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Smith ES, Crawford TJ. Positive and Negative Symptoms Are Associated with Distinct Effects on Predictive Saccades. Brain Sci 2022; 12:brainsci12040418. [PMID: 35447950 PMCID: PMC9025332 DOI: 10.3390/brainsci12040418] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2022] [Revised: 03/10/2022] [Accepted: 03/19/2022] [Indexed: 02/05/2023] Open
Abstract
The predictive saccade task is a motor learning paradigm requiring saccades to track a visual target moving in a predictable pattern. Previous research has explored extensively anti-saccade deficits observed across psychosis, but less is known about predictive saccade-related mechanisms. The dataset analysed came from the studies of Crawford et al, published in 1995, where neuroleptically medicated schizophrenia and bipolar affective disorder patients were compared with non-medicated patients and control participants using a predictive saccade paradigm. The participant groups consisted of medicated schizophrenia patients (n = 40), non-medicated schizophrenia patients (n = 18), medicated bipolar disorder patients (n = 14), non-medicated bipolar disorder patients (n = 18), and controls (n = 31). The current analyses explore relationships between predictive saccades and symptomatology, and the potential interaction of medication. Analyses revealed that the schizophrenia and bipolar disorder diagnostic categories are indistinguishable in patterns of predictive control across several saccadic parameters, supporting a dimensional hypothesis. Once collapsed into predominantly high-/low- negative/positive symptoms, regardless of diagnosis, differences were revealed, with significant hypometria and lower gain in those with more negative symptoms. This illustrates how the presentation of the deficits is homogeneous across diagnosis, but heterogeneous when surveyed by symptomatology; attesting that a diagnostic label is less informative than symptomatology when exploring predictive saccades.
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Affiliation(s)
- Eleanor S. Smith
- Department of Psychology, University of Cambridge, Cambridge CB2 3EB, UK;
| | - Trevor J. Crawford
- Centre for Ageing Research, Department of Psychology, Lancaster University, Lancaster LA1 4YF, UK
- Correspondence:
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2
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Levchenko A, Nurgaliev T, Kanapin A, Samsonova A, Gainetdinov RR. Current challenges and possible future developments in personalized psychiatry with an emphasis on psychotic disorders. Heliyon 2020; 6:e03990. [PMID: 32462093 PMCID: PMC7240336 DOI: 10.1016/j.heliyon.2020.e03990] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2019] [Revised: 10/31/2019] [Accepted: 05/12/2020] [Indexed: 12/13/2022] Open
Abstract
A personalized medicine approach seems to be particularly applicable to psychiatry. Indeed, considering mental illness as deregulation, unique to each patient, of molecular pathways, governing the development and functioning of the brain, seems to be the most justified way to understand and treat disorders of this medical category. In order to extract correct information about the implicated molecular pathways, data can be drawn from sampling phenotypic and genetic biomarkers and then analyzed by a machine learning algorithm. This review describes current difficulties in the field of personalized psychiatry and gives several examples of possibly actionable biomarkers of psychotic and other psychiatric disorders, including several examples of genetic studies relevant to personalized psychiatry. Most of these biomarkers are not yet ready to be introduced in clinical practice. In a next step, a perspective on the path personalized psychiatry may take in the future is given, paying particular attention to machine learning algorithms that can be used with the goal of handling multidimensional datasets.
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Affiliation(s)
- Anastasia Levchenko
- Theodosius Dobzhansky Center for Genome Bioinformatics, Saint Petersburg State University, 7/9 Universitetskaya nab., Saint Petersburg, 199034, Russia
| | - Timur Nurgaliev
- Institute of Translational Biomedicine, Saint Petersburg State University, 7/9 Universitetskaya nab., Saint Petersburg, 199034, Russia
| | - Alexander Kanapin
- Theodosius Dobzhansky Center for Genome Bioinformatics, Saint Petersburg State University, 7/9 Universitetskaya nab., Saint Petersburg, 199034, Russia
| | - Anastasia Samsonova
- Theodosius Dobzhansky Center for Genome Bioinformatics, Saint Petersburg State University, 7/9 Universitetskaya nab., Saint Petersburg, 199034, Russia
| | - Raul R. Gainetdinov
- Institute of Translational Biomedicine, Saint Petersburg State University, 7/9 Universitetskaya nab., Saint Petersburg, 199034, Russia
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3
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Luo L, Li L, Guo M, Chen X, Lin Y, Wu D. Genetic variation in NRG 1 gene and risk of post-traumatic stress disorders in patients with hepatocellular carcinoma. J Clin Lab Anal 2020; 34:e23187. [PMID: 31944381 PMCID: PMC7246357 DOI: 10.1002/jcla.23187] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/18/2019] [Revised: 11/12/2019] [Accepted: 12/11/2019] [Indexed: 12/15/2022] Open
Abstract
Objective Neuregulin 1 (NRG1) was proved to play an important role in numerous neurodevelopmental processes. In our study, we aimed to investigate the relationship between the NRG1 gene polymorphism and the cognitive function of patients with hepatocellular carcinoma (HCC) complicated with post‐traumatic stress disorders (PTSD) before and after the psychological intervention. Methods Mini‐mental State Examination (MMSE), Montreal Cognitive Assessment (MoCA), and Loewenstein Occupational Therapy Cognitive Assessment (LOTCA) were used for cognitive function assessment. Serum level of NRG1 was detected by ELISA, and the correlation between NRG1 level and cognitive function was analyzed. The difference of cognitive function score of patients with HCC complicated with PTSD before and after psychological intervention was compared, and the relationship between rs35753505 and rs3924999 polymorphism with the score was analyzed. Results Patients with HCC complicated with PTSD showed decreased serum NRG1 level. NRG1 levels of patients in the HCC + PTSD group were positively correlated with MMSE, MoCA, and LOTCA scores. In rs35753505, the CC genotype was a risk factor for the occurrence of PTSD in patients with HCC, while in rs3924999, the GG genotype was a risk factor for the occurrence of PTSD in patients with HCC. After psychological intervention, the CC genotype at rs35753505 and the GG genotype at rs3924999 were susceptible genotypes. Conclusion CC genotype at rs35753505 and GG genotype at rs3924999 of NRG1 gene increased the risk of PTSD in patients with HCC. CC and GG genotypes were susceptible after psychological intervention.
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Affiliation(s)
- Liumei Luo
- Xiangya Nursing College, Central South University, Changsha, China.,Department of science and education, Hainan General Hospital, Haikou, China
| | - Li Li
- Department of nursing, Xiangya Medical College of Central South University, Changsha, China
| | - Min Guo
- Department of science and education, Hainan General Hospital, Haikou, China
| | - Xi Chen
- Xiangya Nursing College, Central South University, Changsha, China
| | - Yuzhu Lin
- Department of science and education, Hainan General Hospital, Haikou, China
| | - Dingyin Wu
- Department of science and education, Hainan General Hospital, Haikou, China
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4
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Kikuchi M, Miura K, Morita K, Yamamori H, Fujimoto M, Ikeda M, Yasuda Y, Nakaya A, Hashimoto R. Genome-wide Association Analysis of Eye Movement Dysfunction in Schizophrenia. Sci Rep 2018; 8:12347. [PMID: 30120336 PMCID: PMC6098030 DOI: 10.1038/s41598-018-30646-9] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2017] [Accepted: 08/03/2018] [Indexed: 01/07/2023] Open
Abstract
Eye movements are considered endophenotypes of schizophrenia. However, the genetic factors underlying eye movement are largely unknown. In this study, we explored the susceptibility loci for four eye movement scores: the scanpath length during the free viewing test (SPL), the horizontal position gain during the fast Lissajous paradigm of the smooth pursuit test (HPG), the duration of fixations during the far distractor paradigm of the fixation stability test (DF) and the integrated eye movement score of those three scores (EMS). We found 16 SNPs relevant to the HPG that were located in 3 genomic regions (1q21.3, 7p12.1 and 20q13.12) in the patient group; however, these SNPs were intronic or intergenic SNPs. To determine whether these SNPs occur in functional non-coding regions (i.e., enhancer or promoter regions), we examined the chromatin status on the basis of publicly available epigenomic data from 127 tissues or cell lines. This analysis suggested that the SNPs on 1q21.3 and 20q13.12 are in enhancer or promoter regions. Moreover, we performed an analysis of expression quantitative trait loci (eQTL) in human brain tissues using a public database. Finally, we identified significant eQTL effects for all of the SNPs at 1q21.3 and 20q13.12 in particular brain regions.
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Affiliation(s)
- Masataka Kikuchi
- Department of Genome Informatics, Graduate School of Medicine, Osaka University, Osaka, Japan
| | - Kenichiro Miura
- Department of Integrative Brain Science, Graduate School of Medicine, Kyoto University, Kyoto, Japan
| | - Kentaro Morita
- Department of Neuropsychiatry, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
| | - Hidenaga Yamamori
- Department of Psychiatry, Graduate School of Medicine, Osaka University, Osaka, Japan
| | - Michiko Fujimoto
- Department of Psychiatry, Graduate School of Medicine, Osaka University, Osaka, Japan
| | - Masashi Ikeda
- Department of Psychiatry, Fujita Health University School of Medicine, Aichi, Japan
| | - Yuka Yasuda
- Department of Psychiatry, Graduate School of Medicine, Osaka University, Osaka, Japan
| | - Akihiro Nakaya
- Department of Genome Informatics, Graduate School of Medicine, Osaka University, Osaka, Japan
| | - Ryota Hashimoto
- Department of Psychiatry, Graduate School of Medicine, Osaka University, Osaka, Japan.
- Molecular Research Center for Children's Mental Development, United Graduate School of Child Development, Osaka University, Osaka, Japan.
- Department of Pathology of Mental Diseases, National Institute of Mental Health, National Center of Neurology and Psychiatry, Tokyo, Japan.
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Lencer R, Mills LJ, Alliey-Rodriguez N, Shafee R, Lee AM, Reilly JL, Sprenger A, McDowell JE, McCarroll SA, Keshavan MS, Pearlson GD, Tamminga CA, Clementz BA, Gershon ES, Sweeney JA, Bishop JR. Genome-wide association studies of smooth pursuit and antisaccade eye movements in psychotic disorders: findings from the B-SNIP study. Transl Psychiatry 2017; 7:e1249. [PMID: 29064472 PMCID: PMC5682604 DOI: 10.1038/tp.2017.210] [Citation(s) in RCA: 23] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/10/2017] [Accepted: 07/14/2017] [Indexed: 02/07/2023] Open
Abstract
Eye movement deviations, particularly deficits of initial sensorimotor processing and sustained pursuit maintenance, and antisaccade inhibition errors, are established intermediate phenotypes for psychotic disorders. We here studied eye movement measures of 849 participants from the Bipolar-Schizophrenia Network on Intermediate Phenotypes (B-SNIP) study (schizophrenia N=230, schizoaffective disorder N=155, psychotic bipolar disorder N=206 and healthy controls N=258) as quantitative phenotypes in relation to genetic data, while controlling for genetically derived ancestry measures, age and sex. A mixed-modeling genome-wide association studies approach was used including ~4.4 million genotypes (PsychChip and 1000 Genomes imputation). Across participants, sensorimotor processing at pursuit initiation was significantly associated with a single nucleotide polymorphism in IPO8 (12p11.21, P=8 × 10-11), whereas suggestive associations with sustained pursuit maintenance were identified with SNPs in SH3GL2 (9p22.2, P=3 × 10-8). In participants of predominantly African ancestry, sensorimotor processing was also significantly associated with SNPs in PCDH12 (5q31.3, P=1.6 × 10-10), and suggestive associations were observed with NRSN1 (6p22.3, P=5.4 × 10-8) and LMO7 (13q22.2, P=7.3x10-8), whereas antisaccade error rate was significantly associated with a non-coding region at chromosome 7 (P=6.5 × 10-9). Exploratory pathway analyses revealed associations with nervous system development and function for 40 top genes with sensorimotor processing and pursuit maintenance (P=4.9 × 10-2-9.8 × 10-4). Our findings suggest novel patterns of genetic variation relevant for brain systems subserving eye movement control known to be impaired in psychotic disorders. They include genes involved in nuclear trafficking and gene silencing (IPO8), fast axonal guidance and synaptic specificity (PCDH12), transduction of nerve signals (NRSN1), retinal degeneration (LMO7), synaptic glutamate release (SH3GL2), and broader nervous system development and function.
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Affiliation(s)
- R Lencer
- Department of Psychiatry and Psychotherapy, Otto Creutzfeldt Center for Cognitive and Behavioral Neuroscience, University of Muenster, Muenster, Germany
| | - L J Mills
- Minnesota Supercomputing Institute, University of Minnesota, Minneapolis, MN, USA
| | - N Alliey-Rodriguez
- Department of Psychiatry and Behavioral Neuroscience, University of Chicago, Chicago, IL, USA
| | - R Shafee
- Department of Genetics, Harvard Medical School, Boston, MA, USA
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - A M Lee
- Department of Experimental and Clinical Pharmacology, College of Pharmacy, University of Minnesota, Minneapolis, MN, USA
| | - J L Reilly
- Department of Psychiatry and Behavioral Sciences, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - A Sprenger
- Department of Neurology, University of Luebeck, Luebeck, Germany
| | - J E McDowell
- Department of Psychology and Neuroscience, BioImaging Research Center, University of Georgia, Athens, GA, USA
| | - S A McCarroll
- Department of Genetics, Harvard Medical School, Boston, MA, USA
| | - M S Keshavan
- Department of Psychiatry, Harvard Medical School, Beth Israel Deacones Medical Center, Boston, MA, USA
| | - G D Pearlson
- Departments of Psychiatry and Neurobiology, Yale University School of Medicine, New Haven, CT, USA
- Institute of Living, Hartford Hospital, Hartford, CT, USA
| | - C A Tamminga
- Department of Psychiatry, University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - B A Clementz
- Department of Psychology and Neuroscience, BioImaging Research Center, University of Georgia, Athens, GA, USA
| | - E S Gershon
- Department of Psychiatry and Behavioral Neuroscience, University of Chicago, Chicago, IL, USA
| | - J A Sweeney
- Department of Psychiatry, University of Texas Southwestern Medical Center, Dallas, TX, USA
- Department of Psychiatry and Behavioral Neuroscience, University of Cincinnati, Cincinnati, OH, USA
| | - J R Bishop
- Department of Experimental and Clinical Pharmacology, College of Pharmacy, University of Minnesota, Minneapolis, MN, USA
- Department of Psychiatry, University of Minnesota College of Medicine, Minneapolis, MN, USA
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Zhang Z, Huang J, Shen Y, Li R. BACE1-Dependent Neuregulin-1 Signaling: An Implication for Schizophrenia. Front Mol Neurosci 2017; 10:302. [PMID: 28993723 PMCID: PMC5622153 DOI: 10.3389/fnmol.2017.00302] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2017] [Accepted: 09/07/2017] [Indexed: 12/13/2022] Open
Abstract
Schizophrenia is a chronic psychiatric disorder with a lifetime prevalence of about 1% in the general population. Recent studies have shown that Neuregulin-1 (Nrg1) is a candidate gene for schizophrenia. At least 15 alternative splicing of NRG1 isoforms all contain an extracellular epidermal growth factor (EGF)-like domain, which is sufficient for Nrg1 biological activity including the formation of myelin sheaths and the regulation of synaptic plasticity. It is known that Nrg1 can be cleaved by β-secretase (BACE1) and the resulting N-terminal fragment (Nrg1-ntf) binds to receptor tyrosine kinase ErbB4, which activates Nrg1/ErbB4 signaling. While changes in Nrg1 expression levels in schizophrenia still remain controversial, understanding the BACE1-cleaved Nrg1-ntf and Nrg1/ErbB4 signaling in schizophrenia neuropathogenesis is essential and important. In this review paper, we included three major parts: (1) Nrg1 structure and cleavage pattern by BACE1; (2) BACE1-dependent Nrg1 cleavage associated with schizophrenia in human studies; and (3) Animal studies of Nrg1 and BACE1 mutations with behavioral observations. Our review will provide a better understanding of Nrg1 in schizophrenia and a potential strategy for using BACE1 cleavage of Nrg1 as a unique biomarker for diagnosis, as well as a new therapeutic target, of schizophrenia.
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Affiliation(s)
- Zhengrong Zhang
- National Clinical Research Center for Mental Disorders, Beijing Key Laboratory of Mental Disorders, Beijing Anding Hospital, Capital Medical UniversityBeijing, China
| | - Jing Huang
- National Clinical Research Center for Mental Disorders, Beijing Key Laboratory of Mental Disorders, Beijing Anding Hospital, Capital Medical UniversityBeijing, China
| | - Yong Shen
- Neurodegenerative Disorder Research Center, School of Life Sciences, University of Science and Technology of ChinaHefei, China.,Center for Therapeutic Strategies for Brain Disorders, Roskamp Institute, SarasotaFL, United States.,Center for Hormone Advanced Science and Education, Roskamp Institute, SarasotaFL, United States
| | - Rena Li
- National Clinical Research Center for Mental Disorders, Beijing Key Laboratory of Mental Disorders, Beijing Anding Hospital, Capital Medical UniversityBeijing, China.,Center for Therapeutic Strategies for Brain Disorders, Roskamp Institute, SarasotaFL, United States.,Center for Hormone Advanced Science and Education, Roskamp Institute, SarasotaFL, United States.,Beijing Institute for Brain Disorders, Capital Medical UniversityBeijing, China
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7
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Ma Y, Li J, Yu H, Wang L, Lu T, Pan C, Han Y, Zhang D, Yue W. Association of chromosome 5q21.3 polymorphisms with the exploratory eye movement dysfunction in schizophrenia. Sci Rep 2015; 5:10299. [PMID: 26242244 PMCID: PMC4533163 DOI: 10.1038/srep10299] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2015] [Accepted: 04/07/2015] [Indexed: 11/09/2022] Open
Abstract
Schizophrenia patients show abnormalities in many eye movement tasks. Among them, exploratory eye movements (EEM) dysfunction seems to be specific to schizophrenia. However the mechanism of EEM disturbances in schizophrenia patients remains elusive. We investigate the relationship between EEM and single nucleotide polymorphisms (SNPs) or genes to identify susceptibility loci for EEM in schizophrenia. We firstly performed EEM test, then performed a genome-wide association study (GWAS) and gene-based association study of EEM in 128 individuals with schizophrenia and 143 healthy control subjects. Comparing to healthy controls, schizophrenia patients show significant decrease in NEF (22.99 ± 3.96 vs. 26.02 ± 5.72, P <0.001), TESL (368.78 ± 123.57 vs. 603.12 ± 178.63, P <0.001), MESL (16.86 ± 5.27 vs. 24.42 ± 6.46, P <0.001), RSS (8.22 ± 1.56 vs. 10.92 ± 1.09, P <0.001), and CSS (5.06 ± 0.97 vs. 6.64 ± 0.87, P <0.001). Five SNPs of the MAN2A1, at 5q21.3, were associated with EEM abnormalities (deceased CSS) and satisfied the criteria of GWAS significance threshold. One is localized near 5'-UTR (rs17450784) and four are in intron (rs1438663, rs17162094, rs6877440 and rs10067856) of the gene. Our findings suggest that the identified loci may control the schizophrenia-related quantitative EEM trait. And the identified gene, associated with the EEM phenotype, may lead to new insights into the etiology of schizophrenia.
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Affiliation(s)
- Yuanlin Ma
- 1] Institute of Mental Health, The Sixth Hospital, Peking University, Beijing 100191, China [2] Key Laboratory of Mental Health, Ministry of Health (Peking University), Beijing, 100191, China
| | - Jun Li
- 1] Institute of Mental Health, The Sixth Hospital, Peking University, Beijing 100191, China [2] Key Laboratory of Mental Health, Ministry of Health (Peking University), Beijing, 100191, China
| | - Hao Yu
- 1] Institute of Mental Health, The Sixth Hospital, Peking University, Beijing 100191, China [2] Key Laboratory of Mental Health, Ministry of Health (Peking University), Beijing, 100191, China [3] School of Life Sciences, Tsinghua University, Beijing 100084, China [4] Peking University-Tsinghua University Joint Center for Life Sciences, Beijing 100871, China
| | - Lifang Wang
- 1] Institute of Mental Health, The Sixth Hospital, Peking University, Beijing 100191, China [2] Key Laboratory of Mental Health, Ministry of Health (Peking University), Beijing, 100191, China
| | - Tianlan Lu
- 1] Institute of Mental Health, The Sixth Hospital, Peking University, Beijing 100191, China [2] Key Laboratory of Mental Health, Ministry of Health (Peking University), Beijing, 100191, China
| | - Chao Pan
- 1] Institute of Mental Health, The Sixth Hospital, Peking University, Beijing 100191, China [2] Key Laboratory of Mental Health, Ministry of Health (Peking University), Beijing, 100191, China
| | - Yonghua Han
- 1] Institute of Mental Health, The Sixth Hospital, Peking University, Beijing 100191, China [2] Key Laboratory of Mental Health, Ministry of Health (Peking University), Beijing, 100191, China
| | - Dai Zhang
- 1] Institute of Mental Health, The Sixth Hospital, Peking University, Beijing 100191, China [2] Key Laboratory of Mental Health, Ministry of Health (Peking University), Beijing, 100191, China [3] School of Life Sciences, Tsinghua University, Beijing 100084, China [4] Peking University-Tsinghua University Joint Center for Life Sciences, Beijing 100871, China [5] PKU-IDG/McGovern Institute for Brain Research, Peking University, Beijing, China
| | - Weihua Yue
- 1] Institute of Mental Health, The Sixth Hospital, Peking University, Beijing 100191, China [2] Key Laboratory of Mental Health, Ministry of Health (Peking University), Beijing, 100191, China
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8
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Mei L, Nave KA. Neuregulin-ERBB signaling in the nervous system and neuropsychiatric diseases. Neuron 2014; 83:27-49. [PMID: 24991953 DOI: 10.1016/j.neuron.2014.06.007] [Citation(s) in RCA: 409] [Impact Index Per Article: 40.9] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
Neuregulins (NRGs) comprise a large family of growth factors that stimulate ERBB receptor tyrosine kinases. NRGs and their receptors, ERBBs, have been identified as susceptibility genes for diseases such as schizophrenia (SZ) and bipolar disorder. Recent studies have revealed complex Nrg/Erbb signaling networks that regulate the assembly of neural circuitry, myelination, neurotransmission, and synaptic plasticity. Evidence indicates there is an optimal level of NRG/ERBB signaling in the brain and deviation from it impairs brain functions. NRGs/ERBBs and downstream signaling pathways may provide therapeutic targets for specific neuropsychiatric symptoms.
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Affiliation(s)
- Lin Mei
- Department of Neuroscience and Regenerative Medicine, Medical College of Georgia, Georgia Regents University, Augusta, GA 30912, USA; Department of Neurology, Medical College of Georgia, Georgia Regents University, Augusta, GA 30912, USA; Charlie Norwood VA Medical Center, Augusta, GA 30904, USA.
| | - Klaus-Armin Nave
- Department of Neurogenetics, Max Planck Institute of Experimental Medicine, 37075 Goettingen, Germany.
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9
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Güell F. Pre-dispositional constitution and plastic disposition: toward a more adequate descriptive framework for the notions of habits, learning and plasticity. Front Hum Neurosci 2014; 8:341. [PMID: 24904379 PMCID: PMC4034147 DOI: 10.3389/fnhum.2014.00341] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/26/2014] [Accepted: 05/05/2014] [Indexed: 01/23/2023] Open
Affiliation(s)
- Francisco Güell
- Mind-Brain Group, Institute for Culture and Society, Universidad de Navarra Pamplona, Spain
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10
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Kiran Kumar HB, Castellani C, Maiti S, O'Reilly R, Singh SM. Search for missing schizophrenia genes will require a new developmental neurogenomic perspective. J Genet 2013; 92:335-40. [PMID: 23970094 DOI: 10.1007/s12041-013-0262-y] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/06/2023]
Abstract
Even the most powerful experimental designs in search of genetic causes of schizophrenia have not met the desired goal. It is imperative to review the reasons for such an outcome and to formulate novel strategies for the future direction of this research in the new era of individual genomes. Here, we will review aspects of neurodevelopmental hypothesis of schizophrenia in the light of novel genomic and epigenomic insights. Specifically, we will argue for the involvement of de novo mutations and epigenetic modifications during neurodevelopment that may result in schizophrenia. Our conclusion is that the successful elucidation of hereditary mechanisms in neuropsychiatric disorders must begin with attention to discrete endophenotypes; consideration of ontogeny, forethought of genome structure including temporal and spatial patterns of (epi) mutations and the use of judicious techniques that go beyond association studies.
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Affiliation(s)
- H B Kiran Kumar
- Molecular Genetics Unit, Department of Biology and Psychiatry, University of Western Ontario, London, Ontario, Canada N6A 5B7
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Schizophrenia-associated HapICE haplotype is associated with increased NRG1 type III expression and high nucleotide diversity. Transl Psychiatry 2012; 2:e104. [PMID: 22832904 PMCID: PMC3337073 DOI: 10.1038/tp.2012.25] [Citation(s) in RCA: 63] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/28/2023] Open
Abstract
Excitement and controversy have followed neuregulin (NRG1) since its discovery as a putative schizophrenia susceptibility gene; however, the mechanism of action of the associated risk haplotype (HapICE) has not been identified, and specific genetic variations, which may increase risk to schizophrenia have remained elusive. Using a postmortem brain cohort from 37 schizophrenia cases and 37 controls, we resequenced upstream of the type I-IV promoters, and the HapICE repeat regions in intron 1. Relative abundance of seven NRG1 mRNA transcripts in the prefrontal cortex were determined and compared across diagnostic and genotypic groups. We identified 26 novel DNA variants and showed an increased novel variant load in cases compared with controls (χ(2)=7.815; P=0.05). The average nucleotide diversity (θ = 10.0 × 10(-4)) was approximately twofold higher than that previously reported for BDNF, indicating that NRG1 may be particularly prone to genetic change. A greater nucleotide diversity was observed in the HapICE linkage disequilibrium block in schizophrenia cases (θ((case)) = 13.2 × 10(-4); θ((control)) = 10.0 × 10(-4)). The specific HapICE risk haplotype was associated with increased type III mRNA (F = 3.76, P = 0.028), which in turn, was correlated with an earlier age of onset (r = -0.343, P = 0.038). We found a novel intronic five-SNP haplotype ~730 kb upstream of the type I promoter and determined that this region functions as transcriptional enhancer that is suppressed by SRY. We propose that the HapICE risk haplotype increases expression of the most brain-abundant form of NRG1, which in turn, elicits an earlier clinical presentation, thus providing a novel mechanism through which this genetic association may increase risk of schizophrenia.
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