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Berrocal-Rubio MA, Pawer YDJ, Dinevska M, De Paoli-Iseppi R, Widodo SS, Gleeson J, Rajab N, De Nardo W, Hallab J, Li A, Mantamadiotis T, Clark MB, Wells CA. Discovery of NRG1-VII: the myeloid-derived class of NRG1. BMC Genomics 2024; 25:814. [PMID: 39210279 PMCID: PMC11360300 DOI: 10.1186/s12864-024-10723-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2024] [Accepted: 08/19/2024] [Indexed: 09/04/2024] Open
Abstract
The growth factor Neuregulin-1 (NRG1) has pleiotropic roles in proliferation and differentiation of the stem cell niche in different tissues. It has been implicated in gut, brain and muscle development and repair. Six isoform classes of NRG1 and over 28 protein isoforms have been previously described. Here we report a new class of NRG1, designated NRG1-VII to denote that these NRG1 isoforms arise from a myeloid-specific transcriptional start site (TSS) previously uncharacterized. Long-read sequencing was used to identify eight high-confidence NRG1-VII transcripts. These transcripts presented major structural differences from one another, through the use of cassette exons and alternative stop codons. Expression of NRG1-VII was confirmed in primary human monocytes and tissue resident macrophages and induced pluripotent stem cell-derived macrophages (iPSC-derived macrophages). Isoform switching via cassette exon usage and alternate polyadenylation was apparent during monocyte maturation and macrophage differentiation. NRG1-VII is the major class expressed by the myeloid lineage, including tissue-resident macrophages. Analysis of public gene expression data indicates that monocytes and macrophages are a primary source of NRG1. The size and structure of class VII isoforms suggests that they may be more diffusible through tissues than other NRG1 classes. However, the specific roles of class VII variants in tissue homeostasis and repair have not yet been determined.
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Affiliation(s)
- Miguel A Berrocal-Rubio
- Department of Anatomy and Physiology, Faculty of Medicine, Dentistry and Health Sciences, The University of Melbourne, Melbourne, Australia
| | - Yair David Joseph Pawer
- Department of Anatomy and Physiology, Faculty of Medicine, Dentistry and Health Sciences, The University of Melbourne, Melbourne, Australia
| | - Marija Dinevska
- Department of Surgery, Royal Melbourne Hospital, The University of Melbourne, Melbourne, Australia
| | - Ricardo De Paoli-Iseppi
- Department of Anatomy and Physiology, Faculty of Medicine, Dentistry and Health Sciences, The University of Melbourne, Melbourne, Australia
| | - Samuel S Widodo
- Department of Surgery, Royal Melbourne Hospital, The University of Melbourne, Melbourne, Australia
| | - Josie Gleeson
- Department of Anatomy and Physiology, Faculty of Medicine, Dentistry and Health Sciences, The University of Melbourne, Melbourne, Australia
| | - Nadia Rajab
- Department of Anatomy and Physiology, Faculty of Medicine, Dentistry and Health Sciences, The University of Melbourne, Melbourne, Australia
| | - Will De Nardo
- Department of Anatomy and Physiology, Faculty of Medicine, Dentistry and Health Sciences, The University of Melbourne, Melbourne, Australia
| | - Jeannette Hallab
- Department of Anatomy and Physiology, Faculty of Medicine, Dentistry and Health Sciences, The University of Melbourne, Melbourne, Australia
| | - Anran Li
- Department of Anatomy and Physiology, Faculty of Medicine, Dentistry and Health Sciences, The University of Melbourne, Melbourne, Australia
| | - Theo Mantamadiotis
- Department of Surgery, Royal Melbourne Hospital, The University of Melbourne, Melbourne, Australia
- Department of Microbiology and Immunology, Faculty of Medicine, Dentistry and Health Sciences, The University of Melbourne, Melbourne, Australia
| | - Michael B Clark
- Department of Anatomy and Physiology, Faculty of Medicine, Dentistry and Health Sciences, The University of Melbourne, Melbourne, Australia
| | - Christine A Wells
- Department of Anatomy and Physiology, Faculty of Medicine, Dentistry and Health Sciences, The University of Melbourne, Melbourne, Australia.
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Janardhanan M, Sen S, Shankarappa B, Purushottam M. Molecular genetics of neuropsychiatric illness: some musings. Front Genet 2023; 14:1203017. [PMID: 38028602 PMCID: PMC10646253 DOI: 10.3389/fgene.2023.1203017] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/10/2023] [Accepted: 10/16/2023] [Indexed: 12/01/2023] Open
Abstract
Research into the genetic underpinnings of neuropsychiatric illness has occurred at many levels. As more information accumulates, it appears that many approaches may each offer their unique perspective. The search for low penetrance and common variants, that may mediate risk, has necessitated the formation of many international consortia, to pool resources, and achieve the large sample sizes needed to discover these variants. There has been the parallel development of statistical methods to analyse large datasets and present summary statistics which allows data comparison across studies. Even so, the results of studies on well-characterised clinical datasets of modest sizes can be enlightening and provide important clues to understanding these complex disorders. We describe the use of common variants, at multiallelic loci like TOMM40 and APOE to study dementia, weighted genetic risk scores for alcohol-induced liver cirrhosis and whole exome sequencing to identify rare variants in genes like PLA2G6 in familial psychoses and schizophrenia in our Indian population.
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Affiliation(s)
| | | | | | - Meera Purushottam
- Molecular Genetics Laboratory, Department of Psychiatry, National Institute of Mental Health and Neurosciences, Bengaluru, India
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So SHW, Chau AKC, Chung LKH, Leung CM, Chong GH, Chang WC, Mak AD, Chan SS, Lee S, Sommer IE. Moment-to-moment affective dynamics in schizophrenia and bipolar disorder. Eur Psychiatry 2023; 66:e67. [PMID: 37544924 PMCID: PMC10594258 DOI: 10.1192/j.eurpsy.2023.2438] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/01/2023] [Revised: 06/20/2023] [Accepted: 07/03/2023] [Indexed: 08/08/2023] Open
Abstract
BACKGROUND Affective disturbances in schizophrenia and bipolar disorder may represent a transdiagnostic etiological process as well as a target of intervention. Hypotheses on similarities and differences in various parameters of affective dynamics (intensity, successive/acute changes, variability, and reactivity to stress) between the two disorders were tested. METHODS Experience sampling method was used to assess dynamics of positive and negative affect, 10 times a day over 6 consecutive days. Patients with schizophrenia (n = 46) and patients with bipolar disorder (n = 46) were compared against age-matched healthy controls (n = 46). RESULTS Compared to controls, the schizophrenia group had significantly more intense momentary negative affect, a lower likelihood of acute changes in positive affect, and reduced within-person variability of positive affect. The bipolar disorder group was not significantly different from either the schizophrenia group or the healthy control group on any affect indexes. Within the schizophrenia group, level of depression was associated with weaker reactivity to stress for negative affect. Within the bipolar disorder group, level of depression was associated with lower positive affect. CONCLUSIONS Patients with schizophrenia endured a more stable and negative affective state than healthy individuals, and were less likely to be uplifted in response to happenings in daily life. There is little evidence that these affective constructs characterize the psychopathology of bipolar disorder; such investigation may have been limited by the heterogeneity within group. Our findings supported the clinical importance of assessing multiple facets of affective dynamics beyond the mean levels of intensity.
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Affiliation(s)
- Suzanne Ho-wai So
- Department of Psychology, The Chinese University of Hong Kong, Hong Kong, China
| | - Anson Kai Chun Chau
- Department of Psychology, The Chinese University of Hong Kong, Hong Kong, China
- Institute of Health Equity, The Chinese University of Hong Kong, Hong Kong, China
| | | | - Chung-ming Leung
- Department of Psychology, The Chinese University of Hong Kong, Hong Kong, China
| | - George H.C. Chong
- Department of Clinical Psychology, Kwai Chung Hospital, Hong Kong, China
| | - Wing Chung Chang
- Department of Psychiatry, The University of Hong Kong, Hong Kong, China
- State Key Laboratory of Brain and Cognitive Sciences, The University of Hong Kong, Hong Kong, China
| | - Arthur D.P. Mak
- Department of Psychiatry, The Chinese University of Hong Kong, Hong Kong, China
| | - Sandra S.M. Chan
- Department of Psychiatry, The Chinese University of Hong Kong, Hong Kong, China
| | - Sing Lee
- Department of Psychiatry, The Chinese University of Hong Kong, Hong Kong, China
| | - Iris E. Sommer
- Department of Psychiatry, University Medical Centre Groningen, The Netherlands
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Cao P, Chen C, Si Q, Li Y, Ren F, Han C, Zhao J, Wang X, Xu G, Sui Y. Volumes of hippocampal subfields suggest a continuum between schizophrenia, major depressive disorder and bipolar disorder. Front Psychiatry 2023; 14:1191170. [PMID: 37547217 PMCID: PMC10400724 DOI: 10.3389/fpsyt.2023.1191170] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/21/2023] [Accepted: 07/03/2023] [Indexed: 08/08/2023] Open
Abstract
Objective There is considerable debate as to whether the continuum of major psychiatric disorders exists and to what extent the boundaries extend. Converging evidence suggests that alterations in hippocampal volume are a common sign in psychiatric disorders; however, there is still no consensus on the nature and extent of hippocampal atrophy in schizophrenia (SZ), major depressive disorder (MDD) and bipolar disorder (BD). The aim of this study was to verify the continuum of SZ - BD - MDD at the level of hippocampal subfield volume and to compare the volume differences in hippocampal subfields in the continuum. Methods A total of 412 participants (204 SZ, 98 MDD, and 110 BD) underwent 3 T MRI scans, structured clinical interviews, and clinical scales. We segmented the hippocampal subfields with FreeSurfer 7.1.1 and compared subfields volumes across the three diagnostic groups by controlling for age, gender, education, and intracranial volumes. Results The results showed a gradual increase in hippocampal subfield volumes from SZ to MDD to BD. Significant volume differences in the total hippocampus and 13 of 26 hippocampal subfields, including CA1, CA3, CA4, GC-ML-DG, molecular layer and the whole hippocampus, bilaterally, and parasubiculum in the right hemisphere, were observed among diagnostic groups. Medication treatment had the most effect on subfields of MDD compared to SZ and BD. Subfield volumes were negatively correlated with illness duration of MDD. Positive correlations were found between subfield volumes and drug dose in SZ and MDD. There was no significant difference in laterality between diagnostic groups. Conclusion The pattern of hippocampal volume reduction in SZ, MDD and BD suggests that there may be a continuum of the three disorders at the hippocampal level. The hippocampus represents a phenotype that is distinct from traditional diagnostic strategies. Combined with illness duration and drug intervention, it may better reflect shared pathophysiology and mechanisms across psychiatric disorders.
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Affiliation(s)
- Peiyu Cao
- Department of Psychiatry, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing Brain Hospital, Nanjing, China
| | - Congxin Chen
- Women’s Hospital of Nanjing Medical University, Nanjing Maternity and Child Health Care Hospital, Nanjing, China
| | - Qi Si
- Department of Psychiatry, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing Brain Hospital, Nanjing, China
- Huai’an No. 3 People’s Hospital, Huai’an, China
| | - Yuting Li
- Department of Psychiatry, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing Brain Hospital, Nanjing, China
| | - Fangfang Ren
- Department of Psychiatry, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing Brain Hospital, Nanjing, China
| | - Chongyang Han
- Department of Psychiatry, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing Brain Hospital, Nanjing, China
| | - Jingjing Zhao
- Department of Psychiatry, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing Brain Hospital, Nanjing, China
| | - Xiying Wang
- Department of Psychiatry, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing Brain Hospital, Nanjing, China
| | - Guoxin Xu
- Department of Psychiatry, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing Brain Hospital, Nanjing, China
| | - Yuxiu Sui
- Department of Psychiatry, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing Brain Hospital, Nanjing, China
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Khan AQ, Thielen L, Le Pen G, Krebs MO, Kebir O, Groh A, Deest M, Bleich S, Frieling H, Jahn K. Methylation pattern and mRNA expression of synapse-relevant genes in the MAM model of schizophrenia in the time-course of adolescence. SCHIZOPHRENIA (HEIDELBERG, GERMANY) 2022; 8:110. [PMID: 36481661 PMCID: PMC9732294 DOI: 10.1038/s41537-022-00319-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 05/06/2022] [Accepted: 11/16/2022] [Indexed: 12/13/2022]
Abstract
Schizophrenia is highly heritable and aggregating in families, but genetics alone does not exclusively explain the pathogenesis. Many risk factors, including childhood trauma, viral infections, migration, and the use of cannabis, are associated with schizophrenia. Adolescence seems to be the critical period where symptoms of the disease manifest. This work focuses on studying an epigenetic regulatory mechanism (the role of DNA methylation) and its interaction with mRNA expression during development, with a particular emphasis on adolescence. The presumptions regarding the role of aberrant neurodevelopment in schizophrenia were tested in the Methyl-Azoxy-Methanol (MAM) animal model. MAM treatment induces neurodevelopmental disruptions and behavioral deficits in off-springs of the treated animals reminiscent of those observed in schizophrenia and is thus considered a promising model for studying this pathology. On a gestational day-17, adult pregnant rats were treated with the antimitotic agent MAM. Experimental animals were divided into groups and subgroups according to substance treatment (MAM and vehicle agent [Sham]) and age of analysis (pre-adolescent and post-adolescent). Methylation and mRNA expression analysis of four candidate genes, which are often implicated in schizophrenia, with special emphasis on the Dopamine hypothesis i.e., Dopamine receptor D2 (Drd2), and the "co-factors" Disrupted in schizophrenia 1 (DISC1), Synaptophysin (Syp), and Dystrobrevin-binding protein 1 (Dtnbp1), was performed in the Gyrus cingulum (CING) and prefrontal cortex (PFC). Data were analyzed to observe the effect of substance treatment between groups and the impact of adolescence within-group. We found reduced pre-adolescent expression levels of Drd2 in both brain areas under the application of MAM. The "co-factor genes" did not show high deviations in mRNA expression levels but high alterations of methylation rates under the application of MAM (up to ~20%), which diminished in the further time course, reaching a comparable level like in Sham control animals after adolescence. The pre-adolescent reduction in DRD2 expression might be interpreted as downregulation of the receptor due to hyperdopaminergic signaling from the ventral tegmental area (VTA), eventually even to both investigated brain regions. The notable alterations of methylation rates in the three analyzed co-factor genes might be interpreted as attempt to compensate for the altered dopaminergic neurotransmission.
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Affiliation(s)
- Abdul Qayyum Khan
- grid.10423.340000 0000 9529 9877Laboratory for Molecular Neurosciences (LMN), Department of Psychiatry, Social Psychiatry and Psychotherapy, Medical School Hannover (MHH), Carl-Neuberg-Str. 1, 30625 Hannover, Germany ,grid.444940.9University of Management and Technology—School of Pharmacy, 72-A Raiwind Rd, Dubai Town, Lahore Pakistan
| | - Lukas Thielen
- grid.10423.340000 0000 9529 9877Laboratory for Molecular Neurosciences (LMN), Department of Psychiatry, Social Psychiatry and Psychotherapy, Medical School Hannover (MHH), Carl-Neuberg-Str. 1, 30625 Hannover, Germany
| | - Gwenaëlle Le Pen
- grid.512035.0Université Paris Cité, Institute of Psychiatry and Neuroscience of Paris (IPNP), INSERM, Pathophysiology of Psychiatric disorders: Development and Vulnerability, U1266, 102-108 Rue de la Santé, 75014 Paris, France
| | - Marie-Odile Krebs
- grid.512035.0Université Paris Cité, Institute of Psychiatry and Neuroscience of Paris (IPNP), INSERM, Pathophysiology of Psychiatric disorders: Development and Vulnerability, U1266, 102-108 Rue de la Santé, 75014 Paris, France ,GHU Paris Psychiatrie et Neurosciences, 1 Rue Cabanis, 75014 Paris, France
| | - Oussama Kebir
- grid.512035.0Université Paris Cité, Institute of Psychiatry and Neuroscience of Paris (IPNP), INSERM, Pathophysiology of Psychiatric disorders: Development and Vulnerability, U1266, 102-108 Rue de la Santé, 75014 Paris, France ,GHU Paris Psychiatrie et Neurosciences, 1 Rue Cabanis, 75014 Paris, France
| | - Adrian Groh
- grid.10423.340000 0000 9529 9877Laboratory for Molecular Neurosciences (LMN), Department of Psychiatry, Social Psychiatry and Psychotherapy, Medical School Hannover (MHH), Carl-Neuberg-Str. 1, 30625 Hannover, Germany
| | - Maximilian Deest
- grid.10423.340000 0000 9529 9877Laboratory for Molecular Neurosciences (LMN), Department of Psychiatry, Social Psychiatry and Psychotherapy, Medical School Hannover (MHH), Carl-Neuberg-Str. 1, 30625 Hannover, Germany
| | - Stefan Bleich
- grid.10423.340000 0000 9529 9877Laboratory for Molecular Neurosciences (LMN), Department of Psychiatry, Social Psychiatry and Psychotherapy, Medical School Hannover (MHH), Carl-Neuberg-Str. 1, 30625 Hannover, Germany
| | - Helge Frieling
- grid.10423.340000 0000 9529 9877Laboratory for Molecular Neurosciences (LMN), Department of Psychiatry, Social Psychiatry and Psychotherapy, Medical School Hannover (MHH), Carl-Neuberg-Str. 1, 30625 Hannover, Germany
| | - Kirsten Jahn
- grid.10423.340000 0000 9529 9877Laboratory for Molecular Neurosciences (LMN), Department of Psychiatry, Social Psychiatry and Psychotherapy, Medical School Hannover (MHH), Carl-Neuberg-Str. 1, 30625 Hannover, Germany
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Cerri F, Gentile F, Clarelli F, Santoro S, Falzone YM, Dina G, Romano A, Domi T, Pozzi L, Fazio R, Podini P, Sorosina M, Carrera P, Esposito F, Riva N, Briani C, Cavallaro T, Filippi M, Quattrini A. Clinical and pathological findings in neurolymphomatosis: Preliminary association with gene expression profiles in sural nerves. Front Oncol 2022; 12:974751. [PMID: 36226068 PMCID: PMC9549065 DOI: 10.3389/fonc.2022.974751] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2022] [Accepted: 08/22/2022] [Indexed: 11/13/2022] Open
Abstract
Although inflammation appears to play a role in neurolymphomatosis (NL), the mechanisms leading to degeneration in the peripheral nervous system are poorly understood. The purpose of this exploratory study was to identify molecular pathways underlying NL pathogenesis, combining clinical and neuropathological investigation with gene expression (GE) studies. We characterized the clinical and pathological features of eight patients with NL. We further analysed GE changes in sural nerve biopsies obtained from a subgroup of NL patients (n=3) and thirteen patients with inflammatory neuropathies as neuropathic controls. Based on the neuropathic symptoms and signs, NL patients were classified into three forms of neuropathy: chronic symmetrical sensorimotor polyneuropathy (SMPN, n=3), multiple mononeuropathy (MN, n=4) and acute motor-sensory axonal neuropathy (AMSAN, n=1). Predominantly diffuse malignant cells infiltration of epineurium was present in chronic SMPN, whereas endoneurial perivascular cells invasion was observed in MN. In contrast, diffuse endoneurium malignant cells localization occurred in AMSAN. We identified alterations in the expression of 1266 genes, with 115 up-regulated and 1151 down-regulated genes, which were mainly associated with ribosomal proteins (RP) and olfactory receptors (OR) signaling pathways, respectively. Among the top up-regulated genes were actin alpha 1 skeletal muscle (ACTA1) and desmin (DES). Similarly, in NL nerves ACTA1, DES and several RPs were highly expressed, associated with endothelial cells and pericytes abnormalities. Peripheral nerve involvement may be due to conversion towards a more aggressive phenotype, potentially explaining the poor prognosis. The candidate genes reported in this study may be a source of clinical biomarkers for NL.
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Affiliation(s)
- Federica Cerri
- Experimental Neuropathology Unit, Institute of Experimental Neurology, Division of Neuroscience, IRCCS Ospedale San Raffaele Scientific Institute, Milan, Italy
- Department of Neurology, IRCCS Ospedale San Raffaele Scientific Institute, Milan, Italy
| | - Francesco Gentile
- Experimental Neuropathology Unit, Institute of Experimental Neurology, Division of Neuroscience, IRCCS Ospedale San Raffaele Scientific Institute, Milan, Italy
- Department of Neurology IRCCS Istituto Auxologico Italiano, Milan, Italy
| | - Ferdinando Clarelli
- Laboratory of Human Genetics of Neurological Disorders, Institute of Experimental Neurology, Division of Neuroscience, IRCCS Ospedale San Raffaele Scientific Institute, Milan, Italy
| | - Silvia Santoro
- Laboratory of Human Genetics of Neurological Disorders, Institute of Experimental Neurology, Division of Neuroscience, IRCCS Ospedale San Raffaele Scientific Institute, Milan, Italy
| | - Yuri Matteo Falzone
- Experimental Neuropathology Unit, Institute of Experimental Neurology, Division of Neuroscience, IRCCS Ospedale San Raffaele Scientific Institute, Milan, Italy
- Department of Neurology IRCCS Istituto Auxologico Italiano, Milan, Italy
| | - Giorgia Dina
- Experimental Neuropathology Unit, Institute of Experimental Neurology, Division of Neuroscience, IRCCS Ospedale San Raffaele Scientific Institute, Milan, Italy
| | - Alessandro Romano
- Experimental Neuropathology Unit, Institute of Experimental Neurology, Division of Neuroscience, IRCCS Ospedale San Raffaele Scientific Institute, Milan, Italy
| | - Teuta Domi
- Experimental Neuropathology Unit, Institute of Experimental Neurology, Division of Neuroscience, IRCCS Ospedale San Raffaele Scientific Institute, Milan, Italy
| | - Laura Pozzi
- Experimental Neuropathology Unit, Institute of Experimental Neurology, Division of Neuroscience, IRCCS Ospedale San Raffaele Scientific Institute, Milan, Italy
| | - Raffaella Fazio
- Department of Neurology, IRCCS Ospedale San Raffaele Scientific Institute, Milan, Italy
| | - Paola Podini
- Experimental Neuropathology Unit, Institute of Experimental Neurology, Division of Neuroscience, IRCCS Ospedale San Raffaele Scientific Institute, Milan, Italy
| | - Melissa Sorosina
- Laboratory of Human Genetics of Neurological Disorders, Institute of Experimental Neurology, Division of Neuroscience, IRCCS Ospedale San Raffaele Scientific Institute, Milan, Italy
| | - Paola Carrera
- Division of Genetics and Cell Biology and Laboratory of Clinical Molecular Biology and Cytogenetics, Unit of Genomics for Human Disease Diagnosis, IRCCS Ospedale San Raffaele Scientific Institute, Milan, Italy
| | - Federica Esposito
- Department of Neurology, IRCCS Ospedale San Raffaele Scientific Institute, Milan, Italy
- Laboratory of Human Genetics of Neurological Disorders, Institute of Experimental Neurology, Division of Neuroscience, IRCCS Ospedale San Raffaele Scientific Institute, Milan, Italy
| | - Nilo Riva
- Experimental Neuropathology Unit, Institute of Experimental Neurology, Division of Neuroscience, IRCCS Ospedale San Raffaele Scientific Institute, Milan, Italy
- Department of Neurology, IRCCS Ospedale San Raffaele Scientific Institute, Milan, Italy
- *Correspondence: Nilo Riva, ; Angelo Quattrini,
| | - Chiara Briani
- Department of Neuroscience , University of Padova, Padova, Italy
| | - Tiziana Cavallaro
- Department of Neurology, Azienda Ospedaliera Universitaria Integrata, University Hospital G.B. Rossi, Verona, Italy
| | - Massimo Filippi
- Department of Neurology, IRCCS Ospedale San Raffaele Scientific Institute, Milan, Italy
| | - Angelo Quattrini
- Experimental Neuropathology Unit, Institute of Experimental Neurology, Division of Neuroscience, IRCCS Ospedale San Raffaele Scientific Institute, Milan, Italy
- *Correspondence: Nilo Riva, ; Angelo Quattrini,
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Mokhtari MA, Sargazi S, Saravani R, Heidari Nia M, Mirinejad S, Hadzsiev K, Bene J, Shakiba M. Genetic Polymorphisms in miR-137 and Its Target Genes, TCF4 and CACNA1C, Contribute to the Risk of Bipolar Disorder: A Preliminary Case-Control Study and Bioinformatics Analysis. DISEASE MARKERS 2022; 2022:1886658. [PMID: 36193501 PMCID: PMC9526595 DOI: 10.1155/2022/1886658] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/04/2022] [Accepted: 09/02/2022] [Indexed: 11/21/2022]
Abstract
Accumulating evidence has suggested that miR-137 and its target genes, CACNA1C, and TCF4, are amongst the most robustly implicated genes in psychiatric disorders. This preliminary study is aimed at investigating the effects of genetic variations in miR-137 (rs1625579A/C), TCF4 (rs1261084C/T), and CACNA1C (rs10774053A/G and rs10466907G/T) on BD susceptibility. We recruited 252 BD patients and 213 healthy subjects as the control group. Genotyping was performed using PCR-RFLP and ARMS-PCR methods. Enhanced risk of BD was found under the codominant homozygous, dominant, and allelic models of TCF4 rs1261084C/T, codominant homozygous and allelic models of CACNA1C rs10466907G/T polymorphisms, as well as codominant homozygous, dominant, recessive, and allelic models of the CACNA1C rs10774053A/G. Moreover, both TT/AG/GT/AA and TT/GG/GT/AC genotype combinations strongly increased the risk of BD in the participants. The bioinformatics analyses revealed that rs1261084C/T and rs10466907G/T created and disrupted binding sites of some miRNAs in the 3'-untranslated region of TCF4 and CACNA1C genes. In contrast, the rs10774053A/G created a new binding site for a major splicing factor and might have an effective role in the function of the CACNA1C protein. We have found that all the studied SNPs are positively associated with BD susceptibility. Replicated studies on different ethnicities are required to confirm these findings.
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Affiliation(s)
- Mohammad Ali Mokhtari
- Department of Clinical Biochemistry, School of Medicine, Zahedan University of Medical Sciences, Zahedan 98167-43463, Iran
| | - Saman Sargazi
- Cellular and Molecular Research Center, Research Institute of Cellular and Molecular Sciences in Infectious Diseases, Zahedan University of Medical Sciences, Zahedan 98167-43463, Iran
| | - Ramin Saravani
- Department of Clinical Biochemistry, School of Medicine, Zahedan University of Medical Sciences, Zahedan 98167-43463, Iran
- Cellular and Molecular Research Center, Research Institute of Cellular and Molecular Sciences in Infectious Diseases, Zahedan University of Medical Sciences, Zahedan 98167-43463, Iran
| | - Milad Heidari Nia
- Cellular and Molecular Research Center, Research Institute of Cellular and Molecular Sciences in Infectious Diseases, Zahedan University of Medical Sciences, Zahedan 98167-43463, Iran
| | - Shekoufeh Mirinejad
- Cellular and Molecular Research Center, Research Institute of Cellular and Molecular Sciences in Infectious Diseases, Zahedan University of Medical Sciences, Zahedan 98167-43463, Iran
| | - Kinga Hadzsiev
- Department of Medical Genetics, Clinical Center, Medical School, University of Pécs, Pécs H-7624, Hungary
| | - Judit Bene
- Department of Medical Genetics, Clinical Center, Medical School, University of Pécs, Pécs H-7624, Hungary
| | - Mansoor Shakiba
- Department of Psychiatry, Zahedan University of Medical Sciences, Zahedan 98167-43463, Iran
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8
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Lu C, Feng Y, Li H, Gao Z, Zhu X, Hu J. A preclinical study of deep brain stimulation in the ventral tegmental area for alleviating positive psychotic-like behaviors in mice. Front Hum Neurosci 2022; 16:945912. [PMID: 36034113 PMCID: PMC9399924 DOI: 10.3389/fnhum.2022.945912] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2022] [Accepted: 06/14/2022] [Indexed: 11/13/2022] Open
Abstract
Deep brain stimulation (DBS) is a clinical intervention for the treatment of movement disorders. It has also been applied to the treatment of psychiatric disorders such as depression, anorexia nervosa, obsessive-compulsive disorder, and schizophrenia. Psychiatric disorders including schizophrenia, bipolar disorder, and major depression can lead to psychosis, which can cause patients to lose touch with reality. The ventral tegmental area (VTA), located near the midline of the midbrain, is an important region involved in psychosis. However, the clinical application of electrical stimulation of the VTA to treat psychotic diseases has been limited, and related mechanisms have not been thoroughly studied. In the present study, hyperlocomotion and stereotyped behaviors of the mice were employed to mimic and evaluate the positive-psychotic-like behaviors. We attempted to treat positive psychotic-like behaviors by electrically stimulating the VTA in mice and exploring the neural mechanisms behind behavioral effects. Local field potential recording and in vivo fiber photometry to observe the behavioral effects and changes in neural activities caused by DBS in the VTA of mice. Optogenetic techniques were used to verify the neural mechanisms underlying the behavioral effects induced by DBS. Our results showed that electrical stimulation of the VTA activates local gamma-aminobutyric acid (GABA) neurons, and dopamine (DA) neurons, reduces hyperlocomotion, and relieves stereotyped behaviors induced by MK-801 (dizocilpine) injection. The results of optogenetic manipulation showed that the activation of the VTA GABA neurons, but not DA neurons, is involved in the alleviation of hyperlocomotion and stereotyped behaviors. We visualized changes in the activity of specific types in specific brain areas induced by DBS, and explored the neural mechanism of DBS in alleviating positive psychotic-like behaviors. This preclinical study not only proposes new technical means of exploring the mechanism of DBS, but also provides experimental justification for the clinical treatment of psychotic diseases by electrical stimulation of the VTA.
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Affiliation(s)
- Chen Lu
- School of Life Science and Technology, Shanghai Tech University, Shanghai, China
- Institute of Neuroscience, State Key Laboratory of Neuroscience, CAS Center for Excellence in Brain Science and Intelligence Technology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai, China
- University of Chinese Academy of Sciences, Beijing, China
| | - Yifan Feng
- School of Life Science and Technology, Shanghai Tech University, Shanghai, China
| | - Hongxia Li
- Department of Neurology and Institute of Neurology, Ruijin Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Zilong Gao
- School of Life Sciences, Westlake University, Hangzhou, China
| | - Xiaona Zhu
- School of Life Science and Technology, Shanghai Tech University, Shanghai, China
| | - Ji Hu
- School of Life Science and Technology, Shanghai Tech University, Shanghai, China
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9
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Washer SJ, Flynn R, Oguro‐Ando A, Hannon E, Burrage J, Jeffries A, Mill J, Dempster EL. Functional characterization of the schizophrenia associated gene AS3MT identifies a role in neuronal development. Am J Med Genet B Neuropsychiatr Genet 2022; 189:151-162. [PMID: 35719055 PMCID: PMC9546433 DOI: 10.1002/ajmg.b.32905] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/27/2021] [Revised: 04/05/2022] [Accepted: 05/28/2022] [Indexed: 11/06/2022]
Abstract
Genome-wide association studies (GWAS) have identified multiple genomic regions associated with schizophrenia, although many variants reside in noncoding regions characterized by high linkage disequilibrium (LD) making the elucidation of molecular mechanisms challenging. A genomic region on chromosome 10q24 has been consistently associated with schizophrenia with risk attributed to the AS3MT gene. Although AS3MT is hypothesized to play a role in neuronal development and differentiation, work to fully understand the function of this gene has been limited. In this study we explored the function of AS3MT using a neuronal cell line (SH-SY5Y). We confirm previous findings of isoform specific expression of AS3MT during SH-SY5Y differentiation toward neuronal fates. Using CRISPR-Cas9 gene editing we generated AS3MT knockout SH-SY5Y cell lines and used RNA-seq to identify significant changes in gene expression in pathways associated with neuronal development, inflammation, extracellular matrix formation, and RNA processing, including dysregulation of other genes strongly implicated in schizophrenia. We did not observe any morphological changes in cell size and neurite length following neuronal differentiation and MAP2 immunocytochemistry. These results provide novel insights into the potential role of AS3MT in brain development and identify pathways through which genetic variation in this region may confer risk for schizophrenia.
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Affiliation(s)
- Sam J. Washer
- University of Exeter College of Medicine and Health, University of ExeterExeterUK,Cellular Operations, Wellcome Sanger Institute, Wellcome Genome CampusHinxtonUK
| | - Robert Flynn
- University of Exeter College of Medicine and Health, University of ExeterExeterUK
| | - Asami Oguro‐Ando
- University of Exeter College of Medicine and Health, University of ExeterExeterUK
| | - Eilis Hannon
- University of Exeter College of Medicine and Health, University of ExeterExeterUK
| | - Joe Burrage
- University of Exeter College of Medicine and Health, University of ExeterExeterUK
| | - Aaron Jeffries
- University of Exeter College of Medicine and Health, University of ExeterExeterUK
| | - Jonathan Mill
- University of Exeter College of Medicine and Health, University of ExeterExeterUK
| | - Emma L. Dempster
- University of Exeter College of Medicine and Health, University of ExeterExeterUK
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10
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Alameda L, Trotta G, Quigley H, Rodriguez V, Gadelrab R, Dwir D, Dempster E, Wong CCY, Forti MD. Can epigenetics shine a light on the biological pathways underlying major mental disorders? Psychol Med 2022; 52:1645-1665. [PMID: 35193719 PMCID: PMC9280283 DOI: 10.1017/s0033291721005559] [Citation(s) in RCA: 17] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/19/2021] [Revised: 11/30/2021] [Accepted: 12/29/2021] [Indexed: 12/27/2022]
Abstract
A significant proportion of the global burden of disease can be attributed to mental illness. Despite important advances in identifying risk factors for mental health conditions, the biological processing underlying causal pathways to disease onset remain poorly understood. This represents a limitation to implement effective prevention and the development of novel pharmacological treatments. Epigenetic mechanisms have emerged as mediators of environmental and genetic risk factors which might play a role in disease onset, including childhood adversity (CA) and cannabis use (CU). Particularly, human research exploring DNA methylation has provided new and promising insights into the role of biological pathways implicated in the aetio-pathogenesis of psychiatric conditions, including: monoaminergic (Serotonin and Dopamine), GABAergic, glutamatergic, neurogenesis, inflammatory and immune response and oxidative stress. While these epigenetic changes have been often studied as disease-specific, similarly to the investigation of environmental risk factors, they are often transdiagnostic. Therefore, we aim to review the existing literature on DNA methylation from human studies of psychiatric diseases (i) to identify epigenetic modifications mapping onto biological pathways either transdiagnostically or specifically related to psychiatric diseases such as Eating Disorders, Post-traumatic Stress Disorder, Bipolar and Psychotic Disorder, Depression, Autism Spectrum Disorder and Anxiety Disorder, and (ii) to investigate a convergence between some of these epigenetic modifications and the exposure to known risk factors for psychiatric disorders such as CA and CU, as well as to other epigenetic confounders in psychiatry research.
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Affiliation(s)
- Luis Alameda
- Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
- Departamento de Psiquiatría, Centro Investigación Biomedica en Red de Salud Mental (CIBERSAM), Instituto de Biomedicina de Sevilla (IBIS), Hospital Universitario Virgen del Rocío, Universidad de Sevilla, Sevilla, Spain
| | - Giulia Trotta
- Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, King's College London, London, UK
| | - Harriet Quigley
- Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Victoria Rodriguez
- Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Romayne Gadelrab
- Centre for Affective Disorders, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Daniella Dwir
- Department of Psychiatry, Center for Psychiatric Neuroscience, Lausanne University Hospital (CHUV), Lausanne, Switzerland
| | - Emma Dempster
- University of Exeter Medical School, University of Exeter, Barrack Road, Exeter, UK
| | - Chloe C. Y. Wong
- Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, King's College London, London, UK
| | - Marta Di Forti
- Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, King's College London, London, UK
- South London and Maudsley NHS Foundation Trust, London, UK
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11
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Saleem A, Qurat-ul-Ain, Akhtar MF. Alternative Therapy of Psychosis: Potential Phytochemicals and Drug Targets in the Management of Schizophrenia. Front Pharmacol 2022; 13:895668. [PMID: 35656298 PMCID: PMC9152363 DOI: 10.3389/fphar.2022.895668] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2022] [Accepted: 04/18/2022] [Indexed: 11/25/2022] Open
Abstract
Schizophrenia is a chronic mental and behavioral disorder characterized by clusters of symptoms including hallucinations, delusions, disorganized thoughts and social withdrawal. It is mainly contributed by defects in dopamine, glutamate, cholinergic and serotonergic pathways, genetic and environmental factors, prenatal infections, oxidative stress, immune system activation and inflammation. Management of schizophrenia is usually carried out with typical and atypical antipsychotics, but it yields modest benefits with a diversity of side effects. Therefore, the current study was designed to determine the phytochemicals as new drug candidates for treatment and management of schizophrenia. These phytochemicals alter and affect neurotransmission, cell signaling pathways, endocannabinoid receptors, neuro-inflammation, activation of immune system and status of oxidative stress. Phytochemicals exhibiting anti-schizophrenic activity are mostly flavonoids, polyphenols, alkaloids, terpenoids, terpenes, polypropanoids, lactones and glycosides. However, well-designed clinical trials are consequently required to investigate potential protective effect and therapeutic benefits of these phytochemicals against schizophrenia.
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Affiliation(s)
- Ammara Saleem
- Department of Pharmacology, Faculty of Pharmaceutical Sciences, Government College University Faisalabad, Faisalabad, Pakistan
| | - Qurat-ul-Ain
- Department of Pharmacology, Faculty of Pharmaceutical Sciences, Government College University Faisalabad, Faisalabad, Pakistan
- Riphah Institute of Pharmaceutical Sciences, Riphah International University, Lahore, Pakistan
| | - Muhammad Furqan Akhtar
- Riphah Institute of Pharmaceutical Sciences, Riphah International University, Lahore, Pakistan
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12
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Fernandes TP, Shoshina II, Oliveira MEC, Andreevna VE, Silva GM, Santos NA. Correlates of clinical variables on early-stage visual processing in schizophrenia and bipolar disorder. J Psychiatr Res 2022; 149:323-330. [PMID: 35339912 DOI: 10.1016/j.jpsychires.2022.03.014] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/15/2022] [Revised: 02/27/2022] [Accepted: 03/07/2022] [Indexed: 12/15/2022]
Abstract
The use of noninvasive tools can help understand mental states and changes that are caused by medications, symptom severity, and other clinical variables. We investigated low-level visual processing using the contrast sensitivity function (CSF), a reliable, robust, and widely used approach. Our main purpose was (1) to evaluate visual impairments in schizophrenia (SCZ) and bipolar disorder (BPD) patients and (2) to investigate associations between clinical variables and visual function in both diseases. Fifty-six healthy controls (HCs; mean age = 31.04 years), 42 BPD patients (mean age = 32.84 years) who took only lithium, and 39 SCZ patients who took only olanzapine (mean age = 32.80 years) were recruited for this study. CSF differed between groups. Both groups of patients exhibited lower discrimination at low, mid-, and high spatial frequencies compared with HCs. No differences were observed between patients, with the exception of high spatial frequency. These impairments were also related to clinical variables, revealed by a strong effect in the mediation analyses. These findings may aid investigations of other clinical variables and the role of state- and trait-like effects on visual and cognitive processing in these patient populations. This study underscores the need for visual remediation interventions.
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Affiliation(s)
- Thiago P Fernandes
- Department of Psychology, Federal University of Paraiba, Joao Pessoa, Brazil; Perception, Neuroscience and Behaviour Laboratory, Federal University of Paraiba, Brazil.
| | - Irina I Shoshina
- Pavlov Institute of Physiology, Russian Academy of Sciences, St. Petersburg, Russia
| | - Milena E C Oliveira
- Department of Psychology, Federal University of Paraiba, Joao Pessoa, Brazil; Perception, Neuroscience and Behaviour Laboratory, Federal University of Paraiba, Brazil
| | | | - Gabriella M Silva
- Department of Psychology, Federal University of Paraiba, Joao Pessoa, Brazil; Perception, Neuroscience and Behaviour Laboratory, Federal University of Paraiba, Brazil
| | - Natanael A Santos
- Department of Psychology, Federal University of Paraiba, Joao Pessoa, Brazil; Perception, Neuroscience and Behaviour Laboratory, Federal University of Paraiba, Brazil
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13
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Luttenbacher I, Phillips A, Kazemi R, Hadipour AL, Sanghvi I, Martinez J, Adamson MM. Transdiagnostic role of glutamate and white matter damage in neuropsychiatric disorders: A Systematic Review. J Psychiatr Res 2022; 147:324-348. [PMID: 35151030 DOI: 10.1016/j.jpsychires.2021.12.042] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/21/2021] [Revised: 12/08/2021] [Accepted: 12/19/2021] [Indexed: 12/09/2022]
Abstract
Neuropsychiatric disorders including generalized anxiety disorder (GAD), obsessive-compulsive disorder (OCD), major depressive disorder (MDD), bipolar disorder (BD), and schizophrenia (SZ) have been considered distinct categories of diseases despite their overlapping characteristics and symptomatology. We aimed to provide an in-depth review elucidating the role of glutamate/Glx and white matter (WM) abnormalities in these disorders from a transdiagnostic perspective. The PubMed online database was searched for studies published between 2010 and 2021. After careful screening, 401 studies were included. The findings point to decreased levels of glutamate in the Anterior Cingulate Cortex in both SZ and BD, whereas Glx is elevated in the Hippocampus in SZ and MDD. With regard to WM abnormalities, the Corpus Callosum and superior Longitudinal Fascicle were the most consistently identified brain regions showing decreased fractional anisotropy (FA) across all the reviewed disorders, except GAD. Additionally, the Uncinate Fasciculus displayed decreased FA in all disorders, except OCD. Decreased FA was also found in the inferior Longitudinal Fasciculus, inferior Fronto-Occipital Fasciculus, Thalamic Radiation, and Corona Radiata in SZ, BD, and MDD. Decreased FA in the Fornix and Corticospinal Tract were found in BD and SZ patients. The Cingulum and Anterior Limb of Internal Capsule exhibited decreased FA in MDD and SZ patients. The results suggest a gradual increase in severity from GAD to SZ defined by the number of brain regions with WM abnormality which may be partially caused by abnormal glutamate levels. WM damage could thus be considered a potential marker of some of the main neuropsychiatric disorders.
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Affiliation(s)
- Ines Luttenbacher
- Department of Social & Behavioral Sciences, University of Amsterdam, Amsterdam, Netherlands; Rehabilitation Service, Veterans Affairs Palo Alto Health Care System, Palo Alto, CA, USA
| | - Angela Phillips
- Rehabilitation Service, Veterans Affairs Palo Alto Health Care System, Palo Alto, CA, USA; Department of Psychiatry & Behavioral Sciences, Stanford University School of Medicine, Stanford, CA, USA
| | - Reza Kazemi
- Department of Cognitive Psychology, Institute for Cognitive Science Studies, Tehran, Iran
| | - Abed L Hadipour
- Department of Cognitive Sciences, University of Messina, Messina, Italy
| | - Isha Sanghvi
- Rehabilitation Service, Veterans Affairs Palo Alto Health Care System, Palo Alto, CA, USA; Department of Neuroscience, University of Southern California, Los Angeles, CA, USA
| | - Julian Martinez
- Rehabilitation Service, Veterans Affairs Palo Alto Health Care System, Palo Alto, CA, USA; Palo Alto University, Palo Alto, CA, USA
| | - Maheen M Adamson
- Rehabilitation Service, Veterans Affairs Palo Alto Health Care System, Palo Alto, CA, USA; Department of Neurosurgery, Stanford University School of Medicine, Stanford, CA, USA.
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14
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El Nagar Z, El Shahawi HH, Effat SM, El Sheikh MM, Adel A, Ibrahim YA, Aufa OM. Single episode brief psychotic disorder versus bipolar disorder: A diffusion tensor imaging and executive functions study. Schizophr Res Cogn 2022; 27:100214. [PMID: 34557386 PMCID: PMC8446778 DOI: 10.1016/j.scog.2021.100214] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2021] [Revised: 08/21/2021] [Accepted: 08/23/2021] [Indexed: 11/29/2022]
Abstract
BACKGROUND Despite fast progress in neuroscientific approaches, the neurobiological continuum links psychotic spectrum, and affective disorder is obscure. White matter WM abnormalities found utilizing Diffusion Tensor Imaging (DTI) showing impaired communication in both disorders have been consistently demonstrated; however, direct comparisons of findings between them are scarce. This study aims to study WM abnormalities in single episode bipolar I disorder, and single episode brief psychotic disorder related to healthy control with the association of executive function. METHODS A cross-sectional case-control study was used to assess 60 subjects divided into 20 patients with single episode bipolar I disorder, 20 individuals with single episode brief psychotic disorder (both groups of patients were in remission), and 20 healthy controls. The present study examined the superior longitudinal fasciculus (SLF), and cingulum bundle fractional anisotropy (FA) determined from DTI images symmetrically and connected these results with cognitive functions as assessed by the trail making test (TMT) and Wisconsin card sorting test (WCST). RESULTS DTI data indicated that the psychotic group had a significant decrease in FA of the right SLF (p-value less than 0.001), left SLF (p-value less than 0.001), and left cingulum (p-value less than 0.001) than the bipolar I group. In terms of executive functioning, the psychotic group performed significantly worse than the bipolar I group on the TMT part B (p-value less than 0.001), the WCST (number of classifications fulfilled) (p-value less than 0.001), and perseverative errors (p-value less than 0.001). CONCLUSION Even after clinical remission, individuals with single episode brief psychotic disorder had more pronounced white matter impairments and executive function deficiencies than individuals with single episode bipolar I disorder.
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Affiliation(s)
- Zeinab El Nagar
- Institute of Psychiatry, Faculty of Medicine, Ain Shams University, Cairo, Egypt
| | - Heba H. El Shahawi
- Institute of Psychiatry, Faculty of Medicine, Ain Shams University, Cairo, Egypt
| | - Safeya M. Effat
- Institute of Psychiatry, Faculty of Medicine, Ain Shams University, Cairo, Egypt
| | - Mona M. El Sheikh
- Institute of Psychiatry, Faculty of Medicine, Ain Shams University, Cairo, Egypt
| | - Ahmed Adel
- Institute of Psychiatry, Faculty of Medicine, Ain Shams University, Cairo, Egypt
| | - Yosra A. Ibrahim
- Radiology Department, Faculty of Medicine, Ain Shams University, Cairo, Egypt
| | - Ola M. Aufa
- Institute of Psychiatry, Faculty of Medicine, Ain Shams University, Cairo, Egypt
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15
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Qi Z, Wang J, Gong J, Su T, Fu S, Huang L, Wang Y. Common and specific patterns of functional and structural brain alterations in schizophrenia and bipolar disorder: a multimodal voxel-based meta-analysis. J Psychiatry Neurosci 2022; 47:E32-E47. [PMID: 35105667 PMCID: PMC8812718 DOI: 10.1503/jpn.210111] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/08/2021] [Revised: 10/12/2021] [Accepted: 11/16/2021] [Indexed: 01/10/2023] Open
Abstract
BACKGROUND Schizophrenia and bipolar disorder have been linked to alterations in the functional activity and grey matter volume of some brain areas, reflected in impaired regional homogeneity and aberrant voxel-based morphometry. However, because of variable findings and methods used across studies, identifying patterns of brain alteration in schizophrenia and bipolar disorder has been difficult. METHODS We conducted a meta-analysis of differences in regional homogeneity and voxel-based morphometry between patients and healthy controls for schizophrenia and bipolar disorder separately, using seed-based d mapping. RESULTS We included 45 publications on regional homogeneity (26 in schizophrenia and 19 in bipolar disorder) and 190 publications on voxel-based morphometry (120 in schizophrenia and 70 in bipolar disorder). Patients with schizophrenia showed increased regional homogeneity in the frontal cortex and striatum and the supplementary motor area; they showed decreased regional homogeneity in the insula, primary sensory cortex (visual and auditory cortices) and sensorimotor cortex. Patients with bipolar disorder showed increased regional homogeneity in the frontal cortex and striatum; they showed decreased regional homogeneity in the insula. Patients with schizophrenia showed decreased grey matter volume in the superior temporal gyrus, inferior frontal gyrus, cingulate cortex and cerebellum. Patients with bipolar disorder showed decreased grey matter volume in the insula, cingulate cortex, frontal cortex and thalamus. Overlap analysis showed that patients with schizophrenia displayed decreased regional homogeneity and grey matter volume in the left insula and left superior temporal gyrus; patients with bipolar disorder displayed decreased regional homogeneity and grey matter volume in the left insula. LIMITATIONS The small sample size for our subgroup analysis (unmedicated versus medicated patients and substantial heterogeneity in the results for some regions could limit the interpretability and generalizability of the results. CONCLUSION Patients with schizophrenia and bipolar disorder shared a common pattern of regional functional and structural alterations in the insula and frontal cortex. Patients with schizophrenia showed more widespread functional and structural impairment, most prominently in the primary sensory motor areas.
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Affiliation(s)
| | - Junjing Wang
- From the Medical Imaging Center, First Affiliated Hospital of Jinan University, Guangzhou 510630, China (Qi, Su, Fu, Huang, Y. Wang); the Institute of Molecular and Functional Imaging, Jinan University, Guangzhou, China (Qi, Su, Fu, Huang, Y. Wang); the Department of Applied Psychology, Guangdong University of Foreign Studies, Guangzhou, China (J. Wang); and the Department of Radiology, Six Affiliated Hospital of Sun Yat-sen University, Guangzhou, China (Gong)
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San-Martin R, Zimiani MI, de Ávila MAV, Shuhama R, Del-Ben CM, Menezes PR, Fraga FJ, Salum C. Early Schizophrenia and Bipolar Disorder Patients Display Reduced Neural Prepulse Inhibition. Brain Sci 2022; 12:93. [PMID: 35053836 PMCID: PMC8773710 DOI: 10.3390/brainsci12010093] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2021] [Revised: 12/29/2021] [Accepted: 12/29/2021] [Indexed: 12/26/2022] Open
Abstract
BACKGROUND Altered sensorimotor gating has been demonstrated by Prepulse Inhibition (PPI) tests in patients with psychosis. Recent advances in signal processing methods allow assessment of neural PPI through electroencephalogram (EEG) recording during acoustic startle response measures (classic muscular PPI). Simultaneous measurements of muscular (eye-blink) and neural gating phenomena during PPI test may help to better understand sensorial processing dysfunctions in psychosis. In this study, we aimed to assess simultaneously muscular and neural PPI in early bipolar disorder and schizophrenia patients. METHOD Participants were recruited from a population-based case-control study of first episode psychosis. PPI was measured using electromyography (EMG) and EEG in pulse alone and prepulse + pulse with intervals of 30, 60, and 120 ms in early bipolar disorder (n = 18) and schizophrenia (n = 11) patients. As control group, 15 socio-economically matched healthy subjects were recruited. All subjects were evaluated with Rating Scale, Hamilton Rating Scale for Depression, and Young Mania Rating Scale questionnaires at recruitment and just before PPI test. Wilcoxon ranked sum tests were used to compare PPI test results between groups. RESULTS In comparison to healthy participants, neural PPI was significantly reduced in PPI 30 and PPI60 among bipolar and schizophrenia patients, while muscular PPI was reduced in PPI60 and PPI120 intervals only among patients with schizophrenia. CONCLUSION The combination of muscular and neural PPI evaluations suggested distinct impairment patterns among schizophrenia and bipolar disorder patients. Simultaneous recording may contribute with novel information in sensory gating investigations.
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Affiliation(s)
- Rodrigo San-Martin
- Centro de Matemática, Computação e Cognição, Universidade Federal do ABC, São Bernardo do Campo 09606-045, Brazil; (R.S.-M.); (M.I.Z.)
| | - Maria Inês Zimiani
- Centro de Matemática, Computação e Cognição, Universidade Federal do ABC, São Bernardo do Campo 09606-045, Brazil; (R.S.-M.); (M.I.Z.)
| | | | - Rosana Shuhama
- Ribeirão Preto Medical School, Universidade de São Paulo, Ribeirão Preto 14040-900, Brazil; (M.A.V.d.Á.); (R.S.); (C.M.D.-B.)
- Population Mental Health Research Center, Universidade de São Paulo, São Paulo 01246-903, Brazil;
| | - Cristina Marta Del-Ben
- Ribeirão Preto Medical School, Universidade de São Paulo, Ribeirão Preto 14040-900, Brazil; (M.A.V.d.Á.); (R.S.); (C.M.D.-B.)
- Population Mental Health Research Center, Universidade de São Paulo, São Paulo 01246-903, Brazil;
| | - Paulo Rossi Menezes
- Population Mental Health Research Center, Universidade de São Paulo, São Paulo 01246-903, Brazil;
- Department of Preventive Medicine, Faculdade de Medicina, Universidade de São Paulo, São Paulo 01246-903, Brazil
| | - Francisco José Fraga
- Centro de Engenharia, Modelagem e Ciências Sociais Aplicadas, Universidade Federal do ABC, Santo André 09210-580, Brazil;
| | - Cristiane Salum
- Centro de Matemática, Computação e Cognição, Universidade Federal do ABC, São Bernardo do Campo 09606-045, Brazil; (R.S.-M.); (M.I.Z.)
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Szabo A, O'Connell KS, Ueland T, Sheikh MA, Agartz I, Andreou D, Aukrust P, Boye B, Bøen E, Drange OK, Elvsåshagen T, Engh JA, Hope S, Collier Høegh M, Joa I, Johnsen E, Kroken RA, Vik Lagerberg T, Lekva T, Malt UF, Melle I, Morken G, Nærland T, Steen VM, Sørensen K, Wedervang-Resell K, Auten Weibell M, Westlye LT, Steen NE, Andreassen O, Djurovic S. Increased circulating IL-18 levels in severe mental disorders indicate systemic inflammasome activation. Brain Behav Immun 2022; 99:299-306. [PMID: 34758379 DOI: 10.1016/j.bbi.2021.10.017] [Citation(s) in RCA: 24] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/27/2021] [Revised: 10/11/2021] [Accepted: 10/31/2021] [Indexed: 12/12/2022] Open
Abstract
BACKGROUND Schizophrenia (SCZ) and bipolar disorder (BD) are severe mental illnesses (SMI) that are part of a psychosis continuum, and dysregulated innate immune responses have been suggested to be involved in their pathophysiology. However, disease-specific immune mechanisms in SMI are not known yet. Recently, dyslipidemia has been linked to systemic inflammasome activation, and elevated atherogenic lipid ratios have been shown to correlate with circulating levels of inflammatory biomarkers in SMI. It is, however, not yet known if increased systemic cholesterol load leads to inflammasome activation in these patients. METHODS We tested the hypothesis that patients with SCZ and BD display higher circulating levels compared to healthy individuals of key members of the IL-18 system using a large patient cohort (n = 1632; including 737 SCZ and 895 BD), and healthy controls (CTRL; n = 1070). In addition, we assessed associations with coronary artery disease risk factors in SMI, focusing on relevant inflammasome-related, neuroendocrine, and lipid markers. RESULTS We report higher baseline levels of circulating IL-18 system components (IL-18, IL-18BPA, IL-18R1), and increased expression of inflammasome-related genes (NLRP3 and NLRC4) in the blood of patients relative to CTRL. We demonstrate a cholesterol dyslipidemia pattern in psychotic disorders, and report correlations between levels of blood cholesterol types and the expression of inflammasome system elements in SMI. CONCLUSIONS Based on these results, we suggest a role for inflammasome activation/dysregulation in SMI. Our findings further the understanding of possible underlying inflammatory mechanisms and may expose important therapeutic targets in SMI.
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Affiliation(s)
- Attila Szabo
- Norwegian Centre for Mental Disorders Research (NORMENT), Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway; Department of Medical Genetics, Oslo University Hospital, Oslo, Norway.
| | - Kevin S O'Connell
- Norwegian Centre for Mental Disorders Research (NORMENT), Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
| | - Thor Ueland
- Research Institute of Internal Medicine, Oslo University Hospital Rikshospitalet, Oslo, Norway; Institute of Clinical Medicine, University of Oslo, Oslo, Norway; K.G. Jebsen Thrombosis Research and Expertise Center, University of Tromsø, Tromsø, Norway
| | - Mashhood A Sheikh
- Research Institute of Internal Medicine, Oslo University Hospital Rikshospitalet, Oslo, Norway
| | - Ingrid Agartz
- Norwegian Centre for Mental Disorders Research, NORMENT, Institute of Clinical Medicine, University of Oslo, Oslo, Norway; Centre for Psychiatry Research, Department of Clinical Neuroscience, Karolinska Institutet & Stockholm Health Care Services, Stockholm Region, Stockholm, Sweden; Department of Psychiatric Research, Diakonhjemmet Hospital, Oslo, Norway
| | - Dimitrios Andreou
- Norwegian Centre for Mental Disorders Research, NORMENT, Institute of Clinical Medicine, University of Oslo, Oslo, Norway; Centre for Psychiatry Research, Department of Clinical Neuroscience, Karolinska Institutet & Stockholm Health Care Services, Stockholm Region, Stockholm, Sweden
| | - Pål Aukrust
- Research Institute of Internal Medicine, Oslo University Hospital Rikshospitalet, Oslo, Norway; Institute of Clinical Medicine, University of Oslo, Oslo, Norway; Section of Clinical Immunology and Infectious Diseases, Oslo University Hospital Rikshospitalet, Oslo, Norway
| | - Birgitte Boye
- Institute of Basic Medical Sciences, University of Oslo, Oslo, Norway; Psychosomatic and Consultation-liason Psychiatry, Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
| | - Erlend Bøen
- Psychosomatic and Consultation-liason Psychiatry, Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
| | - Ole Kristian Drange
- Department of Mental Health, Norwegian University of Science and Technology, NTNU, Trondheim, Norway; Department of Østmarka, Division of Mental Health, St. Olavs University Hospital, Trondheim, Norway; Department of Psychiatry, St Olav University Hospital, Trondheim, Norway
| | - Torbjørn Elvsåshagen
- Norwegian Centre for Mental Disorders Research (NORMENT), Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway; Institute of Clinical Medicine, University of Oslo, Oslo, Norway; Department of Neurology, Oslo University Hospital, Oslo, Norway
| | - John Abel Engh
- Norwegian Centre for Mental Disorders Research (NORMENT), Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway; Department of Medical Genetics, Oslo University Hospital, Oslo, Norway
| | - Sigrun Hope
- Norwegian Centre for Mental Disorders Research (NORMENT), Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway; Department of Neuro Habilitation, Oslo University Hospital Ullevål, Oslo, Norway
| | - Margrethe Collier Høegh
- Norwegian Centre for Mental Disorders Research (NORMENT), Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
| | - Inge Joa
- TIPS, Centre for Clinical Research in Psychosis, Stavanger University Hospital, Stavanger, Norway; Network for Medical Sciences, Faculty of Health, University of Stavanger, Stavanger, Norway
| | - Erik Johnsen
- Division of Psychiatry, Haukeland University Hospital, Bergen, Norway; NORMENT, Department of Clinical Science, University of Bergen, Bergen, Norway; Dr. Einar Martens Research Group for Biological Psychiatry, Department of Medical Genetics, Haukeland University Hospital, Bergen, Norway
| | - Rune Andreas Kroken
- Division of Psychiatry, Haukeland University Hospital, Bergen, Norway; NORMENT, Department of Clinical Science, University of Bergen, Bergen, Norway; Dr. Einar Martens Research Group for Biological Psychiatry, Department of Medical Genetics, Haukeland University Hospital, Bergen, Norway
| | - Trine Vik Lagerberg
- Norwegian Centre for Mental Disorders Research (NORMENT), Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
| | - Tove Lekva
- Research Institute of Internal Medicine, Oslo University Hospital Rikshospitalet, Oslo, Norway
| | | | - Ingrid Melle
- Norwegian Centre for Mental Disorders Research (NORMENT), Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway; Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Gunnar Morken
- Department of Mental Health, Norwegian University of Science and Technology, NTNU, Trondheim, Norway; Department of Psychiatry, St Olav University Hospital, Trondheim, Norway
| | - Terje Nærland
- Institute of Clinical Medicine, University of Oslo, Oslo, Norway; K.G. Jebsen Center for Neurodevelopmental Disorders, Oslo, Norway; Department of Rare Disorders and Disabilities, Oslo University Hospital, Oslo, Norway
| | - Vidar Martin Steen
- NORMENT, Department of Clinical Science, University of Bergen, Bergen, Norway; Dr. Einar Martens Research Group for Biological Psychiatry, Department of Medical Genetics, Haukeland University Hospital, Bergen, Norway
| | - Kjetil Sørensen
- Department of Psychiatry, St. Olav's University Hospital, Trondheim, Norway
| | - Kirsten Wedervang-Resell
- Norwegian Centre for Mental Disorders Research (NORMENT), Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
| | - Melissa Auten Weibell
- TIPS, Centre for Clinical Research in Psychosis, Stavanger University Hospital, Stavanger, Norway; Network for Medical Sciences, Faculty of Health, University of Stavanger, Stavanger, Norway
| | - Lars T Westlye
- Norwegian Centre for Mental Disorders Research (NORMENT), Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway; K.G. Jebsen Center for Neurodevelopmental Disorders, Oslo, Norway; Department of Psychology, University of Oslo, Oslo, Norway
| | - Nils Eiel Steen
- Norwegian Centre for Mental Disorders Research (NORMENT), Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
| | - Ole Andreassen
- Norwegian Centre for Mental Disorders Research (NORMENT), Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
| | - Srdjan Djurovic
- Department of Medical Genetics, Oslo University Hospital, Oslo, Norway; NORMENT, Department of Clinical Science, University of Bergen, Bergen, Norway.
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18
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Shared and distinct white matter abnormalities in schizophrenia and bipolar disorder. Prog Neuropsychopharmacol Biol Psychiatry 2021; 108:110175. [PMID: 33188830 DOI: 10.1016/j.pnpbp.2020.110175] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/30/2020] [Revised: 11/02/2020] [Accepted: 11/09/2020] [Indexed: 11/20/2022]
Abstract
While white matter impairments play an integral part in the pathophysiology of schizophrenia and bipolar disorder, the literature on white matter abnormality differences between the two disorders is insufficient. The University of California Los Angeles Consortium for Neuropsychiatric Phenomic LA5c public dataset, including 47 patients with schizophrenia, 47 with bipolar disorder, and 115 healthy controls, was obtained via OpenNeuro. Whole-brain tractography was performed using Unscented Kalman filter-based two-tensor tractography and White Matter Query Language. Diffusion indices, including fractional anisotropy (FA), axial diffusivity, radial diffusivity (RD), and trace (TR), were used to compare subject groups. Spearman's partial correlation with a covariate of age was used for correlation with clinical variables. Both patient groups exhibited significantly higher RD in the left external capsule and TR in the right extreme capsule. Significantly lower FA in the left external capsule, right thalamo-occipital and thalamo-parietal tracts were found in the schizophrenia group in comparison with bipolar disorder and healthy control groups. Compared with healthy controls, patients with schizophrenia had significantly lower FA in the left-to-right lateral orbitofrontal commissural tract. There were possible associations of the FA and RD of the left external capsule with the anxiety-depression score of the Brief Psychiatric Rating Scale in patients with schizophrenia. The white matter alterations identified in schizophrenia and bipolar disorder may be a neurobiological basis contributing to characterization of the two disorders.
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19
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Chen M, Wang W, Song W, Qian W, Lin GN. Integrative Analysis Identified Key Schizophrenia Risk Factors from an Abnormal Behavior Mouse Gene Set. Life (Basel) 2021; 11:172. [PMID: 33672431 PMCID: PMC7927082 DOI: 10.3390/life11020172] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/17/2020] [Revised: 02/10/2021] [Accepted: 02/20/2021] [Indexed: 01/12/2023] Open
Abstract
Schizophrenia (SCZ) is a severe chronic psychiatric illness with heterogeneous symptoms. However, the pathogenesis of SCZ is unclear, and the number of well-defined SCZ risk factors is limited. We hypothesized that an abnormal behavior (AB) gene set verified by mouse model experiments can be used to better understand SCZ risks. In this work, we carried out an integrative bioinformatics analysis to study two types of risk genes that are either differentially expressed (DEGs) in the case-control study data or carry reported SCZ genetic variants (MUTs). Next, we used RNA-Seq expression data from the hippocampus (HIPPO) and dorsolateral prefrontal cortex (DLPFC) to define the key genes affected by different types (DEGs and MUTs) in different brain regions (DLPFC and HIPPO): DLPFC-kDEG, DLPFC-kMUT, HIPPO-kDEG, and HIPPO-kMUT. The four hub genes (SHANK1, SHANK2, DLG4, and NLGN3) of the biological functionally enriched terms were strongly linked to SCZ via gene co-expression network analysis. Then, we observed that specific spatial expressions of DLPFC-kMUT and HIPPO-kMUT were convergent in the early stages and divergent in the later stages of development. In addition, all four types of key genes showed significantly larger average protein-protein interaction degrees than the background. Comparing the different cell types, the expression of four types of key genes showed specificity in different dimensions. Together, our results offer new insights into potential risk factors and help us understand the complexity and regional heterogeneity of SCZ.
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Affiliation(s)
- Miao Chen
- School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai 200030, China; (M.C.); (W.W.); (W.S.); (W.Q.)
| | - Weidi Wang
- School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai 200030, China; (M.C.); (W.W.); (W.S.); (W.Q.)
| | - Weicheng Song
- School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai 200030, China; (M.C.); (W.W.); (W.S.); (W.Q.)
| | - Wei Qian
- School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai 200030, China; (M.C.); (W.W.); (W.S.); (W.Q.)
| | - Guan Ning Lin
- School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai 200030, China; (M.C.); (W.W.); (W.S.); (W.Q.)
- Engineering Research Center of Digital Medicine and Clinical Translational, Ministry of Education of China, Shanghai 200030, China
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20
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Ni P, Liu M, Wang D, Tian Y, Zhao L, Wei J, Yu X, Qi X, Li X, Yu H, Ni R, Ma X, Deng W, Guo W, Wang Q, Li T. Association Analysis Between Catechol-O-Methyltransferase Expression and Cognitive Function in Patients with Schizophrenia, Bipolar Disorder, or Major Depression. Neuropsychiatr Dis Treat 2021; 17:567-574. [PMID: 33654399 PMCID: PMC7910219 DOI: 10.2147/ndt.s286102] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/10/2020] [Accepted: 01/22/2021] [Indexed: 02/05/2023] Open
Abstract
INTRODUCTION Schizophrenia, bipolar disorder (BD), and major depressive disorder are three common mental disorders. Although their diagnosis and treatment differ, they partially overlap. METHODS To explore the similarities and characteristics of these three psychiatric diseases, an intelligence quotient (IQ) assessment was performed to evaluate cognitive deficits. Relative catechol-O-methyltransferase (COMT) expression in peripheral blood mononuclear cells was examined in all three groups compared with healthy controls (HCs). RESULTS The results indicated that patients with any of the three psychiatric diseases presented IQ deficits, and that the first-episode schizophrenia (FES) group had even lower cognitive function than the other two groups. The relative COMT expression decreased in the FES group and increased in the BD group compared with the HC group. The correlation analysis of COMT expression level and IQ scores showed a positive correlation between relative COMT expression and full-scale IQ in the HC group. However, this correlation disappeared in all three psychiatric diseases studied. CONCLUSION In conclusion, this cross-disease strategy provided important clues to explain lower IQ scores and dysregulated COMT expression among three common mental illnesses.
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Affiliation(s)
- Peiyan Ni
- The Psychiatric Laboratory, West China Hospital, Sichuan University, Chengdu, 610041, People's Republic of China.,Mental Health Center, West China Hospital, Sichuan University, Chengdu, 610041, People's Republic of China.,Huaxi Brain Research Center, West China Hospital, Sichuan University, Chengdu, 610041, People's Republic of China
| | - Manli Liu
- The Psychiatric Laboratory, West China Hospital, Sichuan University, Chengdu, 610041, People's Republic of China.,Mental Health Center, West China Hospital, Sichuan University, Chengdu, 610041, People's Republic of China.,Huaxi Brain Research Center, West China Hospital, Sichuan University, Chengdu, 610041, People's Republic of China
| | - Dequan Wang
- The Psychiatric Laboratory, West China Hospital, Sichuan University, Chengdu, 610041, People's Republic of China.,Mental Health Center, West China Hospital, Sichuan University, Chengdu, 610041, People's Republic of China.,Huaxi Brain Research Center, West China Hospital, Sichuan University, Chengdu, 610041, People's Republic of China
| | - Yang Tian
- The Psychiatric Laboratory, West China Hospital, Sichuan University, Chengdu, 610041, People's Republic of China.,Mental Health Center, West China Hospital, Sichuan University, Chengdu, 610041, People's Republic of China.,Huaxi Brain Research Center, West China Hospital, Sichuan University, Chengdu, 610041, People's Republic of China
| | - Liansheng Zhao
- The Psychiatric Laboratory, West China Hospital, Sichuan University, Chengdu, 610041, People's Republic of China.,Mental Health Center, West China Hospital, Sichuan University, Chengdu, 610041, People's Republic of China.,Huaxi Brain Research Center, West China Hospital, Sichuan University, Chengdu, 610041, People's Republic of China
| | - Jinxue Wei
- The Psychiatric Laboratory, West China Hospital, Sichuan University, Chengdu, 610041, People's Republic of China.,Mental Health Center, West China Hospital, Sichuan University, Chengdu, 610041, People's Republic of China.,Huaxi Brain Research Center, West China Hospital, Sichuan University, Chengdu, 610041, People's Republic of China
| | - Xueli Yu
- The Psychiatric Laboratory, West China Hospital, Sichuan University, Chengdu, 610041, People's Republic of China.,Mental Health Center, West China Hospital, Sichuan University, Chengdu, 610041, People's Republic of China.,Huaxi Brain Research Center, West China Hospital, Sichuan University, Chengdu, 610041, People's Republic of China
| | - Xueyu Qi
- The Psychiatric Laboratory, West China Hospital, Sichuan University, Chengdu, 610041, People's Republic of China.,Mental Health Center, West China Hospital, Sichuan University, Chengdu, 610041, People's Republic of China.,Huaxi Brain Research Center, West China Hospital, Sichuan University, Chengdu, 610041, People's Republic of China
| | - Xiaojing Li
- The Psychiatric Laboratory, West China Hospital, Sichuan University, Chengdu, 610041, People's Republic of China.,Mental Health Center, West China Hospital, Sichuan University, Chengdu, 610041, People's Republic of China.,Huaxi Brain Research Center, West China Hospital, Sichuan University, Chengdu, 610041, People's Republic of China
| | - Hua Yu
- The Psychiatric Laboratory, West China Hospital, Sichuan University, Chengdu, 610041, People's Republic of China.,Mental Health Center, West China Hospital, Sichuan University, Chengdu, 610041, People's Republic of China.,Huaxi Brain Research Center, West China Hospital, Sichuan University, Chengdu, 610041, People's Republic of China
| | - Rongjun Ni
- The Psychiatric Laboratory, West China Hospital, Sichuan University, Chengdu, 610041, People's Republic of China.,Mental Health Center, West China Hospital, Sichuan University, Chengdu, 610041, People's Republic of China.,Huaxi Brain Research Center, West China Hospital, Sichuan University, Chengdu, 610041, People's Republic of China
| | - Xiaohong Ma
- The Psychiatric Laboratory, West China Hospital, Sichuan University, Chengdu, 610041, People's Republic of China.,Mental Health Center, West China Hospital, Sichuan University, Chengdu, 610041, People's Republic of China.,Huaxi Brain Research Center, West China Hospital, Sichuan University, Chengdu, 610041, People's Republic of China
| | - Wei Deng
- The Psychiatric Laboratory, West China Hospital, Sichuan University, Chengdu, 610041, People's Republic of China.,Mental Health Center, West China Hospital, Sichuan University, Chengdu, 610041, People's Republic of China.,Huaxi Brain Research Center, West China Hospital, Sichuan University, Chengdu, 610041, People's Republic of China
| | - Wanjun Guo
- The Psychiatric Laboratory, West China Hospital, Sichuan University, Chengdu, 610041, People's Republic of China.,Mental Health Center, West China Hospital, Sichuan University, Chengdu, 610041, People's Republic of China.,Huaxi Brain Research Center, West China Hospital, Sichuan University, Chengdu, 610041, People's Republic of China
| | - Qiang Wang
- The Psychiatric Laboratory, West China Hospital, Sichuan University, Chengdu, 610041, People's Republic of China.,Mental Health Center, West China Hospital, Sichuan University, Chengdu, 610041, People's Republic of China.,Huaxi Brain Research Center, West China Hospital, Sichuan University, Chengdu, 610041, People's Republic of China
| | - Tao Li
- The Psychiatric Laboratory, West China Hospital, Sichuan University, Chengdu, 610041, People's Republic of China.,Mental Health Center, West China Hospital, Sichuan University, Chengdu, 610041, People's Republic of China.,Huaxi Brain Research Center, West China Hospital, Sichuan University, Chengdu, 610041, People's Republic of China.,Guangdong-Hong Kong-Macao Greater Bay Area Center for Brain Science and Brain-Inspired Intelligence, Guangzhou, People's Republic of China
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21
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Common variants in FAN1, located in 15q13.3, confer risk for schizophrenia and bipolar disorder in Han Chinese. Prog Neuropsychopharmacol Biol Psychiatry 2020; 103:109973. [PMID: 32450113 DOI: 10.1016/j.pnpbp.2020.109973] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/01/2019] [Revised: 05/18/2020] [Accepted: 05/18/2020] [Indexed: 01/01/2023]
Abstract
Multiple genetic risk factors have been associated with psychiatric disorders which provides the genetic insight to these disorders; however, the etiology of these disorders is still elusive. 15q13.3 was previously associated with schizophrenia, bipolar and other neurodevelopmental disorders. Whereas, the FAN1 which encodes the Fanconi anemia associated nuclease 1 was suggested to be causal gene for 15q13.3 related psychiatric disorders. This study aimed to investigate the association of FAN1 with three major psychiatric disorders. Herein, we conducted a case-control study with the Chinese Han population. Three single nucleotide polymorphisms (SNPs) of FAN1 were genotyped in 1248 schizophrenia cases, 1344 bipolar disorder cases, 1056 major depressive disorder cases and 1248 normal controls. We found that SNPs rs7171212 was associated with bipolar (pallele = 0.023, pgenotype = 0.022, OR = 0.658) and schizophrenia (pallele = 0.021, pgenotype = 0.019, OR = 0.645). Whereas, rs4779796 was associated with schizophrenia (pgenotype = 0.001, adjusted pgenotype = 0.003, OR = 1.089). In addition, rs7171212 (adjusted pallele = 0.018, adjusted pgenotype = 0.018, OR = 0.652) and rs4779796 (adjusted pgenotype = 0.024, OR = 1.12) showed significantly associated with combined cases of schizophrenia and bipolar disorder. Further, meta-analysis was performed with the case-control data and dataset extracted from previously reported genome-wide association study to validate the promising SNPs. Our results provide the new evidence that FAN1 may be a common susceptibility gene for schizophrenia and bipolar disorder in Han Chinese. These novel findings need further validation with larger sample size and functional characterization to understand the underlying pathogenic mechanism behind FAN1 in the prevalence of schizophrenia and bipolar disorders.
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22
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Moossavi M, Alaei M, Mohammadoo-khorasani M, Shojaee M, Khorasani M. The polymorphism of TNFα (rs1799964) gene and schizophrenia risk: A meta-analysis. Meta Gene 2020. [DOI: 10.1016/j.mgene.2020.100801] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022] Open
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23
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Scaini G, Valvassori SS, Diaz AP, Lima CN, Benevenuto D, Fries GR, Quevedo J. Neurobiology of bipolar disorders: a review of genetic components, signaling pathways, biochemical changes, and neuroimaging findings. ACTA ACUST UNITED AC 2020; 42:536-551. [PMID: 32267339 PMCID: PMC7524405 DOI: 10.1590/1516-4446-2019-0732] [Citation(s) in RCA: 39] [Impact Index Per Article: 9.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2019] [Accepted: 12/27/2019] [Indexed: 01/10/2023]
Abstract
Bipolar disorder (BD) is a chronic mental illness characterized by changes in mood that alternate between mania and hypomania or between depression and mixed states, often associated with functional impairment. Although effective pharmacological and non-pharmacological treatments are available, several patients with BD remain symptomatic. The advance in the understanding of the neurobiology underlying BD could help in the identification of new therapeutic targets as well as biomarkers for early detection, prognosis, and response to treatment in BD. In this review, we discuss genetic, epigenetic, molecular, physiological and neuroimaging findings associated with the neurobiology of BD. Despite the advances in the pathophysiological knowledge of BD, the diagnosis and management of the disease are still essentially clinical. Given the complexity of the brain and the close relationship between environmental exposure and brain function, initiatives that incorporate genetic, epigenetic, molecular, physiological, clinical, environmental data, and brain imaging are necessary to produce information that can be translated into prevention and better outcomes for patients with BD.
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Affiliation(s)
- Giselli Scaini
- Translational Psychiatry Program Louis A. Faillace, Department of Psychiatry and Behavioral Sciences at McGovern Medical School, The University of Texas Health Science Center at Houston (UTHealth), Houston, TX, USA
| | - Samira S Valvassori
- Laboratório de Psiquiatria Translacional, Programa de Pós-Graduação em Ciências da Saúde, Universidade do Extremo Sul Catarinense (UNESC), Criciúma, SC, Brazil
| | - Alexandre P Diaz
- Translational Psychiatry Program Louis A. Faillace, Department of Psychiatry and Behavioral Sciences at McGovern Medical School, The University of Texas Health Science Center at Houston (UTHealth), Houston, TX, USA.,Center of Excellence on Mood Disorders Louis A. Faillace, Department of Psychiatry and Behavioral Sciences at McGovern Medical School, UTHealth, Houston, TX, USA
| | - Camila N Lima
- Translational Psychiatry Program Louis A. Faillace, Department of Psychiatry and Behavioral Sciences at McGovern Medical School, The University of Texas Health Science Center at Houston (UTHealth), Houston, TX, USA
| | - Deborah Benevenuto
- Translational Psychiatry Program Louis A. Faillace, Department of Psychiatry and Behavioral Sciences at McGovern Medical School, The University of Texas Health Science Center at Houston (UTHealth), Houston, TX, USA
| | - Gabriel R Fries
- Translational Psychiatry Program Louis A. Faillace, Department of Psychiatry and Behavioral Sciences at McGovern Medical School, The University of Texas Health Science Center at Houston (UTHealth), Houston, TX, USA.,Center for Precision Health, School of Biomedical Informatics, UTHealth, Houston, TX, USA.,Neuroscience Graduate Program, Graduate School of Biomedical Sciences, The University of Texas MD Anderson Cancer Center, UTHealth, Houston, TX, USA
| | - Joao Quevedo
- Translational Psychiatry Program Louis A. Faillace, Department of Psychiatry and Behavioral Sciences at McGovern Medical School, The University of Texas Health Science Center at Houston (UTHealth), Houston, TX, USA.,Laboratório de Psiquiatria Translacional, Programa de Pós-Graduação em Ciências da Saúde, Universidade do Extremo Sul Catarinense (UNESC), Criciúma, SC, Brazil.,Center of Excellence on Mood Disorders Louis A. Faillace, Department of Psychiatry and Behavioral Sciences at McGovern Medical School, UTHealth, Houston, TX, USA.,Neuroscience Graduate Program, Graduate School of Biomedical Sciences, The University of Texas MD Anderson Cancer Center, UTHealth, Houston, TX, USA
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24
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Moon AL, Brydges NM, Wilkinson LS, Hall J, Thomas KL. Cacna1c Hemizygosity Results in Aberrant Fear Conditioning to Neutral Stimuli. Schizophr Bull 2020; 46:1231-1238. [PMID: 31910256 PMCID: PMC7505182 DOI: 10.1093/schbul/sbz127] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
Abstract
CACNA1C, a gene that encodes an alpha-1 subunit of L-type voltage-gated calcium channels, has been strongly associated with psychiatric disorders including schizophrenia and bipolar disorder. An important objective is to understand how variation in this gene can lead to an increased risk of psychopathology. Altered associative learning has also been implicated in the pathology of psychiatric disorders, particularly in the manifestation of psychotic symptoms. In this study, we utilize auditory-cued fear memory paradigms in order to investigate whether associative learning is altered in rats hemizygous for the Cacna1c gene. Cacna1c hemizygous (Cacna1c+/-) rats and their wild-type littermates were exposed to either delay, trace, or unpaired auditory fear conditioning. All rats received a Context Recall (24 h post-conditioning) and a Cue Recall (48 h post-conditioning) to test their fear responses. In the delay condition, which results in strong conditioning to the cue in wild-type animals, Cacna1c+/- rats showed increased fear responses to the context. In the trace condition, which results in strong conditioning to the context in wild-type animals, Cacna1c+/- rats showed increased fear responses to the cue. Finally, in the unpaired condition, Cacna1c+/- rats showed increased fear responses to both context and cue. These results indicate that Cacna1c heterozygous rats show aberrantly enhanced fear responses to inappropriate cues, consistent with key models of psychosis.
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Affiliation(s)
- Anna L Moon
- Neuroscience and Mental Health Research Institute, Cardiff University, Cardiff, UK
- MRC Centre for Neuropsychiatric Genetics and Genomics, Cardiff University, Cardiff, UK
| | - Nichola M Brydges
- Neuroscience and Mental Health Research Institute, Cardiff University, Cardiff, UK
| | - Lawrence S Wilkinson
- Neuroscience and Mental Health Research Institute, Cardiff University, Cardiff, UK
- MRC Centre for Neuropsychiatric Genetics and Genomics, Cardiff University, Cardiff, UK
- School of Psychology, Cardiff University, Cardiff, UK
| | - Jeremy Hall
- Neuroscience and Mental Health Research Institute, Cardiff University, Cardiff, UK
- MRC Centre for Neuropsychiatric Genetics and Genomics, Cardiff University, Cardiff, UK
| | - Kerrie L Thomas
- Neuroscience and Mental Health Research Institute, Cardiff University, Cardiff, UK
- School of Biosciences, Cardiff University, Cardiff, UK
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25
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Kumar PK, Mitra P, Ghosh R, Sharma S, Nebhinani N, Sharma P. Association of circulating BDNF levels with BDNF rs6265 polymorphism in schizophrenia. Behav Brain Res 2020; 394:112832. [PMID: 32726665 DOI: 10.1016/j.bbr.2020.112832] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2020] [Revised: 07/15/2020] [Accepted: 07/22/2020] [Indexed: 01/26/2023]
Abstract
Schizophrenia is a severe neuropsychiatric disorder affecting 1% of the world population. Disturbances in neuronal development and synaptic connections are important factors in the pathogenesis of schizophrenia. Brain derived neurotrophic factor (BDNF), a member of the neurotrophin family, plays a critical role in the development of neurons. Among several polymorphisms reported in BDNF, the rs6265 polymorphism is known to be associated with many neuropsychiatric diseases. This study was aimed to determine the effect of BDNF rs6265 functional polymorphism on serum BDNF concentration in patients with schizophrenia. In total, 50 schizophrenia patients and 50 controls were recruited after obtaining written informed consent. Serum BDNF levels were estimated using the ELISA method and BDNF rs6265 polymorphism was genotyped using T-ARMS PCR. Serum BDNF levels were decreased significantly in schizophrenia patients when compared to the healthy controls (p < 0.0001). Further, the rs6265 polymorphism was also not associated with the schizophrenia (p = 0.41). Intragroup analysis between different genotypes revealed no association between the serum BDNF levels and rs6265 polymorphism. Our results suggest that the functional polymorphism rs6265 is not associated with serum BDNF levels, which is in line with previous findings, which indicates that serum BDNF levels depend more on diagnostic effect than genetic effect. Replication studies on a larger study population are needed.
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Affiliation(s)
- Pvsn Kiran Kumar
- Department of Biochemistry, All India Institute of Medical Sciences, Jodhpur, India
| | - Prasenjit Mitra
- Department of Biochemistry, All India Institute of Medical Sciences, Jodhpur, India
| | - Raghumoy Ghosh
- Department of Biochemistry, All India Institute of Medical Sciences, Jodhpur, India
| | - Shailja Sharma
- Department of Biochemistry, All India Institute of Medical Sciences, Jodhpur, India
| | - Naresh Nebhinani
- Department of Psychiatry, All India Institute of Medical Sciences, Jodhpur, India
| | - Praveen Sharma
- Department of Biochemistry, All India Institute of Medical Sciences, Jodhpur, India.
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26
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Kraeuter AK, Phillips R, Sarnyai Z. The Gut Microbiome in Psychosis From Mice to Men: A Systematic Review of Preclinical and Clinical Studies. Front Psychiatry 2020; 11:799. [PMID: 32903683 PMCID: PMC7438757 DOI: 10.3389/fpsyt.2020.00799] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/10/2019] [Accepted: 07/24/2020] [Indexed: 12/17/2022] Open
Abstract
The gut microbiome is rapidly becoming the focus of interest as a possible factor involved in the pathophysiology of neuropsychiatric disorders. Recent understanding of the pathophysiology of schizophrenia emphasizes the role of systemic components, including immune/inflammatory and metabolic processes, which are influenced by and interacting with the gut microbiome. Here we systematically review the current literature on the gut microbiome in schizophrenia-spectrum disorders and in their animal models. We found that the gut microbiome is altered in psychosis compared to healthy controls. Furthermore, we identified potential factors related to psychosis, which may contribute to the gut microbiome alterations. However, further research is needed to establish the disease-specificity and potential causal relationships between changes of the microbiome and disease pathophysiology. This can open up the possibility of. manipulating the gut microbiome for improved symptom control and for the development of novel therapeutic approaches in schizophrenia and related psychotic disorders.
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Affiliation(s)
- Ann-Katrin Kraeuter
- Laboratory of Psychiatric Neuroscience, Centre for Molecular Therapeutics, James Cook University, Townsville, QLD, Australia
- Australian Institute of Tropical Health and Medicine, James Cook University, Townsville, QLD, Australia
- Faculty of Health and Life Sciences, Psychology, Northumbria University, Newcastle upon Tyne, United Kingdom
| | - Riana Phillips
- Laboratory of Psychiatric Neuroscience, Centre for Molecular Therapeutics, James Cook University, Townsville, QLD, Australia
- Australian Institute of Tropical Health and Medicine, James Cook University, Townsville, QLD, Australia
| | - Zoltán Sarnyai
- Laboratory of Psychiatric Neuroscience, Centre for Molecular Therapeutics, James Cook University, Townsville, QLD, Australia
- Australian Institute of Tropical Health and Medicine, James Cook University, Townsville, QLD, Australia
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27
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Ullah A, Long X, Mat WK, Hu T, Khan MI, Hui L, Zhang X, Sun P, Gao M, Wang J, Wang H, Li X, Sun W, Qiao M, Xue H. Highly Recurrent Copy Number Variations in GABRB2 Associated With Schizophrenia and Premenstrual Dysphoric Disorder. Front Psychiatry 2020; 11:572. [PMID: 32695026 PMCID: PMC7338560 DOI: 10.3389/fpsyt.2020.00572] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/26/2019] [Accepted: 06/03/2020] [Indexed: 01/03/2023] Open
Abstract
OBJECTIVE Although single-nucleotide polymorphisms in GABRB2, the gene encoding for GABAA receptors β2 subunit, have been associated with schizophrenia (SCZ), it is unknown whether there is any association of copy number variations (CNVs) in this gene with either SCZ or premenstrual dysphoric disorder (PMDD). METHODS In this study, the occurrences of the recurrent CNVs esv2730987 in Intron 6 and nsv1177513 in Exon 11 of GABRB2 in Chinese and German SCZ, and Chinese PMDD patients were compared to controls of same ethnicity and gender by quantitative PCR (qPCR). RESULTS The results demonstrated that copy-number-gains were enriched in both SCZ and PMDD patients with significant odds ratios (OR). For combined-gender SCZ patients versus controls, about two-fold increases were observed in both ethnic groups at both esv2730987 (OR = 2.15, p = 5.32E-4 in Chinese group; OR = 2.79, p = 8.84E-3 in German group) and nsv1177513 (OR = 3.29, p = 1.28E-11 in Chinese group; OR = 2.44, p = 6.17E-5 in German group). The most significant copy-number-gains were observed in Chinese females at nsv1177513 (OR = 3.41), and German females at esv2730987 (OR=3.96). Copy-number-gains were also enriched in Chinese PMDD patients versus controls at esv2730987 (OR = 10.53, p = 4.34E-26) and nsv1177513 (OR = 2.39, p = 3.19E-5). CONCLUSION These findings established for the first time the association of highly recurrent CNVs with SCZ and PMDD, suggesting the presence of an overlapping genetic basis with shared biomarkers for these two common psychiatric disorders.
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Affiliation(s)
- Ata Ullah
- Applied Genomics Center and State Key Laboratory of Molecular Neuroscience, Hong Kong University of Science and Technology, Division of Life Science, Hong Kong, Hong Kong
| | - Xi Long
- Applied Genomics Center and State Key Laboratory of Molecular Neuroscience, Hong Kong University of Science and Technology, Division of Life Science, Hong Kong, Hong Kong
| | - Wai-Kin Mat
- Applied Genomics Center and State Key Laboratory of Molecular Neuroscience, Hong Kong University of Science and Technology, Division of Life Science, Hong Kong, Hong Kong
| | - Taobo Hu
- Applied Genomics Center and State Key Laboratory of Molecular Neuroscience, Hong Kong University of Science and Technology, Division of Life Science, Hong Kong, Hong Kong
| | - Muhammad Ismail Khan
- Applied Genomics Center and State Key Laboratory of Molecular Neuroscience, Hong Kong University of Science and Technology, Division of Life Science, Hong Kong, Hong Kong
| | - Li Hui
- Suzhou Guangji Hospital, The Affiliated Guangji Hospital of Soochow University, Suzhou, China
| | - Xiangyang Zhang
- Institute of Psychology, Chinese Academy of Sciences, Beijing, China
| | - Peng Sun
- School of Basic Medicine, Shandong University of Traditional Chinese Medicine, Jinan, China
| | - Mingzhou Gao
- School of Basic Medicine, Shandong University of Traditional Chinese Medicine, Jinan, China
| | - Jieqiong Wang
- School of Basic Medicine, Shandong University of Traditional Chinese Medicine, Jinan, China
| | - Haijun Wang
- School of Basic Medicine, Shandong University of Traditional Chinese Medicine, Jinan, China
| | - Xia Li
- School of Basic Medicine, Shandong University of Traditional Chinese Medicine, Jinan, China
| | - Wenjun Sun
- School of Basic Medicine, Shandong University of Traditional Chinese Medicine, Jinan, China
| | - Mingqi Qiao
- School of Basic Medicine, Shandong University of Traditional Chinese Medicine, Jinan, China
| | - Hong Xue
- Applied Genomics Center and State Key Laboratory of Molecular Neuroscience, Hong Kong University of Science and Technology, Division of Life Science, Hong Kong, Hong Kong
- School of Basic Medicine, Shandong University of Traditional Chinese Medicine, Jinan, China
- School of Basic Medicine and Clinical Pharmacy, China Pharmaceutical University, Nanjing, China
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28
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Molina V, Sánchez J, Sanz J, Reig S, Benito C, Leal I, Sarramea F, Rebolledo R, Palomo T, Desco M. Dorsolateral prefrontal N-acetyl-aspartate concentration in male patients with chronic schizophrenia and with chronic bipolar disorder. Eur Psychiatry 2020; 22:505-12. [PMID: 17904824 DOI: 10.1016/j.eurpsy.2007.07.006] [Citation(s) in RCA: 37] [Impact Index Per Article: 9.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/08/2007] [Revised: 07/18/2007] [Accepted: 07/24/2007] [Indexed: 10/22/2022] Open
Abstract
AbstractObjectivesA study of N-acetyl-aspartate (NAA) can provide data of interest about cortical alterations in psychotic illnesses. Although a decreased NAA level in the cerebral cortex is a replicated finding in chronic schizophrenia, the data are less consistent for bipolar disease. On the other hand, it is likely that NAA values in schizophrenia may differ in men and women.MethodsWe used proton magnetic resonance spectroscopy (1H MRS) to examine NAA levels in the prefrontal cortex in two groups of male patients, one with schizophrenia (n = 11) and the other with bipolar disorder (n = 13) of similar duration, and compared them to a sample of healthy control males (n = 10). Additionally, we compared the degree of structural deviations from normal volumes of gray matter (GM) and cerebrospinal fluid (CSF) in the dorsolateral prefrontal cortex.ResultsCompared to controls, schizophrenia and bipolar patients presented decreased NAA to creatine ratios, while only the schizophrenia group showed an increase in CSF in the dorsolateral prefrontal region. There were no differences in choline to creatine ratios among the groups.ConclusionsThese data suggest that the decrease in NAA in the prefrontal region may be similar in schizophrenia and bipolar disorder, at least in the chronic state. However, cortical CSF may be markedly increased in schizophrenia patients.
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Affiliation(s)
- V Molina
- Department of Psychiatry, Hospital Clínico Universitario, Paseo de San Vicente 58-182, E-37007 Salamanca, Spain.
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29
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Chen JJ, Xie J, Zeng L, Zhou CJ, Zheng P, Xie P. Urinary metabolite signature in bipolar disorder patients during depressive episode. Aging (Albany NY) 2020; 11:1008-1018. [PMID: 30721880 PMCID: PMC6382435 DOI: 10.18632/aging.101805] [Citation(s) in RCA: 28] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/21/2018] [Accepted: 01/24/2019] [Indexed: 12/24/2022]
Abstract
The first few episodes of bipolar disorder (BD) are highly likely to be depressive. This phenomenon causes many BD patients to be misdiagnosed as having major depression. Therefore, it is very important to correctly diagnose BD patients during depressive episode. Here, we conducted this study to identify potential biomarkers for young and middle-aged BD patients during depressive episode. Both gas chromatography-mass spectroscopy (GC-MS) and nuclear magnetic resonance (NMR) spectroscopy were used to profile the urine samples from the recruited subjects. In total, 13 differential metabolites responsible for the discrimination between healthy controls (HCs) and patients were identified. Most differential metabolites had a close relationship with energy homeostasis. Meanwhile, a panel consisting of five differential metabolites was identified. This panel could effectively distinguish the patients from HCs with an AUC of 0.998 in the training set and 0.974 in the testing set. Our findings on one hand could be helpful in developing an objective diagnostic method for young and middle-aged BD patients during depressive episode; on the other hand could provide critical insight into the pathological mechanism of BD and the biological mechanisms responsible for the transformation of different episodes.
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Affiliation(s)
- Jian-Jun Chen
- Institute of Life Sciences, Chongqing Medical University, Chongqing, China.,Institute of Neuroscience, Chongqing Medical University, Chongqing, China
| | - Jing Xie
- Department of Endocrinology and Nephrology, Chongqing University Central Hospital, Chongqing Emergency Medical Center, Chongqing, China
| | - Li Zeng
- Institute of Neuroscience, Chongqing Medical University, Chongqing, China.,Department of Nephrology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Chan-Juan Zhou
- Institute of Neuroscience, Chongqing Medical University, Chongqing, China
| | - Peng Zheng
- Department of Neurology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.,Institute of Neuroscience, Chongqing Medical University, Chongqing, China
| | - Peng Xie
- Department of Neurology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.,Institute of Neuroscience, Chongqing Medical University, Chongqing, China
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30
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An Analysis of Five TrkB Gene Polymorphisms in Schizophrenia and the Interaction of Its Haplotype with rs6265 BDNF Gene Polymorphism. DISEASE MARKERS 2020; 2020:4789806. [PMID: 32351633 PMCID: PMC7174942 DOI: 10.1155/2020/4789806] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 10/21/2019] [Accepted: 03/06/2020] [Indexed: 11/17/2022]
Abstract
Aim The BDNF dysfunction in the schizophrenia has been soundly documented. The TrkB gene is a high-affinity receptor of the BDNF that is changed in schizophrenia and mood disorders. The study had two aims: first, to identify whether the five nucleotide polymorphisms (SNPs) in TrkB gene are associated with a diagnosis of schizophrenia; and the latter, if any association exists between the TrkB SNPs and psychopathology, suicide attempts, and family history of schizophrenia in a Caucasian population. Methods Case-control study (401 patients and 657 healthy controls) was used to examine a predisposition for schizophrenia. The tests for psychopathology, suicide attempts, and family history of schizophrenia were conducted only in patient group. The severity of the schizophrenia was measured using the five-factor model of the PANSS. In addition, the haplotype analysis for both the separate for SNPs of TrkB gene and in combination with the rs6265 SNP BDNF gene was conducted. Results Our case-control study revealed that the genetic variants of rs10868235 (T/T polymorphic genotype) and rs1387923 (G/G polymorphic genotype) of the TrkB gene were associated with a higher risk of developing schizophrenia in men. However, the A/A wild genotype of rs1387923 was connected with a lower risk for both the development of and the family manifestation of schizophrenia in men. The G polymorphic allele of rs1565445 was associated with an increased risk of suicide in schizophrenia. The tested SNPs of the TrkB gene did not modulate the psychopathology of schizophrenia. The haplotype that was built with five SNPs in the TrkB gene was protective for men, but after joining the rs6265 SNP of the BDNF gene, a haplotype that was protective for women was created.
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31
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McGinty J, Upthegrove R. Depressive symptoms during first episode psychosis and functional outcome: A systematic review and meta-analysis. Schizophr Res 2020; 218:14-27. [PMID: 31964558 DOI: 10.1016/j.schres.2019.12.011] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/16/2019] [Revised: 12/17/2019] [Accepted: 12/17/2019] [Indexed: 12/15/2022]
Abstract
OBJECTIVES First episode psychosis (FEP) is associated with functional decline. Existing evidence was synthesised to explore the influence of depressive symptoms during FEP on future social, occupational and global functioning. METHODS Medline, Embase, PsychINFO, Cochrane Library, Open Grey, NICE Evidence and Web of Science were searched from inception to May 2018. Longitudinal studies of FEP patients were included. Study quality was assessed using the Downs and Black instrument. Two meta-analyses were performed using random effect models. The first meta-analysis correlates depressive symptoms during FEP with follow-up Global Assessment of Functioning (GAF) scores. The second meta-analysis shows the odds of long-term functional remission if depressive symptoms are present during FEP. RESULTS 4751 unique abstracts were found. 36 articles were included. The first meta-analysis included 7 studies (932 participants) and showed depressive symptoms during FEP were negatively correlated with follow-up GAF scores (r = -0.16, 95% CI: -0.24 to -0.09, p < 0.001). The second meta-analysis of 9 studies (2265 participants) showed weak evidence of an association between the presence of depressive symptoms in FEP and reduction in functional remission (OR = 0.87, 95% CI: 0.68 to 1.13, p = 0.294). CONCLUSION Depressive symptoms during FEP are associated with poorer long-term global functioning and may be associated with a reduced chance of achieving functional remission. Clinical trials are needed to identify efficacious management of depressive symptoms in early psychosis.
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Affiliation(s)
- Jessica McGinty
- University of Birmingham, College of Medical and Dental Sciences, Birmingham, United Kingdom
| | - Rachel Upthegrove
- University of Birmingham, College of Medical and Dental Sciences, Birmingham, United Kingdom; University of Birmingham, Institute for Mental Health, Birmingham, United Kingdom; Early Intervention Service, Birmingham Womens and Childrens NHS Trust, Birmingham, United Kingdom.
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32
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Gregoric Kumperscak H, Krgovic D, Drobnic Radobuljac M, Senica N, Zagorac A, Kokalj Vokac N. CNVs and Chromosomal Aneuploidy in Patients With Early-Onset Schizophrenia and Bipolar Disorder: Genotype-Phenotype Associations. Front Psychiatry 2020; 11:606372. [PMID: 33510659 PMCID: PMC7837028 DOI: 10.3389/fpsyt.2020.606372] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/14/2020] [Accepted: 12/07/2020] [Indexed: 11/17/2022] Open
Abstract
Introduction: Early-onset schizophrenia (EOS) and bipolar disorder (EOB) start before the age of 18 years and have a more severe clinical course, a worse prognosis, and a greater genetic loading compared to the late-onset forms. Copy number variations (CNVs) are an important genetic factor in the etiology of psychiatric disorders. Therefore, this study aimed to analyze CNVs in patients with EOS and EOB and to establish genotype-phenotype relationships for contiguous gene syndromes or genes affected by identified CNVs. Methods: Molecular karyotyping was performed in 45 patients, 38 with EOS and seven with EOB hospitalized between 2010 and 2017. The exclusion criteria were medical or neurological disorders or IQ under 70. Detected CNVs were analyzed according to the standards and guidelines of the American College of Medical Genetics. Result: Molecular karyotyping showed CNVs in four patients with EOS (encompassing the PAK2, ADAMTS3, and ADAMTSL1 genes, and the 16p11.2 microduplication syndrome) and in two patients with EOB (encompassing the ARHGAP11B and PRODH genes). In one patient with EOB, a chromosomal aneuploidy 47, XYY was found. Discussion: Our study is the first study of CNVs in EOS and EOB patients in Slovenia. Our findings support the association of the PAK2, ARHGAP11B, and PRODH genes with schizophrenia and/or bipolar disorder. To our knowledge, this is also the first report of a multiplication of the ADAMTSL1 gene and the smallest deletion of the PAK2 gene in a patient with EOS, and one of the few reports of the 47, XYY karyotype in a patient with EOB.
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Affiliation(s)
- Hojka Gregoric Kumperscak
- Department of Pediatrics, University Medical Center Maribor, Maribor, Slovenia.,Medical Faculty, University of Maribor, Maribor, Slovenia
| | - Danijela Krgovic
- Medical Faculty, University of Maribor, Maribor, Slovenia.,Laboratory of Medical Genetics, University Medical Center Maribor, Maribor, Slovenia
| | - Maja Drobnic Radobuljac
- Unit for Intensive Child and Adolescent Psychiatry, Center for Mental Health, University Psychiatric Clinic Ljubljana, Ljubljana, Slovenia.,Medical Faculty, University of Ljubljana, Ljubljana, Slovenia
| | - Nina Senica
- Department of Pediatrics, University Medical Center Maribor, Maribor, Slovenia
| | - Andreja Zagorac
- Laboratory of Medical Genetics, University Medical Center Maribor, Maribor, Slovenia
| | - Nadja Kokalj Vokac
- Medical Faculty, University of Maribor, Maribor, Slovenia.,Laboratory of Medical Genetics, University Medical Center Maribor, Maribor, Slovenia
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33
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Ashbrook DG, Cahill S, Hager R. A Cross-Species Systems Genetics Analysis Links APBB1IP as a Candidate for Schizophrenia and Prepulse Inhibition. Front Behav Neurosci 2019; 13:266. [PMID: 31920576 PMCID: PMC6914690 DOI: 10.3389/fnbeh.2019.00266] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/17/2019] [Accepted: 11/22/2019] [Indexed: 12/20/2022] Open
Abstract
Background: Prepulse inhibition (PPI) of the startle response is a highly conserved form of sensorimotor gating, disruption of which is found in schizophrenia patients and their unaffected first-degree relatives. PPI can be measured in many species, and shows considerable phenotypic variation between and within rodent models. This makes PPI a useful endophenotype. Genome-wide association studies (GWAS) have been carried out to identify genetic variants underlying schizophrenia, and these suggest that schizophrenia is highly polygenic. GWAS have been unable to account for the high heritability of schizophrenia seen in family studies, partly because of the low power of GWAS due to multiple comparisons. By contrast, complementary mouse model linkage studies often have high statistical power to detect variants for behavioral traits but lower resolution, producing loci that include tens or hundreds of genes. To capitalize on the advantages of both GWAS and genetic mouse models, our study uses a cross-species approach to identify novel genes associated with PPI regulation, which thus may contribute to the PPI deficits seen in schizophrenia. Results: Using experimental data from the recombinant inbred (RI) mouse panel BXD, we identified two significant loci affecting PPI. These genomic regions contain genetic variants which influence PPI in mice and are therefore candidates that may be influencing aspects of schizophrenia in humans. We next investigated these regions in whole-genome data from the Psychiatric Genomics Consortium (PGC) schizophrenia GWAS and identify one novel candidate gene (ABPP1IP) that was significantly associated with PPI in mice and risk of schizophrenia in humans. A systems genetics approach demonstrates that APBB1IP coexpresses with several other genes related to schizophrenia in several brain regions. Gene coexpression and enrichment analysis shows clear links between APBB1IP and the immune system. Conclusion: The combination of human GWAS and mouse quantitative trait loci (QTL) from some of the largest study systems available has enabled us to identify a novel gene, APBB1IP, which influences schizophrenia in humans and PPI in mice.
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Affiliation(s)
- David G Ashbrook
- Department of Genetics, Genomics and Informatics, University of Tennessee Health Science Center, Memphis, TN, United States
| | - Stephanie Cahill
- Evolution and Genomic Sciences, Faculty of Biology, Medicine, and Health, Manchester Academic Health Science Centre, The University of Manchester, Manchester, United Kingdom
| | - Reinmar Hager
- Evolution and Genomic Sciences, Faculty of Biology, Medicine, and Health, Manchester Academic Health Science Centre, The University of Manchester, Manchester, United Kingdom
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Zhang C, Rong H. Genetic Advance in Depressive Disorder. ADVANCES IN EXPERIMENTAL MEDICINE AND BIOLOGY 2019; 1180:19-57. [PMID: 31784956 DOI: 10.1007/978-981-32-9271-0_2] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
Major depressive disorder (MDD) and bipolar disorder (BPD) are both chronic, severe mood disorder with high misdiagnosis rate, leading to substantial health and economic burdens to patients around the world. There is a high misdiagnosis rate of bipolar depression (BD) just based on symptomology in depressed patients whose previous manic or mixed episodes have not been well recognized. Therefore, it is important for psychiatrists to identify these two major psychiatric disorders. Recently, with the accumulation of clinical sample sizes and the advances of methodology and technology, certain progress in the genetics of major depression and bipolar disorder has been made. This article reviews the candidate genes for MDD and BD, genetic variation loci, chromosome structural variation, new technologies, and new methods.
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Affiliation(s)
- Chen Zhang
- Division of Mood Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
| | - Han Rong
- Department of Psychiatry, Shenzhen Kangning Hospital, Shenzhen, Guangdong, China
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35
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van den Heuvel MP, Scholtens LH, de Lange SC, Pijnenburg R, Cahn W, van Haren NEM, Sommer IE, Bozzali M, Koch K, Boks MP, Repple J, Pievani M, Li L, Preuss TM, Rilling JK. Evolutionary modifications in human brain connectivity associated with schizophrenia. Brain 2019; 142:3991-4002. [PMID: 31724729 PMCID: PMC6906591 DOI: 10.1093/brain/awz330] [Citation(s) in RCA: 40] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2019] [Revised: 08/13/2019] [Accepted: 09/05/2019] [Indexed: 12/21/2022] Open
Abstract
The genetic basis and human-specific character of schizophrenia has led to the hypothesis that human brain evolution may have played a role in the development of the disorder. We examined schizophrenia-related changes in brain connectivity in the context of evolutionary changes in human brain wiring by comparing in vivo neuroimaging data from humans and chimpanzees, one of our closest living evolutionary relatives and a species with which we share a very recent common ancestor. We contrasted the connectome layout between the chimpanzee and human brain and compared differences with the pattern of schizophrenia-related changes in brain connectivity as observed in patients. We show evidence of evolutionary modifications of human brain connectivity to significantly overlap with the cortical pattern of schizophrenia-related dysconnectivity (P < 0.001, permutation testing). We validated these effects in three additional, independent schizophrenia datasets. We further assessed the specificity of effects by examining brain dysconnectivity patterns in seven other psychiatric and neurological brain disorders (including, among others, major depressive disorder and obsessive-compulsive disorder, arguably characterized by behavioural symptoms that are less specific to humans), which showed no such associations with modifications of human brain connectivity. Comparisons of brain connectivity across humans, chimpanzee and macaques further suggest that features of connectivity that evolved in the human lineage showed the strongest association to the disorder, that is, brain circuits potentially related to human evolutionary specializations. Taken together, our findings suggest that human-specific features of connectome organization may be enriched for changes in brain connectivity related to schizophrenia. Modifications in human brain connectivity in service of higher order brain functions may have potentially also rendered the brain vulnerable to brain dysfunction.
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Affiliation(s)
- Martijn P van den Heuvel
- Connectome Lab, Department of Complex Traits Genetics, Center for Neurogenomics and Cognitive Research, Vrije Universiteit Amsterdam, Amsterdam Neuroscience, Amsterdam, The Netherlands
- Department of Clinical Genetics, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam Neuroscience, Amsterdam, The Netherlands
| | - Lianne H Scholtens
- Connectome Lab, Department of Complex Traits Genetics, Center for Neurogenomics and Cognitive Research, Vrije Universiteit Amsterdam, Amsterdam Neuroscience, Amsterdam, The Netherlands
| | - Siemon C de Lange
- Connectome Lab, Department of Complex Traits Genetics, Center for Neurogenomics and Cognitive Research, Vrije Universiteit Amsterdam, Amsterdam Neuroscience, Amsterdam, The Netherlands
| | - Rory Pijnenburg
- Connectome Lab, Department of Complex Traits Genetics, Center for Neurogenomics and Cognitive Research, Vrije Universiteit Amsterdam, Amsterdam Neuroscience, Amsterdam, The Netherlands
| | - Wiepke Cahn
- Department of Psychiatry, Brain Center University Medical Center Utrecht, Utrecht University, The Netherlands
| | - Neeltje E M van Haren
- Department of Psychiatry, Brain Center University Medical Center Utrecht, Utrecht University, The Netherlands
- Department of Child and Adolescent Psychiatry, Erasmus Medical Centre, Rotterdam, The Netherlands
| | - Iris E Sommer
- Department of Psychiatry, Brain Center University Medical Center Utrecht, Utrecht University, The Netherlands
- Department of Neuroscience and Department of Psychiatry, University Medical Center Groningen, The Netherlands
| | - Marco Bozzali
- Department of Neuroscience, Brighton and Sussex Medical School, University of Sussex, Brighton, East Sussex, UK
- Neuroimaging Laboratory, Santa Lucia Foundation IRCCS, Rome, Italy
| | - Kathrin Koch
- Department of Neuroradiology and TUM-Neuroimaging Center (TUM-NIC), School of Medicine, Klinikum rechts der Isar, Technische Universität München, Munich, Germany
- Graduate School of Systemic Neurosciences GSN, Ludwig-Maximilians-Universität, Biocenter, Munich, Germany
| | - Marco P Boks
- Department of Psychiatry, Brain Center University Medical Center Utrecht, Utrecht University, The Netherlands
| | - Jonathan Repple
- Department of Psychiatry, University of Muenster, Muenster, Germany
| | - Michela Pievani
- Lab Alzheimer’s Neuroimaging and Epidemiology, IRCCS Istituto Centro San Giovanni di Dio Fatebenefratelli, Brescia, Italy
| | - Longchuan Li
- Marcus Autism Center, Children’s Healthcare of Atlanta, Emory University School of Medicine, Atlanta, GA, USA
| | - Todd M Preuss
- Division of Neuropharmacology and Neurologic Diseases, Yerkes National Primate Research Center, Emory University, Atlanta, GA, USA
- Center for Translational Social Neuroscience, Emory University, Atlanta, GA, USA
- Center for Behavioral Neuroscience, Atlanta, GA, USA
| | - James K Rilling
- Center for Translational Social Neuroscience, Emory University, Atlanta, GA, USA
- Center for Behavioral Neuroscience, Atlanta, GA, USA
- Department of Anthropology, Emory University, 1557 Dickey Drive, Atlanta, GA 30322, USA
- Department of Psychiatry and Behavioral Sciences, Emory University, 201 Dowman Drive, Atlanta, GA 30322, USA
- Division of Developmental and Cognitive Neuroscience, Yerkes National Primate Research Center, Emory University, Atlanta, GA, USA
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36
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van Bergen AH, Verkooijen S, Vreeker A, Abramovic L, Hillegers MH, Spijker AT, Hoencamp E, Regeer EJ, Knapen SE, Riemersma-van der Lek RF, Schoevers R, Stevens AW, Schulte PFJ, Vonk R, Hoekstra R, van Beveren NJ, Kupka RW, Sommer IEC, Ophoff RA, Kahn RS, Boks MPM. The characteristics of psychotic features in bipolar disorder. Psychol Med 2019; 49:2036-2048. [PMID: 30303059 DOI: 10.1017/s0033291718002854] [Citation(s) in RCA: 21] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/21/2023]
Abstract
BACKGROUND In a large and comprehensively assessed sample of patients with bipolar disorder type I (BDI), we investigated the prevalence of psychotic features and their relationship with life course, demographic, clinical, and cognitive characteristics. We hypothesized that groups of psychotic symptoms (Schneiderian, mood incongruent, thought disorder, delusions, and hallucinations) have distinct relations to risk factors. METHODS In a cross-sectional study of 1342 BDI patients, comprehensive demographical and clinical characteristics were assessed using the Structured Clinical Interview for DSM-IV (SCID-I) interview. In addition, levels of childhood maltreatment and intelligence quotient (IQ) were assessed. The relationships between these characteristics and psychotic symptoms were analyzed using multiple general linear models. RESULTS A lifetime history of psychotic symptoms was present in 73.8% of BDI patients and included delusions in 68.9% of patients and hallucinations in 42.6%. Patients with psychotic symptoms showed a significant younger age of disease onset (β = -0.09, t = -3.38, p = 0.001) and a higher number of hospitalizations for manic episodes (F11 338 = 56.53, p < 0.001). Total IQ was comparable between groups. Patients with hallucinations had significant higher levels of childhood maltreatment (β = 0.09, t = 3.04, p = 0.002). CONCLUSIONS In this large cohort of BDI patients, the vast majority of patients had experienced psychotic symptoms. Psychotic symptoms in BDI were associated with an earlier disease onset and more frequent hospitalizations particularly for manic episodes. The study emphasizes the strength of the relation between childhood maltreatment and hallucinations but did not identify distinct subgroups based on psychotic features and instead reported of a large heterogeneity of psychotic symptoms in BD.
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Affiliation(s)
- Annet H van Bergen
- Department of Psychiatry, University Medical Center Utrecht, Brain Center Rudolf Magnus, Utrecht, The Netherlands
- Department of Psychiatry, Rode Kruis Ziekenhuis, Beverwijk, The Netherlands
| | - Sanne Verkooijen
- Department of Psychiatry, University Medical Center Utrecht, Brain Center Rudolf Magnus, Utrecht, The Netherlands
| | - Annabel Vreeker
- Department of Psychiatry, University Medical Center Utrecht, Brain Center Rudolf Magnus, Utrecht, The Netherlands
| | - Lucija Abramovic
- Department of Psychiatry, University Medical Center Utrecht, Brain Center Rudolf Magnus, Utrecht, The Netherlands
| | - Manon H Hillegers
- Department of Psychiatry, University Medical Center Utrecht, Brain Center Rudolf Magnus, Utrecht, The Netherlands
- Department of Psychiatry, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Annet T Spijker
- Department of Mood Disorders, PsyQ, The Hague and Rotterdam, The Netherlands
| | - Erik Hoencamp
- Parnassie Group, The Hague, The Netherlands
- Insitute of Psychology Leiden University, Leiden, The Netherlands
| | - Eline J Regeer
- Altrecht Institute for Mental Health Care, Utrecht, The Netherlands
| | - Stefan E Knapen
- Department of Psychiatry, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Rixt F Riemersma-van der Lek
- Department of Psychiatry, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Robert Schoevers
- Department of Psychiatry, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Anja W Stevens
- Dimence Center for Bipolar Disorders, Almelo, The Netherlands
| | - Peter F J Schulte
- Mental Health Service, Noord Holland Noord, Alkmaar, The Netherlands
| | - Ronald Vonk
- Reinier van Arkel, 's-Hertogenbosch, The Netherlands
| | - Rocco Hoekstra
- Antes, Delta Center for Mental Health Care, Rotterdam, The Netherlands
| | | | - Ralph W Kupka
- Altrecht Institute for Mental Health Care, Utrecht, The Netherlands
- Department of Psychiatry, VU University Medical Center, Amsterdam, The Netherlands
| | - Iris E C Sommer
- Department of Psychiatry, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Roel A Ophoff
- Department of Psychiatry, University Medical Center Utrecht, Brain Center Rudolf Magnus, Utrecht, The Netherlands
- Semel Institute For Neuroscience and Human Behavior, University of California, Los Angeles, USA
| | - René S Kahn
- Department of Psychiatry, University Medical Center Utrecht, Brain Center Rudolf Magnus, Utrecht, The Netherlands
- Department of Psychiatry, Mount Sinai School of Medicine, New York, USA
| | - Marco P M Boks
- Department of Psychiatry, University Medical Center Utrecht, Brain Center Rudolf Magnus, Utrecht, The Netherlands
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Sriretnakumar V, Zai CC, Wasim S, Barsanti-Innes B, Kennedy JL, So J. Copy number variant syndromes are frequent in schizophrenia: Progressing towards a CNV-schizophrenia model. Schizophr Res 2019; 209:171-178. [PMID: 31080157 DOI: 10.1016/j.schres.2019.04.026] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/17/2018] [Revised: 02/26/2019] [Accepted: 04/30/2019] [Indexed: 12/23/2022]
Abstract
The genetic underpinnings of schizophrenia (SCZ) remain unclear. SCZ genetic studies thus far have only identified numerous single nucleotide polymorphisms with small effect sizes and a handful of copy number variants (CNVs). This study investigates the prevalence of well-characterized CNV syndromes and candidate CNVs within a cohort of 348 SCZ patients, and explores correlations to their phenotypic findings. There was an enrichment of syndromic CNVs in the cohort, as well as brain-related and immune pathway genes within the detected CNVs. SCZ patients with brain-related CNVs had increased CNV burden, neurodevelopmental features, and types of hallucinations. Based on these results, we propose a CNV-SCZ model wherein specific phenotypic profiles should be prioritized for CNV screening within the SCZ patient population.
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Affiliation(s)
- Venuja Sriretnakumar
- Centre for Addiction and Mental Health, Campbell Family Mental Health Research Institute, 250 College Street, Toronto M5T 1R8, Canada
| | - Clement C Zai
- Centre for Addiction and Mental Health, Campbell Family Mental Health Research Institute, 250 College Street, Toronto M5T 1R8, Canada
| | - Syed Wasim
- The Fred A. Litwin Family Centre in Genetic Medicine, University Health Network & Mount Sinai Hospital, 60 Murray Street, Toronto M5T 3L9, Canada
| | - Brianna Barsanti-Innes
- Centre for Addiction and Mental Health, Campbell Family Mental Health Research Institute, 250 College Street, Toronto M5T 1R8, Canada
| | - James L Kennedy
- Centre for Addiction and Mental Health, Campbell Family Mental Health Research Institute, 250 College Street, Toronto M5T 1R8, Canada
| | - Joyce So
- Centre for Addiction and Mental Health, Campbell Family Mental Health Research Institute, 250 College Street, Toronto M5T 1R8, Canada; The Fred A. Litwin Family Centre in Genetic Medicine, University Health Network & Mount Sinai Hospital, 60 Murray Street, Toronto M5T 3L9, Canada.
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38
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Fong SH, Carlin DE, Ozturk K, Ideker T. Strategies for Network GWAS Evaluated Using Classroom Crowd Science. Cell Syst 2019; 8:275-280. [PMID: 31022372 DOI: 10.1016/j.cels.2019.03.013] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/02/2019] [Accepted: 03/29/2019] [Indexed: 12/15/2022]
Abstract
Biological networks can substantially boost power to identify disease genes in genome-wide association studies. To explore different network GWAS methods, we challenged students of a UC San Diego graduate level bioinformatics course, Network Biology and Biomedicine, to explore and improve such algorithms during a four-week-long classroom competition. Here, we report the many creative solutions and share our experiences in conducting classroom crowd science as both a research and pedagogical tool.
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Affiliation(s)
- Samson H Fong
- Department of Medicine, University of California San Diego, La Jolla, CA 92093, USA; Department of Bioengineering, University of California San Diego, La Jolla, CA 92093, USA
| | - Daniel E Carlin
- Department of Medicine, University of California San Diego, La Jolla, CA 92093, USA
| | - Kivilcim Ozturk
- Department of Medicine, University of California San Diego, La Jolla, CA 92093, USA; Program in Bioinformatics, University of California San Diego, La Jolla, CA 92093, USA
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- Program in Bioinformatics, University of California San Diego, La Jolla, CA 92093, USA
| | - Trey Ideker
- Department of Medicine, University of California San Diego, La Jolla, CA 92093, USA; Department of Bioengineering, University of California San Diego, La Jolla, CA 92093, USA; Program in Bioinformatics, University of California San Diego, La Jolla, CA 92093, USA.
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39
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Wang C, Deng S, Sun L, Li L, Hu YQ. A nonparametric test for association with multiple loci in the retrospective case-control study. Stat Methods Med Res 2019; 29:589-602. [PMID: 30987531 DOI: 10.1177/0962280219842892] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
The genome-wide association studies aim at identifying common or rare variants associated with common diseases and explaining more heritability. It is well known that common diseases are influenced by multiple single nucleotide polymorphisms (SNPs) that are usually correlated in location or function. In order to powerfully detect association signals, it is highly desirable to take account of correlations or linkage disequilibrium (LD) information among multiple SNPs in testing for association. In this article, we propose a test SLIDE that depicts the difference of the average multi-locus genotypes between cases and controls and derive its variance-covariance matrix in the retrospective design. This matrix is composed of the pairwise LD between SNPs. Thus SLIDE can borrow the strength from an external database in the population of interest with a few thousands to hundreds of thousands individuals to improve the power for detecting association. Extensive simulations show that SLIDE has apparent superiority over the existing methods, especially in the situation involving both common and rare variants, both protective and deleterious variants. Furthermore, the efficiency of the proposed method is demonstrated in the application to the data from the Wellcome Trust Case Control Consortium.
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Affiliation(s)
- Chan Wang
- State Key Laboratory of Genetic Engineering, School of Life Sciences, Institute of Biostatistics, Fudan University, Shanghai, China.,Division of Biostatistics, Department of Population Health, New York University School of Medicine, New York, NY, USA
| | - Shufang Deng
- State Key Laboratory of Genetic Engineering, School of Life Sciences, Institute of Biostatistics, Fudan University, Shanghai, China
| | - Leiming Sun
- State Key Laboratory of Genetic Engineering, School of Life Sciences, Institute of Biostatistics, Fudan University, Shanghai, China
| | - Liming Li
- State Key Laboratory of Genetic Engineering, School of Life Sciences, Institute of Biostatistics, Fudan University, Shanghai, China
| | - Yue-Qing Hu
- State Key Laboratory of Genetic Engineering, School of Life Sciences, Institute of Biostatistics, Fudan University, Shanghai, China.,Shanghai Center for Mathematical Sciences, Fudan University, Shanghai, China
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40
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Schulmann A, Ryu E, Goncalves V, Rollins B, Christiansen M, Frye MA, Biernacka J, Vawter MP. Novel Complex Interactions between Mitochondrial and Nuclear DNA in Schizophrenia and Bipolar Disorder. MOLECULAR NEUROPSYCHIATRY 2019; 5:13-27. [PMID: 31019915 PMCID: PMC6465701 DOI: 10.1159/000495658] [Citation(s) in RCA: 27] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/05/2018] [Accepted: 11/20/2018] [Indexed: 12/21/2022]
Abstract
Mitochondrial dysfunction has been associated with schizophrenia (SZ) and bipolar disorder (BD). This review examines recent publications and novel associations between mitochondrial genes and SZ and BD. Associations of nuclear-encoded mitochondrial variants with SZ were found using gene- and pathway-based approaches. Two control region mitochondrial DNA (mtDNA) SNPs, T16519C and T195C, both showed an association with SZ and BD. A review of 4 studies of A15218G located in the cytochrome B oxidase gene (CYTB, SZ = 11,311, control = 35,735) shows a moderate association with SZ (p = 2.15E-03). Another mtDNA allele A12308G was nominally associated with psychosis in BD type I subjects and SZ. The first published study testing the epistatic interaction between nuclear-encoded and mitochondria-encoded genes demonstrated evidence for potential interactions between mtDNA and the nuclear genome for BD. A similar analysis for the risk of SZ revealed significant joint effects (34 nuclear-mitochondria SNP pairs with joint effect p ≤ 5E-07) and significant enrichment of projection neurons. The mitochondria-encoded gene CYTB was found in both the epistatic interactions for SZ and BD and the single SNP association of SZ. Future efforts considering population stratification and polygenic risk scores will test the role of mitochondrial variants in psychiatric disorders.
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Affiliation(s)
- Anton Schulmann
- Janelia Research Campus, Howard Hughes Medical Institute, Ashburn, Virginia, USA
| | - Euijung Ryu
- Department of Health Sciences Research, Mayo Clinic, Rochester, Minnesota, USA
| | - Vanessa Goncalves
- Molecular Brain Science Department, Centre for Addiction and Mental Health, Toronto, Ontario, Canada
| | - Brandi Rollins
- Functional Genomics Laboratory, Department of Psychiatry and Human Behavior, School of Medicine, University of California, Irvine, California, USA
| | - Michael Christiansen
- Department for Congenital Disorders, Statens Serum Institut, Copenhagen, Denmark
- Department of Biomedical Science, University of Copenhagen, Copenhagen, Denmark
| | - Mark A. Frye
- Department of Psychiatry and Psychology, Mayo Clinic, Rochester, Minnesota, USA
| | - Joanna Biernacka
- Department of Health Sciences Research, Mayo Clinic, Rochester, Minnesota, USA
- Department of Psychiatry and Psychology, Mayo Clinic, Rochester, Minnesota, USA
| | - Marquis P. Vawter
- Functional Genomics Laboratory, Department of Psychiatry and Human Behavior, School of Medicine, University of California, Irvine, California, USA
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41
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Migdalska-Richards A, Mill J. Epigenetic studies of schizophrenia: current status and future directions. Curr Opin Behav Sci 2019. [DOI: 10.1016/j.cobeha.2018.12.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/27/2022]
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42
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Kraeuter AK, Guest PC, Sarnyai Z. The Therapeutic Potential of Ketogenic Diet Throughout Life: Focus on Metabolic, Neurodevelopmental and Neurodegenerative Disorders. ADVANCES IN EXPERIMENTAL MEDICINE AND BIOLOGY 2019; 1178:77-101. [PMID: 31493223 DOI: 10.1007/978-3-030-25650-0_5] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
This chapter reviews the efficacy of the ketogenic diet in a variety of neurodegenerative, neurodevelopmental and metabolic conditions throughout different stages of life. It describes conditions affecting children, metabolic disorders in adults and disorderrs affecting the elderly. We have focused on application of the ketogenic diet in clinical studies and in preclinical models and discuss the benefits and negative aspects of the diet. Finally, we highlight the need for further research in this area with a view of discovering novel mechanistic targets of the ketogenic diet, as a means of maximising the potential benefits/risks ratio.
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Affiliation(s)
- Ann-Katrin Kraeuter
- Laboratory of Psychiatric Neuroscience, Australian Institute of Tropical Health and Medicine, James Cook University, Townsville, QLD, Australia.,Discipline of Biomedicine, College of Public Health, Medicine and Veterinary Sciences, James Cook University, Townsville, QLD, Australia
| | - Paul C Guest
- Laboratory of Neuroproteomics, Department of Biochemistry and Tissue Biology, Institute of Biology, University of Campinas (UNICAMP), Campinas, Brazil
| | - Zoltan Sarnyai
- Laboratory of Psychiatric Neuroscience, Australian Institute of Tropical Health and Medicine, James Cook University, Townsville, QLD, Australia. .,Discipline of Biomedicine, College of Public Health, Medicine and Veterinary Sciences, James Cook University, Townsville, QLD, Australia.
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43
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Mehta D, Czamara D. GWAS of Behavioral Traits. Curr Top Behav Neurosci 2019; 42:1-34. [PMID: 31407241 DOI: 10.1007/7854_2019_105] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/10/2023]
Abstract
Over the past decade, genome-wide association studies (GWAS) have evolved into a powerful tool to investigate genetic risk factors for human diseases via a hypothesis-free scan of the genome. The success of GWAS for psychiatric disorders and behavioral traits have been somewhat mixed, partly owing to the complexity and heterogeneity of these traits. Significant progress has been made in the last few years in the development and implementation of complex statistical methods and algorithms incorporating GWAS. Such advanced statistical methods applied to GWAS hits in combination with incorporation of different layers of genomics data have catapulted the search for novel genes for behavioral traits and improved our understanding of the complex polygenic architecture of these traits.This chapter will give a brief overview on GWAS and statistical methods currently used in GWAS. The chapter will focus on reviewing the current literature and highlight some of the most important GWAS on psychiatric and other behavioral traits and will conclude with a discussion on future directions.
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Affiliation(s)
- Divya Mehta
- School of Psychology and Counselling, Faculty of Health, Institute of Health and Biomedical Innovation, Queensland University of Technology, Kelvin Grove, QLD, Australia.
| | - Darina Czamara
- Department of Translational Psychiatry, Max Planck Institute of Psychiatry, Munich, Germany
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44
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Breuer R, Mattheisen M, Frank J, Krumm B, Treutlein J, Kassem L, Strohmaier J, Herms S, Mühleisen TW, Degenhardt F, Cichon S, Nöthen MM, Karypis G, Kelsoe J, Greenwood T, Nievergelt C, Shilling P, Shekhtman T, Edenberg H, Craig D, Szelinger S, Nurnberger J, Gershon E, Alliey-Rodriguez N, Zandi P, Goes F, Schork N, Smith E, Koller D, Zhang P, Badner J, Berrettini W, Bloss C, Byerley W, Coryell W, Foroud T, Guo Y, Hipolito M, Keating B, Lawson W, Liu C, Mahon P, McInnis M, Murray S, Nwulia E, Potash J, Rice J, Scheftner W, Zöllner S, McMahon FJ, Rietschel M, Schulze TG. Detecting significant genotype-phenotype association rules in bipolar disorder: market research meets complex genetics. Int J Bipolar Disord 2018; 6:24. [PMID: 30415424 PMCID: PMC6230336 DOI: 10.1186/s40345-018-0132-x] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/19/2018] [Accepted: 08/22/2018] [Indexed: 12/21/2022] Open
Abstract
Background Disentangling the etiology of common, complex diseases is a major challenge in genetic research. For bipolar disorder (BD), several genome-wide association studies (GWAS) have been performed. Similar to other complex disorders, major breakthroughs in explaining the high heritability of BD through GWAS have remained elusive. To overcome this dilemma, genetic research into BD, has embraced a variety of strategies such as the formation of large consortia to increase sample size and sequencing approaches. Here we advocate a complementary approach making use of already existing GWAS data: a novel data mining procedure to identify yet undetected genotype–phenotype relationships. We adapted association rule mining, a data mining technique traditionally used in retail market research, to identify frequent and characteristic genotype patterns showing strong associations to phenotype clusters. We applied this strategy to three independent GWAS datasets from 2835 phenotypically characterized patients with BD. In a discovery step, 20,882 candidate association rules were extracted. Results Two of these rules—one associated with eating disorder and the other with anxiety—remained significant in an independent dataset after robust correction for multiple testing. Both showed considerable effect sizes (odds ratio ~ 3.4 and 3.0, respectively) and support previously reported molecular biological findings. Conclusion Our approach detected novel specific genotype–phenotype relationships in BD that were missed by standard analyses like GWAS. While we developed and applied our method within the context of BD gene discovery, it may facilitate identifying highly specific genotype–phenotype relationships in subsets of genome-wide data sets of other complex phenotype with similar epidemiological properties and challenges to gene discovery efforts. Electronic supplementary material The online version of this article (10.1186/s40345-018-0132-x) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- René Breuer
- Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim/Heidelberg University, Mannheim, Germany
| | - Manuel Mattheisen
- Department of Genomics, Life & Brain Center, University of Bonn, Bonn, Germany.,Institute of Human Genetics, University of Bonn, Bonn, Germany.,Center for Integrative Sequencing, iSEQ, Department of Biomedicine, Aarhus University, Aarhus, Denmark.,Department of Psychiatry, Psychosomatics, and Psychotherapy, University of Würzburg, Würzburg, Germany
| | - Josef Frank
- Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim/Heidelberg University, Mannheim, Germany
| | - Bertram Krumm
- Department for Biostatistics, Central Institute of Mental Health, Medical Faculty Mannheim/Heidelberg University, Mannheim, Germany
| | - Jens Treutlein
- Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim/Heidelberg University, Mannheim, Germany
| | - Layla Kassem
- Human Genetics Branch, Intramural Research Program, National Institute of Mental Health, National Institutes of Health, US Department of Health and Human Services, Bethesda, MD, USA
| | - Jana Strohmaier
- Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim/Heidelberg University, Mannheim, Germany
| | - Stefan Herms
- Department of Genomics, Life & Brain Center, University of Bonn, Bonn, Germany.,Institute of Human Genetics, University of Bonn, Bonn, Germany
| | - Thomas W Mühleisen
- Department of Genomics, Life & Brain Center, University of Bonn, Bonn, Germany.,Institute of Human Genetics, University of Bonn, Bonn, Germany
| | - Franziska Degenhardt
- Department of Genomics, Life & Brain Center, University of Bonn, Bonn, Germany.,Institute of Human Genetics, University of Bonn, Bonn, Germany
| | - Sven Cichon
- Department of Genomics, Life & Brain Center, University of Bonn, Bonn, Germany.,Institute of Human Genetics, University of Bonn, Bonn, Germany.,Institute of Neuroscience and Medicine (INM-1), Structural and Functional Organisation of the Brain, Genomic Imaging, Research Centre Juelich, Juelich, Germany.,Department of Biomedicine, University of Basel, Basel, Switzerland
| | - Markus M Nöthen
- Department of Genomics, Life & Brain Center, University of Bonn, Bonn, Germany.,Institute of Human Genetics, University of Bonn, Bonn, Germany
| | - George Karypis
- Department of Computer Science & Engineering, University of Minnesota, Minneapolis, MN, USA
| | - John Kelsoe
- Department of Psychiatry, University of California San Diego, San Diego, USA
| | - Tiffany Greenwood
- Department of Psychiatry, University of California San Diego, San Diego, USA.,BGI-Shenzhen, Beishan Industrial Zone, Yantian District, Shenzhen, China
| | - Caroline Nievergelt
- Department of Psychiatry, University of California San Diego, San Diego, USA
| | - Paul Shilling
- Department of Psychiatry, University of California San Diego, San Diego, USA
| | - Tatyana Shekhtman
- Department of Psychiatry, University of California San Diego, San Diego, USA
| | - Howard Edenberg
- Department of Biochemistry and Molecular Biology, Indiana University School of Medicine, Indianapolis, USA
| | - David Craig
- The Translational Genomics Research Institute, Phoenix, USA
| | | | - John Nurnberger
- Department of Psychiatry, Indiana University School of Medicine, Indianapolis, USA
| | - Elliot Gershon
- Department of Psychiatry and Behavioral Neuroscience, University of Chicago, Chicago, USA
| | - Ney Alliey-Rodriguez
- Department of Psychiatry and Behavioral Neuroscience, University of Chicago, Chicago, USA
| | - Peter Zandi
- Department of Mental Health, John Hopkins Bloomberg School of Public Health, Baltimore, USA
| | - Fernando Goes
- Department of Psychiatry and Behavioral Sciences, John Hopkins School of Medicine, Baltimore, USA
| | - Nicholas Schork
- The Translational Genomics Research Institute, Phoenix, USA.,J. Craig Venter Institute, La Jolla, USA
| | - Erin Smith
- Scripps Genomic Medicine & The Scripps Translational Sciences Institute (STSI), La Jolla, USA.,Department of Pediatrics and Rady's Children's Hospital, School of Medicine, University of California San Diego, La Jolla, USA
| | - Daniel Koller
- Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, USA
| | - Peng Zhang
- Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, USA
| | - Judith Badner
- Department of Psychiatry and Behavioral Neuroscience, University of Chicago, Chicago, USA
| | - Wade Berrettini
- Department of Psychiatry, University of Pennsylvania, Philadelphia, USA
| | | | - William Byerley
- Department of Psychiatry, University of California at San Francisco, San Francisco, USA
| | | | - Tatiana Foroud
- Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, USA
| | - Yirin Guo
- Center for Applied Genomics, Children's Hospital of Philadelphia, Abramson Research Center, Philadelphia, USA
| | - Maria Hipolito
- Department of Psychiatry and Behavioral Sciences, Howard University Hospital, Washington, USA
| | - Brendan Keating
- Cardiovascular Institute, University of Pennsylvania School of Medicine, Philadelphia, PA, USA.,Institute for Translational Medicine and Therapeutics, School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - William Lawson
- Dell Medical School, University of Texas at Austin, Austin, USA
| | - Chunyu Liu
- Department of Psychiatry, University of Illinois at Chicago, Chicago, USA
| | - Pamela Mahon
- Department of Psychiatry and Behavioral Sciences, John Hopkins School of Medicine, Baltimore, USA
| | - Melvin McInnis
- Department of Psychiatry, University of Michigan, Ann Arbor, USA
| | - Sarah Murray
- Scripps Genomic Medicine & The Scripps Translational Sciences Institute (STSI), La Jolla, USA.,Department of Pathology, University of California San Diego, La Jolla, USA
| | | | - James Potash
- Department of Psychiatry, Carver College of Medicine, University of Iowa School of Medicine, Iowa City, USA
| | - John Rice
- Department of Psychiatry, Washington University School of Medicine in St. Louis, St. Louis, USA
| | | | - Sebastian Zöllner
- Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, USA
| | - Francis J McMahon
- Human Genetics Branch, Intramural Research Program, National Institute of Mental Health, National Institutes of Health, US Department of Health and Human Services, Bethesda, MD, USA
| | - Marcella Rietschel
- Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim/Heidelberg University, Mannheim, Germany
| | - Thomas G Schulze
- Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim/Heidelberg University, Mannheim, Germany. .,Human Genetics Branch, Intramural Research Program, National Institute of Mental Health, National Institutes of Health, US Department of Health and Human Services, Bethesda, MD, USA. .,Department of Psychiatry and Psychotherapy, University of Göttingen, Göttingen, Germany. .,Institute of Psychiatric Phenomics and Genomics (IPPG), Ludwig-Maximilians-University, Munich, Nußbaumstr. 7, 80336, Munich, Germany.
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Ranlund S, Rosa MJ, de Jong S, Cole JH, Kyriakopoulos M, Fu CHY, Mehta MA, Dima D. Associations between polygenic risk scores for four psychiatric illnesses and brain structure using multivariate pattern recognition. Neuroimage Clin 2018; 20:1026-1036. [PMID: 30340201 PMCID: PMC6197704 DOI: 10.1016/j.nicl.2018.10.008] [Citation(s) in RCA: 32] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/05/2018] [Revised: 10/04/2018] [Accepted: 10/08/2018] [Indexed: 12/24/2022]
Abstract
Psychiatric illnesses are complex and polygenic. They are associated with widespread alterations in the brain, which are partly influenced by genetic factors. There have been some attempts to relate polygenic risk scores (PRS) - a measure of the overall genetic risk an individual carries for a disorder - to brain structure using univariate methods. However, PRS are likely associated with distributed and covarying effects across the brain. We therefore used multivariate machine learning in this proof-of-principle study to investigate associations between brain structure and PRS for four psychiatric disorders; attention deficit-hyperactivity disorder (ADHD), autism, bipolar disorder and schizophrenia. The sample included 213 individuals comprising patients with depression (69), bipolar disorder (33), and healthy controls (111). The five psychiatric PRSs were calculated based on summary data from the Psychiatric Genomics Consortium. T1-weighted magnetic resonance images were obtained and voxel-based morphometry was implemented in SPM12. Multivariate relevance vector regression was implemented in the Pattern Recognition for Neuroimaging Toolbox (PRoNTo). Across the whole sample, a multivariate pattern of grey matter significantly predicted the PRS for autism (r = 0.20, pFDR = 0.03; MSE = 4.20 × 10-5, pFDR = 0.02). For the schizophrenia PRS, the MSE was significant (MSE = 1.30 × 10-5, pFDR = 0.02) although the correlation was not (r = 0.15, pFDR = 0.06). These results lend support to the hypothesis that polygenic liability for autism and schizophrenia is associated with widespread changes in grey matter concentrations. These associations were seen in individuals not affected by these disorders, indicating that this is not driven by the expression of the disease, but by the genetic risk captured by the PRSs.
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Affiliation(s)
- Siri Ranlund
- Department of Neuroimaging, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Maria Joao Rosa
- Department of Computer Science, University College London, London, UK
| | - Simone de Jong
- NIHR BRC for Mental Health, Institute of Psychiatry, Psychology and Neuroscience, King's College London and SLaM NHS Trust, London, UK; MRC Social, Genetic & Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - James H Cole
- Department of Neuroimaging, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK; Computational, Cognitive & Clinical Neuroimaging Laboratory, Division of Brain Sciences, Department of Medicine, Imperial College London, London, UK
| | - Marinos Kyriakopoulos
- National and Specialist Acorn Lodge Inpatient Children Unit, South London and Maudsley NHS Foundation Trust, London, UK; Department of Child and Adolescent Psychiatry, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Cynthia H Y Fu
- School of Psychology, University of East London, London, UK; Centre for Affective Disorders, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Mitul A Mehta
- Department of Neuroimaging, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Danai Dima
- Department of Neuroimaging, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK; Department of Psychology, School of Arts and Social Sciences, City, University of London, London, UK.
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Promoter Polymorphisms of TNF-α Gene as a Risk Factor for Schizophrenia. Arch Med Res 2018; 49:248-254. [PMID: 30268704 DOI: 10.1016/j.arcmed.2018.09.007] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/27/2018] [Accepted: 09/14/2018] [Indexed: 01/07/2023]
Abstract
BACKGROUND/AIMS The latest data showed a link between mental disorders and altered immune function. Schizophrenia is a multifactorial disease with numerous changes in the immunological system. The TNF-α gene is a strong candidate for schizophrenia susceptibility. The focus of this paper were the -1031 T/C, -863 C/A, -857 C/T, -308 G/A single nucleotide polymorphisms (SNPs) of the TNF-α gene. METHODS We conducted a case-control study of 401 patients with schizophrenia and 606 healthy subjects. The connections between tested SNPs and clinical variables (PANSS, age of onset, a family history, and suicide attempts) were also examined. RESULTS The presence of genotypes: the C/C at -1031 T/C; the C/C at -863 C/A; the G/G at -308 G/A in the TNF-α gene was associated with a higher risk of schizophrenia in men. The presence of A allele at -308 G/A increased a risk of schizophrenia in women. Three haplotypes were associated with a higher risk of schizophrenia in men but not women. We did not reveal any associated tested SNPs with intensity of schizophrenia symptoms. CONCLUSION Our results indicate that in addition to -308 G/A, other promoter polymorphisms of TNF-α gene are associated with schizophrenia susceptibility depending on the sex. Tested SNPs are not associated with the psychopathology of schizophrenia.
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Polymorphic Variants of TNFR2 Gene in Schizophrenia and Its Interaction with -308G/A TNF-α Gene Polymorphism. Mediators Inflamm 2018; 2018:8741249. [PMID: 30254506 PMCID: PMC6142735 DOI: 10.1155/2018/8741249] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2018] [Accepted: 08/16/2018] [Indexed: 11/18/2022] Open
Abstract
Aim Many data showed a role of inflammation and dysfunction of immune system as important factors in the risk of schizophrenia. The TNFR2 receptor is a molecule that adapts to both areas. Tumor necrosis factor receptor 2 (TNFR2) is a receptor for the TNF-α cytokine which is a strong candidate gene for schizophrenia. The serum level of TNFR2 was significantly increased in schizophrenia and associated with more severe symptoms of schizophrenia. Methods We examined the association of the three single nucleotide polymorphisms (rs3397, rs1061622, and rs1061624) in TNFR2 gene with a predisposition to and psychopathology of paranoid schizophrenia in Caucasian population. The psychopathology was measured by a five-factor model of the PANSS scale. We also assessed a haplotype analysis with the -308G/A of TNF-α gene. Results Our case-control study (401 patients and 657 controls) revealed that the genetic variants of rs3397, rs1061622, and rs1061624 in the TNFR2 gene are associated with a higher risk of developing schizophrenia and more severe course in men. However, the genotypes with polymorphic allele for rs3397 SNP are protective for women. The rs1061624 SNP might modulate the appearance of the disease in relatives of people with schizophrenia. The CTGG haplotype build with tested SNPs of TNFR2 and SNP -308G/A of TNF-α has an association with a risk of schizophrenia in Caucasian population depending on sex. Our finding is especially true for the paranoid subtypes of schizophrenia.
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O'Brien NL, Fiorentino A, Curtis D, Rayner C, Petrosellini C, Al Eissa M, Bass NJ, McQuillin A, Sharp SI. Rare variant analysis in multiply affected families, association studies and functional analysis suggest a role for the ITGΒ4 gene in schizophrenia and bipolar disorder. Schizophr Res 2018; 199:181-188. [PMID: 29526452 PMCID: PMC6179966 DOI: 10.1016/j.schres.2018.03.001] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/11/2017] [Revised: 02/22/2018] [Accepted: 03/01/2018] [Indexed: 11/29/2022]
Abstract
Recent results imply that rare variants contribute to the risk of schizophrenia. Exome sequence data from the UK10K project was used to identify three rare, amino acid changing variants in the ITGB4 gene which segregated with schizophrenia in two families: rs750367954, rs147480547 and rs145976111. Association analysis was carried out in the exome-sequenced Swedish schizophrenia study and in UCL schizophrenia and bipolar cases and controls genotyped for these variants. A gene-wise weighted burden test was performed on a trio sample of schizophrenia cases and their parents. rs750367954 was seen in two Swedish cases and in no controls. The other two variants were commoner in cases than controls in both Swedish and UCL cohort samples and an overall burden test was significant at p=0.0000031. The variants were not observed in the trio sample but ITGB4 was most highly ranked out of 14,960 autosomal genes in a gene-wise weighted burden test. The effect of rs147480547 and rs145976111 was studied in human neuroblastoma SH-SY5Y cells. Cells transfected with both variants had increased proliferation at both 24 and 48h (p=0.013 and p=0.05 respectively) compared to those with wild-type ITGB4. Taken together, these results suggest that rare variants in ITGB4 which affect function may contribute to the aetiology of schizophrenia and bipolar disorder.
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Affiliation(s)
- N L O'Brien
- UCL Molecular Psychiatry Laboratory, Division of Psychiatry, University College London, London, UK
| | - A Fiorentino
- UCL Molecular Psychiatry Laboratory, Division of Psychiatry, University College London, London, UK
| | - D Curtis
- UCL Genetics Institute, University College London, London, UK; Centre for Psychiatry, Barts and the London School of Medicine and Dentistry, London, UK
| | - C Rayner
- UCL Genetics Institute, University College London, London, UK
| | - C Petrosellini
- UCL Molecular Psychiatry Laboratory, Division of Psychiatry, University College London, London, UK
| | - M Al Eissa
- UCL Molecular Psychiatry Laboratory, Division of Psychiatry, University College London, London, UK
| | - N J Bass
- UCL Molecular Psychiatry Laboratory, Division of Psychiatry, University College London, London, UK
| | - A McQuillin
- UCL Molecular Psychiatry Laboratory, Division of Psychiatry, University College London, London, UK.
| | - S I Sharp
- UCL Molecular Psychiatry Laboratory, Division of Psychiatry, University College London, London, UK
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Mitochondrial DNA copy number is associated with psychosis severity and anti-psychotic treatment. Sci Rep 2018; 8:12743. [PMID: 30143692 PMCID: PMC6109159 DOI: 10.1038/s41598-018-31122-0] [Citation(s) in RCA: 28] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2018] [Accepted: 08/08/2018] [Indexed: 02/06/2023] Open
Abstract
Mitochondrial pathology has been implicated in the pathogenesis of psychotic disorders. A few studies have proposed reduced leukocyte mitochondrial DNA (mtDNA) copy number in schizophrenia and bipolar disorder type I, compared to healthy controls. However, it is unknown if mtDNA copy number alteration is driven by psychosis, comorbidity or treatment. Whole blood mtDNA copy number was determined in 594 psychosis patients and corrected for platelet to leukocyte count ratio (mtDNAcnres). The dependence of mtDNAcnres on clinical profile, metabolic comorbidity and antipsychotic drug exposure was assessed. mtDNAcnres was reduced with age (β = −0.210, p < 0.001), use of clozapine (β = −0.110,p = 0.012) and risperidone (β = −0.109,p = 0.014), dependent on prescribed dosage (p = 0.006 and p = 0.026, respectively), and the proportion of life on treatment (p = 0.006). Clozapine (p = 0.0005) and risperidone (p = 0.0126) had a reducing effect on the mtDNA copy number also in stem cell-derived human neurons in vitro at therapeutic plasma levels. For patients not on these drugs, psychosis severity had an effect (β = −0.129, p = 0.017), similar to age (β = −0.159, p = 0.003) and LDL (β = −0.119, p = 0.029) on whole blood mtDNAcnres. Further research is required to determine if mtDNAcnres reflects any psychosis-intrinsic mitochondrial changes.
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Identification of rare nonsynonymous variants in SYNE1/CPG2 in bipolar affective disorder. Psychiatr Genet 2018; 27:81-88. [PMID: 28178086 DOI: 10.1097/ypg.0000000000000166] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
Abstract
BACKGROUND Bipolar affective disorder (BPD) is a severe mood disorder with a prevalence of ∼1.5% in the population. The pathogenesis of BPD is poorly understood; however, a strong heritable component has been identified. Previous genome-wide association studies have indicated a region on 6q25, coding for the SYNE1 gene, which increases disease susceptibility. SYNE1 encodes the synaptic nuclear envelope protein-1, nesprin-1. A brain-specific splice variant of SYNE1, CPG2 encoding candidate plasticity gene 2, has been identified. The intronic single-nucleotide polymorphism with the strongest genome-wide significant association in BPD, rs9371601, is present in both SYNE1 and CPG2. METHODS We screened 937 BPD samples for genetic variation in SYNE1 exons 14-33, which covers the CPG2 region, using high-resolution melt analysis. In addition, we screened two regions of increased transcriptional activity, one of them proposed to be the CPG2 promoter region. RESULTS AND CONCLUSION We identified six nonsynonymous and six synonymous variants. We genotyped three rare nonsynonymous variants, rs374866393, rs148346599 and rs200629713, in a total of 1099 BPD samples and 1056 controls. Burden analysis of these rare variants did not show a significant association with BPD. However, nine patients are compound heterozygotes for variants in SYNE1/CPG2, suggesting that rare coding variants may contribute significantly towards the complex genetic architecture underlying BPD. Imputation analysis in our own whole-genome sequencing sample of 99 BPD individuals identified an additional eight risk variants in the CPG2 region of SYNE1.
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