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Reinen JM, Polosecki P, Castro E, Corcoran CM, Cecchi GA, Colibazzi T. Multimodal fusion of brain signals for robust prediction of psychosis transition. SCHIZOPHRENIA (HEIDELBERG, GERMANY) 2024; 10:54. [PMID: 38773120 PMCID: PMC11109212 DOI: 10.1038/s41537-024-00464-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/28/2023] [Accepted: 03/15/2024] [Indexed: 05/23/2024]
Abstract
The prospective study of youths at clinical high risk (CHR) for psychosis, including neuroimaging, can identify neural signatures predictive of psychosis outcomes using algorithms that integrate complex information. Here, to identify risk and psychosis conversion, we implemented multiple kernel learning (MKL), a multimodal machine learning approach allowing patterns from each modality to inform each other. Baseline multimodal scans (n = 74, 11 converters) included structural, resting-state functional imaging, and diffusion-weighted data. Multimodal MKL outperformed unimodal models (AUC = 0.73 vs. 0.66 in predicting conversion). Moreover, patterns learned by MKL were robust to training set variations, suggesting it can identify cross-modality redundancies and synergies to stabilize the predictive pattern. We identified many predictors consistent with the literature, including frontal cortices, cingulate, thalamus, and striatum. This highlights the advantage of methods that leverage the complex pathophysiology of psychosis.
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Affiliation(s)
- Jenna M Reinen
- IBM T.J. Watson Research Center, Yorktown Heights, NY, USA.
| | | | - Eduardo Castro
- IBM T.J. Watson Research Center, Yorktown Heights, NY, USA
| | - Cheryl M Corcoran
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | | | - Tiziano Colibazzi
- Department of Psychiatry, The New York State Psychiatric Institute, Columbia College of Physicians and Surgeons, New York, NY, USA
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Weickert TW, Ji E, Galletly C, Boerrigter D, Morishima Y, Bruggemann J, Balzan R, O’Donnell M, Liu D, Lenroot R, Weickert CS, Kindler J. Toll-Like Receptor mRNA Levels in Schizophrenia: Association With Complement Factors and Cingulate Gyrus Cortical Thinning. Schizophr Bull 2024; 50:403-417. [PMID: 38102721 PMCID: PMC10919782 DOI: 10.1093/schbul/sbad171] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/17/2023]
Abstract
BACKGROUND AND HYPOTHESES Previous studies revealed innate immune system activation in people with schizophrenia (SZ), potentially mediated by endogenous pathogen recognition receptors, notably Toll-like receptors (TLR). TLRs are activated by pathogenic molecules like bacterial lipopolysaccharides (TLR1 and TLR4), viral RNA (TLR3), or both (TLR8). Furthermore, the complement system, another key component of innate immunity, has previously been linked to SZ. STUDY DESIGN Peripheral mRNA levels of TLR1, TLR3, TLR4, and TLR8 were compared between SZ and healthy controls (HC). We investigated their relationship with immune activation through complement expression and cortical thickness of the cingulate gyrus, a region susceptible to immunological hits. TLR mRNA levels and peripheral complement receptor mRNA were extracted from 86 SZ and 77 HC white blood cells; structural MRI scans were conducted on a subset. STUDY RESULTS We found significantly higher TLR4 and TLR8 mRNA levels and lower TLR3 mRNA levels in SZ compared to HC. TLRs and complemental factors were significantly associated in SZ and HC, with the strongest deviations of TLR mRNA levels in the SZ subgroup having elevated complement expression. Cortical thickness of the cingulate gyrus was inversely associated with TLR8 mRNA levels in SZ, and with TLR4 and TLR8 levels in HC. CONCLUSIONS The study underscores the role of innate immune activation in schizophrenia, indicating a coordinated immune response of TLRs and the complement system. Our results suggest there could be more bacterial influence (based on TLR 4 levels) as opposed to viral influence (based on TLR3 levels) in schizophrenia. Specific TLRs were associated with brain cortical thickness reductions of limbic brain structures.
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Affiliation(s)
- Thomas W Weickert
- Neuroscience Research Australia, Schizophrenia Research Institute, Randwick, NSW 2031, Australia
- School of Psychiatry, University of New South Wales, Randwick, NSW 2031Australia
- Department of Neuroscience and Physiology, Upstate Medical University, Syracuse, NY 13210, USA
| | - Ellen Ji
- Psychiatric University Hospital Zurich, Zurich, Switzerland
- Neuroscience Research Australia, Sydney, NSW, Australia
| | - Cherrie Galletly
- Discipline of Psychiatry, School of Medicine, University of Adelaide, Adelaide, SA, Australia
- Ramsay Health Care (SA) Mental Health, Adelaide, Australia
- Northern Adelaide Local Health Network, Adelaide, SA, Australia
| | - Danny Boerrigter
- Neuroscience Research Australia, Schizophrenia Research Institute, Randwick, NSW 2031, Australia
| | - Yosuke Morishima
- Translational Research Center, University Hospital of Psychiatry, University of Bern, Bern, Switzerland
| | - Jason Bruggemann
- Neuroscience Research Australia, Schizophrenia Research Institute, Randwick, NSW 2031, Australia
- School of Psychiatry, University of New South Wales, Randwick, NSW 2031Australia
- Edith Collins Centre (Translational Research in Alcohol Drugs and Toxicology), Sydney Local Health District, Sydney, Australia
- Speciality of Addiction Medicine, Central Clinical School, Faculty of Medicine and Health, University of Sydney, Sydney, Australia
| | - Ryan Balzan
- School of Psychology, Flinders University, Adelaide, SA, Australia
| | - Maryanne O’Donnell
- Neuroscience Research Australia, Schizophrenia Research Institute, Randwick, NSW 2031, Australia
- Kiloh Centre, Prince of Wales Hospital, Randwick, New South Wales, Australia
| | - Dennis Liu
- Discipline of Psychiatry, School of Medicine, University of Adelaide, Adelaide, SA, Australia
- Ramsay Health Care (SA) Mental Health, Adelaide, Australia
- Northern Adelaide Local Health Network, Adelaide, SA, Australia
| | - Rhoshel Lenroot
- Neuroscience Research Australia, Schizophrenia Research Institute, Randwick, NSW 2031, Australia
- School of Psychiatry, University of New South Wales, Randwick, NSW 2031Australia
- Department of Psychiatry, University of New Mexico, Albuquerque, NM 87131-0001, USA
| | - Cynthia Shannon Weickert
- Neuroscience Research Australia, Schizophrenia Research Institute, Randwick, NSW 2031, Australia
- School of Psychiatry, University of New South Wales, Randwick, NSW 2031Australia
- Department of Neuroscience and Physiology, Upstate Medical University, Syracuse, NY 13210, USA
| | - Jochen Kindler
- Neuroscience Research Australia, Schizophrenia Research Institute, Randwick, NSW 2031, Australia
- University Hospital of Child and Adolescent Psychiatry and Psychotherapy, University of Bern, 3000 Bern, Switzerland
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Zouaoui I, Dumais A, Lavoie ME, Potvin S. Auditory Steady-State Responses in Schizophrenia: An Updated Meta-Analysis. Brain Sci 2023; 13:1722. [PMID: 38137170 PMCID: PMC10741772 DOI: 10.3390/brainsci13121722] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/19/2023] [Revised: 12/06/2023] [Accepted: 12/13/2023] [Indexed: 12/24/2023] Open
Abstract
This meta-analysis investigates auditory steady-state responses (ASSRs) as potential biomarkers of schizophrenia, focusing on previously unexplored clinical populations, frequencies, and variables. We examined 37 studies, encompassing a diverse cohort of 1788 patients with schizophrenia, including 208 patients with first-episode psychosis, 281 at-risk individuals, and 1603 healthy controls. The results indicate moderate reductions in 40 Hz ASSRs in schizophrenia patients, with significantly greater reductions in first-episode psychosis patients and minimal changes in at-risk individuals. These results call into question the expected progression of ASSR alterations across all stages of schizophrenia. The analysis also revealed the sensitivity of ASSR alterations at 40 Hz to various factors, including stimulus type, level of analysis, and attentional focus. In conclusion, our research highlights ASSRs, particularly at 40 Hz, as potential biomarkers of schizophrenia, revealing varied implications across different stages of the disorder. This study enriches our understanding of ASSRs in schizophrenia, highlighting their potential diagnostic and therapeutic relevance, particularly in the early stages of the disease.
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Affiliation(s)
- Inès Zouaoui
- Centre de Recherche de l’Institut Universitaire en Santé Mentale de Montréal, Montreal, QC H1N 3V2, Canada; (I.Z.); (A.D.); (M.E.L.)
- Department of Psychiatry and Addiction, Faculty of Medicine, University of Montreal, Montreal, QC H3T 1J4, Canada
| | - Alexandre Dumais
- Centre de Recherche de l’Institut Universitaire en Santé Mentale de Montréal, Montreal, QC H1N 3V2, Canada; (I.Z.); (A.D.); (M.E.L.)
- Department of Psychiatry and Addiction, Faculty of Medicine, University of Montreal, Montreal, QC H3T 1J4, Canada
- Institut National de Psychiatrie Légale Philippe-Pinel, Montreal, QC H1C 1H1, Canada
| | - Marc E. Lavoie
- Centre de Recherche de l’Institut Universitaire en Santé Mentale de Montréal, Montreal, QC H1N 3V2, Canada; (I.Z.); (A.D.); (M.E.L.)
- Département de Sciences Humaines, Lettres et Communication, Université TÉLUQ, Montreal, QC G1K 9H6, Canada
| | - Stéphane Potvin
- Centre de Recherche de l’Institut Universitaire en Santé Mentale de Montréal, Montreal, QC H1N 3V2, Canada; (I.Z.); (A.D.); (M.E.L.)
- Department of Psychiatry and Addiction, Faculty of Medicine, University of Montreal, Montreal, QC H3T 1J4, Canada
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Aberizk K, Addington JM, Bearden CE, Cadenhead KS, Cannon TD, Cornblatt BA, Keshavan M, Mathalon DH, Perkins DO, Stone WS, Tsuang MT, Woods SW, Walker EF, Ku BS. Relations of Lifetime Perceived Stress and Basal Cortisol With Hippocampal Volume Among Healthy Adolescents and Those at Clinical High Risk for Psychosis: A Structural Equation Modeling Approach. Biol Psychiatry 2023:S0006-3223(23)01759-6. [PMID: 38092185 PMCID: PMC11166888 DOI: 10.1016/j.biopsych.2023.11.027] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/29/2023] [Revised: 11/20/2023] [Accepted: 11/30/2023] [Indexed: 02/02/2024]
Abstract
BACKGROUND Hippocampal volume (HV) is sensitive to environmental influences. Under normative conditions in humans, HV increases linearly into childhood and asymptotes in early adulthood. Studies of humans and nonhuman animals have provided evidence of inverse relationships between several measures of stress and HV. METHODS Using structural equation modeling, this study aimed to characterize the relationships of age, basal cortisol, biological sex, and lifetime perceived stress with bilateral HV in a sample of healthy adolescents and adolescents at clinical high risk for psychosis (CHR-P) (N = 571, 43% female; age range = 12-19.9 years). This sample included 469 individuals at CHR-P and 102 healthy comparison participants from the combined baseline cohorts of the second and third NAPLS (North American Prodrome Longitudinal Study). RESULTS A structural model that constrained the individual effects of basal cortisol and perceived stress to single path coefficients, and freely estimated the effects of age and biological sex in group models, optimized model fit and parsimony relative to other candidate models. Significant inverse relationships between basal cortisol and bilateral HV were observed in adolescents at CHR-P and healthy comparison participants. Significant sex differences in bilateral HV were also observed, with females demonstrating smaller HV than males in both groups. CONCLUSIONS Multigroup structural equation modeling revealed heterogeneity in the relationships of age and biological sex with basal cortisol, lifetime perceived stress, and bilateral HV in individuals at CHR-P and healthy comparison participants. Moreover, the findings support previous literature indicating that elevated basal cortisol is a nonspecific risk factor for reduced HV.
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Affiliation(s)
- Katrina Aberizk
- Department of Psychology, Emory University, Atlanta, Georgia.
| | - Jean M Addington
- Department of Psychiatry, University of Calgary, Calgary, Alberta, Canada
| | - Carrie E Bearden
- Semel Institute for Neuroscience and Human Behavior, Departments of Psychiatry and Biobehavioral Sciences and Psychology, University of California, Los Angeles, California
| | | | - Tyrone D Cannon
- Departments of Psychology and Psychiatry, Yale University, New Haven, Connecticut
| | | | - Matcheri Keshavan
- Department of Psychiatry, Harvard Medical School, Harvard University, Cambridge, Massachusetts
| | - Daniel H Mathalon
- Department of Psychiatry, University of California, San Francisco, California
| | - Diana O Perkins
- Department of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
| | - William S Stone
- Department of Psychiatry, Harvard Medical School, Harvard University, Cambridge, Massachusetts
| | - Ming T Tsuang
- Department of Psychiatry, University of California, San Diego, California
| | - Scott W Woods
- Departments of Psychology and Psychiatry, Yale University, New Haven, Connecticut
| | - Elaine F Walker
- Department of Psychology, Emory University, Atlanta, Georgia
| | - Benson S Ku
- Department of Psychiatry and Behavioral Sciences, Emory University School of Medicine, Atlanta, Georgia
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Andreou C, Eickhoff S, Heide M, de Bock R, Obleser J, Borgwardt S. Predictors of transition in patients with clinical high risk for psychosis: an umbrella review. Transl Psychiatry 2023; 13:286. [PMID: 37640731 PMCID: PMC10462748 DOI: 10.1038/s41398-023-02586-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/30/2022] [Revised: 08/03/2023] [Accepted: 08/14/2023] [Indexed: 08/31/2023] Open
Abstract
Diagnosis of a clinical high-risk (CHR) state enables timely treatment of individuals at risk for a psychotic disorder, thereby contributing to improving illness outcomes. However, only a minority of patients diagnosed with CHR will make the transition to overt psychosis. To identify patients most likely to benefit from early intervention, several studies have investigated characteristics that distinguish CHR patients who will later develop a psychotic disorder from those who will not. We aimed to summarize evidence from systematic reviews and meta-analyses on predictors of transition to psychosis in CHR patients, among characteristics and biomarkers assessed at baseline. A systematic search was conducted in Pubmed, Scopus, PsychInfo and Cochrane databases to identify reviews and meta-analyses of studies that investigated specific baseline predictors or biomarkers for transition to psychosis in CHR patients using a cross-sectional or longitudinal design. Non-peer-reviewed publications, gray literature, narrative reviews and publications not written in English were excluded from analyses. We provide a narrative synthesis of results from all included reviews and meta-analyses. For each included publication, we indicate the number of studies cited in each domain and its quality rating. A total of 40 publications (21 systematic reviews and 19 meta-analyses) that reviewed a total of 272 original studies qualified for inclusion. Baseline predictors most consistently associated with later transition included clinical characteristics such as attenuated psychotic and negative symptoms and functioning, verbal memory deficits and the electrophysiological marker of mismatch negativity. Few predictors reached a level of evidence sufficient to inform clinical practice, reflecting generalizability issues in a field characterized by studies with small, heterogeneous samples and relatively few transition events. Sample pooling and harmonization of methods across sites and projects are necessary to overcome these limitations.
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Affiliation(s)
- Christina Andreou
- Translational Psychiatry, Department of Psychiatry and Psychotherapy, University of Lübeck, Ratzeburger Allee 160, 23562, Lübeck, Germany
- Center of Brain, Behavior, and Metabolism (CBBM), University of Lübeck, Ratzeburger Allee 160, 23562, Lübeck, Germany
| | - Sofia Eickhoff
- Translational Psychiatry, Department of Psychiatry and Psychotherapy, University of Lübeck, Ratzeburger Allee 160, 23562, Lübeck, Germany
| | - Marco Heide
- Translational Psychiatry, Department of Psychiatry and Psychotherapy, University of Lübeck, Ratzeburger Allee 160, 23562, Lübeck, Germany
| | - Renate de Bock
- University Psychiatric Clinics Basel, Wilhelm Klein-Strasse 27, 4002, Basel, Switzerland
| | - Jonas Obleser
- Center of Brain, Behavior, and Metabolism (CBBM), University of Lübeck, Ratzeburger Allee 160, 23562, Lübeck, Germany
- Department of Psychology, University of Lübeck, Ratzeburger Allee 160, 23562, Lübeck, Germany
| | - Stefan Borgwardt
- Translational Psychiatry, Department of Psychiatry and Psychotherapy, University of Lübeck, Ratzeburger Allee 160, 23562, Lübeck, Germany.
- Center of Brain, Behavior, and Metabolism (CBBM), University of Lübeck, Ratzeburger Allee 160, 23562, Lübeck, Germany.
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6
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Balcıoğlu YH, Gökçay H, Yeşilkaya ÜH, Namlı MN. Blood Viscosity and Inflammation in First-Episode and Acute Exacerbations of Schizophrenia: A Case-Control Study with Healthy Controls. Noro Psikiyatr Ars 2023; 60:265-270. [PMID: 37645085 PMCID: PMC10461775 DOI: 10.29399/npa.28394] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/01/2023] [Accepted: 02/22/2023] [Indexed: 08/31/2023] Open
Abstract
Introduction Elevated proinflammatory status and alterations in blood flow, both of which are associated with the pathophysiology of schizophrenia, may be linked with an increased risk of cardiovascular diseases. However, such a relationship at different acute stages of schizophrenia has not been evaluated. We aimed to examine whether blood viscosity and systemic inflammatory status varied between first-episode schizophrenia (FES) and acute exacerbations of schizophrenia. Methods Fifty-two patients with FES, 69 schizophrenia patients with acute exacerbation (S-AE) and 56 healthy controls (HC) were included in the study. Whole blood viscosity (WBV) was calculated according to de Simone's formula at low and high shear rates (LSR and HSR). Systemic immune-inflammation index (SII) and systemic inflammatory response index (SIRI) were calculated from hemogram screening data at admission. Results When adjusted for age, WBV at both LSR and HSR were significantly decreased in both FES and S-AE groups compared to HCs. Systemic inflammatory response index was significantly higher in FES patients than in the S-AE and HC groups. Total cholesterol (TC) and WBV at HSR were correlated in patients. Total cholesterol predicted WBV at LSR in patients with FES whereas other independent variables including age and SIRI did not. Conclusion Both first and subsequent episodes of schizophrenia are associated with reduced blood viscosity. Increased inflammatory status may not fully explain such a relationship. Extrapolation of hemorheological characteristics in schizophrenia may help to stratify cardiovascular risk and reflect the pathophysiological process in the early and later stages of schizophrenia.
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Affiliation(s)
- Yasin Hasan Balcıoğlu
- Department of Psychiatry, Bakirkoy Prof Mazhar Osman Training and Research Hospital for Psychiatry, Neurology, and Neurosurgery, Istanbul, Turkey
| | - Hasan Gökçay
- Department of Psychiatry, Bagcilar Training and Research Hospital, Istanbul, Turkey
| | - Ümit Haluk Yeşilkaya
- Department of Psychiatry, Bakirkoy Prof Mazhar Osman Training and Research Hospital for Psychiatry, Neurology, and Neurosurgery, Istanbul, Turkey
- Regenerative and Restorative Medicine Research Center (REMER), Institute for Health Sciences and Technologies (SABITA), Istanbul Medipol University, Istanbul, Turkey
| | - Mustafa Nuray Namlı
- Department of Psychiatry, Hamidiye Faculty of Medicine, University of Health Sciences, Istanbul, Turkey
- Department of Psychiatry, Basaksehir Cam and Sakura City Hospital, Istanbul, Turkey
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Gallart-Palau X, Muntané G, Martorell L, Amigó N, Correig X, Ribalta J, Sánchez-Gistau V, Labad J, Vilella E. Gradual Increase in Inflammation-Linked Glycoproteins and a Proatherogenic Lipoprotein Profile in the Early Stages of Psychosis as Characterized by 1H NMR Blood Analysis. J Proteome Res 2023. [PMID: 37354121 DOI: 10.1021/acs.jproteome.2c00847] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/26/2023]
Abstract
Minimally invasive prognostic markers of inflammation and dyslipidemia in individuals with a risk of psychosis, also called "at-risk mental state" (ARMS), or in the first episode of psychosis (FEP) are of utmost clinical importance to prevent cardiovascular disorders. We analyzed the plasma concentration of inflammation-linked glycoproteins (Glycs) and lipoprotein subclasses by proton nuclear magnetic resonance (1H NMR) in a single acquisition. Study participants were healthy controls (HCs, N = 67) and patients with ARMS (N = 58), FEP (N = 110), or early psychosis diagnosis with ≥2 episodes (critical period (CP), N = 53). Clinical biomarkers such as high-sensitivity C-reactive protein, interleukin 6, fibrinogen, insulin, and lipoproteins were also measured. Although all participants had normal lipoprotein profiles and no inflammation according to conventional biomarkers, a gradual increase in the Glyc 1H NMR levels was observed from HCs to CP patients; this increase was statistically significant for GlycA (CP vs HC). In parallel, a progressive and significant proatherogenic 1H NMR lipoprotein profile was also identified across stages of psychosis (ARMS and CP vs HC). These findings highlight the potential of using 1H NMR Glyc and lipoprotein profiling to identify blood changes in individuals with ARMS or FEP and pave the way for applications using this technology to monitor metabolic and cardiovascular risks in clinical psychiatry.
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Affiliation(s)
- Xavier Gallart-Palau
- Institut Investigació Sanitària Pere Virgili (IISPV)-CERCA, 43204 Reus, Spain
- Hospital Universitari Institut Pere Mata, 43206 Reus, Spain
- Centro de Investigación Biomédica en Red en Salud Mental CIBERSAM, Instituto de Salud Carlos III, 28029 Madrid, Spain
- Proteored - Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain
| | - Gerard Muntané
- Institut Investigació Sanitària Pere Virgili (IISPV)-CERCA, 43204 Reus, Spain
- Hospital Universitari Institut Pere Mata, 43206 Reus, Spain
- Centro de Investigación Biomédica en Red en Salud Mental CIBERSAM, Instituto de Salud Carlos III, 28029 Madrid, Spain
- Universitat Rovira i Virgili, 43201 Reus, Spain
- Institute of Evolutionary Biology (UPF-CSIC), Department of Experimental and Health Sciences, Universitat Pompeu Fabra, 08005 Barcelona, Spain
| | - Lourdes Martorell
- Institut Investigació Sanitària Pere Virgili (IISPV)-CERCA, 43204 Reus, Spain
- Hospital Universitari Institut Pere Mata, 43206 Reus, Spain
- Centro de Investigación Biomédica en Red en Salud Mental CIBERSAM, Instituto de Salud Carlos III, 28029 Madrid, Spain
- Universitat Rovira i Virgili, 43201 Reus, Spain
| | - Núria Amigó
- Institut Investigació Sanitària Pere Virgili (IISPV)-CERCA, 43204 Reus, Spain
- Universitat Rovira i Virgili, 43201 Reus, Spain
- Biosfer Teslab, SL, 43201 Reus, Spain
- Centro de Investigación Biomédica en Red en Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM), Instituto de Salud Carlos III, 28029 Madrid, Spain
| | - Xavier Correig
- Institut Investigació Sanitària Pere Virgili (IISPV)-CERCA, 43204 Reus, Spain
- Universitat Rovira i Virgili, 43201 Reus, Spain
- Centro de Investigación Biomédica en Red en Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM), Instituto de Salud Carlos III, 28029 Madrid, Spain
| | - Josep Ribalta
- Institut Investigació Sanitària Pere Virgili (IISPV)-CERCA, 43204 Reus, Spain
- Universitat Rovira i Virgili, 43201 Reus, Spain
- Centro de Investigación Biomédica en Red en Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM), Instituto de Salud Carlos III, 28029 Madrid, Spain
| | - Vanessa Sánchez-Gistau
- Institut Investigació Sanitària Pere Virgili (IISPV)-CERCA, 43204 Reus, Spain
- Hospital Universitari Institut Pere Mata, 43206 Reus, Spain
- Centro de Investigación Biomédica en Red en Salud Mental CIBERSAM, Instituto de Salud Carlos III, 28029 Madrid, Spain
- Universitat Rovira i Virgili, 43201 Reus, Spain
| | - Javier Labad
- Centro de Investigación Biomédica en Red en Salud Mental CIBERSAM, Instituto de Salud Carlos III, 28029 Madrid, Spain
- Department of Mental Health, Consorci Sanitari del Maresme, 08304 Mataró, Spain
- Institut d'Investigació i Innovació Parc Taulí (I3PT)-CERCA, 08208 Sabadell, Spain
- Centre for Biomedical Research Unit I3PT-INc-UAB, 08193 Bellaterra, Spain
| | - Elisabet Vilella
- Institut Investigació Sanitària Pere Virgili (IISPV)-CERCA, 43204 Reus, Spain
- Hospital Universitari Institut Pere Mata, 43206 Reus, Spain
- Centro de Investigación Biomédica en Red en Salud Mental CIBERSAM, Instituto de Salud Carlos III, 28029 Madrid, Spain
- Universitat Rovira i Virgili, 43201 Reus, Spain
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8
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Collins MA, Ji JL, Chung Y, Lympus CA, Afriyie-Agyemang Y, Addington JM, Goodyear BG, Bearden CE, Cadenhead KS, Mirzakhanian H, Tsuang MT, Cornblatt BA, Carrión RE, Keshavan M, Stone WS, Mathalon DH, Perkins DO, Walker EF, Woods SW, Powers AR, Anticevic A, Cannon TD. Accelerated cortical thinning precedes and predicts conversion to psychosis: The NAPLS3 longitudinal study of youth at clinical high-risk. Mol Psychiatry 2023; 28:1182-1189. [PMID: 36434057 PMCID: PMC10005940 DOI: 10.1038/s41380-022-01870-7] [Citation(s) in RCA: 26] [Impact Index Per Article: 26.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/16/2021] [Revised: 10/27/2022] [Accepted: 11/02/2022] [Indexed: 11/27/2022]
Abstract
Progressive grey matter loss has been demonstrated among clinical high-risk (CHR) individuals who convert to psychosis, but it is unknown whether these changes occur prior to psychosis onset. Identifying illness-related neurobiological mechanisms that occur prior to conversion is essential for targeted early intervention. Among participants in the third wave of the North American Prodrome Longitudinal Study (NAPLS3), this report investigated if steeper cortical thinning was observable prior to psychosis onset among CHR individuals who ultimately converted (CHR-C) and assessed the shortest possible time interval in which rates of cortical thinning differ between CHR-C, CHR non-converters (CHR-NC), and health controls (HC). 338 CHR-NC, 42 CHR-C, and 62 HC participants (age 19.3±4.2, 44.8% female, 52.5% racial/ethnic minority) completed up to 5 MRI scans across 8 months. Accelerated thinning among CHR-C compared to CHR-NC and HC was observed in multiple prefrontal, temporal, and parietal cortical regions. CHR-NC also exhibited accelerated cortical thinning compared to HC in several of these areas. Greater percent decrease in cortical thickness was observed among CHR-C compared to other groups across 2.9±1.8 months, on average, in several cortical areas. ROC analyses discriminating CHR-C from CHR-NC by percent thickness change in a left hemisphere region of interest, scanner, age, age2, and sex had an AUC of 0.74, with model predictive power driven primarily by percent thickness change. Findings indicate that accelerated cortical thinning precedes psychosis onset and differentiates CHR-C from CHR-NC and HC across short time intervals. Mechanisms underlying cortical thinning may provide novel treatment targets prior to psychosis onset.
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Affiliation(s)
| | - Jie Lisa Ji
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA
- Interdepartmental Neuroscience Program, Yale University School of Medicine, New Haven, CT, USA
| | - Yoonho Chung
- Department of Psychiatry, McLean Hospital and Harvard Medical School, Belmont, MA, USA
- Institute for Technology in Psychiatry, McLean Hospital, Belmont, MA, USA
| | - Cole A Lympus
- Department of Psychology, Yale University, New Haven, CT, USA
| | | | - Jean M Addington
- Department of Psychiatry, Hotchkiss Brain Institute, University of Calgary, Calgary, AB, Canada
| | - Bradley G Goodyear
- Department of Radiology, Hotchkiss Brain Institute, University of Calgary, Calgary, AB, Canada
| | - Carrie E Bearden
- Departments of Psychiatry and Biobehavioral Sciences and Psychology, Semel Institute for Neuroscience and Human Behavior, UCLA, Los Angeles, CA, USA
| | | | | | - Ming T Tsuang
- Department of Psychiatry, UCSD, San Diego, CA, USA
- Institute of Genomic Medicine, UCSD, La Jolla, CA, USA
| | | | - Ricardo E Carrión
- Division of Psychiatry Research, The Zucker Hillside Hospital, Glen Oaks, NY, USA
- Institute of Behavioral Science, The Feinstein Institutes for Medical Research, Manhasset, NY, USA
- Department of Psychiatry, The Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Hempstead, NY, USA
| | - Matcheri Keshavan
- Department of Psychiatry, Harvard Medical School at Beth Israel Deaconess Medical Center and Massachusetts General Hospital, Boston, MA, USA
| | - Wiliam S Stone
- Department of Psychiatry, Harvard Medical School at Beth Israel Deaconess Medical Center and Massachusetts General Hospital, Boston, MA, USA
| | - Daniel H Mathalon
- Department of Psychiatry, UCSF, and SFVA Medical Center, San Francisco, CA, USA
| | - Diana O Perkins
- Department of Psychiatry, University of North Carolina, Chapel Hill, NC, USA
| | - Elaine F Walker
- Departments of Psychology and Psychiatry, Emory University, Atlanta, GA, USA
| | - Scott W Woods
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA
| | - Albert R Powers
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA
| | - Alan Anticevic
- Department of Psychology, Yale University, New Haven, CT, USA
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA
- Interdepartmental Neuroscience Program, Yale University School of Medicine, New Haven, CT, USA
| | - Tyrone D Cannon
- Department of Psychology, Yale University, New Haven, CT, USA
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA
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9
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Smesny S, Gussew A, Schack S, Langbein K, Wagner G, Reichenbach JR. Neurometabolic patterns of an "at risk for mental disorders" syndrome involve abnormalities in the thalamus and anterior midcingulate cortex. Schizophr Res 2022; 243:285-295. [PMID: 32444202 DOI: 10.1016/j.schres.2020.04.021] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/06/2019] [Revised: 04/03/2020] [Accepted: 04/19/2020] [Indexed: 12/24/2022]
Abstract
BACKGROUND The ultra-high risk (UHR) paradigm allows the investigation of individuals at increased risk of developing psychotic or other mental disorders with the aim of making prevention and early intervention as specific as possible in terms of the individual outcome. METHODS Single-session 1H-/31P-Chemical Shift Imaging of thalamus, prefrontal (DLPFC) and anterior midcingulate (aMCC) cortices was applied to 69 UHR patients for psychosis and 61 matched healthy controls. N-acetylaspartate (NAA), glutamate/glutamine complex (Glx), energy (PCr, ATP) and phospholipid metabolites were assessed, analysed by ANOVA (or ANCOVA [with covariates]) and correlated with symptomatology (SCL-90R). RESULTS The thalamus showed decreased NAA, inversely correlated with self-rated aggressiveness, as well as increased PCr, and altered phospholipid breakdown. While the aMCC showed a pattern of NAA decrease and PCr increase, the DLPFC showed PCr increase only in the close-to-psychosis patient subgroup. There were no specific findings in transition patients. CONCLUSION The results do not support the notion of a specific pre-psychotic neurometabolic pattern, but likely reflect correlates of an "at risk for mental disorders syndrome". This includes disturbed neuronal (mitochondrial) metabolism in the thalamus and aMCC, with emphasis on left-sided structures, and altered PL remodeling across structures.
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Affiliation(s)
- Stefan Smesny
- Department of Psychiatry, Jena University Hospital, Philosophenweg 3, D-07743 Jena, Germany.
| | - Alexander Gussew
- Department of Radiology, Halle University Hospital, Ernst-Grube-Str. 40, 06120 Halle (Saale), Germany
| | - Stephan Schack
- Department of Psychiatry, Jena University Hospital, Philosophenweg 3, D-07743 Jena, Germany
| | - Kerstin Langbein
- Department of Psychiatry, Jena University Hospital, Philosophenweg 3, D-07743 Jena, Germany
| | - Gerd Wagner
- 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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10
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Cannon TD. Psychosis, schizophrenia, and states vs. traits. Schizophr Res 2022; 242:12-14. [PMID: 34920909 DOI: 10.1016/j.schres.2021.12.001] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/28/2021] [Revised: 11/29/2021] [Accepted: 12/01/2021] [Indexed: 11/17/2022]
Affiliation(s)
- Tyrone D Cannon
- Department of Psychology, Yale University, United States of America; Department of Psychiatry, Yale University, United States of America.
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11
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Hubl D, Michel C, Schultze-Lutter F, Hauf M, Schimmelmann BG, Kaess M, Kindler J. Basic symptoms and gray matter volumes of patients at clinical high risk for psychosis. Psychol Med 2021; 51:2666-2674. [PMID: 32404212 DOI: 10.1017/s0033291720001282] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Abstract
BACKGROUND Clinical high-risk (CHR) for psychosis is indicated by ultra-high risk (UHR) and basic symptom (BS) criteria; however, conversion rates are highest when both UHR and BS criteria are fulfilled (UHR&BS). While BSs are considered the most immediate expression of neurobiological aberrations underlying the development of psychosis, research on neurobiological correlates of BS is scarce. METHODS We investigated gray matter volumes (GMV) of 20 regions of interest (ROI) previously associated with UHR criteria in 90 patients from the Bern early detection service: clinical controls (CC), first-episode psychosis (FEP), UHR, BS and UHR&BS. We expected lowest GMV in FEP and UHR&BS, and highest volume in CC with UHR and BS in-between. RESULTS Significantly, lower GMV was detected in FEP and UHR&BS patients relative to CC with no other significant between-group differences. When ROIs were analyzed separately, seven showed a significant group effect (FDR corrected), with five (inferior parietal, medial orbitofrontal, lateral occipital, middle temporal, precuneus) showing significantly lower GM volume in the FEP and/or UHR&BS groups than in the CC group (Bonferroni corrected). In the CHR group, only COGDIS scores correlated negatively with cortical volumes. CONCLUSIONS This is the first study to demonstrate that patients who fulfill both UHR and BS criteria - a population that has been associated with higher conversion rates - exhibit more severe GMV reductions relative to those who satisfy BS or UHR criteria alone. This result was mediated by the BS in the UHR&BS group, as only the severity of BS was linked to GMV reductions.
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Affiliation(s)
- Daniela Hubl
- Translational Research Center, University Hospital of Psychiatry and Psychotherapy, University of Bern, Bern, Switzerland
| | - Chantal Michel
- University Hospital of Child and Adolescent Psychiatry and Psychotherapy, University of Bern, Switzerland
| | - Frauke Schultze-Lutter
- Department of Psychiatry and Psychotherapy, Medical Faculty, Heinrich-Heine-University, Düsseldorf, Germany
| | - Martinus Hauf
- Support Center for Advanced Neuroimaging (SCAN), Institute for Diagnostic and Interventional Neuroradiology, University of Bern, Switzerland
| | - Benno G Schimmelmann
- University Hospital of Child and Adolescent Psychiatry and Psychotherapy, University of Bern, Switzerland
- University Hospital of Child and Adolescent Psychiatry, University Hospital Hamburg Eppendorf, Hamburg, Germany
| | - Michael Kaess
- University Hospital of Child and Adolescent Psychiatry and Psychotherapy, University of Bern, Switzerland
- Section for Translational Psychobiology in Child and Adolescent Psychiatry, Department of Child and Adolescent Psychiatry, Center for Psychosocial Medicine, University Hospital Heidelberg, Heidelberg, Germany
| | - Jochen Kindler
- University Hospital of Child and Adolescent Psychiatry and Psychotherapy, University of Bern, Switzerland
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12
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Cognitive subtypes in recent onset psychosis: distinct neurobiological fingerprints? Neuropsychopharmacology 2021; 46:1475-1483. [PMID: 33723384 PMCID: PMC8209013 DOI: 10.1038/s41386-021-00963-1] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/25/2020] [Revised: 12/16/2020] [Accepted: 01/05/2021] [Indexed: 01/31/2023]
Abstract
In schizophrenia, neurocognitive subtypes can be distinguished based on cognitive performance and they are associated with neuroanatomical alterations. We investigated the existence of cognitive subtypes in shortly medicated recent onset psychosis patients, their underlying gray matter volume patterns and clinical characteristics. We used a K-means algorithm to cluster 108 psychosis patients from the multi-site EU PRONIA (Prognostic tools for early psychosis management) study based on cognitive performance and validated the solution independently (N = 53). Cognitive subgroups and healthy controls (HC; n = 195) were classified based on gray matter volume (GMV) using Support Vector Machine classification. A cognitively spared (N = 67) and impaired (N = 41) subgroup were revealed and partially independently validated (Nspared = 40, Nimpaired = 13). Impaired patients showed significantly increased negative symptomatology (pfdr = 0.003), reduced cognitive performance (pfdr < 0.001) and general functioning (pfdr < 0.035) in comparison to spared patients. Neurocognitive deficits of the impaired subgroup persist in both discovery and validation sample across several domains, including verbal memory and processing speed. A GMV pattern (balanced accuracy = 60.1%, p = 0.01) separating impaired patients from HC revealed increases and decreases across several fronto-temporal-parietal brain areas, including basal ganglia and cerebellum. Cognitive and functional disturbances alongside brain morphological changes in the impaired subgroup are consistent with a neurodevelopmental origin of psychosis. Our findings emphasize the relevance of tailored intervention early in the course of psychosis for patients suffering from the likely stronger neurodevelopmental character of the disease.
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13
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Hua LL, Alderman EM, Chung RJ, Grubb LK, Lee J, Powers ME, Upadhya KK, Wallace SB. Collaborative Care in the Identification and Management of Psychosis in Adolescents and Young Adults. Pediatrics 2021; 147:peds.2021-051486. [PMID: 34031232 DOI: 10.1542/peds.2021-051486] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/24/2022] Open
Abstract
Pediatricians are often the first physicians to encounter adolescents and young adults presenting with psychotic symptoms. Although pediatricians would ideally be able to refer these patients immediately into psychiatric care, the shortage of child and adolescent psychiatry services may sometimes require pediatricians to make an initial assessment or continue care after recommendations are made by a specialist. Knowing how to identify and further evaluate these symptoms in pediatric patients and how to collaborate with and refer to specialty care is critical in helping to minimize the duration of untreated psychosis and to optimize outcomes. Because not all patients presenting with psychotic-like symptoms will convert to a psychotic disorder, pediatricians should avoid prematurely assigning a diagnosis when possible. Other contributing factors, such as co-occurring substance abuse or trauma, should also be considered. This clinical report describes psychotic and psychotic-like symptoms in the pediatric age group as well as etiology, risk factors, and recommendations for pediatricians, who may be among the first health care providers to identify youth at risk.
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Affiliation(s)
- Liwei L. Hua
- Catholic Charities of Baltimore, Baltimore, Maryland
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14
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Vucurovic K, Caillies S, Kaladjian A. Neural Correlates of Mentalizing in Individuals With Clinical High Risk for Schizophrenia: ALE Meta-Analysis. Front Psychiatry 2021; 12:634015. [PMID: 33959048 PMCID: PMC8095711 DOI: 10.3389/fpsyt.2021.634015] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/26/2020] [Accepted: 02/25/2021] [Indexed: 11/13/2022] Open
Abstract
Psychotic disorder refers to a spectrum of disorders that have multiple etiologies, due to the complex interaction of biological and genetic vulnerability with familial and cultural factors. A clinical high risk (CHR) for schizophrenia is defined as the presence of brief, attenuated, or intermittent psychotic symptoms in non-schizophrenic individuals. The transition to schizophrenia appears significantly more frequent in this at-risk population than in the general population. Moreover, the ability to attribute mental states to others, known as mentalizing or theory of mind, and its neural correlates found in individuals with CHR are similar to those described in patients with schizophrenia. We have therefore explored neurofunctional correlates of mentalizing in individuals with CHR vs. healthy controls, in order to identify the differences in brain activation. A neural coordinate-based activation likelihood estimation meta-analysis of existing neuroimaging data revealed that three regions displayed decreased activation in individuals with CHR, compared with healthy controls: the right temporoparietal junction, the right middle temporal gyrus, and the left precuneus. These results, combined with those in the literature, further support the hypothesis that abnormal activation of posterior brain regions involved in mentalizing correlates with psychotic symptoms in help-seeking individuals.
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Affiliation(s)
- Ksenija Vucurovic
- Laboratory Cognition, Santé, Société (C2S), Department of Psychology, University of Reims Champagne Ardenne, Reims, France
- Centre Rémois de Psychothérapie et Neuromodulation, Reims, France
| | - Stéphanie Caillies
- Laboratory Cognition, Santé, Société (C2S), Department of Psychology, University of Reims Champagne Ardenne, Reims, France
| | - Arthur Kaladjian
- Laboratory Cognition, Santé, Société (C2S), Department of Psychology, University of Reims Champagne Ardenne, Reims, France
- Pôle Universitaire de Psychiatrie, CHU de Reims, EPSM Marne, Reims, France
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15
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Nägele FL, Pasternak O, Bitzan LV, Mußmann M, Rauh J, Kubicki M, Leicht G, Shenton ME, Lyall AE, Mulert C. Cellular and extracellular white matter alterations indicate conversion to psychosis among individuals at clinical high-risk for psychosis. World J Biol Psychiatry 2021; 22:214-227. [PMID: 32643526 PMCID: PMC7798359 DOI: 10.1080/15622975.2020.1775890] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
Abstract
OBJECTIVES It is important to find biomarkers associated with transition to illness in individuals at clinical high-risk for psychosis (CHR). Here, we use free-water imaging, an advanced diffusion MRI technique, to identify white matter alterations in the brains of CHR subjects who subsequently develop psychosis (CHR-P) compared to those who do not (CHR-NP). METHODS Twenty-four healthy controls (HC) and 30 CHR individuals, 8 of whom converted to schizophrenia after a mean follow-up of 15.16 months, received baseline MRI scans. Maps of fractional anisotropy (FA), FA of cellular tissue (FAT), and extracellular free-water (FW) were extracted using tract-based spatial statistics after which voxel-wise non-parametric group statistics and correlations with symptom severity were performed. RESULTS There were no significant differences between HCs and the combined CHR group. However, prior to conversion, CHR-P showed widespread lower FA compared to CHR-NP (pFWE < 0.05). FA changes in CHR-P were associated with significantly lower FAT and higher FW, compared to CHR-NP. Positive symptoms correlated significantly with diffusion parameters in similar regions as those discriminating CHR-P from CHR-NP. CONCLUSIONS Our study suggests that cellular (FAT) and extracellular (FW) white matter alterations are associated with positive symptom severity and indicate an elevated illness risk among CHR individuals.
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Affiliation(s)
- Felix L. Nägele
- Psychiatry Neuroimaging Branch, Department of Psychiatry and Psychotherapy, University Medical Center Hamburg-Eppendorf, University of Hamburg, Hamburg, Germany;,Psychiatry Neuroimaging Laboratory, Department of Psychiatry, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA
| | - Ofer Pasternak
- Psychiatry Neuroimaging Laboratory, Department of Psychiatry, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA;,Department of Radiology, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA
| | - Lisa V. Bitzan
- Psychiatry Neuroimaging Branch, Department of Psychiatry and Psychotherapy, University Medical Center Hamburg-Eppendorf, University of Hamburg, Hamburg, Germany;,Psychiatry Neuroimaging Laboratory, Department of Psychiatry, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA
| | - Marius Mußmann
- Psychiatry Neuroimaging Branch, Department of Psychiatry and Psychotherapy, University Medical Center Hamburg-Eppendorf, University of Hamburg, Hamburg, Germany
| | - Jonas Rauh
- Psychiatry Neuroimaging Branch, Department of Psychiatry and Psychotherapy, University Medical Center Hamburg-Eppendorf, University of Hamburg, Hamburg, Germany
| | - Marek Kubicki
- Psychiatry Neuroimaging Laboratory, Department of Psychiatry, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA;,Department of Radiology, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA;,Department of Psychiatry, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Gregor Leicht
- Psychiatry Neuroimaging Branch, Department of Psychiatry and Psychotherapy, University Medical Center Hamburg-Eppendorf, University of Hamburg, Hamburg, Germany
| | - Martha E. Shenton
- Psychiatry Neuroimaging Laboratory, Department of Psychiatry, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA;,Department of Radiology, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA;,Department of Psychiatry, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA;,VA Boston Healthcare System, Brockton Division, Brockton, MA, USA
| | - Amanda E. Lyall
- Psychiatry Neuroimaging Laboratory, Department of Psychiatry, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA;,Department of Psychiatry, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Christoph Mulert
- Psychiatry Neuroimaging Branch, Department of Psychiatry and Psychotherapy, University Medical Center Hamburg-Eppendorf, University of Hamburg, Hamburg, Germany;,Centre for Psychiatry and Psychotherapy, Justus-Liebig-University, Giessen, Germany
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16
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Nasrallah HA. The pro- and con-debate about the at-risk state and early intervention: A commentary. Schizophr Res 2021; 227:18-19. [PMID: 32527678 DOI: 10.1016/j.schres.2020.05.004] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/22/2020] [Revised: 04/28/2020] [Accepted: 05/03/2020] [Indexed: 12/13/2022]
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17
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Evermann U, Gaser C, Besteher B, Langbein K, Nenadić I. Cortical Gyrification, Psychotic-Like Experiences, and Cognitive Performance in Nonclinical Subjects. Schizophr Bull 2020; 46:1524-1534. [PMID: 32691058 PMCID: PMC7707080 DOI: 10.1093/schbul/sbaa068] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/04/2023]
Abstract
BACKGROUND Psychotic-like experiences (PLE) are present in nonclinical populations, yet their association with brain structural variation, especially markers of early neurodevelopment, is poorly understood. We tested the hypothesis that cortical surface gyrification, a putative marker of early brain development, is associated with PLE in healthy subjects. METHODS We analyzed gyrification from 3 Tesla MRI scans (using CAT12 software) and PLE (positive, negative, and depressive symptom dimensions derived from the Community Assessment of Psychic Experiences, CAPE) in 103 healthy participants (49 females, mean age 29.13 ± 9.37 years). A subsample of 63 individuals completed tasks from the Wechsler Adult Intelligence Scale and Controlled Oral Word Association Test. Estimated IQ and a composite neuropsychological score were used to explore mediation pathways via cognition. RESULTS Positive PLE distress was negatively associated with gyrification of the left precuneus. PLE depression dimension showed a negative association with gyrification in the right supramarginal and temporal region. There was no significant mediating effect of cognition on these associations. CONCLUSION Our results support a neurobiological psychosis spectrum, for the first time linking an early developmental imaging marker (rather than volume) to dimensional subclinical psychotic symptoms. While schizophrenia risk, neurodevelopment, and cognitive function might share genetic risk factors, additional mediation analyses did not confirm a mediating effect of cognition on the gyrification-psychopathology correlation.
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Affiliation(s)
- Ulrika Evermann
- Cognitive Neuropsychiatry Lab, Department of Psychiatry and Psychotherapy, Philipps-Universität Marburg, Marburg, Germany
- Center for Mind, Brain and Behavior (CMBB), Marburg, Germany
| | - Christian Gaser
- Department of Psychiatry and Psychotherapy, Jena University Hospital, Jena, Germany
- Department of Neurology, Jena University Hospital, Jena, Germany
| | - Bianca Besteher
- Department of Psychiatry and Psychotherapy, Jena University Hospital, Jena, Germany
| | - Kerstin Langbein
- Department of Psychiatry and Psychotherapy, Jena University Hospital, Jena, Germany
| | - Igor Nenadić
- Cognitive Neuropsychiatry Lab, Department of Psychiatry and Psychotherapy, Philipps-Universität Marburg, Marburg, Germany
- Center for Mind, Brain and Behavior (CMBB), Marburg, Germany
- Marburg University Hospital – UKGM, Marburg, Germany
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18
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Hou J, Schmitt S, Meller T, Falkenberg I, Chen J, Wang J, Zhao X, Shi J, Nenadić I. Cortical Complexity in People at Ultra-High-Risk for Psychosis Moderated by Childhood Trauma. Front Psychiatry 2020; 11:594466. [PMID: 33244301 PMCID: PMC7685197 DOI: 10.3389/fpsyt.2020.594466] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/13/2020] [Accepted: 10/19/2020] [Indexed: 11/13/2022] Open
Abstract
Subjects with ultra-high risk (UHR) states for psychosis show brain structural volume changes similar to first-episode psychosis and also elevated incidence of environmental risk factors like childhood trauma. It is unclear, however, whether early neurodevelopmental trajectories are altered in UHR. We screened a total of 12,779 first-year Chinese students to enroll 36 UHR subjects (based on clinical interviews) and 59 non-UHR healthy controls for a case-control study of markers of early neurodevelopment. Subjects underwent 3T MRI scanning and clinical characterization, including the childhood trauma questionnaire (CTQ). We then used the CAT12 toolbox to analyse structural brain scans for cortical surface complexity, a spherical harmonics-based marker of early neurodevelopmental changes. While we did not find statistically significant differences between the groups, a trend level finding for reduced cortical complexity (CC) in UHR vs. non-UHR subjects emerged in the left superior temporal cortex (and adjacent insular and transverse temporal cortices), and this trend level association was significantly moderated by childhood trauma (CTQ score). Our findings indicate that UHR subjects tend to show abnormal cortical surface morphometry, in line with recent research; more importantly, however, this association seems to be considerably modulated by early environmental impacts. Hence, our results provide an indication of environmental or gene × environment interactions on early neurodevelopment leading up to elevated psychosis risk.
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Affiliation(s)
- Jiaojiao Hou
- Shanghai East Hospital, Tongji University School of Medicine, Shanghai, China
- Department of Psychiatry and Psychotherapy, Philipps-Universität Marburg and Marburg University Hospital, Marburg, Germany
| | - Simon Schmitt
- Department of Psychiatry and Psychotherapy, Philipps-Universität Marburg and Marburg University Hospital, Marburg, Germany
- Center for Mind, Brain, and Behavior, Philipps-Universität Marburg, Marburg, Germany
| | - Tina Meller
- Department of Psychiatry and Psychotherapy, Philipps-Universität Marburg and Marburg University Hospital, Marburg, Germany
- Center for Mind, Brain, and Behavior, Philipps-Universität Marburg, Marburg, Germany
| | - Irina Falkenberg
- Department of Psychiatry and Psychotherapy, Philipps-Universität Marburg and Marburg University Hospital, Marburg, Germany
- Center for Mind, Brain, and Behavior, Philipps-Universität Marburg, Marburg, Germany
| | - Jianxing Chen
- Tongji University School of Medicine, Shanghai, China
| | - Jiayi Wang
- Tongji University School of Medicine, Shanghai, China
| | - Xudong Zhao
- Shanghai East Hospital, Tongji University School of Medicine, Shanghai, China
- Shanghai Pudong New Area Mental Health Center, Tongji University School of Medicine, Shanghai, China
| | - Jingyu Shi
- Shanghai Pudong New Area Mental Health Center, Tongji University School of Medicine, Shanghai, China
- Division of Medical Humanities & Behavioral Sciences, Tongji University School of Medicine, Shanghai, China
| | - Igor Nenadić
- Department of Psychiatry and Psychotherapy, Philipps-Universität Marburg and Marburg University Hospital, Marburg, Germany
- Center for Mind, Brain, and Behavior, Philipps-Universität Marburg, Marburg, Germany
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Liang C, Cheng S, Cheng B, Ma M, Zhang L, Qi X, Liu L, Kafle OP, Li P, Wen Y, Zhang F. A large-scale genetic correlation scan identified the plasma proteins associated with brain function related traits. Brain Res Bull 2020; 158:84-89. [PMID: 32119964 DOI: 10.1016/j.brainresbull.2020.02.017] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/01/2019] [Revised: 02/25/2020] [Accepted: 02/27/2020] [Indexed: 12/18/2022]
Abstract
AIMS Insomnia, intelligence and neuroticism are three typical traits and dysfunctions mainly regulated by human brain. Our research aimed to explore the potential genetic relationships between brain function related traits and more than 3000 human plasma proteins. MATERIALS AND METHODS We conducted a large-scale genetic correlation scan of human plasma proteins and three brain function related traits, including insomnia, intelligence and neuroticism. Linkage disequilibrium score regression (LDSC) analysis was performed to estimate the genetic correlations between each of the blood proteins and insomnia, intelligence and neuroticism via utilizing the genome-wide association study summary statistics of plasma proteins and those three traits. RESULTS LDSC analysis identified 18 specific plasma proteins shown suggestive genetic correlations with insomnia such as Periostin (coefficient=-0.3910, P value = 0.0070). Twenty-one plasma proteins exhibited genetic correlations with intelligence such as Ecto-ADP-ribosyltransferase 3 (coefficient = 0.3066, P value = 0.0013). Six specific plasma proteins shown suggestive genetic correlations with neuroticism, such as CD70 antigen (coefficient = 0.2979, P value = 0.0134). After further comparing the suggestive proteins between insomnia, intelligence and neuroticism, we detected 3 common plasma proteins shared by insomnia and intelligence such as Periostin (coefficient insomnia =-0.3910, Pinsomnia value = 0.0070; coefficient intelligence =0.2673, Pintelligence value = 0.0159) and Neurexin-1 (coefficient insomnia =-0.2913, Pinsomnia value = 0.0197; coefficient intelligence = 0.2399, Pintelligence value = 0.0035). We also detected 2 common plasma proteins shared by intelligence and neuroticism, including CD70 antigen (coefficient intelligence =-0.2092, Pintelligence value = 0.0337; coefficient neuroticism = 0.2979, Pneuroticism value = 0.0134). CONCLUSION Our results provide novel clues for unveiling the functional relevance of plasma proteins and brain function related traits.
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Affiliation(s)
- Chujun Liang
- Key Laboratory of Trace Elements and Endemic Diseases of National Health and Family Planning Commission, School of Public Health, Health Science Center, Xi'an Jiaotong University, Xi'an, PR China
| | - Shiqiang Cheng
- Key Laboratory of Trace Elements and Endemic Diseases of National Health and Family Planning Commission, School of Public Health, Health Science Center, Xi'an Jiaotong University, Xi'an, PR China
| | - Bolun Cheng
- Key Laboratory of Trace Elements and Endemic Diseases of National Health and Family Planning Commission, School of Public Health, Health Science Center, Xi'an Jiaotong University, Xi'an, PR China
| | - Mei Ma
- Key Laboratory of Trace Elements and Endemic Diseases of National Health and Family Planning Commission, School of Public Health, Health Science Center, Xi'an Jiaotong University, Xi'an, PR China
| | - Lu Zhang
- Key Laboratory of Trace Elements and Endemic Diseases of National Health and Family Planning Commission, School of Public Health, Health Science Center, Xi'an Jiaotong University, Xi'an, PR China
| | - Xin Qi
- Key Laboratory of Trace Elements and Endemic Diseases of National Health and Family Planning Commission, School of Public Health, Health Science Center, Xi'an Jiaotong University, Xi'an, PR China
| | - Li Liu
- Key Laboratory of Trace Elements and Endemic Diseases of National Health and Family Planning Commission, School of Public Health, Health Science Center, Xi'an Jiaotong University, Xi'an, PR China
| | - Om Prakash Kafle
- Key Laboratory of Trace Elements and Endemic Diseases of National Health and Family Planning Commission, School of Public Health, Health Science Center, Xi'an Jiaotong University, Xi'an, PR China
| | - Ping Li
- Key Laboratory of Trace Elements and Endemic Diseases of National Health and Family Planning Commission, School of Public Health, Health Science Center, Xi'an Jiaotong University, Xi'an, PR China
| | - Yan Wen
- Key Laboratory of Trace Elements and Endemic Diseases of National Health and Family Planning Commission, School of Public Health, Health Science Center, Xi'an Jiaotong University, Xi'an, PR China
| | - Feng Zhang
- Key Laboratory of Trace Elements and Endemic Diseases of National Health and Family Planning Commission, School of Public Health, Health Science Center, Xi'an Jiaotong University, Xi'an, PR China.
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Hinney B, Walter A, Aghlmandi S, Andreou C, Borgwardt S. Does Hippocampal Volume Predict Transition to Psychosis in a High-Risk Group? A Meta-Analysis. Front Psychiatry 2020; 11:614659. [PMID: 33519555 PMCID: PMC7840882 DOI: 10.3389/fpsyt.2020.614659] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/06/2020] [Accepted: 12/14/2020] [Indexed: 01/11/2023] Open
Abstract
Schizophrenia has a prodromal phase of several years in most patients, making it possible to identify patients at clinical high risk (CHR) for developing the disorder. So far, these individuals are identified based on clinical criteria alone, and there is no reliable biomarker for predicting the transition to psychosis. It is well-established that reductions in brain volume, especially in the hippocampus, are associated with schizophrenia. Therefore, hippocampal volume may serve as a biomarker for psychosis. Several studies have already investigated hippocampal volume in CHR groups. Based on these studies, the present meta-analysis compares the baseline left and right hippocampal volume of CHR patients who developed a psychosis with that of CHR patients without such a transition. Our results show no statistically significant effect of the hippocampal volume on the transition risk for psychosis.
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Affiliation(s)
- Bernd Hinney
- Department of Psychiatry (UPK), University of Basel, Basel, Switzerland
| | - Anna Walter
- Department of Psychiatry (UPK), University of Basel, Basel, Switzerland
| | - Soheila Aghlmandi
- Basel Institute for Clinical Epidemiology and Biostatistics, University Hospital Basel, Basel, Switzerland
| | - Christina Andreou
- Department of Psychiatry (UPK), University of Basel, Basel, Switzerland
| | - Stefan Borgwardt
- Department of Psychiatry (UPK), University of Basel, Basel, Switzerland
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21
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Kindler J, Michel C, Schultze-Lutter F, Felber G, Hauf M, Schimmelmann BG, Kaess M, Hubl D, Walther S. Functional and structural correlates of abnormal involuntary movements in psychosis risk and first episode psychosis. Schizophr Res 2019; 212:196-203. [PMID: 31405623 DOI: 10.1016/j.schres.2019.07.032] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/12/2019] [Revised: 07/18/2019] [Accepted: 07/21/2019] [Indexed: 12/18/2022]
Abstract
BACKGROUND Abnormal involuntary movements (AIM) may occur throughout the course of psychosis. While AIM are thought to indicate striatal abnormalities, the functional and structural correlates of increased AIM remain elusive. Here, we examined the prevalence of AIM in patients with clinical high risk for psychosis (CHR), first episode psychosis (FEP) and clinical controls (CC). Furthermore, we tested the association of AIM with regional cerebral blood flow (rCBF), grey matter volume (GMV), and premorbid IQ. METHODS We conducted a video-based analysis of AIM in patients with CHR (n = 45), FEP (n = 10) and CC (n = 39), recruited in the Early Detection and Intervention Center, Bern. Premorbid intelligence was evaluated using the Peabody Picture Vocabulary test. Additionally, arterial spin labeling MRIs and structural MRIs were acquired in a subgroup of the sample to investigate the association of AIM with rCBF and GMV. RESULTS Higher total AIM scores were detected in CHR (p = 0.02) and FEP (p = 0.04) as compared to CC. When separated for different muscle groups, lips and perioral movements were significantly increased in CHR patients as compared to CC (p = 0.009). AIM scores correlated positively with rCBF in the premotor cortex, Brodmann area 6 (p < 0.05, FWE corrected). Negative correlations were found between AIM and GMV of the corresponding caudal middle frontal gyrus (p = 0.04, FWE corrected) and premorbid intelligence (p = 0.02). CONCLUSIONS AIM were more frequent in the psychosis spectrum than in clinical controls. Neuroimaging findings indicate an involvement of cortical motor areas in abnormal motor behavior, instead of pure basal ganglia pathology.
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Affiliation(s)
- Jochen Kindler
- University Hospital of Child and Adolescent Psychiatry and Psychotherapy, University of Bern, Switzerland.
| | - Chantal Michel
- University Hospital of Child and Adolescent Psychiatry and Psychotherapy, University of Bern, Switzerland
| | - Frauke Schultze-Lutter
- University Hospital of Child and Adolescent Psychiatry and Psychotherapy, University of Bern, Switzerland; Department of Psychiatry and Psychotherapy, Medical Faculty, Heinrich-Heine-University, Düsseldorf, Germany
| | - Gwendolin Felber
- University Hospital of Child and Adolescent Psychiatry and Psychotherapy, University of Bern, Switzerland
| | - Martinus Hauf
- Support Center for Advanced Neuroimaging (SCAN), Institute for Diagnostic and Interventional Neuroradiology, University of Bern, Switzerland
| | - Benno G Schimmelmann
- University Hospital of Child and Adolescent Psychiatry and Psychotherapy, University of Bern, Switzerland; University Hospital of Child and Adolescent Psychiatry, University Hospital Hamburg Eppendorf, Hamburg, Germany
| | - Michael Kaess
- University Hospital of Child and Adolescent Psychiatry and Psychotherapy, University of Bern, Switzerland; Section for Translational Psychobiology in Child and Adolescent Psychiatry, Clinic for Child and Adolescent Psychiatry, University Hospital Heidelberg, Germany
| | - Daniela Hubl
- Translational Research Center, University Hospital of Psychiatry, University of Bern, Bern, Switzerland
| | - Sebastian Walther
- Translational Research Center, University Hospital of Psychiatry, University of Bern, Bern, Switzerland
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22
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Fraguas D, Díaz-Caneja CM, Ayora M, Hernández-Álvarez F, Rodríguez-Quiroga A, Recio S, Leza JC, Arango C. Oxidative Stress and Inflammation in First-Episode Psychosis: A Systematic Review and Meta-analysis. Schizophr Bull 2019; 45:742-751. [PMID: 30169868 PMCID: PMC6581144 DOI: 10.1093/schbul/sby125] [Citation(s) in RCA: 171] [Impact Index Per Article: 34.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
Despite mixed findings, increasing evidence suggests that people with first-episode psychosis (FEP) show increased pro-inflammatory and pro-oxidative status. We used the Preferred Reporting Items for Systematic Reviews and Meta-analyses (PRISMA) guidelines to conduct a systematic literature search of cross-sectional studies comparing in vivo inflammatory and oxidative blood markers between FEP patients and healthy controls. We analyzed 61 independent samples from 59 publications, including 3002 patients with FEP (ie, patients with FEP, early psychosis, first-episode schizophrenia or early schizophrenia) and 2806 controls. After controlling for multiple comparisons, our meta-analysis showed that total antioxidant status and docosahexaenoic acid levels were significantly lower in FEP patients than in controls, whereas levels of homocysteine, interleukin-6 and tumor necrosis factor alpha were significantly higher in FEP patients than in controls. This suggests that FEP patients had reduced antioxidant status and a pro-inflammatory imbalance, and that these biological processes may be targets for managing FEP.
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Affiliation(s)
- David Fraguas
- Department of Child and Adolescent Psychiatry, Hospital General Universitario Gregorio Marañón, IiSGM, School of Medicine, Universidad Complutense, Madrid, Spain,Biomedical Network Research Center on Mental Health (CIBERSAM), Institute of Salud Carlos III, Madrid, Spain,To whom correspondence should be addressed; Department of Child and Adolescent Psychiatry, Hospital General Universitario Gregorio Marañón, CIBERSAM, Calle Ibiza 43, 28009 Madrid, Spain; tel: +34914265005, fax: +34914265004, e-mail:
| | - Covadonga M Díaz-Caneja
- Department of Child and Adolescent Psychiatry, Hospital General Universitario Gregorio Marañón, IiSGM, School of Medicine, Universidad Complutense, Madrid, Spain,Biomedical Network Research Center on Mental Health (CIBERSAM), Institute of Salud Carlos III, Madrid, Spain
| | - Miriam Ayora
- Department of Child and Adolescent Psychiatry, Hospital General Universitario Gregorio Marañón, IiSGM, School of Medicine, Universidad Complutense, Madrid, Spain,Biomedical Network Research Center on Mental Health (CIBERSAM), Institute of Salud Carlos III, Madrid, Spain
| | - Fabián Hernández-Álvarez
- Department of Child and Adolescent Psychiatry, Hospital General Universitario Gregorio Marañón, IiSGM, School of Medicine, Universidad Complutense, Madrid, Spain
| | - Alberto Rodríguez-Quiroga
- Department of Child and Adolescent Psychiatry, Hospital General Universitario Gregorio Marañón, IiSGM, School of Medicine, Universidad Complutense, Madrid, Spain
| | - Sandra Recio
- Department of Child and Adolescent Psychiatry, Hospital General Universitario Gregorio Marañón, IiSGM, School of Medicine, Universidad Complutense, Madrid, Spain,Biomedical Network Research Center on Mental Health (CIBERSAM), Institute of Salud Carlos III, Madrid, Spain
| | - Juan C Leza
- Biomedical Network Research Center on Mental Health (CIBERSAM), Institute of Salud Carlos III, Madrid, Spain,Department of Pharmacology, School of Medicine, Universidad Complutense; Hospital 12 de Octubre, Imas12 & IUINQ, Ciudad Universitaria, Madrid, Spain
| | - Celso Arango
- Department of Child and Adolescent Psychiatry, Hospital General Universitario Gregorio Marañón, IiSGM, School of Medicine, Universidad Complutense, Madrid, Spain,Biomedical Network Research Center on Mental Health (CIBERSAM), Institute of Salud Carlos III, Madrid, Spain
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23
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Konishi J, Del Re EC, Bouix S, Blokland GAM, Mesholam-Gately R, Woodberry K, Niznikiewicz M, Goldstein J, Hirayasu Y, Petryshen TL, Seidman LJ, Shenton ME, McCarley RW. Abnormal relationships between local and global brain measures in subjects at clinical high risk for psychosis: a pilot study. Brain Imaging Behav 2019; 12:974-988. [PMID: 28815390 DOI: 10.1007/s11682-017-9758-z] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
We examined whether abnormal volumes of several brain regions as well as their mutual associations that have been observed in patients with schizophrenia, are also present in individuals at clinical high-risk (CHR) for developing psychosis. 3T magnetic resonance imaging was acquired in 19 CHR and 20 age- and handedness-matched controls. Volumes were measured for the body and temporal horns of the lateral ventricles, hippocampus and amygdala as well as total brain, cortical gray matter, white matter, and subcortical gray matter volumes. Relationships between volumes as well as correlations between volumes and cognitive and clinical measures were explored. Ratios of lateral ventricular volume to total brain volume and temporal horn volume to total brain volume were calculated. Volumetric abnormalities were lateralized to the left hemisphere. Volumes of the left temporal horn, and marginally, of the body of the left lateral ventricle were larger, while left amygdala but not hippocampal volume was significantly smaller in CHR participants compared to controls. Total brain volume was also significantly smaller and the ratio of the temporal horn/total brain volume was significantly higher in CHR than in controls. White matter volume correlated positively with higher verbal fluency score while temporal horn volume correlated positively with a greater number of perseverative errors. Together with the finding of larger temporal horns and smaller amygdala volumes in the left hemisphere, these results indicate that the ratio of temporal horns volume to brain volume is abnormal in CHR compared to controls. These abnormalities present in CHR individuals may constitute the biological basis for at least some of the CHR syndrome.
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Affiliation(s)
- Jun Konishi
- Laboratory of Neuroscience, Department of Psychiatry, VA Boston Healthcare System, Brockton Division, and Harvard Medical School, Boston, MA, USA.,Psychiatry Neuroimaging Laboratory, Department of Psychiatry, Brigham and Women's Hospital, and Harvard Medical School, Boston, MA, USA.,Department of Psychiatry, Graduate School of Medicine, Yokohama City University, Yokohama, Japan
| | - Elisabetta C Del Re
- Laboratory of Neuroscience, Department of Psychiatry, VA Boston Healthcare System, Brockton Division, and Harvard Medical School, Boston, MA, USA. .,Psychiatry Neuroimaging Laboratory, Department of Psychiatry, Brigham and Women's Hospital, and Harvard Medical School, Boston, MA, USA.
| | - Sylvain Bouix
- Psychiatry Neuroimaging Laboratory, Department of Psychiatry, Brigham and Women's Hospital, and Harvard Medical School, Boston, MA, USA
| | - Gabriëlla A M Blokland
- Psychiatric and Neurodevelopmental Genetics Unit, Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA.,Department of Psychiatry, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
| | - Raquelle Mesholam-Gately
- Massachusetts Mental Health Center Public Psychiatry Division of the Beth Israel Deaconess Medical Center, and Harvard Medical School, Boston, MA, USA
| | - Kristen Woodberry
- Massachusetts Mental Health Center Public Psychiatry Division of the Beth Israel Deaconess Medical Center, and Harvard Medical School, Boston, MA, USA
| | - Margaret Niznikiewicz
- Laboratory of Neuroscience, Department of Psychiatry, VA Boston Healthcare System, Brockton Division, and Harvard Medical School, Boston, MA, USA
| | - Jill Goldstein
- Brigham and Women's Hospital, Connors Center for Women's Health and Gender Biology, Boston, MA, USA.,Health and Gender Biology, Boston, MA, USA.,Departments of Psychiatry and Medicine, Harvard Medical School, Boston, MA, USA
| | - Yoshio Hirayasu
- Department of Psychiatry, Graduate School of Medicine, Yokohama City University, Yokohama, Japan
| | - Tracey L Petryshen
- Psychiatric and Neurodevelopmental Genetics Unit, Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA.,Department of Psychiatry, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
| | - Larry J Seidman
- Department of Psychiatry, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA.,Massachusetts Mental Health Center Public Psychiatry Division of the Beth Israel Deaconess Medical Center, and Harvard Medical School, Boston, MA, USA
| | - Martha E Shenton
- Psychiatry Neuroimaging Laboratory, Department of Psychiatry, Brigham and Women's Hospital, and Harvard Medical School, Boston, MA, USA.,Department of Radiology, Brigham and Women's Hospital, and Harvard Medical School, Boston, MA, USA.,Research and Development, VA Boston Healthcare System, Boston, MA, USA
| | - Robert W McCarley
- Laboratory of Neuroscience, Department of Psychiatry, VA Boston Healthcare System, Brockton Division, and Harvard Medical School, Boston, MA, USA
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24
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Metabolic-inflammatory status as predictor of clinical outcome at 1-year follow-up in patients with first episode psychosis. Psychoneuroendocrinology 2019; 99:145-153. [PMID: 30243054 DOI: 10.1016/j.psyneuen.2018.09.005] [Citation(s) in RCA: 26] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/21/2018] [Revised: 07/31/2018] [Accepted: 09/07/2018] [Indexed: 12/30/2022]
Abstract
BACKGROUND Metabolic abnormalities and peripheral inflammation have been increasingly reported in patients at the onset of psychosis and associated with important physical health disorders and increased mortality. However, the impact of an abnormal metabolic-inflammatory status on the psychiatric outcome of these patients has not yet been investigated. OBJECTIVES The aims of this study were 1) to explore whether, in a sample of patients at their first episode of psychosis (FEP), an overall metabolic-inflammatory status may be measured, by combining metabolic and inflammatory variables in metabolic-inflammatory factors; 2) to explore the association between these factors and clinical outcome at 1-year follow-up (FU), in terms of symptoms severity and treatment response. METHODS In this longitudinal study we recruited 42 FEP patients and 46 healthy controls (HC) matched with patients for age, gender and ethnicity. At baseline (T1) we measured high sensitivity C-reactive protein (hsCRP) as biomarker of inflammation, and body mass index (BMI), lipid profile and gluco-metabolic parameters (glycated hemoglobin (HbA1c) and fasting glucose) as metabolic variables. A principal component analysis (PCA) was then used to reduce the dimensionality of the dataset accounting for both inflammation and metabolic status. In FEP patients, we assessed symptoms severity at T1 and at 1-year FU (T2) as well as treatment response to antipsychotics at T2. RESULTS at T1, FEP showed higher HbA1c (p = 0.034), triglycerides (TG) (p = 0.045) and BMI (p = 0.026) than HC. PCA identified 3 factors: factor 1 accounting for hsCRP, TG and BMI, factor 2 accounting for LDL and cholesterol, and factor 3 accounting for fasting glucose and HbA1c. Factor 1 was associated with T1 negative symptoms severity (p = 0.021) and predicted T2 positive (p = 0.004) and overall symptoms severity (0.001), as well as general psychopathology (p < 0.001) and T2 treatment response (p = 0.007). CONCLUSION In this sample of FEP patients, inflammation and metabolism, closely correlated at the onset of psychosis, proved to play a key role as predictors of the clinical course of psychosis when combined in a single factor. These findings offer an important potential target for early screening and interventions.
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25
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Bigler ED, Finuf C, Abildskov TJ, Goodrich-Hunsaker NJ, Petrie JA, Wood DM, Hesselink JR, Wilde EA, Max JE. Cortical thickness in pediatric mild traumatic brain injury including sports-related concussion. Int J Psychophysiol 2018; 132:99-104. [DOI: 10.1016/j.ijpsycho.2018.07.474] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2017] [Revised: 07/07/2018] [Accepted: 07/18/2018] [Indexed: 12/18/2022]
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26
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English JA, Lopez LM, O’Gorman A, Föcking M, Hryniewiecka M, Scaife C, Sabherwal S, Wynne K, Dicker P, Rutten BPF, Lewis G, Zammit S, Cannon M, Cagney G, Cotter DR. Blood-Based Protein Changes in Childhood Are Associated With Increased Risk for Later Psychotic Disorder: Evidence From a Nested Case-Control Study of the ALSPAC Longitudinal Birth Cohort. Schizophr Bull 2018; 44:297-306. [PMID: 29036721 PMCID: PMC5814944 DOI: 10.1093/schbul/sbx075] [Citation(s) in RCA: 46] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
The identification of early biological changes associated with the psychotic disorder (PD) is important as it may provide clues to the underlying pathophysiological mechanisms. We undertook the first proteomic profiling of blood plasma samples of children who later develop a PD. Participants were recruited from the UK Avon Longitudinal Study of Parents and Children (ALSPAC) cohort who also participated in psychiatric assessment interviews at age 18. Protein expression levels at age 11 were compared between individuals who developed PD at age 18 (n = 37) with population-based age-matched controls (n = 38). Sixty out of 181 plasma proteins profiled were found to be differentially expressed (P < .05) in children with an outcome of the PD. Thirty-four of these proteins were found to be differentially expressed following correction for multiple comparisons. Pathway analysis implicated the complement and coagulation cascade. A second, targeted proteomic approach was used to verify these findings in age 11 plasma from subjects who reported psychotic experiences at age 18 (n = 40) in comparison to age-matched controls (n = 66). Our findings indicate that the complement and coagulation system is dysregulated in the blood during childhood before the development of the PD.
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Affiliation(s)
- Jane A English
- Department of Psychiatry, Royal College of Surgeons in Ireland, Dublin, Ireland
| | - Lorna M Lopez
- Department of Psychiatry, Royal College of Surgeons in Ireland, Dublin, Ireland
| | - Aoife O’Gorman
- Department of Psychiatry, Royal College of Surgeons in Ireland, Dublin, Ireland
| | - Melanie Föcking
- Department of Psychiatry, Royal College of Surgeons in Ireland, Dublin, Ireland
| | | | - Caitriona Scaife
- School of Biomolecular and Biomedical Science, Conway Institute, University College Dublin (UCD), Dublin, Ireland
| | - Sophie Sabherwal
- Department of Psychiatry, Royal College of Surgeons in Ireland, Dublin, Ireland
| | - Kieran Wynne
- School of Biomolecular and Biomedical Science, Conway Institute, University College Dublin (UCD), Dublin, Ireland
| | - Patrick Dicker
- Department of Epidemiology and Public Health, Royal College of Surgeons in Ireland, Dublin, Ireland
| | - Bart P F Rutten
- Department of Psychiatry & Neuropsychology, School for Mental Health and Neuroscience, Division of Neuroscience, Maastricht University, Maastricht, The Netherlands
| | | | - Stanley Zammit
- MRC Centre for Neuropsychiatric Genetics & Genomics, Cardiff University, Cardiff, UK
- School of Social and Community Medicine, University of Bristol, Bristol, UK
| | - Mary Cannon
- Department of Psychiatry, Royal College of Surgeons in Ireland, Dublin, Ireland
| | - Gerard Cagney
- School of Biomolecular and Biomedical Science, Conway Institute, University College Dublin (UCD), Dublin, Ireland
| | - David R Cotter
- Department of Psychiatry, Royal College of Surgeons in Ireland, Dublin, Ireland
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27
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Hengartner MP, Heekeren K, Dvorsky D, Walitza S, Rössler W, Theodoridou A. Course of psychotic symptoms, depression and global functioning in persons at clinical high risk of psychosis: Results of a longitudinal observation study over three years focusing on both converters and non-converters. Schizophr Res 2017; 189:19-26. [PMID: 28139360 DOI: 10.1016/j.schres.2017.01.040] [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] [Received: 12/19/2016] [Revised: 01/23/2017] [Accepted: 01/24/2017] [Indexed: 11/27/2022]
Abstract
The aim of this study was to test the validity of the CHR state by focusing on the course of psychosis spectrum symptoms, depression and global functioning in converters and non-converters. A total of 188 CHR-positive subjects (60.2% men) aged between 13 and 35years (mean=20.5) at study outset were assessed five times (t0-t4) over a total observation period of 36months. Conversion to manifest psychosis was defined according to ICD-10 criteria for schizophrenia (F20) or brief psychotic disorder (F23). Measures of positive and negative symptoms were assessed with the Structured Interview for Prodromal Syndromes (SIPS), depression with the Calgary Depression Scale (CDS), and global functioning with the Global Assessment of Functioning Scale (GAF). Converters scored higher over time on all SIPS scales apart from grandiosity (Cohen's d: 0.5-0.7; all p<0.001), higher on the CDS (d=0.43, p=0.001) and lower on the GAF (d=0.69, p<0.001) than did non-converters. Positive and negative symptoms as well as depression were most severe at study outset (t0) and then declined sharply following a linear function over the three-year observation period (t1-t4) across groups (all linear contrasts p<0.001). In conclusion, converters showed significantly more psychopathological symptoms and poorer functioning before crossing the diagnostic threshold for manifest psychosis. CHR-subjects who convert to manifest psychosis during follow-up appear to be recovering from illness rather than becoming ill. Major issues involve the poor discrimination of CHR state and psychosis as well as the dichotomous definition of both at-risk and disease states. Further examination in other CHR-samples is warranted.
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Affiliation(s)
- Michael P Hengartner
- Department of Applied Psychology, Zurich University of Applied Sciences, Zurich, Switzerland.
| | - Karsten Heekeren
- Department of Psychiatry, Psychotherapy and Psychosomatics, University Hospital of Psychiatry Zurich, Switzerland
| | - Diane Dvorsky
- Department of Psychiatry, Psychotherapy and Psychosomatics, University Hospital of Psychiatry Zurich, Switzerland
| | - Susanne Walitza
- Department of Child and Adolescent Psychiatry and Psychotherapy, University of Zürich, Switzerland
| | - Wulf Rössler
- Department of Psychiatry, Psychotherapy and Psychosomatics, University Hospital of Psychiatry Zurich, Switzerland; Department of Psychiatry and Psychotherapy, Charité - Universitätsmedizin Berlin, Germany; Institute of Psychiatry, Laboratory of Neuroscience (LIM 27), University of Sao Paulo, Sao Paulo, Brazil
| | - Anastasia Theodoridou
- Department of Psychiatry, Psychotherapy and Psychosomatics, University Hospital of Psychiatry Zurich, Switzerland
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28
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Lottman KK, Kraguljac NV, White DM, Morgan CJ, Calhoun VD, Butt A, Lahti AC. Risperidone Effects on Brain Dynamic Connectivity-A Prospective Resting-State fMRI Study in Schizophrenia. Front Psychiatry 2017; 8:14. [PMID: 28220083 PMCID: PMC5292583 DOI: 10.3389/fpsyt.2017.00014] [Citation(s) in RCA: 31] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/04/2016] [Accepted: 01/17/2017] [Indexed: 12/31/2022] Open
Abstract
Resting-state functional connectivity studies in schizophrenia evaluating average connectivity over the entire experiment have reported aberrant network integration, but findings are variable. Examining time-varying (dynamic) functional connectivity may help explain some inconsistencies. We assessed dynamic network connectivity using resting-state functional MRI in patients with schizophrenia, while unmedicated (n = 34), after 1 week (n = 29) and 6 weeks of treatment with risperidone (n = 24), as well as matched controls at baseline (n = 35) and after 6 weeks (n = 19). After identifying 41 independent components (ICs) comprising resting-state networks, sliding window analysis was performed on IC timecourses using an optimal window size validated with linear support vector machines. Windowed correlation matrices were then clustered into three discrete connectivity states (a relatively sparsely connected state, a relatively abundantly connected state, and an intermediately connected state). In unmedicated patients, static connectivity was increased between five pairs of ICs and decreased between two pairs of ICs when compared to controls, dynamic connectivity showed increased connectivity between the thalamus and somatomotor network in one of the three states. State statistics indicated that, in comparison to controls, unmedicated patients had shorter mean dwell times and fraction of time spent in the sparsely connected state, and longer dwell times and fraction of time spent in the intermediately connected state. Risperidone appeared to normalize mean dwell times after 6 weeks, but not fraction of time. Results suggest that static connectivity abnormalities in schizophrenia may partly be related to altered brain network temporal dynamics rather than consistent dysconnectivity within and between functional networks and demonstrate the importance of implementing complementary data analysis techniques.
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Affiliation(s)
- Kristin K Lottman
- Department of Biomedical Engineering, University of Alabama at Birmingham , Birmingham, AL , USA
| | - Nina V Kraguljac
- Department of Psychiatry and Behavioral Neurobiology, University of Alabama at Birmingham , Birmingham, AL , USA
| | - David M White
- Department of Psychiatry and Behavioral Neurobiology, University of Alabama at Birmingham , Birmingham, AL , USA
| | - Charity J Morgan
- Department of Biostatistics, University of Alabama at Birmingham , Birmingham, AL , USA
| | - Vince D Calhoun
- The Mind Research Network, Albuquerque, NM, USA; Department of Electrical and Computer Engineering, University of New Mexico, Albuquerque, NM, USA
| | - Allison Butt
- Department of Psychiatry and Behavioral Neurobiology, University of Alabama at Birmingham , Birmingham, AL , USA
| | - Adrienne C Lahti
- Department of Psychiatry and Behavioral Neurobiology, University of Alabama at Birmingham , Birmingham, AL , USA
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29
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Sabherwal S, English JA, Föcking M, Cagney G, Cotter DR. Blood biomarker discovery in drug-free schizophrenia: the contribution of proteomics and multiplex immunoassays. Expert Rev Proteomics 2016; 13:1141-1155. [DOI: 10.1080/14789450.2016.1252262] [Citation(s) in RCA: 23] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/01/2023]
Affiliation(s)
- Sophie Sabherwal
- Department of Psychiatry, Royal College of Surgeons in Ireland, ERC Beaumont Hospital, Dublin, Ireland
| | - Jane A. English
- Department of Psychiatry, Royal College of Surgeons in Ireland, ERC Beaumont Hospital, Dublin, Ireland
| | - Melanie Föcking
- Department of Psychiatry, Royal College of Surgeons in Ireland, ERC Beaumont Hospital, Dublin, Ireland
| | - Gerard Cagney
- Proteome Research Centre, UCD Conway Institute of Biomolecular and Biomedical Research, School of Medicine, and Medical Sciences, University College Dublin, Dublin, Ireland
| | - David R. Cotter
- Department of Psychiatry, Royal College of Surgeons in Ireland, ERC Beaumont Hospital, Dublin, Ireland
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30
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Schaub A, Falkai P. Special Supplement Introduction: The Fourth Kraepelin Symposium-Cognitive Dysfunction in Schizophrenia: Origins and Innovative Treatment. Schizophr Bull 2016; 42 Suppl 1:S1-3. [PMID: 27460613 PMCID: PMC4960440 DOI: 10.1093/schbul/sbw068] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/14/2022]
Abstract
This Special Supplement presents reports from working groups meeting at the Fourth Kraepelin Symposium in Munich, Germany, in September 2014. It covers the origins and therapy of cognitive dysfunction in schizophrenia. Cognitive deficits are core symptoms of schizophrenia being decisive for the long-term prognosis only improved moderately by antipsychotic treatment, however, showing more evidence for cognitive remediation. The authors refer to neurobiological and psychological underpinnings of cognitive deficits and to innovative treatment interventions aimed at improving cognitive dysfunction in order to improve outcome and to support coping with the illness. Therapeutic approaches include aerobic exercise, cognitive training, psychoeducation, cognitive therapy, noninvasive brain stimulation and pharmacotherapy in acute to post-acute patients. The supplement also presents novel diagnostic tools for early recognition, such as biomarkers, as well as cognitive training to prevent worsening of symptoms in individuals at clinical high risk for psychosis. In recent years there has been progress in basic science and outcomes research as well as psychopharmacological and psychological treatment options. Despite of this, treatment of cognitive deficits needs significant improvement and further research is needed.
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Affiliation(s)
- Annette Schaub
- Department of Psychiatry and Psychotherapy, Ludwig Maximilian University of Munich, Munich, Germany
| | - Peter Falkai
- Department of Psychiatry and Psychotherapy, Ludwig Maximilian University of Munich, Munich, Germany
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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: 201] [Impact Index Per Article: 25.1] [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.
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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
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