1
|
Iliuta FP, Manea MC, Teodorescu A, Lacau RM, Manea M, Mares AM, Varlam CI, Ciobanu CA, Ciobanu AM. Predictive factors and symptom severity spectrum in adult schizophrenia: Potential insights for improved management and adequate care. Biomed Rep 2024; 21:132. [PMID: 39114301 PMCID: PMC11304515 DOI: 10.3892/br.2024.1820] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2024] [Accepted: 07/04/2024] [Indexed: 08/10/2024] Open
Abstract
Schizophrenia is one of the most disabling psychiatric disorders characterized by positive (hallucinations, delusions, formal thinking disorder) and negative symptoms (anhedonia, lack of speech and motivation). The present study aimed to identify the predictive factors of schizophrenia in adults, and potential differences in the environment of origin, sex, levels of occupational stress, intellectual level, marital status and age of onset of the disease depending on the severity of symptoms using analysis of data collected from 120 patients with a diagnosis of schizophrenia. The study was conducted at the 'Prof. Dr. Alexandru Obregia' Clinical Psychiatric Hospital in Bucharest and included adult patients hospitalized between March 2018 and January 2021 diagnosed with schizophrenia and evaluated by general clinical examination, psychiatric, neurological and psychological evaluation. Results revealed that robust predictors of mild and moderate symptoms were affective symptoms, heredo-collateral history of schizophrenia, late onset, the presence of positive and negative symptoms, substance abuse, stress and marital status, unmarried, lower IQ and mental deficiency. For moderate-severe and severe symptoms, predictors were affective symptoms, heredo-collateral history of schizophrenia and affective disorders, substance abuse, stress, borderline IQ and mild mental deficiency. The present results can be used for further development of psychopharmacological management of schizophrenia.
Collapse
Affiliation(s)
- Floris Petru Iliuta
- Department of Psychiatry and Psychology, Faculty of Dental Medicine, ‘Carol Davila’ University of Medicine and Pharmacy, Bucharest 010221, Romania
| | - Mihnea Costin Manea
- Department of Psychiatry and Psychology, Faculty of Dental Medicine, ‘Carol Davila’ University of Medicine and Pharmacy, Bucharest 010221, Romania
| | - Andreea Teodorescu
- Faculty of Medicine, Transilvania University of Brasov, Brasov 500019, Romania
| | - Radu-Mihail Lacau
- Department of Psychiatry, ‘Prof. Dr. Alexandru Obregia’ Clinical Hospital of Psychiatry, Bucharest 041914, Romania
| | - Mirela Manea
- Department of Psychiatry and Psychology, Faculty of Dental Medicine, ‘Carol Davila’ University of Medicine and Pharmacy, Bucharest 010221, Romania
| | - Aliss Madalina Mares
- Department of Psychiatry, ‘Prof. Dr. Alexandru Obregia’ Clinical Hospital of Psychiatry, Bucharest 041914, Romania
| | - Corina Ioana Varlam
- Department of Psychiatry, ‘Prof. Dr. Alexandru Obregia’ Clinical Hospital of Psychiatry, Bucharest 041914, Romania
| | | | - Adela Magdalena Ciobanu
- Department of Neurosciences, Discipline of Psychiatry, ‘Carol Davila’ University of Medicine and Pharmacy, Bucharest 050474, Romania
| |
Collapse
|
2
|
Herrera-Imbroda J, Flores-López M, Ruiz-Sastre P, Gómez-Sánchez-Lafuente C, Bordallo-Aragón A, Rodríguez de Fonseca F, Mayoral-Cleríes F. The Inflammatory Signals Associated with Psychosis: Impact of Comorbid Drug Abuse. Biomedicines 2023; 11:biomedicines11020454. [PMID: 36830990 PMCID: PMC9953424 DOI: 10.3390/biomedicines11020454] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/29/2022] [Revised: 01/27/2023] [Accepted: 02/01/2023] [Indexed: 02/08/2023] Open
Abstract
Psychosis and substance use disorders are two diagnostic categories whose association has been studied for decades. In addition, both psychosis spectrum disorders and drug abuse have recently been linked to multiple pro-inflammatory changes in the central nervous system. We have carried out a narrative review of the literature through a holistic approach. We used PubMed as our search engine. We included in the review all relevant studies looking at pro-inflammatory changes in psychotic disorders and substance use disorders. We found that there are multiple studies that relate various pro-inflammatory lipids and proteins with psychosis and substance use disorders, with an overlap between the two. The main findings involve inflammatory mediators such as cytokines, chemokines, endocannabinoids, eicosanoids, lysophospholipds and/or bacterial products. Many of these findings are present in different phases of psychosis and in substance use disorders such as cannabis, cocaine, methamphetamines, alcohol and nicotine. Psychosis and substance use disorders may have a common origin in an abnormal neurodevelopment caused, among other factors, by a neuroinflammatory process. A possible convergent pathway is that which interrelates the transcriptional factors NFκB and PPARγ. This may have future clinical implications.
Collapse
Affiliation(s)
- Jesús Herrera-Imbroda
- Unidad de Gestión Clínica de Salud Mental, Instituto de Investigación Biomédica de Málaga (IBIMA), Hospital Regional Universitario de Málaga, 29010 Málaga, Spain
- Facultad de Medicina, Universidad de Málaga, Andalucía Tech, Campus de Teatinos s/n, 29071 Málaga, Spain
- Departamento de Farmacología y Pediatría, Universidad de Málaga, Andalucía Tech, Campus de Teatinos s/n, 29071 Málaga, Spain
| | - María Flores-López
- Unidad de Gestión Clínica de Salud Mental, Instituto de Investigación Biomédica de Málaga (IBIMA), Hospital Regional Universitario de Málaga, 29010 Málaga, Spain
- Facultad de Psicología, Universidad de Málaga, Andalucía Tech, Campus de Teatinos s/n, 29071 Málaga, Spain
| | - Paloma Ruiz-Sastre
- Unidad de Gestión Clínica de Salud Mental, Instituto de Investigación Biomédica de Málaga (IBIMA), Hospital Regional Universitario de Málaga, 29010 Málaga, Spain
- Facultad de Medicina, Universidad de Málaga, Andalucía Tech, Campus de Teatinos s/n, 29071 Málaga, Spain
- Correspondence: (P.R.-S.); (C.G.-S.-L.)
| | - Carlos Gómez-Sánchez-Lafuente
- Unidad de Gestión Clínica de Salud Mental, Instituto de Investigación Biomédica de Málaga (IBIMA), Hospital Regional Universitario de Málaga, 29010 Málaga, Spain
- Facultad de Psicología, Universidad de Málaga, Andalucía Tech, Campus de Teatinos s/n, 29071 Málaga, Spain
- Correspondence: (P.R.-S.); (C.G.-S.-L.)
| | - Antonio Bordallo-Aragón
- Unidad de Gestión Clínica de Salud Mental, Instituto de Investigación Biomédica de Málaga (IBIMA), Hospital Regional Universitario de Málaga, 29010 Málaga, Spain
| | - Fernando Rodríguez de Fonseca
- Unidad de Gestión Clínica de Salud Mental, Instituto de Investigación Biomédica de Málaga (IBIMA), Hospital Regional Universitario de Málaga, 29010 Málaga, Spain
| | - Fermín Mayoral-Cleríes
- Unidad de Gestión Clínica de Salud Mental, Instituto de Investigación Biomédica de Málaga (IBIMA), Hospital Regional Universitario de Málaga, 29010 Málaga, Spain
| |
Collapse
|
3
|
Early magnetic resonance imaging biomarkers of schizophrenia spectrum disorders: Toward a fetal imaging perspective. Dev Psychopathol 2021; 33:899-913. [PMID: 32489161 DOI: 10.1017/s0954579420000218] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
Abstract
There is mounting evidence to implicate the intrauterine environment as the initial pathogenic stage for neuropsychiatric disease. Recent developments in magnetic resonance imaging technology are making a multimodal analysis of the fetal central nervous system a reality, allowing analysis of structural and functional parameters. Exposures to a range of pertinent risk factors whether preconception or in utero can now be indexed using imaging techniques within the fetus' physiological environment. This approach may determine the first "hit" required for diseases that do not become clinically manifest until adulthood, and which only have subtle clinical markers during childhood and adolescence. A robust characterization of a "multi-hit" hypothesis may necessitate a longitudinal birth cohort; within this investigative paradigm, the full range of genetic and environmental risk factors can be assessed for their impact on the early developing brain. This will lay the foundation for the identification of novel biomarkers and the ability to devise methods for early risk stratification and disease prevention. However, these early markers must be followed over time: first, to account for neural plasticity, and second, to assess the effects of postnatal exposures that continue to drive the individual toward disease. We explore these issues using the schizophrenia spectrum disorders as an illustrative paradigm. However, given the potential richness of fetal magnetic resonance imaging, and the likely overlap of biomarkers, these concepts may extend to a range of neuropsychiatric conditions.
Collapse
|
4
|
Murray RM, David AS, Ajnakina O. Prevention of psychosis: moving on from the at-risk mental state to universal primary prevention. Psychol Med 2021; 51:223-227. [PMID: 32892760 PMCID: PMC7893507 DOI: 10.1017/s003329172000313x] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/28/2019] [Revised: 04/09/2020] [Accepted: 08/12/2020] [Indexed: 12/14/2022]
Abstract
The value of services for those with the 'At Risk Mental State for Psychosis' (ARMS) continues to be disputed. ARMS services have provided a valuable stimulus to academic research into the transition into psychosis. Furthermore, there is currently a welcome trend to transform such clinics into youth mental health services catering for the broader clientele of young people suffering from anxiety and depression, who already constitute the bulk of those seen at ARMS clinics. However, such services are never likely to make major inroads into preventing psychosis because they only reach a small proportion of those at risk. Evidence from medicine shows that avoiding exposure to factors which increase the risk of disease (e.g. poor nutrition, transmission of infection, tobacco smoking), produces greater public benefit than focussing efforts on individuals with, or about to develop, disease. We consider that the most productive approach for psychosis prevention is avoiding exposure to risk-increasing factors. The best-established risk factors for psychosis are obstetric events, childhood abuse, migration, city living, adverse life events and cannabis use. Some as city living, are likely proxies for an unknown causal factor(s) while preventing others such as childhood abuse is currently beyond our powers. The risk factor for psychosis which is most readily open to this approach is the use of cannabis. Therefore, as an initial step towards a strategy for universal primary prevention, we advocate public health campaigns to educate young people about the harms of regular use of high potency cannabis.
Collapse
Affiliation(s)
- Robin M. Murray
- Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
- Department of Psychiatry, Experimental Biomedicine and Clinical Neuroscience, University of Palermo, Palermo, Italy
| | - Anthony S. David
- Institute of Mental Health, University College London, London, UK
| | - Olesya Ajnakina
- Department of Biostatistics & Health Informatics, Institute of Psychiatry, Psychology & Neuroscience, King's College London, University of London, London, UK
| |
Collapse
|
5
|
Seiffert N, Cavelti M, Kaess M. Klinische Stadienmodelle in der Früherkennung und -behandlung der Borderline-Persönlichkeitsstörung. PSYCHOTHERAPEUT 2020. [DOI: 10.1007/s00278-020-00448-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
Zusammenfassung
Hintergrund
Die Borderline-Persönlichkeitsstörung (BPS) ist eine schwere psychische Störung, die typischerweise erstmals in der Adoleszenz auftritt und mit einem hohen Leidensdruck, schweren psychosozialen Defiziten bei Betroffenen sowie hohen Kosten für die Gesellschaft verbunden ist. Die Früherkennung und -intervention der BPS haben zum Ziel, die negativen Auswirkungen der Störung frühzeitig zu reduzieren oder zu verhindern und dadurch die Lebensläufe der betroffenen Jugendlichen positiv zu beeinflussen. Klinische Stadienmodelle bieten Orientierung bei der Auswahl einer geeigneten Intervention entsprechend dem aktuellen Krankheitsstadium.
Ziel der Arbeit
In der vorliegenden Arbeit wird das Rationale klinischer Stadienmodelle erläutert. Bestehende Stadienmodelle der BPS werden vorgestellt und diskutiert.
Material und Methoden
Kritische Reflexion vorhandener Forschungsliteratur.
Ergebnisse
Bisher wurden 2 Stadienmodelle der BPS vorgeschlagen, das erste Modell aus dem Jahr 2016 gemeinsam für die BPS und die affektiven Störungen, das neuere, darauf aufbauende Modell aus dem Jahr 2019 mit höherer Spezifität und Fokus auf die Entwicklung von Persönlichkeitsstörungen und sich daraus ergebenden Schwierigkeiten.
Diskussion
Die vorgestellten klinischen Stadienmodelle der BPS bieten Orientierung bei der Beschreibung des typischen Krankheitsverlaufs sowie der Auswahl einer geeigneten Intervention, insbesondere in frühen Krankheitsstadien, da sie dabei helfen können, frühe, unspezifische Anzeichen einer sich entwickelnden Störung wahrzunehmen und eine geeignete Behandlung einzuleiten. Mit weiteren Erkenntnissen über die Entwicklung der BPS und effektive Interventionen können Stadienmodelle in der Zukunft weiter verbessert werden.
Collapse
|
6
|
Angelozzi A. Dibattiti. Senza scienza e senza cultura. Riflessioni sulle riforme in salute mentale. PSICOTERAPIA E SCIENZE UMANE 2019. [DOI: 10.3280/pu2019-001006] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022]
|
7
|
Hiroi N. Critical reappraisal of mechanistic links of copy number variants to dimensional constructs of neuropsychiatric disorders in mouse models. Psychiatry Clin Neurosci 2018; 72:301-321. [PMID: 29369447 PMCID: PMC5935536 DOI: 10.1111/pcn.12641] [Citation(s) in RCA: 27] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/14/2017] [Revised: 12/27/2017] [Accepted: 01/19/2018] [Indexed: 12/17/2022]
Abstract
Copy number variants are deletions and duplications of a few thousand to million base pairs and are associated with extraordinarily high levels of autism spectrum disorder, schizophrenia, intellectual disability, or attention-deficit hyperactivity disorder. The unprecedented levels of robust and reproducible penetrance of copy number variants make them one of the most promising and reliable entry points to delve into the mechanistic bases of many mental disorders. However, the precise mechanistic bases of these associations still remain elusive in humans due to the many genes encoded in each copy number variant and the diverse associated phenotypic features. Genetically engineered mice have provided a technical means to ascertain precise genetic mechanisms of association between copy number variants and dimensional aspects of mental illnesses. Molecular, cellular, and neuronal phenotypes can be detected as potential mechanistic substrates for various behavioral constructs of mental illnesses. However, mouse models come with many technical pitfalls. Genetic background is not well controlled in many mouse models, leading to rather obvious interpretative issues. Dose alterations of many copy number variants and single genes within copy number variants result in some molecular, cellular, and neuronal phenotypes without a behavioral phenotype or with a behavioral phenotype opposite to what is seen in humans. In this review, I discuss technical and interpretative pitfalls of mouse models of copy number variants and highlight well-controlled studies to suggest potential neuronal mechanisms of dimensional aspects of mental illnesses. Mouse models of copy number variants represent toeholds to achieve a better understanding of the mechanistic bases of dimensions of neuropsychiatric disorders and thus for development of mechanism-based therapeutic options in humans.
Collapse
Affiliation(s)
- Noboru Hiroi
- Department of Psychiatry and Behavioral Sciences, Albert Einstein College of Medicine, New York, USA.,Department of Neuroscience, Albert Einstein College of Medicine, New York, USA.,Department of Genetics, Albert Einstein College of Medicine, New York, USA
| |
Collapse
|
8
|
Cuando la asistencia no sigue a la evidencia: el caso de la falta de programas de intervención temprana en psicosis en España. REVISTA DE PSIQUIATRIA Y SALUD MENTAL 2017; 10:78-86. [DOI: 10.1016/j.rpsm.2017.01.001] [Citation(s) in RCA: 36] [Impact Index Per Article: 5.1] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/19/2016] [Revised: 11/11/2016] [Accepted: 01/03/2017] [Indexed: 12/14/2022]
|
9
|
McLaughlin RL, Schijven D, van Rheenen W, van Eijk KR, O'Brien M, Kahn RS, Ophoff RA, Goris A, Bradley DG, Al-Chalabi A, van den Berg LH, Luykx JJ, Hardiman O, Veldink JH. Genetic correlation between amyotrophic lateral sclerosis and schizophrenia. Nat Commun 2017; 8:14774. [PMID: 28322246 PMCID: PMC5364411 DOI: 10.1038/ncomms14774] [Citation(s) in RCA: 85] [Impact Index Per Article: 12.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2016] [Accepted: 02/03/2017] [Indexed: 12/11/2022] Open
Abstract
We have previously shown higher-than-expected rates of schizophrenia in relatives of patients with amyotrophic lateral sclerosis (ALS), suggesting an aetiological relationship between the diseases. Here, we investigate the genetic relationship between ALS and schizophrenia using genome-wide association study data from over 100,000 unique individuals. Using linkage disequilibrium score regression, we estimate the genetic correlation between ALS and schizophrenia to be 14.3% (7.05-21.6; P=1 × 10-4) with schizophrenia polygenic risk scores explaining up to 0.12% of the variance in ALS (P=8.4 × 10-7). A modest increase in comorbidity of ALS and schizophrenia is expected given these findings (odds ratio 1.08-1.26) but this would require very large studies to observe epidemiologically. We identify five potential novel ALS-associated loci using conditional false discovery rate analysis. It is likely that shared neurobiological mechanisms between these two disorders will engender novel hypotheses in future preclinical and clinical studies.
Collapse
Affiliation(s)
- Russell L. McLaughlin
- Academic Unit of Neurology, Trinity Biomedical Sciences Institute, Trinity College Dublin, Dublin DO2 DK07, Republic of Ireland
- Smurfit Institute of Genetics, Trinity College Dublin, Dublin D02 DK07, Republic of Ireland
| | - Dick Schijven
- Department of Neurology and Neurosurgery, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht 3584 CX, The Netherlands
- Department of Psychiatry, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht 3584 CX, The Netherlands
| | - Wouter van Rheenen
- Department of Neurology and Neurosurgery, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht 3584 CX, The Netherlands
| | - Kristel R. van Eijk
- Department of Neurology and Neurosurgery, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht 3584 CX, The Netherlands
| | - Margaret O'Brien
- Academic Unit of Neurology, Trinity Biomedical Sciences Institute, Trinity College Dublin, Dublin DO2 DK07, Republic of Ireland
| | - René S. Kahn
- Department of Psychiatry, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht 3584 CX, The Netherlands
| | - Roel A. Ophoff
- Department of Psychiatry, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht 3584 CX, The Netherlands
- Department of Human Genetics, David Geffen School of Medicine, University of California, Los Angeles, California 90095, USA
- Center for Neurobehavioral Genetics, Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, California 90095, USA
| | - An Goris
- Department of Neurosciences, Experimental Neurology and Leuven Research Institute for Neuroscience and Disease (LIND), KU Leuven—University of Leuven, Leuven B-3000, Belgium
| | - Daniel G. Bradley
- Smurfit Institute of Genetics, Trinity College Dublin, Dublin D02 DK07, Republic of Ireland
| | - Ammar Al-Chalabi
- Department of Basic and Clinical Neuroscience, Maurice Wohl Clinical Neuroscience Institute, King's College London, London WC2R 2LS, UK
| | - Leonard H. van den Berg
- Department of Neurology and Neurosurgery, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht 3584 CX, The Netherlands
| | - Jurjen J. Luykx
- Department of Neurology and Neurosurgery, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht 3584 CX, The Netherlands
- Department of Psychiatry, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht 3584 CX, The Netherlands
- Department of Psychiatry, Hospital Network Antwerp (ZNA) Stuivenberg and Sint Erasmus, Antwerp 2020, Belgium
| | - Orla Hardiman
- Smurfit Institute of Genetics, Trinity College Dublin, Dublin D02 DK07, Republic of Ireland
| | - Jan H. Veldink
- Department of Neurology and Neurosurgery, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht 3584 CX, The Netherlands
| |
Collapse
|
10
|
Kassan A, Egawa J, Zhang Z, Almenar-Queralt A, Nguyen QM, Lajevardi Y, Kim K, Posadas E, Jeste DV, Roth DM, Patel PM, Patel HH, Head BP. Caveolin-1 regulation of disrupted-in-schizophrenia-1 as a potential therapeutic target for schizophrenia. J Neurophysiol 2017; 117:436-444. [PMID: 27832597 PMCID: PMC5253400 DOI: 10.1152/jn.00481.2016] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/13/2016] [Accepted: 10/31/2016] [Indexed: 02/08/2023] Open
Abstract
Schizophrenia is a debilitating psychiatric disorder manifested in early adulthood. Disrupted-in-schizophrenia-1 (DISC1) is a susceptible gene for schizophrenia (Hodgkinson et al. 2004; Millar et al. 2000; St Clair et al. 1990) implicated in neuronal development, brain maturation, and neuroplasticity (Brandon and Sawa 2011; Chubb et al. 2008). Therefore, DISC1 is a promising candidate gene for schizophrenia, but the molecular mechanisms underlying its role in the pathogenesis of the disease are still poorly understood. Interestingly, caveolin-1 (Cav-1), a cholesterol binding and scaffolding protein, regulates neuronal signal transduction and promotes neuroplasticity. In this study we examined the role of Cav-1 in mediating DISC1 expression in neurons in vitro and the hippocampus in vivo. Overexpressing Cav-1 specifically in neurons using a neuron-specific synapsin promoter (SynCav1) increased expression of DISC1 and proteins involved in synaptic plasticity (PSD95, synaptobrevin, synaptophysin, neurexin, and syntaxin 1). Similarly, SynCav1-transfected differentiated human neurons derived from induced pluripotent stem cells (hiPSCs) exhibited increased expression of DISC1 and markers of synaptic plasticity. Conversely, hippocampi from Cav-1 knockout (KO) exhibited decreased expression of DISC1 and proteins involved in synaptic plasticity. Finally, SynCav1 delivery to the hippocampus of Cav-1 KO mice and Cav-1 KO neurons in culture restored expression of DISC1 and markers of synaptic plasticity. Furthermore, we found that Cav-1 coimmunoprecipitated with DISC1 in brain tissue. These findings suggest an important role by which neuron-targeted Cav-1 regulates DISC1 neurobiology with implications for synaptic plasticity. Therefore, SynCav1 might be a potential therapeutic target for restoring neuronal function in schizophrenia. NEW & NOTEWORTHY The present study is the first to demonstrate that caveolin-1 can regulate DISC1 expression in neuronal models. Furthermore, the findings are consistent across three separate neuronal models that include rodent neurons (in vitro and in vivo) and human differentiated neurons derived from induced pluripotent stem cells. These findings justify further investigation regarding the modulatory role by caveolin on synaptic function and as a potential therapeutic target for the treatment of schizophrenia.
Collapse
Affiliation(s)
- Adam Kassan
- Department of Anesthesiology, University of California San Diego, La Jolla, California
- VA San Diego Healthcare System, San Diego, California
- Department of Psychiatry and the Sam and Rose Stein Institute for Research on Aging, University of California, San Diego, La Jolla, California
| | - Junji Egawa
- VA San Diego Healthcare System, San Diego, California
| | - Zheng Zhang
- VA San Diego Healthcare System, San Diego, California
| | - Angels Almenar-Queralt
- Department of Cellular and Molecular Medicine, University of California, San Diego, La Jolla, California; and
| | | | | | - Kaitlyn Kim
- VA San Diego Healthcare System, San Diego, California
| | | | - Dilip V Jeste
- Department of Psychiatry and the Sam and Rose Stein Institute for Research on Aging, University of California, San Diego, La Jolla, California
| | - David M Roth
- Department of Anesthesiology, University of California San Diego, La Jolla, California
- VA San Diego Healthcare System, San Diego, California
| | - Piyush M Patel
- Department of Anesthesiology, University of California San Diego, La Jolla, California
- VA San Diego Healthcare System, San Diego, California
| | - Hemal H Patel
- Department of Anesthesiology, University of California San Diego, La Jolla, California
- VA San Diego Healthcare System, San Diego, California
| | - Brian P Head
- Department of Anesthesiology, University of California San Diego, La Jolla, California;
- VA San Diego Healthcare System, San Diego, California
- Sanford Consortium for Regenerative Medicine, La Jolla, California
| |
Collapse
|
11
|
Davis J, Eyre H, Jacka FN, Dodd S, Dean O, McEwen S, Debnath M, McGrath J, Maes M, Amminger P, McGorry PD, Pantelis C, Berk M. A review of vulnerability and risks for schizophrenia: Beyond the two hit hypothesis. Neurosci Biobehav Rev 2016; 65:185-94. [PMID: 27073049 PMCID: PMC4876729 DOI: 10.1016/j.neubiorev.2016.03.017] [Citation(s) in RCA: 212] [Impact Index Per Article: 26.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/18/2015] [Revised: 03/25/2016] [Accepted: 03/25/2016] [Indexed: 01/15/2023]
Abstract
Schizophrenia risk has often been conceptualized using a model which requires two hits in order to generate the clinical phenotype-the first as an early priming in a genetically predisposed individual and the second a likely environmental insult. The aim of this paper was to review the literature and reformulate this binary risk-vulnerability model. We sourced the data for this narrative review from the electronic database PUBMED. Our search terms were not limited by language or date of publication. The development of schizophrenia may be driven by genetic vulnerability interacting with multiple vulnerability factors including lowered prenatal vitamin D exposure, viral infections, smoking intelligence quotient, social cognition cannabis use, social defeat, nutrition and childhood trauma. It is likely that these genetic risks, environmental risks and vulnerability factors are cumulative and interactive with each other and with critical periods of neurodevelopmental vulnerability. The development of schizophrenia is likely to be more complex and nuanced than the binary two hit model originally proposed nearly thirty years ago. Risk appears influenced by a more complex process involving genetic risk interfacing with multiple potentially interacting hits and vulnerability factors occurring at key periods of neurodevelopmental activity, which culminate in the expression of disease state. These risks are common across a number of neuropsychiatric and medical disorders, which might inform common preventive and intervention strategies across non-communicable disorders.
Collapse
Affiliation(s)
- Justin Davis
- Deakin University, IMPACT Strategic Research Centre, School of Medicine, Barwon Health, P.O. Box 291, Geelong, 3220, Australia.
| | - Harris Eyre
- Deakin University, IMPACT Strategic Research Centre, School of Medicine, Barwon Health, P.O. Box 291, Geelong, 3220, Australia
| | - Felice N Jacka
- Deakin University, IMPACT Strategic Research Centre, School of Medicine, Barwon Health, P.O. Box 291, Geelong, 3220, Australia; University of Melbourne, Department of Psychiatry, Level 1 North, Main Block, Royal Melbourne Hospital, Parkville, 3052, Australia; Centre for Adolescent Health, Murdoch Children's Research Institute, Melbourne, Australia; Black Dog Institute, Sydney, Australia
| | - Seetal Dodd
- Deakin University, IMPACT Strategic Research Centre, School of Medicine, Barwon Health, P.O. Box 291, Geelong, 3220, Australia; University of Melbourne, Department of Psychiatry, Level 1 North, Main Block, Royal Melbourne Hospital, Parkville, 3052, Australia
| | - Olivia Dean
- Deakin University, IMPACT Strategic Research Centre, School of Medicine, Barwon Health, P.O. Box 291, Geelong, 3220, Australia; University of Melbourne, Department of Psychiatry, Level 1 North, Main Block, Royal Melbourne Hospital, Parkville, 3052, Australia
| | - Sarah McEwen
- Semel Institute for Neuroscience and Human Behavior, UCLA, United States
| | - Monojit Debnath
- Department of Human Genetics, National Institute of Mental Health and Neurosciences, Bangalore, India
| | - John McGrath
- Queensland Brain Institute, The University of Queensland, Brisbane, 4072, Queensland, Australia; Queensland Centre for Mental Health Research, The Park Centre for Mental Health, Wacol, Queensland 4076, Australia
| | - Michael Maes
- Deakin University, IMPACT Strategic Research Centre, School of Medicine, Barwon Health, P.O. Box 291, Geelong, 3220, Australia
| | - Paul Amminger
- Queensland Brain Institute, The University of Queensland, Brisbane, 4072, Queensland, Australia; Orygen, The National Centre of Excellence in Youth Mental Health and Orygen Youth Health Research Centre, 35 Poplar Rd., Parkville, 3052, Australia
| | - Patrick D McGorry
- Orygen, The National Centre of Excellence in Youth Mental Health and Orygen Youth Health Research Centre, 35 Poplar Rd., Parkville, 3052, Australia; Centre of Youth Mental Health, University of Melbourne, 35 Poplar Rd., Parkville, 3052, Australia
| | - Christos Pantelis
- University of Melbourne, Department of Psychiatry, Level 1 North, Main Block, Royal Melbourne Hospital, Parkville, 3052, Australia; Department of Human Genetics, National Institute of Mental Health and Neurosciences, Bangalore, India; Melbourne Neuropsychiatry Centre, The University of Melbourne & Melbourne Health, Parkville, 3052, Australia; Florey Institute for Neuroscience and Mental Health, University of Melbourne, Kenneth Myer Building, 30 Royal Parade, 3052, Parkville, Australia
| | - Michael Berk
- Deakin University, IMPACT Strategic Research Centre, School of Medicine, Barwon Health, P.O. Box 291, Geelong, 3220, Australia; University of Melbourne, Department of Psychiatry, Level 1 North, Main Block, Royal Melbourne Hospital, Parkville, 3052, Australia; Queensland Centre for Mental Health Research, The Park Centre for Mental Health, Wacol, Queensland 4076, Australia; Orygen, The National Centre of Excellence in Youth Mental Health and Orygen Youth Health Research Centre, 35 Poplar Rd., Parkville, 3052, Australia; Centre of Youth Mental Health, University of Melbourne, 35 Poplar Rd., Parkville, 3052, Australia; Florey Institute for Neuroscience and Mental Health, University of Melbourne, Kenneth Myer Building, 30 Royal Parade, 3052, Parkville, Australia
| |
Collapse
|
12
|
Present and future of developmental neuropsychopharmacology. Eur Neuropsychopharmacol 2015; 25:703-12. [PMID: 25432076 DOI: 10.1016/j.euroneuro.2014.11.003] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/27/2014] [Revised: 10/08/2014] [Accepted: 11/04/2014] [Indexed: 11/24/2022]
Abstract
The field of child and adolescent psychiatry has always lagged behind adult psychiatry. With recent evidence that the vast majority of mental disorders, even when they emerge in adulthood, cause abnormal neurodevelopment and resultant emphasis on prevention and early intervention, there is a need to put child psychiatry at the top of the agenda in mental health research. This should also be the case for developmental neuropsychopharmacology. The target of drug discovery should shift toward a population younger than the one that is typically included in clinical trials. This is not only a matter of trying to replicate what has been found in individuals with mature brains; it is about searching for new strategies that address developing brains while the therapeutic window for their effect is still open. At present, major concerns in developmental psychopharmacology are over-prescription rates and use of psychotropic medications for conditions with a particularly underdeveloped evidence base, as well as adverse effects, especially potentially life-shortening cardiometabolic effects and suicidal ideation. The future of research in this area should focus on the use of drugs for primary and secondary prevention that would modify abnormal brain development.
Collapse
|
13
|
Miklowitz DJ. Delinquency, depression, and psychosis among adolescents in foster care: what holds three heads together? J Am Acad Child Adolesc Psychiatry 2014; 53:1251-3. [PMID: 25457923 PMCID: PMC4623702 DOI: 10.1016/j.jaac.2014.09.006] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/10/2014] [Accepted: 09/24/2014] [Indexed: 10/24/2022]
|
14
|
Crabtree GW, Gogos JA. Synaptic plasticity, neural circuits, and the emerging role of altered short-term information processing in schizophrenia. Front Synaptic Neurosci 2014; 6:28. [PMID: 25505409 PMCID: PMC4243504 DOI: 10.3389/fnsyn.2014.00028] [Citation(s) in RCA: 70] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/20/2014] [Accepted: 10/22/2014] [Indexed: 01/01/2023] Open
Abstract
Synaptic plasticity alters the strength of information flow between presynaptic and postsynaptic neurons and thus modifies the likelihood that action potentials in a presynaptic neuron will lead to an action potential in a postsynaptic neuron. As such, synaptic plasticity and pathological changes in synaptic plasticity impact the synaptic computation which controls the information flow through the neural microcircuits responsible for the complex information processing necessary to drive adaptive behaviors. As current theories of neuropsychiatric disease suggest that distinct dysfunctions in neural circuit performance may critically underlie the unique symptoms of these diseases, pathological alterations in synaptic plasticity mechanisms may be fundamental to the disease process. Here we consider mechanisms of both short-term and long-term plasticity of synaptic transmission and their possible roles in information processing by neural microcircuits in both health and disease. As paradigms of neuropsychiatric diseases with strongly implicated risk genes, we discuss the findings in schizophrenia and autism and consider the alterations in synaptic plasticity and network function observed in both human studies and genetic mouse models of these diseases. Together these studies have begun to point toward a likely dominant role of short-term synaptic plasticity alterations in schizophrenia while dysfunction in autism spectrum disorders (ASDs) may be due to a combination of both short-term and long-term synaptic plasticity alterations.
Collapse
Affiliation(s)
- Gregg W. Crabtree
- Department of Physiology and Cellular Biophysics, College of Physicians and Surgeons, Columbia UniversityNew York, NY, USA
| | - Joseph A. Gogos
- Department of Physiology and Cellular Biophysics, College of Physicians and Surgeons, Columbia UniversityNew York, NY, USA
- Department of Neuroscience, College of Physicians and Surgeons, Columbia UniversityNew York, NY, USA
| |
Collapse
|
15
|
Keyes KM, Susser E. The expanding scope of psychiatric epidemiology in the 21st century. Soc Psychiatry Psychiatr Epidemiol 2014; 49:1521-4. [PMID: 25096981 PMCID: PMC4167940 DOI: 10.1007/s00127-014-0938-5] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/08/2014] [Accepted: 07/16/2014] [Indexed: 12/19/2022]
Affiliation(s)
- Katherine M Keyes
- Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, NY, USA,
| | | |
Collapse
|
16
|
Updating the mild encephalitis hypothesis of schizophrenia. Prog Neuropsychopharmacol Biol Psychiatry 2013; 42:71-91. [PMID: 22765923 DOI: 10.1016/j.pnpbp.2012.06.019] [Citation(s) in RCA: 91] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/25/2012] [Revised: 06/11/2012] [Accepted: 06/25/2012] [Indexed: 12/13/2022]
Abstract
Schizophrenia seems to be a heterogeneous disorder. Emerging evidence indicates that low level neuroinflammation (LLNI) may not occur infrequently. Many infectious agents with low overall pathogenicity are risk factors for psychoses including schizophrenia and for autoimmune disorders. According to the mild encephalitis (ME) hypothesis, LLNI represents the core pathogenetic mechanism in a schizophrenia subgroup that has syndromal overlap with other psychiatric disorders. ME may be triggered by infections, autoimmunity, toxicity, or trauma. A 'late hit' and gene-environment interaction are required to explain major findings about schizophrenia, and both aspects would be consistent with the ME hypothesis. Schizophrenia risk genes stay rather constant within populations despite a resulting low number of progeny; this may result from advantages associated with risk genes, e.g., an improved immune response, which may act protectively within changing environments, although they are associated with the disadvantage of increased susceptibility to psychotic disorders. Specific schizophrenic symptoms may arise with instances of LLNI when certain brain functional systems are involved, in addition to being shaped by pre-existing liability factors. Prodrome phase and the transition to a diseased status may be related to LLNI processes emerging and varying over time. The variability in the course of schizophrenia resembles the varying courses of autoimmune disorders, which result from three required factors: genes, the environment, and the immune system. Preliminary criteria for subgrouping neurodevelopmental, genetic, ME, and other types of schizophrenias are provided. A rare example of ME schizophrenia may be observed in Borna disease virus infection. Neurodevelopmental schizophrenia due to early infections has been estimated by others to explain approximately 30% of cases, but the underlying pathomechanisms of transition to disease remain in question. LLNI (e.g. from reactivation related to persistent infection) may be involved and other pathomechanisms including dysfunction of the blood-brain barrier or the blood-CSF barrier, CNS-endogenous immunity and the volume transmission mode balancing wiring transmission (the latter represented mainly by synaptic transmission, which is often described as being disturbed in schizophrenia). Volume transmission is linked to CSF signaling; and together could represent a common pathogenetic link for the distributed brain dysfunction, dysconnectivity, and brain structural abnormalities observed in schizophrenia. In addition, CSF signaling may extend into peripheral tissues via the CSF outflow pathway along brain nerves and peripheral nerves, and it may explain the peripheral topology of neuronal dysfunctions found, like in olfactory dysfunction, dysautonomia, and even in peripheral tissues, i.e., the muscle lesions that were found in 50% of cases. Modulating factors in schizophrenia, such as stress, hormones, and diet, are also modulating factors in the immune response. Considering recent investigations of CSF, the ME schizophrenia subgroup may constitute approximately 40% of cases.
Collapse
|
17
|
Carpenter WT. The future of schizophrenia pharmacotherapeutics: not so bleak. Mens Sana Monogr 2012; 10:13-9. [PMID: 22654379 PMCID: PMC3353592 DOI: 10.4103/0973-1229.91298] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2011] [Revised: 12/23/2011] [Accepted: 12/25/2011] [Indexed: 01/05/2023] Open
Abstract
Chlorpromazine efficacy in schizophrenia was observed 60 years ago. Advances in pharmacotherapy of this disorder have been modest with effectiveness still limited to the psychosis psychopathology and mechanism still dependent on dopamine antagonism. While a look backward may generate pessimism, future discovery may be far more robust. The near future will see significant changes in paradigms applied in discovery. Rather than viewing schizophrenia as a disease entity represented by psychosis, the construct will be deconstructed into component psychopathology domains. Each domain will represent a clinical target for aetiologic and therapeutic discovery. Research on pathophysiology will shift to the neural circuit level in relation to specific behavioural constructs. Progress at the molecular, genetic, cellular and network levels will be more robust. The behavioural paradigm will map on to the deconstructed clinical paradigm and in the process discovery will cut across current classification boundaries.
Collapse
Affiliation(s)
- William T Carpenter
- Professor of Psychiatry and Pharmacology, University of Maryland School of Medicine, Director, Maryland Psychiatric Research Center , PO Box 21247, Baltimore, MD 21228, USA. Editor-in-Chief, Schizophrenia Bulletin
| |
Collapse
|
18
|
Abstract
Molecular mechanisms underlying brain structure and function are affected by nutrition throughout the life cycle, with profound implications for health and disease. Responses to nutrition are in turn influenced by individual differences in multiple target genes. Recent advances in genomics and epigenomics are increasing understanding of mechanisms by which nutrition and genes interact. This review starts with a short account of current knowledge on nutrition-gene interactions, focusing on the significance of epigenetics to nutritional regulation of gene expression, and the roles of SNP and copy number variants (CNV) in determining individual responses to nutrition. A critical assessment is then provided of recent advances in nutrition-gene interactions, and especially energy status, in three related areas: (i) mental health and well-being, (ii) mental disorders and schizophrenia, (iii) neurological (neurodevelopmental and neurodegenerative) disorders and Alzheimer's disease. Optimal energy status, including physical activity, has a positive role in mental health. By contrast, sub-optimal energy status, including undernutrition and overnutrition, is implicated in many disorders of mental health and neurology. These actions are mediated by changes in energy metabolism and multiple signalling molecules, e.g. brain-derived neurotrophic factor (BDNF). They often involve epigenetic mechanisms, including DNA methylation and histone modifications. Recent advances show that many brain disorders result from a sophisticated network of interactions between numerous environmental and genetic factors. Personal, social and economic costs of sub-optimal brain health are immense. Future advances in understanding the complex interactions between nutrition, genes and the brain should help to reduce these costs and enhance quality of life.
Collapse
|
19
|
Stilo SA, Di Forti M, Murray RM. Environmental risk factors for schizophrenia: implications for prevention. ACTA ACUST UNITED AC 2011. [DOI: 10.2217/npy.11.42] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
|
20
|
Abstract
Waddington's original description of canalization refers to the ability of an organism to maintain phenotypic fidelity in the face of environmental and/or genetic perturbation. Development of the human brain requires exposure to a 'wild-type' environment-one that supports the optimal set of instructions for development. Recently derived brain structures in our species, such as the expanded neocortex, may be more vulnerable to decanalization because there has been insufficient time to evolve buffering capacity. On the basis of modern notions of decanalization, we provide perspectives on selected environmental and genetic risk factors for schizophrenia, and we discuss strengths and weaknesses of this conceptual framework. We argue that if we are to build a solid foundation for translational psychiatry, we must explore models that attempt to capture the complexity of the interaction between genetic and non-genetic risk factors in mediating and modulating brain development.
Collapse
Affiliation(s)
- J J McGrath
- Queensland Brain Institute, University of Queensland, St Lucia, QLD, Australia.
| | - A J Hannan
- Howard Florey Institute, Florey Neuroscience Institutes, University of Melbourne, Melbourne, VIC, Australia
| | - G Gibson
- School of Biology, Georgia Institute of Technology, Atlanta, GA, USA
| |
Collapse
|