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Gong NJ, Dibb R, Pletnikov M, Benner E, Liu C. Imaging microstructure with diffusion and susceptibility MR: neuronal density correlation in Disrupted-in-Schizophrenia-1 mutant mice. NMR IN BIOMEDICINE 2020; 33:e4365. [PMID: 32627266 DOI: 10.1002/nbm.4365] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/25/2018] [Revised: 05/23/2020] [Accepted: 06/09/2020] [Indexed: 06/11/2023]
Abstract
PURPOSE To probe cerebral microstructural abnormalities and assess changes of neuronal density in Disrupted-in-Schizophrenia-1 (DISC1) mice using non-Gaussian diffusion and quantitative susceptibility mapping (QSM). MATERIALS AND METHODS Brain specimens of transgenic DISC1 mice (n = 8) and control mice (n = 7) were scanned. Metrics of neurite orientation dispersion and density imaging (NODDI) and diffusion kurtosis imaging (DKI), as well as QSM, were acquired. Cell counting was performed on Nissl-stained sections. Group differences of imaging metrics and cell density were assessed. Pearson correlations between imaging metrics and cell densities were also examined. RESULTS Significant increases of neuronal density were observed in the hippocampus of DISC1 mice. DKI metrics such as mean kurtosis exhibited significant group differences in the caudate putamen (P = 0.015), cerebral cortex (P = 0.021), and hippocampus (P = 0.011). However, DKI metrics did not correlate with cell density. In contrast, significant positive correlation between density of neurons and the neurite density index of NODDI in the hippocampus was observed (r = 0.783, P = 0.007). Significant correlation between density of neurons and susceptibility (r = 0.657, P = 0.039), as well as between density of neuroglia and susceptibility (r = 0.750, P = 0.013), was also observed in the hippocampus. CONCLUSION The imaging metrics derived from DKI were not sensitive specifically to cell density, while NODDI could provide diffusion metrics sensitive to density of neurons. The magnetic susceptibility values derived from the QSM method can serve as a sensitive biomarker for quantifying neuronal density.
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Affiliation(s)
- Nan-Jie Gong
- Electrical Engineering and Computer Sciences, University of California, Berkeley, California, USA
- Shanghai Research Center for Brain Science and Brain-Inspired Intelligence, Shanghai, China
| | - Russell Dibb
- Center for in vivo Microscopy, Duke University School of Medicine, Durham, North Carolina, USA
| | - Mikhail Pletnikov
- Department of Molecular and Comparative Pathobiology, The Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Eric Benner
- Department of Pediatrics, Duke University School of Medicine, Durham, North Carolina, USA
| | - Chunlei Liu
- Electrical Engineering and Computer Sciences, University of California, Berkeley, California, USA
- Helen Wills Neuroscience Institute, University of California, Berkeley, California, USA
- Brain Imaging and Analysis Center, Duke University School of Medicine, Durham, North Carolina, USA
- Radiology, Duke University School of Medicine, Durham, North Carolina, USA
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2
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Ma JH, Sun XY, Guo TJ, Barot E, Wang DF, Yan LL, Ni DW, Huang NH, Xie Q, Zeng J, Ou-Yang L, Liu YQ, Lu QB. Association on DISC1 SNPs with schizophrenia risk: A meta-analysis. Psychiatry Res 2018; 270:306-309. [PMID: 30286368 DOI: 10.1016/j.psychres.2018.09.056] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/05/2018] [Revised: 09/17/2018] [Accepted: 09/22/2018] [Indexed: 01/09/2023]
Abstract
Schizophrenia is a major psychiatric disorder with complex genetic, environmental, and psychological etiologies. Although DISC1 gene has been shown as a risk factor for schizophrenia in some reports, there is a lack of a consensus. We therefore performed separate meta-analyses aiming to assess the associations between DISC1 SNPs and schizophrenia risk. We found that SNP rs821597 is significantly associated with schizophrenia risk in terms of both allelic and genotypic distribution, while SNP rs821616 is associated with schizophrenia in terms of genotypic distribution, especially in cases above 40 years old.
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Affiliation(s)
- Jia-Hui Ma
- Department of Laboratorial Science and Technology, School of Public Health, Peking University, No. 38 Xue-Yuan Road, Haidian District, Beijing 100191, PR China.
| | - Xiao-Yu Sun
- Department of Laboratorial Science and Technology, School of Public Health, Peking University, No. 38 Xue-Yuan Road, Haidian District, Beijing 100191, PR China.
| | - Tong-Jun Guo
- Graduate School of Peking Union Medical College, Beijing 100730, China.
| | - Emily Barot
- Bioinformatics Center, University of Copenhagen, Copenhagen 2200, Denmark.
| | | | - Lai-Lai Yan
- Department of Laboratorial Science and Technology, School of Public Health, Peking University, No. 38 Xue-Yuan Road, Haidian District, Beijing 100191, PR China.
| | - Da-Wei Ni
- Central Hospital of Fengxian, Shanghai 201499, China
| | - Ning-Hua Huang
- Department of Laboratorial Science and Technology, School of Public Health, Peking University, No. 38 Xue-Yuan Road, Haidian District, Beijing 100191, PR China.
| | - Qing Xie
- Department of Laboratorial Science and Technology, School of Public Health, Peking University, No. 38 Xue-Yuan Road, Haidian District, Beijing 100191, PR China.
| | - Jing Zeng
- Department of Laboratorial Science and Technology, School of Public Health, Peking University, No. 38 Xue-Yuan Road, Haidian District, Beijing 100191, PR China.
| | - Li Ou-Yang
- Department of Laboratorial Science and Technology, School of Public Health, Peking University, No. 38 Xue-Yuan Road, Haidian District, Beijing 100191, PR China.
| | - Ya-Qiong Liu
- Department of Laboratorial Science and Technology, School of Public Health, Peking University, No. 38 Xue-Yuan Road, Haidian District, Beijing 100191, PR China.
| | - Qing-Bin Lu
- Department of Laboratorial Science and Technology, School of Public Health, Peking University, No. 38 Xue-Yuan Road, Haidian District, Beijing 100191, PR China.
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3
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Gou N, Liu Z, Palaniyappan L, Li M, Pan Y, Chen X, Tao H, Wu G, Ouyang X, Wang Z, Dou T, Xue Z, Pu W. Effects of DISC1 Polymorphisms on Resting-State Spontaneous Neuronal Activity in the Early-Stage of Schizophrenia. Front Psychiatry 2018; 9:137. [PMID: 29875705 PMCID: PMC5974222 DOI: 10.3389/fpsyt.2018.00137] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/15/2017] [Accepted: 03/29/2018] [Indexed: 12/02/2022] Open
Abstract
Background: Localized abnormalities in the synchrony of spontaneous neuronal activity, measured with regional homogeneity (ReHo), has been consistently reported in patients with schizophrenia (SCZ) and their unaffected siblings. To date, little is known about the genetic influences affecting the spontaneous neuronal activity in SCZ. DISC1, a strong susceptible gene for SCZ, has been implicated in neuronal excitability and synaptic function possibly associated with regional spontaneous neuronal activity. This study aimed to examine the effects of DISC1 variations on the regional spontaneous neuronal activity in SCZ. Methods: Resting-state fMRI data were obtained from 28 SCZ patients and 21 healthy controls (HC) for ReHo analysis. Six single nucleotide polymorphisms (SNPs) of DISC1 gene were genotyped using the PCR and direct sequencing. Results: Significant diagnosis × genotype interactions were noted for three SNPs (rs821616, rs821617, and rs2738880). For rs821617, the interactions were localized to the precuneus, basal ganglia and pre-/post-central regions. Significant interactive effects were identified at the temporal and post-central gyri for rs821616 (Ser704Cys) and the inferior temporal gyrus for rs2738880. Furthermore, post-hoc analysis revealed that the DISC1 variations on these SNPs exerted different influences on ReHo between SCZ patients and HC. Conclusion: To our knowledge this is the first study to unpick the influence of DISC1 variations on spontaneous neuronal activity in SCZ; Given the emerging evidence that ReHo is a stable inheritable phenotype for schizophrenia, our findings suggest the DISC1 variations are possibly an inheritable source for the altered ReHo in this disorder.
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Affiliation(s)
- Ningzhi Gou
- Mental Health Institute, Second Xiangya Hospital, Central South University, Changsha, China
- Key Laboratory of Psychiatry and Mental Health of Hunan Province, The China National Clinical Research Center for Mental Health Disorders, National Technology Institute of Psychiatry, Changsha, China
| | - Zhening Liu
- Mental Health Institute, Second Xiangya Hospital, Central South University, Changsha, China
- Key Laboratory of Psychiatry and Mental Health of Hunan Province, The China National Clinical Research Center for Mental Health Disorders, National Technology Institute of Psychiatry, Changsha, China
| | - Lena Palaniyappan
- Departments of Psychiatry and Medical Biophysics & Robarts and Lawson Research Institutes, University of Western Ontario, London, ON, Canada
| | - Mingding Li
- Zhejiang University School of Medicine, Zhejiang University, Hangzhou, China
| | - Yunzhi Pan
- Mental Health Institute, Second Xiangya Hospital, Central South University, Changsha, China
- Key Laboratory of Psychiatry and Mental Health of Hunan Province, The China National Clinical Research Center for Mental Health Disorders, National Technology Institute of Psychiatry, Changsha, China
| | - Xudong Chen
- Mental Health Institute, Second Xiangya Hospital, Central South University, Changsha, China
- Key Laboratory of Psychiatry and Mental Health of Hunan Province, The China National Clinical Research Center for Mental Health Disorders, National Technology Institute of Psychiatry, Changsha, China
| | - Haojuan Tao
- Mental Health Institute, Second Xiangya Hospital, Central South University, Changsha, China
- Key Laboratory of Psychiatry and Mental Health of Hunan Province, The China National Clinical Research Center for Mental Health Disorders, National Technology Institute of Psychiatry, Changsha, China
| | - Guowei Wu
- Mental Health Institute, Second Xiangya Hospital, Central South University, Changsha, China
- Key Laboratory of Psychiatry and Mental Health of Hunan Province, The China National Clinical Research Center for Mental Health Disorders, National Technology Institute of Psychiatry, Changsha, China
| | - Xuan Ouyang
- Mental Health Institute, Second Xiangya Hospital, Central South University, Changsha, China
- Key Laboratory of Psychiatry and Mental Health of Hunan Province, The China National Clinical Research Center for Mental Health Disorders, National Technology Institute of Psychiatry, Changsha, China
| | - Zheng Wang
- Mental Health Institute, Second Xiangya Hospital, Central South University, Changsha, China
- Key Laboratory of Psychiatry and Mental Health of Hunan Province, The China National Clinical Research Center for Mental Health Disorders, National Technology Institute of Psychiatry, Changsha, China
| | - Taotao Dou
- Department of Neurosurgery, The First affiliated Hospital of Xinjiang Medical University, Urumqi, China
| | - Zhimin Xue
- Mental Health Institute, Second Xiangya Hospital, Central South University, Changsha, China
- Key Laboratory of Psychiatry and Mental Health of Hunan Province, The China National Clinical Research Center for Mental Health Disorders, National Technology Institute of Psychiatry, Changsha, China
| | - Weidan Pu
- Medical Psychological Center, Second Xiangya Hospital, Central South University, Changsha, China
- Medical Psychological Institute of Central South University, Changsha, China
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Janouschek H, Eickhoff CR, Mühleisen TW, Eickhoff SB, Nickl-Jockschat T. Using coordinate-based meta-analyses to explore structural imaging genetics. Brain Struct Funct 2018; 223:3045-3061. [PMID: 29730826 DOI: 10.1007/s00429-018-1670-9] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2017] [Accepted: 04/19/2018] [Indexed: 12/29/2022]
Abstract
Imaging genetics has become a highly popular approach in the field of schizophrenia research. A frequently reported finding is that effects from common genetic variation are associated with a schizophrenia-related structural endophenotype. Genetic contributions to a structural endophenotype may be easier to delineate, when referring to biological rather than diagnostic criteria. We used coordinate-based meta-analyses, namely the anatomical likelihood estimation (ALE) algorithm on 30 schizophrenia-related imaging genetics studies, representing 44 single-nucleotide polymorphisms at 26 gene loci investigated in 4682 subjects. To test whether analyses based on biological information would improve the convergence of results, gene ontology (GO) terms were used to group the findings from the published studies. We did not find any significant results for the main contrast. However, our analysis enrolling studies on genotype × diagnosis interaction yielded two clusters in the left temporal lobe and the medial orbitofrontal cortex. All other subanalyses did not yield any significant results. To gain insight into possible biological relationships between the genes implicated by these clusters, we mapped five of them to GO terms of the category "biological process" (AKT1, CNNM2, DISC1, DTNBP1, VAV3), then five to "cellular component" terms (AKT1, CNNM2, DISC1, DTNBP1, VAV3), and three to "molecular function" terms (AKT1, VAV3, ZNF804A). A subsequent cluster analysis identified representative, non-redundant subsets of semantically similar terms that aided a further interpretation. We regard this approach as a new option to systematically explore the richness of the literature in imaging genetics.
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Affiliation(s)
- Hildegard Janouschek
- Department of Neurology, RWTH Aachen University, Aachen, Germany.,Department of Psychiatry, Iowa Neuroscience Institute, Carver College of Medicine, University of Iowa, Iowa City, IA, USA
| | - Claudia R Eickhoff
- Department of Psychiatry, Psychotherapy and Psychosomatics, RWTH Aachen University, Aachen, Germany.,Institute of Clinical Neuroscience and Medical Psychology, Medical Faculty, Heinrich Heine University, Düsseldorf, Germany.,Institute of Neuroscience and Medicine (Functional Architecture of the Brain; INM-1), Forschungszentrum Jülich GmbH, Jülich, Germany
| | - Thomas W Mühleisen
- Institute of Neuroscience und Medicine (INM-1), Research Centre Jülich, Jülich, Germany.,Department of Biomedicine, University of Basel, Basel, Switzerland
| | - Simon B Eickhoff
- Institute of Systems Neuroscience, Medical Faculty, Heinrich Heine University Düsseldorf, Düsseldorf, Germany.,Institute of Neuroscience and Medicine, Brain & Behaviour (INM-7), Research Centre Jülich, Jülich, Germany
| | - Thomas Nickl-Jockschat
- Department of Psychiatry, Psychotherapy and Psychosomatics, RWTH Aachen University, Aachen, Germany. .,Jülich-Aachen Research Alliance Brain, Jülich/Aachen, Germany. .,Department of Psychiatry, Iowa Neuroscience Institute, Carver College of Medicine, University of Iowa, Iowa City, IA, USA.
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5
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Gene polymorphisms of DISC1 is associated with schizophrenia: Evidence from a meta-analysis. Prog Neuropsychopharmacol Biol Psychiatry 2018; 81:64-73. [PMID: 29031911 DOI: 10.1016/j.pnpbp.2017.10.008] [Citation(s) in RCA: 23] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/07/2016] [Revised: 10/08/2017] [Accepted: 10/08/2017] [Indexed: 01/08/2023]
Abstract
BACKGROUND Previous studies suggest an association between Disrupted in schizophrenia 1 (DISC1) polymorphisms and schizophrenia (SCZ). However, the available data are often inconsistent, regarding the difference in sample size, ethnicity, genotyping method, etc. Thus, we carried out a meta-analysis to determine whether DISC1 polymorphisms contributed susceptibility to SCZ. METHODS A methodical literature review was operated using the English and Chinese core electronic databases. Odds ratios (ORs) with 95% confidence intervals (CIs) were applied to determine the correlation between DISC1 gene polymorphisms and SCZ susceptibility. Subgroup analyses were carried out by stratification of ethnicity. P values were Bonferroni adjusted to account for multiple testing. Publication bias was evaluated by funnel plots, Egger's test and the trim and fill method. RESULTS Meta-analyses results suggested that DISC1 polymorphisms (rs821616 and rs821597) increased SCZ risk in overall populations. In subgroups of ethnicity, DISC1 polymorphisms (rs821616 and rs821597) was associated with susceptibility to SCZ among the Chinese population (for rs821616: TT+AT vs. AA: OR=1.338, 95% CI=1.124-1.592, P=0.001; T vs. A: OR=1.300, 95% CI=1.124-1.504, P<0.000; for rs821597: AA+AG vs. GG: OR=1.508, 95% CI=1.268-1.794, P<0.001; A vs. G: OR=1.345, 95% CI=1.184-1.527, P<0.001). A positive correlation was also observed between the single marker rs821616 and SCZ among the Japanese population in the recessive model (TT vs. AT+AA: OR=1.524, 95% CI=1.185-1.959, P=0.001). There was no significant relationship between other DISC1 polymorphisms (rs3738401, rs2273890, rs3738398, rs3738402, rs2492367, rs843979, rs3737597, rs4658971, rs1538979, rs1000731 and rs3738399) and SCZ. CONCLUSIONS DISC1 polymorphisms increased a risk of SCZ, especially in the Chinese population. In order to further corroborate our findings, large well-designed epidemiological studies are needed.
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6
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He BS, Zhang LY, Pan YQ, Lin K, Zhang LL, Sun HL, Gao TY, Su TQ, Wang SK, Zhu CB. Association of the DISC1 and NRG1 genetic polymorphisms with schizophrenia in a Chinese population. Gene 2016; 590:293-7. [DOI: 10.1016/j.gene.2016.05.035] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/23/2016] [Revised: 05/16/2016] [Accepted: 05/24/2016] [Indexed: 02/07/2023]
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7
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Tao H, Wong GHY, Zhang H, Zhou Y, Xue Z, Shan B, Chen EYH, Liu Z. Grey matter morphological anomalies in the caudate head in first-episode psychosis patients with delusions of reference. Psychiatry Res 2015; 233:57-63. [PMID: 26025014 DOI: 10.1016/j.pscychresns.2015.04.011] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/10/2014] [Revised: 11/18/2014] [Accepted: 04/30/2015] [Indexed: 11/26/2022]
Abstract
Delusions of reference (DOR) are theoretically linked with aberrant salience and associative learning. Previous studies have shown that the caudate nucleus plays a critical role in the cognitive circuits of coding prediction errors and associative learning. The current study aimed at testing the hypothesis that abnormalities in the caudate nucleus may be involved in the neuroanatomical substrate of DOR. Structural magnetic resonance imaging of the brain was performed in 44 first-episode psychosis patients (with diagnoses of schizophrenia or schizophreniform disorder) and 25 healthy controls. Patients were divided into three groups according to symptoms: patients with DOR as prominent positive symptom; patients with prominent positive symptoms other than DOR; and patients with minimal positive symptoms. All groups were age-, gender-, and education-matched, and patient groups were matched for diagnosis, duration of illness, and antipsychotic treatment. Voxel-based morphometric analysis was performed to identify group differences in grey matter density. Relationships were explored between grey matter density and DOR. Patients with DOR were found to have reduced grey matter density in the caudate compared with patients without DOR and healthy controls. Grey matter density values of the left and right caudate head were negatively correlated with DOR severity. Decreased grey matter density in the caudate nucleus may underlie DOR in early psychosis.
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Affiliation(s)
- Haojuan Tao
- Mental Health Institute of The Second Xiangya Hospital, National Technology Institute of Psychiatry, Key Laboratory of Psychiatry and Mental Health of Hunan Province, Central South University, Changsha, Hunan, China.
| | - Gloria H Y Wong
- Department of Psychiatry, The University of Hong Kong, Hong Kong; Sau Po Centre on Ageing, The University of Hong Kong, Hong Kong.
| | - Huiran Zhang
- Mental Health Institute of The Second Xiangya Hospital, National Technology Institute of Psychiatry, Key Laboratory of Psychiatry and Mental Health of Hunan Province, Central South University, Changsha, Hunan, China
| | - Yuan Zhou
- Key Laboratory of Behavioural Science, Institute of Psychology, Chinese Academy of Sciences, Beijing, China
| | - Zhimin Xue
- Mental Health Institute of The Second Xiangya Hospital, National Technology Institute of Psychiatry, Key Laboratory of Psychiatry and Mental Health of Hunan Province, Central South University, Changsha, Hunan, China
| | - Baoci Shan
- Key Laboratory of Nuclear Analysis Techniques, Institute of High Energy Physics, Chinese Academy of Sciences, Beijing, China
| | - Eric Y H Chen
- Department of Psychiatry, The University of Hong Kong, Hong Kong
| | - Zhening Liu
- Mental Health Institute of The Second Xiangya Hospital, National Technology Institute of Psychiatry, Key Laboratory of Psychiatry and Mental Health of Hunan Province, Central South University, Changsha, Hunan, China
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Takahashi T, Nakamura M, Nakamura Y, Aleksic B, Kido M, Sasabayashi D, Takayanagi Y, Furuichi A, Nishikawa Y, Noguchi K, Ozaki N, Suzuki M. The Disrupted-in-Schizophrenia-1 Ser704Cys polymorphism and brain neurodevelopmental markers in schizophrenia and healthy subjects. Prog Neuropsychopharmacol Biol Psychiatry 2015; 56:11-7. [PMID: 25092219 DOI: 10.1016/j.pnpbp.2014.07.005] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/04/2014] [Revised: 07/10/2014] [Accepted: 07/14/2014] [Indexed: 11/29/2022]
Abstract
Increasing evidence has implicated the role of Disrupted-in-Schizophrenia-1 (DISC1), a potential susceptibility gene for schizophrenia, in early neurodevelopmental processes. However, the effect of its genotype variation on brain morphologic changes related to neurodevelopmental abnormalities in schizophrenia remains largely unknown. This magnetic resonance imaging study examined the association between DISC1 Ser704Cys polymorphism and a range of brain neurodevelopmental markers [cavum septi pellucidi (CSP), adhesio interthalamica (AI), olfactory sulcus depth, and sulcogyral pattern (Types I, II, III, and IV) in the orbitofrontal cortex (OFC)] in an all Japanese sample of 75 schizophrenia patients and 87 healthy controls. The Cys carriers had significantly larger CSP than the Ser homozygotes for both schizophrenia patients and healthy controls. The Cys carriers also exhibited a reduction in the Type I pattern of the right OFC in the healthy controls, but not in the schizophrenia patients. The DISC1 Ser704Cys polymorphism did not affect the AI and olfactory sulcus depth in either group. These results suggested a possible role of the DISC1 genotype in the early neurodevelopment of human brains, but failed to show its specific role in the neurodevelopmental pathology of schizophrenia.
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Affiliation(s)
- Tsutomu Takahashi
- Department of Neuropsychiatry, University of Toyama, 2630 Sugitani, Toyama 930-0194, Japan.
| | - Mihoko Nakamura
- Department of Neuropsychiatry, University of Toyama, 2630 Sugitani, Toyama 930-0194, Japan
| | - Yukako Nakamura
- Department of Psychiatry, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Branko Aleksic
- Department of Psychiatry, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Mikio Kido
- Department of Neuropsychiatry, University of Toyama, 2630 Sugitani, Toyama 930-0194, Japan
| | - Daiki Sasabayashi
- Department of Neuropsychiatry, University of Toyama, 2630 Sugitani, Toyama 930-0194, Japan
| | - Yoichiro Takayanagi
- Department of Neuropsychiatry, University of Toyama, 2630 Sugitani, Toyama 930-0194, Japan
| | - Atsushi Furuichi
- Department of Neuropsychiatry, University of Toyama, 2630 Sugitani, Toyama 930-0194, Japan
| | - Yumiko Nishikawa
- Department of Neuropsychiatry, University of Toyama, 2630 Sugitani, Toyama 930-0194, Japan
| | - Kyo Noguchi
- Department of Radiology, University of Toyama, 2630 Sugitani, Toyama 930-0194, Japan
| | - Norio Ozaki
- Department of Psychiatry, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Michio Suzuki
- Department of Neuropsychiatry, University of Toyama, 2630 Sugitani, Toyama 930-0194, Japan
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9
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Duff BJ, Macritchie KAN, Moorhead TWJ, Lawrie SM, Blackwood DHR. Human brain imaging studies of DISC1 in schizophrenia, bipolar disorder and depression: a systematic review. Schizophr Res 2013; 147:1-13. [PMID: 23602339 DOI: 10.1016/j.schres.2013.03.015] [Citation(s) in RCA: 63] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/17/2012] [Revised: 03/08/2013] [Accepted: 03/15/2013] [Indexed: 02/06/2023]
Abstract
Disrupted-in-Schizophrenia 1 (DISC1) is a well researched candidate gene for schizophrenia and affective disorders with a range of functions relating to neurodevelopment. Several human brain imaging studies investigating correlations between common and rare variants in DISC1 and brain structure and function have shown conflicting results. A meta-analysis of case/control data showed no association between schizophrenia and any common SNP in DISC1. Therefore it is timely to review the literature to plan the direction of future studies. Twenty-two human brain imaging studies have examined the influence of DISC1 variants in health, schizophrenia, bipolar disorder or depression. The most studied common SNPs are Ser704Cys (rs821616) and Leu607Phe (rs6675281). Some imaging-genomic studies report effects on frontal, temporal and hippocampal structural indices in health and illness and a volumetric longitudinal study supports a putative role for these common SNPs in neurodevelopment. Callosal agenesis is described in association with rare deletions at 1q42 which include DISC1 and rare sequence variants at DISC1 itself. DISC1 interactions with translin-associated factor X (TRAX) and neuregulin have been shown to influence several regional volumes. In the first study involving neonates, a role for Ser704Cys (rs821616) has been highlighted in prenatal brain development with large clusters of reduced grey matter reported in the frontal lobes. Functional MRI studies examining associations between Ser704Cys (rs821616) and Leu607Phe (rs6675281) with prefrontal and hippocampal activation have also given inconsistent results. Prefrontal function was reported to be associated with interaction between DISC1 and CITRON (CIT) in health. Preliminary magnetic resonance spectroscopy and diffusion tensor data support the influence of Ser704Cys (rs821616) status on grey and white matter integrity. The glutamate system remains uninvestigated. Associations between rare sequence variants and structural changes in brain regions including the corpus callosum and effects of gene-gene interactions on brain structure and function are promising areas for future study.
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Affiliation(s)
- Barbara J Duff
- University of Edinburgh, Division of Psychiatry, Royal Edinburgh Hospital, Edinburgh EH10 5HF, United Kingdom.
| | - Karine A N Macritchie
- University of Edinburgh, Division of Psychiatry, Royal Edinburgh Hospital, Edinburgh EH10 5HF, United Kingdom
| | - Thomas W J Moorhead
- University of Edinburgh, Division of Psychiatry, Royal Edinburgh Hospital, Edinburgh EH10 5HF, United Kingdom
| | - Stephen M Lawrie
- University of Edinburgh, Division of Psychiatry, Royal Edinburgh Hospital, Edinburgh EH10 5HF, United Kingdom
| | - Douglas H R Blackwood
- University of Edinburgh, Division of Psychiatry, Royal Edinburgh Hospital, Edinburgh EH10 5HF, United Kingdom
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10
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Ota VK, Gadelha A, Assunção IB, Santoro ML, Christofolini DM, Bellucco FT, Santos-Filho AF, Ottoni GL, Lara DR, Mari JJ, Melaragno MI, Smith MAC, Bressan RA, Belangero SI, Jackowski AP. ZDHHC8 gene may play a role in cortical volumes of patients with schizophrenia. Schizophr Res 2013; 145:33-5. [PMID: 23403413 DOI: 10.1016/j.schres.2013.01.011] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/04/2012] [Revised: 01/11/2013] [Accepted: 01/14/2013] [Indexed: 02/07/2023]
Abstract
ZDHHC8 rs175174 polymorphism is located in 22q11.2 region and its role in brain volume has not been fully addressed. A total of 282 schizophrenia patients and 379 controls were genotyped. A sample of 138 patients underwent brain MRI scan. No association was found between schizophrenia and genotypes. Nevertheless, GG-genotype carriers presented gray matter volume (GMV) reduction in frontal lobe compared to A-allele carriers, and cerebellar hemispheres GMV reductions were found in G-allele carriers compared to AA-genotype. Moreover, A-allele carriers presented posterior brain GMV reductions when compared to GG-genotype. These data suggest that ZDHHC8 may play a role in cortical volumes.
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Affiliation(s)
- Vanessa K Ota
- Disciplina de Genética, Departamento de Morfologia e Genética, Universidade Federal de Sao Paulo (UNIFESP), Rua Botucatu, 740, Edifício Leitao da Cunha, 1° andar, CEP 04023-900, Sao Paulo, Brazil.
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11
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Sayın A, Yüksel N, Konac E, Yılmaz A, Doğan B, Tönge S, Sahiner S, Menevşe A. Effects of the adverse life events and Disrupted in Schizophrenia-1 (DISC1) gene polymorphisms on acute symptoms of schizophrenia. DNA Cell Biol 2013; 32:73-80. [PMID: 23347445 DOI: 10.1089/dna.2012.1894] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/17/2023] Open
Abstract
The aim of this study was to evaluate the effects of traumatic childhood events and recent adverse life events, as well as the Disrupted in Schizophrenia-1 (DISC1) gene polymorphisms on types of last acute symptoms of patients with schizophrenia. Hundred patients with schizophrenia were given the Childhood Trauma Questionnaire, the Social Readjustment Rating Scale, Scale for Assessment of Positive Symptoms (SAPS), Scale for Assessment of Negative Symptoms (SANS), Brief Psychiatric Rating Scale (BPRS), and Calgary Depression Scale for Schizophrenia (CDSS). The patients' and healthy controls' DISC1 gene was evaluated for the -274G>C, c.791G>A, and c.2110A>T polymorphisms. There was no statistically significant difference with regard to the DISC1 gene polymorphisms between patient and healthy control groups. No significant relationship was found between the -274G>C, c.791G>A, and c.2110A>T haplotypes and development of different acute symptoms of schizophrenia. Having a recent stressful life event significantly affected SAPS (95% confidence interval [CI]=-67.547, -21.473; p=0.00) and BPRS-1 scores (95% CI=-51.405, -6.885; p=0.01), whereas emotional abuse at childhood significantly affected SANS scores (95% CI=-37.300, -10.401; p=0.00). This study shows that features of acute symptoms in schizophrenia are not influenced by the polymorphisms on the DISC1 gene, but are influenced by recent adverse life events and emotional abuse at childhood.
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Affiliation(s)
- Aslıhan Sayın
- Department of Psychiatry, Medical Faculty, Gazi University, Ankara, Turkey.
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Thomson PA, Malavasi ELV, Grünewald E, Soares DC, Borkowska M, Millar JK. DISC1 genetics, biology and psychiatric illness. FRONTIERS IN BIOLOGY 2013; 8:1-31. [PMID: 23550053 PMCID: PMC3580875 DOI: 10.1007/s11515-012-1254-7] [Citation(s) in RCA: 84] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
Psychiatric disorders are highly heritable, and in many individuals likely arise from the combined effects of genes and the environment. A substantial body of evidence points towards DISC1 being one of the genes that influence risk of schizophrenia, bipolar disorder and depression, and functional studies of DISC1 consequently have the potential to reveal much about the pathways that lead to major mental illness. Here, we review the evidence that DISC1 influences disease risk through effects upon multiple critical pathways in the developing and adult brain.
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Affiliation(s)
- Pippa A Thomson
- The Centre for Molecular Medicine at the Medical Research Council Institute of Genetics and Molecular Medicine, The University of Edinburgh, Western General Hospital, Crewe Road, Edinburgh EH4 2XU, UK
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