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Lin P, Sun J, Lou X, Li D, Shi Y, Li Z, Ma P, Li P, Chen S, Jin W, Liu S, Chen Q, Gao Q, Zhu L, Xu J, Zhu M, Wang M, Liang K, Zhao L, Xu H, Dong K, Li Q, Cheng X, Chen J, Guo X. Consensus on potential biomarkers developed for use in clinical tests for schizophrenia. Gen Psychiatr 2022; 35:e100685. [PMID: 35309241 PMCID: PMC8867318 DOI: 10.1136/gpsych-2021-100685] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/22/2021] [Accepted: 01/07/2022] [Indexed: 12/12/2022] Open
Abstract
BackgroundSchizophrenia is a serious mental illness affecting approximately 20 million individuals globally. Both genetic and environmental factors contribute to the illness. If left undiagnosed and untreated, schizophrenia results in impaired social function, repeated hospital admissions, reduced quality of life and decreased life expectancy. Clinical diagnosis largely relies on subjective evidence, including self-reported experiences, and reported behavioural abnormalities followed by psychiatric evaluation. In addition, psychoses may occur along with other conditions, and the symptoms are often episodic and transient, posing a significant challenge to the precision of diagnosis. Therefore, objective, specific tests using biomarkers are urgently needed for differential diagnosis of schizophrenia in clinical practice.AimsWe aimed to provide evidence-based and consensus-based recommendations, with a summary of laboratory measurements that could potentially be used as biomarkers for schizophrenia, and to discuss directions for future research.MethodsWe searched publications within the last 10 years with the following keywords: ‘schizophrenia’, ‘gene’, ‘inflammation’, ‘neurotransmitter’, ‘protein marker’, ‘gut microbiota’, ‘pharmacogenomics’ and ‘biomarker’. A draft of the consensus was discussed and agreed on by all authors at a round table session.ResultsWe summarised the characteristics of candidate diagnostic markers for schizophrenia, including genetic, inflammatory, neurotransmitter, peripheral protein, pharmacogenomic and gut microbiota markers. We also proposed a novel laboratory process for diagnosing schizophrenia in clinical practice based on the evidence summarised in this paper.ConclusionsFurther efforts are needed to identify schizophrenia-specific genetic and epigenetic markers for precise diagnosis, differential diagnosis and ethnicity-specific markers for the Chinese population. The development of novel laboratory techniques is making it possible to use these biomarkers clinically to diagnose disease.
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Affiliation(s)
- Ping Lin
- Department of Clinical Laboratory, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Department of Medical Microbiology and Parasitology, Fudan University School of Basic Medical Sciences, Shanghai, China
| | - Junyu Sun
- Department of Psychosis, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, UK
| | - Xiaoyan Lou
- Department of Clinical Laboratory, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Dan Li
- Department of Clinical Laboratory, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yun Shi
- Department of Clinical Laboratory, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Zhenhua Li
- Department of Clinical Laboratory, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Peijun Ma
- Department of Clinical Laboratory, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Ping Li
- Department of Clinical Laboratory, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Shuzi Chen
- Department of Clinical Laboratory, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Weifeng Jin
- Department of Clinical Laboratory, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Shuai Liu
- Department of Clinical Laboratory, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Qing Chen
- Department of Clinical Laboratory, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Qiong Gao
- Department of Clinical Laboratory, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Lili Zhu
- Department of Clinical Laboratory, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Jie Xu
- Department of Clinical Laboratory, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Mengyuan Zhu
- Department of Clinical Laboratory, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Mengxia Wang
- Department of Clinical Laboratory, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Kangyi Liang
- Department of Clinical Laboratory, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Ling Zhao
- Department of Clinical Laboratory, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Huabin Xu
- Clinical Laboratory, Affiliated Hospital of West Anhui Health Vocational College, Lu’an, Anhui, China
| | - Ke Dong
- School of Global Health, Chinese Center for Tropical Diseases Research, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Qingtian Li
- School of Global Health, Chinese Center for Tropical Diseases Research, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Xunjia Cheng
- Department of Medical Microbiology and Parasitology, Fudan University School of Basic Medical Sciences, Shanghai, China
| | - Jinghong Chen
- Editorial Office of General Psychiatry, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai Key Laboratory of Psychotic Disorders, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Xiaokui Guo
- School of Global Health, Chinese Center for Tropical Diseases Research, Shanghai Jiao Tong University School of Medicine, Shanghai, China
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Prokopenko D, Lee S, Hecker J, Mullin K, Morgan S, Katsumata Y, Weiner MW, Fardo DW, Laird N, Bertram L, Hide W, Lange C, Tanzi RE. Region-based analysis of rare genomic variants in whole-genome sequencing datasets reveal two novel Alzheimer's disease-associated genes: DTNB and DLG2. Mol Psychiatry 2022; 27:1963-1969. [PMID: 35246634 PMCID: PMC9126808 DOI: 10.1038/s41380-022-01475-0] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/12/2021] [Revised: 01/25/2022] [Accepted: 02/04/2022] [Indexed: 01/01/2023]
Abstract
Alzheimer's disease (AD) is a genetically complex disease for which nearly 40 loci have now been identified via genome-wide association studies (GWAS). We attempted to identify groups of rare variants (alternate allele frequency <0.01) associated with AD in a region-based, whole-genome sequencing (WGS) association study (rvGWAS) of two independent AD family datasets (NIMH/NIA; 2247 individuals; 605 families). Employing a sliding window approach across the genome, we identified several regions that achieved association p values <10-6, using the burden test or the SKAT statistic. The genomic region around the dystobrevin beta (DTNB) gene was identified with the burden and SKAT test and replicated in case/control samples from the ADSP study reaching genome-wide significance after meta-analysis (pmeta = 4.74 × 10-8). SKAT analysis also revealed region-based association around the Discs large homolog 2 (DLG2) gene and replicated in case/control samples from the ADSP study (pmeta = 1 × 10-6). In conclusion, in a region-based rvGWAS of AD we identified two novel AD genes, DLG2 and DTNB, based on association with rare variants.
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Affiliation(s)
- Dmitry Prokopenko
- grid.32224.350000 0004 0386 9924Genetics and Aging Research Unit and The Henry and Allison McCance Center for Brain Health, Department of Neurology, Massachusetts General Hospital, Boston, MA USA ,grid.38142.3c000000041936754XHarvard Medical School, Boston, MA USA
| | - Sanghun Lee
- grid.411982.70000 0001 0705 4288Department of Medical Consilience, Graduate School, Dankook University, Yongin, South Korea ,grid.38142.3c000000041936754XDepartment of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA USA
| | - Julian Hecker
- grid.38142.3c000000041936754XHarvard Medical School, Boston, MA USA ,grid.62560.370000 0004 0378 8294Channing Division of Network Medicine, Brigham and Women’s Hospital, Boston, MA USA
| | - Kristina Mullin
- grid.32224.350000 0004 0386 9924Genetics and Aging Research Unit and The Henry and Allison McCance Center for Brain Health, Department of Neurology, Massachusetts General Hospital, Boston, MA USA
| | - Sarah Morgan
- grid.38142.3c000000041936754XHarvard Medical School, Boston, MA USA ,grid.239395.70000 0000 9011 8547Department of Pathology, Beth Israel Deaconess Medical Center, 330 Brookline Avenue, Boston, MA USA
| | - Yuriko Katsumata
- grid.266539.d0000 0004 1936 8438Department of Biostatistics, University of Kentucky, Lexington, KY USA ,grid.266539.d0000 0004 1936 8438Sanders-Brown Center on Aging, University of Kentucky, Lexington, KY USA
| | | | - Michael W. Weiner
- grid.266102.10000 0001 2297 6811Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, CA USA
| | - David W. Fardo
- grid.266539.d0000 0004 1936 8438Department of Biostatistics, University of Kentucky, Lexington, KY USA ,grid.266539.d0000 0004 1936 8438Sanders-Brown Center on Aging, University of Kentucky, Lexington, KY USA
| | - Nan Laird
- grid.38142.3c000000041936754XDepartment of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA USA
| | - Lars Bertram
- grid.4562.50000 0001 0057 2672Lübeck Interdisciplinary Platform for Genome Analytics, University of Lübeck, Lübeck, Germany ,grid.5510.10000 0004 1936 8921Department of Psychology, University of Oslo, Oslo, Norway
| | - Winston Hide
- grid.38142.3c000000041936754XHarvard Medical School, Boston, MA USA ,grid.239395.70000 0000 9011 8547Department of Pathology, Beth Israel Deaconess Medical Center, 330 Brookline Avenue, Boston, MA USA
| | - Christoph Lange
- grid.38142.3c000000041936754XDepartment of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA USA
| | - Rudolph E. Tanzi
- grid.32224.350000 0004 0386 9924Genetics and Aging Research Unit and The Henry and Allison McCance Center for Brain Health, Department of Neurology, Massachusetts General Hospital, Boston, MA USA ,grid.38142.3c000000041936754XHarvard Medical School, Boston, MA USA
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Lifetime psychopathological characteristics associated with comorbid obsessive-compulsive disorder in clinically stable patients with chronic schizophrenia. Asian J Psychiatr 2020; 50:101991. [PMID: 32151982 DOI: 10.1016/j.ajp.2020.101991] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/26/2019] [Revised: 02/24/2020] [Accepted: 02/25/2020] [Indexed: 12/16/2022]
Abstract
Obsessive-compulsive symptoms (OCS) commonly occur in the course of schizophrenia. The aim of this study was to investigate the rate of obsessive-compulsive disorder (OCD) in patients with chronic schizophrenia and evaluate lifetime correlates of the comorbidity. Subjects were clinically stable patients with chronic schizophrenia (n = 320). Patients having comorbid OCD and those without OCD were compared in terms of symptoms dimensions and cognitive function. OCD was found in 20.6 % of subjects. Earlier age at onset, male gender, higher level of education, comorbid panic disorder, and specific phobia were associated with comorbid OCD. In terms of lifetime symptoms, depression (p = 0.001) and anxiety (p = 0.014) showed significant association with the comorbidity, which corroborates with our previous study findings regarding OCD in bipolar disorder. In addition, decreased emotional response (p = 0.016), less formal thought disorder (p = 0.007), and less prodromal impairment (p = 0.005) were independently associated with the comorbidity. The OCD group showed better performance in working memory domain (p = 0.027) while other cognitive domains did not show any significant difference between the two groups. Association of OCSs with depressive symptoms and other comorbid anxiety disorders seems to be a common finding across schizophrenia and bipolar disorder. This study also suggests that comorbidity of OCD in schizophrenia is associated with less impairment of thought process and cognitive function throughout the disease course.
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Waddington JL, Zhen X, O'Tuathaigh CMP. Developmental Genes and Regulatory Proteins, Domains of Cognitive Impairment in Schizophrenia Spectrum Psychosis and Implications for Antipsychotic Drug Discovery: The Example of Dysbindin-1 Isoforms and Beyond. Front Pharmacol 2020; 10:1638. [PMID: 32063853 PMCID: PMC7000454 DOI: 10.3389/fphar.2019.01638] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2019] [Accepted: 12/16/2019] [Indexed: 12/19/2022] Open
Abstract
Alongside positive and negative symptomatology, deficits in working memory, attention, selective learning processes, and executive function have been widely documented in schizophrenia spectrum psychosis. These cognitive abnormalities are strongly associated with impairment across multiple function domains and are generally treatment-resistant. The DTNBP1 (dystrobrevin-binding protein-1) gene, encoding dysbindin, is considered a risk factor for schizophrenia and is associated with variation in cognitive function in both clinical and nonclinical samples. Downregulation of DTNBP1 expression in dorsolateral prefrontal cortex and hippocampal formation of patients with schizophrenia has been suggested to serve as a primary pathophysiological process. Described as a "hub," dysbindin is an important regulatory protein that is linked with multiple complexes in the brain and is involved in a wide variety of functions implicated in neurodevelopment and neuroplasticity. The expression pattern of the various dysbindin isoforms (-1A, -1B, -1C) changes depending upon stage of brain development, tissue areas and subcellular localizations, and can involve interaction with different protein partners. We review evidence describing how sequence variation in DTNBP1 isoforms has been differentially associated with schizophrenia-associated symptoms. We discuss results linking these isoform proteins, and their interacting molecular partners, with cognitive dysfunction in schizophrenia, including evidence from drosophila through to genetic mouse models of dysbindin function. Finally, we discuss preclinical evidence investigating the antipsychotic potential of molecules that influence dysbindin expression and functionality. These studies, and other recent work that has extended this approach to other developmental regulators, may facilitate identification of novel molecular pathways leading to improved antipsychotic treatments.
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Affiliation(s)
- John L Waddington
- School of Pharmacy and Biomolecular Sciences, Royal College of Surgeons in Ireland, Dublin, Ireland.,Jiangsu Key Laboratory of Translational Research & Therapy for Neuro-Psychiatric Disorders and Department of Pharmacology, College of Pharmaceutical Sciences, Soochow University, Suzhou, China
| | - Xuechu Zhen
- Jiangsu Key Laboratory of Translational Research & Therapy for Neuro-Psychiatric Disorders and Department of Pharmacology, College of Pharmaceutical Sciences, Soochow University, Suzhou, China
| | - Colm M P O'Tuathaigh
- School of Pharmacy and Biomolecular Sciences, Royal College of Surgeons in Ireland, Dublin, Ireland.,Medical Education Unit, School of Medicine, Brookfield Health Sciences Complex, University College Cork, Cork, Ireland
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5
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Trantham-Davidson H, Lavin A. Loss of dysbindin-1 affects GABAergic transmission in the PFC. Psychopharmacology (Berl) 2019; 236:3291-3300. [PMID: 31201475 PMCID: PMC6832803 DOI: 10.1007/s00213-019-05285-1] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/06/2019] [Accepted: 05/24/2019] [Indexed: 10/26/2022]
Abstract
It has been shown that dystrobrevin-binding protein 1 gene that encodes the protein dysbindin-1 is associated with risk for cognitive deficits, and studies have shown decreases in glutamate and correlated decreases in dysbindin-1 protein in the prefrontal cortex (PFC) and hippocampus of post-mortem tissue from schizophrenia patients. The PFC and the hippocampus have been shown to play a fundamental role in cognition, and studies in dysbindin-1 null mice have shown alterations in NMDAR located in pyramidal neurons as well as perturbation in LTP and cognitive deficits. The balance between excitatory and inhibitory transmission is crucial for normal cognitive functions; however, there is a dearth of information regarding the effects of loss of dysbindin-1 in GABAergic transmission. Using in vitro whole-cell clamp recordings, Western blots, and immunohistochemistry, we report here that dysbindin-1-deficient mice exhibit a significant decrease in the frequency of sIPSCs and in the amplitude of mIPSCs and significant decreases in PV staining and protein level. These results suggest that loss of dysbindin-1 affects GABAergic transmission at pre- and postsynaptic level and decreases parvalbumin markers.
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Affiliation(s)
| | - A Lavin
- Department of Neuroscience, MUSC, Charleston, SC, 29425, USA.
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6
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Dysbindin-1 Involvement in the Etiology of Schizophrenia. Int J Mol Sci 2017; 18:ijms18102044. [PMID: 28937620 PMCID: PMC5666726 DOI: 10.3390/ijms18102044] [Citation(s) in RCA: 28] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/28/2017] [Revised: 09/16/2017] [Accepted: 09/19/2017] [Indexed: 12/13/2022] Open
Abstract
Schizophrenia is a major psychiatric disorder that afflicts about 1% of the world’s population, falling into the top 10 medical disorders causing disability. Existing therapeutic strategies have had limited success on cognitive impairment and long-term disability and are burdened by side effects. Although new antipsychotic medications have been launched in the past decades, there has been a general lack of significant innovation. This lack of significant progress in the pharmacotherapy of schizophrenia is a reflection of the complexity and heterogeneity of the disease. To date, many susceptibility genes have been identified to be associated with schizophrenia. DTNBP1 gene, which encodes dysbindin-1, has been linked to schizophrenia in multiple populations. Studies on genetic variations show that DTNBP1 modulate prefrontal brain functions and psychiatric phenotypes. Dysbindin-1 is enriched in the dorsolateral prefrontal cortex and hippocampus, while postmortem brain studies of individuals with schizophrenia show decreased levels of dysbindin-1 mRNA and protein in these brain regions. These studies proposed a strong connection between dysbindin-1 function and the pathogenesis of disease. Dysbindin-1 protein was localized at both pre- and post-synaptic sites, where it regulates neurotransmitter release and receptors signaling. Moreover, dysbindin-1 has also been found to be involved in neuronal development. Reduced expression levels of dysbindin-1 mRNA and protein appear to be common in dysfunctional brain areas of schizophrenic patients. The present review addresses our current knowledge of dysbindin-1 with emphasis on its potential role in the schizophrenia pathology. We propose that dysbindin-1 and its signaling pathways may constitute potential therapeutic targets in the therapy of schizophrenia.
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7
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Petit EI, Michalak Z, Cox R, O'Tuathaigh CMP, Clarke N, Tighe O, Talbot K, Blake D, Joel J, Shaw A, Sheardown SA, Morrison AD, Wilson S, Shapland EM, Henshall DC, Kew JN, Kirby BP, Waddington JL. Dysregulation of Specialized Delay/Interference-Dependent Working Memory Following Loss of Dysbindin-1A in Schizophrenia-Related Phenotypes. Neuropsychopharmacology 2017; 42:1349-1360. [PMID: 27986973 PMCID: PMC5437891 DOI: 10.1038/npp.2016.282] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/17/2016] [Revised: 11/28/2016] [Accepted: 12/11/2016] [Indexed: 01/12/2023]
Abstract
Dysbindin-1, a protein that regulates aspects of early and late brain development, has been implicated in the pathobiology of schizophrenia. As the functional roles of the three major isoforms of dysbindin-1, (A, B, and C) remain unknown, we generated a novel mutant mouse, dys-1A-/-, with selective loss of dysbindin-1A and investigated schizophrenia-related phenotypes in both males and females. Loss of dysbindin-1A resulted in heightened initial exploration and disruption in subsequent habituation to a novel environment, together with heightened anxiety-related behavior in a stressful environment. Loss of dysbindin-1A was not associated with disruption of either long-term (olfactory) memory or spontaneous alternation behavior. However, dys-1A-/- showed enhancement in delay-dependent working memory under high levels of interference relative to controls, ie, impairment in sensitivity to the disruptive effect of such interference. These findings in dys-1A-/- provide the first evidence for differential functional roles for dysbindin-1A vs dysbindin-1C isoforms among phenotypes relevant to the pathobiology of schizophrenia. Future studies should investigate putative sex differences in these phenotypic effects.
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Affiliation(s)
- Emilie I Petit
- Molecular and Cellular Therapeutics, Royal College of Surgeons in Ireland, Dublin, Ireland
- Molecular Pharmacology, Albert Einstein College of Medicine, Bronx, NY, USA
| | - Zuzanna Michalak
- Department of Physiology and Medical Physics, Royal College of Surgeons in Ireland, Dublin, Ireland
- Clinical and Experimental Epilepsy, University College London Institute of Neurology, London, UK
| | - Rachel Cox
- Molecular and Cellular Therapeutics, Royal College of Surgeons in Ireland, Dublin, Ireland
| | - Colm M P O'Tuathaigh
- Molecular and Cellular Therapeutics, Royal College of Surgeons in Ireland, Dublin, Ireland
- School of Medicine, University College Cork, Cork, Ireland
| | - Niamh Clarke
- Molecular and Cellular Therapeutics, Royal College of Surgeons in Ireland, Dublin, Ireland
- Office of Research and Innovation, Royal College of Surgeons in Ireland, Dublin, Ireland
| | - Orna Tighe
- Molecular and Cellular Therapeutics, Royal College of Surgeons in Ireland, Dublin, Ireland
| | - Konrad Talbot
- Department of Neurology, University of California at Los Angeles, Los Angeles, CA, USA
| | - Derek Blake
- Institute of Psychological Medicine and Clinical Neurosciences, MRC Centre for Neuropsychiatric Genetics and Genomics, Cardiff University, Cardiff, UK
| | - Josephine Joel
- Neurology Centre of Excellence for Drug Discovery, GlaxoSmithKline, Harlow, UK
- Horizon Discovery, Cambridge, UK
| | - Alexander Shaw
- Neurology Centre of Excellence for Drug Discovery, GlaxoSmithKline, Harlow, UK
| | - Steven A Sheardown
- Neurology Centre of Excellence for Drug Discovery, GlaxoSmithKline, Harlow, UK
- Takeda Cambridge, Cambridge, UK
| | - Alastair D Morrison
- Neurology Centre of Excellence for Drug Discovery, GlaxoSmithKline, Harlow, UK
- Worldwide Business Development, GlaxoSmithKline, Stevenage, UK
| | - Stephen Wilson
- Neurology Centre of Excellence for Drug Discovery, GlaxoSmithKline, Harlow, UK
- Laboratory Animal Sciences, GlaxoSmithKline, Stevenage, UK
| | - Ellen M Shapland
- Neurology Centre of Excellence for Drug Discovery, GlaxoSmithKline, Harlow, UK
| | - David C Henshall
- Department of Physiology and Medical Physics, Royal College of Surgeons in Ireland, Dublin, Ireland
| | - James N Kew
- Neurology Centre of Excellence for Drug Discovery, GlaxoSmithKline, Harlow, UK
| | - Brian P Kirby
- School of Pharmacy, Royal College of Surgeons in Ireland, Dublin, Ireland
| | - John L Waddington
- Molecular and Cellular Therapeutics, Royal College of Surgeons in Ireland, Dublin, Ireland
- Jiangsu Key Laboratory of Translational Research & Therapy for Neuro-Psychiatric-Disorders and Department of Pharmacology, College of Pharmaceutical Sciences, Soochow University, Suzhou, China
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8
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Bakanidze G, Brandl EJ, Hutzler C, Aurass F, Onken S, Rapp MA, Puls I. Association of Dystrobrevin-Binding Protein 1 Polymorphisms with Sustained Attention and Set-Shifting in Schizophrenia Patients. Neuropsychobiology 2017; 74:41-47. [PMID: 27798936 DOI: 10.1159/000450550] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/30/2016] [Accepted: 09/01/2016] [Indexed: 11/19/2022]
Abstract
BACKGROUND Despite extensive research in the past decades, the influence of genetics on cognitive functions in schizophrenia remains unclear. Dystrobrevin-binding protein 1 (DTNBP1) is one of the most promising candidate genes in schizophrenia. An association of DTNBP1 with cognitive dysfunction, particularly memory impairment, has been reported in a number of studies. However, the results remain inconsistent. The aim of this study was to measure the association between DTNBP1 polymorphisms and cognitive domains in a well-characterized sample. METHODS Ninety-one clinically stable schizophrenia outpatients underwent a battery of cognitive tests. Six single nucleotide polymorphisms (SNPs) of DTNBP1 were genotyped in all participants. Statistical and multivariate analyses were performed. RESULTS Factor analysis revealed 4 factors corresponding to distinct cognitive domains, namely sustained attention, set-shifting, executive functioning, and memory. We found a significant association of the rs909706 polymorphism with attention (p = 0.030) and a nonsignificant trend for set-shifting (p = 0.060). The other SNPs and haplotypes were not associated with cognitive function. DISCUSSION Replication of this finding in a larger sample is needed in order to confirm the importance of this particular polymorphism in the genetics of schizophrenia, particularly the distinct cognitive domains. In conclusion, the present study supports the involvement of DTNBP1 in the regulation of cognitive processes and demonstrates association in particular with sustained attention and set-shifting in schizophrenia patients.
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Affiliation(s)
- George Bakanidze
- Department of Psychiatry and Psychotherapy, Campus Charité Mitte, Charité University Medicine, Berlin, Germany
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9
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Zai G, Robbins TW, Sahakian BJ, Kennedy JL. A review of molecular genetic studies of neurocognitive deficits in schizophrenia. Neurosci Biobehav Rev 2017; 72:50-67. [DOI: 10.1016/j.neubiorev.2016.10.024] [Citation(s) in RCA: 40] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2015] [Revised: 10/17/2016] [Accepted: 10/27/2016] [Indexed: 02/08/2023]
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10
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Correa DD, Satagopan J, Cheung K, Arora AK, Kryza-Lacombe M, Xu Y, Karimi S, Lyo J, DeAngelis LM, Orlow I. COMT, BDNF, and DTNBP1 polymorphisms and cognitive functions in patients with brain tumors. Neuro Oncol 2016; 18:1425-33. [PMID: 27091610 PMCID: PMC5035520 DOI: 10.1093/neuonc/now057] [Citation(s) in RCA: 36] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/12/2015] [Accepted: 03/11/2016] [Indexed: 12/29/2022] Open
Abstract
BACKGROUND Cognitive dysfunction is common among patients with brain tumors and can be associated with the disease and treatment with radiotherapy and chemotherapy. However, little is known about genetic risk factors that may moderate the vulnerability for developing cognitive dysfunction. In this study, we examined the association of single nucleotide polymorphisms (SNPs) in the catechol-O-methyl transferase (COMT), brain-derived neurotrophic factor (BDNF), and dystrobrevin-binding protein 1 (DTNBP1) genes with cognitive functions and neuroimaging outcomes in patients with brain tumors. METHODS One hundred and fifty patients with brain tumors completed neuropsychological tests of attention, executive functions, and memory and were genotyped for polymorphisms in the COMT, BDNF, and DTNBP1 genes. Ratings of white matter (WM) abnormalities on magnetic resonance imaging scans were performed. RESULTS Multivariate regression shrinkage analyses, adjusted for age, education, treatment type, time since treatment completion, and tumor location, indicated a significant association between the COMT SNP rs4680 (Val158Met) and memory with lower scores in delayed recall (P < .01) among homozygotes (valine/valine). Additional COMT, BDNF and DTNBP1 SNPs were significantly associated with attention, executive functions, and memory scores. CONCLUSION This is the first study to suggest that known and newly described polymorphisms in genes associated with executive and memory functions in healthy individuals and other clinical populations may modulate cognitive outcome in patients with brain tumors.
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Affiliation(s)
- Denise D Correa
- Department of Neurology, Memorial Sloan Kettering Cancer Center, New York, New York (D.D.C., M.K.-L., L.M.D.); Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, New York (J.S., K.C., A.K.A., Y.X., I.O.); Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, New York (S.K., J.L.); Department of Neurology and Neuroscience, Weill Cornell Medical College, New York, New York (D.D.C., L.M.D.)
| | - Jaya Satagopan
- Department of Neurology, Memorial Sloan Kettering Cancer Center, New York, New York (D.D.C., M.K.-L., L.M.D.); Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, New York (J.S., K.C., A.K.A., Y.X., I.O.); Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, New York (S.K., J.L.); Department of Neurology and Neuroscience, Weill Cornell Medical College, New York, New York (D.D.C., L.M.D.)
| | - Kenneth Cheung
- Department of Neurology, Memorial Sloan Kettering Cancer Center, New York, New York (D.D.C., M.K.-L., L.M.D.); Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, New York (J.S., K.C., A.K.A., Y.X., I.O.); Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, New York (S.K., J.L.); Department of Neurology and Neuroscience, Weill Cornell Medical College, New York, New York (D.D.C., L.M.D.)
| | - Arshi K Arora
- Department of Neurology, Memorial Sloan Kettering Cancer Center, New York, New York (D.D.C., M.K.-L., L.M.D.); Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, New York (J.S., K.C., A.K.A., Y.X., I.O.); Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, New York (S.K., J.L.); Department of Neurology and Neuroscience, Weill Cornell Medical College, New York, New York (D.D.C., L.M.D.)
| | - Maria Kryza-Lacombe
- Department of Neurology, Memorial Sloan Kettering Cancer Center, New York, New York (D.D.C., M.K.-L., L.M.D.); Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, New York (J.S., K.C., A.K.A., Y.X., I.O.); Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, New York (S.K., J.L.); Department of Neurology and Neuroscience, Weill Cornell Medical College, New York, New York (D.D.C., L.M.D.)
| | - Youming Xu
- Department of Neurology, Memorial Sloan Kettering Cancer Center, New York, New York (D.D.C., M.K.-L., L.M.D.); Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, New York (J.S., K.C., A.K.A., Y.X., I.O.); Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, New York (S.K., J.L.); Department of Neurology and Neuroscience, Weill Cornell Medical College, New York, New York (D.D.C., L.M.D.)
| | - Sasan Karimi
- Department of Neurology, Memorial Sloan Kettering Cancer Center, New York, New York (D.D.C., M.K.-L., L.M.D.); Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, New York (J.S., K.C., A.K.A., Y.X., I.O.); Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, New York (S.K., J.L.); Department of Neurology and Neuroscience, Weill Cornell Medical College, New York, New York (D.D.C., L.M.D.)
| | - John Lyo
- Department of Neurology, Memorial Sloan Kettering Cancer Center, New York, New York (D.D.C., M.K.-L., L.M.D.); Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, New York (J.S., K.C., A.K.A., Y.X., I.O.); Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, New York (S.K., J.L.); Department of Neurology and Neuroscience, Weill Cornell Medical College, New York, New York (D.D.C., L.M.D.)
| | - Lisa M DeAngelis
- Department of Neurology, Memorial Sloan Kettering Cancer Center, New York, New York (D.D.C., M.K.-L., L.M.D.); Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, New York (J.S., K.C., A.K.A., Y.X., I.O.); Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, New York (S.K., J.L.); Department of Neurology and Neuroscience, Weill Cornell Medical College, New York, New York (D.D.C., L.M.D.)
| | - Irene Orlow
- Department of Neurology, Memorial Sloan Kettering Cancer Center, New York, New York (D.D.C., M.K.-L., L.M.D.); Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, New York (J.S., K.C., A.K.A., Y.X., I.O.); Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, New York (S.K., J.L.); Department of Neurology and Neuroscience, Weill Cornell Medical College, New York, New York (D.D.C., L.M.D.)
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Kynurenine pathway and cognitive impairments in schizophrenia: Pharmacogenetics of galantamine and memantine. SCHIZOPHRENIA RESEARCH-COGNITION 2016; 4:4-9. [PMID: 27069875 PMCID: PMC4824953 DOI: 10.1016/j.scog.2016.02.001] [Citation(s) in RCA: 25] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
Abstract
The Measurement and Treatment Research to Improve Cognition in Schizophrenia (MATRICS) project designed to facilitate the development of new drugs for the treatment of cognitive impairments in people with schizophrenia, identified three drug mechanisms of particular interest: dopaminergic, cholinergic, and glutamatergic. Galantamine is an acetylcholinesterase inhibitor and a positive allosteric modulator of the α7 nicotinic receptors. Memantine is an N-methyl-D-aspartate (NMDA) receptor antagonist. There is evidence to suggest that the combination of galantamine and memantine may be effective in the treatment of cognitive impairments in schizophrenia. There is a growing body of evidence that excess kynurenic acid (KYNA) is associated with cognitive impairments in schizophrenia. The α-7 nicotinic and the NMDA receptors may counteract the effects of kynurenic acid (KYNA) resulting in cognitive enhancement. Galantamine and memantine through its α-7 nicotinic and NMDA receptors respectively may counteract the effects of KYNA thereby improving cognitive impairments. The Single Nucleotide Polymorphisms in the Cholinergic Receptor, Nicotinic, Alpha 7 gene (CHRNA7), Glutamate (NMDA) Receptor, Metabotropic 1 (GRM1) gene, Dystrobrevin Binding Protein 1 (DTNBP1) and kynurenine 3-monooxygenase (KMO) gene may predict treatment response to galantamine and memantine combination for cognitive impairments in schizophrenia in the kynurenine pathway.
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12
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Kos MZ, Carless MA, Peralta J, Blackburn A, Almeida M, Roalf D, Pogue-Geile MF, Prasad K, Gur RC, Nimgaonkar V, Curran JE, Duggirala R, Glahn DC, Blangero J, Gur RE, Almasy L. Exome Sequence Data From Multigenerational Families Implicate AMPA Receptor Trafficking in Neurocognitive Impairment and Schizophrenia Risk. Schizophr Bull 2016; 42:288-300. [PMID: 26405221 PMCID: PMC4753604 DOI: 10.1093/schbul/sbv135] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
Abstract
Schizophrenia is a mental disorder characterized by impairments in behavior, thought, and neurocognitive performance. We searched for susceptibility loci at a quantitative trait locus (QTL) previously reported for abstraction and mental flexibility (ABF), a cognitive function often compromised in schizophrenia patients and their unaffected relatives. Exome sequences were determined for 134 samples in 8 European American families from the original linkage study, including 25 individuals with schizophrenia or schizoaffective disorder. At chromosome 5q32-35.3, we analyzed 407 protein-altering variants for association with ABF and schizophrenia status. For replication, significant, Bonferroni-corrected findings were tested against cognitive traits in Mexican American families (n = 959), as well as interrogated for schizophrenia risk using GWAS results from the Psychiatric Genomics Consortium (PGC). From the gene SYNPO, rs6579797 (MAF = 0.032) shows significant associations with ABF (P = .015) and schizophrenia (P = .040), as well as jointly (P = .0027). In the Mexican American pedigrees, rs6579797 exhibits significant associations with IQ (P = .011), indicating more global effects on neurocognition. From the PGC results, other SYNPO variants were identified with near significant effects on schizophrenia risk, with a local linkage disequilibrium block displaying signatures of positive selection. A second missense variant within the QTL, rs17551608 (MAF = 0.19) in the gene WWC1, also displays a significant effect on schizophrenia in our exome sequences (P = .038). Remarkably, the protein products of SYNPO and WWC1 are interaction partners involved in AMPA receptor trafficking, a brain process implicated in synaptic plasticity. Our study reveals variants in these genes with significant effects on neurocognition and schizophrenia risk, identifying a potential pathogenic mechanism for schizophrenia spectrum disorders.
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Affiliation(s)
- Mark Z. Kos
- South Texas Diabetes and Obesity Institute, School of Medicine, The University of Texas Rio Grande Valley, San Antonio, TX;,*To whom correspondence should be addressed; South Texas Diabetes and Obesity Institute, School of Medicine, The University of Texas Rio Grande Valley, San Antonio, TX 78229, US; tel: 210-585-9772, fax: 210-582-5836, e-mail:
| | - Melanie A. Carless
- Department of Genetics, Texas Biomedical Research Institute, San Antonio, TX
| | - Juan Peralta
- South Texas Diabetes and Obesity Institute, School of Medicine, The University of Texas Rio Grande Valley, San Antonio, TX
| | - August Blackburn
- Department of Genetics, Texas Biomedical Research Institute, San Antonio, TX
| | - Marcio Almeida
- South Texas Diabetes and Obesity Institute, School of Medicine, The University of Texas Rio Grande Valley, San Antonio, TX
| | - David Roalf
- Department of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA
| | | | - Konasale Prasad
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA
| | - Ruben C. Gur
- Department of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA
| | | | - Joanne E. Curran
- South Texas Diabetes and Obesity Institute, School of Medicine, The University of Texas Rio Grande Valley, San Antonio, TX
| | - Ravi Duggirala
- South Texas Diabetes and Obesity Institute, School of Medicine, The University of Texas Rio Grande Valley, San Antonio, TX
| | - David C. Glahn
- Department of Psychiatry, Olin Neuropsychiatric Research Center, Yale School of Medicine, Hartford, CT
| | - John Blangero
- South Texas Diabetes and Obesity Institute, School of Medicine, The University of Texas Rio Grande Valley, San Antonio, TX
| | - Raquel E. Gur
- Department of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA
| | - Laura Almasy
- South Texas Diabetes and Obesity Institute, School of Medicine, The University of Texas Rio Grande Valley, San Antonio, TX
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13
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Kuratomi G, Saito A, Ozeki Y, Watanabe T, Fujii K, Shimoda K, Inukai T, Mori H, Ohmori K, Akiyama K. Association of the Hermansky-Pudlak syndrome type 4 (HPS4) gene variants with cognitive function in patients with schizophrenia and healthy subjects. BMC Psychiatry 2013; 13:276. [PMID: 24168225 PMCID: PMC3819706 DOI: 10.1186/1471-244x-13-276] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/27/2013] [Accepted: 10/25/2013] [Indexed: 12/04/2022] Open
Abstract
BACKGROUND The Hermansky-Pudlak Syndrome Type 4 (HPS4) gene, which encodes a subunit protein of the biogenesis of lysosome-related organelles complex (BLOC)-3, which is involved in late endosomal trafficking, is associated with schizophrenia; however, its clinical relevance in schizophrenia remains unknown. The purpose of the present study was to investigate whether HPS4 is associated with cognitive functions in patients with schizophrenia and healthy controls and with the clinical profiles of patients with schizophrenia. METHODS We investigated the association of variants of HPS4 with clinical symptoms and cognitive function in Japanese patients with schizophrenia (n = 240) and age-matched healthy control subjects (n = 240) with single nucleotide polymorphisms (SNP)- or haplotype-based linear regression. We analyzed five tagging SNPs (rs4822724, rs61276843, rs9608491, rs713998, and rs2014410) of HPS4 and 2-5 locus haplotypes of these five SNPs. The cognitive functions of patients and healthy subjects were evaluated with the Brief Assessment of Cognition in Schizophrenia, Japanese-language version, and the patients were assessed for their symptomatology with the Positive and Negative Symptom Scale (PANSS). RESULTS In patients with schizophrenia, rs713998 was significantly associated with executive function under the dominant genetic model (P = 0.0073). In healthy subjects, there was a significant association between working memory and two individual SNPs under the recessive model (rs9608491: P = 0.001; rs713998: P = 0.0065) and two haplotypes (rs9608491-713998: P = 0.0025; rs61276843-9608491-713998: P = 0.0064). No significant association was found between HPS4 SNPs and PANSS scores or premorbid IQ, as measured by the Japanese version of the National Adult Reading Test. CONCLUSIONS These findings suggested the involvement of HPS4 in the working memory of healthy subjects and in the executive function deficits in schizophrenia.
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Affiliation(s)
- Go Kuratomi
- Department of Biological Psychiatry and Neuroscience, Dokkyo Medical University School of Medicine, 880 Kitakobayashi, Mibu, Tochigi 3210293, Japan
| | - Atsushi Saito
- Department of Biological Psychiatry and Neuroscience, Dokkyo Medical University School of Medicine, 880 Kitakobayashi, Mibu, Tochigi 3210293, Japan
| | - Yuji Ozeki
- Department of Psychiatry, Dokkyo Medical University School of Medicine, 880 Kitakobayashi, Mibu, Tochigi 3210293, Japan
| | - Takashi Watanabe
- Department of Psychiatry, Dokkyo Medical University School of Medicine, 880 Kitakobayashi, Mibu, Tochigi 3210293, Japan
| | - Kumiko Fujii
- Department of Psychiatry, Dokkyo Medical University School of Medicine, 880 Kitakobayashi, Mibu, Tochigi 3210293, Japan
| | - Kazutaka Shimoda
- Department of Psychiatry, Dokkyo Medical University School of Medicine, 880 Kitakobayashi, Mibu, Tochigi 3210293, Japan
| | - Toshihiko Inukai
- Department of Internal Medicine (Endocrinology, Metabolism, and Hematology), Dokkyo Medical University Koshigaya Hospital, 2-1-50 Minamikoshigaya, Koshigaya, Saitama 3438555, Japan
| | - Harunobu Mori
- Mori Hospital, 419 Iidamachi, Utsunomiya, Tochigi 3210347, Japan
| | - Kenichi Ohmori
- Takizawa Hospital, 2-29 Hanabusahoncho Utsunomiya, Tochigi 3200828, Japan
| | - Kazufumi Akiyama
- Department of Biological Psychiatry and Neuroscience, Dokkyo Medical University School of Medicine, 880 Kitakobayashi, Mibu, Tochigi 3210293, Japan.
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