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Martins-Costa C, Wiegers A, Pham VA, Sidhaye J, Doleschall B, Novatchkova M, Lendl T, Piber M, Peer A, Möseneder P, Stuempflen M, Chow SYA, Seidl R, Prayer D, Höftberger R, Kasprian G, Ikeuchi Y, Corsini NS, Knoblich JA. ARID1B controls transcriptional programs of axon projection in an organoid model of the human corpus callosum. Cell Stem Cell 2024; 31:866-885.e14. [PMID: 38718796 DOI: 10.1016/j.stem.2024.04.014] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2023] [Revised: 02/13/2024] [Accepted: 04/17/2024] [Indexed: 06/09/2024]
Abstract
Mutations in ARID1B, a member of the mSWI/SNF complex, cause severe neurodevelopmental phenotypes with elusive mechanisms in humans. The most common structural abnormality in the brain of ARID1B patients is agenesis of the corpus callosum (ACC), characterized by the absence of an interhemispheric white matter tract that connects distant cortical regions. Here, we find that neurons expressing SATB2, a determinant of callosal projection neuron (CPN) identity, show impaired maturation in ARID1B+/- neural organoids. Molecularly, a reduction in chromatin accessibility of genomic regions targeted by TCF-like, NFI-like, and ARID-like transcription factors drives the differential expression of genes required for corpus callosum (CC) development. Through an in vitro model of the CC tract, we demonstrate that this transcriptional dysregulation impairs the formation of long-range axonal projections, causing structural underconnectivity. Our study uncovers new functions of the mSWI/SNF during human corticogenesis, identifying cell-autonomous axonogenesis defects in SATB2+ neurons as a cause of ACC in ARID1B patients.
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Affiliation(s)
- Catarina Martins-Costa
- Institute of Molecular Biotechnology of the Austrian Academy of Sciences (IMBA), Vienna BioCenter (VBC), 1030 Vienna, Austria; Vienna BioCenter PhD Program, Doctoral School of the University of Vienna and Medical University of Vienna, 1030 Vienna, Austria
| | - Andrea Wiegers
- Institute of Molecular Biotechnology of the Austrian Academy of Sciences (IMBA), Vienna BioCenter (VBC), 1030 Vienna, Austria
| | - Vincent A Pham
- Institute of Molecular Biotechnology of the Austrian Academy of Sciences (IMBA), Vienna BioCenter (VBC), 1030 Vienna, Austria
| | - Jaydeep Sidhaye
- Institute of Molecular Biotechnology of the Austrian Academy of Sciences (IMBA), Vienna BioCenter (VBC), 1030 Vienna, Austria
| | - Balint Doleschall
- Institute of Molecular Biotechnology of the Austrian Academy of Sciences (IMBA), Vienna BioCenter (VBC), 1030 Vienna, Austria; Vienna BioCenter PhD Program, Doctoral School of the University of Vienna and Medical University of Vienna, 1030 Vienna, Austria
| | - Maria Novatchkova
- Institute of Molecular Biotechnology of the Austrian Academy of Sciences (IMBA), Vienna BioCenter (VBC), 1030 Vienna, Austria
| | - Thomas Lendl
- Institute of Molecular Biotechnology of the Austrian Academy of Sciences (IMBA), Vienna BioCenter (VBC), 1030 Vienna, Austria
| | - Marielle Piber
- Institute of Molecular Biotechnology of the Austrian Academy of Sciences (IMBA), Vienna BioCenter (VBC), 1030 Vienna, Austria
| | - Angela Peer
- Institute of Molecular Biotechnology of the Austrian Academy of Sciences (IMBA), Vienna BioCenter (VBC), 1030 Vienna, Austria
| | - Paul Möseneder
- Institute of Molecular Biotechnology of the Austrian Academy of Sciences (IMBA), Vienna BioCenter (VBC), 1030 Vienna, Austria
| | - Marlene Stuempflen
- Department of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, 1090 Vienna, Austria
| | - Siu Yu A Chow
- Institute of Industrial Science, The University of Tokyo, 153-8505 Tokyo, Japan; Institute for AI and Beyond, The University of Tokyo, 113-0032 Tokyo, Japan
| | - Rainer Seidl
- Department of Pediatrics and Adolescent Medicine, Medical University of Vienna, 1090 Vienna, Austria
| | - Daniela Prayer
- Department of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, 1090 Vienna, Austria
| | - Romana Höftberger
- Division of Neuropathology and Neurochemistry, Department of Neurology, Medical University of Vienna, 1090 Vienna, Austria
| | - Gregor Kasprian
- Department of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, 1090 Vienna, Austria
| | - Yoshiho Ikeuchi
- Institute of Industrial Science, The University of Tokyo, 153-8505 Tokyo, Japan; Institute for AI and Beyond, The University of Tokyo, 113-0032 Tokyo, Japan
| | - Nina S Corsini
- Institute of Molecular Biotechnology of the Austrian Academy of Sciences (IMBA), Vienna BioCenter (VBC), 1030 Vienna, Austria.
| | - Jürgen A Knoblich
- Institute of Molecular Biotechnology of the Austrian Academy of Sciences (IMBA), Vienna BioCenter (VBC), 1030 Vienna, Austria; Department of Neurology, Medical University of Vienna, 1090 Vienna, Austria.
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Shen G, Chen L, Liu Y, Zhu Q, Kang Y, Luo X, Wang F, Wang W. ANK3 rs10994336 and ZNF804A rs7597593 polymorphisms: genetic interaction for emotional and behavioral symptoms of alcohol withdrawal syndrome. BMC Psychiatry 2024; 24:335. [PMID: 38702695 PMCID: PMC11067186 DOI: 10.1186/s12888-024-05787-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/14/2023] [Accepted: 04/24/2024] [Indexed: 05/06/2024] Open
Abstract
OBJECTIVE Alcohol withdrawal syndrome (AWS) is a complex condition associated with alcohol use disorder (AUD), characterized by significant variations in symptom severity among patients. The psychological and emotional symptoms accompanying AWS significantly contribute to withdrawal distress and relapse risk. Despite the importance of neural adaptation processes in AWS, limited genetic investigations have been conducted. This study primarily focuses on exploring the single and interaction effects of single-nucleotide polymorphisms in the ANK3 and ZNF804A genes on anxiety and aggression severity manifested in AWS. By examining genetic associations with withdrawal-related psychopathology, we ultimately aim to advance understanding the genetic underpinnings that modulate AWS severity. METHODS The study involved 449 male patients diagnosed with alcohol use disorder. The Self-Rating Anxiety Scale (SAS) and Buss-Perry Aggression Questionnaire (BPAQ) were used to assess emotional and behavioral symptoms related to AWS. Genomic DNA was extracted from peripheral blood, and genotyping was performed using PCR. RESULTS Single-gene analysis revealed that naturally occurring allelic variants in ANK3 rs10994336 (CC homozygous vs. T allele carriers) were associated with mood and behavioral symptoms related to AWS. Furthermore, the interaction between ANK3 and ZNF804A was significantly associated with the severity of psychiatric symptoms related to AWS, as indicated by MANOVA. Two-way ANOVA further demonstrated a significant interaction effect between ANK3 rs10994336 and ZNF804A rs7597593 on anxiety, physical aggression, verbal aggression, anger, and hostility. Hierarchical regression analyses confirmed these findings. Additionally, simple effects analysis and multiple comparisons revealed that carriers of the ANK3 rs10994336 T allele experienced more severe AWS, while the ZNF804A rs7597593 T allele appeared to provide protection against the risk associated with the ANK3 rs10994336 mutation. CONCLUSION This study highlights the gene-gene interaction between ANK3 and ZNF804A, which plays a crucial role in modulating emotional and behavioral symptoms related to AWS. The ANK3 rs10994336 T allele is identified as a risk allele, while the ZNF804A rs7597593 T allele offers protection against the risk associated with the ANK3 rs10994336 mutation. These findings provide initial support for gene-gene interactions as an explanation for psychiatric risk, offering valuable insights into the pathophysiological mechanisms involved in AWS.
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Affiliation(s)
- Guanghui Shen
- Key Laboratory of Psychoneuroendocrinology, Wenzhou Seventh People's Hospital, Wenzhou, 325006, China
- School of Mental Health, Wenzhou Medical University, Wenzhou, 325035, China
| | - Li Chen
- School of Mental Health, Wenzhou Medical University, Wenzhou, 325035, China
| | - Yanlong Liu
- School of Mental Health, Wenzhou Medical University, Wenzhou, 325035, China
| | - Qi Zhu
- School of Mental Health, Wenzhou Medical University, Wenzhou, 325035, China
| | - Yimin Kang
- Psychosomatic Medicine Research Division, Inner Mongolia Medical University, Hohhot, China
| | - Xinguang Luo
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT, 06510, USA.
| | - Fan Wang
- Beijing Hui-Long-Guan Hospital, Peking University, Beijing, China.
| | - Wei Wang
- School of Mental Health, Wenzhou Medical University, Wenzhou, 325035, China.
- Zhejiang Provincial Clinical Research Center for Mental Disorders, The Affiliated Wenzhou Kangning Hospital, Wenzhou Medical University, Wenzhou, China.
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Francisco RD, Fernando V, Norma E, Madai ME, Marcelo B. Glial changes in schizophrenia: Genetic and epigenetic approach. Indian J Psychiatry 2022; 64:3-12. [PMID: 35400734 PMCID: PMC8992743 DOI: 10.4103/indianjpsychiatry.indianjpsychiatry_104_21] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/04/2021] [Revised: 10/24/2021] [Accepted: 12/23/2021] [Indexed: 11/23/2022] Open
Abstract
BACKGROUND Schizophrenia (SCZ) is a severe mental illness that affects one percent of the population, affecting how people think, feel, and behave. Evidence suggests glial cell alteration and some researchers have found genetic risk loci and epigenetic marks that may regulate glia-related genes implicated in SCZ. AIM The aim of this study is to identify genetic and epigenetic changes that have been reported in glial cells or glial-associated genes in SCZ. MATERIALS AND METHODS We searched the articles from PubMed, PubMed Central, Medline, Medscape, and Embase databases up to December 2020 to identify relevant peer-reviewed articles in English. The titles and abstracts were screened to eliminate irrelevant citations. RESULTS Twenty-four original articles were included in the review. Studies were categorized into the following four thematic via: (1) oligodendrocytes, (2) microglia, (3) astrocytes, and (4) perspectives. CONCLUSION This study is the first of its kind to review research on genetic variants and epigenetic modifications associated with glia-related genes implicated in SCZ. Epigenetic evidence is considerably less than genetic evidence in this field. Understanding the pathways of some risk genes and their genetic and epigenetic regulation allows us to understand and find potential targets for future interventions in this mental illness.
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Affiliation(s)
- Ramos Daniel Francisco
- Faculty of Chemical Sciences, Juarez University of the State of Durango, Durango, Mexico
| | - Vazquez Fernando
- Faculty of Chemical Sciences, Juarez University of the State of Durango, Durango, Mexico.,Research Unit, General Hospital 450, Durango, Mexico
| | - Estrada Norma
- Faculty of Chemical Sciences, Juarez University of the State of Durango, Durango, Mexico
| | - Méndez Edna Madai
- Scientific Research Institute, Juarez University of the State of Durango, Durango, Mexico
| | - Barraza Marcelo
- Faculty of Chemical Sciences, Juarez University of the State of Durango, Durango, Mexico
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Bartsch U, Corbin LJ, Hellmich C, Taylor M, Easey KE, Durant C, Marston HM, Timpson NJ, Jones MW. Schizophrenia-associated variation at ZNF804A correlates with altered experience-dependent dynamics of sleep slow waves and spindles in healthy young adults. Sleep 2021; 44:zsab191. [PMID: 34329479 PMCID: PMC8664578 DOI: 10.1093/sleep/zsab191] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/26/2021] [Revised: 07/06/2021] [Indexed: 12/12/2022] Open
Abstract
The rs1344706 polymorphism in ZNF804A is robustly associated with schizophrenia and schizophrenia is, in turn, associated with abnormal non-rapid eye movement (NREM) sleep neurophysiology. To examine whether rs1344706 is associated with intermediate neurophysiological traits in the absence of disease, we assessed the relationship between genotype, sleep neurophysiology, and sleep-dependent memory consolidation in healthy participants. We recruited healthy adult males with no history of psychiatric disorder from the Avon Longitudinal Study of Parents and Children (ALSPAC) birth cohort. Participants were homozygous for either the schizophrenia-associated 'A' allele (N = 22) or the alternative 'C' allele (N = 18) at rs1344706. Actigraphy, polysomnography (PSG) and a motor sequence task (MST) were used to characterize daily activity patterns, sleep neurophysiology and sleep-dependent memory consolidation. Average MST learning and sleep-dependent performance improvements were similar across genotype groups, albeit more variable in the AA group. During sleep after learning, CC participants showed increased slow-wave (SW) and spindle amplitudes, plus augmented coupling of SW activity across recording electrodes. SW and spindles in those with the AA genotype were insensitive to learning, whilst SW coherence decreased following MST training. Accordingly, NREM neurophysiology robustly predicted the degree of overnight motor memory consolidation in CC carriers, but not in AA carriers. We describe evidence that rs1344706 polymorphism in ZNF804A is associated with changes in the coordinated neural network activity that supports offline information processing during sleep in a healthy population. These findings highlight the utility of sleep neurophysiology in mapping the impacts of schizophrenia-associated common genetic variants on neural circuit oscillations and function.
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Affiliation(s)
- Ullrich Bartsch
- School of Physiology, Pharmacology & Neuroscience, University of Bristol, Bristol, UK
- Translational Neuroscience, Eli Lilly & Co Ltd UK, Erl Wood Manor, Windlesham, UK
- UK DRI Health Care & Technology at Imperial College London and the University of Surrey, Surrey Sleep Research Centre, University of Surrey, Clinical Research Building, Egerton Road, Guildford, Surrey, UK
| | - Laura J Corbin
- MRC Integrative Epidemiology Unit at University of Bristol, Bristol, UK
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Charlotte Hellmich
- School of Physiology, Pharmacology & Neuroscience, University of Bristol, Bristol, UK
| | - Michelle Taylor
- MRC Integrative Epidemiology Unit at University of Bristol, Bristol, UK
| | - Kayleigh E Easey
- MRC Integrative Epidemiology Unit at University of Bristol, Bristol, UK
- UK Centre for Tobacco and Alcohol Studies, School of Psychological Science, University of Bristol, Bristol, UK
| | - Claire Durant
- Clinical Research and Imaging Centre (CRIC), University of Bristol, Bristol, UK
| | - Hugh M Marston
- Translational Neuroscience, Eli Lilly & Co Ltd UK, Erl Wood Manor, Windlesham, UK
- Böhringer Ingelheim Pharma GmbH & Co. KG, Biberach, Germany
| | - Nicholas J Timpson
- MRC Integrative Epidemiology Unit at University of Bristol, Bristol, UK
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Matthew W Jones
- School of Physiology, Pharmacology & Neuroscience, University of Bristol, Bristol, UK
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Zhu X, Ward J, Cullen B, Lyall DM, Strawbridge RJ, Lyall LM, Smith DJ. Phenotypic and genetic associations between anhedonia and brain structure in UK Biobank. Transl Psychiatry 2021; 11:395. [PMID: 34282121 PMCID: PMC8289859 DOI: 10.1038/s41398-021-01522-4] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/02/2021] [Revised: 06/30/2021] [Accepted: 07/05/2021] [Indexed: 02/07/2023] Open
Abstract
Anhedonia is a core symptom of multiple psychiatric disorders and has been associated with alterations in brain structure. Genome-wide association studies suggest that anhedonia is heritable, with a polygenic architecture, but few studies have explored the association between genetic loading for anhedonia-indexed by polygenic risk scores for anhedonia (PRS-anhedonia)-and structural brain imaging phenotypes. Here, we investigated how anhedonia and PRS-anhedonia were associated with brain structure within the UK Biobank cohort. Brain measures (including total grey/white matter volumes, subcortical volumes, cortical thickness (CT) and white matter integrity) were analysed using linear mixed models in relation to anhedonia and PRS-anhedonia in 19,592 participants (9225 males; mean age = 62.6 years, SD = 7.44). We found that state anhedonia was significantly associated with reduced total grey matter volume (GMV); increased total white matter volume (WMV); smaller volumes in thalamus and nucleus accumbens; reduced CT within the paracentral cortex, the opercular part of inferior frontal gyrus, precentral cortex, insula and rostral anterior cingulate cortex; and poorer integrity of many white matter tracts. PRS-anhedonia was associated with reduced total GMV; increased total WMV; reduced white matter integrity; and reduced CT within the parahippocampal cortex, superior temporal gyrus and insula. Overall, both state anhedonia and PRS-anhedonia were associated with individual differences in multiple brain structures, including within reward-related circuits. These associations may represent vulnerability markers for psychopathology relevant to a range of psychiatric disorders.
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Affiliation(s)
- Xingxing Zhu
- Institute of Health and Wellbeing, University of Glasgow, Glasgow, UK.
| | - Joey Ward
- Institute of Health and Wellbeing, University of Glasgow, Glasgow, UK
| | - Breda Cullen
- Institute of Health and Wellbeing, University of Glasgow, Glasgow, UK
| | - Donald M Lyall
- Institute of Health and Wellbeing, University of Glasgow, Glasgow, UK
| | - Rona J Strawbridge
- Institute of Health and Wellbeing, University of Glasgow, Glasgow, UK
- Cardiovascular Medicine Unit, Department of Medicine Solna, Karolinska Institutet, Stockholm, Sweden
- Health Data Research (HDR), Glasgow, UK
| | - Laura M Lyall
- Institute of Health and Wellbeing, University of Glasgow, Glasgow, UK
| | - Daniel J Smith
- Institute of Health and Wellbeing, University of Glasgow, Glasgow, UK
- Division of Psychiatry, Kennedy Tower, Royal Edinburgh Hospital, Edinburgh, UK
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Squassina A, Meloni A, Chillotti C, Pisanu C. Zinc finger proteins in psychiatric disorders and response to psychotropic medications. Psychiatr Genet 2019; 29:132-141. [PMID: 31464994 DOI: 10.1097/ypg.0000000000000231] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Abstract
Zinc finger proteins are a large family of abundantly expressed small motifs that play a crucial role in a wide range of physiological and pathophysiological mechanisms. Findings published so far support an involvement of zinc fingers in psychiatric disorders. Most of the evidence has been provided for the zinc finger protein 804A (ZNF804A) gene, which has been suggested to be implicated in schizophrenia and bipolar disorder. This evidence has been corroborated by a wide range of functional studies showing that ZNF804A regulates the expression of genes involved in cell adhesion and plays a crucial role in neurite formation and maintenance of dendritic spines. On the other hand, far less is known on other zinc finger proteins and their involvement in psychiatric disorders. In this review, we discussed studies exploring the role of zinc finger proteins in schizophrenia, bipolar disorder, and major depressive disorder as well as in pharmacogenetics of psychotropic drugs.
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Affiliation(s)
- Alessio Squassina
- Department of Biomedical Sciences, Section of Neuroscience and Clinical Pharmacology, University of Cagliari Unit of Clinical Pharmacology, University Hospital of Cagliari, Cagliari, Italy Department of Psychiatry, Dalhousie University, Halifax, NS, Canada Department of Neuroscience, Unit of Functional Pharmacology, Uppsala University, Uppsala, Sweden
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Wang S, He Y, Chen Z, Li Y, Zhao J, Lyu L. Pleiotropic action of genetic variation in ZNF804A on brain structure: a meta-analysis of magnetic resonance imaging studies. Neuropsychiatr Dis Treat 2019; 15:721-729. [PMID: 30962687 PMCID: PMC6432899 DOI: 10.2147/ndt.s174728] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/18/2022] Open
Abstract
OBJECTIVE The zinc finger protein 804A (ZNF804A) gene encodes the protein 804A containing the C2H2 zinc finger structure, which plays an important role in embryonic nerve development and repair. Previous studies have shown a significant association between the ZNF804A genetic variation polymorphism rs1344706 and the risk of schizophrenia and brain structure abnormalities. However, the findings are inconsistent. MATERIALS AND METHODS Seventeen studies on structural magnetic resonance imaging (sMRI), with 1,031 schizophrenia patients and 3,416 healthy controls, were included in the meta-analysis. These analyses were performed using Anisotropic Effect-Size Signed Differential Mapping (AES-SDM) software and Comprehensive Meta-Analysis (CMA) software. RESULTS rs1344706 risk allele carriers of schizophrenia had increased gray matter in the brain regions including frontal lobe, temporal lobe, and other brain regions, but the carriers of healthy individuals had decreased gray matter and white matter integrity in the frontal lobe, central network, and other brain regions. The results of sensitivity analysis are stable, but publication bias exists in a few analyses of indexes. CONCLUSION Abnormalities of brain structure have a strong relationship with ZNF804A gene rs1344706 polymorphism, but the association may be different in healthy individuals and those with mental disorders.
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Affiliation(s)
- Shuai Wang
- Department of Psychology, Chengdu Medical College, Chengdu, People's Republic of China, .,Mental Health Institute of the Second Xiangya Hospital, Central South University, National Clinical Research Center on Mental Health Disorders, National Technology Institute on Mental Disorders, Hunan Key Laboratory of Psychiatry and Mental Health, Changsha, People's Republic of China,
| | - Yi He
- Medical Group, Department of Academic Popularization, DIAO Group, Chengdu, People's Republic of China
| | - Zi Chen
- Department of Psychology, Chengdu Medical College, Chengdu, People's Republic of China,
| | - Yanzhang Li
- Department of Psychology, Chengdu Medical College, Chengdu, People's Republic of China,
| | - Jingping Zhao
- Mental Health Institute of the Second Xiangya Hospital, Central South University, National Clinical Research Center on Mental Health Disorders, National Technology Institute on Mental Disorders, Hunan Key Laboratory of Psychiatry and Mental Health, Changsha, People's Republic of China,
| | - Luxian Lyu
- Henan Mental Hospital, The Second Affiliated Hospital of Xinxiang Medical University, Xinxiang, People's Republic of China
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Zhou Y, Dong F, Mao Y. Control of CNS functions by RNA-binding proteins in neurological diseases. ACTA ACUST UNITED AC 2018; 4:301-313. [PMID: 30410853 DOI: 10.1007/s40495-018-0140-7] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
Abstract
Purpose of Review This review summarizes recent studies on the molecular mechanisms of RNA binding proteins (RBPs) that control neurological functions and pathogenesis in various neurodevelopmental and neurodegenerative diseases, including autism spectrum disorders, schizophrenia, Alzheimer's disease, amyotrophic lateral sclerosis, frontotemporal dementia, and spinocerebellar ataxia. Recent Findings RBPs are critical players in gene expression that regulate every step of posttranscriptional modifications. Recent genome-wide approaches revealed that many proteins associate with RNA, but do not contain any known RNA binding motifs. Additionally, many causal and risk genes of neurodevelopmental and neurodegenerative diseases are RBPs. Development of high-throughput sequencing methods has mapped out the fingerprints of RBPs on transcripts and provides unprecedented potential to discover new mechanisms of neurological diseases. Insights into how RBPs modulate neural development are important for designing effective therapies for numerous neurodevelopmental and neurodegenerative diseases. Summary RBPs have diverse mechanisms for modulating RNA processing and, thereby, controlling neurogenesis. Understanding the role of disease-associated RBPs in neurogenesis is vital for developing novel treatments for neurological diseases.
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Affiliation(s)
- Yijing Zhou
- Department of Biology, Pennsylvania State University, University Park, PA, 16802, USA
| | - Fengping Dong
- Department of Biology, Pennsylvania State University, University Park, PA, 16802, USA
| | - Yingwei Mao
- Department of Biology, Pennsylvania State University, University Park, PA, 16802, USA
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Squarcina L, Houenou J, Altamura AC, Soares J, Brambilla P. Association of increased genotypes risk for bipolar disorder with brain white matter integrity investigated with tract-based spatial statistics: Special Section on "Translational and Neuroscience Studies in Affective Disorders". Section Editor, Maria Nobile MD, PhD. This Section of JAD focuses on the relevance of translational and neuroscience studies in providing a better understanding of the neural basis of affective disorders. The main aim is to briefly summarise relevant research findings in clinical neuroscience with particular regards to specific innovative topics in mood and anxiety disorders. J Affect Disord 2017. [PMID: 28648753 DOI: 10.1016/j.jad.2017.06.031] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
Abstract
BACKGROUND Diffusion tensor imaging (DTI) studies, which allow the in-vivo investigation of brain tissue integrity, have shown that bipolar disorder (BD) patients present signs of white matter dysconnectivity. In parallel, genome-wide association studies (GWAS) identified several risk genetic variants for BD. I METHODS In this mini-review, we summarized DTI studies coupling tract-based spatial statistics (TBSS), a reliable technique exploring white matter axon bundles, and genetics in BD. We performed a bibliographic search on PUBMED, using the search terms "TBSS", "genetics", "genome", "genes", "polymorphism", "bipolar disorder". RESULTS Ten studies met these inclusion criteria. ANK3 and ZNF804A polymorphisms have shown the most consistent results, with the risk alleles showing abnormal white matter integrity in patients with BD. LIMITATIONS Current studies are limited by the investigation of single SNPs in small and chronically treated samples. CONCLUSIONS Most considered TBSS-DTI studies found associations between decreased white matter integrity and genetic risk variants. These results suggest an involvement of dysmyelination in the pathogenesis of BD. The combination of TBSS with genotyping can be powerful to unveil the role of white matter in BD, in conjunction with risk genes. Future DTI studies should combine TBSS and GWAS in large populations of drug-free or minimally treated patients with BD at the onset of the disease.
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Affiliation(s)
- L Squarcina
- IRCCS "E. Medea" Scientific Institute, Bosisio Parini, Italy
| | - J Houenou
- APHP, Hôpitaux Universitaires Mondor, Pôle de psychiatrie, Faculté de Médecine, Université Paris Est, INSERM U955, IMRB, Equipe 15, Psychiatrie Translationnelle, Créteil, France; UNIACT, Psychiatry Team, Neurospin Neuroimaging Platform, CEA Saclay, Gif-Sur-Yvette, France
| | - A C Altamura
- Department of Neurosciences and Mental Health, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, University of Milan, Milan, Italy
| | - J Soares
- Department of Psychiatry and Behavioral Sciences, The University of Texas Health Science Center at Houston, USA
| | - P Brambilla
- Department of Neurosciences and Mental Health, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, University of Milan, Milan, Italy; Department of Psychiatry and Behavioural Neurosciences, University of Texas at Houston, TX, USA.
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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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Mallas EJ, Carletti F, Chaddock CA, Woolley J, Picchioni MM, Shergill SS, Kane F, Allin MP, Barker GJ, Prata DP. Genome-wide discovered psychosis-risk gene ZNF804A impacts on white matter microstructure in health, schizophrenia and bipolar disorder. PeerJ 2016; 4:e1570. [PMID: 26966642 PMCID: PMC4782689 DOI: 10.7717/peerj.1570] [Citation(s) in RCA: 24] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/17/2015] [Accepted: 12/15/2015] [Indexed: 01/10/2023] Open
Abstract
Background. Schizophrenia (SZ) and bipolar disorder (BD) have both been associated with reduced microstructural white matter integrity using, as a proxy, fractional anisotropy (FA) detected using diffusion tensor imaging (DTI). Genetic susceptibility for both illnesses has also been positively correlated in recent genome-wide association studies with allele A (adenine) of single nucleotide polymorphism (SNP) rs1344706 of the ZNF804A gene. However, little is known about how the genomic linkage disequilibrium region tagged by this SNP impacts on the brain to increase risk for psychosis. This study aimed to assess the impact of this risk variant on FA in patients with SZ, in those with BD and in healthy controls. Methods. 230 individuals were genotyped for the rs1344706 SNP and underwent DTI. We used tract-based spatial statistics (TBSS) followed by an analysis of variance, with threshold-free cluster enhancement (TFCE), to assess underlying effects of genotype, diagnosis and their interaction, on FA. Results. As predicted, statistically significant reductions in FA across a widely distributed brain network (p < 0.05, TFCE-corrected) were positively associated both with a diagnosis of SZ or BD and with the double (homozygous) presence of the ZNF804A rs1344706 risk variant (A). The main effect of genotype was medium (d = 0.48 in a 44,054-voxel cluster) and the effect in the SZ group alone was large (d = 1.01 in a 51,260-voxel cluster), with no significant effects in BD or controls, in isolation. No areas under a significant diagnosis by genotype interaction were found. Discussion. We provide the first evidence in a predominantly Caucasian clinical sample, of an association between ZNF804A rs1344706 A-homozygosity and reduced FA, both irrespective of diagnosis and particularly in SZ (in overlapping brain areas). This suggests that the previously observed involvement of this genomic region in psychosis susceptibility, and in impaired functional connectivity, may be conferred through it inducing abnormalities in white matter microstructure.
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Affiliation(s)
- Emma-Jane Mallas
- Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, University of London, London, United Kingdom
- Computational, Cognitive and Clinical Neuroimaging Laboratory, Division of Brain Sciences, Department of Medicine, Imperial College London, London, United Kingdom
| | - Francesco Carletti
- Department of Neuroradiology, John Radcliffe Hospital, Oxford University Hospitals NHS Trust, Oxford, United Kingdom
| | - Christopher A. Chaddock
- Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, University of London, London, United Kingdom
| | - James Woolley
- Psychological Medicine, Royal Brompton & Harefield NHS Trust, London, United Kingdom
| | - Marco M. Picchioni
- Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, University of London, London, United Kingdom
- St Andrew’s Academic Department, St Andrew’s Healthcare, Northampton, United Kingdom
| | - Sukhwinder S. Shergill
- Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, University of London, London, United Kingdom
| | - Fergus Kane
- Department of Psychology, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, University of London, London, United Kingdom
| | - Matthew P.G. Allin
- Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, University of London, London, United Kingdom
| | - Gareth J. Barker
- Department of Neuroimaging, Institute of Psychiatry, Psychology & Neuroscience, King’s College London, University of London, London, United Kingdom
| | - Diana P. Prata
- Department of Neuroimaging, Institute of Psychiatry, Psychology & Neuroscience, King’s College London, University of London, London, United Kingdom
- Instituto de Medicina Molecular, Faculdade de Medicina, Universidade de Lisboa, Lisbon, Portugal
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12
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Ordemann JM, Austin RN. Lead neurotoxicity: exploring the potential impact of lead substitution in zinc-finger proteins on mental health. Metallomics 2016; 8:579-88. [DOI: 10.1039/c5mt00300h] [Citation(s) in RCA: 39] [Impact Index Per Article: 4.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
Abstract
This critical review focuses on one possible link between the cellular biology of lead and its neurotoxic effects: the link between Pb2+substitution for Zn2+in zinc-finger proteins and mental illness in adulthood.
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13
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Chang EH, Kirtley A, Chandon TSS, Borger P, Husain-Krautter S, Vingtdeux V, Malhotra AK. Postnatal neurodevelopmental expression and glutamate-dependent regulation of the ZNF804A rodent homologue. Schizophr Res 2015; 168:402-410. [PMID: 26164821 PMCID: PMC4591171 DOI: 10.1016/j.schres.2015.06.023] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/13/2015] [Revised: 06/19/2015] [Accepted: 06/23/2015] [Indexed: 12/28/2022]
Abstract
The zinc finger protein ZNF804A rs1344706 variant is a replicated genome-wide significant risk variant for schizophrenia and bipolar disorder. While its association with altered brain structure and cognition in patients and healthy risk allele carriers is well documented, the characteristics and function of the gene in the brain remains poorly understood. Here, we used in situ hybridization to determine mRNA expression levels of the ZNF804A rodent homologue, Zfp804a, across multiple postnatal neurodevelopmental time points in the rat brain. We found changes in Zfp804a expression in the rat hippocampus, frontal cortex, and thalamus across postnatal neurodevelopment. Zfp804a mRNA peaked at postnatal day (P) 21 in hippocampal CA1 and DG regions and was highest in the lower cortical layers of frontal cortex at P1, possibly highlighting a role in developmental migration. Using immunofluorescence, we found that Zfp804a mRNA and ZFP804A co-localized with neurons and not astrocytes. In primary cultured cortical neurons, we found that Zfp804a expression was significantly increased when neurons were exposed to glutamate [20μM], but this increase was blocked by the N-methyl-d-aspartate receptor (NMDAR) antagonist MK-801. Expression of Comt, Pde4b, and Drd2, genes previously shown to be regulated by ZNF804A overexpression, was also significantly changed in an NMDA-dependent manner. Our results describe, for the first time, the unique postnatal neurodevelopmental expression of Zfp804a in the rodent brain and demonstrate that glutamate potentially plays an important role in the regulation of this psychiatric susceptibility gene. These are critical steps toward understanding the biological function of ZNF804A in the mammalian brain.
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Affiliation(s)
- Eric H. Chang
- Center for Psychiatric Neuroscience, The Feinstein Institute for Medical Research, North Shore-LIJ Health System, 350 Community Drive, Manhasset, NY 11030, USA, Department of Psychiatry Research, Zucker Hillside Hospital, North Shore-LIJ Health System, 75-59 263rd Street, Glen Oaks, NY 11004, USA
| | - Anne Kirtley
- Center for Psychiatric Neuroscience, The Feinstein Institute for Medical Research, North Shore-LIJ Health System, 350 Community Drive, Manhasset, NY 11030, USA, Department of Psychiatry Research, Zucker Hillside Hospital, North Shore-LIJ Health System, 75-59 263rd Street, Glen Oaks, NY 11004, USA
| | - Toni-Shay S. Chandon
- Center for Psychiatric Neuroscience, The Feinstein Institute for Medical Research, North Shore-LIJ Health System, 350 Community Drive, Manhasset, NY 11030, USA, Department of Psychiatry Research, Zucker Hillside Hospital, North Shore-LIJ Health System, 75-59 263rd Street, Glen Oaks, NY 11004, USA
| | - Philip Borger
- Center for Psychiatric Neuroscience, The Feinstein Institute for Medical Research, North Shore-LIJ Health System, 350 Community Drive, Manhasset, NY 11030, USA, Department of Psychiatry Research, Zucker Hillside Hospital, North Shore-LIJ Health System, 75-59 263rd Street, Glen Oaks, NY 11004, USA
| | - Sehba Husain-Krautter
- Center for Psychiatric Neuroscience, The Feinstein Institute for Medical Research, North Shore-LIJ Health System, 350 Community Drive, Manhasset, NY 11030, USA, Department of Psychiatry Research, Zucker Hillside Hospital, North Shore-LIJ Health System, 75-59 263rd Street, Glen Oaks, NY 11004, USA, Center for Oncology and Cell Biology, The Feinstein Institute for Medical Research, North Shore-LIJ Health System, 350 Community Drive, Manhasset, NY 11030, USA
| | - Valerie Vingtdeux
- Litwin Center for the Study of Alzheimer's Disease, The Feinstein Institute for Medical Research, North Shore-LIJ Health System, 350 Community Drive, Manhasset, NY 11030, USA
| | - Anil K. Malhotra
- Center for Psychiatric Neuroscience, The Feinstein Institute for Medical Research, North Shore-LIJ Health System, 350 Community Drive, Manhasset, NY 11030, USA, Department of Psychiatry Research, Zucker Hillside Hospital, North Shore-LIJ Health System, 75-59 263rd Street, Glen Oaks, NY 11004, USA, Hofstra North Shore-LIJ School of Medicine, Departments of Psychiatry and Molecular Medicine, Hofstra University, Hempstead, NY, USA
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14
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Mueller BA, Lim KO, Hemmy L, Camchong J. Diffusion MRI and its Role in Neuropsychology. Neuropsychol Rev 2015; 25:250-71. [PMID: 26255305 PMCID: PMC4807614 DOI: 10.1007/s11065-015-9291-z] [Citation(s) in RCA: 31] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/04/2015] [Accepted: 07/21/2015] [Indexed: 12/13/2022]
Abstract
Diffusion Magnetic Resonance Imaging (dMRI) is a popular method used by neuroscientists to uncover unique information about the structural connections within the brain. dMRI is a non-invasive imaging methodology in which image contrast is based on the diffusion of water molecules in tissue. While applicable to many tissues in the body, this review focuses exclusively on the use of dMRI to examine white matter in the brain. In this review, we begin with a definition of diffusion and how diffusion is measured with MRI. Next we introduce the diffusion tensor model, the predominant model used in dMRI. We then describe acquisition issues related to acquisition parameters and scanner hardware and software. Sources of artifacts are then discussed, followed by a brief review of analysis approaches. We provide an overview of the limitations of the traditional diffusion tensor model, and highlight several more sophisticated non-tensor models that better describe the complex architecture of the brain's white matter. We then touch on reliability and validity issues of diffusion measurements. Finally, we describe examples of ways in which dMRI has been applied to studies of brain disorders and how identified alterations relate to symptomatology and cognition.
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15
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Elevated P3b latency variability in carriers of ZNF804A risk allele for psychosis. Neuroimage 2015; 116:207-13. [DOI: 10.1016/j.neuroimage.2015.04.024] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2015] [Revised: 03/23/2015] [Accepted: 04/10/2015] [Indexed: 12/21/2022] Open
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16
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Patel VS, Kelly S, Wright C, Gupta CN, Arias-Vasquez A, Perrone-Bizzozero N, Ehrlich S, Wang L, Bustillo JR, Morris D, Corvin A, Cannon DM, McDonald C, Donohoe G, Calhoun VD, Turner JA. MIR137HG risk variant rs1625579 genotype is related to corpus callosum volume in schizophrenia. Neurosci Lett 2015; 602:44-9. [PMID: 26123324 DOI: 10.1016/j.neulet.2015.06.039] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/01/2015] [Revised: 06/10/2015] [Accepted: 06/17/2015] [Indexed: 10/23/2022]
Abstract
Genome-wide association studies implicate the MIR137HG risk variant rs1625579 (MIR137HGrv) within the host gene for microRNA-137 as a potential regulator of schizophrenia susceptibility. We examined the influence of MIR137HGrv genotype on 17 subcortical and callosal volumes in a large sample of individuals with schizophrenia and healthy controls (n=841). Although the volumes were overall reduced relative to healthy controls, for individuals with schizophrenia the homozygous MIR137HGrv risk genotype was associated with attenuated reduction of mid-posterior corpus callosum volume (p=0.001), along with trend-level effects in the adjacent central and posterior corpus callosum. These findings are unique in the literature and remain robust after analysis in ethnically homogenous and single-scanner subsets of the larger sample. Thus, our study suggests that the mechanisms whereby MIR137HGrv works to increase schizophrenia risk are not those that generate the corpus callosum volume reductions commonly found in the disorder.
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Affiliation(s)
- Veena S Patel
- The Mind Research Network and Lovelace Respiratory Research Institute, 1101 Yale Blvd. NE, Albuquerque, NM 87106, USA.
| | - Sinead Kelly
- Neuropsychiatric Genetics Research Group, Department of Psychiatry, and Trinity College Institute for Neuroscience, Trinity College Dublin, Ireland.
| | - Carrie Wright
- The Mind Research Network and Lovelace Respiratory Research Institute, 1101 Yale Blvd. NE, Albuquerque, NM 87106, USA; Department of Neurosciences, University of New Mexico School of Medicine, Albuquerque, NM 87131, USA.
| | - Cota Navin Gupta
- The Mind Research Network and Lovelace Respiratory Research Institute, 1101 Yale Blvd. NE, Albuquerque, NM 87106, USA.
| | - Alejandro Arias-Vasquez
- Technische Universität Dresden, Faculty of Medicine, Department of Child and Adolescent Psychiatry, Translational Developmental Neuroscience Section, Fetscherstraße 74, 01307 Dresden, Germany.
| | - Nora Perrone-Bizzozero
- Department of Neurosciences, University of New Mexico School of Medicine, Albuquerque, NM 87131, USA; Department of Psychiatry, University of New Mexico School of Medicine, Albuquerque, NM 87131, USA.
| | - Stefan Ehrlich
- Technische Universität Dresden, Faculty of Medicine, Department of Child and Adolescent Psychiatry, Translational Developmental Neuroscience Section, Fetscherstraße 74, 01307 Dresden, Germany.
| | - Lei Wang
- Northwestern University Feinberg School of Medicine, Chicago, IL 60614, USA.
| | - Juan R Bustillo
- Department of Psychiatry, University of New Mexico School of Medicine, Albuquerque, NM 87131, USA.
| | - Derek Morris
- Neuropsychiatric Genetics Research Group, Department of Psychiatry, and Trinity College Institute for Neuroscience, Trinity College Dublin, Ireland; Clinical Neuroimaging Laboratory and Cognitive Genetics group, Departments of Psychiatry, Anatomy, Biochemistry and School of Psychology, National University of Ireland, Galway, Ireland.
| | - Aiden Corvin
- Neuropsychiatric Genetics Research Group, Department of Psychiatry, and Trinity College Institute for Neuroscience, Trinity College Dublin, Ireland.
| | - Dara M Cannon
- Clinical Neuroimaging Laboratory and Cognitive Genetics group, Departments of Psychiatry, Anatomy, Biochemistry and School of Psychology, National University of Ireland, Galway, Ireland.
| | - Colm McDonald
- Clinical Neuroimaging Laboratory and Cognitive Genetics group, Departments of Psychiatry, Anatomy, Biochemistry and School of Psychology, National University of Ireland, Galway, Ireland.
| | - Gary Donohoe
- Neuropsychiatric Genetics Research Group, Department of Psychiatry, and Trinity College Institute for Neuroscience, Trinity College Dublin, Ireland; Clinical Neuroimaging Laboratory and Cognitive Genetics group, Departments of Psychiatry, Anatomy, Biochemistry and School of Psychology, National University of Ireland, Galway, Ireland.
| | - Vince D Calhoun
- The Mind Research Network and Lovelace Respiratory Research Institute, 1101 Yale Blvd. NE, Albuquerque, NM 87106, USA; Department of Neurosciences, University of New Mexico School of Medicine, Albuquerque, NM 87131, USA; Department of Psychiatry, University of New Mexico School of Medicine, Albuquerque, NM 87131, USA; Departments of Electrical and Computer Engineering, University of New Mexico, Albuquerque, NM 87131, USA.
| | - Jessica A Turner
- The Mind Research Network and Lovelace Respiratory Research Institute, 1101 Yale Blvd. NE, Albuquerque, NM 87106, USA; Departments of Psychology and Neurosciences, Georgia State University, Atlanta, GA 30302, USA.
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17
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Peters BD, Karlsgodt KH. White matter development in the early stages of psychosis. Schizophr Res 2015; 161:61-9. [PMID: 24893908 PMCID: PMC4250450 DOI: 10.1016/j.schres.2014.05.021] [Citation(s) in RCA: 57] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/21/2014] [Revised: 05/06/2014] [Accepted: 05/09/2014] [Indexed: 12/19/2022]
Abstract
Schizophrenia has been conceptualized as a disorder of both neurodevelopment and a disorder of connectivity. One important aspect of the neurodevelopmental hypothesis is that schizophrenia is no longer thought to have discrete illness time points, but rather a long trajectory of brain changes, spanning many years, across a series of stages of the disease including the prodrome, first episode, and chronic period. As the disease progresses, there is a complex relationship between age related changes and disease related changes. Therefore, neural changes, and specifically white matter based connectivity changes, in schizophrenia may be best conceptualized based on a lifespan trajectory. In this selective review, we discuss healthy changes in white matter integrity that occur with age, as well as changes that occur across illness stages. We further propose a set of models that might explain lifespan changes in white matter integrity in schizophrenia, with the conclusion that the evidence most strongly supports a pattern of disrupted maturation during adolescence, with the potential for later changes that may be a result of disease neurotoxicity, abnormal or excessive aging effects, as well as medication, cohort or other effects. Thus, when considering white matter integrity in psychosis, it is critical to consider age in addition to other contributing factors including disease specific effects. Discovery of the factors driving healthy white matter development across the lifespan and deviations from the normal developmental trajectory may provide insights relevant to the discovery of early treatment interventions.
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Affiliation(s)
- Bart D. Peters
- Division of Psychiatry Research, Zucker Hillside Hospital, NorthShore-LIJ Health System, Glen Oaks, NY
| | - Katherine H. Karlsgodt
- Division of Psychiatry Research, Zucker Hillside Hospital, NorthShore-LIJ Health System, Glen Oaks, NY,Center for Psychiatric Neuroscience, The Feinstein Institute for Medical Research, Manhasset, NY,Department of Psychiatry, Hofstra NorthShore-LIJ School of Medicine, Hempstead, NY
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18
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Nenadic I, Maitra R, Basmanav FB, Schultz CC, Lorenz C, Schachtzabel C, Smesny S, Nöthen MM, Cichon S, Reichenbach JR, Sauer H, Schlösser RGM, Gaser C. ZNF804A genetic variation (rs1344706) affects brain grey but not white matter in schizophrenia and healthy subjects. Psychol Med 2015; 45:143-152. [PMID: 25065377 DOI: 10.1017/s0033291714001159] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/16/2023]
Abstract
BACKGROUND Genetic variation in the gene encoding ZNF804A, a risk gene for schizophrenia, has been shown to affect brain functional endophenotypes of the disorder, while studies of white matter structure have been inconclusive. METHOD We analysed effects of ZNF804A single nucleotide polymorphism rs1344706 on grey and white matter using voxel-based morphometry (VBM) in high-resolution T1-weighted magnetic resonance imaging scans of 62 schizophrenia patients and 54 matched healthy controls. RESULTS We found a significant (p < 0.05, family-wise error corrected for multiple comparisons) interaction effect of diagnostic group x genotype for local grey matter in the left orbitofrontal and right and left lateral temporal cortices, where patients and controls showed diverging effects of genotype. Analysing the groups separately (at p < 0.001, uncorrected), variation in rs1344706 showed effects on brain structure within the schizophrenia patients in several areas including the left and right inferior temporal, right supramarginal/superior temporal, right and left inferior frontal, left frontopolar, right and left dorsolateral/ventrolateral prefrontal cortices, and the right thalamus, as well as effects within the healthy controls in left lateral temporal, right anterior insula and left orbitofrontal cortical areas. We did not find effects of genotype of regional white matter in either of the two cohorts. CONCLUSIONS Our findings demonstrate effects of ZNF804A genetic variation on brain structure, with diverging regional effects in schizophrenia patients and healthy controls in frontal and temporal brain areas. These effects, however, might be dependent on the impact of other (genetic or non-genetic) disease factors.
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Affiliation(s)
- I Nenadic
- Department of Psychiatry and Psychotherapy,Jena University Hospital,Jena,Germany
| | - R Maitra
- Department of Psychiatry and Psychotherapy,Jena University Hospital,Jena,Germany
| | - F B Basmanav
- Institute of Human Genetics,University of Bonn,Bonn,Germany
| | - C C Schultz
- Department of Psychiatry and Psychotherapy,Jena University Hospital,Jena,Germany
| | - C Lorenz
- Department of Psychiatry and Psychotherapy,Jena University Hospital,Jena,Germany
| | - C Schachtzabel
- Department of Psychiatry and Psychotherapy,Jena University Hospital,Jena,Germany
| | - S Smesny
- Department of Psychiatry and Psychotherapy,Jena University Hospital,Jena,Germany
| | - M M Nöthen
- Institute of Human Genetics,University of Bonn,Bonn,Germany
| | - S Cichon
- Department of Genomics, Life and Brain Center,University of Bonn,Bonn,Germany
| | - J R Reichenbach
- Medical Physics Group, Institute for Diagnostic and Interventional Radiology I (IDIR I),Jena University Hospital,Germany
| | - H Sauer
- Department of Psychiatry and Psychotherapy,Jena University Hospital,Jena,Germany
| | - R G M Schlösser
- Department of Psychiatry and Psychotherapy,Jena University Hospital,Jena,Germany
| | - C Gaser
- Department of Psychiatry and Psychotherapy,Jena University Hospital,Jena,Germany
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