetic factors (i.e., differences in the cytochrome families). Moreover, there is a growing body of literature on the structural and functional neuroimaging research into TRS. Neuroimaging studies can help to uncover the underlying neurobiological reasons for such resistance and identify resistant patients earlier. Studies examining the neuropharmacological mechanisms of antipsychotics, including clozapine, can help to improve our knowledge of their action on the central nervous system, with further implications for the discovery of biomarkers and the development of new treatments. The identification of the underlying mechanisms of TRS is a major challenge for developing personalized medicine in the psychiatric field for schizophrenia treatment. The main goal of precision medicine is to use genetic and brain-imaging information to improve the safety, effectiveness, and health outcomes of patients via more efficiently targeted risk stratification, prevention, and tailored medication and treatment management approaches. The aim of this review is to summarize the state of art of pharmacogenetic, pharmacogenomic and neuroimaging studies in TRS.
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Affiliation(s)
- Antonio Vita
- Department of Mental Health and Addiction Services, ASST Spedali Civili, Brescia, Italy.,Department of Clinical and Experimental Sciences, University of Brescia, Brescia, Italy
| | - Alessandra Minelli
- Department of Molecular and Translational Medicine, University of Brescia, Brescia, Italy
| | - Stefano Barlati
- Department of Mental Health and Addiction Services, ASST Spedali Civili, Brescia, Italy.,Department of Clinical and Experimental Sciences, University of Brescia, Brescia, Italy
| | - Giacomo Deste
- Department of Mental Health and Addiction Services, ASST Spedali Civili, Brescia, Italy
| | - Edoardo Giacopuzzi
- Genetic Unit, IRCCS Istituto Centro San Giovanni di Dio Fatebenefratelli, Brescia, Italy
| | - Paolo Valsecchi
- Department of Clinical and Experimental Sciences, University of Brescia, Brescia, Italy
| | - Cesare Turrina
- Department of Mental Health and Addiction Services, ASST Spedali Civili, Brescia, Italy.,Department of Clinical and Experimental Sciences, University of Brescia, Brescia, Italy
| | - Massimo Gennarelli
- Department of Molecular and Translational Medicine, University of Brescia, Brescia, Italy.,Genetic Unit, IRCCS Istituto Centro San Giovanni di Dio Fatebenefratelli, Brescia, Italy
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12
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Sengupta SM, Fotopoulos N, Devenyi GA, Fortier MÈ, Ter-Stepanian M, Sagliker S, Karama S, Mallar Chakravarty M, Labbe A, Grizenko N, Joober R. Dissecting genetic cross-talk between ADHD and other neurodevelopmental disorders: Evidence from behavioural, pharmacological and brain imaging investigations. Psychiatry Res 2018; 269:652-657. [PMID: 30216917 DOI: 10.1016/j.psychres.2018.08.080] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/28/2018] [Revised: 08/01/2018] [Accepted: 08/21/2018] [Indexed: 12/31/2022]
Abstract
Several epidemiological and genetic studies have provided evidence of an overlap between neurodevelopmental disorders. However, the details of the etiological pathways remain to be elucidated. In this study, we garnered the findings of previous GWAS, conducted with schizophrenia and bipolar disorder. We conducted an exploratory study to examine the association between these SNPs and quantitative clinical/ behavioural/ cognitive/ structural brain parameters, as well as response to treatment with a fixed dose of methylphenidate, in a relatively large sample of children with ADHD. Family-based association tests were conducted with nine tag SNPs with 602 nuclear families. In addition, structural magnetic resonance imaging (sMRI) was conducted in a subset of children with ADHD (n = 76). Of the 9 tag SNPs examined, rs1602565 showed a significant association with ADHD, several dimensional measures and response to treatment. An association was also observed between rs1006737 (CACNA1C) and performance IQ. In addition, significant reductions in cortical thickness measurements were observed with the risk allele in rs1006737. These results provide preliminary evidence for putative shared genetic vulnerability between childhood ADHD and other neurodevelopmental disorders.
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Affiliation(s)
- Sarojini M Sengupta
- Douglas Mental Health University Institute, 6875 LaSalle Blvd, Verdun, Quebec H4H 1R3, Canada; Department of Psychiatry, McGill University, Montreal, Quebec, Canada.
| | - Nellie Fotopoulos
- Douglas Mental Health University Institute, 6875 LaSalle Blvd, Verdun, Quebec H4H 1R3, Canada; Department of Human Genetics, McGill University, Montreal, Quebec, Canada
| | - Gabriel A Devenyi
- Douglas Mental Health University Institute, 6875 LaSalle Blvd, Verdun, Quebec H4H 1R3, Canada; Department of Psychiatry, McGill University, Montreal, Quebec, Canada
| | - Marie-Ève Fortier
- Douglas Mental Health University Institute, 6875 LaSalle Blvd, Verdun, Quebec H4H 1R3, Canada
| | - Marina Ter-Stepanian
- Department of Educational and Counselling Psychology, McGill University, Montreal, Quebec, Canada; Départment de Psychoéducation, Université de Sherbrooke, Canada
| | - Saba Sagliker
- Montreal Neurological Institute, Montreal, Quebec, Canada
| | - Sherif Karama
- Douglas Mental Health University Institute, 6875 LaSalle Blvd, Verdun, Quebec H4H 1R3, Canada; Department of Psychiatry, McGill University, Montreal, Quebec, Canada
| | - M Mallar Chakravarty
- Douglas Mental Health University Institute, 6875 LaSalle Blvd, Verdun, Quebec H4H 1R3, Canada; Department of Psychiatry, McGill University, Montreal, Quebec, Canada; Integrated Program in Neuroscience, McGill University, Montreal, Quebec, Canada; Department of Biological and Biomedical Engineering, McGill University, Montreal, Quebec, Canada
| | - Aurelie Labbe
- Department of Decision Sciences, HEC Montreal, Montreal, Quebec, Canada
| | - Natalie Grizenko
- Douglas Mental Health University Institute, 6875 LaSalle Blvd, Verdun, Quebec H4H 1R3, Canada; Department of Psychiatry, McGill University, Montreal, Quebec, Canada
| | - Ridha Joober
- Douglas Mental Health University Institute, 6875 LaSalle Blvd, Verdun, Quebec H4H 1R3, Canada; Department of Psychiatry, McGill University, Montreal, Quebec, Canada; Department of Human Genetics, McGill University, Montreal, Quebec, Canada; Department of Neurology and Neurosurgery, McGill University, Canada
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15
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Ovenden ES, McGregor NW, Emsley RA, Warnich L. DNA methylation and antipsychotic treatment mechanisms in schizophrenia: Progress and future directions. Prog Neuropsychopharmacol Biol Psychiatry 2018; 81:38-49. [PMID: 29017764 DOI: 10.1016/j.pnpbp.2017.10.004] [Citation(s) in RCA: 47] [Impact Index Per Article: 7.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/14/2017] [Revised: 10/01/2017] [Accepted: 10/04/2017] [Indexed: 12/15/2022]
Abstract
Antipsychotic response in schizophrenia is a complex, multifactorial trait influenced by pharmacogenetic factors. With genetic studies thus far providing little biological insight or clinical utility, the field of pharmacoepigenomics has emerged to tackle the so-called "missing heritability" of drug response in disease. Research on psychiatric disorders has only recently started to assess the link between epigenetic alterations and treatment outcomes. DNA methylation, the best characterised epigenetic mechanism to date, is discussed here in the context of schizophrenia and antipsychotic treatment outcomes. The majority of published studies have assessed the influence of antipsychotics on methylation levels in specific neurotransmitter-associated candidate genes or at the genome-wide level. While these studies illustrate the epigenetic modifications associated with antipsychotics, very few have assessed clinical outcomes and the potential of differential DNA methylation profiles as predictors of antipsychotic response. Results from other psychiatric disorder studies, such as depression and bipolar disorder, provide insight into what may be achieved by schizophrenia pharmacoepigenomics. Other aspects that should be addressed in future research include methodological challenges, such as tissue specificity, and the influence of genetic variation on differential methylation patterns.
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Affiliation(s)
- Ellen S Ovenden
- Department of Genetics, Stellenbosch University, Stellenbosch 7600, South Africa
| | - Nathaniel W McGregor
- Department of Genetics, Stellenbosch University, Stellenbosch 7600, South Africa
| | - Robin A Emsley
- Department of Psychiatry, Stellenbosch University, Tygerberg 7505, South Africa
| | - Louise Warnich
- Department of Genetics, Stellenbosch University, Stellenbosch 7600, South Africa.
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Falola O, Osamor VC, Adebiyi M, Adebiyi E. Analyzing a single nucleotide polymorphism in schizophrenia: a meta-analysis approach. Neuropsychiatr Dis Treat 2017; 13:2243-2250. [PMID: 28883732 PMCID: PMC5574680 DOI: 10.2147/ndt.s111900] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/21/2022] Open
Abstract
BACKGROUND Schizophrenia is a severe mental disorder affecting >21 million people worldwide. Some genetic studies reported that single nucleotide polymorphism (SNP) involving variant rs1344706 from the ZNF804A gene in human beings is associated with the risk of schizophrenia in several populations. Similar results tend to conflict with other reports in literature, indicating that no true significant association exists between rs1344706 and schizophrenia. We seek to determine the level of association of this SNP with schizophrenia in the Asian population using more recent genome-wide association study (GWAS) datasets. METHODS Applying a computational approach with inclusion of more recent GWAS datasets, we conducted a meta-analysis to examine the level of association of SNP rs1344706 and the risk of schizophrenia disorder among the Asian population constituting Chinese, Indonesians, Japanese, Kazakhs and Singaporeans. For a total of 21 genetic studies, including a total of 28,842 cases and 35,630 controls, regression analysis, publication bias, Cochran's Q and I2 tests were performed. The DerSimonian and Laird random-effects model was used to assess the association of the genetic variant to schizophrenia. Leave-one-out sensitivity analysis was also conducted to determine the influence of each study on the final outcome of the association study. RESULTS Our summarized analysis for Asian population revealed a pooled odds ratio of 1.06, 95% confidence interval of 1.01-1.11 and two-tailed P-value of 0.0228. Our test for heterogeneity showed the presence of large heterogeneity (I2=53.44%, P =0.00207) and Egger's regression test (P =0.8763) and Begg's test (P =0.8347), indicating no presence of publication bias among our selected studies. In our sensitivity analysis, 10 different studies comprising of ~50% of the entire study had an impact on our final results as each leave-one-out test became insignificant. Our result suggests that genetic variant rs1344706 might be associated with the development of schizophrenia in Asians.
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Affiliation(s)
| | - Victor Chukwudi Osamor
- Covenant University Bioinformatics Research (CUBRe)
- Department of Computer and Information Sciences, College of Science and Technology, Covenant University, Ota, Ogun State, Nigeria
| | - Marion Adebiyi
- Covenant University Bioinformatics Research (CUBRe)
- Department of Computer and Information Sciences, College of Science and Technology, Covenant University, Ota, Ogun State, Nigeria
| | - Ezekiel Adebiyi
- Covenant University Bioinformatics Research (CUBRe)
- Department of Computer and Information Sciences, College of Science and Technology, Covenant University, Ota, Ogun State, Nigeria
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17
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Yue W, Yu X, Zhang D. Progress in genome-wide association studies of schizophrenia in Han Chinese populations. NPJ SCHIZOPHRENIA 2017; 3:24. [PMID: 28798405 PMCID: PMC5552785 DOI: 10.1038/s41537-017-0029-1] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/01/2017] [Revised: 04/29/2017] [Accepted: 05/03/2017] [Indexed: 01/01/2023]
Abstract
Since 2006, genome-wide association studies of schizophrenia have led to the identification of numerous novel risk loci for this disease. However, there remains a geographical imbalance in genome-wide association studies, which to date have primarily focused on Western populations. During the last 6 years, genome-wide association studies in Han Chinese populations have identified both the sharing of susceptible loci across ethnicities and genes unique to Han Chinese populations. Here, we review recent progress in genome-wide association studies of schizophrenia in Han Chinese populations. Researchers have identified and replicated the sharing of susceptible genes, such as within the major histocompatibility complex, microRNA 137 (MIR137), zinc finger protein 804A (ZNF804A), vaccinia related kinase 2 (VRK2), and arsenite methyltransferase (AS3MT), across both European and East Asian populations. Several copy number variations identified in European populations have also been validated in the Han Chinese, including duplications at 16p11.2, 15q11.2-13.1, 7q11.23, and VIPR2 and deletions at 22q11.2, 1q21.1-q21.2, and NRXN1. However, these studies have identified some potential confounding factors, such as genetic heterogeneity and the effects of natural selection on tetraspanin 18 (TSPAN18) or zinc finger protein 323 (ZNF323), which may explain the population differences in genome-wide association studies. In the future, genome-wide association studies in Han Chinese populations should include meta-analyzes or mega-analyses with enlarged sample sizes across populations, deep sequencing, precision medicine treatment, and functional exploration of the risk genes for schizophrenia.
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Affiliation(s)
- Weihua Yue
- Institute of Mental Health, the Sixth Hospital, Peking University, 100191, Beijing, China.
- Key Laboratory of Mental Health, Ministry of Health & National Clinical Research Center for Mental Disorders (Peking University), 100191, Beijing, China.
| | - Xin Yu
- Institute of Mental Health, the Sixth Hospital, Peking University, 100191, Beijing, China
- Key Laboratory of Mental Health, Ministry of Health & National Clinical Research Center for Mental Disorders (Peking University), 100191, Beijing, China
| | - Dai Zhang
- Institute of Mental Health, the Sixth Hospital, Peking University, 100191, Beijing, China
- Key Laboratory of Mental Health, Ministry of Health & National Clinical Research Center for Mental Disorders (Peking University), 100191, Beijing, China
- Peking-Tsinghua Joint Center for Life Sciences & PKU-IDG/McGovern Institute for Brain Research, Peking University, 100871, Beijing, China
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18
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Chang H, Xiao X, Li M. The schizophrenia risk gene ZNF804A: clinical associations, biological mechanisms and neuronal functions. Mol Psychiatry 2017; 22:944-953. [PMID: 28289284 DOI: 10.1038/mp.2017.19] [Citation(s) in RCA: 51] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/28/2016] [Revised: 01/02/2017] [Accepted: 01/09/2017] [Indexed: 02/07/2023]
Abstract
ZNF804A (zinc-finger protein 804A) has been recognized as a schizophrenia risk gene across multiple world populations. Its intronic single-nucleotide polymorphism (SNP) rs1344706 is among one of the strongest susceptibility variants that have achieved genome-wide significance in genome-wide association studies (GWAS) for schizophrenia and has been widely and intensively studied. To elucidate the biological mechanisms underlying the genetic risk conferred by rs1344706, we retrospectively analyzed the progresses in brain gene expression quantitative trait loci (eQTL) analyses, ZNF804A-induced pathway alterations in neural cells and changes in synaptic phenotypes associated with ZNF804A expression. Based on these data, we hypothesize a potential biological mechanism for a genetic risk allele of ZNF804A in schizophrenia pathogenesis. We also review the efforts being made to characterize the affected intermediate phenotypes using neuroimaging and neuropsychological approaches. We then discuss additional common and rare ZNF804A variants in schizophrenia susceptibility and the potential genetic heterogeneity of these genomic loci between Europeans and Asians. This review for we believe the first time systematically presents the evidence for ZNF804A, describing its discovery and likely roles in brain development and schizophrenia pathogenesis. We believe that this work has summarized this information with a systemic and broad assessment of recent findings.
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Affiliation(s)
- H Chang
- Key Laboratory of Animal Models and Human Disease Mechanisms of The Chinese Academy of Sciences and Yunnan Province, Kunming Institute of Zoology, Kunming, China
| | - X Xiao
- Key Laboratory of Animal Models and Human Disease Mechanisms of The Chinese Academy of Sciences and Yunnan Province, Kunming Institute of Zoology, Kunming, China
| | - M Li
- Key Laboratory of Animal Models and Human Disease Mechanisms of The Chinese Academy of Sciences and Yunnan Province, Kunming Institute of Zoology, Kunming, China
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19
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Chen CH, Yang JH, Chiang CWK, Hsiung CN, Wu PE, Chang LC, Chu HW, Chang J, Song IW, Yang SL, Chen YT, Liu FT, Shen CY. Population structure of Han Chinese in the modern Taiwanese population based on 10,000 participants in the Taiwan Biobank project. Hum Mol Genet 2017; 25:5321-5331. [PMID: 27798100 DOI: 10.1093/hmg/ddw346] [Citation(s) in RCA: 141] [Impact Index Per Article: 20.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2016] [Accepted: 10/04/2016] [Indexed: 12/19/2022] Open
Abstract
The Taiwan Biobank (TWB) aims to build a nationwide research database that integrates genomic/epigenomic profiles, lifestyle patterns, dietary habits, environmental exposure history and long-term health outcomes of 300,000 residents of Taiwan. We describe here an investigation of the population structure of Han Chinese on this Pacific island using genotype data of 591,048 SNPs in an initial freeze of 10,801 unrelated TWB participants. In addition to the North-South cline reported in other Han Chinese populations, we find the Taiwanese Han Chinese clustered into three cline groups: 5% were of northern Han Chinese ancestry, 79.9% were of southern Han Chinese ancestry, and 14.5% belonged to a third (T) group. We also find that this T group is genetically distinct from neighbouring Southeast Asians and Austronesian tribes but similar to other southern Han Chinese. Interestingly, high degree of LD between HLA haplotype A*33:03-B*58:01, an MHC allele being of pathological relevance, and SNPs across the MHC region was observed in subjects with T origin, but not in other Han Chinese. This suggested the T group individuals may have experienced evolutionary events independent from the other southern Han Chinese. Based on the newly-discovered population structure, we detect different loci susceptible to type II diabetes in individuals with southern and northern Han Chinese ancestries. Finally, as one of the largest dataset currently available for the Chinese population, genome-wide statistics for the 10,810 subjects are made publicly accessible through Taiwan View (https://taiwanview.twbiobank.org.tw/index; date last accessed October 14, 2016) to encourage future genetic research and collaborations with the island Taiwan.
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Affiliation(s)
- Chien-Hsiun Chen
- Institute of Biomedical Sciences, Academia Sinica, Taipei City, Taiwan.,National Center for Genome Medicine, Academia Sinica, Taipei City, Taiwan.,School of Chinese Medicine, China Medical University, Taichung City, Taiwan
| | - Jenn-Hwai Yang
- Institute of Biomedical Sciences, Academia Sinica, Taipei City, Taiwan.,National Center for Genome Medicine, Academia Sinica, Taipei City, Taiwan
| | - Charleston W K Chiang
- Center for Neurobehavioral Genetics, Semel Institute for Neuroscience and Human Behavior, UCLA, CA, USA
| | - Chia-Ni Hsiung
- Taiwan Biobank, Academia Sinica, Taipei City, Taiwan.,Institute of Biomedical Sciences, Academia Sinica, Taipei City, Taiwan
| | - Pei-Ei Wu
- Taiwan Biobank, Academia Sinica, Taipei City, Taiwan.,Institute of Biomedical Sciences, Academia Sinica, Taipei City, Taiwan
| | - Li-Ching Chang
- Institute of Biomedical Sciences, Academia Sinica, Taipei City, Taiwan.,National Center for Genome Medicine, Academia Sinica, Taipei City, Taiwan
| | - Hou-Wei Chu
- Taiwan Biobank, Academia Sinica, Taipei City, Taiwan.,Institute of Biomedical Sciences, Academia Sinica, Taipei City, Taiwan
| | - Josh Chang
- Institute of Biomedical Sciences, Academia Sinica, Taipei City, Taiwan
| | - I-Wen Song
- Institute of Biomedical Sciences, Academia Sinica, Taipei City, Taiwan
| | - Show-Ling Yang
- Institute of Biomedical Sciences, Academia Sinica, Taipei City, Taiwan
| | - Yuan-Tsong Chen
- Institute of Biomedical Sciences, Academia Sinica, Taipei City, Taiwan
| | - Fu-Tong Liu
- Taiwan Biobank, Academia Sinica, Taipei City, Taiwan.,Institute of Biomedical Sciences, Academia Sinica, Taipei City, Taiwan
| | - Chen-Yang Shen
- Taiwan Biobank, Academia Sinica, Taipei City, Taiwan.,Institute of Biomedical Sciences, Academia Sinica, Taipei City, Taiwan.,College of Public Health, China Medical University, Taichung City, Taiwan
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Chen X, Long F, Cai B, Chen X, Chen G. A novel relationship for schizophrenia, bipolar and major depressive disorder Part 5: a hint from chromosome 5 high density association screen. Am J Transl Res 2017; 9:2473-2491. [PMID: 28559998 PMCID: PMC5446530] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2016] [Accepted: 01/31/2017] [Indexed: 06/07/2023]
Abstract
Familial clustering of schizophrenia (SCZ), bipolar disorder (BPD), and major depressive disorder (MDD) was systematically reported (Aukes, M. F. Genet Med 2012, 14, 338-341) and any two or even three of these disorders could co-exist in some families. In addition, evidence from symptomatology and psychopharmacology also imply that there are intrinsic connections between these three major disorders. A total of 56,569 single nucleotide polymorphism (SNPs) on chromosome 5 were genotyped by Affymetrix Genome-Wide Human SNP array 6.0 on 119 SCZ, 253 BPD (type-I), 177 MDD patients and 1000 controls. Associated SNPs and flanking genes was screen out systematically, and cadherin pathway genes (CDH6, CDH9, CDH10, CDH12, and CDH18) belong to outstanding genes. Unexpectedly, nearly all flanking genes of the associated SNPs distinctive for BPD and MDD were replicated in an enlarged cohort of 986 SCZ patients (P ≤ 9.9E-8). Considering multiple bits of evidence, our chromosome 5 analyses implicated that bipolar and major depressive disorder might be subtypes of schizophrenia rather than two independent disease entities. Also, cadherin pathway genes play important roles in the pathogenesis of the three major mental disorders.
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Affiliation(s)
- Xing Chen
- Department of Medical Genetics, Institute of Basic Medicine, Shandong Academy of Medical Sciences18877 Jingshi Road, Jinan 250062, Shandong, People’s Republic of China
| | - Feng Long
- Department of Medical Genetics, Institute of Basic Medicine, Shandong Academy of Medical Sciences18877 Jingshi Road, Jinan 250062, Shandong, People’s Republic of China
| | - Bin Cai
- Capital Bio Corporation18 Life Science Parkway, Changping District, Beijing 102206, People’s Republic of China
| | - Xiaohong Chen
- Capital Bio Corporation18 Life Science Parkway, Changping District, Beijing 102206, People’s Republic of China
| | - Gang Chen
- Department of Medical Genetics, Institute of Basic Medicine, Shandong Academy of Medical Sciences18877 Jingshi Road, Jinan 250062, Shandong, People’s Republic of China
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21
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Genetic association of rs1344706 in ZNF804A with bipolar disorder and schizophrenia susceptibility in Chinese populations. Sci Rep 2017; 7:41140. [PMID: 28120939 PMCID: PMC5264157 DOI: 10.1038/srep41140] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2016] [Accepted: 12/15/2016] [Indexed: 02/06/2023] Open
Abstract
Rs1344706 in the the zinc finger protein 804A (ZNF804A) gene has been identified to be associated with schizophrenia and bipolar disorder (BD) in Europeans. However, whether rs1344706 is associated with schizophrenia in Chinese populations remains inconclusive; furthermore, the association between rs1344706 and BD in Chinese populations has been rarely explored. To explore the association between rs1344706 and schizophrenia/BD in Chinese populations, we genotyped rs1344706 among 1128 Chinese subjects (537 patients with BD and 591 controls) and found that rs1344706 showed marginal allelic association with BD (P = 0.028) with T-allele being more prevalent in cases than that in controls (OR = 1.19, 95% CI 1.03–1.37). Meta-analysis of rs1344706 by pooling all available data showed that rs1344706 was significantly associated with BD (P = 0.001). Besides, positive association of rs1344706 with schizophrenia was observed in Northern Chinese (P = 0.005). Furthermore, ZNF804A is highly expressed in human and mouse brains, especially in prenatal stage.
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22
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Gillespie AL, Samanaite R, Mill J, Egerton A, MacCabe JH. Is treatment-resistant schizophrenia categorically distinct from treatment-responsive schizophrenia? a systematic review. BMC Psychiatry 2017; 17:12. [PMID: 28086761 PMCID: PMC5237235 DOI: 10.1186/s12888-016-1177-y] [Citation(s) in RCA: 144] [Impact Index Per Article: 20.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/10/2016] [Accepted: 12/23/2016] [Indexed: 12/19/2022] Open
Abstract
BACKGROUND Schizophrenia is a highly heterogeneous disorder, and around a third of patients are treatment-resistant. The only evidence-based treatment for these patients is clozapine, an atypical antipsychotic with relatively weak dopamine antagonism. It is plausible that varying degrees of response to antipsychotics reflect categorically distinct illness subtypes, which would have significant implications for research and clinical practice. If these subtypes could be distinguished at illness onset, this could represent a first step towards personalised medicine in psychiatry. This systematic review investigates whether current evidence supports conceptualising treatment-resistant and treatment-responsive schizophrenoa as categorically distinct subtypes. METHOD A systematic literature search was conducted, using PubMed, EMBASE, PsycInfo, CINAHL and OpenGrey databases, to identify all studies which compared treatment-resistant schizophrenia (defined as either a lack of response to two antipsychotic trials or clozapine prescription) to treatment-responsive schizophrenia (defined as known response to non-clozapine antipsychotics). RESULTS Nineteen studies of moderate quality met inclusion criteria. The most robust findings indicate that treatment-resistant patients show glutamatergic abnormalities, a lack of dopaminergic abnormalities, and significant decreases in grey matter compared to treatment-responsive patients. Treatment-resistant patients were also reported to have higher familial loading; however, no individual gene-association study reported their findings surviving correction for multiple comparisons. CONCLUSIONS Tentative evidence supports conceptualising treatment-resistant schizophrenia as a categorically different illness subtype to treatment-responsive schizophrenia. However, research is limited and confirmation will require replication and rigorously controlled studies with large sample sizes and prospective study designs.
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Affiliation(s)
- Amy L. Gillespie
- Psychosis Studies Department, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, 16 De Crespigny Park, Denmark Hill, London, SE5 8AF UK
| | - Ruta Samanaite
- Psychosis Studies Department, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, 16 De Crespigny Park, Denmark Hill, London, SE5 8AF UK
| | - Jonathan Mill
- Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, UK ,University of Exeter Medical School, Exeter University, St Luke’s Campus, Exeter, UK
| | - Alice Egerton
- Psychosis Studies Department, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, 16 De Crespigny Park, Denmark Hill, London, SE5 8AF UK
| | - James H. MacCabe
- Psychosis Studies Department, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, 16 De Crespigny Park, Denmark Hill, London, SE5 8AF UK
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23
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Ovenden ES, Drögemöller BI, van der Merwe L, Chiliza B, Asmal L, Emsley RA, Warnich L. Fine-mapping of antipsychotic response genome-wide association studies reveals novel regulatory mechanisms. Pharmacogenomics 2017; 18:105-120. [DOI: 10.2217/pgs-2016-0108] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/19/2023] Open
Abstract
Aim: Noncoding variation has demonstrated regulatory effects on disease treatment outcomes. This study investigated the potential functionality of previously implicated noncoding variants on schizophrenia treatment response. Materials & methods: Predicted regulatory potential of variation identified from antipsychotic response genome-wide association studies was determined. Prioritized variants were assessed for association(s) with treatment outcomes in a South African first episode schizophrenia cohort (n = 103). Results: Bioinformatic and association results implicated a relationship between regulatory variants, expression of MANBA, COL9A2 and NFKB1, and treatment response. Three SNPs were associated with poor outcomes (rs230493: p = 1.88 × 10-6; rs3774959: p = 1.75 × 10-5; and rs230504: p = 1.48 × 10-4). Conclusion: This study has thoroughly investigated previous GWAS to pinpoint variants that may play a causal role in poor schizophrenia treatment outcomes, and provides potential candidate genes for further study in the field of antipsychotic response.
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Affiliation(s)
- Ellen S Ovenden
- Department of Genetics, Stellenbosch University, Stellenbosch, South Africa
| | | | - Lize van der Merwe
- Department of Genetics, Stellenbosch University, Stellenbosch, South Africa
| | - Bonginkosi Chiliza
- Department of Psychiatry, Stellenbosch University, Tygerberg, South Africa
| | - Laila Asmal
- Department of Psychiatry, Stellenbosch University, Tygerberg, South Africa
| | - Robin A Emsley
- Department of Psychiatry, Stellenbosch University, Tygerberg, South Africa
| | - Louise Warnich
- Department of Genetics, Stellenbosch University, Stellenbosch, South Africa
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Guan F, Zhang T, Li L, Fu D, Lin H, Chen G, Chen T. Two-stage replication of previous genome-wide association studies of AS3MT-CNNM2-NT5C2 gene cluster region in a large schizophrenia case-control sample from Han Chinese population. Schizophr Res 2016; 176:125-130. [PMID: 27401531 DOI: 10.1016/j.schres.2016.07.004] [Citation(s) in RCA: 43] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/19/2015] [Revised: 06/29/2016] [Accepted: 07/04/2016] [Indexed: 12/28/2022]
Abstract
Schizophrenia is a devastating psychiatric condition with high heritability. Replicating the specific genetic variants that increase susceptibility to schizophrenia in different populations is critical to better understand schizophrenia. CNNM2 and NT5C2 are genes recently identified as susceptibility genes for schizophrenia in Europeans, but the exact mechanism by which these genes confer risk for schizophrenia remains unknown. In this study, we examined the potential for genetic susceptibility to schizophrenia of a three-gene cluster region, AS3MT-CNNM2-NT5C2. We implemented a two-stage strategy to conduct association analyses of the targeted regions with schizophrenia. A total of 8218 individuals were recruited, and 45 pre-selected single nucleotide polymorphisms (SNPs) were genotyped. Both single-marker and haplotype-based analyses were conducted in addition to imputation analysis to increase the coverage of our genetic markers. Two SNPs, rs11191419 (OR=1.24, P=7.28×10(-5)) and rs11191514 (OR=1.24, P=0.0003), with significant independent effects were identified. These results were supported by the data from both the discovery and validation stages. Further haplotype and imputation analyses also validated these results, and bioinformatics analyses indicated that CALHM1, which is located approximately 630kb away from CNNM2, might be a susceptible gene for schizophrenia. Our results provide further support that AS3MT, CNNM2 and CALHM1 are involved with the etiology and pathogenesis of schizophrenia, suggesting these genes are potential targets of interest for the improvement of disease management and the development of novel pharmacological strategies.
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Affiliation(s)
- Fanglin Guan
- Department of Forensic Psychiatry, School of Medicine & Forensics, Xi'an Jiaotong University, Xi'an, China; Key Laboratory of National Ministry of Health for Forensic Sciences, School of Medicine & Forensics, Xi'an Jiaotong University, Xi'an, China; Key Laboratory of Environment and Genes Related to Diseases, Ministry of Education, Xi'an, China.
| | - Tianxiao Zhang
- Department of Psychiatry, School of Medicine, Washington University, Saint Louis, MO, USA.
| | - Lu Li
- Department of Forensic Psychiatry, School of Medicine & Forensics, Xi'an Jiaotong University, Xi'an, China; Key Laboratory of National Ministry of Health for Forensic Sciences, School of Medicine & Forensics, Xi'an Jiaotong University, Xi'an, China
| | - Dongke Fu
- Key Laboratory of National Ministry of Health for Forensic Sciences, School of Medicine & Forensics, Xi'an Jiaotong University, Xi'an, China; Key Laboratory of Environment and Genes Related to Diseases, Ministry of Education, Xi'an, China
| | - Huali Lin
- Xi'an Mental Health Center, Xi'an, China
| | - Gang Chen
- Key Laboratory of National Ministry of Health for Forensic Sciences, School of Medicine & Forensics, Xi'an Jiaotong University, Xi'an, China
| | - Teng Chen
- Department of Forensic Psychiatry, School of Medicine & Forensics, Xi'an Jiaotong University, Xi'an, China; Key Laboratory of National Ministry of Health for Forensic Sciences, School of Medicine & Forensics, Xi'an Jiaotong University, Xi'an, China; Key Laboratory of Environment and Genes Related to Diseases, Ministry of Education, Xi'an, China
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25
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Gonzalez S, Gupta J, Villa E, Mallawaarachchi I, Rodriguez M, Ramirez M, Zavala J, Armas R, Dassori A, Contreras J, Flores D, Jerez A, Ontiveros A, Nicolini H, Escamilla M. Replication of genome-wide association study (GWAS) susceptibility loci in a Latino bipolar disorder cohort. Bipolar Disord 2016; 18:520-527. [PMID: 27759212 PMCID: PMC5095871 DOI: 10.1111/bdi.12438] [Citation(s) in RCA: 21] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/09/2015] [Accepted: 09/02/2016] [Indexed: 12/23/2022]
Abstract
OBJECTIVES Recent genome-wide association studies (GWASs) have identified numerous putative genetic polymorphisms associated with bipolar disorder (BD) and/or schizophrenia (SC). We hypothesized that a portion of these polymorphisms would also be associated with BD in the Latino American population. To identify such regions, we tested previously identified genetic variants associated with BD and/or SC and ancestral haploblocks containing these single nucleotide polymorphisms (SNPs) in a sample of Latino subjects with BD. METHODS A total of 2254 Latino individuals were genotyped for 91 SNPs identified in previous BD and/or SC GWASs, along with selected SNPs in strong linkage disequilibrium with these markers. Family-based single marker and haplotype association testing was performed using the PBAT software package. Empirical P-values were derived from 10 000 permutations. RESULTS Associations of eight a priori GWAS SNPs with BD were replicated with nominal (P≤.05) levels of significance. These included SNPs within nuclear factor I A (NFIA), serologically defined colon cancer antigen 8 (SDCCAG8), lysosomal associated membrane protein 3 (LAMP3), nuclear factor kappa B subunit 1 (NFKB1), major histocompatibility complex, class I, B (HLA-B) and 5'-nucleotidase, cytosolic II (NT5C2) and SNPs within intragenic regions microRNA 6828 (MIR6828)-solute carrier family 7 member 14 (SLC7A14) and sonic hedgehog (SHH)-long intergenic non-protein coding RNA 1006 (LINC01006). Of the 76 ancestral haploblocks that were tested for associations with BD, our top associated haploblock was located in LAMP3; however, the association did not meet statistical thresholds of significance following Bonferroni correction. CONCLUSIONS These results indicate that some of the gene variants found to be associated with BD or SC in other populations are also associated with BD risk in Latinos. Variants in six genes and two intragenic regions were associated with BD in our Latino sample and provide additional evidence for overlap in genetic risk between SC and BD.
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Affiliation(s)
- Suzanne Gonzalez
- Center of Excellence in Neurosciences, Department of Biomedical Sciences, Paul L. Foster School of Medicine, Texas Tech University Health Sciences Center, El Paso, TX, USA.
| | - Jayanta Gupta
- Department of Health Sciences, College of Health Professions & Social Work, Florida Gulf Coast University, Fort Myers, FL, USA
| | - Erika Villa
- Center of Excellence in Neurosciences, Department of Biomedical Sciences, Paul L. Foster School of Medicine, Texas Tech University Health Sciences Center, El Paso, TX, USA
| | - Indika Mallawaarachchi
- Biostatistics and Epidemiology Consulting Lab, Paul L. Foster School of Medicine, Texas Tech University Health Sciences Center, El Paso, TX, USA
| | - Marco Rodriguez
- Center of Excellence in Neurosciences, Department of Biomedical Sciences, Paul L. Foster School of Medicine, Texas Tech University Health Sciences Center, El Paso, TX, USA
| | - Mercedes Ramirez
- Center of Excellence in Neurosciences, Department of Biomedical Sciences, Paul L. Foster School of Medicine, Texas Tech University Health Sciences Center, El Paso, TX, USA
- Department of Psychiatry, Paul L. Foster School of Medicine, Texas Tech University Health Sciences Center, El Paso, TX, USA
| | - Juan Zavala
- Center of Excellence in Neurosciences, Department of Biomedical Sciences, Paul L. Foster School of Medicine, Texas Tech University Health Sciences Center, El Paso, TX, USA
- Department of Psychiatry, Paul L. Foster School of Medicine, Texas Tech University Health Sciences Center, El Paso, TX, USA
| | - Regina Armas
- Langley Porter Psychiatric Institute, University of California at San Francisco, San Francisco, CA, USA
| | - Albana Dassori
- Department of Psychiatry, University of Texas Health Science Center at San Antonio, San Antonio, TX, USA
- South Texas Veterans Health Care System, San Antonio, TX, USA
| | - Javier Contreras
- Centro de Investigación en Biología Celular y Molecular y Escuela de Biologia, Universidad de Costa Rica, San Jose, Costa Rica
| | - Deborah Flores
- Los Angeles Biomedical Research Center at Harbor, University of California Los Angeles Medical Center, Torrance, CA, USA
| | - Alvaro Jerez
- Centro Internacional de Trastornos Afectivos y de la Conducta Adictiva, Guatemala City, Guatemala
| | - Alfonso Ontiveros
- Instituto de Información e Investigación en Salud Mental AC, Monterrey, Nuevo Leon, México
| | - Humberto Nicolini
- Grupo de Estudios Médicos y Familiares Carracci S.C., México D.F, México
| | - Michael Escamilla
- Center of Excellence in Neurosciences, Department of Biomedical Sciences, Paul L. Foster School of Medicine, Texas Tech University Health Sciences Center, El Paso, TX, USA
- Department of Psychiatry, Paul L. Foster School of Medicine, Texas Tech University Health Sciences Center, El Paso, TX, USA
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26
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Xia M, Abazyan S, Jouroukhin Y, Pletnikov M. Behavioral sequelae of astrocyte dysfunction: focus on animal models of schizophrenia. Schizophr Res 2016; 176:72-82. [PMID: 25468180 PMCID: PMC4439390 DOI: 10.1016/j.schres.2014.10.044] [Citation(s) in RCA: 35] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/30/2014] [Revised: 10/29/2014] [Accepted: 10/31/2014] [Indexed: 12/12/2022]
Abstract
Astrocytes regulate multiple processes in the brain ranging from trophic support of developing neurons to modulation of synaptic neurotransmission and neuroinflammation in adulthood. It is, therefore, understandable that pathogenesis and pathophysiology of major psychiatric disorders involve astrocyte dysfunctions. Until recently, there has been the paucity of experimental approaches to studying the roles of astrocytes in behavioral disease. A new generation of in vivo models allows us to advance our understanding of the roles of astrocytes in psychiatric disorders. This review will evaluate the recent studies that focus on the contribution of astrocyte dysfunction to behavioral alterations pertinent to schizophrenia and will propose the possible solutions of the limitations of the existing approaches.
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Affiliation(s)
- Meng Xia
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine,Preclinical College, Guangxi University of Chinese Medicine, Nanning, 530001, Guangxi Province, China,Chinese Medicine College, Hubei University for Nationalities, ENSHI, 445000, Hubei Province, China
| | - Sofya Abazyan
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine
| | - Yan Jouroukhin
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine
| | - Mikhail Pletnikov
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, United States; Department of Molecular and Comparative Pathobiology, Johns Hopkins University School of Medicine, United States; Solomon H. Snyder Department of Neuroscience, Johns Hopkins University School of Medicine, United States; Department of Molecular Microbiology and Immunology, Johns Hopkins Bloomberg School of Public Health, United States.
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27
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Oh-Nishi A, Koga K, Maeda T, Suhara T. A possible serologic biomarker for maternal immune activation-associated neurodevelopmental disorders found in the rat models. Neurosci Res 2016; 113:63-70. [PMID: 27425770 DOI: 10.1016/j.neures.2016.07.003] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2016] [Revised: 06/21/2016] [Accepted: 07/07/2016] [Indexed: 12/26/2022]
Abstract
Epidemiological studies have shown that maternal infection during early pregnancy increases the risk of neurodevelopmental disorders (i.e., schizophrenia or autism) in offspring. Recently, diagnostic/stratification biomarkers for the maternal immune activation background in patients with neurodevelopmental disorders have been energetically searched for in the patient blood. Here, we report a novel serologic marker candidate for the disorders found in the maternal immune activation (MIA) rat model. Serum proteome analysis of the MIA rat showed that the immunoglobulin (Ig) light chain is reproducibly augmented. The Ig light chain in sera takes two forms - free form or bound to the Ig heavy chain. Only the former is an inflammatory disease marker, but pro-inflammatory cytokine levels in the sera of the MIA rats were below detectable limits of the ELISA protocol we used. We thereby carried out serum assays of Ig light chains and pro-inflammatory cytokines of commercially available schizophrenia patient sera for research. Although the number of samples was limited, we found augmentation of free Ig light chains but not pro-inflammatory cytokines in sporadic schizophrenia patient sera. Our findings suggest that Ig light chain assay of the schizophrenia/autism patient sera would be worthy to be validated in larger scale.
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Affiliation(s)
- Arata Oh-Nishi
- Department of Functional Brain Imaging, National Institute of Radiological Sciences, National Institutes for Quantum and Radiological Sciences and Technology, Chiba 263-8555, Japan.
| | - Kaori Koga
- Anatech Corporation, Tokyo 113-0034, Japan
| | - Tadakazu Maeda
- Professor Emeritus, Kitasato University, Kanagawa 252-0373, Japan
| | - Tetsuya Suhara
- Department of Functional Brain Imaging, National Institute of Radiological Sciences, National Institutes for Quantum and Radiological Sciences and Technology, Chiba 263-8555, Japan
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28
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The dopamine beta-hydroxylase gene polymorphism rs1611114 is associated with schizophrenia in the Chinese Zhuang but not Chinese Han population. Mol Genet Genomics 2016; 291:1813-21. [DOI: 10.1007/s00438-016-1221-0] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/24/2015] [Accepted: 05/24/2016] [Indexed: 10/21/2022]
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29
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Cariaga-Martinez A, Saiz-Ruiz J, Alelú-Paz R. From Linkage Studies to Epigenetics: What We Know and What We Need to Know in the Neurobiology of Schizophrenia. Front Neurosci 2016; 10:202. [PMID: 27242407 PMCID: PMC4862989 DOI: 10.3389/fnins.2016.00202] [Citation(s) in RCA: 30] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/16/2016] [Accepted: 04/25/2016] [Indexed: 01/15/2023] Open
Abstract
Schizophrenia is a complex psychiatric disorder characterized by the presence of positive, negative, and cognitive symptoms that lacks a unifying neuropathology. In the present paper, we will review the current understanding of molecular dysregulation in schizophrenia, including genetic and epigenetic studies. In relation to the latter, basic research suggests that normal cognition is regulated by epigenetic mechanisms and its dysfunction occurs upon epigenetic misregulation, providing new insights into missing heritability of complex psychiatric diseases, referring to the discrepancy between epidemiological heritability and the proportion of phenotypic variation explained by DNA sequence difference. In schizophrenia the absence of consistently replicated genetic effects together with evidence for lasting changes in gene expression after environmental exposures suggest a role of epigenetic mechanisms. In this review we will focus on epigenetic modifications as a key mechanism through which environmental factors interact with individual's genetic constitution to affect risk of psychotic conditions throughout life.
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Affiliation(s)
- Ariel Cariaga-Martinez
- Laboratory for Neuroscience of Mental Disorders Elena Pessino, Department of Medicine and Medical Specialties, School of Medicine, Alcalá University Madrid, Spain
| | - Jerónimo Saiz-Ruiz
- Department of Psychiatry, Ramón y Cajal Hospital, IRYCISMadrid, Spain; Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM)Madrid, Spain
| | - Raúl Alelú-Paz
- Laboratory for Neuroscience of Mental Disorders Elena Pessino, Department of Medicine and Medical Specialties, School of Medicine, Alcalá UniversityMadrid, Spain; Department of Psychiatry, Ramón y Cajal Hospital, IRYCISMadrid, Spain
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30
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Huang L, Ohi K, Chang H, Yu H, Wu L, Yue W, Zhang D, Gao L, Li M. A comprehensive meta-analysis of ZNF804A SNPs in the risk of schizophrenia among Asian populations. Am J Med Genet B Neuropsychiatr Genet 2016; 171B:437-46. [PMID: 26866941 DOI: 10.1002/ajmg.b.32425] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/12/2015] [Accepted: 01/26/2016] [Indexed: 11/10/2022]
Abstract
Common variants in ZNF804A increased the risk of schizophrenia (and bipolar disorder), with low effect sizes in Europeans, which is in line with the polygenic nature of the illnesses, and implies that genetic analyses in small samples may not be sufficient to detect stable results. This notion is supported by the inconsistent replications of ZNF804A variations among individual small Asian samples, indicating the absence of definitive conclusions in this population. We collected psychiatric phenotypic and genetic data from Asian genome-wide association (GWA) and individual replication studies, which include up to 13,452 cases, 17,826 healthy controls, and 680 families, that is, the largest-scale study on ZNF804A in Asian populations to date. The European GWAS risk single nucleotide polymorphism (SNP) rs1344706 was nominally associated with schizophrenia in these Asian samples (one-tailed P = 4.26 × 10(-2) , odds ratio [OR] = 1.048), and the association was further strengthened when bipolar disorder data was also included (one-tailed P = 1.85 × 10(-2) , OR = 1.057). Besides, a non-synonymous SNP rs1366842 in the exon 4 of ZNF804A was also associated with schizophrenia (P = 9.96 × 10(-3) , OR = 1.095). We additionally analyzed other 163 SNPs covering ZNF804A region, but none of them showed any evidence of association. Though the two SNPs did not remain significant if we applied multiple corrections, our analysis should be interpreted as a primary replication study with in prior hypothesis, and rs1344706 and rs1366842 might confer a small but detectable risk of schizophrenia (and bipolar disorder) in Asians. Moreover, the current data suggest the necessity of replication analyses in a large enough scale samples.
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Affiliation(s)
- Liang Huang
- First Affiliated Hospital of Gannan Medical University, Ganzhou, Jiangxi, China
| | - Kazutaka Ohi
- Department of Neuropsychiatry, Kanazawa Medical University, Ishikawa, Japan
| | - Hong Chang
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences and Yunnan Province, Kunming Institute of Zoology, Kunming, Yunnan, China
| | - Hao Yu
- Institute of Mental Health, Peking University, Beijing, China.,Ministry of Health Key Laboratory of Mental Health, Peking University, Beijing, China
| | - Lichuan Wu
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences and Yunnan Province, Kunming Institute of Zoology, Kunming, Yunnan, China
| | - Weihua Yue
- Institute of Mental Health, Peking University, Beijing, China.,Ministry of Health Key Laboratory of Mental Health, Peking University, Beijing, China
| | - Dai Zhang
- Institute of Mental Health, Peking University, Beijing, China.,Ministry of Health Key Laboratory of Mental Health, Peking University, Beijing, China
| | - Lei Gao
- Shandong Provincial Research Center for Bioinformatic Engineering and Technique, School of Life Science, Shandong University of Technology, Zibo, China
| | - Ming Li
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences and Yunnan Province, Kunming Institute of Zoology, Kunming, Yunnan, China
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31
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Wang J, Zhao S, Shugart YY, Zhou Z, Jin C, Yuan J, Wang G, Wang D, Cheng Z, Zhang F. No association between ZNF804A rs1344706 and schizophrenia in a case-control study of Han Chinese. Neurosci Lett 2016; 618:14-18. [DOI: 10.1016/j.neulet.2016.02.048] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2015] [Revised: 02/17/2016] [Accepted: 02/25/2016] [Indexed: 01/21/2023]
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32
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Potential involvement of the interleukin-18 pathway in schizophrenia. J Psychiatr Res 2016; 74:10-6. [PMID: 26736035 DOI: 10.1016/j.jpsychires.2015.12.013] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/28/2015] [Revised: 12/09/2015] [Accepted: 12/11/2015] [Indexed: 01/17/2023]
Abstract
OBJECTIVE Accumulating evidence implicates inflammatory cytokines in the development of psychiatric disorders, including schizophrenia (SZ). IL-18 is one of cytokines that plays a crucial role in immune response and neurodevelopment. We aimed to investigate potential genetic alterations of the cytokine system underpinning SZ. METHODS We tested the association of genetic variants within the cytokine-cytokine receptor interaction (CCRI) pathway with SZ, using GWAS-derived data involving 768 adult SZ patients and 1348 controls, and replicated the association of IL18R1 rs1035130 with SZ in an independent sample of 1957 adult patients and 1509 controls. We compared expression levels of IL18, IL18R1 and IL18RAP in peripheral blood of a cohort of adolescent participants (<18 years), including 14 early-onset SZ patients and 13 healthy controls. Furthermore, we carried out a cis-eQTL (expression Quantitative Trait Loci) and a cis-mQTL (Methylation Quantitative Trait Loci) analysis for IL18R1 rs1035130. RESULTS In the discovery stage, we detected association signals within two IL18 pathway genes, IL18R1 and IL18RAP, with the most significant marker being IL18R1 rs1035130 (P = 1.84E-7, OR = 0.70). In the validation stage, we found rs1035130 was associated with SZ (P = 0.028, OR = 0.89). Expressions of IL18 and IL18R1 were altered in blood of SZ patients compared with 13 controls. Furthermore, cis-QTL analyses indicated that rs1035130 was associated with an eQTL and 5 mQTLs. CONCLUSION Our findings suggest the alteration of IL18 pathway may contribute to the psychopathology of SZ.
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33
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Liu C, Saffen D, Schulze TG, Burmeister M, Sham PC, Yao YG, Kuo PH, Chen C, An Y, Dai J, Yue W, Li MX, Xue H, Su B, Chen L, Shi Y, Qiao M, Liu T, Xia K, Chan RCK. Psychiatric genetics in China: achievements and challenges. Mol Psychiatry 2016; 21:4-9. [PMID: 26481319 PMCID: PMC4830695 DOI: 10.1038/mp.2015.95] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/30/2022]
Abstract
To coordinate research efforts in psychiatric genetics in China, a group of Chinese and foreign investigators have established an annual “Summit on Chinese Psychiatric Genetics” to present their latest research and discuss the current state and future directions of this field. To date, two Summits have been held, the first in Changsha in April, 2014, and the second in Kunming in April, 2015. The consensus of roundtable discussions held at these meetings is that psychiatric genetics in China is in need of new policies to promote collaborations aimed at creating a framework for genetic research appropriate for the Chinese population: relying solely on Caucasian population-based studies may result in missed opportunities to diagnose and treat psychiatric disorders. In addition, participants agree on the importance of promoting collaborations and data sharing in areas where China has especially strong resources, such as advanced facilities for non-human primate studies and traditional Chinese medicine: areas that may also provide overseas investigators with unique research opportunities. In this paper, we present an overview of the current state of psychiatric genetics research in China, with emphasis on genome-level studies, and describe challenges and opportunities for future advances, particularly at the dawn of “precision medicine.” Together, we call on administrative bodies, funding agencies, the research community, and the public at large for increased support for research on the genetic basis of psychiatric disorders in the Chinese population. In our opinion, increased public awareness and effective collaborative research hold the keys to the future of psychiatric genetics in China.
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Affiliation(s)
- Chunyu Liu
- State Key Laboratory of Medical Genetics of China, Central South University, Changsha, China
- Department of Psychiatry, University of Illinois at Chicago, Chicago, United States of America
| | - David Saffen
- Depatement of Cellular and Genetic Medicine, Fudan University, Shanghai, China
| | - Thomas G Schulze
- Department of Psychiatry and Psychotherapy, University Medical Center, Georg-August-Universität, Göttingen, Germany
- Institute of Psychiatric Phenomics and Genomics, Ludwig Maximilians-University, Munich, Germany
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, Maryland, United States of America
- Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health Mannheim, University Medical Center Mannheim, University of Heidelberg, Mannheim, Germany
| | - Margit Burmeister
- Molecular and Behavioral Neuroscience Institute, Departments of Psychiatry, Human Genetics and Computational Medicine & Bioinformatics, University of Michigan, Ann Arbor, Michigan, United States of America
- Bio-X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders (Ministry of Education), Shanghai Jiao Tong University, Shanghai, China
| | - Pak Chung Sham
- Department of Psychiatry, University of Hong Kong, Pokfulam, Hong Kong
| | - Yong-Gang Yao
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences & Yunnan Province, Kunming Institute of Zoology, Kunming, China
| | - Po-Hsiu Kuo
- Department of Public Health and Institute of Epidemiology and Preventive Medicine, College of Public Health, National Taiwan University, Taipei, Taiwan
| | - Chao Chen
- State Key Laboratory of Medical Genetics of China, Central South University, Changsha, China
| | - Yu An
- Institute of Biomedical Sciences and MOE Key Laboratory of Contemporary Anthropology, Fudan University, Shanghai, China
| | - Jiapei Dai
- Wuhan Institute for Neuroscience and Neuroengineering, South-Central University for Nationalities, Wuhan, China
| | - Weihua Yue
- Key Laboratory of Mental Health, Ministry of Health, Institute of Mental Health, The Sixth Hospital, Peking University, Beijing, China
| | - Miao Xin Li
- Department of Psychiatry, University of Hong Kong, Pokfulam, Hong Kong
| | - Hong Xue
- Division of Life Science and Applied Genomics Center, The Hong Kong University of Science & Technology, Hong Kong, China
| | - Bing Su
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology and Kunming Primate Research Centre, Chinese Academy of Sciences, Kunming, Yunnan, China
| | - Li Chen
- Depatement of Cellular and Genetic Medicine, Fudan University, Shanghai, China
| | - Yongyong Shi
- Bio-X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders (Ministry of Education), Shanghai Jiao Tong University, Shanghai, China
| | - Mingqi Qiao
- Institute of Traditional Chinese Medicine theory, School of Basic Medicine, Shandong University of Traditional Chinese Medicine, Jinan 250014, China
| | - Tiebang Liu
- Shenzhen Kang Ning Hospital, No.1080, Cuizhu Street, Luohu District, Shenzhen, Guangdong, 518020, China
| | - Kun Xia
- State Key Laboratory of Medical Genetics of China, Central South University, Changsha, China
- School of Life Sciences, Central South University, Changsha, China
| | - Raymond C K Chan
- Neuropsychology and Applied Cognitive Neuroscience Laboratory, Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences
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Lee J, Takeuchi H, Fervaha G, Sin GL, Foussias G, Agid O, Farooq S, Remington G. Subtyping Schizophrenia by Treatment Response: Antipsychotic Development and the Central Role of Positive Symptoms. CANADIAN JOURNAL OF PSYCHIATRY. REVUE CANADIENNE DE PSYCHIATRIE 2015; 60:515-22. [PMID: 26720509 PMCID: PMC4679132 DOI: 10.1177/070674371506001107] [Citation(s) in RCA: 27] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/01/2014] [Accepted: 12/01/2014] [Indexed: 01/13/2023]
Abstract
We have recently proposed a model for subtyping schizophrenia based on antipsychotic (AP) treatment response. Evidence suggests that APs, both old and new, are comparable in terms of efficacy; however, one AP, clozapine, is uniquely effective in one subgroup of patients (that is, those with treatment-resistant schizophrenia [TRS]). This permits us to subdivide schizophrenia into 3 specific groups: AP responsive, clozapine responsive, and clozapine resistant. Here, we integrate this model with current criteria related to TRS and ultraresistant schizophrenia, the latter referred to in our model as clozapine resistant. We suggest several modifications to existing criteria, in line with current evidence and practice patterns, particularly emphasizing the need to focus on positive symptoms. While APs can favourably impact numerous dimensions related to schizophrenia, it is their effect on positive symptoms that distinguishes them from other psychotropics. Further, it is positive symptoms that are central to AP and clozapine resistance, and it is these people that place the greatest demands on acute and long-term inpatient resources. In moving AP development forward, we advocate specifically focusing on positive symptoms and capitalizing on the evidence we have of 3 subtypes of psychosis (that is, positive symptoms) based on treatment response, implicating 3 distinguishable forms of underlying pathophysiology. Conversely, pooling these groups risks obfuscating potentially identifiable differences. Such a position does not challenge the importance of dopamine D2 receptor blockade, but rather highlights the need to better isolate those other subgroups that require something more or entirely different.
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Affiliation(s)
- Jimmy Lee
- Consultant, Department of General Psychiatry, Institute of Mental Health, Singapore, Singapore; Assistant Professor, Office of Clinical Sciences, Duke-National University of Singapore Graduate Medical School, Singapore, Singapore; Clinical Fellow, Schizophrenia Division, Centre for Addiction and Mental Health, Toronto, Ontario
| | - Hiroyoshi Takeuchi
- Postdoctoral Fellow, Schizophrenia Division, Centre for Addiction and Mental Health, Toronto, Ontario; Collaborative Researcher, Department of Neuropsychiatry, School of Medicine, Keio University, Tokyo, Japan
| | - Gagan Fervaha
- Student, Schizophrenia Division, Centre for Addiction and Mental Health, Toronto, Ontario; Student, Institute of Medical Science, University of Toronto, Toronto, Ontario
| | - Gwen Li Sin
- Consultant, Department of Psychiatry, Singapore General Hospital, Singapore, Singapore
| | - George Foussias
- Staff Psychiatrist, Schizophrenia Division, Centre for Addiction and Mental Health, Toronto, Ontario; Assistant Professor, Department of Psychiatry, University of Toronto, Toronto, Ontario
| | - Ofer Agid
- Staff Psychiatrist, Schizophrenia Division, Centre for Addiction and Mental Health, Toronto, Ontario; Assistant Professor, Department of Psychiatry, University of Toronto, Toronto, Ontario
| | - Saeed Farooq
- Professor, Department of Psychiatry, Postgraduate Medical Institute, Lady Reading Hospital, Peshawar, Pakistan; Visiting Professor, Centre for Ageing and Mental Health, Staffordshire University, Staffordshire, England
| | - Gary Remington
- Lead, Subspecialty Clinics, Schizophrenia Division, Centre for Addiction and Mental Health, Toronto, Ontario; Professor, Department of Psychiatry, University of Toronto, Toronto, Ontario
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35
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Levran O, Peles E, Randesi M, Correa da Rosa J, Ott J, Rotrosen J, Adelson M, Kreek MJ. Synaptic Plasticity and Signal Transduction Gene Polymorphisms and Vulnerability to Drug Addictions in Populations of European or African Ancestry. CNS Neurosci Ther 2015; 21:898-904. [PMID: 26384852 DOI: 10.1111/cns.12450] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/08/2015] [Revised: 08/01/2015] [Accepted: 08/14/2015] [Indexed: 12/23/2022] Open
Abstract
AIM Drug addiction is characterized, in part, by deregulation of synaptic plasticity in circuits involved in reward, stress, cue learning, and memory. This study was designed to assess whether 185 variants in 32 genes central to synaptic plasticity and signal transduction contribute to vulnerability to develop heroin and/or cocaine addiction. METHODS Analyses were conducted in a sample of 1860 subjects divided according to ancestry (African and European) and drug of abuse (heroin or cocaine). RESULTS Eighteen SNPs in 11 genes (CDK5R1, EPHA4, EPHA6, FOSL2, MAPK3, MBP, MPDZ, NFKB1, NTRK2, NTSR1, and PRKCE) showed significant associations (P < 0.01), but the signals did not survive correction for multiple testing. SNP rs230530 in the NFKB1 gene, encoding the transcription regulator NF-kappa-B, was the only SNP indicated in both ancestry groups and both addictions. This SNP was previously identified in association with alcohol addiction. SNP rs3915568 in NTSR1, which encodes neurotensin receptor, and SNP rs1389752 in MPDZ, which encodes the multiple PDZ domain protein, were previously associated with heroin addiction or alcohol addiction, respectively. CONCLUSIONS The study supports the involvement of genetic variation in signal transduction pathways in heroin and cocaine addiction and provides preliminary evidence suggesting several new risk or protective loci that may be relevant for diagnosis and treatment success.
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Affiliation(s)
- Orna Levran
- The Laboratory of the Biology of Addictive Diseases, The Rockefeller University, New York, NY, USA
| | - Einat Peles
- Dr. Miriam and Sheldon G. Adelson Clinic for Drug Abuse Treatment and Research, Tel Aviv Elias Sourasky Medical Center, Tel Aviv, Israel.,Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
| | - Matthew Randesi
- The Laboratory of the Biology of Addictive Diseases, The Rockefeller University, New York, NY, USA
| | - Joel Correa da Rosa
- Center for Clinical and Translational Science, The Rockefeller University, New York, NY, USA
| | - Jurg Ott
- Institute of Psychology, Chinese Academy of Sciences, Beijing, China.,The Laboratory of Statistical Genetics, The Rockefeller University, New York, NY, USA
| | - John Rotrosen
- VA New York Harbor Healthcare System, NYU School of Medicine, New York, NY, USA
| | - Miriam Adelson
- The Laboratory of the Biology of Addictive Diseases, The Rockefeller University, New York, NY, USA.,Dr. Miriam and Sheldon G. Adelson Clinic for Drug Abuse Treatment and Research, Tel Aviv Elias Sourasky Medical Center, Tel Aviv, Israel.,Dr. Miriam and Sheldon G. Adelson Clinic for Drug Abuse Treatment and Research, Las Vegas, NV, USA
| | - Mary Jeanne Kreek
- The Laboratory of the Biology of Addictive Diseases, The Rockefeller University, New York, NY, USA
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36
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Chen X, Long F, Cai B, Chen X, Chen G. A novel relationship for schizophrenia, bipolar and major depressive disorder Part 7: A hint from chromosome 7 high density association screen. Behav Brain Res 2015; 293:241-51. [PMID: 26192912 DOI: 10.1016/j.bbr.2015.06.043] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2015] [Revised: 06/25/2015] [Accepted: 06/25/2015] [Indexed: 11/18/2022]
Abstract
Convergent evidence from genetics, symptology and psychopharmacology imply that there are intrinsic connection between schizophrenia (SCZ), bipolar disorder (BPD) and major depressive disorder (MDD). Also, any two or even three of these disorders could co-existe in some families. A total of 47,144 single nucleotide polymorphism (SNPs) on chromosome 7 were genotyped by Affymetrix Genome-Wide Human SNP array 6.0 on 119 SCZ, 253 BPD (type-I), 177 MDD, and 1000 controls. Associated SNP loci were comprehensively revealed and outstanding susceptibility genes were identified including CNTNAP2. a neurexin family gene. Unexpectedly, flanking genes for up to 94.74 % of of the associated SNPs were replicated (P≤9.9 E-8) in an enlarged cohort of 986 SCZ patients. Considering other convergent evidence, our results further implicate that BPD and MDD are subtypes of SCZ.
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Affiliation(s)
- Xing Chen
- Department of Medical Genetics, Institute of Basic Medicine, Shandong Academy of Medical Sciences, 18877 Jingshi Road, Jinan 250062, Shandong, People's Republic of China
| | - Feng Long
- Department of Medical Genetics, Institute of Basic Medicine, Shandong Academy of Medical Sciences, 18877 Jingshi Road, Jinan 250062, Shandong, People's Republic of China
| | - Bin Cai
- CapitalBio corporation, 18 Life Science Parkway, Changping District, Beijing 102206, People's Republic of China
| | - Xiaohong Chen
- CapitalBio corporation, 18 Life Science Parkway, Changping District, Beijing 102206, People's Republic of China
| | - Gang Chen
- Department of Medical Genetics, Institute of Basic Medicine, Shandong Academy of Medical Sciences, 18877 Jingshi Road, Jinan 250062, Shandong, People's Republic of China.
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37
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Sun Y, Hu D, Liang J, Bao YP, Meng SQ, Lu L, Shi J. Association between variants of zinc finger genes and psychiatric disorders: systematic review and meta-analysis. Schizophr Res 2015; 162:124-37. [PMID: 25667193 DOI: 10.1016/j.schres.2015.01.036] [Citation(s) in RCA: 36] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/19/2014] [Revised: 01/20/2015] [Accepted: 01/21/2015] [Indexed: 12/21/2022]
Abstract
Psychiatric disorders have a negative impact on society and human lives. Genetic factors are involved in the occurrence and development of psychiatric diseases. ZNF804A has been identified as one of the most compelling risk genes associated with broad phenotypes related to psychosis. We conducted a systematic meta-analysis and reviewed ZNF804A variants in psychosis-related disorders, including schizophrenia, bipolar disorder, and attention-deficit hyperactivity disorder. We also summarized the association between other zinc finger protein genes (ZNFs) and psychiatric diseases. The meta-analysis included a total of six variants of ZNF804A and three variants of other ZNFs (ZDHHC8 and ZKSCAN4), and the effects of ZNF variants on neurocognition and neuroimaging phenotypes were reviewed. The biological functions of these variants are also presented. We verified that ZNF804A was significantly related to psychiatric diseases, and the association between ZNF804A rs1344706 and psychosis (schizophrenia and bipolar disorder) did not vary with disease or ethnicity. The main brain area regulated by ZNF804A rs1344706 was the dorsolateral prefrontal cortex. The effect of ZNF804A variants on cognition did not display consistency with different diseases or methodologies. These findings suggest that ZNF804A might play an important role in common pathogenesis of psychiatric diseases, and its variants are likely involved in regulating the expression of psychosis-related genes, especially the dopamine pathway genes. Further research should focus on the molecular mechanisms by which ZNF804A variants act in psychiatric diseases and related phenotypes.
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Affiliation(s)
- Yan Sun
- National Institute on Drug Dependence, Beijing 100191, China; Beijing Key Laboratory on Drug Dependence Research, Beijing 100191, China
| | - Die Hu
- National Institute on Drug Dependence, Beijing 100191, China; Beijing Key Laboratory on Drug Dependence Research, Beijing 100191, China
| | - Jie Liang
- National Institute on Drug Dependence, Beijing 100191, China; Beijing Key Laboratory on Drug Dependence Research, Beijing 100191, China
| | - Yan-Ping Bao
- National Institute on Drug Dependence, Beijing 100191, China; Beijing Key Laboratory on Drug Dependence Research, Beijing 100191, China
| | - Shi-Qiu Meng
- National Institute on Drug Dependence, Beijing 100191, China; Institute of Mental Health/Peking University Sixth Hospital and Key Laboratory of Mental Health, Peking University, Beijing 100191, China; Peking-Tsinghua Center for Life Sciences and PKU-IDG/McGovern Institute for Brain Research, Peking University, Beijing 100871, China; Beijing Key Laboratory on Drug Dependence Research, Beijing 100191, China
| | - Lin Lu
- National Institute on Drug Dependence, Beijing 100191, China; Institute of Mental Health/Peking University Sixth Hospital and Key Laboratory of Mental Health, Peking University, Beijing 100191, China; Peking-Tsinghua Center for Life Sciences and PKU-IDG/McGovern Institute for Brain Research, Peking University, Beijing 100871, China; Beijing Key Laboratory on Drug Dependence Research, Beijing 100191, China
| | - Jie Shi
- National Institute on Drug Dependence, Beijing 100191, China; Beijing Key Laboratory on Drug Dependence Research, Beijing 100191, China; The State Key Laboratory of Natural and Biomimetic Drugs, Beijing 100191, China; Key Laboratory for Neuroscience of the Ministry of Education and the Ministry of Public Health, Beijing 100191, China.
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Mas S, Gassó P, Parellada E, Bernardo M, Lafuente A. Network analysis of gene expression in peripheral blood identifies mTOR and NF-κB pathways involved in antipsychotic-induced extrapyramidal symptoms. THE PHARMACOGENOMICS JOURNAL 2015; 15:452-60. [PMID: 25623440 DOI: 10.1038/tpj.2014.84] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/09/2014] [Revised: 09/22/2014] [Accepted: 11/05/2014] [Indexed: 02/06/2023]
Abstract
To identify the candidate genes for pharmacogenetic studies of antipsychotic (AP)-induced extrapyramidal symptoms (EPS), we propose a systems biology analytical approach, based on protein-protein interaction network construction and functional annotation analysis, of changes in gene expression (Human Genome U219 Array Plate) induced by treatment with risperidone or paliperidone in peripheral blood. 12 AP-naïve patients with first-episode psychosis participated in the present study. Our analysis revealed that, in response to AP treatment, constructed networks were enriched for different biological processes in patients without EPS (ubiquitination, protein folding and adenosine triphosphate (ATP) metabolism) compared with those presenting EPS (insulin receptor signaling, lipid modification, regulation of autophagy and immune response). Moreover, the observed differences also involved specific pathways, such as anaphase promoting complex /cdc20, prefoldin/CCT/triC and ATP synthesis in no-EPS patients, and mammalian target of rapamycin and NF-κB kinases in patients with EPS. Our results showing different patterns of gene expression in EPS patients, offer new and valuable markers for pharmacogenetic studies.
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Affiliation(s)
- S Mas
- Department Pathological Anatomy, Pharmacology and Microbiology, University of Barcelona, Barcelona, Spain.,Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain.,Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Barcelona, Spain
| | - P Gassó
- Department Pathological Anatomy, Pharmacology and Microbiology, University of Barcelona, Barcelona, Spain.,Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain
| | - E Parellada
- Department Pathological Anatomy, Pharmacology and Microbiology, University of Barcelona, Barcelona, Spain.,Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain.,Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Barcelona, Spain.,Clinic Schizophrenia program, Psychiatry service, Hospital Clínic de Barcelona, Barcelona, Spain
| | - M Bernardo
- Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain.,Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Barcelona, Spain.,Clinic Schizophrenia program, Psychiatry service, Hospital Clínic de Barcelona, Barcelona, Spain.,Department Psychiatry and Clinical Psychobiology, University of Barcelona, Barcelona, Spain
| | - A Lafuente
- Department Pathological Anatomy, Pharmacology and Microbiology, University of Barcelona, Barcelona, Spain.,Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain.,Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Barcelona, Spain
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39
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Zhu M, Liu T, Zhang J, Jia S, Tang W, Luo Y. Association between rs1344706 of ZNF804A and schizophrenia: a meta-analysis. GENOMICS PROTEOMICS & BIOINFORMATICS 2014; 12:292-6. [PMID: 25526981 PMCID: PMC4411477 DOI: 10.1016/j.gpb.2014.10.005] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/02/2014] [Revised: 10/21/2014] [Accepted: 10/24/2014] [Indexed: 12/21/2022]
Abstract
Schizophrenia is one of the most serious mental diseases found in humans. Previous studies indicated that the single nucleotide polymorphism (SNP) rs1344706 in the gene ZNF804A encoding zinc finger protein 804A was associated with schizophrenia in Caucasian population but not in Chinese Han population. However, current results are conflicting in Asian population. In the present study, a meta-analysis was performed to revisit the association between rs1344706 and the risk of schizophrenia in Asian, Caucasian and other populations. Electronic search of PubMed database identified 25 case–control studies with available genotype frequencies of rs1344706 for the meta-analysis, involving a total of 15,788 cases and 22,654 controls. A pooled odds ratio (OR) with 95% confidence interval (CI) was used to assess the association. The current meta-analysis showed an association between rs1344706 and schizophrenia in Caucasian populations (P = 0.028, OR = 1.138, 95% CI: 1.014–1.278; P = 0.004 for heterogeneity) and Asian populations (P = 0.008, OR = 1.092, 95% CI: 1.023–1.165; P = 0.001 for heterogeneity), but not in other populations (P = 0.286, OR = 1.209, 95% CI: 0.853–1.714, P = 0.120 for heterogeneity). Egger’s test (P > 0.05) and Begg’s test (P > 0.05) are both suggestive of the lack of publication bias for the included studies. Thus, the absence of association in other populations suggests a genetic heterogeneity in the susceptibility of schizophrenia and demonstrates the difficulties in replicating genome-wide association study findings regarding schizophrenia across different ethnic populations. To validate the association between rs1344706 and schizophrenia, further studies with larger participant populations worldwide are needed.
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Affiliation(s)
- Meiyan Zhu
- Lab of Molecular Genetics of Aging & Tumor, Medical Faculty, Kunming University of Science and Technology, Kunming 650500, China
| | - Tongyang Liu
- Lab of Molecular Genetics of Aging & Tumor, Medical Faculty, Kunming University of Science and Technology, Kunming 650500, China
| | - Jihong Zhang
- Lab of Molecular Genetics of Aging & Tumor, Medical Faculty, Kunming University of Science and Technology, Kunming 650500, China
| | - Shuting Jia
- Lab of Molecular Genetics of Aging & Tumor, Medical Faculty, Kunming University of Science and Technology, Kunming 650500, China
| | - Wenru Tang
- Lab of Molecular Genetics of Aging & Tumor, Medical Faculty, Kunming University of Science and Technology, Kunming 650500, China.
| | - Ying Luo
- Lab of Molecular Genetics of Aging & Tumor, Medical Faculty, Kunming University of Science and Technology, Kunming 650500, China.
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40
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Bramon E, Pirinen M, Strange A, Lin K, Freeman C, Bellenguez C, Su Z, Band G, Pearson R, Vukcevic D, Langford C, Deloukas P, Hunt S, Gray E, Dronov S, Potter SC, Tashakkori-Ghanbaria A, Edkins S, Bumpstead SJ, Arranz MJ, Bakker S, Bender S, Bruggeman R, Cahn W, Chandler D, Collier DA, Crespo-Facorro B, Dazzan P, de Haan L, Di Forti M, Dragović M, Giegling I, Hall J, Iyegbe C, Jablensky A, Kahn RS, Kalaydjieva L, Kravariti E, Lawrie S, Linszen DH, Mata I, McDonald C, McIntosh A, Myin-Germeys I, Ophoff RA, Pariante CM, Paunio T, Picchioni M, Ripke S, Rujescu D, Sauer H, Shaikh M, Sussmann J, Suvisaari J, Tosato S, Toulopoulou T, Van Os J, Walshe M, Weisbrod M, Whalley H, Wiersma D, Blackwell JM, Brown MA, Casas JP, Corvin A, Duncanson A, Jankowski JAZ, Markus HS, Mathew CG, Palmer CNA, Plomin R, Rautanen A, Sawcer SJ, Trembath RC, Wood NW, Barroso I, Peltonen L, Lewis CM, Murray RM, Donnelly P, Powell J, Spencer CCA. A genome-wide association analysis of a broad psychosis phenotype identifies three loci for further investigation. Biol Psychiatry 2014; 75:386-97. [PMID: 23871474 PMCID: PMC3923972 DOI: 10.1016/j.biopsych.2013.03.033] [Citation(s) in RCA: 41] [Impact Index Per Article: 4.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/23/2012] [Revised: 03/27/2013] [Accepted: 03/30/2013] [Indexed: 12/17/2022]
Abstract
BACKGROUND Genome-wide association studies (GWAS) have identified several loci associated with schizophrenia and/or bipolar disorder. We performed a GWAS of psychosis as a broad syndrome rather than within specific diagnostic categories. METHODS 1239 cases with schizophrenia, schizoaffective disorder, or psychotic bipolar disorder; 857 of their unaffected relatives, and 2739 healthy controls were genotyped with the Affymetrix 6.0 single nucleotide polymorphism (SNP) array. Analyses of 695,193 SNPs were conducted using UNPHASED, which combines information across families and unrelated individuals. We attempted to replicate signals found in 23 genomic regions using existing data on nonoverlapping samples from the Psychiatric GWAS Consortium and Schizophrenia-GENE-plus cohorts (10,352 schizophrenia patients and 24,474 controls). RESULTS No individual SNP showed compelling evidence for association with psychosis in our data. However, we observed a trend for association with same risk alleles at loci previously associated with schizophrenia (one-sided p = .003). A polygenic score analysis found that the Psychiatric GWAS Consortium's panel of SNPs associated with schizophrenia significantly predicted disease status in our sample (p = 5 × 10(-14)) and explained approximately 2% of the phenotypic variance. CONCLUSIONS Although narrowly defined phenotypes have their advantages, we believe new loci may also be discovered through meta-analysis across broad phenotypes. The novel statistical methodology we introduced to model effect size heterogeneity between studies should help future GWAS that combine association evidence from related phenotypes. Applying these approaches, we highlight three loci that warrant further investigation. We found that SNPs conveying risk for schizophrenia are also predictive of disease status in our data.
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41
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Yu H, Bi W, Liu C, Zhao Y, Zhang JF, Zhang D, Yue W. Protein-interaction-network-based analysis for genome-wide association analysis of schizophrenia in Han Chinese population. J Psychiatr Res 2014; 50:73-8. [PMID: 24365204 DOI: 10.1016/j.jpsychires.2013.11.014] [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: 06/25/2013] [Revised: 11/10/2013] [Accepted: 11/27/2013] [Indexed: 01/26/2023]
Abstract
Schizophrenia is a severe neuropsychiatric disorder with a strong and complex genetic background. Recent genome-wide association studies (GWAS) have successfully identified several susceptibility loci of schizophrenia. In order to interpret the functional role of the genetic variants and detect the combined effects of some of these genes on schizophrenia, protein-interaction-network-based analysis (PINBA) has emerged as an effective approach. In the current study, we conducted a PINBA of our previous GWAS data taken from the Han Chinese population. In order to do so, we used dense module search (DMS), a method that locates densely connected modules for complex diseases by integrating the association signal from GWAS datasets into the human protein-protein interaction (PPI) network. As a result, we identified one gene set with a joint effect significantly associated with schizophrenia and gene expression profiling analysis suggested that they were mainly neuro- and immune-related genes, such as glutamatergic gene (GRM5), GABAergic genes (GABRB1, GABARAP) and genes located in the MHC region (HLA-C, TAP2, HIST1H1B). Further pathway enrichment analysis suggested that these genes are involved in processes related to neuronal and immune systems, such as the Adherens junction pathway, the Neurotrophin signaling pathway and the Toll-like receptor signaling pathway. In our study, we identified a set of susceptibility genes that had been missed in single-marker GWAS, and our findings could promote the study of the genetic mechanisms in schizophrenia.
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Affiliation(s)
- Hao Yu
- Institute of Mental Health, Peking University, 51 Hua Yuan Bei Road, Beijing 100191, China; Key Laboratory of Mental Health, Ministry of Health, Institute of Mental Health, The Sixth Hospital, Peking University, China
| | - Wenjian Bi
- Academy of Mathematics and Systems Science, Chinese Academy of Sciences, Beijing, China
| | - Chenxing Liu
- Institute of Mental Health, Peking University, 51 Hua Yuan Bei Road, Beijing 100191, China; Key Laboratory of Mental Health, Ministry of Health, Institute of Mental Health, The Sixth Hospital, Peking University, China
| | - Yanlong Zhao
- Academy of Mathematics and Systems Science, Chinese Academy of Sciences, Beijing, China
| | - Ji-Feng Zhang
- Academy of Mathematics and Systems Science, Chinese Academy of Sciences, Beijing, China
| | - Dai Zhang
- Institute of Mental Health, Peking University, 51 Hua Yuan Bei Road, Beijing 100191, China; Key Laboratory of Mental Health, Ministry of Health, Institute of Mental Health, The Sixth Hospital, Peking University, China; Peking-Tsinghua Center for Life Sciences, Beijing, PR China; PKU-IDG/McGovern Institute for Brain Research, Peking University, Beijing, China.
| | - Weihua Yue
- Institute of Mental Health, Peking University, 51 Hua Yuan Bei Road, Beijing 100191, China; Key Laboratory of Mental Health, Ministry of Health, Institute of Mental Health, The Sixth Hospital, Peking University, China.
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42
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Tsermpini EE, Assimakopoulos K, Bartsakoulia M, Iconomou G, Papadima EM, Mitropoulos K, Squassina A, Patrinos GP. Individualizing clozapine and risperidone treatment for schizophrenia patients. Pharmacogenomics 2014; 15:95-110. [DOI: 10.2217/pgs.13.219] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/12/2023] Open
Abstract
Schizophrenia is a severe disorder that significantly affects the quality of life and total functioning of patients and their caregivers. Clozapine is the first atypical antipsychotic with fewer adverse effects and established efficacy. As a rule of thumb, risperidone is one of the most reliable and effective antipsychotics for newly diagnosed and chronic schizophrenics. Pharmacogenetic studies have identified genomic variants of candidate genes that seem to be important in the way a patient responds to treatment. The recent progress made in pharmacogenomics will improve the quality of treatment, since drug doses will be tailored to the special needs of each patient. In this article, we review the available literature attempting to delineate the role of genomic variations in clozapine and risperidone response in schizophrenic patients of various ethnicities. We conclude that pharmacogenomics for these two drugs is still not ready for implementation in the clinic.
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Affiliation(s)
- Evangelia Eirini Tsermpini
- University of Patras School of Health Sciences, Department of Pharmacy, University Campus, Rion, GR-26504, Patras, Greece
| | | | - Marina Bartsakoulia
- University of Patras School of Health Sciences, Department of Pharmacy, University Campus, Rion, GR-26504, Patras, Greece
| | - Gregoris Iconomou
- University of Patras School of Medicine, Department of Psychiatry, Rion, Patras, Greece
| | - Eleni Merkouri Papadima
- University of Patras School of Health Sciences, Department of Pharmacy, University Campus, Rion, GR-26504, Patras, Greece
| | | | - Alessio Squassina
- University of Cagliari, Department of Biomedical Sciences, Cagliari, Sardinia, Italy
| | - George P Patrinos
- University of Patras School of Health Sciences, Department of Pharmacy, University Campus, Rion, GR-26504, Patras, Greece
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Abstract
PURPOSE OF REVIEW Immunological understanding of neurological and cognitive alterations of schizophrenia has made a significant breakthrough in unfolding the pathophysiological mechanisms of schizophrenia, at least in a group of patients. Such psychoneuroimmunological aberrations essentially argue for an alternative treatment approach based on immunomodulation in schizophrenia. RECENT FINDINGS Recent findings in schizophrenia have shown exaggerated immuno-inflammatory responses due to persistent systemic inflammation and neuroinflammation involving microglia activation. The existing antipsychotic drugs have shown substantial benefits in the control of positive symptoms, but they have not demonstrated adequate immuno-dampening effects specifically and effectively. However, a group of emerging nonsteroidal as well as other anti-inflammatory drugs currently being used as an adjunct therapy seem to exhibit increased target specificity and effectiveness in reducing symptom severity to some extent. SUMMARY The anti-inflammatory drugs that have been shown to reduce the levels of pro-inflammatory mediators and inhibit microglia activation have paved the way for better outcomes of schizophrenia treatment. However, many of the currently tested anti-inflammatory drugs often lack methodological robustness. The identification of novel target(s) that will integrate the processes evoked by various risk determinants into a common signalling pathway is urgently required, and this may take immunomodulation into a new therapeutic domain in schizophrenia.
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44
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Bramon E, Pirinen M, Strange A, Lin K, Freeman C, Bellenguez C, Su Z, Band G, Pearson R, Vukcevic D, Langford C, Deloukas P, Hunt S, Gray E, Dronov S, Potter SC, Tashakkori-Ghanbaria A, Edkins S, Bumpstead SJ, Arranz MJ, Bakker S, Bender S, Bruggeman R, Cahn W, Chandler D, Collier DA, Crespo-Facorro B, Dazzan P, de Haan L, Di Forti M, Dragović M, Giegling I, Hall J, Iyegbe C, Jablensky A, Kahn RS, Kalaydjieva L, Kravariti E, Lawrie S, Linszen DH, Mata I, McDonald C, McIntosh A, Myin-Germeys I, Ophoff RA, Pariante CM, Paunio T, Picchioni M, Ripke S, Rujescu D, Sauer H, Shaikh M, Sussmann J, Suvisaari J, Tosato S, Toulopoulou T, Van Os J, Walshe M, Weisbrod M, Whalley H, Wiersma D, Blackwell JM, Brown MA, Casas JP, Corvin A, Duncanson A, Jankowski JAZ, Markus HS, Mathew CG, Palmer CNA, Plomin R, Rautanen A, Sawcer SJ, Trembath RC, Wood NW, Barroso I, Peltonen L, Lewis CM, Murray RM, Donnelly P, Powell J, Spencer CCA. A genome-wide association analysis of a broad psychosis phenotype identifies three loci for further investigation. Biol Psychiatry 2013. [PMID: 23871474 DOI: 10.1016/j.biopsych.2013] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/25/2022]
Abstract
BACKGROUND Genome-wide association studies (GWAS) have identified several loci associated with schizophrenia and/or bipolar disorder. We performed a GWAS of psychosis as a broad syndrome rather than within specific diagnostic categories. METHODS 1239 cases with schizophrenia, schizoaffective disorder, or psychotic bipolar disorder; 857 of their unaffected relatives, and 2739 healthy controls were genotyped with the Affymetrix 6.0 single nucleotide polymorphism (SNP) array. Analyses of 695,193 SNPs were conducted using UNPHASED, which combines information across families and unrelated individuals. We attempted to replicate signals found in 23 genomic regions using existing data on nonoverlapping samples from the Psychiatric GWAS Consortium and Schizophrenia-GENE-plus cohorts (10,352 schizophrenia patients and 24,474 controls). RESULTS No individual SNP showed compelling evidence for association with psychosis in our data. However, we observed a trend for association with same risk alleles at loci previously associated with schizophrenia (one-sided p = .003). A polygenic score analysis found that the Psychiatric GWAS Consortium's panel of SNPs associated with schizophrenia significantly predicted disease status in our sample (p = 5 × 10(-14)) and explained approximately 2% of the phenotypic variance. CONCLUSIONS Although narrowly defined phenotypes have their advantages, we believe new loci may also be discovered through meta-analysis across broad phenotypes. The novel statistical methodology we introduced to model effect size heterogeneity between studies should help future GWAS that combine association evidence from related phenotypes. Applying these approaches, we highlight three loci that warrant further investigation. We found that SNPs conveying risk for schizophrenia are also predictive of disease status in our data.
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45
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Li M, Zhang H, Luo XJ, Gao L, Qi XB, Gourraud PA, Su B. Meta-analysis indicates that the European GWAS-identified risk SNP rs1344706 within ZNF804A is not associated with schizophrenia in Han Chinese population. PLoS One 2013; 8:e65780. [PMID: 23776546 PMCID: PMC3680487 DOI: 10.1371/journal.pone.0065780] [Citation(s) in RCA: 24] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/12/2013] [Accepted: 04/28/2013] [Indexed: 01/13/2023] Open
Abstract
Recent genetic association studies have implicated several candidate susceptibility variants for schizophrenia among general populations. Rs1344706, an intronic SNP within ZNF804A, was identified as one of the most compelling candidate risk SNPs for schizophrenia in Europeans through genome-wide association studies (GWASs) and replications as well as large-scale meta-analyses. However, in Han Chinese, the results for rs1344706 are inconsistent, and whether rs1344706 is an authentic risk SNP for schizophrenia in Han Chinese is inconclusive. Here, we conducted a systematic meta-analysis of rs1344706 with schizophrenia in Chinese population by combining all available case-control samples (N = 12), including a total of 8,982 cases and 12,342 controls. The results of our meta-analysis were not able to confirm an association of rs1344706 A-allele with schizophrenia (p = 0.10, odds ratio = 1.06, 95% confidence interval = 0.99-1.13). Such absence of association was further confirmed by the non-superiority test (p = 0.0003), suggesting that rs1344706 is not a risk SNP for schizophrenia in Han Chinese. Detailed examinations of individual samples revealed potential sampling bias in previous replication studies in Han Chinese. The absence of rs1344706 association in Han Chinese suggest a potential genetic heterogeneity in the susceptibility of schizophrenia on this locus and also demonstrate the difficulties in replicating genome-wide association findings of schizophrenia across different ethnic populations.
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Affiliation(s)
- Ming Li
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan, People's Republic of China
- University of Chinese Academy of Sciences, Beijing, People's Republic of China
| | - Hui Zhang
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan, People's Republic of China
| | - Xiong-jian Luo
- University of Rochester Flaum Eye Institute, University of Rochester, Rochester, New York, United States of America
| | - Lei Gao
- Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences, Beijing, People's Republic of China
- University of Chinese Academy of Sciences, Beijing, People's Republic of China
| | - Xue-bin Qi
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan, People's Republic of China
| | - Pierre-Antoine Gourraud
- Department of Neurology, School of Medicine, University of California San Francisco, San Francisco, California, United States of America
| | - Bing Su
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan, People's Republic of China
- * E-mail:
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Stegger JG, Schmidt EB, Berentzen TL, Tjønneland A, Vogel U, Rimm E, Sørensen TIA, Overvad K, Jensen MK. Interaction between obesity and the NFKB1 - 94ins/delATTG promoter polymorphism in relation to incident acute coronary syndrome: a follow up study in three independent cohorts. PLoS One 2013; 8:e63004. [PMID: 23671649 PMCID: PMC3650017 DOI: 10.1371/journal.pone.0063004] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2012] [Accepted: 03/27/2013] [Indexed: 01/24/2023] Open
Abstract
Introduction The NF-κB transcription factor family regulates several genes encoding pro-inflammatory and anti-inflammatory proteins in adipose tissues and in atherosclerotic plaques. The deletion variant allele of the NFKB1 - 94ins/delATTG promoter polymorphism leads to lower transcript levels of the p50 subunit, and the variant allele has been associated with the risk of several inflammatory diseases as well as coronary heart disease where inflammation is important in the pathogenesis. The objective of this study was to explore the potential interaction between the NFKB1-94ins/delATTG promoter polymorphism and general, abdominal, and gluteofemoral obesity in relation to the risk of incident acute coronary syndrome (ACS) in three large independent cohorts. Methods and Results The analyses were conducted in the Danish prospective study Diet, Cancer and Health and the two US based cohorts; Nurses’ Health Study and Health Professionals Follow-up Study. We conducted sex stratified analyses that included 1202 male and 708 female cases of incident ACS. We observed a positive association for general and abdominal obesity with risk of incident ACS, independent of genotype in both genders. Gluteofemoral obesity was negatively associated with ACS risk in women independent of genotype, whereas there was no clear association for men. We calculated the relative excess risk due to interaction (RERI) and observed a statistically significant excess risk among men jointly exposed to general or abdominal obesity and the variant allele of the NFKB1-94ATTG polymorphism, whereas there was a tendency towards sub-additivity for gluteofemoral obesity. The excess risks in all analyses were, however, small and could not clearly be demonstrated in women. Conclusion The variant allele of the NFKB1-94ins/delATTG promoter polymorphism did not substantially modify the association between obesity and incident ACS.
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Affiliation(s)
- Jakob Gerhard Stegger
- Department of Cardiology, Center for Cardiovascular Research, Aalborg Hospital, Aarhus University Hospital, Aalborg, Denmark.
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DRD1 rs4532 polymorphism: a potential pharmacogenomic marker for treatment response to antipsychotic drugs. Schizophr Res 2012; 142:206-8. [PMID: 23036699 DOI: 10.1016/j.schres.2012.08.003] [Citation(s) in RCA: 29] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/14/2012] [Revised: 08/01/2012] [Accepted: 08/03/2012] [Indexed: 11/20/2022]
Abstract
We investigated the association of dopamine receptor D1 gene (DRD1) rs4532 polymorphism with antipsychotic treatment response in schizophrenia. We have analyzed 124 patients with schizophrenia, consisting of 59 treatment resistant (TR) and 65 non-TR. We found an association between G-allele and TR schizophrenia (p=0.001; adjusted OR=2.71). Setting the common AA-genotype as reference, the GG-homozygous presented a five-fold risk compared to AA-homozygous (p=0.010; OR=5.56) with an intermediate result for AG-genotype (p=0.030; adjusted OR=2.64). The DRD1 rs4532 polymorphism showed a dose-response gradient with increased risk for treatment resistance and may be a potential pharmacogenetic marker for antipsychotic drug treatment response.
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