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Ventura J, Subotnik KL, Han S, Hellemann GS, Green MF, Nuechterlein KH. The relationship between sex and functional outcome in first-episode schizophrenia: the role of premorbid adjustment and insight. Psychol Med 2023; 53:6878-6887. [PMID: 38314778 PMCID: PMC10600815 DOI: 10.1017/s0033291723000442] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/31/2022] [Revised: 01/23/2023] [Accepted: 02/08/2023] [Indexed: 02/07/2024]
Abstract
BACKGROUND Studies that examined sex differences in first-episode patients consistently show that males compared to females have poor premorbid adjustment, earlier age of onset, worse clinical characteristics, and poorer outcomes. However, little is known about potential mediators that could explain these sex differences. METHODS Our sample consisted of 137 individuals with first episode schizophrenia (males, n = 105; 77%) with a mean age of 22.1(s.d. = 4.1) years and mean education of 12.5(s.d. = 1.7) years. At entry, patients were within 2 years of their first psychotic episode onset. Baseline assessments were conducted for premorbid adjustment, symptoms, cognitive functioning, insight, and at 6-months for role and social functioning. RESULTS Males as compared to females had poorer premorbid adjustment across several key developmental periods (p < 0.01), an earlier age of onset [M = 20.3(3.3) v. 22.8(5.6), p = 0.002], more negative symptoms (p = 0.044), poorer insight (p = 0.031), and poorer baseline and 6-month role (p = 0.002) and social functioning (p = 0.034). Several of these variables in which males showed impairment were significant predictors of 6-month role and social functioning. Premorbid adjustment and insight mediated the relationship between sex and role and social functioning at 6-months, but not negative symptoms. DISCUSSION Males compared to females were at lower levels across several key premorbid and clinical domains which are strongly associated with functional outcome supporting the hypothesis that males might have a more disabling form of schizophrenia. The relationship between sex with role and social functioning was mediated through premorbid adjustment and insight suggesting pathways for understanding why females might have a less disabling form of schizophrenia.
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Affiliation(s)
- Joseph Ventura
- UCLA Department of Psychiatry and Biobehavioral Sciences, Jane and Terry Semel Institute for Neuroscience and Human Behavior at UCLA, University of California, Los Angeles, California, USA
| | - Kenneth L. Subotnik
- UCLA Department of Psychiatry and Biobehavioral Sciences, Jane and Terry Semel Institute for Neuroscience and Human Behavior at UCLA, University of California, Los Angeles, California, USA
| | - Sam Han
- Graduate School of Education and Psychology, Pepperdine University, Malibu, California, USA
| | - Gerhard S. Hellemann
- School of Public Health, Biostatistics Department, University of Alabama, Tuscaloosa, Alabama, USA
| | - Michael F. Green
- UCLA Department of Psychiatry and Biobehavioral Sciences, Jane and Terry Semel Institute for Neuroscience and Human Behavior at UCLA, University of California, Los Angeles, California, USA
- VA Greater Los Angeles Healthcare System, Los Angeles, California, USA
| | - Keith H. Nuechterlein
- UCLA Department of Psychiatry and Biobehavioral Sciences, Jane and Terry Semel Institute for Neuroscience and Human Behavior at UCLA, University of California, Los Angeles, California, USA
- UCLA Department of Psychology, University of California, Los Angeles, California, USA
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2
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Matuszewska A, Kowalski K, Jawień P, Tomkalski T, Gaweł-Dąbrowska D, Merwid-Ląd A, Szeląg E, Błaszczak K, Wiatrak B, Danielewski M, Piasny J, Szeląg A. The Hypothalamic-Pituitary-Gonadal Axis in Men with Schizophrenia. Int J Mol Sci 2023; 24:6492. [PMID: 37047464 PMCID: PMC10094807 DOI: 10.3390/ijms24076492] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2023] [Revised: 03/18/2023] [Accepted: 03/26/2023] [Indexed: 04/03/2023] Open
Abstract
Schizophrenia is a severe mental disorder with a chronic, progressive course. The etiology of this condition is linked to the interactions of multiple genes and environmental factors. The earlier age of onset of schizophrenia, the higher frequency of negative symptoms in the clinical presentation, and the poorer response to antipsychotic treatment in men compared to women suggests the involvement of sex hormones in these processes. This article aims to draw attention to the possible relationship between testosterone and some clinical features in male schizophrenic patients and discuss the complex nature of these phenomena based on data from the literature. PubMed, Web of Science, and Google Scholar databases were searched to select the papers without limiting the time of the publications. Hormone levels in the body are regulated by many organs and systems, and take place through the neuroendocrine, hormonal, neural, and metabolic pathways. Sex hormones play an important role in the development and function of the organism. Besides their impact on secondary sex characteristics, they influence brain development and function, mood, and cognition. In men with schizophrenia, altered testosterone levels were noted. In many cases, evidence from available single studies gave contradictory results. However, it seems that the testosterone level in men affected by schizophrenia may differ depending on the phase of the disease, types of clinical symptoms, and administered therapy. The etiology of testosterone level disturbances may be very complex. Besides the impact of the illness (schizophrenia), stress, and antipsychotic drug-induced hyperprolactinemia, testosterone levels may be influenced by, i.a., obesity, substances of abuse (e.g., ethanol), or liver damage.
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Affiliation(s)
- Agnieszka Matuszewska
- Department of Pharmacology, Wroclaw Medical University, J. Mikulicza-Radeckiego 2, 50-345 Wroclaw, Poland
| | - Krzysztof Kowalski
- Department of Pharmacology, Wroclaw Medical University, J. Mikulicza-Radeckiego 2, 50-345 Wroclaw, Poland
| | - Paulina Jawień
- Department of Biostructure and Animal Physiology, Wroclaw University of Environmental and Life Sciences, C.K. Norwida 25/27, 50-375 Wroclaw, Poland
| | - Tomasz Tomkalski
- Department of Endocrinology, Diabetology and Internal Medicine, Tadeusz Marciniak Lower Silesia Specialist Hospital–Centre for Medical Emergency, A.E. Fieldorfa 2, 54-049 Wroclaw, Poland
| | - Dagmara Gaweł-Dąbrowska
- Department of Population Health, Division of Public Health, Wroclaw Medical University, Bujwida 44, 50-345 Wroclaw, Poland
| | - Anna Merwid-Ląd
- Department of Pharmacology, Wroclaw Medical University, J. Mikulicza-Radeckiego 2, 50-345 Wroclaw, Poland
| | - Ewa Szeląg
- Department of Maxillofacial Orthopaedics and Orthodontics, Wroclaw Medical University, Krakowska 26, 50-425 Wroclaw, Poland
| | - Karolina Błaszczak
- Department of Pharmacology, Wroclaw Medical University, J. Mikulicza-Radeckiego 2, 50-345 Wroclaw, Poland
| | - Benita Wiatrak
- Department of Pharmacology, Wroclaw Medical University, J. Mikulicza-Radeckiego 2, 50-345 Wroclaw, Poland
| | - Maciej Danielewski
- Department of Pharmacology, Wroclaw Medical University, J. Mikulicza-Radeckiego 2, 50-345 Wroclaw, Poland
| | - Janusz Piasny
- Department of Pharmacology, Wroclaw Medical University, J. Mikulicza-Radeckiego 2, 50-345 Wroclaw, Poland
| | - Adam Szeląg
- Department of Pharmacology, Wroclaw Medical University, J. Mikulicza-Radeckiego 2, 50-345 Wroclaw, Poland
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3
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Fišar Z. Biological hypotheses, risk factors, and biomarkers of schizophrenia. Prog Neuropsychopharmacol Biol Psychiatry 2023; 120:110626. [PMID: 36055561 DOI: 10.1016/j.pnpbp.2022.110626] [Citation(s) in RCA: 26] [Impact Index Per Article: 26.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/29/2022] [Revised: 08/24/2022] [Accepted: 08/25/2022] [Indexed: 12/19/2022]
Abstract
Both the discovery of biomarkers of schizophrenia and the verification of biological hypotheses of schizophrenia are an essential part of the process of understanding the etiology of this mental disorder. Schizophrenia has long been considered a neurodevelopmental disease whose symptoms are caused by impaired synaptic signal transduction and brain neuroplasticity. Both the onset and chronic course of schizophrenia are associated with risk factors-induced disruption of brain function and the establishment of a new homeostatic setpoint characterized by biomarkers. Different risk factors and biomarkers can converge to the same symptoms of schizophrenia, suggesting that the primary cause of the disease can be highly individual. Schizophrenia-related biomarkers include measurable biochemical changes induced by stress (elevated allostatic load), mitochondrial dysfunction, neuroinflammation, oxidative and nitrosative stress, and circadian rhythm disturbances. Here is a summary of selected valid biological hypotheses of schizophrenia formulated based on risk factors and biomarkers, neurodevelopment, neuroplasticity, brain chemistry, and antipsychotic medication. The integrative neurodevelopmental-vulnerability-neurochemical model is based on current knowledge of the neurobiology of the onset and progression of the disease and the effects of antipsychotics and psychotomimetics and reflects the complex and multifactorial nature of schizophrenia.
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Affiliation(s)
- Zdeněk Fišar
- Charles University and General University Hospital in Prague, First Faculty of Medicine, Department of Psychiatry, Czech Republic.
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4
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Lin C, Hu Q, Dong J, Wei Z, Li J, Chen Z. Serum metabolic signatures of schizophrenia patients complicated with hepatitis B virus infection: A 1H NMR-based metabolomics study. Front Psychiatry 2022; 13:998709. [PMID: 36620683 PMCID: PMC9810819 DOI: 10.3389/fpsyt.2022.998709] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/20/2022] [Accepted: 11/30/2022] [Indexed: 12/24/2022] Open
Abstract
INTRODUCTION Schizophrenia (SZ) is a severe chronic mental disorder with increased risk of hepatitis B virus (HBV) infection, which is incurable currently and induces various negative emotions and psychological pressures in patients to exacerbate mental disorders. To facilitate the therapeutic design for SZ patients complicated with HBV infection (SZ + HBV), it is helpful to first elucidate the metabolic perturbations in SZ + HBV patients. METHODS In this study, metabolic profiles of the serum samples from four groups of participants comprising healthy controls (HC, n = 72), HBV infection (n = 52), SZ patients (n = 37), and SZ + HBV (n = 41) patients were investigated using a high-resolution 1H NMR-based metabolomics approach. RESULTS AND DISCUSSION Distinguishable metabolic profiles were found in the four groups. In comparison with HC, HBV infection induced increased levels of citrate and succinate to perturbate the tricarboxylic acid cycle and succinate-related pathways. Similar to SZ cases, SZ + HBV patients exhibited decreased glucose but increased citrate, pyruvate, and lactate, suggesting the occurrence of disturbance in glucose metabolism. Moreover, in comparison with HC, several serum amino acid levels in SZ + HBV patients were significantly altered. Our findings suggest that Warburg effect, energy metabolism disorders, neurotransmitter metabolism abnormalities, mitochondrial dysfunction and several disturbed pathways in relation to tyrosine and choline appear to play specific and central roles in the pathophysiology of SZ + HBV. Apart from replicating metabolic alterations induced by SZ and HBV separately (e.g., in energy metabolism and Warburg effect), the specific metabolic abnormalities in the SZ + HBV group (e.g., several tyrosine- and choline-related pathways) highlighted the existence of a synergistic action between SZ and HBV pathologies. Current study revealed the metabolic alterations specific to the interaction between SZ and HBV pathologies, and may open important perspectives for designing precise therapies for SZ + HBV patients beyond the simple combination of two individual treatments.
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Affiliation(s)
- Caigui Lin
- Fujian Provincial Key Laboratory for Plasma and Magnetic Resonance, Department of Electronic Science, Xiamen University, Xiamen, Fujian, China.,National Institute for Data Science in Health and Medicine, Xiamen University, Xiamen, Fujian, China
| | - Qing Hu
- Xiamen Xianyue Hospital, Xiamen, Fujian, China
| | - Jiyang Dong
- Fujian Provincial Key Laboratory for Plasma and Magnetic Resonance, Department of Electronic Science, Xiamen University, Xiamen, Fujian, China
| | - Zhiliang Wei
- Department of Radiology, Johns Hopkins University, Baltimore, MD, United States
| | - Jie Li
- Department of Hepatobiliary Surgery, Zhongshan Hospital of Xiamen University, Xiamen, Fujian, China
| | - Zhong Chen
- Fujian Provincial Key Laboratory for Plasma and Magnetic Resonance, Department of Electronic Science, Xiamen University, Xiamen, Fujian, China
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5
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Chen SJ, Liao DL, Chen CH, Wang TY, Chen KC. Construction and Analysis of Protein-Protein Interaction Network of Heroin Use Disorder. Sci Rep 2019; 9:4980. [PMID: 30899073 PMCID: PMC6428805 DOI: 10.1038/s41598-019-41552-z] [Citation(s) in RCA: 29] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2018] [Accepted: 03/11/2019] [Indexed: 12/17/2022] Open
Abstract
Heroin use disorder (HUD) is a complex disease resulting from interactions among genetic and other factors (e.g., environmental factors). The mechanism of HUD development remains unknown. Newly developed network medicine tools provide a platform for exploring complex diseases at the system level. This study proposes that protein–protein interactions (PPIs), particularly those among proteins encoded by casual or susceptibility genes, are extremely crucial for HUD development. The giant component of our constructed PPI network comprised 111 nodes with 553 edges, including 16 proteins with large degree (k) or high betweenness centrality (BC), which were further identified as the backbone of the network. JUN with the largest degree was suggested to be central to the PPI network associated with HUD. Moreover, PCK1 with the highest BC and MAPK14 with the secondary largest degree and 9th highest BC might be involved in the development HUD and other substance diseases.
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Affiliation(s)
- Shaw-Ji Chen
- Department of Medicine, Mackay Medical College, New Taipei City, Taiwan.,Department of Psychiatry, Mackay Memorial Hospital, Taitung Branch, Taiwan
| | - Ding-Lieh Liao
- Bali Psychiatric Center, Department of Health, Executive Yuan, New Taipei, Taiwan
| | - Chia-Hsiang Chen
- Department of Psychiatry, Chang Gung Memorial Hospital at Linkou and Chang Gung University School of Medicine, Taoyuan, Taiwan
| | - Tse-Yi Wang
- Department of Medical Informatics, Tzu Chi University, Hualien, Taiwan
| | - Kuang-Chi Chen
- Department of Medical Informatics, Tzu Chi University, Hualien, Taiwan.
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6
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Li C, Wang A, Wang C, Ramamurthy J, Zhang E, Guadagno E, Trakadis Y. Metabolomics in patients with psychosis: A systematic review. Am J Med Genet B Neuropsychiatr Genet 2018; 177:580-588. [PMID: 30076730 DOI: 10.1002/ajmg.b.32662] [Citation(s) in RCA: 26] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/11/2017] [Revised: 06/04/2018] [Accepted: 06/13/2018] [Indexed: 01/06/2023]
Abstract
The purpose of this article is to provide a comprehensive review of metabolomics studies for psychosis, as a means of biomarker discovery. Manuscripts were selected for review if they involved discovery of metabolites using high-throughput analysis in human subjects and were published in the last decade. The metabolites identified were searched in Human Metabolome Data Base (HMDB) for a link to psychosis. Metabolites associated with psychosis based on evidence in HMBD were then searched using PubMed to explore the availability of further evidence. Almost all of the studies which underwent full review involved patients with schizophrenia. Ten biomarkers were identified. Six of them were reported in two or more independent metabolomics studies: N-acetyl aspartate, lactate, tryptophan, kynurenine, glutamate, and creatine. Four additional metabolites were encountered in a single metabolomics study but had significant evidence (two supporting articles or more) for a link to psychosis based on PubMed: linoleic acid, D-serine, glutathione, and 3-hydroxybutyrate. The pathways affected are discussed as they may be relevant to the pathophysiology of psychosis, and specifically of schizophrenia, as well as, constitute new drug targets for treatment of related conditions. Based on the biomarkers identified, early diagnosis of schizophrenia and/or monitoring may be possible.
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Affiliation(s)
- Christopher Li
- Department of Medical Genetics, McGill University, Montreal, Quebec, Canada
| | - Aviva Wang
- Department of Medical Genetics, McGill University, Montreal, Quebec, Canada
| | - Chloe Wang
- Department of Medical Genetics, McGill University, Montreal, Quebec, Canada
| | - Janani Ramamurthy
- Department of Medical Genetics, McGill University, Montreal, Quebec, Canada
| | - Edlyn Zhang
- Department of Medical Genetics, McGill University, Montreal, Quebec, Canada
| | - Elena Guadagno
- Department of Medical Genetics, McGill University, Montreal, Quebec, Canada
| | - Yannis Trakadis
- Department of Medical Genetics, McGill University, Montreal, Quebec, Canada
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7
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Association of NKAPL, TSPAN18, and MPC2 gene variants with schizophrenia based on new data and a meta-analysis in Han Chinese. Acta Neuropsychiatr 2017; 29:87-94. [PMID: 27460766 DOI: 10.1017/neu.2016.36] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/28/2022]
Abstract
BACKGROUND Schizophrenia (SZ) is suggested to be a complex polygenetic disorder with high heritability. Genome-wide association studies have found that the rs1635, rs11038167, and rs10489202 polymorphisms are associated with SZ in Han Chinese. However, results of validation studies are inconsistent. This study aimed to test the association between the NKAPL rs1635, TSPAN18 rs11038167, and MPC2 rs10489202 polymorphisms and SZ in a Chinese population. METHODS This study contained 700 unrelated SZ patients (300 Zhuang and 400 Han) and 700 gender- and age-matched controls (300 Zhuang and 400 Han). The polymorphisms in TSPAN18 (rs11038167), NKAPL (rs1635), and MPC2 (rs10489202) were genotyped using the Sequenom MassARRAY method. Statistical analyses were performed with PLINK program and SPSS l6.0 for Windows. STATA11.1 was used for meta-analysis. RESULTS No statistically significant difference was found in different allele and genotype frequencies of rs1635, rs11038167, and rs10489202 between SZ cases and controls of Zhuang and Han ethnicities and the total samples (all p>0.05). Further meta-analysis suggested that single-nucleotide polymorphism rs10489202 was significantly associated with SZ in a Han Chinese population (p OR=0.002). CONCLUSIONS Our case-control study failed to validate the significant association of NKAPL rs1635, TSPAN18 rs11038167, and MPC2 rs10489202 polymorphisms with SZ susceptibility in the southern Zhuang or Han Chinese population. However, meta-analysis showed a significant association between MPC2 variant rs10489202 and SZ susceptibility in Han Chinese.
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Breen MS, Uhlmann A, Nday CM, Glatt SJ, Mitt M, Metsalpu A, Stein DJ, Illing N. Candidate gene networks and blood biomarkers of methamphetamine-associated psychosis: an integrative RNA-sequencing report. Transl Psychiatry 2016; 6:e802. [PMID: 27163203 PMCID: PMC5070070 DOI: 10.1038/tp.2016.67] [Citation(s) in RCA: 27] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/09/2015] [Revised: 01/21/2016] [Accepted: 01/24/2016] [Indexed: 02/08/2023] Open
Abstract
The clinical presentation, course and treatment of methamphetamine (METH)-associated psychosis (MAP) are similar to that observed in schizophrenia (SCZ) and subsequently MAP has been hypothesized as a pharmacological and environmental model of SCZ. However, several challenges currently exist in diagnosing MAP accurately at the molecular and neurocognitive level before the MAP model can contribute to the discovery of SCZ biomarkers. We directly assessed subcortical brain structural volumes and clinical parameters of MAP within the framework of an integrative genome-wide RNA-Seq blood transcriptome analysis of subjects diagnosed with MAP (N=10), METH dependency without psychosis (MA; N=10) and healthy controls (N=10). First, we identified discrete groups of co-expressed genes (that is, modules) and tested them for functional annotation and phenotypic relationships to brain structure volumes, life events and psychometric measurements. We discovered one MAP-associated module involved in ubiquitin-mediated proteolysis downregulation, enriched with 61 genes previously found implicated in psychosis and SCZ across independent blood and post-mortem brain studies using convergent functional genomic (CFG) evidence. This module demonstrated significant relationships with brain structure volumes including the anterior corpus callosum (CC) and the nucleus accumbens. Furthermore, a second MAP and psychoticism-associated module involved in circadian clock upregulation was also enriched with 39 CFG genes, further associated with the CC. Subsequently, a machine-learning analysis of differentially expressed genes identified single blood-based biomarkers able to differentiate controls from methamphetamine dependents with 87% accuracy and MAP from MA subjects with 95% accuracy. CFG evidence validated a significant proportion of these putative MAP biomarkers in independent studies including CLN3, FBP1, TBC1D2 and ZNF821 (RNA degradation), ELK3 and SINA3 (circadian clock) and PIGF and UHMK1 (ubiquitin-mediated proteolysis). Finally, focusing analysis on brain structure volumes revealed significantly lower bilateral hippocampal volumes in MAP subjects. Overall, these results suggest similar molecular and neurocognitive mechanisms underlying the pathophysiology of psychosis and SCZ regardless of substance abuse and provide preliminary evidence supporting the MAP paradigm as an exemplar for SCZ biomarker discovery.
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Affiliation(s)
- M S Breen
- Department of Clinical and
Experimental Sciences, Faculty of Medicine, University of Southampton,
Southampton, UK
| | - A Uhlmann
- Department of Psychiatry and MRC Unit
on Anxiety and Stress Disorders, Groote Schuur Hospital (J-2), University of
Cape Town, Cape Town, South Africa
| | - C M Nday
- Department of Molecular and Cellular
Biology, University of Cape Town, Cape Town, South
Africa
| | - S J Glatt
- Psychiatric Genetic Epidemiology and
Neurobiology Laboratory, Departments of Psychiatry and Behavioral Sciences
and Neuroscience and Physiology, Medical Genetics Research Center, SUNY
Upstate Medical University, Syracuse, NY,
USA
| | - M Mitt
- The Estonian Genome Center,
University of Tartu, Tartu, Estonia
| | - A Metsalpu
- The Estonian Genome Center,
University of Tartu, Tartu, Estonia
| | - D J Stein
- Department of Psychiatry and MRC Unit
on Anxiety and Stress Disorders, Groote Schuur Hospital (J-2), University of
Cape Town, Cape Town, South Africa
| | - N Illing
- Department of Molecular and Cellular
Biology, University of Cape Town, Cape Town, South
Africa
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Mokhtari M, Narayanan B, Hamm JP, Soh P, Calhoun VD, Ruaño G, Kocherla M, Windemuth A, Clementz BA, Tamminga CA, Sweeney JA, Keshavan MS, Pearlson GD. Multivariate Genetic Correlates of the Auditory Paired Stimuli-Based P2 Event-Related Potential in the Psychosis Dimension From the BSNIP Study. Schizophr Bull 2016; 42:851-62. [PMID: 26462502 PMCID: PMC4838080 DOI: 10.1093/schbul/sbv147] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
Abstract
OBJECTIVE The complex molecular etiology of psychosis in schizophrenia (SZ) and psychotic bipolar disorder (PBP) is not well defined, presumably due to their multifactorial genetic architecture. Neurobiological correlates of psychosis can be identified through genetic associations of intermediate phenotypes such as event-related potential (ERP) from auditory paired stimulus processing (APSP). Various ERP components of APSP are heritable and aberrant in SZ, PBP and their relatives, but their multivariate genetic factors are less explored. METHODS We investigated the multivariate polygenic association of ERP from 64-sensor auditory paired stimulus data in 149 SZ, 209 PBP probands, and 99 healthy individuals from the multisite Bipolar-Schizophrenia Network on Intermediate Phenotypes study. Multivariate association of 64-channel APSP waveforms with a subset of 16 999 single nucleotide polymorphisms (SNPs) (reduced from 1 million SNP array) was examined using parallel independent component analysis (Para-ICA). Biological pathways associated with the genes were assessed using enrichment-based analysis tools. RESULTS Para-ICA identified 2 ERP components, of which one was significantly correlated with a genetic network comprising multiple linearly coupled gene variants that explained ~4% of the ERP phenotype variance. Enrichment analysis revealed epidermal growth factor, endocannabinoid signaling, glutamatergic synapse and maltohexaose transport associated with P2 component of the N1-P2 ERP waveform. This ERP component also showed deficits in SZ and PBP. CONCLUSIONS Aberrant P2 component in psychosis was associated with gene networks regulating several fundamental biologic functions, either general or specific to nervous system development. The pathways and processes underlying the gene clusters play a crucial role in brain function, plausibly implicated in psychosis.
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Affiliation(s)
- Mohammadreza Mokhtari
- Olin Neuropsychiatry Research Center, Hartford Hospital, Institute of Living, Hartford, CT
| | - Balaji Narayanan
- Olin Neuropsychiatry Research Center, Hartford Hospital, Institute of Living, Hartford, CT;
| | - Jordan P. Hamm
- Department of Psychology, University of Georgia, Athens, GA
| | - Pauline Soh
- Olin Neuropsychiatry Research Center, Hartford Hospital, Institute of Living, Hartford, CT
| | - Vince D. Calhoun
- Department of Electrical and Computer Engineering, University of New Mexico, Albuquerque, NM;,Image Analysis and MR Research Center, The Mind Research Network, Albuquerque, NM
| | - Gualberto Ruaño
- Genetics Research Center, Hartford Hospital, Hartford, CT;,Genomas Inc, Hartford, CT
| | - Mohan Kocherla
- Genetics Research Center, Hartford Hospital, Hartford, CT;,Genomas Inc, Hartford, CT
| | | | | | - Carol A. Tamminga
- Department of Psychiatry, UT Southwestern Medical School, Dallas, TX
| | - John A. Sweeney
- Department of Psychiatry, UT Southwestern Medical School, Dallas, TX
| | - Matcheri S. Keshavan
- Department of Psychiatry, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, MA
| | - Godfrey D. Pearlson
- Olin Neuropsychiatry Research Center, Hartford Hospital, Institute of Living, Hartford, CT;,Departments of Psychiatry and Neurobiology, Yale University School of Medicine, New Haven, CT
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10
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Landek-Salgado MA, Faust TE, Sawa A. Molecular substrates of schizophrenia: homeostatic signaling to connectivity. Mol Psychiatry 2016; 21:10-28. [PMID: 26390828 PMCID: PMC4684728 DOI: 10.1038/mp.2015.141] [Citation(s) in RCA: 74] [Impact Index Per Article: 9.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/26/2014] [Revised: 06/24/2015] [Accepted: 06/25/2015] [Indexed: 02/06/2023]
Abstract
Schizophrenia (SZ) is a devastating psychiatric condition affecting numerous brain systems. Recent studies have identified genetic factors that confer an increased risk of SZ and participate in the disease etiopathogenesis. In parallel to such bottom-up approaches, other studies have extensively reported biological changes in patients by brain imaging, neurochemical and pharmacological approaches. This review highlights the molecular substrates identified through studies with SZ patients, namely those using top-down approaches, while also referring to the fruitful outcomes of recent genetic studies. We have subclassified the molecular substrates by system, focusing on elements of neurotransmission, targets in white matter-associated connectivity, immune/inflammatory and oxidative stress-related substrates, and molecules in endocrine and metabolic cascades. We further touch on cross-talk among these systems and comment on the utility of animal models in charting the developmental progression and interaction of these substrates. Based on this comprehensive information, we propose a framework for SZ research based on the hypothesis of an imbalance in homeostatic signaling from immune/inflammatory, oxidative stress, endocrine and metabolic cascades that, at least in part, underlies deficits in neural connectivity relevant to SZ. Thus, this review aims to provide information that is translationally useful and complementary to pathogenic hypotheses that have emerged from genetic studies. Based on such advances in SZ research, it is highly expected that we will discover biomarkers that may help in the early intervention, diagnosis or treatment of SZ.
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Affiliation(s)
- M A Landek-Salgado
- Department of Psychiatry, John Hopkins University School of Medicine, Baltimore, MD, USA
| | - T E Faust
- Department of Psychiatry, John Hopkins University School of Medicine, Baltimore, MD, USA.,Department of Neuroscience, John Hopkins University School of Medicine, Baltimore, MD, USA
| | - A Sawa
- Department of Psychiatry, John Hopkins University School of Medicine, Baltimore, MD, USA
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11
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Chang S, Fang K, Zhang K, Wang J. Network-Based Analysis of Schizophrenia Genome-Wide Association Data to Detect the Joint Functional Association Signals. PLoS One 2015; 10:e0133404. [PMID: 26193471 PMCID: PMC4508050 DOI: 10.1371/journal.pone.0133404] [Citation(s) in RCA: 30] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2014] [Accepted: 06/26/2015] [Indexed: 12/31/2022] Open
Abstract
Schizophrenia is a common psychiatric disorder with high heritability and complex genetic architecture. Genome-wide association studies (GWAS) have identified several significant loci associated with schizophrenia. However, the explained heritability is still low. Growing evidence has shown schizophrenia is attributable to multiple genes with moderate effects. In-depth mining and integration of GWAS data is urgently expected to uncover disease-related gene combination patterns. Network-based analysis is a promising strategy to better interpret GWAS to identify disease-related network modules. We performed a network-based analysis on three independent schizophrenia GWASs by using a refined analysis framework, which included a more accurate gene P-value calculation, dynamic network module searching algorithm and detailed functional analysis for the obtained modules genes. The result generated 79 modules including 238 genes, which form a highly connected subnetwork with more statistical significance than expected by chance. The result validated several reported disease genes, such as MAD1L1, MCC, SDCCAG8, VAT1L, MAPK14, MYH9 and FXYD6, and also obtained several novel candidate genes and gene-gene interactions. Pathway enrichment analysis of the module genes suggested they were enriched in several neural and immune system related pathways/GO terms, such as neurotrophin signaling pathway, synaptosome, regulation of protein ubiquitination, and antigen processing and presentation. Further crosstalk analysis revealed these pathways/GO terms were cooperated with each other, and identified several important genes, which might play vital roles to connect these functions. Our network-based analysis of schizophrenia GWASs will facilitate the understanding of genetic mechanisms of schizophrenia.
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Affiliation(s)
- Suhua Chang
- Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences, Beijing, China
| | - Kechi Fang
- Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences, Beijing, China
| | - Kunlin Zhang
- Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences, Beijing, China
| | - Jing Wang
- Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences, Beijing, China
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12
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Liu ML, Zhang XT, Du XY, Fang Z, Liu Z, Xu Y, Zheng P, Xu XJ, Cheng PF, Huang T, Bai SJ, Zhao LB, Qi ZG, Shao WH, Xie P. Severe disturbance of glucose metabolism in peripheral blood mononuclear cells of schizophrenia patients: a targeted metabolomic study. J Transl Med 2015; 13:226. [PMID: 26169624 PMCID: PMC4501123 DOI: 10.1186/s12967-015-0540-y] [Citation(s) in RCA: 47] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2014] [Accepted: 05/15/2015] [Indexed: 01/12/2023] Open
Abstract
Background Schizophrenia is a widespread and debilitating mental disorder. However, the underlying molecular mechanism of schizophrenia remains largely unknown and no objective laboratory tests are available to diagnose this disorder. The aim of the present study was to characterize the alternations of glucose metabolites and identify potential diagnostic biomarkers for schizophrenia. Methods Gas chromatography/mass spectrometry based targeted metabolomic method was used to quantify the levels of 13 glucose metabolites in peripheral blood mononuclear cells (PBMCs) derived from healthy controls, schizophrenia and major depression subjects (n = 55 for each group). Results The majority (84.6%) of glucose metabolites were significantly disturbed in schizophrenia subjects, while only two (15.4%) glucose metabolites were differently expressed in depression subjects relative to healthy controls in both training set (n = 35/group) and test set (n = 20/group). Antipsychotics had only a subtle effect on glucose metabolism pathway. Moreover, ribose 5-phosphate in PBMCs showed a high diagnostic performance for first-episode drug-naïve schizophrenia subjects. Conclusion These findings suggested disturbance of glucose metabolism may be implicated in onset of schizophrenia and could aid in development of diagnostic tool for this disorder. Electronic supplementary material The online version of this article (doi:10.1186/s12967-015-0540-y) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Mei-Ling Liu
- Department of Neurology, The First Affiliated Hospital of Chongqing Medical University, 1 Youyi Road, Yuzhong District, Chongqing, 400016, People's Republic of China. .,Institute of Neuroscience and the Collaborative Innovation Center for Brain Science, Chongqing Medical University, Chongqing, China. .,Chongqing Key Laboratory of Neurobiology, Chongqing, China.
| | - Xiao-Tong Zhang
- Department of Neurology, The First Affiliated Hospital of Chongqing Medical University, 1 Youyi Road, Yuzhong District, Chongqing, 400016, People's Republic of China. .,Institute of Neuroscience and the Collaborative Innovation Center for Brain Science, Chongqing Medical University, Chongqing, China. .,Chongqing Key Laboratory of Neurobiology, Chongqing, China.
| | - Xiang-Yu Du
- Department of Neurology, The First Affiliated Hospital of Chongqing Medical University, 1 Youyi Road, Yuzhong District, Chongqing, 400016, People's Republic of China. .,Institute of Neuroscience and the Collaborative Innovation Center for Brain Science, Chongqing Medical University, Chongqing, China. .,Chongqing Key Laboratory of Neurobiology, Chongqing, China.
| | - Zheng Fang
- Department of Neurology, The First Affiliated Hospital of Chongqing Medical University, 1 Youyi Road, Yuzhong District, Chongqing, 400016, People's Republic of China. .,Institute of Neuroscience and the Collaborative Innovation Center for Brain Science, Chongqing Medical University, Chongqing, China. .,Chongqing Key Laboratory of Neurobiology, Chongqing, China.
| | - Zhao Liu
- Department of Neurology, The First Affiliated Hospital of Chongqing Medical University, 1 Youyi Road, Yuzhong District, Chongqing, 400016, People's Republic of China. .,Institute of Neuroscience and the Collaborative Innovation Center for Brain Science, Chongqing Medical University, Chongqing, China. .,Chongqing Key Laboratory of Neurobiology, Chongqing, China.
| | - Yi Xu
- Department of Neurology, The First Affiliated Hospital of Chongqing Medical University, 1 Youyi Road, Yuzhong District, Chongqing, 400016, People's Republic of China. .,Institute of Neuroscience and the Collaborative Innovation Center for Brain Science, Chongqing Medical University, Chongqing, China. .,Chongqing Key Laboratory of Neurobiology, Chongqing, China.
| | - Peng Zheng
- Department of Neurology, The First Affiliated Hospital of Chongqing Medical University, 1 Youyi Road, Yuzhong District, Chongqing, 400016, People's Republic of China. .,Institute of Neuroscience and the Collaborative Innovation Center for Brain Science, Chongqing Medical University, Chongqing, China. .,Chongqing Key Laboratory of Neurobiology, Chongqing, China.
| | - Xue-Jiao Xu
- Department of Neurology, The First Affiliated Hospital of Chongqing Medical University, 1 Youyi Road, Yuzhong District, Chongqing, 400016, People's Republic of China. .,Institute of Neuroscience and the Collaborative Innovation Center for Brain Science, Chongqing Medical University, Chongqing, China. .,Chongqing Key Laboratory of Neurobiology, Chongqing, China.
| | - Peng-Fei Cheng
- Department of Neurology, The First Affiliated Hospital of Chongqing Medical University, 1 Youyi Road, Yuzhong District, Chongqing, 400016, People's Republic of China. .,Institute of Neuroscience and the Collaborative Innovation Center for Brain Science, Chongqing Medical University, Chongqing, China. .,Chongqing Key Laboratory of Neurobiology, Chongqing, China.
| | - Ting Huang
- Department of Neurology, The First Affiliated Hospital of Chongqing Medical University, 1 Youyi Road, Yuzhong District, Chongqing, 400016, People's Republic of China. .,Institute of Neuroscience and the Collaborative Innovation Center for Brain Science, Chongqing Medical University, Chongqing, China. .,Chongqing Key Laboratory of Neurobiology, Chongqing, China.
| | - Shun-Jie Bai
- Department of Neurology, The First Affiliated Hospital of Chongqing Medical University, 1 Youyi Road, Yuzhong District, Chongqing, 400016, People's Republic of China. .,Institute of Neuroscience and the Collaborative Innovation Center for Brain Science, Chongqing Medical University, Chongqing, China. .,Chongqing Key Laboratory of Neurobiology, Chongqing, China.
| | - Li-Bo Zhao
- Institute of Neuroscience and the Collaborative Innovation Center for Brain Science, Chongqing Medical University, Chongqing, China. .,Chongqing Key Laboratory of Neurobiology, Chongqing, China. .,Department of Neurology, The Third People's Hospital of Chongqing, Chongqing, China.
| | - Zhi-Guo Qi
- Institute of Neuroscience and the Collaborative Innovation Center for Brain Science, Chongqing Medical University, Chongqing, China. .,Chongqing Key Laboratory of Neurobiology, Chongqing, China.
| | - Wei-Hua Shao
- Institute of Neuroscience and the Collaborative Innovation Center for Brain Science, Chongqing Medical University, Chongqing, China. .,Chongqing Key Laboratory of Neurobiology, Chongqing, China. .,Department of Respiratory Medicine, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
| | - Peng Xie
- Department of Neurology, The First Affiliated Hospital of Chongqing Medical University, 1 Youyi Road, Yuzhong District, Chongqing, 400016, People's Republic of China. .,Institute of Neuroscience and the Collaborative Innovation Center for Brain Science, Chongqing Medical University, Chongqing, China. .,Chongqing Key Laboratory of Neurobiology, Chongqing, China.
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13
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Dwyer DS, Weeks K, Aamodt EJ. Drug discovery based on genetic and metabolic findings in schizophrenia. Expert Rev Clin Pharmacol 2014; 1:773-89. [PMID: 24410607 DOI: 10.1586/17512433.1.6.773] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
Abstract
Recent progress in the genetics of schizophrenia provides the rationale for re-evaluating causative factors and therapeutic strategies for this disease. Here, we review the major candidate susceptibility genes and relate the aberrant function of these genes to defective regulation of energy metabolism in the schizophrenic brain. Disturbances in energy metabolism potentially lead to neurodevelopmental deficits, impaired function of the mature nervous system and failure to maintain neurites/dendrites and synaptic connections. Current antipsychotic drugs do not specifically address these underlying deficits; therefore, a new generation of more effective medications is urgently needed. Novel targets for future drug discovery are identified in this review. The coordinated application of structure-based drug design, systems biology and research on model organisms may greatly facilitate the search for next-generation antipsychotic drugs.
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Affiliation(s)
- Donard S Dwyer
- Professor and Director of Basic Research, Departments of Psychiatry and Pharmacology, Louisiana State University Health Sciences Center, Shreveport, LA 71130, USA.
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14
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Liao DL, Cheng MC, Lai CH, Tsai HJ, Chen CH. Comparative gene expression profiling analysis of lymphoblastoid cells reveals neuron-specific enolase gene (ENO2) as a susceptibility gene of heroin dependence. Addict Biol 2014; 19:102-10. [PMID: 21995595 DOI: 10.1111/j.1369-1600.2011.00390.x] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Abstract
Heroin dependence is a complex mental disorder resulting from interactions between genetic and environmental factors. Identifying the susceptibility genes of heroin dependence is the basis for understanding the pathogenesis of heroin dependence. Using a total gene expression microarray, we detected 924 differentially expressed gene transcripts in lymphoblastoid cell lines (LCLs) between 19 male heroin-dependent individuals and 20 male control subjects, including 279 upregulated and 645 downregulated gene transcripts in heroin-dependent individuals. We verified the reduced expression of the neuron-specific enolase gene (ENO2) in heroin-dependent individuals using real-time quantitative polymerase chain reaction and Western blot analysis. We further compared the allele and genotype frequencies of three single nucleotide polymorphisms (SNPs, rs11064464, rs3213433 and rs10849541) of the ENO2 gene between 532 male heroin-dependent individuals and 369 male controls. No significant differences in the allele or genotype frequencies of these three SNPs were detected between these two groups. Nevertheless, we identified a haplotype (T-C-G) derived from these three SNPs significantly underrepresented in heroin-dependent individuals compared with the control group (72.7% versus 75.9%, P<0.032), while two other rare haplotypes (C-A-G and T-C-A) significantly overrepresented in heroin-dependent individuals compared with the control group (P<0.001). Further study, however, did not detect significant differences of the plasma concentration of neuron-specific enolase between these two groups. Our data suggest that the ENO2 gene might be associated with heroin dependence, and reduced ENO2 gene expression may confer increased risk to heroin dependence.
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Affiliation(s)
- Ding-Lieh Liao
- Bali Psychiatric Center, Department of Health, Executive Yuan, Taiwan Department of Psychiatry, Yuli Mental Health Research Center, Yuli Veterans Hospital, Taiwan Division of Mental Health and Addiction Medicine, Institute of Population Health Sciences, National Health Research Institutes, Taiwan Division of Biostatistics and Bioinformatics, Institute of Population Health Sciences, National Health Research Institutes, Taiwan Department of Psychiatry, Chang Gung Memorial Hospital at Linkou and Chang Gung University School of Medicine, Taiwan Institute of Medical Sciences, Tzu-Chi University, Taiwan
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15
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A combined metabonomic and proteomic approach identifies frontal cortex changes in a chronic phencyclidine rat model in relation to human schizophrenia brain pathology. Neuropsychopharmacology 2013; 38:2532-44. [PMID: 23942359 PMCID: PMC3799075 DOI: 10.1038/npp.2013.160] [Citation(s) in RCA: 40] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/06/2013] [Revised: 06/03/2013] [Accepted: 06/14/2013] [Indexed: 01/30/2023]
Abstract
Current schizophrenia (SCZ) treatments fail to treat the broad range of manifestations associated with this devastating disorder. Thus, new translational models that reproduce the core pathological features are urgently needed to facilitate novel drug discovery efforts. Here, we report findings from the first comprehensive label-free liquid-mass spectrometry proteomic- and proton nuclear magnetic resonance-based metabonomic profiling of the rat frontal cortex after chronic phencyclidine (PCP) intervention, which induces SCZ-like symptoms. The findings were compared with results from a proteomic profiling of post-mortem prefrontal cortex from SCZ patients and with relevant findings in the literature. Through this approach, we identified proteomic alterations in glutamate-mediated Ca(2+) signaling (Ca(2+)/calmodulin-dependent protein kinase II, PPP3CA, and VISL1), mitochondrial function (GOT2 and PKLR), and cytoskeletal remodeling (ARP3). Metabonomic profiling revealed changes in the levels of glutamate, glutamine, glycine, pyruvate, and the Ca(2+) regulator taurine. Effects on similar pathways were also identified in the prefrontal cortex tissue from human SCZ subjects. The discovery of similar but not identical proteomic and metabonomic alterations in the chronic PCP rat model and human brain indicates that this model recapitulates only some of the molecular alterations of the disease. This knowledge may be helpful in understanding mechanisms underlying psychosis, which, in turn, can facilitate improved therapy and drug discovery for SCZ and other psychiatric diseases. Most importantly, these molecular findings suggest that the combined use of multiple models may be required for more effective translation to studies of human SCZ.
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16
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Panaccione I, Napoletano F, Forte AM, Kotzalidis GD, Del Casale A, Rapinesi C, Brugnoli C, Serata D, Caccia F, Cuomo I, Ambrosi E, Simonetti A, Savoja V, De Chiara L, Danese E, Manfredi G, Janiri D, Motolese M, Nicoletti F, Girardi P, Sani G. Neurodevelopment in schizophrenia: the role of the wnt pathways. Curr Neuropharmacol 2013; 11:535-58. [PMID: 24403877 PMCID: PMC3763761 DOI: 10.2174/1570159x113119990037] [Citation(s) in RCA: 34] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2012] [Revised: 03/28/2013] [Accepted: 05/12/2013] [Indexed: 02/06/2023] Open
Abstract
OBJECTIVES To review the role of Wnt pathways in the neurodevelopment of schizophrenia. METHODS SYSTEMATIC PUBMED SEARCH, USING AS KEYWORDS ALL THE TERMS RELATED TO THE WNT PATHWAYS AND CROSSING THEM WITH EACH OF THE FOLLOWING AREAS: normal neurodevelopment and physiology, neurodevelopmental theory of schizophrenia, schizophrenia, and antipsychotic drug action. RESULTS Neurodevelopmental, behavioural, genetic, and psychopharmacological data point to the possible involvement of Wnt systems, especially the canonical pathway, in the pathophysiology of schizophrenia and in the mechanism of antipsychotic drug action. The molecules most consistently found to be associated with abnormalities or in antipsychotic drug action are Akt1, glycogen synthase kinase3beta, and beta-catenin. However, the extent to which they contribute to the pathophysiology of schizophrenia or to antipsychotic action remains to be established. CONCLUSIONS The study of the involvement of Wnt pathway abnormalities in schizophrenia may help in understanding this multifaceted clinical entity; the development of Wnt-related pharmacological targets must await the collection of more data.
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Affiliation(s)
- Isabella Panaccione
- NESMOS Department (Neuroscience, Mental Health, and Sensory Organs), Sapienza University, School of Medicine and Psychology, Sant’Andrea Hospital, Rome, Italy
| | - Flavia Napoletano
- NESMOS Department (Neuroscience, Mental Health, and Sensory Organs), Sapienza University, School of Medicine and Psychology, Sant’Andrea Hospital, Rome, Italy
| | - Alberto Maria Forte
- NESMOS Department (Neuroscience, Mental Health, and Sensory Organs), Sapienza University, School of Medicine and Psychology, Sant’Andrea Hospital, Rome, Italy
| | - Giorgio D. Kotzalidis
- NESMOS Department (Neuroscience, Mental Health, and Sensory Organs), Sapienza University, School of Medicine and Psychology, Sant’Andrea Hospital, Rome, Italy
| | - Antonio Del Casale
- NESMOS Department (Neuroscience, Mental Health, and Sensory Organs), Sapienza University, School of Medicine and Psychology, Sant’Andrea Hospital, Rome, Italy
| | - Chiara Rapinesi
- NESMOS Department (Neuroscience, Mental Health, and Sensory Organs), Sapienza University, School of Medicine and Psychology, Sant’Andrea Hospital, Rome, Italy
| | - Chiara Brugnoli
- NESMOS Department (Neuroscience, Mental Health, and Sensory Organs), Sapienza University, School of Medicine and Psychology, Sant’Andrea Hospital, Rome, Italy
| | - Daniele Serata
- NESMOS Department (Neuroscience, Mental Health, and Sensory Organs), Sapienza University, School of Medicine and Psychology, Sant’Andrea Hospital, Rome, Italy
| | - Federica Caccia
- NESMOS Department (Neuroscience, Mental Health, and Sensory Organs), Sapienza University, School of Medicine and Psychology, Sant’Andrea Hospital, Rome, Italy
| | - Ilaria Cuomo
- NESMOS Department (Neuroscience, Mental Health, and Sensory Organs), Sapienza University, School of Medicine and Psychology, Sant’Andrea Hospital, Rome, Italy
| | - Elisa Ambrosi
- NESMOS Department (Neuroscience, Mental Health, and Sensory Organs), Sapienza University, School of Medicine and Psychology, Sant’Andrea Hospital, Rome, Italy
| | - Alessio Simonetti
- NESMOS Department (Neuroscience, Mental Health, and Sensory Organs), Sapienza University, School of Medicine and Psychology, Sant’Andrea Hospital, Rome, Italy
| | - Valeria Savoja
- NESMOS Department (Neuroscience, Mental Health, and Sensory Organs), Sapienza University, School of Medicine and Psychology, Sant’Andrea Hospital, Rome, Italy
| | - Lavinia De Chiara
- NESMOS Department (Neuroscience, Mental Health, and Sensory Organs), Sapienza University, School of Medicine and Psychology, Sant’Andrea Hospital, Rome, Italy
| | - Emanuela Danese
- NESMOS Department (Neuroscience, Mental Health, and Sensory Organs), Sapienza University, School of Medicine and Psychology, Sant’Andrea Hospital, Rome, Italy
| | - Giovanni Manfredi
- NESMOS Department (Neuroscience, Mental Health, and Sensory Organs), Sapienza University, School of Medicine and Psychology, Sant’Andrea Hospital, Rome, Italy
| | - Delfina Janiri
- NESMOS Department (Neuroscience, Mental Health, and Sensory Organs), Sapienza University, School of Medicine and Psychology, Sant’Andrea Hospital, Rome, Italy
| | | | - Ferdinando Nicoletti
- NEUROMED, Pozzilli, Isernia, Italy
- Department of Neuropharmacology, Sapienza University, School of Medicine and Pharmacy, Rome, Italy
| | - Paolo Girardi
- NESMOS Department (Neuroscience, Mental Health, and Sensory Organs), Sapienza University, School of Medicine and Psychology, Sant’Andrea Hospital, Rome, Italy
- Centro Lucio Bini, Rome, Italy
| | - Gabriele Sani
- NESMOS Department (Neuroscience, Mental Health, and Sensory Organs), Sapienza University, School of Medicine and Psychology, Sant’Andrea Hospital, Rome, Italy
- Centro Lucio Bini, Rome, Italy
- IRCCS Santa Lucia Foundation, Department of Clinical and Behavioural Neurology, Neuropsychiatry Laboratory, Rome, Italy
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17
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Jin C, Zhang Y, Wang J, Zhou Z, Sha W, Wang M, Zhang F, Li J, Li J, Yu S, Qi S, Yuan J. Lack of association between MPC2 variants and schizophrenia in a replication study of Han Chinese. Neurosci Lett 2013; 552:120-3. [DOI: 10.1016/j.neulet.2013.07.051] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2013] [Revised: 07/15/2013] [Accepted: 07/30/2013] [Indexed: 01/07/2023]
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18
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Onwuameze OE, Nam K, Epping EA, Wassink TH, Ziebell S, Andreasen NC, Ho BC. MAPK14 and CNR1 gene variant interactions: effects on brain volume deficits in schizophrenia patients with marijuana misuse. Psychol Med 2013; 43:619-631. [PMID: 22850347 PMCID: PMC3847818 DOI: 10.1017/s0033291712001559] [Citation(s) in RCA: 25] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/12/2023]
Abstract
BACKGROUND Adolescent marijuana use is associated with increased risk for schizophrenia. We previously reported that marijuana misuse in conjunction with specific cannabinoid receptor 1 (CNR1) genetic variants (rs12720071-G-allele carriers) contributed to white-matter (WM) brain volume deficits in schizophrenia patients. In this study, we assessed the influence of another cannabinoid-related gene, mitogen-activated protein kinase 14 (MAPK14), and potential MAPK14-CNR1 gene-gene interactions in conferring brain volume abnormalities among schizophrenia patients with marijuana abuse/dependence. MAPK14 encodes a member of the MAPK family involved in diverse cellular processes, including CNR1-induced apoptosis. METHOD We genotyped 235 schizophrenia patients on nine MAPK14 tag single nucleotide polymorphisms (tSNPs). Approximately one quarter of the sample had marijuana abuse or dependence. Differential effects of MAPK14 tSNPs on brain volumes across patients with versus without marijuana abuse/dependence were examined using ANCOVA. RESULTS Of the MAPK14 tSNPs, only rs12199654 had significant genotype effects and genotype × marijuana misuse interaction effects on WM volumes. rs12199654-A homozygotes with marijuana abuse/dependence had significantly smaller total cerebral and lobar WM volumes. The effects of MAPK14 rs12199654 on WM volume deficits remained significant even after controlling for the CNR1 rs12720071 genotype. There were significant main effects of the MAPK14 CNR1 diplotype and diplotype × marijuana interaction on WM brain volumes, with both genetic variants having additive contributions to WM volume deficits only in patients with marijuana misuse. CONCLUSIONS Given that CNR1-induced apoptosis is preceded by increased MAPK phosphorylation, our study suggests that potential MAPK14-CNR1 gene-gene interactions may mediate brain morphometric features in schizophrenia patients with heavy marijuana use.
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Affiliation(s)
- O. E. Onwuameze
- Department of Psychiatry, Southern Illinois University Medical School, Springfield, IL, USA
| | - K.W. Nam
- Department of Psychiatry, University of Iowa Carver College of Medicine, Iowa City, IA, USA
| | - E. A. Epping
- Department of Psychiatry, University of Iowa Carver College of Medicine, Iowa City, IA, USA
| | - T. H. Wassink
- Department of Psychiatry, University of Iowa Carver College of Medicine, Iowa City, IA, USA
| | - S. Ziebell
- Department of Psychiatry, University of Iowa Carver College of Medicine, Iowa City, IA, USA
| | - N. C. Andreasen
- Department of Psychiatry, University of Iowa Carver College of Medicine, Iowa City, IA, USA
| | - B.-C. Ho
- Department of Psychiatry, University of Iowa Carver College of Medicine, Iowa City, IA, USA
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19
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Yang J, Chen T, Sun L, Zhao Z, Qi X, Zhou K, Cao Y, Wang X, Qiu Y, Su M, Zhao A, Wang P, Yang P, Wu J, Feng G, He L, Jia W, Wan C. Potential metabolite markers of schizophrenia. Mol Psychiatry 2013; 18:67-78. [PMID: 22024767 PMCID: PMC3526727 DOI: 10.1038/mp.2011.131] [Citation(s) in RCA: 189] [Impact Index Per Article: 17.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/22/2023]
Abstract
Schizophrenia is a severe mental disorder that affects 0.5-1% of the population worldwide. Current diagnostic methods are based on psychiatric interviews, which are subjective in nature. The lack of disease biomarkers to support objective laboratory tests has been a long-standing bottleneck in the clinical diagnosis and evaluation of schizophrenia. Here we report a global metabolic profiling study involving 112 schizophrenic patients and 110 healthy subjects, who were divided into a training set and a test set, designed to identify metabolite markers. A panel of serum markers consisting of glycerate, eicosenoic acid, β-hydroxybutyrate, pyruvate and cystine was identified as an effective diagnostic tool, achieving an area under the receiver operating characteristic curve (AUC) of 0.945 in the training samples (62 patients and 62 controls) and 0.895 in the test samples (50 patients and 48 controls). Furthermore, a composite panel by the addition of urine β-hydroxybutyrate to the serum panel achieved a more satisfactory accuracy, which reached an AUC of 1 in both the training set and the test set. Multiple fatty acids and ketone bodies were found significantly (P<0.01) elevated in both the serum and urine of patients, suggesting an upregulated fatty acid catabolism, presumably resulting from an insufficiency of glucose supply in the brains of schizophrenia patients.
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Affiliation(s)
- J Yang
- Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders (Ministry of Education), Bio-X Center, Shanghai Jiao Tong University, Shanghai, China,Institutes for Nutritional Sciences, Shanghai Institute of Biological Sciences, Chinese Academy of Sciences, Shanghai, China
| | - T Chen
- Key Laboratory of Systems Biomedicine (Ministry of Education), Shanghai Center for Systems Biomedicine, Shanghai Jiao Tong University, Shanghai, China
| | - L Sun
- Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders (Ministry of Education), Bio-X Center, Shanghai Jiao Tong University, Shanghai, China,Institutes for Nutritional Sciences, Shanghai Institute of Biological Sciences, Chinese Academy of Sciences, Shanghai, China
| | - Z Zhao
- Department of Biomedical Informatics, Vanderbilt University School of Medicine, Nashville, TN, USA,Department of Psychiatry, Vanderbilt University School of Medicine, Nashville, TN, USA
| | - X Qi
- School of Pharmacy, Shanghai Jiao Tong University, Shanghai, China
| | - K Zhou
- Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders (Ministry of Education), Bio-X Center, Shanghai Jiao Tong University, Shanghai, China,Institutes for Nutritional Sciences, Shanghai Institute of Biological Sciences, Chinese Academy of Sciences, Shanghai, China
| | - Y Cao
- Key Laboratory of Systems Biomedicine (Ministry of Education), Shanghai Center for Systems Biomedicine, Shanghai Jiao Tong University, Shanghai, China
| | - X Wang
- Key Laboratory of Systems Biomedicine (Ministry of Education), Shanghai Center for Systems Biomedicine, Shanghai Jiao Tong University, Shanghai, China
| | - Y Qiu
- Department of Nutrition, University of North Carolina at Greensboro, North Carolina Research Campus, Kannapolis, NC, USA
| | - M Su
- Department of Nutrition, University of North Carolina at Greensboro, North Carolina Research Campus, Kannapolis, NC, USA
| | - A Zhao
- School of Pharmacy, Shanghai Jiao Tong University, Shanghai, China
| | - P Wang
- Wuhu No. 4 People's Hospital, Wuhu, China
| | - P Yang
- Wuhu No. 4 People's Hospital, Wuhu, China
| | - J Wu
- Instrumental Analysis Center, Shanghai Jiao Tong University, Shanghai, China
| | - G Feng
- Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders (Ministry of Education), Bio-X Center, Shanghai Jiao Tong University, Shanghai, China,Institutes for Nutritional Sciences, Shanghai Institute of Biological Sciences, Chinese Academy of Sciences, Shanghai, China
| | - L He
- Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders (Ministry of Education), Bio-X Center, Shanghai Jiao Tong University, Shanghai, China,Institutes for Nutritional Sciences, Shanghai Institute of Biological Sciences, Chinese Academy of Sciences, Shanghai, China,Institutes of Biomedical Sciences, Fudan University, Shanghai, China
| | - W Jia
- Key Laboratory of Systems Biomedicine (Ministry of Education), Shanghai Center for Systems Biomedicine, Shanghai Jiao Tong University, Shanghai, China,Key Laboratory of Systems Biomedicine (Ministry of Education), Shanghai Center for Systems Biomedicine, Shanghai Jiao Tong University, 800 Dongchuan Road, Shanghai 200240, China. E-mail:
| | - C Wan
- Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders (Ministry of Education), Bio-X Center, Shanghai Jiao Tong University, Shanghai, China,Institutes for Nutritional Sciences, Shanghai Institute of Biological Sciences, Chinese Academy of Sciences, Shanghai, China,Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders (Ministry of Education), Bio-X Center, Shanghai Jiao Tong University, 1954 Huashan Road, Shanghai 200030, China. E-mail:
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20
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Falkenburg J, Tracy DK. Sex and schizophrenia: a review of gender differences. PSYCHOSIS-PSYCHOLOGICAL SOCIAL AND INTEGRATIVE APPROACHES 2012. [DOI: 10.1080/17522439.2012.733405] [Citation(s) in RCA: 28] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Affiliation(s)
- Jara Falkenburg
- Department of Psychological Medicine, Cognition, Schizophrenia and Imaging Laboratory, The Institute of Psychiatry, King’s College London, UK
- Oxleas NHS Foundation Trust, Green Parks House, Princess Royal University Hospital, Kent, UK
| | - Derek K. Tracy
- Department of Psychological Medicine, Cognition, Schizophrenia and Imaging Laboratory, The Institute of Psychiatry, King’s College London, UK
- Oxleas NHS Foundation Trust, Green Parks House, Princess Royal University Hospital, Kent, UK
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21
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Zhou K, Yang Y, Gao L, He G, Li W, Tang K, Ji B, Zhang M, Li Y, Yang J, Sun L, Zhang Z, Zhu H, He L, Wan C. NMDA receptor hypofunction induces dysfunctions of energy metabolism and semaphorin signaling in rats: a synaptic proteome study. Schizophr Bull 2012; 38:579-91. [PMID: 21084551 PMCID: PMC3329985 DOI: 10.1093/schbul/sbq132] [Citation(s) in RCA: 23] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/14/2022]
Abstract
There is considerable evidence to suggest that aberrations of synapse connectivity contribute to the pathophysiology of schizophrenia and that N-methyl-D-aspartate (NMDA) receptor-mediated glutamate transmission is especially important. Administration of MK-801 ([+]-5-methyl-10, 11-dihydro-5H-dibenzo-[a, d]-cycloheptene-5, 10-iminehydrogenmaleate) induces hypofunction of NMDA receptors in rats, which are widely used as a model for schizophrenia. We investigated synaptosomal proteome expression profiling of the cerebral cortex of MK-801-treated Sprague-Dawley rats using the 2-dimensional difference gel electrophoresis method, and 49 differentially expression proteins were successfully identified using Matrix-Assisted Laser Desorption/Ionization Time-of-Flight/Time-of-Flight mass spectrometry. We carried out a literature search for further confirmation of subsynaptic locations and to explore the relevance to the diseases of differentially expressed proteins. Ingenuity Pathways Analysis (IPA) was used to further examine the underlying relationship between the changed proteins. The network encompassing "cell morphology, cell-to-cell signaling and interaction, nervous system development and function" was found to be significantly altered in the MK-801-treated rats. "Energy metabolism" and "semaphorin signaling in neurons" are the most significant IPA canonical pathways to be affected by MK-801 treatment. Using western blots, we confirmed the differential expression of Camk2a, Crmp2, Crmp5, Dnm1, and Ndufs3 in both synaptosome proteins and total proteins in the cerebral cortex of the rats. Our study identified the change and/or response of the central nervous transmission system under the stress of NMDA hypofunction, underlining the importance of the synaptic function in schizophrenia.
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Affiliation(s)
- Kejun Zhou
- Bio-X Center, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders (Ministry of Education), Shanghai Jiao Tong University, 1954 Huashan Road, Shanghai 200030, China,Institutes for Nutritional Sciences, Shanghai Institute of Biological Sciences, Chinese Academy of Sciences, Shanghai, China
| | - Yifeng Yang
- Bio-X Center, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders (Ministry of Education), Shanghai Jiao Tong University, 1954 Huashan Road, Shanghai 200030, China,Institutes for Nutritional Sciences, Shanghai Institute of Biological Sciences, Chinese Academy of Sciences, Shanghai, China
| | - Linghan Gao
- Bio-X Center, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders (Ministry of Education), Shanghai Jiao Tong University, 1954 Huashan Road, Shanghai 200030, China,Institutes for Nutritional Sciences, Shanghai Institute of Biological Sciences, Chinese Academy of Sciences, Shanghai, China
| | - Guang He
- Bio-X Center, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders (Ministry of Education), Shanghai Jiao Tong University, 1954 Huashan Road, Shanghai 200030, China,Institutes for Nutritional Sciences, Shanghai Institute of Biological Sciences, Chinese Academy of Sciences, Shanghai, China
| | - Weidong Li
- Bio-X Center, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders (Ministry of Education), Shanghai Jiao Tong University, 1954 Huashan Road, Shanghai 200030, China,Institutes for Nutritional Sciences, Shanghai Institute of Biological Sciences, Chinese Academy of Sciences, Shanghai, China
| | - Kefu Tang
- Bio-X Center, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders (Ministry of Education), Shanghai Jiao Tong University, 1954 Huashan Road, Shanghai 200030, China,Institutes for Nutritional Sciences, Shanghai Institute of Biological Sciences, Chinese Academy of Sciences, Shanghai, China
| | - Baohu Ji
- Bio-X Center, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders (Ministry of Education), Shanghai Jiao Tong University, 1954 Huashan Road, Shanghai 200030, China,Institutes for Nutritional Sciences, Shanghai Institute of Biological Sciences, Chinese Academy of Sciences, Shanghai, China
| | - Ming Zhang
- Bio-X Center, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders (Ministry of Education), Shanghai Jiao Tong University, 1954 Huashan Road, Shanghai 200030, China,Institutes for Nutritional Sciences, Shanghai Institute of Biological Sciences, Chinese Academy of Sciences, Shanghai, China
| | - Yang Li
- Bio-X Center, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders (Ministry of Education), Shanghai Jiao Tong University, 1954 Huashan Road, Shanghai 200030, China,Institutes for Nutritional Sciences, Shanghai Institute of Biological Sciences, Chinese Academy of Sciences, Shanghai, China
| | - Jinglei Yang
- Bio-X Center, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders (Ministry of Education), Shanghai Jiao Tong University, 1954 Huashan Road, Shanghai 200030, China,Institutes for Nutritional Sciences, Shanghai Institute of Biological Sciences, Chinese Academy of Sciences, Shanghai, China
| | - Liya Sun
- Bio-X Center, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders (Ministry of Education), Shanghai Jiao Tong University, 1954 Huashan Road, Shanghai 200030, China,Institutes for Nutritional Sciences, Shanghai Institute of Biological Sciences, Chinese Academy of Sciences, Shanghai, China
| | - Zhao Zhang
- Bio-X Center, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders (Ministry of Education), Shanghai Jiao Tong University, 1954 Huashan Road, Shanghai 200030, China,Institutes for Nutritional Sciences, Shanghai Institute of Biological Sciences, Chinese Academy of Sciences, Shanghai, China
| | - Hui Zhu
- Bio-X Center, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders (Ministry of Education), Shanghai Jiao Tong University, 1954 Huashan Road, Shanghai 200030, China,Institutes for Nutritional Sciences, Shanghai Institute of Biological Sciences, Chinese Academy of Sciences, Shanghai, China
| | - Lin He
- Bio-X Center, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders (Ministry of Education), Shanghai Jiao Tong University, 1954 Huashan Road, Shanghai 200030, China,Institutes for Nutritional Sciences, Shanghai Institute of Biological Sciences, Chinese Academy of Sciences, Shanghai, China,Institutes of Biomedical Sciences, Fudan University, Shanghai, China
| | - Chunling Wan
- Bio-X Center, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders (Ministry of Education), Shanghai Jiao Tong University, 1954 Huashan Road, Shanghai 200030, China,Institutes for Nutritional Sciences, Shanghai Institute of Biological Sciences, Chinese Academy of Sciences, Shanghai, China,To whom correspondence should be addressed; tel: 00-86-21-62932779, fax: 00-86-21-62822491, e-mail:
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22
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Klochkov DV, Alekhina TA, Prokudina OI. Age-specific features of estrous cycles and folliculogenesis in GC female rats selected by catatonic reactivity. Bull Exp Biol Med 2012; 151:219-22. [PMID: 22238754 DOI: 10.1007/s10517-011-1293-0] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Abstract
A decrease in the total count of follicles in the diestrus and proestrus and higher incidence of permanent estruses were found in 3-month-old females of the catatonic GC rat strain in comparison with Wistar females (control). At the age of 6-12 months, GC females had lower incidence of long estrus and diestrus. The estrous cycle of GC females was shorter than of Wistar rats. With aging (at the age of 18 months), the counts of growing and maturing follicles significantly decreased. Higher counts of growing single-layer and bilayer follicles were found in 18-month-old GC females. Differences in the length of estrus and diestrus and in the incidence of abnormal phases in the two strains also disappeared at this age. Selection by high catatonic reactivity was associated with a decrease in body weight.
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Affiliation(s)
- D V Klochkov
- Laboratory of Evolutional Genetics, Institute of Cytology and Genetics, Siberian Division of the Russian Academy of Sciences, Novosibirsk, Russia
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23
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Regenold WT, Pratt M, Nekkalapu S, Shapiro PS, Kristian T, Fiskum G. Mitochondrial detachment of hexokinase 1 in mood and psychotic disorders: implications for brain energy metabolism and neurotrophic signaling. J Psychiatr Res 2012; 46:95-104. [PMID: 22018957 DOI: 10.1016/j.jpsychires.2011.09.018] [Citation(s) in RCA: 75] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/21/2011] [Revised: 09/12/2011] [Accepted: 09/29/2011] [Indexed: 01/08/2023]
Abstract
The pathophysiology of mood and psychotic disorders, including unipolar depression (UPD), bipolar disorder (BPD) and schizophrenia (SCHZ), is largely unknown. Numerous studies, from molecular to neuroimaging, indicate that some individuals with these disorders have impaired brain energy metabolism evidenced by abnormal glucose metabolism and mitochondrial dysfunction. However, underlying mechanisms are unclear. A critical feature of brain energy metabolism is attachment to the outer mitochondrial membrane (OMM) of hexokinase 1 (HK1), an initial and rate-limiting enzyme of glycolysis. HK1 attachment to the OMM greatly enhances HK1 enzyme activity and couples cytosolic glycolysis to mitochondrial oxidative phosphorylation, through which the cell produces most of its adenosine triphosphate (ATP). HK1 mitochondrial attachment is also important to the survival of neurons and other cells through prevention of apoptosis and oxidative damage. Here we show, for the first time, a decrease in HK1 attachment to the OMM in postmortem parietal cortex brain tissue of individuals with UPD, BPD and SCHZ compared to tissue from controls without psychiatric illness. Furthermore, we show that HK1 mitochondrial detachment is associated with increased activity of the polyol pathway, an alternative, anaerobic pathway of glucose metabolism. These findings were observed in samples from both medicated and medication-free individuals. We propose that HK1 mitochondrial detachment could be linked to these disorders through impaired energy metabolism, increased vulnerability to oxidative stress, and impaired brain growth and development.
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Affiliation(s)
- W T Regenold
- Department of Psychiatry, University of Maryland School of Medicine, Baltimore, MD 21201, USA.
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24
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Chen X, Lee G, Maher BS, Fanous AH, Chen J, Zhao Z, Guo A, van den Oord E, Sullivan PF, Shi J, Levinson DF, Gejman PV, Sanders A, Duan J, Owen MJ, Craddock NJ, O'Donovan MC, Blackman J, Lewis D, Kirov GK, Qin W, Schwab S, Wildenauer D, Chowdari K, Nimgaonkar V, Straub RE, Weinberger DR, O'Neill FA, Walsh D, Bronstein M, Darvasi A, Lencz T, Malhotra AK, Rujescu D, Giegling I, Werge T, Hansen T, Ingason A, Nöethen MM, Rietschel M, Cichon S, Djurovic S, Andreassen OA, Cantor RM, Ophoff R, Corvin A, Morris DW, Gill M, Pato CN, Pato MT, Macedo A, Gurling HMD, McQuillin A, Pimm J, Hultman C, Lichtenstein P, Sklar P, Purcell SM, Scolnick E, St Clair D, Blackwood DHR, Kendler KS. GWA study data mining and independent replication identify cardiomyopathy-associated 5 (CMYA5) as a risk gene for schizophrenia. Mol Psychiatry 2011; 16:1117-29. [PMID: 20838396 PMCID: PMC3443634 DOI: 10.1038/mp.2010.96] [Citation(s) in RCA: 61] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/10/2010] [Revised: 08/03/2010] [Accepted: 08/11/2010] [Indexed: 12/24/2022]
Abstract
We conducted data-mining analyses using the Clinical Antipsychotic Trials of Intervention Effectiveness (CATIE) and molecular genetics of schizophrenia genome-wide association study supported by the genetic association information network (MGS-GAIN) schizophrenia data sets and performed bioinformatic prioritization for all the markers with P-values ≤0.05 in both data sets. In this process, we found that in the CMYA5 gene, there were two non-synonymous markers, rs3828611 and rs10043986, showing nominal significance in both the CATIE and MGS-GAIN samples. In a combined analysis of both the CATIE and MGS-GAIN samples, rs4704591 was identified as the most significant marker in the gene. Linkage disequilibrium analyses indicated that these markers were in low LD (3 828 611-rs10043986, r(2)=0.008; rs10043986-rs4704591, r(2)=0.204). In addition, CMYA5 was reported to be physically interacting with the DTNBP1 gene, a promising candidate for schizophrenia, suggesting that CMYA5 may be involved in the same biological pathway and process. On the basis of this information, we performed replication studies for these three single-nucleotide polymorphisms. The rs3828611 was found to have conflicting results in our Irish samples and was dropped out without further investigation. The other two markers were verified in 23 other independent data sets. In a meta-analysis of all 23 replication samples (family samples, 912 families with 4160 subjects; case-control samples, 11 380 cases and 15 021 controls), we found that both markers are significantly associated with schizophrenia (rs10043986, odds ratio (OR)=1.11, 95% confidence interval (CI)=1.04-1.18, P=8.2 × 10(-4) and rs4704591, OR=1.07, 95% CI=1.03-1.11, P=3.0 × 10(-4)). The results were also significant for the 22 Caucasian replication samples (rs10043986, OR=1.11, 95% CI=1.03-1.17, P=0.0026 and rs4704591, OR=1.07, 95% CI=1.02-1.11, P=0.0015). Furthermore, haplotype conditioned analyses indicated that the association signals observed at these two markers are independent. On the basis of these results, we concluded that CMYA5 is associated with schizophrenia and further investigation of the gene is warranted.
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Affiliation(s)
- X Chen
- Department of Psychiatry, Virginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University, Richmond, VA 23298-0424, USA.
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25
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Gender differences in Singaporean Chinese patients with schizophrenia. Asian J Psychiatr 2011; 4:60-4. [PMID: 23050917 DOI: 10.1016/j.ajp.2010.11.005] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/08/2010] [Revised: 11/23/2010] [Accepted: 11/27/2010] [Indexed: 11/21/2022]
Abstract
The purpose of this study was to compare gender differences in age of onset of illness, clinical features and prescription patterns in Chinese schizophrenia patients in Singapore. A cross-sectional study was conducted which recruited 903 subjects diagnosed with schizophrenia from the Institute of Mental Health between 2005 and 2008. Information on age of onset of schizophrenia, body mass index (BMI), psychiatric family history and current medication was collected via a standardised collection form. Symptom severity was assessed with Positive and Negative Syndrome Scale (PANSS). Differences in age of onset of schizophrenia illness, clinical features and prescription patterns were compared between gender groups. Among sporadic schizophrenia cases, female subjects demonstrated a bimodal distribution in age of onset of illness, and had a significantly later age of illness onset compared with male subjects. For subjects with family history of psychiatric disorder, no significant gender differences were found in age of onset of illness. Female subjects had significantly higher BMI, higher proportion of diabetes mellitus, lower negative symptom scores and were prescribed more atypical antipsychotics and antidepressants compared with male subjects. Male subjects after age 50 were prescribed a lower antipsychotic dose, but this difference was not observed in female subjects. In conclusion, we found differences in age of onset of schizophrenia, severity of negative symptoms and prescription patterns between the male and female gender groups in Chinese schizophrenia patients in Singapore. These differences were consistent with findings from Caucasian population, and could possibly be explained by influences of oestrogen.
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26
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GSK3B and schizophrenia: a case not closed. Psychopharmacology (Berl) 2010; 208:333-4; author reply 335-6. [PMID: 19936977 DOI: 10.1007/s00213-009-1728-8] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/08/2009] [Accepted: 11/06/2009] [Indexed: 10/20/2022]
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27
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Glatt SJ, Chandler SD, Bousman CA, Chana G, Lucero GR, Tatro E, May T, Lohr JB, Kremen WS, Everall IP, Tsuang MT. Alternatively Spliced Genes as Biomarkers for Schizophrenia, Bipolar Disorder and Psychosis: A Blood-Based Spliceome-Profiling Exploratory Study. ACTA ACUST UNITED AC 2009; 7:164-188. [PMID: 21532980 DOI: 10.2174/1875692110907030164] [Citation(s) in RCA: 40] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
Abstract
OBJECTIVE: Transcriptomic biomarkers of psychiatric diseases obtained from a query of peripheral tissues that are clinically accessible (e.g., blood cells instead of post-mortem brain tissue) have substantial practical appeal to discern the molecular subtypes of common complex diseases such as major psychosis. To this end, spliceome-profiling is a new methodological approach that has considerable conceptual relevance for discovery and clinical translation of novel biomarkers for psychiatric illnesses. Advances in microarray technology now allow for improved sensitivity in measuring the transcriptome while simultaneously querying the "exome" (all exons) and "spliceome" (all alternatively spliced variants). The present study aimed to evaluate the feasibility of spliceome-profiling to discern transcriptomic biomarkers of psychosis. METHODS: We measured exome and spliceome expression in peripheral blood mononuclear cells from 13 schizophrenia patients, nine bipolar disorder patients, and eight healthy control subjects. Each diagnostic group was compared to each other, and the combined group of bipolar disorder and schizophrenia patients was also compared to the control group. Furthermore, we compared subjects with a history of psychosis to subjects without such history. RESULTS: After applying Bonferroni corrections for the 21,866 full-length gene transcripts analyzed, we found significant interactions between diagnostic group and exon identity, consistent with group differences in rates or types of alternative splicing. Relative to the control group, 18 genes in the bipolar disorder group, eight genes in the schizophrenia group, and 15 genes in the combined bipolar disorder and schizophrenia group appeared differentially spliced. Importantly, thirty-three genes showed differential splicing patterns between the bipolar disorder and schizophrenia groups. More frequent exon inclusion and/or over-expression was observed in psychosis. Finally, these observations are reconciled with an analysis of the ontologies, the pathways and the protein domains significantly over-represented among the alternatively spliced genes, several of which support prior discoveries. CONCLUSIONS: To our knowledge, this is the first blood-based spliceome-profiling study of schizophrenia and bipolar disorder to be reported. The battery of alternatively spliced genes and exons identified in this discovery-oriented exploratory study, if replicated, may have potential utility to discern the molecular subtypes of psychosis. Spliceome-profiling, as a new methodological approach in transcriptomics, warrants further work to evaluate its utility in personalized medicine. Potentially, this approach could also permit the future development of tissue-sampling methodologies in a form that is more acceptable to patients and thereby allow monitoring of dynamic and time-dependent plasticity in disease severity and response to therapeutic interventions in clinical psychiatry.
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Affiliation(s)
- S J Glatt
- Department of Psychiatry and Behavioral Sciences, and Medical Genetics Research Center; SUNY Upstate Medical University; 750 East Adams Street; Syracuse, NY, 13210; USA
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28
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Mudge J, Miller NA, Khrebtukova I, Lindquist IE, May GD, Huntley JJ, Luo S, Zhang L, van Velkinburgh JC, Farmer AD, Lewis S, Beavis WD, Schilkey FD, Virk SM, Black CF, Myers MK, Mader LC, Langley RJ, Utsey JP, Kim RW, Roberts RC, Khalsa SK, Garcia M, Ambriz-Griffith V, Harlan R, Czika W, Martin S, Wolfinger RD, Perrone-Bizzozero NI, Schroth GP, Kingsmore SF. Genomic convergence analysis of schizophrenia: mRNA sequencing reveals altered synaptic vesicular transport in post-mortem cerebellum. PLoS One 2008; 3:e3625. [PMID: 18985160 PMCID: PMC2576459 DOI: 10.1371/journal.pone.0003625] [Citation(s) in RCA: 97] [Impact Index Per Article: 6.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2008] [Accepted: 10/10/2008] [Indexed: 02/06/2023] Open
Abstract
Schizophrenia (SCZ) is a common, disabling mental illness with high heritability but complex, poorly understood genetic etiology. As the first phase of a genomic convergence analysis of SCZ, we generated 16.7 billion nucleotides of short read, shotgun sequences of cDNA from post-mortem cerebellar cortices of 14 patients and six, matched controls. A rigorous analysis pipeline was developed for analysis of digital gene expression studies. Sequences aligned to approximately 33,200 transcripts in each sample, with average coverage of 450 reads per gene. Following adjustments for confounding clinical, sample and experimental sources of variation, 215 genes differed significantly in expression between cases and controls. Golgi apparatus, vesicular transport, membrane association, Zinc binding and regulation of transcription were over-represented among differentially expressed genes. Twenty three genes with altered expression and involvement in presynaptic vesicular transport, Golgi function and GABAergic neurotransmission define a unifying molecular hypothesis for dysfunction in cerebellar cortex in SCZ.
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Affiliation(s)
- Joann Mudge
- National Center for Genome Resources, Santa Fe, New Mexico, United States of America
| | - Neil A. Miller
- National Center for Genome Resources, Santa Fe, New Mexico, United States of America
| | | | - Ingrid E. Lindquist
- National Center for Genome Resources, Santa Fe, New Mexico, United States of America
| | - Gregory D. May
- National Center for Genome Resources, Santa Fe, New Mexico, United States of America
| | - Jim J. Huntley
- National Center for Genome Resources, Santa Fe, New Mexico, United States of America
| | - Shujun Luo
- Illumina Inc., Hayward, California, United States of America
| | - Lu Zhang
- Illumina Inc., Hayward, California, United States of America
| | | | - Andrew D. Farmer
- National Center for Genome Resources, Santa Fe, New Mexico, United States of America
| | - Sharon Lewis
- National Center for Genome Resources, Santa Fe, New Mexico, United States of America
| | - William D. Beavis
- National Center for Genome Resources, Santa Fe, New Mexico, United States of America
| | - Faye D. Schilkey
- National Center for Genome Resources, Santa Fe, New Mexico, United States of America
| | - Selene M. Virk
- National Center for Genome Resources, Santa Fe, New Mexico, United States of America
| | - C. Forrest Black
- National Center for Genome Resources, Santa Fe, New Mexico, United States of America
| | - M. Kathy Myers
- National Center for Genome Resources, Santa Fe, New Mexico, United States of America
| | - Lar C. Mader
- National Center for Genome Resources, Santa Fe, New Mexico, United States of America
| | - Ray J. Langley
- National Center for Genome Resources, Santa Fe, New Mexico, United States of America
| | - John P. Utsey
- National Center for Genome Resources, Santa Fe, New Mexico, United States of America
| | - Ryan W. Kim
- National Center for Genome Resources, Santa Fe, New Mexico, United States of America
| | - Rosalinda C. Roberts
- Department of Psychiatry, University of Alabama at Birmingham, Birmingham, Alabama, United States of America
| | - Sat Kirpal Khalsa
- Northern New Mexico College, Española, New Mexico, United States of America
| | - Meredith Garcia
- Northern New Mexico College, Española, New Mexico, United States of America
| | | | - Richard Harlan
- Northern New Mexico College, Española, New Mexico, United States of America
| | - Wendy Czika
- SAS Institute, Cary, North Carolina, United States of America
| | - Stanton Martin
- SAS Institute, Cary, North Carolina, United States of America
| | | | - Nora I. Perrone-Bizzozero
- Department of Neurosciences, University of New Mexico, Albuquerque, New Mexico, United States of America
| | - Gary P. Schroth
- Illumina Inc., Hayward, California, United States of America
| | - Stephen F. Kingsmore
- National Center for Genome Resources, Santa Fe, New Mexico, United States of America
- * E-mail:
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