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Liang L, Heinrichs RW, Liddle PF, Jeon P, Théberge J, Palaniyappan L. Cortical impoverishment in a stable subgroup of schizophrenia: Validation across various stages of psychosis. Schizophr Res 2024; 264:567-577. [PMID: 35644706 DOI: 10.1016/j.schres.2022.05.013] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/01/2022] [Revised: 05/09/2022] [Accepted: 05/16/2022] [Indexed: 10/18/2022]
Abstract
BACKGROUND Cortical thinning is a well-known feature in schizophrenia. The considerable variation in the spatial distribution of thickness changes has been used to parse heterogeneity. A 'cortical impoverishment' subgroup with a generalized reduction in thickness has been reported. However, it is unclear if this subgroup is recoverable irrespective of illness stage, and if it relates to the glutamate hypothesis of schizophrenia. METHODS We applied hierarchical cluster analysis to cortical thickness data from magnetic resonance imaging scans of three datasets in different stages of psychosis (n = 288; 160 patients; 128 healthy controls) and studied the cognitive and symptom profiles of the observed subgroups. In one of the samples, we also studied the subgroup differences in 7-Tesla magnetic resonance spectroscopy glutamate concentration in the dorsal anterior cingulate cortex. RESULTS Our consensus-based clustering procedure consistently produced 2 subgroups of participants. Patients accounted for 75%-100% of participants in one subgroup that was characterized by significantly lower cortical thickness. Both subgroups were equally symptomatic in clinically unstable stages, but cortical impoverishment indicated a higher symptom burden in a clinically stable sample and higher glutamate levels in the first-episode sample. There were no subgroup differences in cognitive and functional outcome profiles or antipsychotic exposure across all stages. CONCLUSIONS Cortical thinning does not vary with functioning or cognitive impairment, but it is more prevalent among patients, especially those with glutamate excess in early stages and higher residual symptom burden at later stages, providing an important mechanistic clue to one of the several possible pathways to the illness.
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Affiliation(s)
- Liangbing Liang
- Graduate Program in Neuroscience, Western University, London, Ontario, Canada; Robarts Research Institute, Western University, London, Ontario, Canada
| | | | - Peter F Liddle
- Institute of Mental Health, Division of Mental Health and Clinical Neuroscience, University of Nottingham, Nottingham, UK
| | - Peter Jeon
- Department of Medical Biophysics, Western University, London, Ontario, Canada
| | - Jean Théberge
- Department of Medical Biophysics, Western University, London, Ontario, Canada; Department of Psychiatry, Western University, London, Ontario, Canada; Lawson Health Research Institute, London, Ontario, Canada
| | - Lena Palaniyappan
- Robarts Research Institute, Western University, London, Ontario, Canada; Department of Medical Biophysics, Western University, London, Ontario, Canada; Department of Psychiatry, Western University, London, Ontario, Canada; Lawson Health Research Institute, London, Ontario, Canada; Douglas Mental Health University Institute, Department of Psychiatry, McGill University, Montreal, Quebec, Canada.
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2
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Murtas G, Pollegioni L, Molla G, Sacchi S. Biochemical Properties and Physiological Functions of pLG72: Twenty Years of Investigations. Biomolecules 2022; 12:biom12060858. [PMID: 35740983 PMCID: PMC9220908 DOI: 10.3390/biom12060858] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2022] [Revised: 06/13/2022] [Accepted: 06/18/2022] [Indexed: 11/16/2022] Open
Abstract
In 2002, the novel human gene G72 was associated with schizophrenia susceptibility. This gene encodes a small protein of 153 amino acids, named pLG72, which represents a rare case of primate-specific protein. In particular, the rs2391191 single nucleotide polymorphism (resulting in in the R30K substitution) was robustly associated to schizophrenia and bipolar disorder. In this review, we aim to summarize the results of 20 years of biochemical investigations on pLG72. The main known role of pLG72 is related to its ability to bind and inactivate the flavoenzyme d-amino acid oxidase, i.e., the enzyme that controls the catabolism of d-serine, the main NMDA receptor coagonist in the brain. pLG72 was proposed to target the cytosolic form of d-amino acid oxidase for degradation, preserving d-serine and protecting the cell from oxidative stress generated by hydrogen peroxide produced by the flavoenzyme reaction. Anyway, pLG72 seems to play additional roles, such as affecting mitochondrial functions. The level of pLG72 in the human body is still a controversial issue because of its low expression and challenging detection. Anyway, the intriguing hypothesis that pLG72 level in blood could represent a suitable marker of Alzheimer’s disease progression (a suggestion not sufficiently established yet) merits further investigations.
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d-Amino Acids and pLG72 in Alzheimer's Disease and Schizophrenia. Int J Mol Sci 2021; 22:ijms222010917. [PMID: 34681579 PMCID: PMC8535920 DOI: 10.3390/ijms222010917] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2021] [Revised: 10/01/2021] [Accepted: 10/06/2021] [Indexed: 01/02/2023] Open
Abstract
Numerous studies over the last several years have shown that d-amino acids, especially d-serine, have been related to brain and neurological disorders. Acknowledged neurological functions of d-amino acids include neurotransmission and learning and memory functions through modulating N-methyl-d-aspartate type glutamate receptors (NMDARs). Aberrant d-amino acids level and polymorphisms of genes related to d-amino acids metabolism are associated with neurodegenerative brain conditions. This review summarizes the roles of d-amino acids and pLG72, also known as d-amino acid oxidase activator, on two neurodegenerative disorders, schizophrenia and Alzheimer’s disease (AD). The scope includes the changes in d-amino acids levels, gene polymorphisms of G72 genomics, and the role of pLG72 on NMDARs and mitochondria in schizophrenia and AD. The clinical diagnostic value of d-amino acids and pLG72 and the therapeutic importance are also reviewed.
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4
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Su W, Zhu T, Xu L, Wei Y, Zeng B, Zhang T, Cui H, Wang J, Jia Y, Wang J, Goff DC, Tang Y, Wang J. Effect of DAOA genetic variation on white matter alteration in corpus callosum in patients with first-episode schizophrenia. Brain Imaging Behav 2020; 15:1748-1759. [PMID: 32748316 DOI: 10.1007/s11682-020-00368-6] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Abstract
D-amino acid oxidase activator (DAOA) gene, which plays a crucial role in the process of glutamatergic transmission and mitochondrial function, is frequently linked with the liability for schizophrenia. We aimed to investigate whether the variation of DAOA rs2391191 is associated with alterations in white matter integrity of first-episode schizophrenia (FES) patients; and whether it influences the association between white matter integrity, cognitive function and clinical symptoms of schizophrenia. Forty-six patients with FES and forty-nine healthy controls underwent DTI and were genotyped for DAOA rs2391191. Psychopathological assessments were performed by Brief Psychiatric Rating Scale (BPRS) and Scale for Assessment of Negative Symptoms (SANS). Cognitive function was assessed by MATRICS Consensus Cognitive Battery (MCCB). Schizophrenia patients presented lower fractional anisotropy (FA) and higher radial diffusivity (RD), mainly spreading over the corpus callosum and corona radiata compared with healthy controls. Compared with patients carrying G allele, patients with AA showed lower FA in the body of corpus callosum, and higher RD in the genu of corpus callosum, right superior and anterior corona radiata, and left posterior corona radiata. In patients carrying G allele, FA in body of corpus callosum was positively correlated with working memory, RD in genu of corpus callosum was negatively associated with the speed of processing, working memory, and the composite score of MCCB, while no significant correlations were found in AA homozygotes. In our study, patients with FES presented abnormal white matter integrity in corpus callosum and corona radiata. Furthermore, this abnormality was associated with the genetic variation of DAOA rs2391191, with AA homozygotes showing less white matter integrity in the corpus callosum. Our findings possibly provide further support to the evidence that DAOA regulates the process of glutamatergic neurotransmission and mitochondrial function in the pathophysiological mechanism of schizophrenia.
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Affiliation(s)
- Wenjun Su
- Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, 200030, China
| | - Tianyuan Zhu
- Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, 200030, China
| | - Lihua Xu
- Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, 200030, China
| | - Yanyan Wei
- Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, 200030, China
| | - Botao Zeng
- Department of Psychiatry, Qingdao Mental Health Center, Qingdao, 266034, China
| | - Tianhong Zhang
- Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, 200030, China
| | - Huiru Cui
- Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, 200030, China
| | - Junjie Wang
- Institute of Mental Health, Suzhou Psychiatric Hospital, The Affiliated Guangji Hospital of Soochow University, Suzhou, 215137, Jiangsu, China
| | - Yuping Jia
- Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, 200030, China
| | - Jinhong Wang
- Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, 200030, China
| | - Donald C Goff
- Department of Psychiatry, New York University Langone Medical Center, New York, NY, 10016, USA
| | - Yingying Tang
- Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, 200030, China.
| | - Jijun Wang
- Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, 200030, China. .,CAS Center for Excellence in Brain Science and Intelligence Technology (CEBSIT), Chinese Academy of Science, Beijing, China. .,Institute of Psychology and Behavioral Science, Shanghai Jiao Tong University, Shanghai, China.
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Soler J, Miret S, Lázaro L, Parellada M, Martín M, Lera-Miguel S, Rosa A, de Castro-Catala M, Cuesta M, Fañanás L, Krebs M, Fatjó-Vilas M. Influence of DAOA and RGS4 genes on the risk for psychotic disorders and their associated executive dysfunctions: A family-based study. Eur Psychiatry 2020; 32:42-7. [DOI: 10.1016/j.eurpsy.2015.11.002] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/20/2015] [Revised: 11/18/2015] [Accepted: 11/21/2015] [Indexed: 12/22/2022] Open
Abstract
AbstractBackgroundGlutamatergic neurotransmission dysfunction has classically been related to the aetiology of psychotic disorders. A substantial polygenic component shared across these disorders has been reported and molecular genetics studies have associated glutamatergic-related genes, such as d-amino acid oxidase activator (DAOA) and regulator of G-protein signalling 4 (RGS4) with the risk for psychotic disorders. Our aims were to examine: (i) the relationship between DAOA and RGS4 and the risk for psychotic disorders using a family-based association approach, and (ii) whether variations in these genes are associated with differences in patients’ cognitive performance.MethodsThe sample comprised 753 subjects (222 patients with psychotic disorders and 531 first-degree relatives). Six SNPs in DAOA and 5 SNPs in RGS4 were genotyped. Executive cognitive performance was assessed with Trail Making Test B (TMT-B) and Wisconsin Card Sorting Test (WCST). Genetic association analyses were conducted with PLINK, using the transmission disequilibrium test (TDT) for the family-based study and linear regression for cognitive performance analyses.ResultsThe haplotype GAGACT at DAOA was under-transmitted to patients (P = 0.0008), indicating its association with these disorders. With regards to cognitive performance, the DAOA haplotype GAGGCT was associated with worse scores in TMT-B (P = 0.018) in SZ patients only. RGS4 analyses did not report significant results.ConclusionsOur findings suggest that the DAOA gene may contribute to the risk for psychotic disorders and that this gene may play a role as a modulator of executive function, probably through the dysregulation of the glutamatergic signalling.
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Rohleder C, Koethe D, Fritze S, Topor CE, Leweke FM, Hirjak D. Neural correlates of binocular depth inversion illusion in antipsychotic-naïve first-episode schizophrenia patients. Eur Arch Psychiatry Clin Neurosci 2019; 269:897-910. [PMID: 29556734 DOI: 10.1007/s00406-018-0886-2] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/27/2017] [Accepted: 03/13/2018] [Indexed: 12/26/2022]
Abstract
OBJECTIVES Binocular depth inversion illusion (BDII), a visual, 'top-down'-driven information process, is impaired in schizophrenia and particularly in its early stages. BDII is a sensitive measure of impaired visual information processing and represents a valid diagnostic tool for schizophrenia and other psychotic disorders. However, neurobiological underpinnings of aberrant BDII in first-episode schizophrenia are largely unknown at present. METHODS In this study, 22 right-handed, first-episode, antipsychotic-naïve schizophrenia patients underwent BDII assessment and MRI scanning at 1.5 T. The surface-based analysis via new version of Freesurfer (6.0) enabled calculation of cortical thickness and surface area. BDII total and faces scores were related to the two distinct cortical measurements. RESULTS We found a significant correlation between BDII performance and cortical thickness in the inferior frontal gyrus and middle temporal gyrus (p < 0.003, Bonferroni corr.), as well as superior parietal gyrus, postcentral gyrus, supramarginal gyrus, and precentral gyrus (p < 0.05, CWP corr.), respectively. BDII performance was significantly correlated with surface area in the superior parietal gyrus and right postcentral gyrus (p < 0.003, Bonferroni corr.). CONCLUSION BDII performance may be linked to cortical thickness and surface area variations in regions involved in "adaptive" or "top-down" modulation and stimulus processing, i.e., frontal and parietal lobes. Our results suggest that cortical features of distinct evolutionary and genetic origin differently contribute to BDII performance in first-episode, antipsychotic-naïve schizophrenia patients.
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Affiliation(s)
- Cathrin Rohleder
- Department of Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, 68159, Mannheim, Germany.,Institute of Radiochemistry and Experimental Molecular Imaging, University Hospital of Cologne, Cologne, Germany
| | - Dagmar Koethe
- Department of Psychosomatic Medicine and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany.,Brain and Mind Centre, University of Sydney, Sydney, Australia
| | - Stefan Fritze
- Department of Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, 68159, Mannheim, Germany
| | - Cristina E Topor
- Department of Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, 68159, Mannheim, Germany
| | - F Markus Leweke
- Department of Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, 68159, Mannheim, Germany.,Brain and Mind Centre, University of Sydney, Sydney, Australia
| | - Dusan Hirjak
- Department of Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, 68159, Mannheim, Germany.
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Sullivan DR, Morrison FG, Wolf EJ, Logue MW, Fortier CB, Salat DH, Fonda JR, Stone A, Schichman S, Milberg W, McGlinchey R, Miller MW. The PPM1F gene moderates the association between PTSD and cortical thickness. J Affect Disord 2019; 259:201-209. [PMID: 31446381 PMCID: PMC6791735 DOI: 10.1016/j.jad.2019.08.055] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/13/2019] [Revised: 06/21/2019] [Accepted: 08/18/2019] [Indexed: 12/12/2022]
Abstract
BACKGROUND Evidence suggests that single nucleotide polymorphisms (SNPs) in genes involved in serotonergic signaling and stress response pathways moderate associations between PTSD and cortical thickness. This study examined a genetic regulator of these pathways, the PPM1F gene, which has also been implicated in mechanisms of stress responding and is differentially expressed in individuals with comorbid PTSD and depression compared to controls. METHODS Drawing from a sample of 240 white non-Hispanic trauma-exposed veterans, we tested 18 SNPs spanning the PPM1F gene for association with PTSD and cortical thickness. RESULTS Analyses revealed six PPM1F SNPs that moderated associations between PTSD symptom severity and cortical thickness of bilateral superior frontal and orbitofrontal regions as well as the right pars triangularis (all corrected p's < 0.05) such that greater PTSD severity was related to reduced cortical thickness as a function of genotype. A whole-cortex vertex-wise analysis using the most associated SNP (rs9610608) revealed this effect to be localized to a cluster in the right superior frontal gyrus (cluster-corrected p < 0.02). LIMITATIONS Limitations of this study include the small sample size and that the sample was all-white, non-Hispanic predominately male veterans. CONCLUSIONS These results extend prior work linking PPM1F to PTSD and suggest that variants in this gene may have bearing on the neural integrity of the prefrontal cortex (PFC).
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Affiliation(s)
- Danielle R. Sullivan
- National Center for PTSD, VA Boston Healthcare System, Boston, MA, USA,Department of Psychiatry, Boston University School of Medicine, Boston, MA, USA
| | - Filomene G. Morrison
- National Center for PTSD, VA Boston Healthcare System, Boston, MA, USA,Department of Psychiatry, Boston University School of Medicine, Boston, MA, USA
| | - Erika J. Wolf
- National Center for PTSD, VA Boston Healthcare System, Boston, MA, USA,Department of Psychiatry, Boston University School of Medicine, Boston, MA, USA
| | - Mark W. Logue
- National Center for PTSD, VA Boston Healthcare System, Boston, MA, USA,Biomedical Genetics, Boston University School of Medicine, Boston, MA, USA,Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
| | - Catherine B. Fortier
- Translational Research Center for TBI and Stress Disorders (TRACTS) and Geriatric Research, Educational and Clinical Center (GRECC), VA Boston Healthcare System, Boston, MA, USA,Department of Psychiatry, Harvard Medical School, Boston, MA, USA
| | - David H. Salat
- Translational Research Center for TBI and Stress Disorders (TRACTS) and Geriatric Research, Educational and Clinical Center (GRECC), VA Boston Healthcare System, Boston, MA, USA,Neuroimaging Research for Veterans Center, VA Boston Healthcare System, Boston, MA, USA,Anthinoula A. Martinos Center for Biomedical Imaging, Charlestown, MA, USA
| | - Jennifer R. Fonda
- Department of Psychiatry, Boston University School of Medicine, Boston, MA, USA,Translational Research Center for TBI and Stress Disorders (TRACTS) and Geriatric Research, Educational and Clinical Center (GRECC), VA Boston Healthcare System, Boston, MA, USA,Department of Psychiatry, Harvard Medical School, Boston, MA, USA
| | - Annjanette Stone
- Pharmacogenomics Analysis Laboratory, Research Service, Central Arkansas Veterans Healthcare System, Little Rock, AK, USA
| | - Steven Schichman
- Pharmacogenomics Analysis Laboratory, Research Service, Central Arkansas Veterans Healthcare System, Little Rock, AK, USA
| | - William Milberg
- Translational Research Center for TBI and Stress Disorders (TRACTS) and Geriatric Research, Educational and Clinical Center (GRECC), VA Boston Healthcare System, Boston, MA, USA,Department of Psychiatry, Harvard Medical School, Boston, MA, USA
| | - Regina McGlinchey
- Translational Research Center for TBI and Stress Disorders (TRACTS) and Geriatric Research, Educational and Clinical Center (GRECC), VA Boston Healthcare System, Boston, MA, USA,Department of Psychiatry, Harvard Medical School, Boston, MA, USA
| | - Mark W. Miller
- National Center for PTSD, VA Boston Healthcare System, Boston, MA, USA,Department of Psychiatry, Boston University School of Medicine, Boston, MA, USA
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Hirjak D, Kubera KM, Northoff G, Fritze S, Bertolino AL, Topor CE, Schmitgen MM, Wolf RC. Cortical Contributions to Distinct Symptom Dimensions of Catatonia. Schizophr Bull 2019; 45:1184-1194. [PMID: 30753720 PMCID: PMC6811823 DOI: 10.1093/schbul/sby192] [Citation(s) in RCA: 46] [Impact Index Per Article: 9.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/06/2023]
Abstract
Catatonia is a central aspect of schizophrenia spectrum disorders (SSD) and most likely associated with abnormalities in affective, motor, and sensorimotor brain regions. However, contributions of different cortical features to the pathophysiology of catatonia in SSD are poorly understood. Here, T1-weighted structural magnetic resonance imaging data at 3 T were obtained from 56 right-handed patients with SSD. Using FreeSurfer version 6.0, we calculated cortical thickness, area, and local gyrification index (LGI). Catatonic symptoms were examined on the Northoff catatonia rating scale (NCRS). Patients with catatonia (NCRS total score ≥3; n = 25) showed reduced surface area in the parietal and medial orbitofrontal gyrus and LGI in the temporal gyrus (P < .05, corrected for cluster-wise probability [CWP]) as well as hypergyrification in rostral cingulate and medial orbitofrontal gyrus when compared with patients without catatonia (n = 22; P < .05, corrected for CWP). Following a dimensional approach, a negative association between NCRS motor and behavior scores and cortical thickness in superior frontal, insular, and precentral cortex was found (34 patients with at least 1 motor and at least 1 other affective or behavioral symptom; P < .05, corrected for CWP). Positive associations were found between NCRS motor and behavior scores and surface area and LGI in superior frontal, posterior cingulate, precentral, and pericalcarine gyrus (P < .05, corrected for CWP). The data support the notion that cortical features of distinct evolutionary and genetic origin differently contribute to catatonia in SSD. Catatonia in SSD may be essentially driven by cortex variations in frontoparietal regions including regions implicated in the coordination and goal-orientation of behavior.
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Affiliation(s)
- Dusan Hirjak
- Department of Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany,To whom correspondence should be addressed; tel: 49-621-1703-0, fax: 0049-621-1703-2305, e-mail:
| | - Katharina M Kubera
- Center for Psychosocial Medicine, Department of General Psychiatry, University of Heidelberg, Heidelberg, Germany
| | - Georg Northoff
- Mind, Brain Imaging and Neuroethics Research Unit, The Royal’s Institute of Mental Health Research, University of Ottawa, Ottawa, ON, Canada
| | - Stefan Fritze
- Department of Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany
| | - Alina L Bertolino
- Department of Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany
| | - Cristina E Topor
- Department of Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany
| | - Mike M Schmitgen
- Center for Psychosocial Medicine, Department of General Psychiatry, University of Heidelberg, Heidelberg, Germany
| | - Robert C Wolf
- Center for Psychosocial Medicine, Department of General Psychiatry, University of Heidelberg, Heidelberg, Germany
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Kubera KM, Schmitgen MM, Maier-Hein KH, Thomann PA, Hirjak D, Wolf RC. Differential contributions of cortical thickness and surface area to trait impulsivity in healthy young adults. Behav Brain Res 2018; 350:65-71. [DOI: 10.1016/j.bbr.2018.05.006] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2018] [Revised: 04/26/2018] [Accepted: 05/07/2018] [Indexed: 01/21/2023]
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10
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Hu G, Yang C, Zhao L, Fan Y, Lv Q, Zhao J, Zhu M, Guo X, Bao C, Xu A, Jie Y, Jiang Y, Zhang C, Yu S, Wang Z, Li Z, Yi Z. The interaction of NOS1AP, DISC1, DAOA, and GSK3B confers susceptibility of early-onset schizophrenia in Chinese Han population. Prog Neuropsychopharmacol Biol Psychiatry 2018; 81:187-193. [PMID: 29100974 DOI: 10.1016/j.pnpbp.2017.10.017] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/12/2017] [Accepted: 10/24/2017] [Indexed: 01/12/2023]
Abstract
Although many major breakthrough had identificated potential susceptibility genes for schizophrenia, the aetiology of schizophrenia is still unknown. In the present study, we focused on the N-methyl-Daspartate receptors related genes nitric oxide synthase 1 adaptor gene (NOS1AP), disrupted in schizophrenia 1 gene (DISC1), d-amino acid oxidase activator gene (DAOA), and glycogen synthase kinase 3-beta gene (GSK3B). A family-based genetic association study (459 Han Chinese subjects in 153 nuclear families) using 3 single nucleotide polymorphisms in NOS1AP, 2 in DISC1, 1 in DAOA and 1 in GSK3B was conducted. We found rs12742393 have just positive trend with schizophrenia (SCZ) (p=0.07) after FDR correction. NOS1AP mRNA and serum levels were significantly elevated in SCZ patients (p<0.001; p<0.001) compared with healthy control. However, expression Quantitative Trait Loci (eQTL) analysis have demonstrated that rs12742393 genotype were not significantly associated with the NOS1AP mRNA expression. GMDR identified a significant seven-locus interaction model involving (NOS1AP-rs348624, rs12742393, rs1415263, DISC1-rs821633, rs1000731, DAOA-rs2391191and GSK3B- rs6438552) with a good testing accuracy (0.72). Our finding suggested statistically significant role of interaction of NOS1AP, DISC1, DAOA, and GSK3B polymorphisms (NOS1AP-rs348624, rs12742393, rs1415263, DISC1-rs821633, rs1000731, DAOA-rs2391191and GSK3B-rs6438552) in EOS susceptibility.
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Affiliation(s)
- Guoqin Hu
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, 600 Wan Ping Nan Road, Shanghai 200030, China; HuangpuDistrictMental Health Center, 1162 Qu Xi Road, Shanghai 200023, China
| | - Chengqing Yang
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, 600 Wan Ping Nan Road, Shanghai 200030, China
| | - Lei Zhao
- Department of Psychiatry, Qingdao Mental Health Center, 299 Nanjing Road, Qingdao, Shandong 266034, China
| | - Yong Fan
- Department of Psychiatry, Qingdao Mental Health Center, 299 Nanjing Road, Qingdao, Shandong 266034, China
| | - Qinyu Lv
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, 600 Wan Ping Nan Road, Shanghai 200030, China
| | - Jing Zhao
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, 600 Wan Ping Nan Road, Shanghai 200030, China
| | - Minghuan Zhu
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, 600 Wan Ping Nan Road, Shanghai 200030, China
| | - Xiangqing Guo
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, 600 Wan Ping Nan Road, Shanghai 200030, China
| | - Chenxi Bao
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, 600 Wan Ping Nan Road, Shanghai 200030, China
| | - Ahong Xu
- Department of Psychiatry, Qingdao Mental Health Center, 299 Nanjing Road, Qingdao, Shandong 266034, China
| | - Yong Jie
- Department of Psychiatry, Hongkou District Mental Health Center, 159 Tong Xing Road, Shanghai 200083, China
| | - Yaqing Jiang
- Department of Psychiatry, Hongkou District Mental Health Center, 159 Tong Xing Road, Shanghai 200083, China
| | - Chen Zhang
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, 600 Wan Ping Nan Road, Shanghai 200030, China
| | - Shunying Yu
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, 600 Wan Ping Nan Road, Shanghai 200030, China
| | - Zuowei Wang
- Department of Psychiatry, Hongkou District Mental Health Center, 159 Tong Xing Road, Shanghai 200083, China.
| | - Zezhi Li
- Department of Neurology, Ren Ji Hospital, Shanghai Jiao Tong University School of Medicine, 160 Pu Jian Road, Shanghai 200127, China.
| | - Zhenghui Yi
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, 600 Wan Ping Nan Road, Shanghai 200030, China.
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11
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Cortical folding abnormalities in patients with schizophrenia who have persistent auditory verbal hallucinations. Eur Neuropsychopharmacol 2018; 28:297-306. [PMID: 29305294 DOI: 10.1016/j.euroneuro.2017.12.009] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/18/2017] [Revised: 11/28/2017] [Accepted: 12/06/2017] [Indexed: 01/28/2023]
Abstract
In schizophrenia temporal cortical volume loss differs between patients presenting with persistent auditory verbal hallucinations (pAVH) in contrast to those without hallucinatory symptoms (nAVH). However, it is unknown whether this deficit reflects a neural signature of neurodevelopmental origin or if abnormal temporal cortical volume is reflective of factors which may be relevant at later stages of the disorder. Here, we tested the hypothesis that local gyrification index (LGI) in regions of the temporal cortex differs between patients with pAVH (n=10) and healthy controls (n=14), and that abnormal temporal LGI discriminates between pAVH and nAVH (n=10). Structural magnetic resonance imaging at 3T along with surface-based data analysis methods was used. Contrary to our expectations, patients with pAVH showed lower LGI in Broca´s region compared to both healthy persons and nAVH. Compared to nAVH, those individuals presenting with pAVH also showed lower LGI in right Broca's homologue and right superior middle frontal cortex, together with increased LGI in the precuneus and superior parietal cortex. Regions with abnormal LGI common to both patient samples were found in anterior cingulate and superior frontal areas. Inferior cortical regions exhibiting abnormal LGI in pAVH patients were associated with overall symptom load (BPRS), but not with measures of AVH symptom severity. The pattern of abnormal cortical folding in this sample suggests a neurodevelopmental signature in Broca's region, consistent with current AVH models emphasizing the pivotal role of language circuits and inner speech. Temporal cortical deficits may characterize patients with pAVH during later stages of the disorder.
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Pollegioni L, Piubelli L, Molla G, Rosini E. D-Amino Acid Oxidase-pLG72 Interaction and D-Serine Modulation. Front Mol Biosci 2018; 5:3. [PMID: 29417050 PMCID: PMC5787542 DOI: 10.3389/fmolb.2018.00003] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2017] [Accepted: 01/08/2018] [Indexed: 12/30/2022] Open
Abstract
pLG72 is a small, primate-specific protein of 153 amino acids. It is the product of the G72 gene, expressed in testis, spinal cord, and brain. The presence of G72 transcript and pLG72 has recurrently been called into question, however G72 mRNA and pLG72 protein levels were higher in blood and brain of patients with schizophrenia than in healthy controls. On the one hand, the SNP rs2391191 corresponding to the R30K substitution in pLG72 was genetically linked to schizophrenia, reduced thickness of the brain cortex in schizophrenia-affected individuals, and altered memory function. Various lines of evidence indicated that pLG72 is a mitochondrial protein, specifically an extrinsic protein bound on the outer membrane. Over the years, pLG72 was proposed to be involved in different functions: (a) overexpression induces mitochondria fragmentation, increasing the numbers of shorter and more mobile ones which could be delivered faster to regions of intense growth and facilitating the dendritic complexity; (b) it might induce oxidative stress by interacting with methionine-R-sulfoxide reductase B2; and (c) it binds and modulates the activity of FMN-containing oxidoreductase of the respiratory complex I. The main role of this protein, however, is related to its binding to the human flavoenzyme D-amino acid oxidase (hDAAO), i.e., the main catabolic enzyme for D-enantiomer of serine. This D-amino acid is a main endogenous coagonist of the N-methyl-D-aspartate type glutamate receptor (NMDAR) involved in main functions such as synaptic plasticity, learning, memory, and excitotoxicity. For this work, we reviewed the recent literature concerning the hDAAO-pLG72 interaction, focusing on the molecular details of the interaction, the effect of hDAAO function and stability, and the cellular effects, especially on D-serine concentration. The main effects related to the pathological R30K substitution are also reported. We have highlighted the gaps in our knowledge of this human protein as well as the relevance of clarifying the molecular details of hDAAO-pLG72 interaction in order to design molecules to modulate hDAAO activity/stability and thus NMDAR function acting at the D-serine cellular level.
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Affiliation(s)
- Loredano Pollegioni
- Dipartimento di Biotecnologie e Scienze della Vita, Università degli Studi dell'Insubria, Varese, Italy.,The Protein Factory, Politecnico di Milano and Università degli studi dell'Insubria, Milan, Italy
| | - Luciano Piubelli
- Dipartimento di Biotecnologie e Scienze della Vita, Università degli Studi dell'Insubria, Varese, Italy.,The Protein Factory, Politecnico di Milano and Università degli studi dell'Insubria, Milan, Italy
| | - Gianluca Molla
- Dipartimento di Biotecnologie e Scienze della Vita, Università degli Studi dell'Insubria, Varese, Italy.,The Protein Factory, Politecnico di Milano and Università degli studi dell'Insubria, Milan, Italy
| | - Elena Rosini
- Dipartimento di Biotecnologie e Scienze della Vita, Università degli Studi dell'Insubria, Varese, Italy.,The Protein Factory, Politecnico di Milano and Università degli studi dell'Insubria, Milan, Italy
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Abstract
Recent empirical findings from clinical and genetic studies suggest that mentalization, a key area of social cognition, is a distinct construct, although it is closely related to the neurocognitive deficits and symptoms of schizophrenia. Mentalization contributes a great deal to impaired social functioning. Current measures often display methodological problems, and many aspects should be taken into account when assessing mentalization. Moreover, advances in cognitive and affective neurosciences have led to the development of more advanced behavioral methods to assess the relationship between cognitive functions, symptoms, and social cognition based on their underlying neural mechanisms. The development of assessment tools that better examine the neural circuitry of such relationships may lead to the development of new psychosocial and pharmacological treatments.
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14
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Hirjak D, Wolf RC, Pfeifer B, Kubera KM, Thomann AK, Seidl U, Maier-Hein KH, Schröder J, Thomann PA. Cortical signature of clock drawing performance in Alzheimer's disease and mild cognitive impairment. J Psychiatr Res 2017; 90:133-142. [PMID: 28284155 DOI: 10.1016/j.jpsychires.2017.02.019] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/02/2016] [Revised: 02/19/2017] [Accepted: 02/21/2017] [Indexed: 12/24/2022]
Abstract
It is unclear whether clock drawing test (CDT) performance relies on a widely distributed cortical network, or whether this test predominantly taps into parietal cortex function. So far, associations between cortical integrity and CDT impairment in Alzheimer's disease (AD) and mild cognitive impairment (MCI) largely stem from cortical volume analyses. Given that volume is a product of thickness and surface area, investigation of the relationship between CDT and these two cortical measures might contribute to better understanding of this cognitive screening tool for AD. 38 patients with AD, 38 individuals with MCI and 31 healthy controls (HC) underwent CDT assessment and MRI at 3 Tesla. The surface-based analysis via Freesurfer enabled calculation of cortical thickness and surface area. CDT was scored according to the method proposed by Shulman and related to the two distinct cortical measurements. Higher CDT scores across the entire sample were associated with cortical thickness in bilateral temporal gyrus, the right supramarginal gyrus, and the bilateral parietal gyrus, respectively (p < 0.001 CWP corr.). Significant associations between CDT and cortical thickness reduction in the parietal lobe remained significant when analyses were restricted to AD individuals. There was no statistically significant association between CDT scores and surface area (p < 0.001 CWP corr.). In conclusion, CDT performance may be driven by cortical thickness alterations in regions previously identified as "AD vulnerable", i.e. regions predominantly including temporal and parietal lobes. Our results suggest that cortical features of distinct evolutionary and genetic origin differently contribute to CDT performance.
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Affiliation(s)
- Dusan Hirjak
- Department of Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University Mannheim, Germany; Center for Psychosocial Medicine, Department of General Psychiatry, University of Heidelberg, Germany.
| | - Robert C Wolf
- Center for Psychosocial Medicine, Department of General Psychiatry, University of Heidelberg, Germany
| | - Barbara Pfeifer
- Center for Psychosocial Medicine, Department of General Psychiatry, University of Heidelberg, Germany
| | - Katharina M Kubera
- Center for Psychosocial Medicine, Department of General Psychiatry, University of Heidelberg, Germany
| | - Anne K Thomann
- Department of Internal Medicine II, Medical Faculty Mannheim, University of Heidelberg, Germany
| | - Ulrich Seidl
- Center for Mental Health, Department of Psychiatry, Prießnitzweg 24, Stuttgart 70374, Germany
| | - Klaus H Maier-Hein
- Medical Image Computing Group, German Cancer Research Center (DKFZ), Germany
| | | | - Philipp A Thomann
- Center for Psychosocial Medicine, Department of General Psychiatry, University of Heidelberg, Germany; Center for Mental Health, Odenwald District Healthcare Center, Albert-Schweitzer-Straße 10-20, 64711 Erbach, Germany
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15
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Hirjak D, Huber M, Kirchler E, Kubera KM, Karner M, Sambataro F, Freudenmann RW, Wolf RC. Cortical features of distinct developmental trajectories in patients with delusional infestation. Prog Neuropsychopharmacol Biol Psychiatry 2017; 76:72-79. [PMID: 28257853 DOI: 10.1016/j.pnpbp.2017.02.018] [Citation(s) in RCA: 24] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/21/2016] [Revised: 02/23/2017] [Accepted: 02/27/2017] [Indexed: 01/02/2023]
Abstract
BACKGROUND Although there is strong neuroimaging evidence that cortical alterations are a core feature of schizophrenia spectrum disorders, it still remains unclear to what extent such abnormalities occur in monothematic delusional disorders. In individuals with delusional infestation (DI), the delusional belief to be infested with pathogens, previous structural MRI studies have shown prefrontal, temporal, parietal, insular, thalamic and striatal gray matter volume changes. Differential contributions of cortical features of evolutionary and genetic origin (such as cortical thickness, area and folding) which may distinctly contribute to DI pathophysiology are unclear at present. METHODS In this study, 18 patients with DI and 20 healthy controls (HC) underwent MRI scanning at 1.0T. Using surface-based analyses we calculated cortical thickness, surface area and local gyrification index (LGI). Whole-brain differences between patients and controls were investigated. RESULTS Surface analyses revealed frontoparietal patterns exhibiting altered cortical thickness, surface area and LGI in DI patients compared to controls. Higher cortical thickness was found in the right medial orbitofrontal cortex (p<0.05, cluster-wise probability [CWP] corrected). Smaller surface area in patients was found in the left inferior temporal gyrus, the precuneus, the pars orbitalis of the right frontal gyrus, and the lingual gyrus (p<0.05, CWP corr.). Lower LGI was found in the left postcentral, bilateral precentral, right middle temporal, inferior parietal, and superior parietal gyri (p<0.01, CWP corr.). CONCLUSION This study lends further support to the hypothesis that cortical features of distinct evolutionary and genetic origin differently contribute to the pathogenesis of delusional disorders. Regions in which atrophy was observed are part of neural circuits associated with perception, visuospatial control and self-awareness. The data are in line with the notion of a content-specific neural signature of DI.
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Affiliation(s)
- Dusan Hirjak
- Department of Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University Mannheim, Germany.
| | - Markus Huber
- Department of Psychiatry, General Hospital Bruneck, South Tyrol, Italy
| | - Erwin Kirchler
- Department of Psychiatry, General Hospital Bruneck, South Tyrol, Italy
| | - Katharina M Kubera
- Center for Psychosocial Medicine, Department of General Psychiatry, Heidelberg University, Germany
| | - Martin Karner
- Department of Radiology, General Hospital Bruneck, South Tyrol, Italy
| | - Fabio Sambataro
- Department of Experimental and Clinical Medical Sciences, Udine University, Italy
| | | | - Robert C Wolf
- Center for Psychosocial Medicine, Department of General Psychiatry, Heidelberg University, Germany
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16
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Current understanding of methamphetamine-associated dopaminergic neurodegeneration and psychotoxic behaviors. Arch Pharm Res 2017; 40:403-428. [DOI: 10.1007/s12272-017-0897-y] [Citation(s) in RCA: 52] [Impact Index Per Article: 7.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/07/2016] [Accepted: 12/02/2016] [Indexed: 12/21/2022]
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17
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Sacchi S, Cappelletti P, Pirone L, Smaldone G, Pedone E, Pollegioni L. Elucidating the role of the pLG72 R30K substitution in schizophrenia susceptibility. FEBS Lett 2017; 591:646-655. [PMID: 28166363 DOI: 10.1002/1873-3468.12585] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/17/2016] [Revised: 01/24/2017] [Accepted: 01/28/2017] [Indexed: 12/31/2022]
Abstract
In the human brain, pLG72 interacts with the flavoenzyme d-amino acid oxidase (hDAAO), which is involved in catabolism of d-serine, a co-agonist of N-methyl-d-aspartate receptors (NMDAR). Here, we investigated the wild-type pLG72, the R30K variant associated with schizophrenia susceptibility, and the K62E variant. The protein conformation, oligomeric state, ligand-, and hDAAO-binding properties are only slightly modified by the substitutions. All pLG72 variants inhibit hDAAO and lead to an increase in cellular (d/d+l)-serine. However, the R30K pLG72 is significantly more prone to degradation than the R30 and the K62E variants in a cell system, thus possessing a lower ability to interact/inhibit hDAAO. This links R30K pLG72 with the hyperactivity of hDAAO, the decreased d-serine level, and NMDAR hypofunction observed in schizophrenia-affected patients.
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Affiliation(s)
- Silvia Sacchi
- Department of Biotechnology and Life Sciences, Università degli Studi dell'Insubria, Varese, Italy.,The Protein Factory, Politecnico di Milano and Università degli Studi dell'Insubria, Italy
| | - Pamela Cappelletti
- Department of Biotechnology and Life Sciences, Università degli Studi dell'Insubria, Varese, Italy.,The Protein Factory, Politecnico di Milano and Università degli Studi dell'Insubria, Italy
| | - Luciano Pirone
- Institute of Biostructures and Bioimaging, Italian Research National Council, Naples, Italy
| | | | - Emilia Pedone
- Institute of Biostructures and Bioimaging, Italian Research National Council, Naples, Italy
| | - Loredano Pollegioni
- Department of Biotechnology and Life Sciences, Università degli Studi dell'Insubria, Varese, Italy.,The Protein Factory, Politecnico di Milano and Università degli Studi dell'Insubria, Italy
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18
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Cortical folding patterns are associated with impulsivity in healthy young adults. Brain Imaging Behav 2016; 11:1592-1603. [DOI: 10.1007/s11682-016-9618-2] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
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19
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Sacchi S, Binelli G, Pollegioni L. G72 primate-specific gene: a still enigmatic element in psychiatric disorders. Cell Mol Life Sci 2016; 73:2029-39. [PMID: 26914235 PMCID: PMC11108296 DOI: 10.1007/s00018-016-2165-6] [Citation(s) in RCA: 26] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2015] [Revised: 01/19/2016] [Accepted: 02/15/2016] [Indexed: 01/12/2023]
Abstract
Numerous studies have demonstrated a link between genetic markers on chromosome 13 and schizophrenia, bipolar affective disorder, and other psychiatric phenotypes. The G72/G30 genes (transcribed in opposite directions) are located on chromosome 13q33, a region demonstrating strong evidence for linkage with various neuropsychiatric disorders. G72/G30 was identified in 2002 as a schizophrenia susceptibility locus; however, subsequent association studies did not reach consensus on single SNPs within the locus. Simultaneously, a new vision for the genetic architecture of psychiatric disorders suggested that schizophrenia was a quantitative trait, therefore ascribable to potentially hundreds of genes and subjected to the vagaries of the environment. The main protein product of G72 gene is named pLG72 or D-amino acid oxidase activator DAOA (153 amino acids) and its function is still debated. Functional analyses, also showing controversial results, indicate that pLG72 contributes to N-methyl-D-aspartate receptor modulation by affecting activity of the flavoprotein D-amino acid oxidase, the enzyme responsible for degrading the neuromodulator D-serine. In this review we, for the first time, summarize findings from molecular genetic linkage and association studies concerning G72 gene, cellular and molecular studies on pLG72, and investigations performed on G72/G30 transgenic mice. This will help elucidate the role of psychosis susceptibility genes, which will have a major impact on our understanding of disease pathophysiology and thus change classification and treatment.
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Affiliation(s)
- Silvia Sacchi
- Dipartimento di Biotecnologie e Scienze della Vita, Università degli studi dell'Insubria, via J. H. Dunant 3, 21100, Varese, Italy
- The Protein Factory, Centro Interuniversitario di Biotecnologie Proteiche, Università degli studi dell'Insubria and Politecnico di Milano, Milano, Italy
| | - Giorgio Binelli
- Dipartimento di Biotecnologie e Scienze della Vita, Università degli studi dell'Insubria, via J. H. Dunant 3, 21100, Varese, Italy
| | - Loredano Pollegioni
- Dipartimento di Biotecnologie e Scienze della Vita, Università degli studi dell'Insubria, via J. H. Dunant 3, 21100, Varese, Italy.
- The Protein Factory, Centro Interuniversitario di Biotecnologie Proteiche, Università degli studi dell'Insubria and Politecnico di Milano, Milano, Italy.
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20
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Liu C, Xue Z, Palaniyappan L, Zhou L, Liu H, Qi C, Wu G, Mwansisya TE, Tao H, Chen X, Huang X, Liu Z, Pu W. Abnormally increased and incoherent resting-state activity is shared between patients with schizophrenia and their unaffected siblings. Schizophr Res 2016; 171:158-65. [PMID: 26805410 DOI: 10.1016/j.schres.2016.01.022] [Citation(s) in RCA: 40] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/18/2015] [Revised: 12/18/2015] [Accepted: 01/11/2016] [Indexed: 12/19/2022]
Abstract
BACKGROUND Several resting-state neuroimaging studies in schizophrenia indicate an excessive brain activity while others report an incoherent brain activity at rest. No direct evidence for the simultaneous presence of both excessive and incoherent brain activity has been established to date. Moreover, it is unclear whether unaffected siblings of schizophrenia patients who share half of the affected patient's genotype also exhibit the excessive and incoherent brain activity that may render them vulnerable to the development of schizophrenia. METHODS 27 pairs of schizophrenia patients and their unaffected siblings, as well as 27 healthy controls, were scanned using gradient-echo echo-planar imaging at rest. By using amplitude of low-frequency fluctuations (ALFF) and regional homogeneity (Reho), we investigated the intensity and synchronization of local spontaneous neuronal activity in three groups. RESULTS We observed that increased amplitude and reduced synchronization (coherence) of spontaneous neuronal activity were shared by patients and their unaffected siblings. The key brain regions with this abnormal neural pattern in both patients and siblings included the middle temporal, orbito-frontal, inferior occipital and fronto-insular gyrus. CONCLUSIONS This abnormal neural pattern of excessive and incoherent neuronal activity shared by schizophrenia patients and their healthy siblings may improve our understanding of neuropathology and genetic predisposition in schizophrenia.
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Affiliation(s)
- Chang Liu
- Mental Health Institute, Second Xiangya Hospital, Central South University, Changsha, Hunan, People's Republic of China; The China National Clinical Research Center for Mental Health Disorders, National Technology Institute of Psychiatry, Key Laboratory of Psychiatry and Mental Health of Hunan Province, 139 Middle Renmin Road, Changsha, Hunan 410011, People's Republic of China
| | - Zhimin Xue
- Mental Health Institute, Second Xiangya Hospital, Central South University, Changsha, Hunan, People's Republic of China; State Key Laboratory of Medical Genetics, Central South University, Changsha, Hunan, People's Republic of China; The China National Clinical Research Center for Mental Health Disorders, National Technology Institute of Psychiatry, Key Laboratory of Psychiatry and Mental Health of Hunan Province, 139 Middle Renmin Road, Changsha, Hunan 410011, People's Republic of China
| | - Lena Palaniyappan
- Departments of Psychiatry, Neuroscience and Medical Biophysics, University of Western Ontario, London, Ontario, Canada
| | - Li Zhou
- Mental Health Institute, Second Xiangya Hospital, Central South University, Changsha, Hunan, People's Republic of China; The China National Clinical Research Center for Mental Health Disorders, National Technology Institute of Psychiatry, Key Laboratory of Psychiatry and Mental Health of Hunan Province, 139 Middle Renmin Road, Changsha, Hunan 410011, People's Republic of China
| | - Haihong Liu
- Mental Health Center, Xiangya Hospital, Central South University, Changsha, Hunan, People's Republic of China
| | - Chang Qi
- Mental Health Institute, Second Xiangya Hospital, Central South University, Changsha, Hunan, People's Republic of China; The China National Clinical Research Center for Mental Health Disorders, National Technology Institute of Psychiatry, Key Laboratory of Psychiatry and Mental Health of Hunan Province, 139 Middle Renmin Road, Changsha, Hunan 410011, People's Republic of China
| | - Guowei Wu
- Mental Health Institute, Second Xiangya Hospital, Central South University, Changsha, Hunan, People's Republic of China; The China National Clinical Research Center for Mental Health Disorders, National Technology Institute of Psychiatry, Key Laboratory of Psychiatry and Mental Health of Hunan Province, 139 Middle Renmin Road, Changsha, Hunan 410011, People's Republic of China
| | - Tumbwene E Mwansisya
- Mental Health Institute, Second Xiangya Hospital, Central South University, Changsha, Hunan, People's Republic of China; College of Health Sciences, University of Dodoma, P.O. Box 395, Dodoma, Tanzania
| | - Haojuan Tao
- Mental Health Institute, Second Xiangya Hospital, Central South University, Changsha, Hunan, People's Republic of China; The China National Clinical Research Center for Mental Health Disorders, National Technology Institute of Psychiatry, Key Laboratory of Psychiatry and Mental Health of Hunan Province, 139 Middle Renmin Road, Changsha, Hunan 410011, People's Republic of China
| | - Xudong Chen
- Mental Health Institute, Second Xiangya Hospital, Central South University, Changsha, Hunan, People's Republic of China; The China National Clinical Research Center for Mental Health Disorders, National Technology Institute of Psychiatry, Key Laboratory of Psychiatry and Mental Health of Hunan Province, 139 Middle Renmin Road, Changsha, Hunan 410011, People's Republic of China
| | - Xiaojun Huang
- Mental Health Institute, Second Xiangya Hospital, Central South University, Changsha, Hunan, People's Republic of China; The China National Clinical Research Center for Mental Health Disorders, National Technology Institute of Psychiatry, Key Laboratory of Psychiatry and Mental Health of Hunan Province, 139 Middle Renmin Road, Changsha, Hunan 410011, People's Republic of China
| | - Zhening Liu
- Mental Health Institute, Second Xiangya Hospital, Central South University, Changsha, Hunan, People's Republic of China; State Key Laboratory of Medical Genetics, Central South University, Changsha, Hunan, People's Republic of China; The China National Clinical Research Center for Mental Health Disorders, National Technology Institute of Psychiatry, Key Laboratory of Psychiatry and Mental Health of Hunan Province, 139 Middle Renmin Road, Changsha, Hunan 410011, People's Republic of China
| | - Weidan Pu
- Medical Psychological Institute, Second Xiangya Hospital, Central South University, Changsha, Hunan, People's Republic of China; The China National Clinical Research Center for Mental Health Disorders, National Technology Institute of Psychiatry, Key Laboratory of Psychiatry and Mental Health of Hunan Province, 139 Middle Renmin Road, Changsha, Hunan 410011, People's Republic of China.
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Identification of pLG72-Induced Oxidative Stress Using Systemic Approaches. BIOMED RESEARCH INTERNATIONAL 2015; 2015:429253. [PMID: 26539492 PMCID: PMC4619840 DOI: 10.1155/2015/429253] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/01/2015] [Revised: 08/01/2015] [Accepted: 08/17/2015] [Indexed: 11/18/2022]
Abstract
G72 is a schizophrenia-susceptible gene encoding a polypeptide with 153 amino acids. In 2002, it was originally proposed as an activator of D-amino acid oxidase (DAOA) that could enhance the activity of DAAO and subsequently reduce the neurotransmission of N-methyl-D-aspartate receptors. However, several controversial findings have been reported recently. Due to a number of inconsistent descriptions of pLG72's biofunctions, this study aims to identify the cellular effects induced by pLG72 in U87 cells using systems biology approaches. The analyses of transcriptomics and biological networks showed that pLG72 might be involved in the induction of oxidative stress. To confirm the in silico prediction, we tested and discovered that overexpression of pLG72 effectively enhanced reactive oxygen species (ROS) in U87 cells and, furthermore, this induction can be quenched by Tempol, a general ROS scavenger. Therefore, G72-transgenic mice presenting some psychiatric symptoms, along with the pLG72 level being significantly increased in the serum of patients with schizophrenia, have led us to propose that the ROS enhancement in mental diseases may be from the overexpression of pLG72 in brain cells.
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Hirjak D, Kubera KM, Wolf RC, Thomann AK, Hell SK, Seidl U, Thomann PA. Local brain gyrification as a marker of neurological soft signs in schizophrenia. Behav Brain Res 2015; 292:19-25. [DOI: 10.1016/j.bbr.2015.05.048] [Citation(s) in RCA: 31] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2015] [Revised: 05/22/2015] [Accepted: 05/27/2015] [Indexed: 01/28/2023]
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Nenadic I, Yotter RA, Sauer H, Gaser C. Patterns of cortical thinning in different subgroups of schizophrenia. Br J Psychiatry 2015; 206:479-83. [PMID: 25657354 DOI: 10.1192/bjp.bp.114.148510] [Citation(s) in RCA: 35] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/18/2014] [Accepted: 09/29/2014] [Indexed: 12/18/2022]
Abstract
BACKGROUND Alterations of cortical thickness have been shown in imaging studies of schizophrenia but it is unclear to what extent they are related to disease phenotype (including symptom profile) or other aspects such as genetic liability, disease onset and disease progression. AIMS To test the hypothesis that cortical thinning would vary across different subgroups of patients with chronic schizophrenia, delineated according to their symptom profiles. METHOD We compared high-resolution magnetic resonance imaging data of 87 patients with DSM-IV schizophrenia with 108 controls to detect changes in cortical thickness across the entire brain (P<0.05, false discovery rate-adjusted). The patient group was divided into three subgroups, consisting of patients with predominantly negative, disorganised or paranoid symptoms. RESULTS The negative symptoms subgroup showed the most extensive cortical thinning, whereas thinning in the other subgroups was focused in prefrontal and temporal cortical subregions. CONCLUSIONS Our findings support growing evidence of potential subtypes of schizophrenia that have different brain structural deficit profiles.
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Affiliation(s)
- Igor Nenadic
- Igor Nenadic, MD, Department of Psychiatry and Psychotherapy, Jena University Hospital, Jena, Germany; Rachel A. Yotter, PhD, Department of Psychiatry and Psychotherapy, Jena University Hospital, Jena, Germany, and Section of Biomedical Image Analysis, University of Pennsylvania, Philadelphia, USA; Heinrich Sauer, MD, Department of Psychiatry and Psychotherapy, Jena University Hospital, Jena, Germany; Christian Gaser, PhD, Department of Psychiatry and Psychotherapy and Department of Neurology, Jena University Hospital, Jena, Germany
| | - Rachel A Yotter
- Igor Nenadic, MD, Department of Psychiatry and Psychotherapy, Jena University Hospital, Jena, Germany; Rachel A. Yotter, PhD, Department of Psychiatry and Psychotherapy, Jena University Hospital, Jena, Germany, and Section of Biomedical Image Analysis, University of Pennsylvania, Philadelphia, USA; Heinrich Sauer, MD, Department of Psychiatry and Psychotherapy, Jena University Hospital, Jena, Germany; Christian Gaser, PhD, Department of Psychiatry and Psychotherapy and Department of Neurology, Jena University Hospital, Jena, Germany
| | - Heinrich Sauer
- Igor Nenadic, MD, Department of Psychiatry and Psychotherapy, Jena University Hospital, Jena, Germany; Rachel A. Yotter, PhD, Department of Psychiatry and Psychotherapy, Jena University Hospital, Jena, Germany, and Section of Biomedical Image Analysis, University of Pennsylvania, Philadelphia, USA; Heinrich Sauer, MD, Department of Psychiatry and Psychotherapy, Jena University Hospital, Jena, Germany; Christian Gaser, PhD, Department of Psychiatry and Psychotherapy and Department of Neurology, Jena University Hospital, Jena, Germany
| | - Christian Gaser
- Igor Nenadic, MD, Department of Psychiatry and Psychotherapy, Jena University Hospital, Jena, Germany; Rachel A. Yotter, PhD, Department of Psychiatry and Psychotherapy, Jena University Hospital, Jena, Germany, and Section of Biomedical Image Analysis, University of Pennsylvania, Philadelphia, USA; Heinrich Sauer, MD, Department of Psychiatry and Psychotherapy, Jena University Hospital, Jena, Germany; Christian Gaser, PhD, Department of Psychiatry and Psychotherapy and Department of Neurology, Jena University Hospital, Jena, Germany
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Hirjak D, Wolf RC, Kubera KM, Stieltjes B, Thomann PA. Multiparametric mapping of neurological soft signs in healthy adults. Brain Struct Funct 2014; 221:1209-21. [DOI: 10.1007/s00429-014-0964-9] [Citation(s) in RCA: 23] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2014] [Accepted: 12/09/2014] [Indexed: 10/24/2022]
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Tan J, Lin Y, Su L, Yan Y, Chen Q, Jiang H, Wei Q, Gu L. Association between DAOA gene polymorphisms and the risk of schizophrenia, bipolar disorder and depressive disorder. Prog Neuropsychopharmacol Biol Psychiatry 2014; 51:89-98. [PMID: 24447945 DOI: 10.1016/j.pnpbp.2014.01.007] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/21/2013] [Revised: 01/09/2014] [Accepted: 01/10/2014] [Indexed: 01/09/2023]
Abstract
OBJECTIVE Schizophrenia (SCZ), bipolar disorder (BD) and depressive disorder (DD) are common psychiatric disorders, which show common genetic vulnerability. Previous gene-disease association studies have reported correlations between d-amino acid oxidase activator (DAOA) gene polymorphisms and the three psychiatric disorders. However, the findings were contradictory. A meta-analysis was therefore conducted to provide more robust investigations into DAOA polymorphisms and the risk of SCZ, BD and DD. METHODS This meta-analysis recruited 46 published studies up to July 2013, including 17,515 cases and 25,189 controls. Odds ratios (ORs) with 95% confidence intervals (CIs) were used to evaluate the association between three specific DAOA SNPs and SCZ, BD and DD. Publication bias was tested by Begg's test and funnel plot, and heterogeneity was assessed by the Cochran's chi-square-based Q statistic and the inconsistency index (I(2)). Moreover, the robustness of the findings was estimated by cumulative meta-analysis. RESULTS DAOA genetic polymorphisms (M15, M18 and M23) were not found to confer a statistically significant increased risk of SCZ, BD or DD in the overall sample, or in Caucasians and Asians following subgroup analysis. CONCLUSION The current study indicated that M15, M18 and M23 might not be the risk factor for SCZ, BD or DD. However, further studies are required to provide robust evidence to estimate the association between DAOA polymorphisms and psychiatric disorders.
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Affiliation(s)
- Jinjing Tan
- Department of Internal Neurology, First Affiliated Hospital, Guangxi University of Chinese Medicine, 89-9 Dongge Road, Nanning, Guangxi, China
| | - Yu Lin
- School of Preclinical Medicine of Guangxi Medical University, Nanning, Guangxi, China
| | - Li Su
- School of Public Health of Guangxi Medical University, Nanning, Guangxi, China
| | - Yan Yan
- Department of Internal Neurology, First Affiliated Hospital, Guangxi University of Chinese Medicine, 89-9 Dongge Road, Nanning, Guangxi, China
| | - Qing Chen
- Department of Internal Neurology, First Affiliated Hospital, Guangxi University of Chinese Medicine, 89-9 Dongge Road, Nanning, Guangxi, China
| | - Haiyun Jiang
- Department of Internal Neurology, First Affiliated Hospital, Guangxi University of Chinese Medicine, 89-9 Dongge Road, Nanning, Guangxi, China
| | - Qiugui Wei
- Department of Internal Neurology, First Affiliated Hospital, Guangxi University of Chinese Medicine, 89-9 Dongge Road, Nanning, Guangxi, China
| | - Lian Gu
- Department of Internal Neurology, First Affiliated Hospital, Guangxi University of Chinese Medicine, 89-9 Dongge Road, Nanning, Guangxi, China.
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Nurnberger JI, Koller DL, Jung J, Edenberg HJ, Foroud T, Guella I, Vawter MP, Kelsoe JR. Identification of pathways for bipolar disorder: a meta-analysis. JAMA Psychiatry 2014; 71:657-64. [PMID: 24718920 PMCID: PMC4523227 DOI: 10.1001/jamapsychiatry.2014.176] [Citation(s) in RCA: 177] [Impact Index Per Article: 17.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
Abstract
IMPORTANCE Genome-wide investigations provide systematic information regarding the neurobiology of psychiatric disorders. OBJECTIVE To identify biological pathways that contribute to risk for bipolar disorder (BP) using genes with consistent evidence for association in multiple genome-wide association studies (GWAS). DATA SOURCES Four independent data sets with individual genome-wide data available in July 2011 along with all data sets contributed to the Psychiatric Genomics Consortium Bipolar Group by May 2012. A prior meta-analysis was used as a source for brain gene expression data. STUDY SELECTION The 4 published GWAS were included in the initial sample. All independent BP data sets providing genome-wide data in the Psychiatric Genomics Consortium were included as a replication sample. DATA EXTRACTION AND SYNTHESIS We identified 966 genes that contained 2 or more variants associated with BP at P < .05 in 3 of 4 GWAS data sets (n = 12,127 [5253 cases, 6874 controls]). Simulations using 10,000 replicates of these data sets corrected for gene size and allowed the calculation of an empirical P value for each gene; empirically significant genes were entered into a pathway analysis. Each of these pathways was then tested in the replication sample (n = 8396 [3507 cases, 4889 controls]) using gene set enrichment analysis for single-nucleotide polymorphisms. The 226 genes were also compared with results from a meta-analysis of gene expression in the dorsolateral prefrontal cortex. MAIN OUTCOMES AND MEASURES Empirically significant genes and biological pathways. RESULTS Among 966 genes, 226 were empirically significant (P < .05). Seventeen pathways were overrepresented in analyses of the initial data set. Six of the 17 pathways were associated with BP in both the initial and replication samples: corticotropin-releasing hormone signaling, cardiac β-adrenergic signaling, phospholipase C signaling, glutamate receptor signaling, endothelin 1 signaling, and cardiac hypertrophy signaling. Among the 226 genes, 9 differed in expression in the dorsolateral prefrontal cortex in patients with BP: CACNA1C, DTNA, FOXP1, GNG2, ITPR2, LSAMP, NPAS3, NCOA2, and NTRK3. CONCLUSIONS AND RELEVANCE Pathways involved in the genetic predisposition to BP include hormonal regulation, calcium channels, second messenger systems, and glutamate signaling. Gene expression studies implicate neuronal development pathways as well. These results tend to reinforce specific hypotheses regarding BP neurobiology and may provide clues for new approaches to treatment and prevention.
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Affiliation(s)
- John I Nurnberger
- Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis2Institute of Psychiatric Research, Department of Psychiatry, Indiana University School of Medicine, Indianapolis
| | - Daniel L Koller
- Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis
| | - Jeesun Jung
- Laboratory of Neurogenetics, National Institute on Alcohol Abuse and Alcoholism Intramural Research Program, Bethesda, Maryland
| | - Howard J Edenberg
- Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis4Department of Biochemistry and Molecular Biology, Indiana University School of Medicine, Indianapolis
| | - Tatiana Foroud
- Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis2Institute of Psychiatric Research, Department of Psychiatry, Indiana University School of Medicine, Indianapolis
| | - Ilaria Guella
- Functional Genomics Laboratory, Department of Psychiatry and Human Behavior, School of Medicine, University of California, Irvine
| | - Marquis P Vawter
- Functional Genomics Laboratory, Department of Psychiatry and Human Behavior, School of Medicine, University of California, Irvine
| | - John R Kelsoe
- Department of Psychiatry, School of Medicine, University of California, San Diego, La Jolla7Department of Psychiatry, Special Treatment and Evaluation Program, Veterans Affairs San Diego Healthcare System, San Diego, California
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Schultz CC, Mühleisen TW, Nenadic I, Koch K, Wagner G, Schachtzabel C, Siedek F, Nöthen MM, Rietschel M, Deufel T, Kiehntopf M, Cichon S, Reichenbach JR, Sauer H, Schlösser RGM. Common variation in NCAN, a risk factor for bipolar disorder and schizophrenia, influences local cortical folding in schizophrenia. Psychol Med 2014; 44:811-820. [PMID: 23795679 DOI: 10.1017/s0033291713001414] [Citation(s) in RCA: 47] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
Abstract
BACKGROUND Recent studies have provided strong evidence that variation in the gene neurocan (NCAN, rs1064395) is a common risk factor for bipolar disorder (BD) and schizophrenia. However, the possible relevance of NCAN variation to disease mechanisms in the human brain has not yet been explored. Thus, to identify a putative pathomechanism, we tested whether the risk allele has an influence on cortical thickness and folding in a well-characterized sample of patients with schizophrenia and healthy controls. METHOD Sixty-three patients and 65 controls underwent T1-weighted magnetic resonance imaging (MRI) and were genotyped for the single nucleotide polymorphism (SNP) rs1064395. Folding and thickness were analysed on a node-by-node basis using a surface-based approach (FreeSurfer). RESULTS In patients, NCAN risk status (defined by AA and AG carriers) was found to be associated with higher folding in the right lateral occipital region and at a trend level for the left dorsolateral prefrontal cortex. Controls did not show any association (p > 0.05). For cortical thickness, there was no significant effect in either patients or controls. CONCLUSIONS This study is the first to describe an effect of the NCAN risk variant on brain structure. Our data show that the NCAN risk allele influences cortical folding in the occipital and prefrontal cortex, which may establish disease susceptibility during neurodevelopment. The findings suggest that NCAN is involved in visual processing and top-down cognitive functioning. Both major cognitive processes are known to be disturbed in schizophrenia. Moreover, our study reveals new evidence for a specific genetic influence on local cortical folding in schizophrenia.
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Affiliation(s)
- C C Schultz
- Department of Psychiatry and Psychotherapy, Jena University Hospital, Germany
| | - T W Mühleisen
- Institute of Human Genetics, University of Bonn, Germany
| | - I Nenadic
- Department of Psychiatry and Psychotherapy, Jena University Hospital, Germany
| | - K Koch
- Department of Psychiatry and Psychotherapy, Jena University Hospital, Germany
| | - G Wagner
- Department of Psychiatry and Psychotherapy, Jena University Hospital, Germany
| | - C Schachtzabel
- Department of Psychiatry and Psychotherapy, Jena University Hospital, Germany
| | - F Siedek
- Institute of Human Genetics, University of Bonn, Germany
| | - M M Nöthen
- Institute of Human Genetics, University of Bonn, Germany
| | - M Rietschel
- Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim/Heidelberg University, Germany
| | - T Deufel
- Department of Clinical Chemistry and Laboratory Diagnostics, Jena University Hospital, Germany
| | - M Kiehntopf
- Department of Clinical Chemistry and Laboratory Diagnostics, Jena University Hospital, Germany
| | - S Cichon
- Institute of Human Genetics, University of Bonn, Germany
| | - J R Reichenbach
- Medical Physics Group, Institute for Diagnostic and Interventional Radiology I, Jena University Hospital, Germany
| | - H Sauer
- Department of Psychiatry and Psychotherapy, Jena University Hospital, Germany
| | - R G M Schlösser
- Department of Psychiatry and Psychotherapy, Jena University Hospital, Germany
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Thong JYJ, Qiu A, Sum MY, Kuswanto CN, Tuan TA, Donohoe G, Sitoh YY, Sim K. Effects of the neurogranin variant rs12807809 on thalamocortical morphology in schizophrenia. PLoS One 2013; 8:e85603. [PMID: 24386483 PMCID: PMC3875583 DOI: 10.1371/journal.pone.0085603] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/13/2013] [Accepted: 11/28/2013] [Indexed: 12/31/2022] Open
Abstract
Although the genome wide supported psychosis susceptibility neurogranin (NRGN) gene is expressed in human brains, it is unclear how it impacts brain morphology in schizophrenia. We investigated the influence of NRGN rs12807809 on cortical thickness, subcortical volumes and shapes in patients with schizophrenia. One hundred and fifty six subjects (91 patients with schizophrenia and 65 healthy controls) underwent structural MRI scans and their blood samples were genotyped. A brain mapping algorithm, large deformation diffeomorphic metric mapping, was used to perform group analysis of subcortical shapes and cortical thickness. Patients with risk TT genotype were associated with widespread cortical thinning involving frontal, parietal and temporal cortices compared with controls with TT genotype. No volumetric difference in subcortical structures (hippocampus, thalamus, amygdala, basal ganglia) was observed between risk TT genotype in patients and controls. However, patients with risk TT genotype were associated with thalamic shape abnormalities involving regions related to pulvinar and medial dorsal nuclei. Our results revealed the influence of the NRGN gene on thalamocortical morphology in schizophrenia involving widespread cortical thinning and thalamic shape abnormalities. These findings help to clarify underlying NRGN mediated pathophysiological mechanisms involving cortical-subcortical brain networks in schizophrenia.
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Affiliation(s)
- Jamie Yu Jin Thong
- Department of Bioengineering, National University of Singapore, Singapore
| | - Anqi Qiu
- Department of Bioengineering, National University of Singapore, Singapore
- Clinical Imaging Research Center, National University of Singapore, Singapore
- Singapore Institute for Clinical Sciences, the Agency for Science, Technology and Research, Singapore
- * E-mail:
| | - Min Yi Sum
- Research Division, Institute of Mental Health, Singapore
| | | | - Ta Ahn Tuan
- Department of Bioengineering, National University of Singapore, Singapore
| | - Gary Donohoe
- Department of Psychiatry, School of Medicine and Trinity College Institute of Neuroscience, Trinity College Dublin, Dublin, Republic of Ireland
| | - Yih Yian Sitoh
- Department of Neuroradiology, National Neuroscience Institute, Singapore
| | - Kang Sim
- Research Division, Institute of Mental Health, Singapore
- Department of General Psychiatry, Institute of Mental Health, Singapore
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29
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Molecular evidence of N-methyl-D-aspartate receptor hypofunction in schizophrenia. Mol Psychiatry 2013; 18:1185-92. [PMID: 23070074 PMCID: PMC3807670 DOI: 10.1038/mp.2012.137] [Citation(s) in RCA: 178] [Impact Index Per Article: 16.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/30/2012] [Revised: 07/05/2012] [Accepted: 08/20/2012] [Indexed: 11/16/2022]
Abstract
Blockade of N-methyl-D-aspartate receptors (NMDARs) produces behavior in healthy people that is similar to the psychotic symptoms and cognitive deficits of schizophrenia and can exacerbate symptoms in people with schizophrenia. However, an endogenous brain disruption of NMDARs has not been clearly established in schizophrenia. We measured mRNA transcripts for five NMDAR subunit mRNAs and protein for the NR1 subunit in the dorsolateral prefrontal cortex (DLPFC) of schizophrenia and control (n=74) brains. Five NMDAR single-nucleotide polymorphisms (SNPs) previously associated with schizophrenia were tested for association with NMDAR mRNAs in postmortem brain and for association with cognitive ability in an antemortem cohort of 101 healthy controls and 48 people with schizophrenia. The NR1 subunit (mRNA and protein) and NR2C mRNA were decreased in postmortem brain from people with schizophrenia (P=0.004, P=0.01 and P=0.01, respectively). In the antemortem cohort, the minor allele of NR2B rs1805502 (T5988C) was associated with significantly lower reasoning ability in schizophrenia. In the postmortem brain, the NR2B rs1805502 (T5988C) C allele was associated with reduced expression of NR1 mRNA and protein in schizophrenia. Reduction in NR1 and NR2C in the DLPFC of people with schizophrenia may lead to altered NMDAR stoichiometry and provides compelling evidence for an endogenous NMDAR deficit in schizophrenia. Genetic variation in the NR2B gene predicts reduced levels of the obligatory NR1 subunit, suggesting a novel mechanism by which the NR2B SNP may negatively influence other NMDAR subunit expression and reasoning ability in schizophrenia.
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30
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Kremen WS, Fennema-Notestine C, Eyler LT, Panizzon MS, Chen CH, Franz CE, Lyons MJ, Thompson WK, Dale AM. Genetics of brain structure: contributions from the Vietnam Era Twin Study of Aging. Am J Med Genet B Neuropsychiatr Genet 2013; 162B:751-61. [PMID: 24132907 PMCID: PMC4754776 DOI: 10.1002/ajmg.b.32162] [Citation(s) in RCA: 39] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/28/2012] [Accepted: 03/15/2013] [Indexed: 11/09/2022]
Abstract
Understanding the genetics of neuropsychiatric disorders requires an understanding of the genetics of brain structure and function. The Vietnam Era Twin Study of Aging (VETSA) is a longitudinal behavioral genetic study focused on cognitive and brain aging. Here, we describe basic science work carried out within the VETSA MRI study that provides meaningful contributions toward the study of neuropsychiatric disorders. VETSA produced the first comprehensive assessment of the heritability of cortical and subcortical brain structure sizes, all within the same individuals. We showed that neocortical thickness and surface area are largely genetically distinct. With continuous neocortical thickness maps, we demonstrated regional specificity of genetic influences, and that genetic factors did not conform to traditional regions of interest (ROIs). However, there was some evidence for different genetic factors accounting for different types of cortex, and for genetic relationships across cortical regions corresponding to anatomical and functional connectivity and brain maturation patterns. With continuous neocortical surface area maps, we confirmed the anterior-posterior gradient of genetic influences on cortical area patterning demonstrated in animal models. Finally, we used twin methods to create the first map of cortical ROIs based entirely on genetically informative data. We conclude that these genetically based cortical phenotypes may be more appropriate for genetic studies than traditional ROIs based on structure or function. Our results also suggest that cortical volume-the product of thickness and surface area-is a problematic phenotype for genetic studies because two independent sets of genes may be obscured. Examples supporting the validity of these conclusions are provided.
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Affiliation(s)
- William S. Kremen
- Department of Psychiatry, University of California, San Diego, La Jolla, California,Twin Research Laboratory, Center for Behavioral Genomics, University of California, San Diego, La Jolla, California,Center of Excellence for Stress and Mental Health, VA San Diego Healthcare System, La Jolla, California,Correspondence to: William S. Kremen, Department of Psychiatry, University of California, San Diego, La Jolla, CA 92093.,
| | - Christine Fennema-Notestine
- Department of Psychiatry, University of California, San Diego, La Jolla, California,Department of Radiology, University of California, San Diego, La Jolla, California
| | - Lisa T. Eyler
- Department of Psychiatry, University of California, San Diego, La Jolla, California,Mental Illness Research, Education, and Clinical Center, VA San Diego Healthcare System, La Jolla, California
| | - Matthew S. Panizzon
- Department of Psychiatry, University of California, San Diego, La Jolla, California,Twin Research Laboratory, Center for Behavioral Genomics, University of California, San Diego, La Jolla, California
| | - Chi-Hua Chen
- Department of Psychiatry, University of California, San Diego, La Jolla, California,Twin Research Laboratory, Center for Behavioral Genomics, University of California, San Diego, La Jolla, California
| | - Carol E. Franz
- Department of Psychiatry, University of California, San Diego, La Jolla, California,Twin Research Laboratory, Center for Behavioral Genomics, University of California, San Diego, La Jolla, California
| | - Michael J. Lyons
- Department of Psychology, Boston University, Boston, Massachusetts
| | - Wesley K. Thompson
- Department of Psychiatry, University of California, San Diego, La Jolla, California,Twin Research Laboratory, Center for Behavioral Genomics, University of California, San Diego, La Jolla, California
| | - Anders M. Dale
- Department of Psychiatry, University of California, San Diego, La Jolla, California,Department of Radiology, University of California, San Diego, La Jolla, California,Department of Neurosciences, University of California, San Diego, La Jolla, California
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31
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Martin AK, Robinson G, Dzafic I, Reutens D, Mowry B. Theory of mind and the social brain: implications for understanding the genetic basis of schizophrenia. GENES BRAIN AND BEHAVIOR 2013; 13:104-17. [DOI: 10.1111/gbb.12066] [Citation(s) in RCA: 29] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/13/2013] [Revised: 07/22/2013] [Accepted: 07/28/2013] [Indexed: 02/03/2023]
Affiliation(s)
- A. K. Martin
- Queensland Brain Institute; University of Queensland; Brisbane QLD Australia
| | - G. Robinson
- School of Psychology; University of Queensland; Brisbane QLD Australia
| | - I. Dzafic
- Queensland Brain Institute; University of Queensland; Brisbane QLD Australia
| | - D. Reutens
- Centre for Advanced Imaging; University of Queensland; Brisbane QLD Australia
| | - B. Mowry
- Queensland Brain Institute; University of Queensland; Brisbane QLD Australia
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32
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Chen J, Xu Y, Zhang J, Liu Z, Xu C, Zhang K, Shen Y, Xu Q. A combined study of genetic association and brain imaging on the DAOA gene in schizophrenia. Am J Med Genet B Neuropsychiatr Genet 2013; 162B:191-200. [PMID: 23335491 DOI: 10.1002/ajmg.b.32131] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/06/2012] [Accepted: 12/24/2012] [Indexed: 01/05/2023]
Abstract
While there has been no objective biomarker available for both diagnosis and prognosis of schizophrenia, compelling evidence suggests that the glutamatergic system may influence susceptibility to schizophrenia. To test genetic association of the glutamatergic system with schizophrenia and abnormal brain activities in resting-state patients with schizophrenia, a two-stage association study was performed in 454 patients and 480 controls, followed by regional homogeneity (ReHo) analysis of resting-state functional magnetic resonance imaging in 48 first-episode medication-free patients and 43 well-matched controls. The differences in ReHo between genotypes of interest were initially tested by the Student's t-test and the 2 × 2 (genotypes × disease status) ANOVA was then performed to identify the main effects of genotypes, disease status and their interactions in schizophrenia. The stage-1 study showed association of the DAOA and PSEN2 genes with schizophrenia in a small sample; the stage-2 study with an expanded sample confirmed the disease association for 2-SNP and 3-SNP haplotypes, and the cis-phase interactions between rs2391191 and some other SNPs in the DAOA gene. Four clusters with altered ReHo in the bilateral culmen, left putamen and left cuneus were associated with rs2391191. Main effects of rs2391191 genotypes were found in the left putamen. The left cuneus showed a genotype × disease status interaction. In conclusion, the DAOA gene may confer genetic risk of schizophrenia and associate with the altered ReHo in schizophrenia; genotype effect and its interaction with disease status may contribute to the altered ReHo, leading to specific ReHo in schizophrenic brain due to glutamatergic modulation.
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Affiliation(s)
- Jun Chen
- National Laboratory of Medical Molecular Biology, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences, Peking Union Medical College, Tsinghua University, Beijing, PR China
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Momenan R, Steckler LE, Saad ZS, van Rafelghem S, Kerich MJ, Hommer DW. Effects of alcohol dependence on cortical thickness as determined by magnetic resonance imaging. Psychiatry Res 2012; 204:101-11. [PMID: 23149031 DOI: 10.1016/j.pscychresns.2012.05.003] [Citation(s) in RCA: 74] [Impact Index Per Article: 6.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/08/2011] [Revised: 05/08/2012] [Accepted: 05/14/2012] [Indexed: 11/16/2022]
Abstract
Alterations of brain structures have been seen in patients suffering from drug abuse or mental disorders like schizophrenia. Similar changes in volume of brain structures have been observed in both alcoholic men and women. We examined the thickness of gray matter in the cerebral cortex in control men and women (n=69, 47 men) and alcohol-dependent subjects (n=130, 83 men) to test the hypothesis that alcoholic inpatients would have more cortical damage than controls. We also hypothesized that alcoholic women would be more affected than alcoholic men. Alcoholic participants with a history of schizophrenia, psychotic, or bipolar disorder were excluded from the study. Volumetric structural magnetic resonance images were collected, 3D surfaces were created using Freesurfer, and statistical testing for cortical thickness differences was carried out using AFNI/SUMA. Covarying for age and years of education, we confirmed significant differences between alcoholics and healthy controls in cortical thickness in both the left and right hemispheres. Significant differences in cortical thickness between control men and women were also observed. These differences may reflect sexual dimorphisms in the human brain, a genetic predisposition to alcoholism and comorbid drug use, and the extent of gray matter damage in alcoholism and substance use.
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Affiliation(s)
- Reza Momenan
- Section for Brain Electrophysiology and Imaging, LCTS, National Institute on Alcohol Abuse and Alcoholism National Institutes of Health, 10 Center Drive, MSC 1108, Building 10, Room 1-5435, Bethesda, MD 20892-1256, USA.
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34
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Schultz CC, Fusar-Poli P, Wagner G, Koch K, Schachtzabel C, Gruber O, Sauer H, Schlösser RGM. Multimodal functional and structural imaging investigations in psychosis research. Eur Arch Psychiatry Clin Neurosci 2012; 262 Suppl 2:S97-106. [PMID: 22940744 DOI: 10.1007/s00406-012-0360-5] [Citation(s) in RCA: 38] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/22/2012] [Accepted: 08/15/2012] [Indexed: 12/15/2022]
Abstract
Substantial pathophysiological questions about the relationship of brain pathologies in psychosis can only be answered by multimodal neuroimaging approaches combining different imaging modalities such as structural MRI (sMRI), functional MRI (fMRI), diffusion tensor imaging (DTI), positron emission tomography (PET) and magnetic-resonance spectroscopy. In particular, the multimodal imaging approach has the potential to shed light on the neuronal mechanisms underlying the major brain structural and functional pathophysiological features of schizophrenia and high-risk states such as prefronto-temporal gray matter reduction, altered higher-order cognitive processing, or disturbed dopaminergic and glutamatergic neurotransmission. In recent years, valuable new findings have been revealed in these fields by multimodal imaging studies mostly reflecting a direct and aligned correlation of brain pathologies in psychosis. However, the amount of multimodal studies is still limited, and further efforts have to be made to consolidate previous findings and to extend the scope to other pathophysiological parameters contributing to the pathogenesis of psychosis. Here, investigating the genetic foundations of brain pathology relationships is a major challenge for future multimodal imaging applications in psychosis research.
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Affiliation(s)
- C Christoph Schultz
- Department of Psychiatry and Psychotherapy, Jena University Hospital, Philosophenweg 3, 07740 Jena, Germany.
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35
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Wagner G, Schultz CC, Koch K, Schachtzabel C, Sauer H, Schlösser RG. Prefrontal cortical thickness in depressed patients with high-risk for suicidal behavior. J Psychiatr Res 2012; 46:1449-55. [PMID: 22868048 DOI: 10.1016/j.jpsychires.2012.07.013] [Citation(s) in RCA: 114] [Impact Index Per Article: 9.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/18/2012] [Revised: 06/28/2012] [Accepted: 07/17/2012] [Indexed: 11/28/2022]
Abstract
Major depressive disorder (MDD) is associated with an increased risk for suicide. There is considerable evidence that a predisposition to suicidal behavior may exist which is independent of the MDD itself. Recent studies suggest a familial transmission of the diathesis for suicidal behavior, reflected in the observation of suicide aggregation in families and higher rate of suicidal behavior in first-degree relatives of suicide attempters with MDD. One of these transmission factors may be neurobiological alterations. The main goal of the present study was therefore to study abnormalities in cortical thickness in the hypothesized fronto-cingulate network in depressed patients with high risk for suicide. 15 MDD patients with documented own suicidal behavior and/or with suicidal behavior in first-degree relatives (high risk group), 15 depressed patients with non-high risk for suicide and 30 matched healthy controls participated in the study. Using an automated surface based approach (FreeSurfer) structural T1-weighted volumes were analyzed for differences in cortical thickness on a node by node basis covering the entire cortex. Patients with high risk for suicide showed significantly thinner cortex in the left dorsolateral, ventrolateral prefrontal cortex and the anterior cingulate in contrast to non-high risk patients. Together with previous morphometric results of our group, this new finding provides strong evidence for structural brain alterations in depressed patients with high risk for suicide in the fronto-cingulo-striatal network, which is strongly involved in reward processing and behavioral/emotional control. This alteration may constitute the neurobiological basis for an increased predisposition to suicidal behavior.
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Affiliation(s)
- Gerd Wagner
- Department of Psychiatry and Psychotherapy, Jena University Hospital, Centre for Neuroimaging, Jahnstr. 3, 07740 Jena, Germany.
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36
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Drews E, Otte DM, Zimmer A. Involvement of the primate specific gene G72 in schizophrenia: From genetic studies to pathomechanisms. Neurosci Biobehav Rev 2012; 37:2410-7. [PMID: 23092656 DOI: 10.1016/j.neubiorev.2012.10.009] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2012] [Revised: 09/03/2012] [Accepted: 10/15/2012] [Indexed: 12/28/2022]
Abstract
Schizophrenia is a human mental disorder that affects an individual's thoughts, perception, affect and behavior, which is caused by a complex interaction of genetic and environmental factors. Genetic studies have implicated the evolutionary novel, anthropoid primate-specific gene locus G72/G30 in the etiology of schizophrenia and other psychiatric disorders. This gene encodes the protein LG72, which has been discussed as a modulator of the peroxisomal enzyme d-amino-acid-oxidase (DAO), or, alternatively as a mitochondrial protein. Recently, G72 transgenic (G72Tg) mice were generated that express the protein throughout the brain. These mice show several behavioral deficits that are related to schizophrenia. Further, G72Tg mice have a reduced activity of mitochondrial complex I, with a concomitantly increased production of reactive oxygen species, as well as deficits in short-term plasticity. Results from these studies demonstrate that expression of the human G72/G30 gene locus in mice produces behavioral phenotypes that are relevant to schizophrenia. They implicate LG72-induced mitochondrial and synaptic defects as a possible pathomechanism of this disease.
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Affiliation(s)
- Eva Drews
- Institute of Molecular Psychiatry, University of Bonn, Germany.
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Chen J, Xu Y, Zhang J, Liu Z, Xu C, Zhang K, Shen Y, Xu Q. Genotypic association of the DAOA gene with resting-state brain activity in major depression. Mol Neurobiol 2012; 46:361-73. [PMID: 22851402 DOI: 10.1007/s12035-012-8294-5] [Citation(s) in RCA: 39] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2012] [Accepted: 06/21/2012] [Indexed: 11/25/2022]
Abstract
Compelling evidence suggests that the glutamatergic system may contribute to the pathophysiology of major depression (MDD). While the D-amino acid oxidase activator (DAOA) gene can affect glutamatergic function, its genetic associations with MDD and abnormal resting-state brain activity have yet to be elucidated. A total of 488 patients with MDD and 480 controls were recruited to examine MDD association for the DAOA gene in a Chinese population, of whom 53 medication-free patients and 46 well-matched controls underwent resting-state functional magnetic resonance imaging for regional homogeneity (ReHo) analysis. The differences in ReHo between genotypes of interest were initially tested by the Student's t test, and the 2 × 2 (genotypes × disease status) ANOVA was then performed to identify the main effects of genotypes, disease status, and their interactions in MDD. Allelic association of the DAOA gene with MDD was observed for rs2391191, rs3918341, and rs778294 and haplotypic association for 2- and 3-SNP haplotypes. Six clusters in the cerebellum, right middle frontal gyrus and left middle temporal gyrus showed genotypic association between altered ReHo and rs2391191. The main effects of rs2391191 genotypes were found in the right culmen and right middle frontal gyrus. The left uvula and left middle temporal gyrus showed a genotypes × disease status interaction. Our results suggest that the DAOA gene may confer genetic risk of MDD. Genotypic effect of rs2391191 and its interaction with disease status may contribute to the altered ReHo in patients with MDD. Glutamatergic modulation may play an important role in alteration of the resting-state brain activities.
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Affiliation(s)
- Jun Chen
- National Laboratory of Medical Molecular Biology, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences, and Peking Union Medical College, Tsinghua University, No.5 Dong Dan San Tiao, Beijing 100005, People's Republic of China
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Current world literature. Curr Opin Psychiatry 2012; 25:155-62. [PMID: 22297717 DOI: 10.1097/yco.0b013e3283514a53] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
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