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Wawrzczak-Bargieła A, Bilecki W, Maćkowiak M. Epigenetic Targets in Schizophrenia Development and Therapy. Brain Sci 2023; 13:brainsci13030426. [PMID: 36979236 PMCID: PMC10046502 DOI: 10.3390/brainsci13030426] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/27/2023] [Revised: 02/24/2023] [Accepted: 02/26/2023] [Indexed: 03/06/2023] Open
Abstract
Schizophrenia is regarded as a neurodevelopmental disorder with its course progressing throughout life. However, the aetiology and development of schizophrenia are still under investigation. Several data suggest that the dysfunction of epigenetic mechanisms is known to be involved in the pathomechanism of this mental disorder. The present article revised the epigenetic background of schizophrenia based on the data available in online databases (PubMed, Scopus). This paper focused on the role of epigenetic regulation, such as DNA methylation, histone modifications, and interference of non-coding RNAs, in schizophrenia development. The article also reviewed the available data related to epigenetic regulation that may modify the severity of the disease as a possible target for schizophrenia pharmacotherapy. Moreover, the effects of antipsychotics on epigenetic malfunction in schizophrenia are discussed based on preclinical and clinical results. The obtainable data suggest alterations of epigenetic regulation in schizophrenia. Moreover, they also showed the important role of epigenetic modifications in antipsychotic action. There is a need for more data to establish the role of epigenetic mechanisms in schizophrenia therapy. It would be of special interest to find and develop new targets for schizophrenia therapy because patients with schizophrenia could show little or no response to current pharmacotherapy and have treatment-resistant schizophrenia.
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Micale V, Di Bartolomeo M, Di Martino S, Stark T, Dell'Osso B, Drago F, D'Addario C. Are the epigenetic changes predictive of therapeutic efficacy for psychiatric disorders? A translational approach towards novel drug targets. Pharmacol Ther 2023; 241:108279. [PMID: 36103902 DOI: 10.1016/j.pharmthera.2022.108279] [Citation(s) in RCA: 12] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/05/2022] [Revised: 09/01/2022] [Accepted: 09/01/2022] [Indexed: 02/06/2023]
Abstract
The etiopathogenesis of mental disorders is not fully understood and accumulating evidence support that clinical symptomatology cannot be assigned to a single gene mutation, but it involves several genetic factors. More specifically, a tight association between genes and environmental risk factors, which could be mediated by epigenetic mechanisms, may play a role in the development of mental disorders. Several data suggest that epigenetic modifications such as DNA methylation, post-translational histone modification and interference of microRNA (miRNA) or long non-coding RNA (lncRNA) may modify the severity of the disease and the outcome of the therapy. Indeed, the study of these mechanisms may help to identify patients particularly vulnerable to mental disorders and may have potential utility as biomarkers to facilitate diagnosis and treatment of psychiatric disorders. This article summarizes the most relevant preclinical and human data showing how epigenetic modifications can be central to the therapeutic efficacy of antidepressant and/or antipsychotic agents, as possible predictor of drugs response.
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Affiliation(s)
- Vincenzo Micale
- Department of Biomedical and Biotechnological Sciences, Section of Pharmacology, University of Catania, Catania, Italy.
| | - Martina Di Bartolomeo
- Faculty of Bioscience and Technology for Food, Agriculture and Environment, University of Teramo, Teramo, Italy
| | - Serena Di Martino
- Department of Biomedical and Biotechnological Sciences, Section of Pharmacology, University of Catania, Catania, Italy
| | - Tibor Stark
- Department of Pharmacology, Faculty of Medicine, Masaryk University, Brno, Czech Republic; Scientific Core Unit Neuroimaging, Max Planck Institute of Psychiatry, Munich, Germany
| | - Bernardo Dell'Osso
- Department of Biomedical and Clinical Sciences 'Luigi Sacco', University of Milan, Milan, Italy, Department of Mental Health, ASST Fatebenefratelli-Sacco, Milan, Italy; "Aldo Ravelli" Research Center for Neurotechnology and Experimental Brain Therapeutics, Department of Health Sciences, University of Milan Medical School, Milan, Italy; Department of Psychiatry and Behavioral Sciences, Stanford University, CA, USA
| | - Filippo Drago
- Department of Biomedical and Biotechnological Sciences, Section of Pharmacology, University of Catania, Catania, Italy.
| | - Claudio D'Addario
- Faculty of Bioscience and Technology for Food, Agriculture and Environment, University of Teramo, Teramo, Italy; Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
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3
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Guan X, Xu J, Xiu M, Li X, Liu H, Wu F. Kynurenine pathway metabolites and therapeutic response to olanzapine in female patients with schizophrenia: A longitudinal study. CNS Neurosci Ther 2022; 28:1539-1546. [PMID: 35769008 PMCID: PMC9437236 DOI: 10.1111/cns.13895] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2021] [Revised: 04/24/2022] [Accepted: 06/04/2022] [Indexed: 11/29/2022] Open
Abstract
AIM A metabolomics approach has recently been used to identify metabolites associated with response to antipsychotic treatment. This study was designed to identify the predictive biomarkers of response to olanzapine monotherapy using a metabolomics-based strategy. METHODS Twenty-five first-episode and drug-naïve female patients with schizophrenia were recruited and treated with olanzapine for 4 weeks. Psychiatric symptoms were assessed using the Positive and Negative Syndrome Scale (PANSS) at baseline and 4-week follow-up. RESULTS Positive subscore, general psychopathology subscore, and PANSS total score were significantly decreased after treatment. An ultra-performance liquid chromatography-mass spectrometry (UPLC-MS)-based metabolomics approach identified 72 differential metabolites after treatment. In addition, the baseline levels of methyl n-formylanthranilate (MNFT) were correlated with the rate of reduction in the positive subscore or PANSS total score. However, increase in MNFT after treatment was not associated with the rate of reduction in the PANSS total score or its subscores. Subsequent regression analysis revealed that the baseline MNFT levels predicted the treatment outcomes after olanzapine monotherapy for 4 weeks in patients with schizophrenia. CONCLUSIONS Our study results suggest that the baseline MNFT levels in the kynurenine pathway of tryptophan metabolism may be predictive of the treatment response to olanzapine in schizophrenia.
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Affiliation(s)
- Xiaoni Guan
- Peking University HuiLongGuan Clinical Medical School, Beijing HuiLongGuan Hospital, Beijing, China
| | - Jing Xu
- Qingdao Mental Health Center, Qingdao Medical University, Qingdao, China
| | - Meihong Xiu
- Peking University HuiLongGuan Clinical Medical School, Beijing HuiLongGuan Hospital, Beijing, China
| | - Xirong Li
- Department of Psychiatry, Shandong Mental Health Center, Shandong University, Jinan, China
| | - Haixia Liu
- Department of Psychiatry, Shandong Mental Health Center, Shandong University, Jinan, China
| | - Fengchun Wu
- Department of Psychiatry, The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, China.,Guangdong Engineering Technology Research Center for Translational Medicine of Mental Disorders, Guangzhou, China
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Bellon A, Feuillet V, Cortez-Resendiz A, Mouaffak F, Kong L, Hong LE, De Godoy L, Jay TM, Hosmalin A, Krebs MO. Dopamine-induced pruning in monocyte-derived-neuronal-like cells (MDNCs) from patients with schizophrenia. Mol Psychiatry 2022; 27:2787-2802. [PMID: 35365810 PMCID: PMC9156413 DOI: 10.1038/s41380-022-01514-w] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/12/2021] [Revised: 02/05/2022] [Accepted: 02/25/2022] [Indexed: 01/10/2023]
Abstract
The long lapse between the presumptive origin of schizophrenia (SCZ) during early development and its diagnosis in late adolescence has hindered the study of crucial neurodevelopmental processes directly in living patients. Dopamine, a neurotransmitter consistently associated with the pathophysiology of SCZ, participates in several aspects of brain development including pruning of neuronal extensions. Excessive pruning is considered the cause of the most consistent finding in SCZ, namely decreased brain volume. It is therefore possible that patients with SCZ carry an increased susceptibility to dopamine's pruning effects and that this susceptibility would be more obvious in the early stages of neuronal development when dopamine pruning effects appear to be more prominent. Obtaining developing neurons from living patients is not feasible. Instead, we used Monocyte-Derived-Neuronal-like Cells (MDNCs) as these cells can be generated in only 20 days and deliver reproducible results. In this study, we expanded the number of individuals in whom we tested the reproducibility of MDNCs. We also deepened the characterization of MDNCs by comparing its neurostructure to that of human developing neurons. Moreover, we studied MDNCs from 12 controls and 13 patients with SCZ. Patients' cells differentiate more efficiently, extend longer secondary neurites and grow more primary neurites. In addition, MDNCs from medicated patients expresses less D1R and prune more primary neurites when exposed to dopamine. Haloperidol did not influence our results but the role of other antipsychotics was not examined and thus, needs to be considered as a confounder.
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Affiliation(s)
- Alfredo Bellon
- Department of Psychiatry and Behavioral Health, Penn State Hershey Medical Center, Hershey, PA, USA.
- Department of Pharmacology, Penn State Hershey Medical Center, Hershey, PA, USA.
| | - Vincent Feuillet
- Aix-Marseille University, CNRS, INSERM, Centre d'Immunologie de Marseille-Luminy, Marseille, France
- Université de Paris, Institut Cochin, CNRS, INSERM, F-75014, Paris, France
| | - Alonso Cortez-Resendiz
- Department of Psychiatry and Behavioral Health, Penn State Hershey Medical Center, Hershey, PA, USA
| | - Faycal Mouaffak
- Institute of Psychiatry and Neuroscience of Paris (IPNP), INSERM U1266, Pathophysiology of Psychiatric Disorders, Université de Paris, Paris, France
- Pôle de Psychiatrie d'Adultes 93G04, EPS Ville Evrard, Saint Denis, France
| | - Lan Kong
- Department of Public Health Sciences, Penn State Hershey Medical Center, Hershey, PA, USA
| | - L Elliot Hong
- Department of Psychiatry, Maryland Psychiatric Research Center, University of Maryland School of Medicine, Baltimore, MD, USA
| | | | - Therese M Jay
- Institute of Psychiatry and Neuroscience of Paris (IPNP), INSERM U1266, Pathophysiology of Psychiatric Disorders, Université de Paris, Paris, France
| | - Anne Hosmalin
- Université de Paris, Institut Cochin, CNRS, INSERM, F-75014, Paris, France
| | - Marie-Odile Krebs
- Institute of Psychiatry and Neuroscience of Paris (IPNP), INSERM U1266, Pathophysiology of Psychiatric Disorders, Université de Paris, Paris, France
- Groupe-Hospitalo-Universitaire de Paris, Psychiatrie et Neuroscience, Pôle PEPIT, University of Paris, Paris, France
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5
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Lisoway AJ, Chen CC, Zai CC, Tiwari AK, Kennedy JL. Toward personalized medicine in schizophrenia: Genetics and epigenetics of antipsychotic treatment. Schizophr Res 2021; 232:112-124. [PMID: 34049235 DOI: 10.1016/j.schres.2021.05.010] [Citation(s) in RCA: 19] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/17/2020] [Revised: 04/30/2021] [Accepted: 05/02/2021] [Indexed: 12/21/2022]
Abstract
Schizophrenia is a complex psychiatric disorder where genetic, epigenetic, and environmental factors play a role in disease onset, course of illness, and treatment outcome. Pharmaco(epi)genetic research presents an important opportunity to improve patient care through prediction of medication side effects and response. In this narrative review, we discuss the current state of research and important progress of both genetic and epigenetic factors involved in antipsychotic response, over the past five years. The review is largely focused on the following frequently prescribed antipsychotics: olanzapine, risperidone, aripiprazole, and clozapine. Several consistent pharmacogenetic findings have emerged, in particular pharmacokinetic genes (primarily cytochrome P450 enzymes) and pharmacodynamic genes involving dopamine, serotonin, and glutamate neurotransmission. In addition to studies analysing DNA sequence variants, there are also several pharmacoepigenetic studies of antipsychotic response that have focused on the measurement of DNA methylation. Although pharmacoepigenetics is still in its infancy, consideration of both genetic and epigenetic factors contributing to antipsychotic response and side effects no doubt will be increasingly important in personalized medicine. We provide recommendations for next steps in research and clinical evaluation.
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Affiliation(s)
- Amanda J Lisoway
- Molecular Brain Science Department, Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, ON, Canada; Institute of Medical Science, University of Toronto, Canada
| | - Cheng C Chen
- Molecular Brain Science Department, Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, ON, Canada; Institute of Medical Science, University of Toronto, Canada
| | - Clement C Zai
- Molecular Brain Science Department, Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, ON, Canada; Institute of Medical Science, University of Toronto, Canada; Department of Laboratory Medicine and Pathobiology, University of Toronto, Canada; Department of Psychiatry, University of Toronto, Canada
| | - Arun K Tiwari
- Molecular Brain Science Department, Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, ON, Canada; Department of Psychiatry, University of Toronto, Canada
| | - James L Kennedy
- Molecular Brain Science Department, Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, ON, Canada; Institute of Medical Science, University of Toronto, Canada; Department of Psychiatry, University of Toronto, Canada.
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Zhou J, Li M, Wang X, He Y, Xia Y, Sweeney JA, Kopp RF, Liu C, Chen C. Drug Response-Related DNA Methylation Changes in Schizophrenia, Bipolar Disorder, and Major Depressive Disorder. Front Neurosci 2021; 15:674273. [PMID: 34054421 PMCID: PMC8155631 DOI: 10.3389/fnins.2021.674273] [Citation(s) in RCA: 22] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2021] [Accepted: 04/14/2021] [Indexed: 12/12/2022] Open
Abstract
Pharmacotherapy is the most common treatment for schizophrenia (SCZ), bipolar disorder (BD), and major depressive disorder (MDD). Pharmacogenetic studies have achieved results with limited clinical utility. DNA methylation (DNAm), an epigenetic modification, has been proposed to be involved in both the pathology and drug treatment of these disorders. Emerging data indicates that DNAm could be used as a predictor of drug response for psychiatric disorders. In this study, we performed a systematic review to evaluate the reproducibility of published changes of drug response-related DNAm in SCZ, BD and MDD. A total of 37 publications were included. Since the studies involved patients of different treatment stages, we partitioned them into three groups based on their primary focuses: (1) medication-induced DNAm changes (n = 8); (2) the relationship between DNAm and clinical improvement (n = 24); and (3) comparison of DNAm status across different medications (n = 14). We found that only BDNF was consistent with the DNAm changes detected in four independent studies for MDD. It was positively correlated with clinical improvement in MDD. To develop better predictive DNAm factors for drug response, we also discussed future research strategies, including experimental, analytical procedures and statistical criteria. Our review shows promising possibilities for using BDNF DNAm as a predictor of antidepressant treatment response for MDD, while more pharmacoepigenetic studies are needed for treatments of various diseases. Future research should take advantage of a system-wide analysis with a strict and standard analytical procedure.
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Affiliation(s)
- Jiaqi Zhou
- Center for Medical Genetics & Hunan Key Laboratory of Medical Genetics, School of Life Sciences, Department of Psychiatry, The Second Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Miao Li
- Center for Medical Genetics & Hunan Key Laboratory of Medical Genetics, School of Life Sciences, Department of Psychiatry, The Second Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Xueying Wang
- Center for Medical Genetics & Hunan Key Laboratory of Medical Genetics, School of Life Sciences, Department of Psychiatry, The Second Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Yuwen He
- Center for Medical Genetics & Hunan Key Laboratory of Medical Genetics, School of Life Sciences, Department of Psychiatry, The Second Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Yan Xia
- Center for Medical Genetics & Hunan Key Laboratory of Medical Genetics, School of Life Sciences, Department of Psychiatry, The Second Xiangya Hospital, Central South University, Changsha, Hunan, China
- Department of Psychiatry, State University of New York Upstate Medical University, Syracuse, NY, United States
| | - John A. Sweeney
- Department of Psychiatry, University of Cincinnati, Cincinnati, OH, United States
| | - Richard F. Kopp
- Department of Psychiatry, State University of New York Upstate Medical University, Syracuse, NY, United States
| | - Chunyu Liu
- Center for Medical Genetics & Hunan Key Laboratory of Medical Genetics, School of Life Sciences, Department of Psychiatry, The Second Xiangya Hospital, Central South University, Changsha, Hunan, China
- Department of Psychiatry, State University of New York Upstate Medical University, Syracuse, NY, United States
| | - Chao Chen
- Center for Medical Genetics & Hunan Key Laboratory of Medical Genetics, School of Life Sciences, Department of Psychiatry, The Second Xiangya Hospital, Central South University, Changsha, Hunan, China
- Hunan Key Laboratory of Animal Models for Human Diseases, Central South University, Changsha, Hunan, China
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Huang X, Bao C, Lv Q, Zhao J, Hu G, Wu H, Li Z, Yi Z. MicroRNA-195 predicts olanzapine response in drug-free patients with schizophrenia: A prospective cohort study. J Psychopharmacol 2021; 35:23-30. [PMID: 33274684 DOI: 10.1177/0269881120959617] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
BACKGROUND Disturbances of microRNA-195 have been implicated in the pathogenesis of schizophrenia. However, microRNA-195 levels in schizophrenia are controversial. AIMS To the best of our knowledge, this is the first study to examine microRNA-195 levels in untreated schizophrenia patients and their relationship to olanzapine response. METHODS We recruited 81 untreated schizophrenia patients and 96 healthy controls. The patients received 2 months olanzapine treatment. MicroRNA-195 levels in peripheral blood mononuclear cells were measured using quantitative real-time polymerase chain reaction testing. Psychiatric symptoms were assessed using the Positive and Negative Syndrome Scale. RESULTS No significant differences in microRNA-195 levels were found between patients and healthy controls (p > 0.05). Olanzapine significantly reduced microRNA-195 levels after 2 months treatment (p = 0.003). Interestingly, microRNA-195 levels decreased significantly in responders (p = 0.010), but not in non-responders (p > 0.05). Both baseline microRNA-195 levels (p = 0.027, p = 0.030) and the reduction rate of microRNA-195 levels (p = 0.034, p = 0.044) were positively associated with the reduction rate of Positive and Negative Syndrome Scale total score and general psychopathological subscale score. Multiple stepwise regression analysis revealed that baseline microRNA-195 level was an independent contributor to the reduction in Positive and Negative Syndrome Scale total score and the general psychopathological subscale score (p = 0.018, p = 0.030). Finally, logistic regression analysis suggested that baseline microRNA-195 level can serve as a biomarker for response to olanzapine (p = 0.037). CONCLUSIONS Our data indicate that microRNA-195 level may predict symptomatic improvement and olanzapine response in schizophrenia patients, suggesting that microRNA-195 should be considered as a potential therapeutic target for antipsychotics.
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Affiliation(s)
- Xinxin Huang
- Department of Psychiatry, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Chenxi Bao
- Department of Psychiatry, Affiliated Nanjing Brain Hospital, Nanjing Medical University, Nanjing, China
| | - Qinyu Lv
- Department of Psychiatry, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Jing Zhao
- Department of Psychiatry, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Guoqin Hu
- Department of Psychiatry, Huangpu District Mental Health Center, Shanghai, China
| | - Haisu Wu
- Department of Psychiatry, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Zezhi Li
- Department of Neurology, Ren Ji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Zhenghui Yi
- Department of Psychiatry, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
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Fedorenko OY, Paderina DZ, Loonen AJM, Pozhidaev IV, Boiko AS, Kornetova EG, Bokhan NA, Wilffert B, Ivanova SA. Association of ANKK1 polymorphism with antipsychotic-induced hyperprolactinemia. Hum Psychopharmacol 2020; 35:e2737. [PMID: 32383805 PMCID: PMC7507142 DOI: 10.1002/hup.2737] [Citation(s) in RCA: 3] [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: 03/27/2019] [Revised: 04/07/2020] [Accepted: 04/08/2020] [Indexed: 12/19/2022]
Abstract
OBJECTIVE Schizophrenia is a severe highly heritable mental disorder. Genetic polymorphisms of dopaminergic pathways are related to pathogenesis of drug response. Hyperprolactinemia (HPRL), a common adverse effect of antipsychotics, is attributed to blockade of dopamine D2 receptors. Ankyrin Repeat and Kinase Domain containing 1 (ANKK1) gene is closely related to Dopamine Receptor D2 type (DRD2) gene functioning. We examined whether the functional polymorphism rs2734849 in the ANKK1 gene is associated with antipsychotic-induced HPRL. METHODS We recruited 446 patients with schizophrenia from among the Russian population of the Siberian region. The polymorphism rs2734849 in the ANKK1 gene was genotyped with The MassARRAY® Analyzer 4 by Agena Bioscience™, using the kit SEQUENOM Consumables iPLEXGold 384. Genotype and allele frequencies were compared between groups of schizophrenia patients with and without HPRL using the χ2 test. RESULTS A comparison between schizophrenia patients with and without HPRL revealed significantly higher frequency of the C allele of the polymorphic variant rs2734849 in the ANKK1 gene in patients with HPRL as compared to the patients without it (χ2 = 3.70; p = .05; odds ratio [OR] = 1.30 [0.99-1.69]). CONCLUSION The functional polymorphism rs2734849 in the ANKK1 gene was associated with HPRL in patients with schizophrenia.
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Affiliation(s)
- Olga Yu. Fedorenko
- Mental Health Research InstituteTomsk National Research Medical Center of Russian Academy of SciencesTomskRussia,Division for Control and Diagnostics, School of Non‐Destructive Testing and SecurityNational Research Tomsk Polytechnic UniversityTomskRussia
| | - Diana Z. Paderina
- Mental Health Research InstituteTomsk National Research Medical Center of Russian Academy of SciencesTomskRussia,Department of Cytology and Genetics, National Research Tomsk State UniversityTomskRussia
| | - Anton J. M. Loonen
- PharmacoTherapy, ‐Epidemiology and ‐Economics, Groningen Research Institute of PharmacyUniversity of GroningenGroningenThe Netherlands,Policy Office for Quality and Innovation of Care (BZI), GGZ Westelijk Noord‐BrabantHalsterenThe Netherlands
| | - Ivan V. Pozhidaev
- Mental Health Research InstituteTomsk National Research Medical Center of Russian Academy of SciencesTomskRussia,Department of Cytology and Genetics, National Research Tomsk State UniversityTomskRussia
| | - Anastasiia S. Boiko
- Mental Health Research InstituteTomsk National Research Medical Center of Russian Academy of SciencesTomskRussia
| | - Elena G. Kornetova
- Mental Health Research InstituteTomsk National Research Medical Center of Russian Academy of SciencesTomskRussia,Hospital, Siberian State Medical UniversityTomskRussia
| | - Nikolay A. Bokhan
- Mental Health Research InstituteTomsk National Research Medical Center of Russian Academy of SciencesTomskRussia,Department of Psychotherapy and Psychological Counseling, National Research Tomsk State UniversityTomskRussia,Department of Psychiatry, Addictology and Psychotherapy, Siberian State Medical UniversityTomskRussia
| | - Bob Wilffert
- PharmacoTherapy, ‐Epidemiology and ‐Economics, Groningen Research Institute of PharmacyUniversity of GroningenGroningenThe Netherlands,Clinical Pharmacy and Pharmacology, University Medical Center Groningen, University of GroningenGroningenThe Netherlands
| | - Svetlana A. Ivanova
- Mental Health Research InstituteTomsk National Research Medical Center of Russian Academy of SciencesTomskRussia,Division for Control and Diagnostics, School of Non‐Destructive Testing and SecurityNational Research Tomsk Polytechnic UniversityTomskRussia,Department of Psychiatry, Addictology and Psychotherapy, Siberian State Medical UniversityTomskRussia
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9
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Marques DF, Ota VK, Santoro ML, Talarico F, Costa GO, Spindola LM, Cogo-Moreira H, Carvalho CM, Xavier G, Cavalcante DA, Gadelha A, Noto C, Cordeiro Q, Bressan RA, Moretti PN, Belangero SI. LINE-1 hypomethylation is associated with poor risperidone response in a first episode of psychosis cohort. Epigenomics 2020; 12:1041-1051. [DOI: 10.2217/epi-2019-0350] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/27/2022] Open
Abstract
Aim: We investigated the DNA methylation profile over LINE-1 in antipsychotic-naive, first-episode psychosis-patients (n = 69) before and after 2 months of risperidone treatment and in healthy controls (n = 62). Materials & methods: Patients were evaluated using standardized scales and classified as responders and nonresponders. DNA from blood was bisulfite converted and LINE-1 fragments were amplified and pyrosequencing was performed. Results: Lower LINE-1 methylation was observed in antipsychotic-naive first-episode psychosis patients than in healthy controls. Lower DNA methylation levels before treatment were associated with poor risperidone responses. A positive correlation was observed between LINE-1 methylation levels and positive symptoms response. Conclusion: Our study brings new insight regarding how epigenomic studies and clinical correlation studies can supplement psychosis treatment.
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Affiliation(s)
- Diogo Ferri Marques
- Department of Psychiatry, Universidade Federal de São Paulo (UNIFESP), São Paulo, Brazil
- Laboratory of Integrative Neuroscience (LiNC), Universidade Federal de São Paulo (UNIFESP), São Paulo, Brazil
- Genetics Division, Department of Morphology and Genetics, Universidade Federal de São Paulo (UNIFESP), São Paulo, Brazil
| | - Vanessa Kiyomi Ota
- Laboratory of Integrative Neuroscience (LiNC), Universidade Federal de São Paulo (UNIFESP), São Paulo, Brazil
- Genetics Division, Department of Morphology and Genetics, Universidade Federal de São Paulo (UNIFESP), São Paulo, Brazil
| | - Marcos Leite Santoro
- Department of Psychiatry, Universidade Federal de São Paulo (UNIFESP), São Paulo, Brazil
- Laboratory of Integrative Neuroscience (LiNC), Universidade Federal de São Paulo (UNIFESP), São Paulo, Brazil
- Genetics Division, Department of Morphology and Genetics, Universidade Federal de São Paulo (UNIFESP), São Paulo, Brazil
| | - Fernanda Talarico
- Laboratory of Integrative Neuroscience (LiNC), Universidade Federal de São Paulo (UNIFESP), São Paulo, Brazil
- Genetics Division, Department of Morphology and Genetics, Universidade Federal de São Paulo (UNIFESP), São Paulo, Brazil
| | - Giovany Oliveira Costa
- Laboratory of Integrative Neuroscience (LiNC), Universidade Federal de São Paulo (UNIFESP), São Paulo, Brazil
- Genetics Division, Department of Morphology and Genetics, Universidade Federal de São Paulo (UNIFESP), São Paulo, Brazil
| | - Leticia Maria Spindola
- Department of Psychiatry, Universidade Federal de São Paulo (UNIFESP), São Paulo, Brazil
- Laboratory of Integrative Neuroscience (LiNC), Universidade Federal de São Paulo (UNIFESP), São Paulo, Brazil
| | - Hugo Cogo-Moreira
- Laboratory of Integrative Neuroscience (LiNC), Universidade Federal de São Paulo (UNIFESP), São Paulo, Brazil
| | - Carolina Muniz Carvalho
- Department of Psychiatry, Universidade Federal de São Paulo (UNIFESP), São Paulo, Brazil
- Laboratory of Integrative Neuroscience (LiNC), Universidade Federal de São Paulo (UNIFESP), São Paulo, Brazil
- Genetics Division, Department of Morphology and Genetics, Universidade Federal de São Paulo (UNIFESP), São Paulo, Brazil
| | - Gabriela Xavier
- Laboratory of Integrative Neuroscience (LiNC), Universidade Federal de São Paulo (UNIFESP), São Paulo, Brazil
- Genetics Division, Department of Morphology and Genetics, Universidade Federal de São Paulo (UNIFESP), São Paulo, Brazil
| | - Daniel Azevedo Cavalcante
- Department of Psychiatry, Universidade Federal de São Paulo (UNIFESP), São Paulo, Brazil
- Laboratory of Integrative Neuroscience (LiNC), Universidade Federal de São Paulo (UNIFESP), São Paulo, Brazil
| | - Ary Gadelha
- Department of Psychiatry, Universidade Federal de São Paulo (UNIFESP), São Paulo, Brazil
- Laboratory of Integrative Neuroscience (LiNC), Universidade Federal de São Paulo (UNIFESP), São Paulo, Brazil
| | - Cristiano Noto
- Department of Psychiatry, Universidade Federal de São Paulo (UNIFESP), São Paulo, Brazil
- Laboratory of Integrative Neuroscience (LiNC), Universidade Federal de São Paulo (UNIFESP), São Paulo, Brazil
| | - Quirino Cordeiro
- Department of Psychiatry, Universidade Federal de São Paulo (UNIFESP), São Paulo, Brazil
- Department of Psychiatry, Faculdade de Ciências Médicas da Santa Casa de São Paulo, São Paulo, Brazil
| | - Rodrigo Affonseca Bressan
- Department of Psychiatry, Universidade Federal de São Paulo (UNIFESP), São Paulo, Brazil
- Laboratory of Integrative Neuroscience (LiNC), Universidade Federal de São Paulo (UNIFESP), São Paulo, Brazil
| | - Patricia Natalia Moretti
- Programa de Pós-graduação em Ciências Médicas, Faculdade de Medicina, Universidade de Brasília, Brasília, Brazil
| | - Sintia Iole Belangero
- Department of Psychiatry, Universidade Federal de São Paulo (UNIFESP), São Paulo, Brazil
- Laboratory of Integrative Neuroscience (LiNC), Universidade Federal de São Paulo (UNIFESP), São Paulo, Brazil
- Genetics Division, Department of Morphology and Genetics, Universidade Federal de São Paulo (UNIFESP), São Paulo, Brazil
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Burghardt KJ, Khoury AS, Msallaty Z, Yi Z, Seyoum B. Antipsychotic Medications and DNA Methylation in Schizophrenia and Bipolar Disorder: A Systematic Review. Pharmacotherapy 2020; 40:331-342. [PMID: 32058614 DOI: 10.1002/phar.2375] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
The pharmacoepigenetics of antipsychotic treatment in severe mental illness is a growing area of research that aims to understand the interface between antipsychotic treatment and genetic regulation. Pharmacoepigenetics may some day assist in identifying treatment response mechanisms or become one of the components in the implementation of precision medicine. To understand the current evidence regarding the effects of antipsychotics on DNA methylation a systematic review with qualitative synthesis was performed through Pubmed, Embase and Psychinfo from earliest data to June 2019. Studies were included if they analyzed DNA methylation in an antipsychotic-treated population of patients with schizophrenia or bipolar disorder. Data extraction occurred via a standardized format and study quality was assessed. Twenty-nine studies were identified for inclusion. Study design, antipsychotic type, sample source, and methods of DNA methylation measurement varied across all studies. Eighteen studies analyzed methylation in patients with schizophrenia, four studies in patients with bipolar disorder, and seven studies in a combined sample of schizophrenia and bipolar disorder. Twenty-two studies used observational samples whereas the remainder used prospectively treated samples. Six studies assessed global methylation, five assessed epigenome-wide, and 15 performed a candidate epigenetic study. Two studies analyzed both global and gene-specific methylation, whereas one study performed a simultaneous epigenome-wide and gene-specific study. Only three genes were analyzed in more than one gene-specific study and the findings were discordant. The state of the pharmacoepigenetic literature on antipsychotic use is still in its early stages and uniform reporting of methylation site information is needed. Future work should concentrate on using prospective sampling with appropriate control groups and begin to replicate many of the novel associations that have been reported.
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Affiliation(s)
- Kyle J Burghardt
- Wayne State University Eugene Applebaum College of Pharmacy and Health Sciences, Detroit, Michigan
| | - Audrey S Khoury
- Wayne State University Eugene Applebaum College of Pharmacy and Health Sciences, Detroit, Michigan
| | - Zaher Msallaty
- Wayne State University Eugene Applebaum College of Pharmacy and Health Sciences, Detroit, Michigan
| | - Zhengping Yi
- Wayne State University Eugene Applebaum College of Pharmacy and Health Sciences, Detroit, Michigan
| | - Berhane Seyoum
- Wayne State University School of Medicine, Detroit, Michigan
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11
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Omics in schizophrenia: current progress and future directions of antipsychotic treatments. JOURNAL OF BIO-X RESEARCH 2019. [DOI: 10.1097/jbr.0000000000000049] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/05/2023] Open
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Pharmacogenetic Correlates of Antipsychotic-Induced Weight Gain in the Chinese Population. Neurosci Bull 2019; 35:561-580. [PMID: 30607769 DOI: 10.1007/s12264-018-0323-6] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2018] [Accepted: 09/15/2018] [Indexed: 12/11/2022] Open
Abstract
Antipsychotic-induced weight gain (AIWG) is a common adverse effect of this treatment, particularly with second-generation antipsychotics, and it is a major health problem around the world. We aimed to review the progress of pharmacogenetic studies on AIWG in the Chinese population to compare the results for Chinese with other ethnic populations, identify the limitations and problems of current studies, and provide future research directions in China. Both English and Chinese electronic databases were searched to identify eligible studies. We determined that > 25 single-nucleotide polymorphisms in 19 genes have been investigated in association with AIWG in Chinese patients over the past few decades. HTR2C rs3813929 is the most frequently studied single-nucleotide polymorphism, and it seems to be the most strongly associated with AIWG in the Chinese population. However, many genes that have been reported to be associated with AIWG in other ethnic populations have not been included in Chinese studies. To explain the pharmacogenetic reasons for AIWG in the Chinese population, genome-wide association studies and multiple-center, standard, unified, and large samples are needed.
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