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Del Re EC, Keshavan MS. Childhood trauma and psychosis-Searching for causes and mechanisms. Schizophr Res 2023; 262:146-148. [PMID: 37979417 DOI: 10.1016/j.schres.2023.11.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/26/2023] [Revised: 11/05/2023] [Accepted: 11/07/2023] [Indexed: 11/20/2023]
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2
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Hegde S, Keshavan MS. The brain on the beat: How music may heal schizophrenia. Schizophr Res 2023; 261:113-115. [PMID: 37717508 PMCID: PMC7615983 DOI: 10.1016/j.schres.2023.08.032] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/26/2023] [Revised: 08/16/2023] [Accepted: 08/31/2023] [Indexed: 09/19/2023]
Affiliation(s)
- Shantala Hegde
- Clinical Neuropsychology & Cognitive Neuroscience Centre, Music Cognition Laboratory, Department of Clinical Psychology, National Institute of Mental Health and Neuro Sciences, Benglauru, India; Department of Psychiatry, BIDMC, Harvard Medical School, Boston, MA, United States of America.
| | - Matcheri S Keshavan
- Department of Psychiatry, BIDMC, Harvard Medical School, Boston, MA, United States of America.
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3
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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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Kotsiri I, Resta P, Spyrantis A, Panotopoulos C, Chaniotis D, Beloukas A, Magiorkinis E. Viral Infections and Schizophrenia: A Comprehensive Review. Viruses 2023; 15:1345. [PMID: 37376644 DOI: 10.3390/v15061345] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/06/2023] [Revised: 06/02/2023] [Accepted: 06/08/2023] [Indexed: 06/29/2023] Open
Abstract
Schizophrenia is a complex mental disorder with multiple genetic and environmental factors contributing to its pathogenesis. Viral infections have been suggested to be one of the environmental factors associated with the development of this disorder. We comprehensively review all relevant published literature focusing on the relationship between schizophrenia and various viral infections, such as influenza virus, herpes virus 1 and 2 (HSV-1 and HSV-2), cytomegalovirus (CMV), Epstein-Barr virus (EBV), retrovirus, coronavirus, and Borna virus. These viruses may interfere with the normal maturation of the brain directly or through immune-induced mediators, such as cytokines, leading to the onset of schizophrenia. Changes in the expression of critical genes and elevated levels of inflammatory cytokines have been linked to virally-induced infections and relevant immune activities in schizophrenia. Future research is necessary to understand this relationship better and provide insight into the molecular mechanisms underlying the pathophysiology of schizophrenia.
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Affiliation(s)
- Ioanna Kotsiri
- Department of Internal Medicine, Asklipeion General Hospital, Voulas, 16673 Athens, Greece
| | - Panagiota Resta
- Department of Biomedical Sciences, University of West Attica, 12243 Athens, Greece
- National AIDS Reference Centre of Southern Greece, Department of Public Health Policy, University of West Attica, 11521 Athens, Greece
| | - Alexandros Spyrantis
- Department of Internal Medicine, Asklipeion General Hospital, Voulas, 16673 Athens, Greece
| | | | - Dimitrios Chaniotis
- Department of Biomedical Sciences, University of West Attica, 12243 Athens, Greece
| | - Apostolos Beloukas
- Department of Biomedical Sciences, University of West Attica, 12243 Athens, Greece
- National AIDS Reference Centre of Southern Greece, Department of Public Health Policy, University of West Attica, 11521 Athens, Greece
| | - Emmanouil Magiorkinis
- Department of Laboratory Medicine, Sotiria General Hospital for Chest Diseases, 11527 Athens, Greece
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5
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Del Re EC, Yassin W, Zeng V, Keedy S, Alliey-Rodriguez N, Ivleva E, Hill S, Rychagov N, McDowell JE, Bishop JR, Mesholam-Gately R, Merola G, Lizano P, Gershon E, Pearlson G, Sweeney JA, Clementz B, Tamminga C, Keshavan M. Characterization of childhood trauma, hippocampal mediation and Cannabis use in a large dataset of psychosis and non-psychosis individuals. Schizophr Res 2023; 255:102-109. [PMID: 36989667 DOI: 10.1016/j.schres.2023.03.029] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/04/2022] [Revised: 03/12/2023] [Accepted: 03/13/2023] [Indexed: 03/31/2023]
Abstract
BACKGROUND Cannabis use (CA) and childhood trauma (CT) independently increase the risk of earlier psychosis onset; but their interaction in relation to psychosis risk and association with endocannabinoid-receptor rich brain regions, i.e. the hippocampus (HP), remains unclear. The objective was to determine whether lower age of psychosis onset (AgePsyOnset) is associated with CA and CT through mediation by the HP volumes, and genetic risk, as measured by schizophrenia polygene scores (SZ-PGRS). METHODS Cross-sectional, case-control, multicenter sample from 5 metropolitan US regions. Participants (n = 1185) included 397 controls not affected by psychosis (HC); 209 participants with bipolar disorder type-1; 279 with schizoaffective disorder; and 300 with schizophrenia (DSM IV-TR). CT was assessed using the Childhood Trauma Questionnaire (CTQ); CA was assessed by self-reports and trained clinical interviewers. Assessment included neuroimaging, symptomatology, cognition and calculation of the SZ polygenic risk score (SZ-PGRS). RESULTS In survival analysis, CT and CA exposure interact to be associated with lower AgePsyOnset. At high CT or CA, CT or CA are individually sufficient to affect AgePsyOnset. CT relation with AgePsyOnset is mediated in part by the HP in CA users before AgePsyOnset. CA before AgePsyOnset is associated with higher SZ-PGRS and correlated with younger age at CA usage. DISCUSSION CA and CT interact to increase risk when moderate; while severe CT and/or CA abuse/dependence are each sufficient to affect AgePsyOnset, indicating a ceiling effect. Probands with/out CA before AgePsyOnset differ on biological variables, suggesting divergent pathways to psychosis. FUNDING MH077945; MH096942; MH096913; MH077862; MH103368; MH096900; MH122759.
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6
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Zovetti N, Rossetti MG, Perlini C, Brambilla P, Bellani M. Brain ageing and neurodegeneration in bipolar disorder. J Affect Disord 2023; 323:171-175. [PMID: 36435402 DOI: 10.1016/j.jad.2022.11.066] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/08/2022] [Revised: 11/11/2022] [Accepted: 11/20/2022] [Indexed: 11/27/2022]
Abstract
BACKGROUND Bipolar disorder (BD) is a psychiatric condition characterized by alternating episodes of mania and depression frequently associated with cognitive impairments. BD is associated with brain alterations in fronto-temporal and limbic networks. Recent conceptualizations view BD as a neurodegenerative disorder characterized by progressive deterioration of grey and white matter (GM, WM) volumes and accelerated brain ageing. Therefore, we conducted a review gathering neuroimaging evidence about neurodegenerative processes in BD. METHODS A literature search was conducted on the PubMed, Scopus and Web of Science databases in September 2021. After title and abstract screening of the retrieved records, 19 studies that met our inclusion criteria were included in the review. RESULTS The available evidence suggests the presence of a progressive reduction of GM volumes at the whole-brain level and in the amygdala, prefrontal regions and the anterior cingulate cortex. Conversely, WM lesions and alterations seem to emerge only in the early phases of the condition masking the effects of normal ageing. Lastly, machine learning models indicate that the gap between predicted and chronological brain age differs considerably between healthy controls and BD patients, as the latter are characterized by larger gaps. LIMITATIONS The included studies had cross-sectional study design, small sample sizes and heterogeneous methodology, and lack of control for pharmacological treatment. CONCLUSIONS BD seems to be associated with generalized age-related structural GM volumes reductions and functional brain alterations thus suggesting the presence of neurodegenerative processes. Future systematic reviews and meta-analyses should be conducted to quantify the magnitude of brain ageing-related effects in BD.
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Affiliation(s)
- Niccolò Zovetti
- Department of Neurosciences, Biomedicine and Movement Sciences, Section of Psychiatry, University of Verona, Verona, Italy
| | - Maria Gloria Rossetti
- Department of Neurosciences and Mental Health, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy
| | - Cinzia Perlini
- Department of Neurosciences, Biomedicine and Movement Sciences, Section of Clinical Psychology, University of Verona, Verona, Italy
| | - Paolo Brambilla
- Department of Neurosciences and Mental Health, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy; Department of Pathophysiology and Transplantation, University of Milan, Milan, Italy.
| | - Marcella Bellani
- Department of Neurosciences, Biomedicine and Movement Sciences, Section of Psychiatry, University of Verona, Verona, Italy
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7
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Fišar Z. Biological hypotheses, risk factors, and biomarkers of schizophrenia. Prog Neuropsychopharmacol Biol Psychiatry 2023; 120:110626. [PMID: 36055561 DOI: 10.1016/j.pnpbp.2022.110626] [Citation(s) in RCA: 23] [Impact Index Per Article: 23.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/29/2022] [Revised: 08/24/2022] [Accepted: 08/25/2022] [Indexed: 12/19/2022]
Abstract
Both the discovery of biomarkers of schizophrenia and the verification of biological hypotheses of schizophrenia are an essential part of the process of understanding the etiology of this mental disorder. Schizophrenia has long been considered a neurodevelopmental disease whose symptoms are caused by impaired synaptic signal transduction and brain neuroplasticity. Both the onset and chronic course of schizophrenia are associated with risk factors-induced disruption of brain function and the establishment of a new homeostatic setpoint characterized by biomarkers. Different risk factors and biomarkers can converge to the same symptoms of schizophrenia, suggesting that the primary cause of the disease can be highly individual. Schizophrenia-related biomarkers include measurable biochemical changes induced by stress (elevated allostatic load), mitochondrial dysfunction, neuroinflammation, oxidative and nitrosative stress, and circadian rhythm disturbances. Here is a summary of selected valid biological hypotheses of schizophrenia formulated based on risk factors and biomarkers, neurodevelopment, neuroplasticity, brain chemistry, and antipsychotic medication. The integrative neurodevelopmental-vulnerability-neurochemical model is based on current knowledge of the neurobiology of the onset and progression of the disease and the effects of antipsychotics and psychotomimetics and reflects the complex and multifactorial nature of schizophrenia.
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Affiliation(s)
- Zdeněk Fišar
- Charles University and General University Hospital in Prague, First Faculty of Medicine, Department of Psychiatry, Czech Republic.
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8
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Orlova VA, Mikhailova II, Zinserling VA. Infections and schizophrenia. JOURNAL INFECTOLOGY 2022. [DOI: 10.22625/2072-6732-2022-14-3-105-111] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
This paper provides a critical review of the literature, demonstrating a certain pathogenetic role of various infections, primarily viruses from the herpes and chlamydia groups, in the development and progression of schizophrenia, including published results of the authors’ own long-term studies.
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Affiliation(s)
- V. A. Orlova
- Research Institute of Vaccines and Serums named after I.I. Mechnikov
| | - I. I. Mikhailova
- Research Institute of Vaccines and Serums named after I.I. Mechnikov
| | - V. A. Zinserling
- National Medical Research Centre named after V.A. Almazov; Clinical Infectious Hospital named after S.P. Botkin
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9
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Avery SN, Huang AS, Sheffield JM, Rogers BP, Vandekar S, Anticevic A, Woodward ND. Development of Thalamocortical Structural Connectivity in Typically Developing and Psychosis Spectrum Youths. BIOLOGICAL PSYCHIATRY. COGNITIVE NEUROSCIENCE AND NEUROIMAGING 2022; 7:782-792. [PMID: 34655804 PMCID: PMC9008075 DOI: 10.1016/j.bpsc.2021.09.009] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/14/2021] [Revised: 09/30/2021] [Accepted: 09/30/2021] [Indexed: 12/13/2022]
Abstract
BACKGROUND Thalamocortical white matter connectivity is disrupted in psychosis and is hypothesized to play a role in its etiology and associated cognitive impairment. Attenuated cognitive symptoms often begin in adolescence, during a critical phase of white matter and cognitive development. However, little is known about the development of thalamocortical white matter connectivity and its association with cognition. METHODS This study characterized effects of age, sex, psychosis symptomatology, and cognition in thalamocortical networks in a large sample of youths (N = 1144, ages 8-22 years, 46% male) from the Philadelphia Neurodevelopmental Cohort, which included 316 typically developing youths, 330 youths on the psychosis spectrum, and 498 youths with other psychopathology. Probabilistic tractography was used to quantify percent total connectivity between the thalamus and six cortical regions and assess microstructural properties (i.e., fractional anisotropy) of thalamocortical white matter tracts. RESULTS Overall, percent total connectivity of the thalamus was weakly associated with age and was not associated with psychopathology or cognition. In contrast, fractional anisotropy of all thalamocortical tracts increased significantly with age, was generally higher in males than females, and was lowest in youths on the psychosis spectrum. Fractional anisotropy of tracts linking the thalamus to prefrontal and posterior parietal cortices was related to better cognitive function across subjects. CONCLUSIONS By characterizing the pattern of typical development and alterations in those at risk for psychotic disorders, this study provides a foundation for further conceptualization of thalamocortical white matter microstructure as a marker of neurodevelopment supporting cognition and an important risk marker for psychosis.
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Affiliation(s)
- Suzanne N Avery
- Department of Psychiatry and Behavioral Sciences, Vanderbilt University Medical Center, Nashville, Tennessee.
| | - Anna S Huang
- Department of Psychiatry and Behavioral Sciences, Vanderbilt University Medical Center, Nashville, Tennessee
| | - Julia M Sheffield
- Department of Psychiatry and Behavioral Sciences, Vanderbilt University Medical Center, Nashville, Tennessee
| | - Baxter P Rogers
- Vanderbilt University Institute of Imaging Sciences, Nashville, Tennessee
| | - Simon Vandekar
- Department of Biostatistics, Vanderbilt University Medical Center, Nashville, Tennessee
| | - Alan Anticevic
- Department of Psychiatry, Yale University School of Medicine, New Haven, Connecticut
| | - Neil D Woodward
- Department of Psychiatry and Behavioral Sciences, Vanderbilt University Medical Center, Nashville, Tennessee
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10
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Schonfeld L, Jaehne EJ, Ogden AR, Spiers JG, Hogarth S, van den Buuse M. Differential effects of chronic adolescent glucocorticoid or methamphetamine on drug-induced locomotor hyperactivity and disruption of prepulse inhibition in adulthood in mice. Prog Neuropsychopharmacol Biol Psychiatry 2022; 117:110552. [PMID: 35337859 DOI: 10.1016/j.pnpbp.2022.110552] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/08/2021] [Revised: 03/17/2022] [Accepted: 03/17/2022] [Indexed: 11/29/2022]
Abstract
Sensitization of dopaminergic activity has been suggested as an underlying mechanism in the psychotic symptoms of schizophrenia. Adolescent stress and chronic abuse of methamphetamine (Meth) are well-known risk factors for psychosis and schizophrenia; however it remains unknown how these factors compare in terms of dopaminergic behavioural sensitization in adulthood. In addition, while Brain-Derived Neurotrophic Factor (BDNF) has been implicated in dopaminergic activity and schizophrenia, its role in behavioural sensitization remains unclear. In this study we therefore compared the effect of chronic adolescent treatment with the stress hormone, corticosterone (Cort), or with Meth, on drug-induced locomotor hyperactivity and disruption of prepulse inhibition in adulthood in BDNF heterozygous mice and their wild-type controls, as well as on dopamine receptor gene expression. Between 6 and 9 weeks of age, the animals either received Cort in the drinking water or were treated with an escalating Meth dose protocol. In adulthood, Cort-pretreated mice showed significantly reduced Meth-induced locomotor hyperactivity compared to vehicle-pretreated mice. In contrast, Meth hyperlocomotion was significantly enhanced in animals pretreated with the drug in adolescence. There were no effects of either pretreatment on prepulse inhibition. BDNF Het mice showed greater Meth-induced hyperlocomotion and lower prepulse inhibition than WT mice. There were no effects of either pretreatment on D1 or D2 gene expression in either the dorsal or ventral striatum, while D3 mRNA was shown to be reduced in male mice only irrespective of genotype. These results suggest that in adolescence, chronically elevated glucocorticoid levels, a component of chronic stress, do not cause dopaminergic sensitization adulthood, in contrast to the effect of chronic Meth treatment in the same age period. BDNF does not appear to be involved in the effects of chronic Cort or chronic Meth.
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Affiliation(s)
- Lina Schonfeld
- Department of Psychology and Counselling, School of Psychology and Public Health, La Trobe University, Melbourne, Australia
| | - Emily J Jaehne
- Department of Psychology and Counselling, School of Psychology and Public Health, La Trobe University, Melbourne, Australia
| | - Alexandra R Ogden
- Department of Psychology and Counselling, School of Psychology and Public Health, La Trobe University, Melbourne, Australia
| | - Jereme G Spiers
- Department of Biochemistry and Genetics, La Trobe Institute for Molecular Science, La Trobe University, Melbourne, Australia
| | - Samuel Hogarth
- Department of Psychology and Counselling, School of Psychology and Public Health, La Trobe University, Melbourne, Australia
| | - Maarten van den Buuse
- Department of Psychology and Counselling, School of Psychology and Public Health, La Trobe University, Melbourne, Australia; Department of Pharmacology, University of Melbourne, Australia; College of Public Health, Medical and Veterinary Sciences, James Cook University, Townsville, Australia.
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11
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Massrali A, Adhya D, Srivastava DP, Baron-Cohen S, Kotter MR. Virus-Induced Maternal Immune Activation as an Environmental Factor in the Etiology of Autism and Schizophrenia. Front Neurosci 2022; 16:834058. [PMID: 35495047 PMCID: PMC9039720 DOI: 10.3389/fnins.2022.834058] [Citation(s) in RCA: 25] [Impact Index Per Article: 12.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/12/2021] [Accepted: 03/01/2022] [Indexed: 12/22/2022] Open
Abstract
Maternal immune activation (MIA) is mediated by activation of inflammatory pathways resulting in increased levels of cytokines and chemokines that cross the placental and blood-brain barriers altering fetal neural development. Maternal viral infection is one of the most well-known causes for immune activation in pregnant women. MIA and immune abnormalities are key players in the etiology of developmental conditions such as autism, schizophrenia, ADHD, and depression. Experimental evidence implicating MIA in with different effects in the offspring is complex. For decades, scientists have relied on either MIA models or human epidemiological data or a combination of both. MIA models are generated using infection/pathogenic agents to induce an immunological reaction in rodents and monitor the effects. Human epidemiological studies investigate a link between maternal infection and/or high levels of cytokines in pregnant mothers and the likelihood of developing conditions. In this review, we discuss the importance of understanding the relationship between virus-mediated MIA and neurodevelopmental conditions, focusing on autism and schizophrenia. We further discuss the different methods of studying MIA and their limitations and focus on the different factors contributing to MIA heterogeneity.
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Affiliation(s)
- Aïcha Massrali
- Department of Clinical Neurosciences, University of Cambridge, Cambridge, United Kingdom
- Autism Research Centre, Department of Psychiatry, University of Cambridge, Cambridge, United Kingdom
| | - Dwaipayan Adhya
- Autism Research Centre, Department of Psychiatry, University of Cambridge, Cambridge, United Kingdom
| | - Deepak P. Srivastava
- Department of Basic and Clinical Neuroscience, King’s College London, London, United Kingdom
| | - Simon Baron-Cohen
- Department of Clinical Neurosciences, University of Cambridge, Cambridge, United Kingdom
- Autism Research Centre, Department of Psychiatry, University of Cambridge, Cambridge, United Kingdom
| | - Mark R. Kotter
- Department of Clinical Neurosciences, University of Cambridge, Cambridge, United Kingdom
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12
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Maternal Inflammation Exaggerates Offspring Susceptibility to Cerebral Ischemia–Reperfusion Injury via the COX-2/PGD2/DP2 Pathway Activation. OXIDATIVE MEDICINE AND CELLULAR LONGEVITY 2022; 2022:1571705. [PMID: 35437456 PMCID: PMC9013311 DOI: 10.1155/2022/1571705] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/19/2021] [Revised: 03/15/2022] [Accepted: 03/23/2022] [Indexed: 12/04/2022]
Abstract
The pathogenesis of cerebral ischemia–reperfusion (I/R) injury is complex and does not exhibit an effective strategy. Maternal inflammation represents one of the most important factors involved in the etiology of brain injury in newborns. We aimed to investigate the effect of maternal inflammation on offspring susceptibility to cerebral I/R injury and the mechanisms by which it exerts its effects. Pregnant SD rats were intraperitoneally injected with LPS (300 μg/kg/day) at gestational days 11, 14, and 18. Pups were subjected to MCAO/R on postnatal day 60. Primary neurons were obtained from postnatal day 0 SD rats and subjected to OGD/R. Neurological deficits, brain injury, neuronal viability, neuronal damage, and neuronal apoptosis were assessed. Oxidative stress and inflammation were evaluated, and the expression levels of COX-2/PGD2/DP pathway-related proteins and apoptotic proteins were detected. Maternal LPS exposure significantly increased the levels of oxidative stress and inflammation, significantly activated the COX-2/PGD2/DP2 pathway, and increased proapoptotic protein expression. However, maternal LPS exposure significantly decreased the antiapoptotic protein expression, which subsequently increased neurological deficits and cerebral I/R injury in offspring rats. The corresponding results were observed in primary neurons. Moreover, these effects of maternal LPS exposure were reversed by a COX-2 inhibitor and DP1 agonist but exacerbated by a DP2 agonist. In conclusion, maternal inflammatory exposure may increase offspring susceptibility to cerebral I/R injury. Moreover, the underlying mechanism might be related to the activation of the COX-2/PGD2/DP2 pathway. These findings provide a theoretical foundation for the development of therapeutic drugs for cerebral I/R injury.
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13
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Gooding DC. Brave New World: Harnessing the promise of biomarkers to help solve the epigenetic puzzle. Schizophr Res 2022; 242:35-41. [PMID: 35101327 DOI: 10.1016/j.schres.2022.01.020] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/29/2021] [Revised: 01/11/2022] [Accepted: 01/12/2022] [Indexed: 11/30/2022]
Affiliation(s)
- Diane C Gooding
- Department of Psychology, University of Wisconsin-Madison, USA; Department of Psychiatry, University of Wisconsin-Madison, USA.
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14
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Travis-Lumer Y, Kodesh A, Goldberg Y, Reichenberg A, Frangou S, Levine SZ. Biopsychosocial Exposure to the Covid-19 Pandemic and the Relative Risk of Schizophrenia: Interrupted Time-Series Analysis of a Nationally Representative Sample. Eur Psychiatry 2022; 65:e7. [PMID: 35067255 PMCID: PMC8853851 DOI: 10.1192/j.eurpsy.2021.2245] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/23/2022] Open
Abstract
Background Studies of COVID-19 pandemic biopsychosocial exposure and schizophrenia risk showed contradictory results, were undertaken early in the pandemic, and did not consider lockdowns or COVID-19 infection. Hence, we examined the association between COVID-19 biopsychosocial exposure and incident schizophrenia. Methods An interrupted time-series study design was implemented based on Israeli electronic health records from 2013 to 2021 with national coverage. The period coinciding with the COVID-19 pandemic biopsychosocial exposures from March 2020 to February 2021 was classified as exposed, otherwise unexposed. The effect of the COVID-19 pandemic on incident schizophrenia was quantified by fitting a Poisson regression and modeling the relative risk (RR) and corresponding 95% confidence intervals (CI). Three scenarios were projected from the third lockdown to 10 months to forecast incident schizophrenia rates and their associated 95% prediction intervals (PI). Results The total population (N = 736,356) yielded 4,310 cases of incident schizophrenia over time. The primary analysis showed that the period exposed to the COVID-19 pandemic was associated with a reduced RR (RR = 0.81, 95% CI = 0.73, 0.91, p < 0.001). This conclusion was supported in 12 sensitivity analyses, including scrutinizing lockdowns and COVID-19 infection status. Two of three forecast scenarios projected an incident increase (6.74, 95% PI = 5.80, 7.84; 7.40, 95% PI = 6.36, 8.60). Conclusions The reduced risk of schizophrenia during the pandemic suggests no immediate triggering of new onsets either by the virus or the pandemic-induced psychosocial adversities. Once restrictions are lifted, the increased projected presentations have implications for clinicians and healthcare policy.
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Priol AC, Denis L, Boulanger G, Thépaut M, Geoffray MM, Tordjman S. Detection of Morphological Abnormalities in Schizophrenia: An Important Step to Identify Associated Genetic Disorders or Etiologic Subtypes. Int J Mol Sci 2021; 22:ijms22179464. [PMID: 34502372 PMCID: PMC8430486 DOI: 10.3390/ijms22179464] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2021] [Accepted: 08/06/2021] [Indexed: 12/20/2022] Open
Abstract
Current research suggests that alterations in neurodevelopmental processes, involving gene X environment interactions during key stages of brain development (prenatal period and adolescence), are a major risk for schizophrenia. First, epidemiological studies supporting a genetic contribution to schizophrenia are presented in this article, including family, twin, and adoption studies. Then, an extensive literature review on genetic disorders associated with schizophrenia is reviewed. These epidemiological findings and clinical observations led researchers to conduct studies on genetic associations in schizophrenia, and more specifically on genomics (CNV: copy-number variant, and SNP: single nucleotide polymorphism). The main structural (CNV) and sequence (SNP) variants found in individuals with schizophrenia are reported here. Evidence of genetic contributions to schizophrenia and current knowledge on genetic syndromes associated with this psychiatric disorder highlight the importance of a clinical genetic examination to detect minor physical anomalies in individuals with ultra-high risk of schizophrenia. Several dysmorphic features have been described in schizophrenia, especially in early onset schizophrenia, and can be viewed as neurodevelopmental markers of vulnerability. Early detection of individuals with neurodevelopmental abnormalities is a fundamental issue to develop prevention and diagnostic strategies, therapeutic intervention and follow-up, and to ascertain better the underlying mechanisms involved in the pathophysiology of schizophrenia.
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Affiliation(s)
- Anne-Clémence Priol
- Pôle Hospitalo-Universitaire de Psychiatrie de l’Enfant et de l’Adolescent (PHUPEA), Centre Hospitalier Guillaume Régnier, University of Rennes 1, 35000 Rennes, France; (L.D.); (G.B.); (M.T.)
- Correspondence: (A.-C.P.); (S.T.); Tel.: +33-2-99-51-06-04 (A.-C.P. & S.T.); Fax: +33-2-99-32-46-98 (A.-C.P. & S.T.)
| | - Laure Denis
- Pôle Hospitalo-Universitaire de Psychiatrie de l’Enfant et de l’Adolescent (PHUPEA), Centre Hospitalier Guillaume Régnier, University of Rennes 1, 35000 Rennes, France; (L.D.); (G.B.); (M.T.)
| | - Gaella Boulanger
- Pôle Hospitalo-Universitaire de Psychiatrie de l’Enfant et de l’Adolescent (PHUPEA), Centre Hospitalier Guillaume Régnier, University of Rennes 1, 35000 Rennes, France; (L.D.); (G.B.); (M.T.)
| | - Mathieu Thépaut
- Pôle Hospitalo-Universitaire de Psychiatrie de l’Enfant et de l’Adolescent (PHUPEA), Centre Hospitalier Guillaume Régnier, University of Rennes 1, 35000 Rennes, France; (L.D.); (G.B.); (M.T.)
| | - Marie-Maude Geoffray
- Department of Child and Adolescent Psychiatry, Centre Hospitalier Le Vinatier, 69500 Bron, France;
| | - Sylvie Tordjman
- Pôle Hospitalo-Universitaire de Psychiatrie de l’Enfant et de l’Adolescent (PHUPEA), Centre Hospitalier Guillaume Régnier, University of Rennes 1, 35000 Rennes, France; (L.D.); (G.B.); (M.T.)
- CIC (Clinical Investigation Center) 1414 Inserm, Centre Hospitalier Universitaire (CHU) de Rennes, University of Rennes 1, 35033 Rennes, France
- Integrative Neuroscience and Cognition Center (INCC), CNRS UMR 8002, University of Paris, 75006 Paris, France
- Correspondence: (A.-C.P.); (S.T.); Tel.: +33-2-99-51-06-04 (A.-C.P. & S.T.); Fax: +33-2-99-32-46-98 (A.-C.P. & S.T.)
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16
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Ľupták M, Michaličková D, Fišar Z, Kitzlerová E, Hroudová J. Novel approaches in schizophrenia-from risk factors and hypotheses to novel drug targets. World J Psychiatry 2021; 11:277-296. [PMID: 34327122 PMCID: PMC8311514 DOI: 10.5498/wjp.v11.i7.277] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/27/2021] [Revised: 04/06/2021] [Accepted: 06/18/2021] [Indexed: 02/06/2023] Open
Abstract
Schizophrenia is a severe psychiatric disorder characterized by emotional, behavioral and cognitive disturbances, and the treatment of schizophrenia is often complicated by noncompliance and pharmacoresistance. The search for the pathophysiological mechanisms underlying schizophrenia has resulted in the proposal of several hypotheses to explain the impacts of environmental, genetic, neurodevelopmental, immune and inflammatory factors on disease onset and progression. This review discusses the newest insights into the pathophysiology of and risk factors for schizophrenia and notes novel approaches in antipsychotic treatment and potential diagnostic and theranostic biomarkers. The current hypotheses focusing on neuromediators (dopamine, glutamate, and serotonin), neuroinflammation, the cannabinoid hypothesis, the gut-brain axis model, and oxidative stress are summarized. Key genetic features, including small nucleotide polymorphisms, copy number variations, microdeletions, mutations and epigenetic changes, are highlighted. Current pharmacotherapy of schizophrenia relies mostly on dopaminergic and serotonergic antagonists/partial agonists, but new findings in the pathophysiology of schizophrenia have allowed the expansion of novel approaches in pharmacotherapy and the establishment of more reliable biomarkers. Substances with promising results in preclinical and clinical studies include lumateperone, pimavanserin, xanomeline, roluperidone, agonists of trace amine-associated receptor 1, inhibitors of glycine transporters, AMPA allosteric modulators, mGLUR2-3 agonists, D-amino acid oxidase inhibitors and cannabidiol. The use of anti-inflammatory agents as an add-on therapy is mentioned.
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Affiliation(s)
- Matej Ľupták
- Institute of Pharmacology, First Faculty of Medicine, Charles University and General University Hospital in Prague, Prague 12800, Czech Republic
| | - Danica Michaličková
- Institute of Pharmacology, First Faculty of Medicine, Charles University and General University Hospital in Prague, Prague 12800, Czech Republic
| | - Zdeněk Fišar
- Department of Psychiatry, First Faculty of Medicine, Charles University and General University Hospital in Prague, Prague 12000, Czech Republic
| | - Eva Kitzlerová
- Department of Psychiatry, First Faculty of Medicine, Charles University and General University Hospital in Prague, Prague 12000, Czech Republic
| | - Jana Hroudová
- Institute of Pharmacology, First Faculty of Medicine, Charles University and General University Hospital in Prague, Prague 12800, Czech Republic
- Department of Psychiatry, First Faculty of Medicine, Charles University and General University Hospital in Prague, Prague 12000, Czech Republic
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17
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Perkins ER, Joyner KJ, Patrick CJ, Bartholow BD, Latzman RD, DeYoung CG, Kotov R, Reininghaus U, Cooper SE, Afzali MH, Docherty AR, Dretsch MN, Eaton NR, Goghari VM, Haltigan JD, Krueger RF, Martin EA, Michelini G, Ruocco AC, Tackett JL, Venables NC, Waldman ID, Zald DH. Neurobiology and the Hierarchical Taxonomy of Psychopathology: progress toward ontogenetically informed and clinically useful nosology
. DIALOGUES IN CLINICAL NEUROSCIENCE 2021; 22:51-63. [PMID: 32699505 PMCID: PMC7365294 DOI: 10.31887/dcns.2020.22.1/eperkins] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
Abstract
The Hierarchical Taxonomy of Psychopathology (HiTOP) is an empirical structural
model of psychological symptoms formulated to improve the reliability and
validity of clinical assessment. Neurobiology can inform assessments of early
risk and intervention strategies, and the HiTOP model has greater potential to
interface with neurobiological measures than traditional categorical diagnoses
given its enhanced reliability. However, one complication is that observed
biological correlates of clinical symptoms can reflect various factors, ranging
from dispositional risk to consequences of psychopathology. In this paper, we
argue that the HiTOP model provides an optimized framework for conducting
research on the biological correlates of psychopathology from an ontogenetic
perspective that distinguishes among indicators of liability, current symptoms,
and consequences of illness. Through this approach, neurobiological research can
contribute more effectively to identifying individuals at high dispositional
risk, indexing treatment-related gains, and monitoring the consequences of
mental illness, consistent with the aims of the HiTOP framework.
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Affiliation(s)
- Emily R Perkins
- Department of Psychology, Florida State University, Tallahassee, Florida, US. Authors contributed equally to manuscript
| | - Keanan J Joyner
- Department of Psychology, Florida State University, Tallahassee, Florida, US. Authors contributed equally to manuscript
| | | | - Bruce D Bartholow
- Department of Psychological Sciences, University of Missouri, Columbia, Missouri, US
| | - Robert D Latzman
- Department of Psychology, Georgia State University, Atlanta, Georgia, US
| | - Colin G DeYoung
- Department of Psychology, University of Minnesota, Minneapolis, Minnesota, US
| | - Roman Kotov
- Department of Psychiatry, Stony Brook University, Stony Brook, New York, US
| | - Ulrich Reininghaus
- Department of Public Mental Health, Central Institute of Mental Health, Medical Faculty Mannheim, University of Heidelberg, Germany
| | - Samuel E Cooper
- Department of Psychiatry, University of Texas at Austin, Texas, US
| | | | - Anna R Docherty
- DDepartment of Psychiatry, University of Utah School of Medicine, Salt Lake City, Utah, US
| | - Michael N Dretsch
- US Army Medical Research Directorate - West, Walter Reed Army Institute for Research, Joint Base Lewis-McCord, Washington, US
| | - Nicholas R Eaton
- Department of Psychology, Stony Brook University, Stony Brook, New York, US
| | - Vina M Goghari
- Department of Psychology and Graduate Department of Psychological Clinical Science, University of Toronto, Ontario, Canada
| | - John D Haltigan
- DDepartment of Psychiatry, University of Toronto, and Centre for Addiction and Mental Health, Toronto, Ontario, Canada
| | - Robert F Krueger
- DDepartment of Psychology, University of Minnesota, Minneapolis, Minnesota, US
| | - Elizabeth A Martin
- DDepartment of Psychological Science, University of California, Irvine, California, US
| | - Giorgia Michelini
- Department of Psychiatry, Stony Brook University, Stony Brook, New York, US
| | - Anthony C Ruocco
- Department of Psychology and Graduate Department of Psychological Clinical Science, University of Toronto, Ontario, Canada
| | - Jennifer L Tackett
- Department of Psychology, Northwestern University, Evanston, Illinois, US
| | - Noah C Venables
- DMinneapolis Veterans Affairs Health Care System, Minneapolis, Minnesota, US
| | - Irwin D Waldman
- Department of Psychology, Emory University, Atlanta, Georgia, US
| | - David H Zald
- Department of Psychology, Vanderbilt University, Nashville, Tennessee, US
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18
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Korann V, Appaji A, Jacob A, Devi P, Nagendra B, Chako DM, Padmanabha A, Thonse U, Bharath RD, Kumar V, Varambally S, Venkatasubramanian G, Rao SV, Webers CAB, Berendschot TTJM, Rao NP. Association between retinal vascular caliber and brain structure in schizophrenia. Asian J Psychiatr 2021; 61:102707. [PMID: 34052670 DOI: 10.1016/j.ajp.2021.102707] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/24/2020] [Revised: 05/11/2021] [Accepted: 05/21/2021] [Indexed: 02/07/2023]
Abstract
OBJECTIVE Several lines of research in the last decade have indicated the potential utility of retina as a window to the brain. Emerging evidence suggests abnormalities in retinal vascular caliber in schizophrenia. However, the relationship between retinal vascular measures and brain structure has not been examined in schizophrenia to date. Hence, we examined the relationship between retinal vasculature measured using fundus photography and brain structure measured using magnetic resonance imaging. METHOD We recruited 17 healthy volunteers and 20 patients with schizophrenia. Using a non-mydriatic camera, we captured the images for left and right eyes separately and retinal vascular calibers were calculated using a semi-automated software package. Whole-brain anatomical T1 MPRAGE images were acquired using a 3-Tesla MRI scanner. Whole-brain and regional volume and cortical thickness were calculated using the Freesurfer software package. We used FreeSurfer's QDEC interface to compute vertex-by-vertex for analysis of the volume and cortical thickness. The relation between brain volume, cortical thickness, and retinal vascular caliber was examined using partial correlation and regression analysis. RESULTS There was a significant negative correlation between average CRVE and global cortical mean thickness in schizophrenia but not in healthy. In schizophrenia patients, there was a significant negative correlation between average CRVE and cortical thickness in frontal regions - left rostral middle frontal, left superior frontal, and right caudal middle frontal gyri and posterior brain regions - left lateral occipital gyrus and left posterior cingulate cortex. DISCUSSION The findings of the study suggest potential utility of retinal venular diameter as a proxy marker to abnormal neurodevelopment in schizophrenia.
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Affiliation(s)
- Vittal Korann
- National Institute of Mental Health and Neurosciences, Bangalore, India
| | - Abhishek Appaji
- Department of Medical Electronics, BMS College of Engineering, Bangalore, India
| | - Arpitha Jacob
- National Institute of Mental Health and Neurosciences, Bangalore, India
| | - Priyanka Devi
- National Institute of Mental Health and Neurosciences, Bangalore, India
| | - Bhargavi Nagendra
- National Institute of Mental Health and Neurosciences, Bangalore, India
| | - Dona Maria Chako
- National Institute of Mental Health and Neurosciences, Bangalore, India
| | - Ananth Padmanabha
- National Institute of Mental Health and Neurosciences, Bangalore, India
| | - Umesh Thonse
- National Institute of Mental Health and Neurosciences, Bangalore, India
| | - Rose Dawn Bharath
- National Institute of Mental Health and Neurosciences, Bangalore, India
| | - Vijay Kumar
- National Institute of Mental Health and Neurosciences, Bangalore, India
| | | | | | - Shyam Vasudeva Rao
- Department of Medical Electronics, BMS College of Engineering, Bangalore, India
| | - Carroll A B Webers
- University Eye Clinic Maastricht, Maastricht University, Maastricht, the Netherlands
| | - Tos T J M Berendschot
- University Eye Clinic Maastricht, Maastricht University, Maastricht, the Netherlands
| | - Naren P Rao
- National Institute of Mental Health and Neurosciences, Bangalore, India.
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19
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Parellada E, Gassó P. Glutamate and microglia activation as a driver of dendritic apoptosis: a core pathophysiological mechanism to understand schizophrenia. Transl Psychiatry 2021; 11:271. [PMID: 33958577 PMCID: PMC8102516 DOI: 10.1038/s41398-021-01385-9] [Citation(s) in RCA: 38] [Impact Index Per Article: 12.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/28/2020] [Revised: 04/09/2021] [Accepted: 04/20/2021] [Indexed: 02/03/2023] Open
Abstract
Schizophrenia disorder remains an unsolved puzzle. However, the integration of recent findings from genetics, molecular biology, neuroimaging, animal models and translational clinical research offers evidence that the synaptic overpruning hypothesis of schizophrenia needs to be reassessed. During a critical period of neurodevelopment and owing to an imbalance of excitatory glutamatergic pyramidal neurons and inhibitory GABAergic interneurons, a regionally-located glutamate storm might occur, triggering excessive dendritic pruning with the activation of local dendritic apoptosis machinery. The apoptotic loss of dendritic spines would be aggravated by microglia activation through a recently described signaling system from complement abnormalities and proteins of the MHC, thus implicating the immune system in schizophrenia. Overpruning of dendritic spines coupled with aberrant synaptic plasticity, an essential function for learning and memory, would lead to brain misconnections and synaptic inefficiency underlying the primary negative symptoms and cognitive deficits of schizophrenia. This driving hypothesis has relevant therapeutic implications, including the importance of pharmacological interventions during the prodromal phase or the transition to psychosis, targeting apoptosis, microglia cells or the glutamate storm. Future research on apoptosis and brain integrity should combine brain imaging, CSF biomarkers, animal models and cell biology.
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Affiliation(s)
- Eduard Parellada
- Barcelona Clínic Schizophrenia Unit (BCSU). Institute of Neuroscience, Hospital Clínic of Barcelona, University of Barcelona, Barcelona, Catalonia, Spain.
- The August Pi i Sunyer Biomedical Research Institute (IDIBAPS), Barcelona, Catalonia, Spain.
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Madrid, Spain.
| | - Patricia Gassó
- Barcelona Clínic Schizophrenia Unit (BCSU). Institute of Neuroscience, Hospital Clínic of Barcelona, University of Barcelona, Barcelona, Catalonia, Spain
- The August Pi i Sunyer Biomedical Research Institute (IDIBAPS), Barcelona, Catalonia, Spain
- Department of Basic Clinical Practice, Unit of Pharmacology, University of Barcelona, Barcelona, Catalonia, Spain
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20
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Liloia D, Brasso C, Cauda F, Mancuso L, Nani A, Manuello J, Costa T, Duca S, Rocca P. Updating and characterizing neuroanatomical markers in high-risk subjects, recently diagnosed and chronic patients with schizophrenia: A revised coordinate-based meta-analysis. Neurosci Biobehav Rev 2021; 123:83-103. [PMID: 33497790 DOI: 10.1016/j.neubiorev.2021.01.010] [Citation(s) in RCA: 28] [Impact Index Per Article: 9.3] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2020] [Revised: 01/07/2021] [Accepted: 01/15/2021] [Indexed: 01/10/2023]
Abstract
Characterizing neuroanatomical markers of different stages of schizophrenia (SZ) to assess pathophysiological models of how the disorder develops is an important target for the clinical practice. We performed a meta-analysis of voxel-based morphometry studies of genetic and clinical high-risk subjects (g-/c-HR), recently diagnosed (RDSZ) and chronic SZ patients (ChSZ). We quantified gray matter (GM) changes associated with these four conditions and compared them with contrast and conjunctional data. We performed the behavioral analysis and networks decomposition of alterations to obtain their functional characterization. Results reveal a cortical-subcortical, left-to-right homotopic progression of GM loss. The right anterior cingulate is the only altered region found altered among c-HR, RDSZ and ChSZ. Contrast analyses show left-lateralized insular, amygdalar and parahippocampal GM reduction in RDSZ, which appears bilateral in ChSZ. Functional decomposition shows involvement of the salience network, with an enlargement of the sensorimotor network in RDSZ and the thalamus-basal nuclei network in ChSZ. These findings support the current neuroprogressive models of SZ and integrate this deterioration with the clinical evolution of the disease.
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Affiliation(s)
- Donato Liloia
- GCS-fMRI, Koelliker Hospital and Department of Psychology, University of Turin, Turin, Italy; Functional Neuroimaging and Complex Neural Systems (FOCUS) Laboratory, Department of Psychology, University of Turin, Turin, Italy.
| | - Claudio Brasso
- Department of Neuroscience "Rita Levi Montalcini", University of Turin, Turin, Italy.
| | - Franco Cauda
- GCS-fMRI, Koelliker Hospital and Department of Psychology, University of Turin, Turin, Italy; Functional Neuroimaging and Complex Neural Systems (FOCUS) Laboratory, Department of Psychology, University of Turin, Turin, Italy; Neuroscience Institute of Turin (NIT), University of Turin, Turin, Italy.
| | - Lorenzo Mancuso
- GCS-fMRI, Koelliker Hospital and Department of Psychology, University of Turin, Turin, Italy; Functional Neuroimaging and Complex Neural Systems (FOCUS) Laboratory, Department of Psychology, University of Turin, Turin, Italy.
| | - Andrea Nani
- GCS-fMRI, Koelliker Hospital and Department of Psychology, University of Turin, Turin, Italy; Functional Neuroimaging and Complex Neural Systems (FOCUS) Laboratory, Department of Psychology, University of Turin, Turin, Italy.
| | - Jordi Manuello
- GCS-fMRI, Koelliker Hospital and Department of Psychology, University of Turin, Turin, Italy; Functional Neuroimaging and Complex Neural Systems (FOCUS) Laboratory, Department of Psychology, University of Turin, Turin, Italy.
| | - Tommaso Costa
- GCS-fMRI, Koelliker Hospital and Department of Psychology, University of Turin, Turin, Italy; Functional Neuroimaging and Complex Neural Systems (FOCUS) Laboratory, Department of Psychology, University of Turin, Turin, Italy; Neuroscience Institute of Turin (NIT), University of Turin, Turin, Italy.
| | - Sergio Duca
- GCS-fMRI, Koelliker Hospital and Department of Psychology, University of Turin, Turin, Italy; Functional Neuroimaging and Complex Neural Systems (FOCUS) Laboratory, Department of Psychology, University of Turin, Turin, Italy.
| | - Paola Rocca
- Department of Neuroscience "Rita Levi Montalcini", University of Turin, Turin, Italy; Neuroscience Institute of Turin (NIT), University of Turin, Turin, Italy.
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21
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Cetin-Karayumak S, Di Biase MA, Chunga N, Reid B, Somes N, Lyall AE, Kelly S, Solgun B, Pasternak O, Vangel M, Pearlson G, Tamminga C, Sweeney JA, Clementz B, Schretlen D, Viher PV, Stegmayer K, Walther S, Lee J, Crow T, James A, Voineskos A, Buchanan RW, Szeszko PR, Malhotra AK, Hegde R, McCarley R, Keshavan M, Shenton M, Rathi Y, Kubicki M. White matter abnormalities across the lifespan of schizophrenia: a harmonized multi-site diffusion MRI study. Mol Psychiatry 2020; 25:3208-3219. [PMID: 31511636 PMCID: PMC7147982 DOI: 10.1038/s41380-019-0509-y] [Citation(s) in RCA: 93] [Impact Index Per Article: 23.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/12/2019] [Revised: 05/05/2019] [Accepted: 06/10/2019] [Indexed: 02/07/2023]
Abstract
Several prominent theories of schizophrenia suggest that structural white matter pathologies may follow a developmental, maturational, and/or degenerative process. However, a lack of lifespan studies has precluded verification of these theories. Here, we analyze the largest sample of carefully harmonized diffusion MRI data to comprehensively characterize age-related white matter trajectories, as measured by fractional anisotropy (FA), across the course of schizophrenia. Our analysis comprises diffusion scans of 600 schizophrenia patients and 492 healthy controls at different illness stages and ages (14-65 years), which were gathered from 13 sites. We determined the pattern of age-related FA changes by cross-sectionally assessing the timing of the structural neuropathology associated with schizophrenia. Quadratic curves were used to model between-group FA differences across whole-brain white matter and fiber tracts at each age; fiber tracts were then clustered according to both the effect-sizes and pattern of lifespan white matter FA differences. In whole-brain white matter, FA was significantly lower across the lifespan (up to 7%; p < 0.0033) and reached peak maturation younger in patients (27 years) compared to controls (33 years). Additionally, three distinct patterns of neuropathology emerged when investigating white matter fiber tracts in patients: (1) developmental abnormalities in limbic fibers, (2) accelerated aging and abnormal maturation in long-range association fibers, (3) severe developmental abnormalities and accelerated aging in callosal fibers. Our findings strongly suggest that white matter in schizophrenia is affected across entire stages of the disease. Perhaps most strikingly, we show that white matter changes in schizophrenia involve dynamic interactions between neuropathological processes in a tract-specific manner.
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Affiliation(s)
- Suheyla Cetin-Karayumak
- Department of Psychiatry, Brigham and Women's Hospital, Harvard Medical School, MA, Boston, USA.
| | - Maria A Di Biase
- Department of Psychiatry, Brigham and Women's Hospital, Harvard Medical School, MA, Boston, USA
| | - Natalia Chunga
- Department of Psychiatry, Brigham and Women's Hospital, Harvard Medical School, MA, Boston, USA
- Department of Neurology, University of Rochester Medical Center, NY, Rochester, USA
| | - Benjamin Reid
- Department of Psychiatry, Brigham and Women's Hospital, Harvard Medical School, MA, Boston, USA
| | - Nathaniel Somes
- Department of Psychiatry, Brigham and Women's Hospital, Harvard Medical School, MA, Boston, USA
- MGH Institute of Health Professions, MA, Charlestown, USA
| | - Amanda E Lyall
- Department of Psychiatry, Brigham and Women's Hospital, Harvard Medical School, MA, Boston, USA
- Department of Psychiatry, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Sinead Kelly
- Department of Psychiatry, Brigham and Women's Hospital, Harvard Medical School, MA, Boston, USA
- Department of Psychiatry, Beth Israel Deaconess Medical Centre, Harvard Medical School, Boston, MA, USA
| | | | - Ofer Pasternak
- Department of Psychiatry, Brigham and Women's Hospital, Harvard Medical School, MA, Boston, USA
- Department of Psychiatry, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
- Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Mark Vangel
- Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | | | - Carol Tamminga
- Department of Psychiatry, UT Southwestern Medical Center, Dallas, TX, USA
| | - John A Sweeney
- Department of Psychiatry and Behavioral Neuroscience, University of Cincinnati, Cincinnati, OH, USA
| | - Brett Clementz
- Departments of Psychology and Neuroscience, Bio-Imaging Research Center, University of Georgia, Athens, USA
| | - David Schretlen
- Department of Psychiatry and Behavioral Sciences, Morgan Department of Radiology and Radiological Science, Johns Hopkins Medical Institutions, Baltimore, USA
| | - Petra Verena Viher
- University of Bern, University Hospital of Psychiatry, Bern, Switzerland
| | | | - Sebastian Walther
- University of Bern, University Hospital of Psychiatry, Bern, Switzerland
| | - Jungsun Lee
- Department of Psychiatry, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Korea
| | - Tim Crow
- Department of Psychiatry, SANE POWIC, Warneford Hospital, University of Oxford, Oxford, UK
| | - Anthony James
- Department of Psychiatry, SANE POWIC, Warneford Hospital, University of Oxford, Oxford, UK
| | - Aristotle Voineskos
- Centre for Addiction and Mental Health; Department of Psychiatry, University of Toronto, Toronto, Canada
| | | | - Philip R Szeszko
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai; Mental Illness Research, Education and Clinical Center, James J. Peters VA Medical Center, New York, USA
| | - Anil K Malhotra
- The Feinstein Institute for Medical Research and Zucker Hillside Hospital, Manhasset, USA
| | - Rachal Hegde
- Department of Psychiatry, Beth Israel Deaconess Medical Centre, Harvard Medical School, Boston, MA, USA
| | | | - Matcheri Keshavan
- Department of Psychiatry, Beth Israel Deaconess Medical Centre, Harvard Medical School, Boston, MA, USA
| | - Martha Shenton
- Department of Psychiatry, Brigham and Women's Hospital, Harvard Medical School, MA, Boston, USA
- Department of Psychiatry, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
- Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
- VA Boston Healthcare System, Harvard Medical School, Boston, USA
| | - Yogesh Rathi
- Department of Psychiatry, Brigham and Women's Hospital, Harvard Medical School, MA, Boston, USA
- Department of Psychiatry, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
- Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Marek Kubicki
- Department of Psychiatry, Brigham and Women's Hospital, Harvard Medical School, MA, Boston, USA
- Department of Psychiatry, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
- Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
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22
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Davies C, Segre G, Estradé A, Radua J, De Micheli A, Provenzani U, Oliver D, Salazar de Pablo G, Ramella-Cravaro V, Besozzi M, Dazzan P, Miele M, Caputo G, Spallarossa C, Crossland G, Ilyas A, Spada G, Politi P, Murray RM, McGuire P, Fusar-Poli P. Prenatal and perinatal risk and protective factors for psychosis: a systematic review and meta-analysis. Lancet Psychiatry 2020; 7:399-410. [PMID: 32220288 DOI: 10.1016/s2215-0366(20)30057-2] [Citation(s) in RCA: 163] [Impact Index Per Article: 40.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/09/2019] [Revised: 01/24/2020] [Accepted: 02/04/2020] [Indexed: 02/06/2023]
Abstract
BACKGROUND Prenatal and perinatal insults are implicated in the aetiopathogenesis of psychotic disorders but the consistency and magnitude of their associations with psychosis have not been updated for nearly two decades. The aim of this systematic review and meta-analysis was to provide a comprehensive and up-to-date synthesis of the evidence on the association between prenatal or perinatal risk and protective factors and psychotic disorders. METHODS In this systematic review and meta-analysis, we searched the Web of Science database for articles published up to July 20, 2019. We identified cohort and case-control studies examining the association (odds ratio [OR]) between prenatal and perinatal factors and any International Classification of Diseases (ICD) or Diagnostic and Statistical Manual of Mental Disorders (DSM) non-organic psychotic disorder with a healthy comparison group. Other inclusion criteria were enough data available to do the analyses, and non-overlapping datasets. We excluded reviews, meta-analyses, abstracts or conference proceedings, and articles with overlapping datasets. Data were extracted according to EQUATOR and PRISMA guidelines. Extracted variables included first author, publication year, study type, sample size, type of psychotic diagnosis (non-affective psychoses or schizophrenia-spectrum disorders, affective psychoses) and diagnostic instrument (DSM or ICD and version), the risk or protective factor, and measure of association (primary outcome). We did random-effects pairwise meta-analyses, Q statistics, I2 index, sensitivity analyses, meta-regressions, and assessed study quality and publication bias. The study protocol was registered at PROSPERO, CRD42017079261. FINDINGS 152 studies relating to 98 risk or protective factors were eligible for analysis. Significant risk factors were: maternal age younger than 20 years (OR 1·17) and 30-34 years (OR 1·05); paternal age younger than 20 years (OR 1·31) and older than 35 years (OR 1·28); any maternal (OR 4·60) or paternal (OR 2·73) psychopathology; maternal psychosis (OR 7·61) and affective disorder (OR 2·26); three or more pregnancies (OR 1·30); herpes simplex 2 (OR 1·35); maternal infections not otherwise specified (NOS; OR 1·27); suboptimal number of antenatal visits (OR 1·83); winter (OR 1·05) and winter to spring (OR 1·05) season of birth in the northern hemisphere; maternal stress NOS (OR 2·40); famine (OR 1·61); any famine or nutritional deficits in pregnancy (OR 1·40); maternal hypertension (OR 1·40); hypoxia (OR 1·63); ruptured (OR 1·86) and premature rupture (OR 2·29) of membranes; polyhydramnios (OR 3·05); definite obstetric complications NOS (OR 1·83); birthweights of less than 2000 g (OR 1·84), less than 2500 g (OR 1·53), or 2500-2999 g (OR 1·23); birth length less than 49 cm (OR 1·17); small for gestational age (OR 1·40); premature birth (OR 1·35), and congenital malformations (OR 2·35). Significant protective factors were maternal ages 20-24 years (OR 0·93) and 25-29 years (OR 0·92), nulliparity (OR 0·91), and birthweights 3500-3999 g (OR 0·90) or more than 4000 g (OR 0·86). The results were corrected for publication biases; sensitivity and meta-regression analyses confirmed the robustness of these findings for most factors. INTERPRETATION Several prenatal and perinatal factors are associated with the later onset of psychosis. The updated knowledge emerging from this study could refine understanding of psychosis pathogenesis, enhance multivariable risk prediction, and inform preventive strategies. FUNDING None.
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Affiliation(s)
- Cathy Davies
- Early Psychosis: Interventions and Clinical-detection (EPIC) Laboratory, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK; Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Giulia Segre
- Early Psychosis: Interventions and Clinical-detection (EPIC) Laboratory, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK; Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Andrés Estradé
- Early Psychosis: Interventions and Clinical-detection (EPIC) Laboratory, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK; Department of Clinical and Health Psychology, Universidad Católica, Montevideo, Uruguay
| | - Joaquim Radua
- Early Psychosis: Interventions and Clinical-detection (EPIC) Laboratory, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK; Imaging of Mood and Anxiety-Related Disorders (IMARD) group, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), CIBERSAM, Barcelona, Spain; Department of Clinical Neuroscience, Centre for Psychiatric Research and Education, Karolinska Institutet, Stockholm, Sweden
| | - Andrea De Micheli
- Early Psychosis: Interventions and Clinical-detection (EPIC) Laboratory, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK; National Institute for Health Research Biomedical Research Centre, South London and Maudsley NHS Foundation Trust, London, UK
| | - Umberto Provenzani
- Early Psychosis: Interventions and Clinical-detection (EPIC) Laboratory, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK; Department of Brain and Behavioral Sciences, University of Pavia, Pavia, Italy
| | - Dominic Oliver
- Early Psychosis: Interventions and Clinical-detection (EPIC) Laboratory, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Gonzalo Salazar de Pablo
- Early Psychosis: Interventions and Clinical-detection (EPIC) Laboratory, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK; Institute of Psychiatry and Mental Health, Department of Child and Adolescent Psychiatry, Hospital General Universitario Gregorio Marañón, Universidad Complutense, CIBERSAM, Madrid, Spain
| | - Valentina Ramella-Cravaro
- Early Psychosis: Interventions and Clinical-detection (EPIC) Laboratory, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Maria Besozzi
- Department of Brain and Behavioral Sciences, University of Pavia, Pavia, Italy
| | - Paola Dazzan
- Department of Psychological Medicine, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Maddalena Miele
- Perinatal Mental Health Service, St Mary's Hospital, Imperial College London and Central North West London NHS Foundation Trust, London, UK
| | - Gianluigi Caputo
- Early Psychosis: Interventions and Clinical-detection (EPIC) Laboratory, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Cecilia Spallarossa
- Early Psychosis: Interventions and Clinical-detection (EPIC) Laboratory, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Georgia Crossland
- Early Psychosis: Interventions and Clinical-detection (EPIC) Laboratory, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Athif Ilyas
- Early Psychosis: Interventions and Clinical-detection (EPIC) Laboratory, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Giulia Spada
- Early Psychosis: Interventions and Clinical-detection (EPIC) Laboratory, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Pierluigi Politi
- Department of Brain and Behavioral Sciences, University of Pavia, Pavia, Italy
| | - Robin M Murray
- Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Philip McGuire
- Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK; National Institute for Health Research Biomedical Research Centre, South London and Maudsley NHS Foundation Trust, London, UK; Outreach And Support in South London (OASIS) Service, South London and Maudsley NHS Foundation Trust, London, UK
| | - Paolo Fusar-Poli
- Early Psychosis: Interventions and Clinical-detection (EPIC) Laboratory, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK; National Institute for Health Research Biomedical Research Centre, South London and Maudsley NHS Foundation Trust, London, UK; Outreach And Support in South London (OASIS) Service, South London and Maudsley NHS Foundation Trust, London, UK; Department of Brain and Behavioral Sciences, University of Pavia, Pavia, Italy.
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23
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Hickie IB, Scott EM, Cross SP, Iorfino F, Davenport TA, Guastella AJ, Naismith SL, Carpenter JS, Rohleder C, Crouse JJ, Hermens DF, Koethe D, Markus Leweke F, Tickell AM, Sawrikar V, Scott J. Right care, first time: a highly personalised and measurement-based care model to manage youth mental health. Med J Aust 2020; 211 Suppl 9:S3-S46. [PMID: 31679171 DOI: 10.5694/mja2.50383] [Citation(s) in RCA: 55] [Impact Index Per Article: 13.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
Mood and psychotic syndromes most often emerge during adolescence and young adulthood, a period characterised by major physical and social change. Consequently, the effects of adolescent-onset mood and psychotic syndromes can have long term consequences. A key clinical challenge for youth mental health is to develop and test new systems that align with current evidence for comorbid presentations and underlying neurobiology, and are useful for predicting outcomes and guiding decisions regarding the provision of appropriate and effective care. Our highly personalised and measurement-based care model includes three core concepts: ▶ A multidimensional assessment and outcomes framework that includes: social and occupational function; self-harm, suicidal thoughts and behaviour; alcohol or other substance misuse; physical health; and illness trajectory. ▶ Clinical stage. ▶ Three common illness subtypes (psychosis, anxious depression, bipolar spectrum) based on proposed pathophysiological mechanisms (neurodevelopmental, hyperarousal, circadian). The model explicitly aims to prevent progression to more complex and severe forms of illness and is better aligned to contemporary models of the patterns of emergence of psychopathology. Inherent within this highly personalised approach is the incorporation of other evidence-based processes, including real-time measurement-based care as well as utilisation of multidisciplinary teams of health professionals. Data-driven local system modelling and personalised health information technologies provide crucial infrastructure support to these processes for better access to, and higher quality, mental health care for young people. CHAPTER 1: MULTIDIMENSIONAL OUTCOMES IN YOUTH MENTAL HEALTH CARE: WHAT MATTERS AND WHY?: Mood and psychotic syndromes present one of the most serious public health challenges that we face in the 21st century. Factors including prevalence, age of onset, and chronicity contribute to substantial burden and secondary risks such as alcohol or other substance misuse. Mood and psychotic syndromes most often emerge during adolescence and young adulthood, a period characterised by major physical and social change; thus, effects can have long term consequences. We propose five key domains which make up a multidimensional outcomes framework that aims to address the specific needs of young people presenting to health services with emerging mental illness. These include social and occupational function; self-harm, suicidal thoughts and behaviours; alcohol or other substance misuse; physical health; and illness type, stage and trajectory. Impairment and concurrent morbidity are well established in young people by the time they present for mental health care. Despite this, services and health professionals tend to focus on only one aspect of the presentation - illness type, stage and trajectory - and are often at odds with the preferences of young people and their families. There is a need to address the disconnect between mental health, physical health and social services and interventions, to ensure that youth mental health care focuses on the outcomes that matter to young people. CHAPTER 2: COMBINING CLINICAL STAGE AND PATHOPHYSIOLOGICAL MECHANISMS TO UNDERSTAND ILLNESS TRAJECTORIES IN YOUNG PEOPLE WITH EMERGING MOOD AND PSYCHOTIC SYNDROMES: Traditional diagnostic classification systems for mental disorders map poorly onto the early stages of illness experienced by young people, and purport categorical distinctions that are not readily supported by research into genetic, environmental and neurobiological risk factors. Consequently, a key clinical challenge in youth mental health is to develop and test new classification systems that align with current evidence on comorbid presentations, are consistent with current understanding of underlying neurobiology, and provide utility for predicting outcomes and guiding decisions regarding the provision of appropriate and effective care. This chapter outlines a transdiagnostic framework for classifying common adolescent-onset mood and psychotic syndromes, combining two independent but complementary dimensions: clinical staging, and three proposed pathophysiological mechanisms. Clinical staging reflects the progression of mental disorders and is in line with the concept used in general medicine, where more advanced stages are associated with a poorer prognosis and a need for more intensive interventions with a higher risk-to-benefit ratio. The three proposed pathophysiological mechanisms are neurodevelopmental abnormalities, hyperarousal and circadian dysfunction, which, over time, have illness trajectories (or pathways) to psychosis, anxious depression and bipolar spectrum disorders, respectively. The transdiagnostic framework has been evaluated in young people presenting to youth mental health clinics of the University of Sydney's Brain and Mind Centre, alongside a range of clinical and objective measures. Our research to date provides support for this framework, and we are now exploring its application to the development of more personalised models of care. CHAPTER 3: A COMPREHENSIVE ASSESSMENT FRAMEWORK FOR YOUTH MENTAL HEALTH: GUIDING HIGHLY PERSONALISED AND MEASUREMENT-BASED CARE USING MULTIDIMENSIONAL AND OBJECTIVE MEASURES: There is an urgent need for improved care for young people with mental health problems, in particular those with subthreshold mental disorders that are not sufficiently severe to meet traditional diagnostic criteria. New comprehensive assessment frameworks are needed to capture the biopsychosocial profile of a young person to drive highly personalised and measurement-based mental health care. We present a range of multidimensional measures involving five key domains: social and occupational function; self-harm, suicidal thoughts and behaviours; alcohol or other substance misuse; physical health; and illness type, stage and trajectory. Objective measures include: neuropsychological function; sleep-wake behaviours and circadian rhythms; metabolic and immune markers; and brain structure and function. The recommended multidimensional measures facilitate the development of a comprehensive clinical picture. The objective measures help to further develop informative and novel insights into underlying pathophysiological mechanisms and illness trajectories to guide personalised care plans. A panel of specific multidimensional and objective measures are recommended as standard clinical practice, while others are recommended secondarily to provide deeper insights with the aim of revealing alternative clinical paths for targeted interventions and treatments matched to the clinical stage and proposed pathophysiological mechanisms of the young person. CHAPTER 4: PERSONALISING CARE OPTIONS IN YOUTH MENTAL HEALTH: USING MULTIDIMENSIONAL ASSESSMENT, CLINICAL STAGE, PATHOPHYSIOLOGICAL MECHANISMS, AND INDIVIDUAL ILLNESS TRAJECTORIES TO GUIDE TREATMENT SELECTION: New models of mental health care for young people require that interventions be matched to illness type, clinical stage, underlying pathophysiological mechanisms and individual illness trajectories. Narrow syndrome-focused classifications often direct clinical attention away from other key factors such as functional impairment, self-harm and suicidality, alcohol or other substance misuse, and poor physical health. By contrast, we outline a treatment selection guide for early intervention for adolescent-onset mood and psychotic syndromes (ie, active treatments and indicated and more specific secondary prevention strategies). This guide is based on experiences with the Brain and Mind Centre's highly personalised and measurement-based care model to manage youth mental health. The model incorporates three complementary core concepts: ▶A multidimensional assessment and outcomes framework including: social and occupational function; self-harm, suicidal thoughts and behaviours; alcohol or other substance misuse; physical health; and illness trajectory. ▶Clinical stage. ▶Three common illness subtypes (psychosis, anxious depression, bipolar spectrum) based on three underlying pathophysiological mechanisms (neurodevelopmental, hyperarousal, circadian). These core concepts are not mutually exclusive and together may facilitate improved outcomes through a clinical stage-appropriate and transdiagnostic framework that helps guide decisions regarding the provision of appropriate and effective care options. Given its emphasis on adolescent-onset mood and psychotic syndromes, the Brain and Mind Centre's model of care also respects a fundamental developmental perspective - categorising childhood problems (eg, anxiety and neurodevelopmental difficulties) as risk factors and respecting the fact that young people are in a period of major biological and social transition. Based on these factors, a range of social, psychological and pharmacological interventions are recommended, with an emphasis on balancing the personal benefit-to-cost ratio. CHAPTER 5: A SERVICE DELIVERY MODEL TO SUPPORT HIGHLY PERSONALISED AND MEASUREMENT-BASED CARE IN YOUTH MENTAL HEALTH: Over the past decade, we have seen a growing focus on creating mental health service delivery models that better meet the unique needs of young Australians. Recent policy directives from the Australian Government recommend the adoption of stepped-care services to improve the appropriateness of care, determined by severity of need. Here, we propose that a highly personalised approach enhances stepped-care models by incorporating clinical staging and a young person's current and multidimensional needs. It explicitly aims to prevent progression to more complex and severe forms of illness and is better aligned to contemporary models of the patterns of emergence of psychopathology. Inherent within a highly personalised approach is the incorporation of other evidence-based processes, including real-time measurement-based care and use of multidisciplinary teams of health professionals. Data-driven local system modelling and personalised health information technologies provide crucial infrastructure support to these processes for better access to, and higher quality of, mental health care for young people.
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Affiliation(s)
- Ian B Hickie
- Brain and Mind Centre, University of Sydney, Sydney, NSW
| | - Elizabeth M Scott
- Brain and Mind Centre, University of Sydney, Sydney, NSW.,University of Notre Dame Australia, Sydney, NSW
| | - Shane P Cross
- Brain and Mind Centre, University of Sydney, Sydney, NSW
| | - Frank Iorfino
- Brain and Mind Centre, University of Sydney, Sydney, NSW
| | | | | | | | | | | | - Jacob J Crouse
- Brain and Mind Centre, University of Sydney, Sydney, NSW
| | - Daniel F Hermens
- Brain and Mind Centre, University of Sydney, Sydney, NSW.,Sunshine Coast Mind and Neuroscience - Thompson Institute, University of the Sunshine Coast, Birtinya, QLD
| | - Dagmar Koethe
- Brain and Mind Centre, University of Sydney, Sydney, NSW
| | | | | | - Vilas Sawrikar
- Brain and Mind Centre, University of Sydney, Sydney, NSW.,University of Edinburgh, Edinburgh, UK
| | - Jan Scott
- Brain and Mind Centre, University of Sydney, Sydney, NSW.,Institute of Neuroscience, Newcastle University, Newcastle Upon Tyne, UK
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24
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Kępińska AP, Iyegbe CO, Vernon AC, Yolken R, Murray RM, Pollak TA. Schizophrenia and Influenza at the Centenary of the 1918-1919 Spanish Influenza Pandemic: Mechanisms of Psychosis Risk. Front Psychiatry 2020; 11:72. [PMID: 32174851 PMCID: PMC7054463 DOI: 10.3389/fpsyt.2020.00072] [Citation(s) in RCA: 107] [Impact Index Per Article: 26.8] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/07/2019] [Accepted: 01/28/2020] [Indexed: 12/13/2022] Open
Abstract
Associations between influenza infection and psychosis have been reported since the eighteenth century, with acute "psychoses of influenza" documented during multiple pandemics. In the late 20th century, reports of a season-of-birth effect in schizophrenia were supported by large-scale ecological and sero-epidemiological studies suggesting that maternal influenza infection increases the risk of psychosis in offspring. We examine the evidence for the association between influenza infection and schizophrenia risk, before reviewing possible mechanisms via which this risk may be conferred. Maternal immune activation models implicate placental dysfunction, disruption of cytokine networks, and subsequent microglial activation as potentially important pathogenic processes. More recent neuroimmunological advances focusing on neuronal autoimmunity following infection provide the basis for a model of infection-induced psychosis, potentially implicating autoimmunity to schizophrenia-relevant protein targets including the N-methyl-D-aspartate receptor. Finally, we outline areas for future research and relevant experimental approaches and consider whether the current evidence provides a basis for the rational development of strategies to prevent schizophrenia.
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Affiliation(s)
- Adrianna P. Kępińska
- Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom
| | - Conrad O. Iyegbe
- Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom
| | - Anthony C. Vernon
- Department of Basic and Clinical Neuroscience, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, United Kingdom
- MRC Centre for Neurodevelopmental Disorders, King’s College London, London, United Kingdom
| | - Robert Yolken
- Stanley Laboratory of Developmental Neurovirology, Johns Hopkins Medical Center, Baltimore, MD, United States
| | - Robin M. Murray
- Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom
| | - Thomas A. Pollak
- Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom
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25
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Shah P, Iwata Y, Brown EE, Kim J, Sanches M, Takeuchi H, Nakajima S, Hahn M, Remington G, Gerretsen P, Graff-Guerrero A. Clozapine response trajectories and predictors of non-response in treatment-resistant schizophrenia: a chart review study. Eur Arch Psychiatry Clin Neurosci 2020; 270:11-22. [PMID: 31428862 DOI: 10.1007/s00406-019-01053-6] [Citation(s) in RCA: 30] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/09/2019] [Accepted: 08/07/2019] [Indexed: 02/06/2023]
Abstract
Although clozapine is the main antipsychotic medication for treatment-resistant schizophrenia, 40-70% of patients on clozapine have persistent psychotic symptoms (i.e. ultra-treatment-resistant schizophrenia, UTRS). We aimed to examine clozapine response/non-response patterns in patients with treatment-resistant schizophrenia, as well as determine patient clinico-demographic factors associated with long-term clozapine non-response. Clinico-demographic characteristics of 241 patients on clozapine were collected through a retrospective chart review. The median (interquartile range, IQR) follow-up from illness onset was 25.0 (IQR = 24.0) years. Clozapine response was assessed at median 10.8 (IQR = 14.0) months (Time 1, T1) and 7.2 (IQR = 13.5) years (Time 2, T2) after its initiation. It was evaluated by chart reviewers based on the information provided in clinical notes. Binomial logistic regression was used to determine clinico-demographic factors associated with clozapine non-response at both T1 and T2 (i.e. stable UTRS, S-UTRS) compared to clozapine response at both times (i.e. stable clozapine responders, S-ClozResp). Among clozapine responders (n = 122) at T1, 83.6% remained clozapine responsive and 16.4% became non-responsive at T2. In the UTRS group (n = 119) at T1, 87.4% remained clozapine non-responsive and 12.6% became responsive at T2. Duration of delay in clozapine initiation (OR = 0.94, Wald χ2 = 5.33, p = 0.021) and number of pre-clozapine hospitalizations (OR = 0.95, Wald χ2 = 5.20, p = 0.023) were associated with S-UTRS. Most UTRS patients were non-responsive to clozapine from the start of treatment. Preventing delay in initiating clozapine and relapses could help promote long-term clozapine response in patients with treatment-resistant schizophrenia. Future longitudinal studies are required to explore the neuropathological correlates of relapses and delay in clozapine initiation.
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Affiliation(s)
- Parita Shah
- Multimodal Imaging Group, Research Imaging Centre, Centre for Addiction and Mental Health (CAMH), 250 College Street, Toronto, ON, M5T 1R8, Canada.,Institute of Medical Science, University of Toronto, Toronto, ON, Canada
| | - Yusuke Iwata
- Multimodal Imaging Group, Research Imaging Centre, Centre for Addiction and Mental Health (CAMH), 250 College Street, Toronto, ON, M5T 1R8, Canada.,Department of Psychiatry, University of Toronto, Toronto, ON, Canada
| | - Eric E Brown
- Multimodal Imaging Group, Research Imaging Centre, Centre for Addiction and Mental Health (CAMH), 250 College Street, Toronto, ON, M5T 1R8, Canada.,Institute of Medical Science, University of Toronto, Toronto, ON, Canada.,Department of Psychiatry, University of Toronto, Toronto, ON, Canada.,Geriatric Mental Health Division, CAMH, University of Toronto, Toronto, ON, Canada
| | - Julia Kim
- Multimodal Imaging Group, Research Imaging Centre, Centre for Addiction and Mental Health (CAMH), 250 College Street, Toronto, ON, M5T 1R8, Canada.,Institute of Medical Science, University of Toronto, Toronto, ON, Canada
| | - Marcos Sanches
- Krembil Centre for Neuroinformatics, CAMH, Toronto, ON, Canada.,Biostatistics Department, Dalla Lana School of Public Health, University of Toronto, Toronto, ON, Canada
| | - Hiroyoshi Takeuchi
- Department of Neuropsychiatry, School of Medicine, Keio University, Tokyo, Japan
| | - Shinichiro Nakajima
- Multimodal Imaging Group, Research Imaging Centre, Centre for Addiction and Mental Health (CAMH), 250 College Street, Toronto, ON, M5T 1R8, Canada.,Department of Neuropsychiatry, School of Medicine, Keio University, Tokyo, Japan
| | - Margaret Hahn
- Institute of Medical Science, University of Toronto, Toronto, ON, Canada.,Department of Psychiatry, University of Toronto, Toronto, ON, Canada.,Campbell Family Mental Health Research Institute, CAMH, University of Toronto, Toronto, ON, Canada.,Banting and Best Diabetes Centre, University of Toronto, Toronto, ON, Canada
| | - Gary Remington
- Institute of Medical Science, University of Toronto, Toronto, ON, Canada.,Department of Psychiatry, University of Toronto, Toronto, ON, Canada.,Geriatric Mental Health Division, CAMH, University of Toronto, Toronto, ON, Canada.,Campbell Family Mental Health Research Institute, CAMH, University of Toronto, Toronto, ON, Canada
| | - Philip Gerretsen
- Multimodal Imaging Group, Research Imaging Centre, Centre for Addiction and Mental Health (CAMH), 250 College Street, Toronto, ON, M5T 1R8, Canada.,Institute of Medical Science, University of Toronto, Toronto, ON, Canada.,Department of Psychiatry, University of Toronto, Toronto, ON, Canada.,Geriatric Mental Health Division, CAMH, University of Toronto, Toronto, ON, Canada.,Campbell Family Mental Health Research Institute, CAMH, University of Toronto, Toronto, ON, Canada
| | - Ariel Graff-Guerrero
- Multimodal Imaging Group, Research Imaging Centre, Centre for Addiction and Mental Health (CAMH), 250 College Street, Toronto, ON, M5T 1R8, Canada. .,Institute of Medical Science, University of Toronto, Toronto, ON, Canada. .,Department of Psychiatry, University of Toronto, Toronto, ON, Canada. .,Geriatric Mental Health Division, CAMH, University of Toronto, Toronto, ON, Canada. .,Campbell Family Mental Health Research Institute, CAMH, University of Toronto, Toronto, ON, Canada.
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26
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Golofast B, Vales K. The connection between microbiome and schizophrenia. Neurosci Biobehav Rev 2019; 108:712-731. [PMID: 31821833 DOI: 10.1016/j.neubiorev.2019.12.011] [Citation(s) in RCA: 42] [Impact Index Per Article: 8.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2019] [Revised: 12/01/2019] [Accepted: 12/06/2019] [Indexed: 12/15/2022]
Abstract
There has been an accumulation of knowledge about the human microbiome, some detailed investigations of the gastrointestinal microbiota and its functions, and the highlighting of complex interactions between the gut, the gut microbiota, and the central nervous system. That assumes the involvement of the microbiome in the pathogenesis of various CNS diseases, including schizophrenia. Given this information and the fact, that the gut microbiota is sensitive to internal and environmental influences, we have speculated that among the factors that influence the formation and composition of gut microbiota during life, possible key elements in the schizophrenia development chain are hidden where gut microbiota is a linking component. This article aims to describe and understand the developmental relationships between intestinal microbiota and the risk of developing schizophrenia.
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Affiliation(s)
- Bogdana Golofast
- National Institute of Mental Health, Topolova 748, 250 67 Klecany, Prague East, Czech Republic; Third Faculty of Medicine, Charles University, Ruská 87, 100 00 Prague 10, Czech Republic.
| | - Karel Vales
- National Institute of Mental Health, Topolova 748, 250 67 Klecany, Prague East, Czech Republic
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27
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A multimodal attempt to follow-up linkage regions using RNA expression, SNPs and CpG methylation in schizophrenia and bipolar disorder kindreds. Eur J Hum Genet 2019; 28:499-507. [PMID: 31695175 DOI: 10.1038/s41431-019-0526-y] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/26/2019] [Revised: 08/20/2019] [Accepted: 09/27/2019] [Indexed: 11/09/2022] Open
Abstract
The complexity of schizophrenia (SZ) and bipolar disorder (BD) has slowed down progress in understanding their genetic roots. Alternative genomic approaches are needed to bypass these difficulties. We attempted a multimodal approach to follow-up on reported linkage findings in SZ and BD from the Eastern Quebec kindreds in chromosomes 3q21, 4p34, 6p22, 8p21, 8p11, 13q11-q14, 15q13, 16p12, and 18q21. First, in 498 subjects, we measured RNA expression (47 K Illumina chips) in SZ and BD patients that we compared with their non-affected relatives (NARs) to identify, for each chromosomal region, genes showing the most significant differences in expression. Second, we performed SNP genotyping (700 K Illumina chips) and cis-eQTN analysis. Third, we measured DNA methylation on genes with RNA expression differences or eQTNs. We found a significant overexpression of the gene ITGB5 at 3q25 in SZ and BD after multiple testing p value adjustment. SPCS3 gene at 4q34, and FZD3 gene at 8p21, contained significant eQTNs after multiple testing corrections, while ITGB5 provided suggestive results. Methylation in associated genes did not explain the expression differences between patients and NARs. Our multimodal approach involving RNA expression, dense SNP genotyping and eQTN analyses, restricted to chromosomal regions having shown linkage, lowered the multiple testing burden and allowed for a deeper examination of candidate genes in SZ or BD.
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28
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Palaniyappan L. Inefficient neural system stabilization: a theory of spontaneous resolutions and recurrent relapses in psychosis. J Psychiatry Neurosci 2019; 44:367-383. [PMID: 31245961 PMCID: PMC6821513 DOI: 10.1503/jpn.180038] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/13/2018] [Revised: 02/07/2019] [Accepted: 03/05/2019] [Indexed: 12/21/2022] Open
Abstract
A striking feature of psychosis is its heterogeneity. Presentations of psychosis vary from transient symptoms with no functional consequence in the general population to a tenacious illness at the other extreme, with a wide range of variable trajectories in between. Even among patients with schizophrenia, who are diagnosed on the basis of persistent deterioration, marked variation is seen in response to treatment, frequency of relapses and degree of eventual recovery. Existing theoretical accounts of psychosis focus almost exclusively on how symptoms are initially formed, with much less emphasis on explaining their variable course. In this review, I present an account that links several existing notions of the biology of psychosis with the variant clinical trajectories. My aim is to incorporate perspectives of systems neuroscience in a staging framework to explain the individual variations in illness course that follow the onset of psychosis.
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Affiliation(s)
- Lena Palaniyappan
- From the Department of Psychiatry and Robarts Research Institute, University of Western Ontario and Lawson Health Research Institute, London, Ont., Canada
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29
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Trovão N, Prata J, VonDoellinger O, Santos S, Barbosa M, Coelho R. Peripheral Biomarkers for First-Episode Psychosis-Opportunities from the Neuroinflammatory Hypothesis of Schizophrenia. Psychiatry Investig 2019; 16:177-184. [PMID: 30836740 PMCID: PMC6444098 DOI: 10.30773/pi.2018.12.19.1] [Citation(s) in RCA: 29] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/07/2018] [Accepted: 12/19/2018] [Indexed: 01/19/2023] Open
Abstract
OBJECTIVE Schizophrenia is a disabling disorder of unknown aetiology, lacking definite diagnostic method and cure. A reliable biological marker of schizophrenia is highly demanded, for which traceable immune mediators in blood could be promising candidates. We aimed to gather the best findings of neuroinflammatory markers for first-episode psychosis (FEP). METHODS We performed an extensive narrative review of online literature on inflammation-related markers found in human FEP patients only. RESULTS Changes to cytokine levels have been increasingly reported in schizophrenia. The peripheral levels of IL-1 (or its receptor antagonist), soluble IL-2 receptor, IL-4, IL-6, IL-8, and TNF-α have been frequently reported as increased in FEP, in a suggestive continuum from high-risk stages for psychosis. Microglia and astrocytes establish the link between this immune signalling and the synthesis of noxious tryptophan catabolism products, that cause structural damage and directly hamper normal neurotransmission. Amongst these, only 3-hydroxykynurenine has been consistently described in the blood of FEP patients. CONCLUSION Peripheral molecules stemming from brain inflammation might provide insightful biomarkers of schizophrenia, as early as FEP or even prodromal phases, although more time- and clinically-adjusted studies are essential for their validation.
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Affiliation(s)
- Nuno Trovão
- Department of Psychiatry, Vila Nova de Gaia/ Espinho Hospital Center, Vila Nova de Gaia, Portugal.,Instituto de Investigação e Inovação em Saúde, University of Porto, Porto, Portugal.,Department of Psychiatry, Faculty of Medicine of University of Porto, Porto, Portugal
| | - Joana Prata
- Department of Psychiatry, Vila Nova de Gaia/ Espinho Hospital Center, Vila Nova de Gaia, Portugal.,Instituto de Investigação e Inovação em Saúde, University of Porto, Porto, Portugal.,Department of Psychiatry, Faculty of Medicine of University of Porto, Porto, Portugal
| | - Orlando VonDoellinger
- Instituto de Investigação e Inovação em Saúde, University of Porto, Porto, Portugal.,Department of Psychiatry, Tâmega e Sousa Hospital Center, Penafiel, Portugal
| | - Susana Santos
- Instituto de Investigação e Inovação em Saúde, University of Porto, Porto, Portugal.,Instituto de Engenharia Biomédica, University of Porto, Porto, Portugal
| | - Mário Barbosa
- Instituto de Investigação e Inovação em Saúde, University of Porto, Porto, Portugal.,Instituto de Engenharia Biomédica, University of Porto, Porto, Portugal.,Instituto de Ciências Biomédicas Abel Salazar, University of Porto, Porto, Portugal
| | - Rui Coelho
- Instituto de Investigação e Inovação em Saúde, University of Porto, Porto, Portugal.,Department of Psychiatry, Faculty of Medicine of University of Porto, Porto, Portugal
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30
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Lin Y, Li M, Zhou Y, Deng W, Ma X, Wang Q, Guo W, Li Y, Jiang L, Hu X, Zhang N, Li T. Age-Related Reduction in Cortical Thickness in First-Episode Treatment-Naïve Patients with Schizophrenia. Neurosci Bull 2019; 35:688-696. [PMID: 30790217 DOI: 10.1007/s12264-019-00348-x] [Citation(s) in RCA: 21] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2018] [Accepted: 10/25/2018] [Indexed: 02/05/2023] Open
Abstract
Substantial evidence supports the neurodevelopmental hypothesis of schizophrenia. Meanwhile, progressive neurodegenerative processes have also been reported, leading to the hypothesis that neurodegeneration is a characteristic component in the neuropathology of schizophrenia. However, a major challenge for the neurodegenerative hypothesis is that antipsychotic drugs used by patients have profound impact on brain structures. To clarify this potential confounding factor, we measured the cortical thickness across the whole brain using high-resolution T1-weighted magnetic resonance imaging in 145 first-episode and treatment-naïve patients with schizophrenia and 147 healthy controls. The results showed that, in the patient group, the frontal, temporal, parietal, and cingulate gyri displayed a significant age-related reduction of cortical thickness. In the control group, age-related cortical thickness reduction was mostly located in the frontal, temporal, and cingulate gyri, albeit to a lesser extent. Importantly, relative to healthy controls, patients exhibited a significantly smaller age-related cortical thickness in the anterior cingulate, inferior temporal, and insular gyri in the right hemisphere. These results provide evidence supporting the existence of neurodegenerative processes in schizophrenia and suggest that these processes already occur in the early stage of the illness.
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Affiliation(s)
- Yin Lin
- Mental Health Centre and Psychiatric Laboratory, State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, 610041, China.,West China Brain Research Centre, West China Hospital, Sichuan University, Chengdu, 610041, China.,Department of Psychology, Shenzhen Children's Hospital, Shenzhen, 518038, China
| | - Mingli Li
- Mental Health Centre and Psychiatric Laboratory, State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, 610041, China.,West China Brain Research Centre, West China Hospital, Sichuan University, Chengdu, 610041, China
| | - Yi Zhou
- Department of Radiology, Hospital for Chengdu Office of Tibetan Autonomous Region, Branch Hospital of West China Hospital, Sichuan University, Chengdu, 610041, China
| | - Wei Deng
- Mental Health Centre and Psychiatric Laboratory, State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, 610041, China.,West China Brain Research Centre, West China Hospital, Sichuan University, Chengdu, 610041, China
| | - Xiaohong Ma
- Mental Health Centre and Psychiatric Laboratory, State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, 610041, China.,West China Brain Research Centre, West China Hospital, Sichuan University, Chengdu, 610041, China
| | - Qiang Wang
- Mental Health Centre and Psychiatric Laboratory, State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, 610041, China.,West China Brain Research Centre, West China Hospital, Sichuan University, Chengdu, 610041, China
| | - Wanjun Guo
- Mental Health Centre and Psychiatric Laboratory, State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, 610041, China.,West China Brain Research Centre, West China Hospital, Sichuan University, Chengdu, 610041, China
| | - Yinfei Li
- Mental Health Centre and Psychiatric Laboratory, State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, 610041, China.,West China Brain Research Centre, West China Hospital, Sichuan University, Chengdu, 610041, China
| | - Lijun Jiang
- Mental Health Centre and Psychiatric Laboratory, State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, 610041, China.,West China Brain Research Centre, West China Hospital, Sichuan University, Chengdu, 610041, China
| | - Xun Hu
- Huaxi Biobank, West China Hospital, Sichuan University, Chengdu, 610041, China
| | - Nanyin Zhang
- Department of Biomedical Engineering, Huck Institutes of the Life Sciences, The Pennsylvania State University, University Park, PA, 16802, USA.
| | - Tao Li
- Mental Health Centre and Psychiatric Laboratory, State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, 610041, China. .,West China Brain Research Centre, West China Hospital, Sichuan University, Chengdu, 610041, China.
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31
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Morozova A, Zorkina Y, Pavlov K, Pavlova O, Storozheva Z, Zubkov E, Zakharova N, Karpenko O, Reznik A, Chekhonin V, Kostyuk G. Association of rs4680 COMT, rs6280 DRD3, and rs7322347 5HT2A With Clinical Features of Youth-Onset Schizophrenia. Front Psychiatry 2019; 10:830. [PMID: 31798476 PMCID: PMC6863060 DOI: 10.3389/fpsyt.2019.00830] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/23/2019] [Accepted: 10/21/2019] [Indexed: 01/28/2023] Open
Abstract
We investigated the associations of rs4680 COMT, rs6280 DRD3, and rs7322347 5HT2A with youth-onset schizophrenia in the Russian population in a case-control study, and the role of the genotype in the severity of clinical features. The association between rs7322347 and schizophrenia (p = 0.0001) is described for the first time. Furthermore, we found a link with rs6280 and rs4680 in females (p = 0.001 and p = 0.02 respectively) and with rs7322347 in males (p = 0.002). Clinical symptoms were assessed on three scales: the Clinician-Rated Dimensions of Psychosis Symptom Severity scale, Positive and Negative Syndrome Scale, and Frontal Assessment Battery. Gender differences in clinical features are of particular interest. In our study we found gender differences in the severity of clinical features-higher scores for delusions (Positive and Negative Syndrome Scale and Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition) in males and higher scores for depression, delusions, somatic concern, motor retardation, poor attention were found in females.
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Affiliation(s)
- Anna Morozova
- Department Basic and Applied Neurobiology, V. Serbsky Federal Medical Research Centre of Psychiatry and Narcology, Moscow, Russia.,N.A. Alekseev Psychiatric Clinical Hospital № 1, Moscow, Russia
| | - Yana Zorkina
- Department Basic and Applied Neurobiology, V. Serbsky Federal Medical Research Centre of Psychiatry and Narcology, Moscow, Russia
| | - Konstantin Pavlov
- Department Basic and Applied Neurobiology, V. Serbsky Federal Medical Research Centre of Psychiatry and Narcology, Moscow, Russia
| | - Olga Pavlova
- Department Basic and Applied Neurobiology, V. Serbsky Federal Medical Research Centre of Psychiatry and Narcology, Moscow, Russia
| | - Zinaida Storozheva
- Department Basic and Applied Neurobiology, V. Serbsky Federal Medical Research Centre of Psychiatry and Narcology, Moscow, Russia
| | - Eugene Zubkov
- Department Basic and Applied Neurobiology, V. Serbsky Federal Medical Research Centre of Psychiatry and Narcology, Moscow, Russia
| | | | - Olga Karpenko
- N.A. Alekseev Psychiatric Clinical Hospital № 1, Moscow, Russia
| | | | - Vladimir Chekhonin
- Department Basic and Applied Neurobiology, V. Serbsky Federal Medical Research Centre of Psychiatry and Narcology, Moscow, Russia.,Department of Medical Nanobiotechnology, Pirogov Russian National Research Medical University, Moscow, Russia
| | - Georgiy Kostyuk
- N.A. Alekseev Psychiatric Clinical Hospital № 1, Moscow, Russia
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32
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Collin G, Keshavan MS. Connectome development and a novel extension to the neurodevelopmental model of schizophrenia. DIALOGUES IN CLINICAL NEUROSCIENCE 2018. [PMID: 30250387 PMCID: PMC6136123 DOI: 10.31887/dcns.2018.20.2/gcollin] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 01/05/2023]
Abstract
The brain is the ultimate adaptive system, a complex network organized across multiple levels of spatial and temporal resolution that is sculpted over several decades via its interactions with the environment. This review sets out to examine how fundamental biological processes in early and late neurodevelopment, in interaction with environmental inputs, guide the formation of the brain's network and its ongoing reorganization throughout the course of development. Moreover, we explore how disruptions in these processes could lead to abnormal brain network architecture and organization and thereby give rise to schizophrenia. Arguing that the neurodevelopmental trajectory leading up to the manifestation of psychosis may best be understood from the sequential trajectory of connectome formation and maturation, we propose a novel extension to the neurodevelopmental model of the illness that posits that schizophrenia is a disorder of connectome development.
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Affiliation(s)
- Guusje Collin
- Harvard Medical School at Beth Israel Deaconess Medical Center, Department of Psychiatry, Boston, Massachusetts, USA; Massachusetts Institute of Technology, Department of Brain and Cognitive Sciences, McGovern Institute for Brain Research, Cambridge, Massachusetts, USA
| | - Matcheri S Keshavan
- Massachusetts Institute of Technology, Department of Brain and Cognitive Sciences, McGovern Institute for Brain Research, Cambridge, Massachusetts, USA
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33
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Chen L, Selvendra A, Stewart A, Castle D. Risk factors in early and late onset schizophrenia. Compr Psychiatry 2018; 80:155-162. [PMID: 29096206 DOI: 10.1016/j.comppsych.2017.09.009] [Citation(s) in RCA: 48] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/12/2017] [Revised: 09/11/2017] [Accepted: 09/17/2017] [Indexed: 12/22/2022] Open
Abstract
BACKGROUND This study looks at key risk factors in patients with schizophrenia to identify trends according to age of onset, comparing presentations prior to 26years (youth onset), between 26 and 40years (middle onset), and after 40years of age (late onset). METHODS The early psychosis program at St Vincent's Hospital Melbourne treats patients presenting in the early stages of psychosis between 16 and 65years of age. A database was developed to capture key risk factors in all patients with an eventual diagnosis of schizophrenia (n=225). Risk factor profiles were then generated and compared for patients based on age of onset. RESULTS Older age of onset was associated with weaker family history of schizophrenia, lower rates of substance use, better early psychosocial functioning and higher educational achievement. Female preponderance and comorbid physical health problems were particularly notable in the late onset cohort. Later life schizophrenia also showed a relatively greater association with psychosocial factors proximal to psychosis onset, such as unemployment. DISCUSSION Clear trends are noticeable with age. Older patients have characteristic differences in their background risk factors compared to youth onset patients, including less hereditary influence and relatively more emphasis on later life risk factors. Identifying the roles of specific risk factors in these distinct age-onset groups can enhance our understanding of underlying aetiology and facilitate service development to meet the needs of each specific age group.
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Affiliation(s)
- Laura Chen
- Melbourne Medical School, The University of Melbourne, Parkville, Victoria, Australia
| | - Ajit Selvendra
- Melbourne Medical School, The University of Melbourne, Parkville, Victoria, Australia; Mental Health Service, St. Vincent's Hospital, Fitzroy, Victoria, Australia.
| | - Anne Stewart
- Melbourne Medical School, The University of Melbourne, Parkville, Victoria, Australia
| | - David Castle
- Melbourne Medical School, The University of Melbourne, Parkville, Victoria, Australia; Mental Health Service, St. Vincent's Hospital, Fitzroy, Victoria, Australia
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34
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Narla ST, Decker B, Sarder P, Stachowiak EK, Stachowiak MK. Induced Pluripotent Stem Cells Reveal Common Neurodevelopmental Genome Deprograming in Schizophrenia. Results Probl Cell Differ 2018; 66:137-162. [PMID: 30209658 DOI: 10.1007/978-3-319-93485-3_6] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/21/2023]
Abstract
Schizophrenia is a neurodevelopmental disorder characterized by complex aberrations in the structure, wiring, and chemistry of multiple neuronal systems. The abnormal developmental trajectory of the brain is established during gestation, long before clinical manifestation of the disease. Over 200 genes and even greater numbers of single nucleotide polymorphisms and copy number variations have been linked with schizophrenia. How does altered function of such a variety of genes lead to schizophrenia? We propose that the protein products of these altered genes converge on a common neurodevelopmental pathway responsible for the development of brain neural circuit and neurotransmitter systems. The results of a multichanneled investigation using induced pluripotent stem cell (iPSCs)- and embryonic stem cell (ESCs)-derived neuronal committed cells (NCCs) indicate an early (preneuronal) developmental-genomic etiology of schizophrenia and that the dysregulated developmental gene networks are common to genetically unrelated cases of schizophrenia. The results support a "watershed" mechanism in which mutations within diverse signaling pathways affect the common pan-ontogenic mechanism, integrative nuclear (n)FGFR1 signaling (INFS). Dysregulation of INFS in schizophrenia NCCs deconstructs coordinated gene networks and leads to formation of new networks by the dysregulated genes. This genome deprograming affects critical gene programs and pathways for neural development and functions. Studies show that the genomic deprograming reflect an altered nFGFR1-genome interactions and deregulation of miRNA genes by nFGFR1. In addition, changes in chromatin topology imposed by nFGFR1 may play a role in coordinate gene dysregulation in schizophrenia.
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Affiliation(s)
- Sridhar T Narla
- Department of Pathology and Anatomical Sciences, Molecular and Structural Neurobiology and Gene Therapy Program, State University of New York, Buffalo, NY, USA
| | - Brandon Decker
- Department of Pathology and Anatomical Sciences, Molecular and Structural Neurobiology and Gene Therapy Program, State University of New York, Buffalo, NY, USA
| | - Pinaki Sarder
- Department of Pathology and Anatomical Sciences, Molecular and Structural Neurobiology and Gene Therapy Program, State University of New York, Buffalo, NY, USA.,Department of Biomedical Engineering, State University of New York, Buffalo, NY, USA
| | - Ewa K Stachowiak
- Department of Pathology and Anatomical Sciences, Molecular and Structural Neurobiology and Gene Therapy Program, State University of New York, Buffalo, NY, USA.,Western New York Stem Cells Culture and Analysis Center, State University of New York, Buffalo, NY, USA
| | - Michal K Stachowiak
- Department of Pathology and Anatomical Sciences, Molecular and Structural Neurobiology and Gene Therapy Program, State University of New York, Buffalo, NY, USA. .,Department of Biomedical Engineering, State University of New York, Buffalo, NY, USA. .,Western New York Stem Cells Culture and Analysis Center, State University of New York, Buffalo, NY, USA.
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35
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Moreno-Samaniego L, Gaviria AM, Vilella E, Valero J, Labad A. Schizotypal traits and cognitive performance in siblings of patients with psychosis. Psychiatry Res 2017; 258:551-556. [PMID: 28958455 DOI: 10.1016/j.psychres.2017.09.007] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/27/2017] [Revised: 07/28/2017] [Accepted: 09/05/2017] [Indexed: 10/18/2022]
Abstract
INTRODUCTION Schizotypy has been proposed to be the expression of genetic vulnerability to schizophrenia. The available literature shows cognitive similarities between schizotypy and schizophrenia, with mildly impaired performance being associated with schizotypy. This study aims to determine the relationship between schizotypy and cognitive performance in siblings of patients with psychosis. METHODS Schizotypal features and cognitive performance on a neuropsychological battery were compared between 48 siblings of patients with psychosis and 44 healthy controls. The relationships between schizotypy and cognitive performance were analysed by controlling the condition of being a sibling. RESULTS Siblings showed poorer performance on vigilance/sustained attention (M = 37.6; SD = 7.1) and selective attention/interference control/working memory (M = 23.28; SD = 2.7) tasks. The variance in vigilance/sustained attention performance was explained, at 30%, by the interpersonal factor of schizotypy on the suspiciousness dimension and the condition of being a sibling. CONCLUSIONS Interpersonal features of schizotypy in siblings of patients with psychosis are associated with deficits in vigilance/sustained attention performance.
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Affiliation(s)
- L Moreno-Samaniego
- Hospital Universitari Institut Pere Mata. IISPV. Universitat Rovira i Virgili. CIBERSAM, Ctra. de l'Institut Pere Mata, s/n., Reus, 43206 Tarragona, Spain.
| | - Ana M Gaviria
- Universidad San Buenaventura, Faculty of Psychology, Carrera 56C No. 51-110 Office: 207-B Medellín, Antioquia, Colombia.
| | - E Vilella
- Hospital Universitari Institut Pere Mata. IISPV. Universitat Rovira i Virgili. CIBERSAM, Ctra. de l'Institut Pere Mata, s/n., Reus, 43206 Tarragona, Spain.
| | - J Valero
- Hospital Universitari Institut Pere Mata. IISPV. Universitat Rovira i Virgili. CIBERSAM, Ctra. de l'Institut Pere Mata, s/n., Reus, 43206 Tarragona, Spain.
| | - A Labad
- Hospital Universitari Institut Pere Mata. IISPV. Universitat Rovira i Virgili. CIBERSAM, Ctra. de l'Institut Pere Mata, s/n., Reus, 43206 Tarragona, Spain.
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Jablensky A, McNeil TF, Morgan VA. Barbara Fish and a Short History of the Neurodevelopmental Hypothesis of Schizophrenia. Schizophr Bull 2017; 43:1158-1163. [PMID: 29036635 PMCID: PMC5737550 DOI: 10.1093/schbul/sbx094] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
Abstract
The neurodevelopmental hypothesis of schizophrenia has become a paradigm broadly accepted in today's research in schizophrenia and its spectrum. This article traces the historical development of the neurodevelopmental hypothesis of schizophrenia up until the time of its explicit formulation in 1987, by Weinberger and by Murray and Lewis, with a main focus on the seminal contribution of Barbara Fish to its conception and elaboration.
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Affiliation(s)
- Assen Jablensky
- Centre for Clinical Research in Neuropsychiatry, Division of Psychiatry, The University of Western Australia, Perth, WA, Australia
| | - Thomas F McNeil
- Psychiatric Epidemiology Unit, Skånes University Hospital, Lund, Sweden,Neuropsychiatric Epidemiology Research Unit, Division of Psychiatry, The University of Western Australia, Perth, WA, Australia
| | - Vera A Morgan
- Centre for Clinical Research in Neuropsychiatry, Division of Psychiatry, The University of Western Australia, Perth, WA, Australia,Neuropsychiatric Epidemiology Research Unit, Division of Psychiatry, The University of Western Australia, Perth, WA, Australia,To whom correspondence should be addressed; Division of Psychiatry, The University of Western Australia, M571, Level 3, Medical Research Foundation Building, Rear 50 Murray Street, Perth WA 6000, Australia; tel: +61-8-9224-0235, fax: +61-8-9224-0285, e-mail:
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Morokuma Y, Endo K, Nishida A, Yamasaki S, Ando S, Morimoto Y, Nakanishi M, Okazaki Y, Furukawa TA, Morinobu S, Shimodera S. Sex differences in auditory verbal hallucinations in early, middle and late adolescence: results from a survey of 17 451 Japanese students aged 12-18 years. BMJ Open 2017; 7:e015239. [PMID: 28576898 PMCID: PMC5623384 DOI: 10.1136/bmjopen-2016-015239] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/05/2023] Open
Abstract
OBJECTIVES Women have higher rates of auditory verbal hallucinations (AVH) than men; however, less is known about sex differences in the prevalence of AVH in early, middle and late adolescence. We sought to elucidate the differences in the prevalence of AVH and to examine the degree to which these differences could be explained by differences in levels of depressive symptoms. DESIGN We used a cross-sectional design and a self-reported questionnaire. SETTING Participants were recruited from public junior and senior high schools in Tsu, Mie Prefecture and Kochi Prefecture, Japan. PARTICIPANTS In total, 19 436 students were contacted and 18 250 participated. Responses from 17 451 students with no missing data were analysed (aged 12-18 years, Mage=15.2 years (SD=1.7), 50.6% girls). MEASURES AVH were assessed through one of four items adopted from the schizophrenia section of the Japanese version of the Diagnostic Interview Schedule for Children. Depressive symptoms were assessed using the 12-item General Health Questionnaire. RESULTS The prevalence of AVH was 7.0% among early adolescents (aged 12-13 years), 6.2% among middle adolescents (aged 14-15 years) and 4.8% among late adolescents (aged 16-18 years). Being female was significantly associated with a higher prevalence of AVH through adolescence (OR=1.71, 95% CI 1.31 to 2.23 in early adolescence; OR=1.42, 95% CI 1.14 to 1.76 in middle adolescence; OR=1.52, 95% CI 1.23 to 1.87 in late adolescence); however, these differences became non-significant after adjusting for depressive symptoms (OR=1.21, 95% CI 0.92 to 1.60; OR=1.00, 95% CI 0.80 to 1.25; OR=1.16, 95% CI 0.93 to 1.44, respectively). CONCLUSIONS Sex differences in auditory hallucinations are seen in both adult and youth populations. The higher rates of auditory verbal hallucinations seen in girls may be secondary to the differences in the rate of depressive symptoms.
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Affiliation(s)
- Yoko Morokuma
- Department of Neuropsychiatry, Kochi Medical School, Kochi University, Kochi, Japan
| | - Kaori Endo
- Department of Psychiatry and Behavioral Science, Tokyo Metropolitan Institute of Medical Science, Tokyo, Japan
| | - Atushi Nishida
- Department of Psychiatry and Behavioral Science, Tokyo Metropolitan Institute of Medical Science, Tokyo, Japan
| | - Syudo Yamasaki
- Department of Psychiatry and Behavioral Science, Tokyo Metropolitan Institute of Medical Science, Tokyo, Japan
| | - Shuntaro Ando
- Department of Psychiatry and Behavioral Science, Tokyo Metropolitan Institute of Medical Science, Tokyo, Japan
- Department of Neuropsychiatry, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
| | - Yuko Morimoto
- Department of Psychiatry and Behavioral Science, Tokyo Metropolitan Institute of Medical Science, Tokyo, Japan
| | - Miharu Nakanishi
- Department of Psychiatry and Behavioral Science, Tokyo Metropolitan Institute of Medical Science, Tokyo, Japan
| | | | - Toshi A Furukawa
- Department of Health Promotion and Human Behavior, Graduate School of Medicine and School of Public Health, Kyoto University, Kyoto, Japan
| | - Shigeru Morinobu
- Department of Neuropsychiatry, Kochi Medical School, Kochi University, Kochi, Japan
| | - Shinji Shimodera
- Department of Neuropsychiatry, Kochi Medical School, Kochi University, Kochi, Japan
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Metabolic abnormality in the right dorsolateral prefrontal cortex in patients with obsessive-compulsive disorder: proton magnetic resonance spectroscopy. Acta Neuropsychiatr 2017; 29:164-169. [PMID: 27748207 DOI: 10.1017/neu.2016.48] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
OBJECTIVE Proton magnetic resonance spectroscopy (1H-MRS) was used to evaluate metabolic changes in the dorsolateral prefrontal cortex (DLPFC) in patients with obsessive-compulsive disorder (OCD). METHODS In total, 14 OCD patients (mean age 28.9±7.2 years) and 14 healthy controls (mean age 32.6±7.1 years) with no history of neurological and psychiatric illness participated in this study. Brain metabolite concentrations were measured from a localised voxel on the right DLPFC using a 3-Tesla 1H-MRS. RESULTS The metabolic concentration of myo-inositol in patients with OCD increased significantly by 52% compared with the healthy controls, whereas glutamine/glutamate was decreased by 11%. However, there were no significant differences in N-acetylaspartate, choline, lactate and lipid between the two groups. CONCLUSION These findings would be helpful to understand the pathophysiology of OCD associated with the brain metabolic abnormalities in the right DLPFC.
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39
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The "polyenviromic risk score": Aggregating environmental risk factors predicts conversion to psychosis in familial high-risk subjects. Schizophr Res 2017; 181:17-22. [PMID: 28029515 PMCID: PMC5365360 DOI: 10.1016/j.schres.2016.10.014] [Citation(s) in RCA: 55] [Impact Index Per Article: 7.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/30/2016] [Revised: 10/05/2016] [Accepted: 10/09/2016] [Indexed: 01/21/2023]
Abstract
BACKGROUND Young relatives of individuals with schizophrenia (i.e. youth at familial high-risk, FHR) are at increased risk of developing psychotic disorders, and show higher rates of psychiatric symptoms, cognitive and neurobiological abnormalities than non-relatives. It is not known whether overall exposure to environmental risk factors increases risk of conversion to psychosis in FHR subjects. METHODS Subjects consisted of a pilot longitudinal sample of 83 young FHR subjects. As a proof of principle, we examined whether an aggregate score of exposure to environmental risk factors, which we term a 'polyenviromic risk score' (PERS), could predict conversion to psychosis. The PERS combines known environmental risk factors including cannabis use, urbanicity, season of birth, paternal age, obstetric and perinatal complications, and various types of childhood adversity, each weighted by its odds ratio for association with psychosis in the literature. RESULTS A higher PERS was significantly associated with conversion to psychosis in young, familial high-risk subjects (OR=1.97, p=0.009). A model combining the PERS and clinical predictors had a sensitivity of 27% and specificity of 96%. CONCLUSION An aggregate index of environmental risk may help predict conversion to psychosis in FHR subjects.
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de Leede-Smith S, Roodenrys S, Horsley L, Matrini S, Mison E, Barkus E. Neurological soft signs: Effects of trait schizotypy, psychological distress and auditory hallucination predisposition. SCHIZOPHRENIA RESEARCH-COGNITION 2016; 7:1-7. [PMID: 28740822 PMCID: PMC5514310 DOI: 10.1016/j.scog.2016.11.001] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/17/2016] [Revised: 11/07/2016] [Accepted: 11/08/2016] [Indexed: 10/31/2022]
Abstract
Schizotypy is regarded as a trait vulnerability for psychotic disorders, yet alone is insufficient for development of a diagnosable disorder. Additional symptoms and psychological distress are necessary for help seeking and transition from an at risk mental state to a clinical diagnosis. The present study investigated the interaction between trait schizotypy, state auditory verbal hallucination (AVH) predisposition, distress and handedness for the expression of neurological soft signs (NSS), a neurodevelopmental vulnerability factor for psychosis. Cluster analysis formed schizotypy groups statistically across the dimensions captured by the SPQ. It was hypothesized that schizotypy and AVH predisposition would interact, resulting in significantly greater NSS. Psychological distress and handedness were hypothesized to be significant covariates, accounting for some variance in the expression of NSS between the groups. A sample of University students (n = 327) completed the Schizotypal Personality Questionnaire, Launay-Slade Hallucination Scale, General Health Questionnaire and the Neurological Evaluation Scale (NES). Cluster Analysis revealed four schizotypy groups. Distress was not a significant covariate in any analysis. As expected, those with high overall schizotypy and high AVH predisposition expressed significantly greater Motor-Coordination NSS compared to those with high schizotypy and low AVH predisposition. Within the Mixed Interpersonal and Cognitive-Perceptual Schizotypy cluster, those with low AVH predisposition expressed significantly more Motor-Coordination NSS than those with high AVH predisposition. These findings suggest motor coordination NSS are detectable in schizotypy, and AVH predisposition appears to interact with these traits. This study highlights the importance of considering both trait and subclinical state risk factors when investigating risk for psychosis.
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Affiliation(s)
- Saskia de Leede-Smith
- School of Psychology, Faculty of Social Sciences, University of Wollongong, NSW 2522, Australia
| | - Steven Roodenrys
- School of Psychology, Faculty of Social Sciences, University of Wollongong, NSW 2522, Australia
| | - Lauren Horsley
- School of Psychology, Faculty of Social Sciences, University of Wollongong, NSW 2522, Australia
| | - Shannen Matrini
- School of Psychology, Faculty of Social Sciences, University of Wollongong, NSW 2522, Australia
| | - Erin Mison
- School of Psychology, Faculty of Social Sciences, University of Wollongong, NSW 2522, Australia
| | - Emma Barkus
- School of Psychology, Faculty of Social Sciences, University of Wollongong, NSW 2522, Australia
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Brenhouse HC, Schwarz JM. Immunoadolescence: Neuroimmune development and adolescent behavior. Neurosci Biobehav Rev 2016; 70:288-299. [PMID: 27260127 PMCID: PMC5412135 DOI: 10.1016/j.neubiorev.2016.05.035] [Citation(s) in RCA: 90] [Impact Index Per Article: 11.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/26/2016] [Revised: 05/27/2016] [Accepted: 05/30/2016] [Indexed: 12/17/2022]
Abstract
The brain is increasingly appreciated to be a constantly rewired organ that yields age-specific behaviors and responses to the environment. Adolescence in particular is a unique period characterized by continued brain maturation, superimposed with transient needs of the organism to traverse a leap from parental dependence to independence. Here we describe how these needs require immune maturation, as well as brain maturation. Our immune system, which protects us from pathogens and regulates inflammation, is in constant communication with our nervous system. Together, neuro-immune signaling regulates our behavioral responses to the environment, making this interaction a likely substrate for adolescent development. We review here the identified as well as understudied components of neuro-immune interactions during adolescence. Synaptic pruning, neurite outgrowth, and neurotransmitter release during adolescence all regulate-and are regulated by-immune signals, which occur via blood-brain barrier dynamics and glial activity. We discuss these processes, as well as how immune signaling during this transitional period of development confers differential effects on behavior and vulnerability to mental illness.
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Affiliation(s)
- Heather C Brenhouse
- Northeastern University, Psychology Department, 125 Nightingale Hall, Boston, MA 02115, United States.
| | - Jaclyn M Schwarz
- University of Delaware, Department of Psychological and Brain Sciences, 108 Wolf Hall, Newark, DE 19716, United States
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Manoach DS, Pan JQ, Purcell SM, Stickgold R. Reduced Sleep Spindles in Schizophrenia: A Treatable Endophenotype That Links Risk Genes to Impaired Cognition? Biol Psychiatry 2016; 80:599-608. [PMID: 26602589 PMCID: PMC4833702 DOI: 10.1016/j.biopsych.2015.10.003] [Citation(s) in RCA: 132] [Impact Index Per Article: 16.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/13/2015] [Revised: 09/18/2015] [Accepted: 10/05/2015] [Indexed: 11/26/2022]
Abstract
Although schizophrenia (SZ) is defined by waking phenomena, abnormal sleep is a common feature. In particular, there is accumulating evidence of a sleep spindle deficit. Sleep spindles, a defining thalamocortical oscillation of non-rapid eye movement stage 2 sleep, correlate with IQ and are thought to promote long-term potentiation and enhance memory consolidation. We review evidence that reduced spindle activity in SZ is an endophenotype that impairs sleep-dependent memory consolidation, contributes to symptoms, and is a novel treatment biomarker. Studies showing that spindles can be pharmacologically enhanced in SZ and that increasing spindles improves memory in healthy individuals suggest that treating spindle deficits in patients with SZ may improve cognition. Spindle activity is highly heritable, and recent large-scale genome-wide association studies have identified SZ risk genes that may contribute to spindle deficits and illuminate their mechanisms. For example, the SZ risk gene CACNA1I encodes a calcium channel that is abundantly expressed in the thalamic spindle generator and plays a critical role in spindle activity based on a mouse knockout. Future genetic studies of animals and humans can delineate the role of this and other genes in spindles. Such cross-disciplinary research, by forging empirical links in causal chains from risk genes to proteins and cellular functions to endophenotypes, cognitive impairments, symptoms, and diagnosis, has the potential to advance the mechanistic understanding, treatment, and prevention of SZ. This review highlights the importance of deficient sleep-dependent memory consolidation among the cognitive deficits of SZ and implicates reduced sleep spindles as a potentially treatable mechanism.
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Affiliation(s)
- Dara S. Manoach
- Department of Psychiatry and Psychiatric and Neurodevelopmental Genetics Unit, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02215, USA,Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA 02129, USA,Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, Massachusetts 02142, USA
| | - Jen Q. Pan
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, Massachusetts 02142, USA
| | - Shaun M. Purcell
- Analytic and Translational Genetics Unit, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02215, USA,Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, Massachusetts 02142, USA,Division of Psychiatric Genomics, Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, New York 10029, USA
| | - Robert Stickgold
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, Massachusetts 02142, USA,Department of Psychiatry, Beth Israel Deaconess Medical Center, Boston, MA 02215 Harvard Medical School, Boston, MA, 02215
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Gene × Environment Interactions in Schizophrenia: Evidence from Genetic Mouse Models. Neural Plast 2016; 2016:2173748. [PMID: 27725886 PMCID: PMC5048038 DOI: 10.1155/2016/2173748] [Citation(s) in RCA: 28] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/27/2016] [Revised: 07/20/2016] [Accepted: 08/21/2016] [Indexed: 02/06/2023] Open
Abstract
The study of gene × environment, as well as epistatic interactions in schizophrenia, has provided important insight into the complex etiopathologic basis of schizophrenia. It has also increased our understanding of the role of susceptibility genes in the disorder and is an important consideration as we seek to translate genetic advances into novel antipsychotic treatment targets. This review summarises data arising from research involving the modelling of gene × environment interactions in schizophrenia using preclinical genetic models. Evidence for synergistic effects on the expression of schizophrenia-relevant endophenotypes will be discussed. It is proposed that valid and multifactorial preclinical models are important tools for identifying critical areas, as well as underlying mechanisms, of convergence of genetic and environmental risk factors, and their interaction in schizophrenia.
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Debbané M, Salaminios G, Luyten P, Badoud D, Armando M, Solida Tozzi A, Fonagy P, Brent BK. Attachment, Neurobiology, and Mentalizing along the Psychosis Continuum. Front Hum Neurosci 2016; 10:406. [PMID: 27597820 PMCID: PMC4992687 DOI: 10.3389/fnhum.2016.00406] [Citation(s) in RCA: 65] [Impact Index Per Article: 8.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2016] [Accepted: 08/02/2016] [Indexed: 11/22/2022] Open
Abstract
In this review article, we outline the evidence linking attachment adversity to psychosis, from the premorbid stages of the disorder to its clinical forms. To better understand the neurobiological mechanisms through which insecure attachment may contribute to psychosis, we identify at least five neurobiological pathways linking attachment to risk for developing psychosis. Besides its well documented influence on the hypothalamic-pituary-adrenal (HPA) axis, insecure attachment may also contribute to neurodevelopmental risk through the dopaminergic and oxytonergic systems, as well as bear influence on neuroinflammation and oxidative stress responses. We further consider the neuroscientific and behavioral studies that underpin mentalization as a suite of processes potentially moderating the risk to transition to psychotic disorders. In particular, mentalization may help the individual compensate for endophenotypical impairments in the integration of sensory and metacognitive information. We propose a model where embodied mentalization would lie at the core of a protective, resilience response mitigating the adverse and potentially pathological influence of the neurodevelopmental cascade of risk for psychosis.
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Affiliation(s)
- Martin Debbané
- Faculty of Psychology and Educational Sciences, University of GenevaGeneva, Switzerland
- Research Department of Clinical, Educational and Health Psychology, University College LondonLondon, UK
- Office Médico-PédagogiqueGeneva, Switzerland
| | - George Salaminios
- Research Department of Clinical, Educational and Health Psychology, University College LondonLondon, UK
| | - Patrick Luyten
- Research Department of Clinical, Educational and Health Psychology, University College LondonLondon, UK
- Faculty of Psychology and Educational Sciences, University of LeuvenLeuven, Belgium
| | - Deborah Badoud
- Faculty of Psychology and Educational Sciences, University of GenevaGeneva, Switzerland
| | | | | | - Peter Fonagy
- Research Department of Clinical, Educational and Health Psychology, University College LondonLondon, UK
| | - Benjamin K. Brent
- Department of Psychiatry, Massachusetts General Hospital, Harvard Medical SchoolBoston, MA, USA
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Abstract
Schizophrenia is a serious psychiatric illness which is experienced by about 1 % of individuals worldwide and has a debilitating impact on perception, cognition, and social function. Over the years, several models/hypotheses have been developed which link schizophrenia to dysregulations of the dopamine, glutamate, and serotonin receptor pathways. An important segment of these pathways that have been extensively studied for the pathophysiology of schizophrenia is the presynaptic neurotransmitter release mechanism. This set of molecular events is an evolutionarily well-conserved process that involves vesicle recruitment, docking, membrane fusion, and recycling, leading to efficient neurotransmitter delivery at the synapse. Accumulated evidence indicate dysregulation of this mechanism impacting postsynaptic signal transduction via different neurotransmitters in key brain regions implicated in schizophrenia. In recent years, after ground-breaking work that elucidated the operations of this mechanism, research efforts have focused on the alterations in the messenger RNA (mRNA) and protein expression of presynaptic neurotransmitter release molecules in schizophrenia and other neuropsychiatric conditions. In this review article, we present recent evidence from schizophrenia human postmortem studies that key proteins involved in the presynaptic release mechanism are dysregulated in the disorder. We also discuss the potential impact of dysfunctional presynaptic neurotransmitter release on the various neurotransmitter systems implicated in schizophrenia.
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Affiliation(s)
- Chijioke N Egbujo
- Department of Psychiatry, University of Pennsylvania, Philadelphia, PA, USA
| | - Duncan Sinclair
- Neuroscience Research Australia, Barker St, Randwick, NSW, 2031, Australia
| | - Chang-Gyu Hahn
- Department of Psychiatry, University of Pennsylvania, Philadelphia, PA, USA.
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Zhang XY, Tan YL, Chen DC, Tan SP, Yang FD, Wu HE, Zunta-Soares GB, Huang XF, Kosten TR, Soares JC. Interaction of BDNF with cytokines in chronic schizophrenia. Brain Behav Immun 2016; 51:169-175. [PMID: 26407757 DOI: 10.1016/j.bbi.2015.09.014] [Citation(s) in RCA: 59] [Impact Index Per Article: 7.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/23/2015] [Revised: 09/21/2015] [Accepted: 09/22/2015] [Indexed: 02/08/2023] Open
Abstract
Brain-derived neurotrophic factor (BDNF) interacts with cytokines. Although both BDNF and cytokines occur at abnormal levels in schizophrenia patients, their interactions have not yet been examined. We therefore compared serum BDNF, TNF-α, interleukin (IL)-2, IL-6, and IL-8 levels in 92 chronically medicated schizophrenia patients and 60 healthy controls. We correlated these serum levels within these subject groups with each other and with clinical symptoms assessed according to the Positive and Negative Syndrome Scale (PANSS). Compared to the control group, the schizophrenia patients had significantly lower BDNF and TNF-α levels, and higher IL-2, IL-6, and IL-8 levels. The patients also showed a significant positive correlation between BDNF and both IL-2 and IL-8 levels, and low BDNF and TNF-α levels together were associated with poor performance on the PANSS cognitive factor. Thus, an interaction between cytokines and neurotrophic factors may be implicated in the pathophysiology of chronic schizophrenia. In particular, the cytokine TNF-α may interact with BNDF causing cognitive impairment.
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Affiliation(s)
- Xiang Yang Zhang
- Psychiatry Research Center, Beijing HuiLongGuan Hospital, Peking University, Beijing, China; Department of Psychiatry and Behavioral Sciences, The University of Texas Health Science Center at Houston, Houston, TX, USA.
| | - Yun-Long Tan
- Psychiatry Research Center, Beijing HuiLongGuan Hospital, Peking University, Beijing, China
| | - Da-Chun Chen
- Psychiatry Research Center, Beijing HuiLongGuan Hospital, Peking University, Beijing, China
| | - Shu-Ping Tan
- Psychiatry Research Center, Beijing HuiLongGuan Hospital, Peking University, Beijing, China
| | - Fu-De Yang
- Psychiatry Research Center, Beijing HuiLongGuan Hospital, Peking University, Beijing, China
| | - Hanjing Emily Wu
- Department of Psychiatry and Behavioral Sciences, The University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Giovana B Zunta-Soares
- Department of Psychiatry and Behavioral Sciences, The University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Xu-Feng Huang
- Centre for Translational Neuroscience, School of Medicine, University of Wollongong, and Illawarra Health and Medical Research Institute, NSW, Australia
| | - Thomas R Kosten
- Department of Psychiatry and Behavioral Sciences, Baylor College of Medicine, Houston, TX, USA
| | - Jair C Soares
- Department of Psychiatry and Behavioral Sciences, The University of Texas Health Science Center at Houston, Houston, TX, USA
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Mendrek A, Mancini-Marïe A. Sex/gender differences in the brain and cognition in schizophrenia. Neurosci Biobehav Rev 2015; 67:57-78. [PMID: 26743859 DOI: 10.1016/j.neubiorev.2015.10.013] [Citation(s) in RCA: 175] [Impact Index Per Article: 19.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/30/2015] [Revised: 10/17/2015] [Accepted: 10/26/2015] [Indexed: 01/03/2023]
Abstract
The early conceptualizations of schizophrenia have noted some sex/gender differences in epidemiology and clinical expression of the disorder. Over the past few decades, the interest in differences between male and female patients has expanded to encompass brain morphology and neurocognitive function. Despite some variability and methodological shortcomings, a few patterns emerge from the available literature. Most studies of gross neuroanatomy show more enlarged ventricles and smaller frontal lobes in men than in women with schizophrenia; finding reflecting normal sexual dimorphism. In comparison, studies of brain asymmetry and specific corticolimbic structures, suggest a disturbance in normal sexual dimorphism. The neurocognitive findings are somewhat consistent with this picture. Studies of cognitive functions mediated by the lateral frontal network tend to show sex differences in patients which are in the same direction as those observed in the general population, whereas studies of processes mediated by the corticolimbic system more frequently reveal reversal of normal sexual dimorphisms. These trends are faint and future research would need to delineate neurocognitive differences between men and women with various subtypes of schizophrenia (e.g., early versus late onset), while taking into consideration hormonal status and gender of tested participants.
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Affiliation(s)
- Adrianna Mendrek
- Department of Psychology, Bishop's University, Sherbrooke, QC, Canada; Department of Psychiatry, Université de Montréal, Montreal, QC, Canada; Centre de recherche de l'Institut Universitaire en Santé Mentale de Montréal, Montreal, QC, Canada.
| | - Adham Mancini-Marïe
- Department of Psychiatry, Université de Montréal, Montreal, QC, Canada; Centre de recherche de l'Institut Universitaire en Santé Mentale de Montréal, Montreal, QC, Canada; Department of Psychiatry, Centre neuchâtelois de psychiatrie, Neuchâtel, Suisse
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Smesny S, Gussew A, Biesel NJ, Schack S, Walther M, Rzanny R, Milleit B, Gaser C, Sobanski T, Schultz CC, Amminger P, Hipler UC, Sauer H, Reichenbach JR. Glutamatergic dysfunction linked to energy and membrane lipid metabolism in frontal and anterior cingulate cortices of never treated first-episode schizophrenia patients. Schizophr Res 2015; 168:322-9. [PMID: 26255566 DOI: 10.1016/j.schres.2015.07.013] [Citation(s) in RCA: 35] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/08/2015] [Revised: 06/10/2015] [Accepted: 07/06/2015] [Indexed: 12/22/2022]
Abstract
BACKGROUND Glutamatergic dysfunction and altered membrane lipid and energy metabolism have been repeatedly demonstrated in the frontal/prefrontal and anterior cingulate cortex (ACC) in schizophrenia. Though having been already studied in animals, the presumed link between glutamatergic function and structural plasticity has not been investigated directly in the human brain yet. We measured glutamate (Glu), focal energy metabolism, and membrane phospholipid turnover to investigate main pathologies in those key brain regions of schizophrenia. METHODS (1)H- and (31)P-Chemical Shift Imaging (CSI) was combined in a single session to assess Glu and markers of energy (PCr, ATP) and membrane lipid (PME, PDE) metabolism in 31 neuroleptic-naïve first acute onset psychosis patients and 31 matched healthy controls. Multivariate analyses of covariance were used to assess disease effects on Glu and to investigate the impact of Glu alterations on phospholipid and energy metabolites. RESULTS Glu levels of patients were increased in the frontal and prefrontal cortex bilaterally and in the ACC. Higher Glu was associated with increased left frontal/prefrontal PME and right frontal/prefrontal PDE in patients, which was not observed in healthy controls. In contrast, higher Glu levels were associated with lower PCr or ATP values in the frontal/prefrontal cortex bilaterally and in the right ACC of controls. This was not observed in the right ACC and left frontal/prefrontal cortex of patients. CONCLUSION Frontal glutamatergic hyperactivity is disconnected from physiologically regulated energy metabolism and is associated with increased membrane breakdown in right and increased membrane restoration in left frontal and prefrontal cortical regions. As indicated by previous findings, this pathology is likely dynamic during the course of first acute illness and possibly associated with negative symptoms and cognitive impairment. Our findings underline the importance of further research on neuroprotective treatment options during the early acute or even better for the ultra-high risk state of psychotic illness.
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Affiliation(s)
- Stefan Smesny
- Department of Psychiatry, Jena University Hospital, Philosophenweg 3, D-07743 Jena, Germany.
| | - Alexander Gussew
- Medical Physics Group, Department of Diagnostic and Interventional Radiology, Jena University Hospital, Philosophenweg 3, D-07740 Jena, Germany
| | - Natalie Joan Biesel
- Department of Psychiatry, Jena University Hospital, Philosophenweg 3, D-07743 Jena, Germany
| | - Stephan Schack
- Department of Psychiatry, Jena University Hospital, Philosophenweg 3, D-07743 Jena, Germany
| | - Mario Walther
- Institute of Medical Statistics, Computer Sciences and Documentation (IMSID), Jena University Hospital, Friedrich-Schiller University Jena, Bachstraße 18, D-07743 Jena, Germany
| | - Reinhard Rzanny
- Medical Physics Group, Department of Diagnostic and Interventional Radiology, Jena University Hospital, Philosophenweg 3, D-07740 Jena, Germany
| | - Berko Milleit
- Department of Psychiatry, Jena University Hospital, Philosophenweg 3, D-07743 Jena, Germany; Department of Psychiatry, Thüringen-Kliniken "Georgius Agricola" GmbH Rainweg 68, D-07318 Saalfeld/Saale, Germany
| | - Christian Gaser
- Department of Psychiatry, Jena University Hospital, Philosophenweg 3, D-07743 Jena, Germany
| | - Thomas Sobanski
- Department of Psychiatry, Thüringen-Kliniken "Georgius Agricola" GmbH Rainweg 68, D-07318 Saalfeld/Saale, Germany
| | - Carl Christoph Schultz
- Department of Psychiatry, Jena University Hospital, Philosophenweg 3, D-07743 Jena, Germany
| | - Paul Amminger
- Department of Child and Adolescent Psychiatry, Medical University Vienna, Währingergürtel 18-20, A-1090 Vienna, Austria; Orygen Youth Health Research Centre, The University of Melbourne, Locked Bag 10, 35 Poplar Road Parkville, Victoria 3052, Melbourne, Australia
| | - Uta-Christina Hipler
- Department of Dermatology, Jena University Hospital, Erfurter Straße 35, D-07743 Jena, Germany
| | - Heinrich Sauer
- Department of Psychiatry, Jena University Hospital, Philosophenweg 3, D-07743 Jena, Germany
| | - Jürgen R Reichenbach
- Medical Physics Group, Department of Diagnostic and Interventional Radiology, Jena University Hospital, Philosophenweg 3, D-07740 Jena, Germany
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Kapelski P, Skibinska M, Maciukiewicz M, Pawlak J, Permoda-Osip A, Twarowska-Hauser J. Family-based association study of interleukin 6 (IL6) and its receptor (IL6R) functional polymorphisms in schizophrenia in the Polish population. J Neuroimmunol 2015. [DOI: 10.1016/j.jneuroim.2014.09.019] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
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