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Pharmacokinetic Markers of Clinical Outcomes in Severe Mental Illness: A Systematic Review. Int J Mol Sci 2023; 24:ijms24054776. [PMID: 36902205 PMCID: PMC10003720 DOI: 10.3390/ijms24054776] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2023] [Revised: 02/20/2023] [Accepted: 02/27/2023] [Indexed: 03/06/2023] Open
Abstract
The term severe mental illness (SMI) encompasses those psychiatric disorders exerting the highest clinical burden and socio-economic impact on the affected individuals and their communities. Pharmacogenomic (PGx) approaches hold great promise in personalizing treatment selection and clinical outcomes, possibly reducing the burden of SMI. Here, we sought to review the literature in the field, focusing on PGx testing and particularly on pharmacokinetic markers. We performed a systematic review on PUBMED/Medline, Web of Science, and Scopus. The last search was performed on the 17 September 2022, and further augmented with a comprehensive pearl-growing strategy. In total, 1979 records were screened, and after duplicate removal, 587 unique records were screened by at least 2 independent reviewers. Ultimately, forty-two articles were included in the qualitative analysis, eleven randomized controlled trials and thirty-one nonrandomized studies. The observed lack of standardization in PGx tests, population selection, and tested outcomes limit the overall interpretation of the available evidence. A growing body of evidence suggests that PGx testing might be cost-effective in specific settings and may modestly improve clinical outcomes. More efforts need to be directed toward improving PGx standardization, knowledge for all stakeholders, and clinical practice guidelines for screening recommendations.
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Saduakassova KZ, Svyatova GS. Population features of alleles and genotypes frequency distribution of polymorphic genetic markers of antipsychotic medications pharmacokinetics in the Kazakh population. Am J Med Genet B Neuropsychiatr Genet 2022; 189:100-107. [PMID: 35574727 DOI: 10.1002/ajmg.b.32893] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/18/2022] [Revised: 03/25/2022] [Accepted: 04/28/2022] [Indexed: 11/07/2022]
Abstract
The presented article is relevant, as the main goals of schizophrenia treatment are to achieve a response to psychopharmacotherapy, reduction and stabilization of psychopathological symptoms, qualitative remission, which in general implies the creation of a stable quality of life for the patient. The purpose of the study was to evaluate the population features of the frequency distribution of alleles and genotypes of polymorphic genetic variants of according to genome-wide association studies analysis of pharmacokinetics-associated antipsychotic medications, in an ethnically homogeneous Kazakh population. The research material was deoxyribonucleic acid (DNA) isolated from the peripheral blood of 1,800 conditionally healthy persons of Kazakh nationality. DNA isolation was carried out by the magnetic polyvinyl alcohol magnetic particle separation method. The analysis of the frequency distribution of the studied genotypes in the Kazakh population showed their compliance with the Hardy-Weinberg equilibrium for all studied polymorphisms (p > .05). The obtained results showed that CYP2C19 (rs4244285, rs4986893) polymorphisms occurs in Kazakhs significantly more often than European and a number of Asian populations, which significantly affects the decrease in effectiveness and increases the risk of side complications during therapy with antipsychotic medications in the Kazakh population.
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Affiliation(s)
- Korlan Z Saduakassova
- Department of Clinical Specialties, Faculty of Medicine and Health Care, Higher School of Medicine, Al-Farabi Kazakh National University, Almaty, Kazakhstan
| | - Gulnara S Svyatova
- Republican Medical Genetics Department, Scientific Center of Obstetrics, Gynecology and Perinatology, Almaty, Kazakhstan
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Elsheikh SSM, Müller DJ, Pouget JG. Pharmacogenetics of Antipsychotic Treatment in Schizophrenia. Methods Mol Biol 2022; 2547:389-425. [PMID: 36068471 DOI: 10.1007/978-1-0716-2573-6_14] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/15/2023]
Abstract
Antipsychotics are the mainstay treatment for schizophrenia. There is large variability between individuals in their response to antipsychotics, both in efficacy and adverse effects of treatment. While the source of interindividual variability in antipsychotic response is not completely understood, genetics is a major contributing factor. The identification of pharmacogenetic markers that predict antipsychotic efficacy and adverse reactions is a growing area of research and holds the potential to replace the current trial-and-error approach to treatment selection in schizophrenia with a personalized medicine approach.In this chapter, we provide an overview of the current state of pharmacogenetics in schizophrenia treatment. The most promising pharmacogenetic findings are presented for both antipsychotic response and commonly studied adverse reactions. The application of pharmacogenetics to schizophrenia treatment is discussed, with an emphasis on the clinical utility of pharmacogenetic testing and directions for future research.
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Affiliation(s)
| | - Daniel J Müller
- The Centre for Addiction and Mental Health (CAMH), Toronto, ON, Canada.
- Department of Psychiatry, University of Toronto, Toronto, ON, Canada.
| | - Jennie G Pouget
- The Centre for Addiction and Mental Health (CAMH), Toronto, ON, Canada
- Department of Psychiatry, University of Toronto, Toronto, ON, Canada
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Zai G. Pharmacogenetics of Obsessive-Compulsive Disorder: An Evidence-Update. Curr Top Behav Neurosci 2021; 49:385-398. [PMID: 33550565 DOI: 10.1007/7854_2020_205] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/06/2023]
Abstract
Pharmacogenetics has become increasingly important in the treatment of psychiatric disorders because approximately 50% of individuals who take psychotropic medications do not typically respond to them. Obsessive-compulsive disorder (OCD) is one such chronic and often debilitating mental illness with significant non-response to even the first-line medication, serotonin reuptake inhibitors. Precision medicine utilizing genetic testing panels has received significant attention based on the evidence that the variability of antidepressant response and adverse effects is partly due to the variability in an individual's genome. Thus, extensive research has investigated the role of genetic factors on antidepressant response in major depressive disorder (MDD) and their utility for guiding antidepressant treatment to significantly improving outcomes in individuals with MDD. However, limited progress remains in the pharmacogenetics of OCD. This chapter will provide an overview of the recent findings in the pharmacogenetics of OCD. Promising results with limited replications have been reported for the cytochrome P450 liver metabolism genes in addition to several serotonergic and glutamatergic system genes, which may play an important role in antidepressant response in the treatment of OCD.
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Affiliation(s)
- Gwyneth Zai
- Neurogenetics Section, Molecular Brain Science Department, Campbell Family Mental Health Research Institute, and General Adult Psychiatry and Health Systems Division, Centre for Addiction and Mental Health, Toronto, ON, Canada. .,Department of Psychiatry, University of Toronto, Toronto, ON, Canada. .,Institute of Medical Science, University of Toronto, Toronto, ON, Canada. .,Behavioural and Clinical Neuroscience Institute, Department of Psychiatry, University of Cambridge, Cambridge, UK.
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Cuéllar-Barboza AB, McElroy SL, Veldic M, Singh B, Kung S, Romo-Nava F, Nunez NA, Cabello-Arreola A, Coombes BJ, Prieto M, Betcher HK, Moore KM, Winham SJ, Biernacka JM, Frye MA. Potential pharmacogenomic targets in bipolar disorder: considerations for current testing and the development of decision support tools to individualize treatment selection. Int J Bipolar Disord 2020; 8:23. [PMID: 32632502 PMCID: PMC7338319 DOI: 10.1186/s40345-020-00184-3] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/15/2019] [Accepted: 03/07/2020] [Indexed: 12/13/2022] Open
Abstract
Background Treatment in bipolar disorder (BD) is commonly applied as a multimodal therapy based on decision algorithms that lack an integrative understanding of molecular mechanisms or a biomarker associated clinical outcome measure. Pharmacogenetics/genomics study the individual genetic variation associated with drug response. This selective review of pharmacogenomics and pharmacogenomic testing (PGT) in BD will focus on candidate genes and genome wide association studies of pharmacokinetic drug metabolism and pharmacodynamic drug response/adverse event, and the potential role of decision support tools that incorporate multiple genotype/phenotype drug recommendations. Main body We searched PubMed from January 2013 to May 2019, to identify studies reporting on BD and pharmacogenetics, pharmacogenomics and PGT. Studies were selected considering their contribution to the field. We summarize our findings in: targeted candidate genes of pharmacokinetic and pharmacodynamic pathways, genome-wide association studies and, PGT platforms, related to BD treatment. This field has grown from studies of metabolizing enzymes (i.e., pharmacokinetics) and drug transporters (i.e., pharmacodynamics), to untargeted investigations across the entire genome with the potential to merge genomic data with additional biological information. Conclusions The complexity of BD genetics and, the heterogeneity in BD drug-related phenotypes, are important considerations for the design and interpretation of BD PGT. The clinical applicability of PGT in psychiatry is in its infancy and is far from reaching the robust impact it has in other medical disciplines. Nonetheless, promising findings are discovered with increasing frequency with remarkable relevance in neuroscience, pharmacology and biology.
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Affiliation(s)
- Alfredo B Cuéllar-Barboza
- Department of Psychiatry, University Hospital, Universidad Autonoma de Nuevo Leon, Monterrey, Mexico.,Department of Psychiatry and Psychology, Mayo Clinic, 200 First Street SW, Rochester, MN, 55905, USA
| | - Susan L McElroy
- Lindner Center of HOPE and Department of Psychiatry, University of Cincinnati, Cincinnati, OH, USA
| | - Marin Veldic
- Department of Psychiatry, University Hospital, Universidad Autonoma de Nuevo Leon, Monterrey, Mexico
| | - Balwinder Singh
- Department of Psychiatry, University Hospital, Universidad Autonoma de Nuevo Leon, Monterrey, Mexico
| | - Simon Kung
- Department of Psychiatry and Psychology, Mayo Clinic, 200 First Street SW, Rochester, MN, 55905, USA
| | - Francisco Romo-Nava
- Lindner Center of HOPE and Department of Psychiatry, University of Cincinnati, Cincinnati, OH, USA
| | - Nicolas A Nunez
- Department of Psychiatry and Psychology, Mayo Clinic, 200 First Street SW, Rochester, MN, 55905, USA
| | - Alejandra Cabello-Arreola
- Department of Psychiatry and Psychology, Mayo Clinic, 200 First Street SW, Rochester, MN, 55905, USA
| | | | - Miguel Prieto
- Department of Psychiatry, Universidad de los Andes, Santiago, Chile
| | - Hannah K Betcher
- Department of Psychiatry and Psychology, Mayo Clinic, 200 First Street SW, Rochester, MN, 55905, USA
| | - Katherine M Moore
- Department of Psychiatry and Psychology, Mayo Clinic, 200 First Street SW, Rochester, MN, 55905, USA
| | - Stacey J Winham
- Department of Health Sciences Research, Mayo Clinic, Rochester, USA
| | - Joanna M Biernacka
- Department of Psychiatry, University Hospital, Universidad Autonoma de Nuevo Leon, Monterrey, Mexico.,Department of Health Sciences Research, Mayo Clinic, Rochester, USA
| | - Mark A Frye
- Department of Psychiatry, University Hospital, Universidad Autonoma de Nuevo Leon, Monterrey, Mexico. .,Department of Psychiatry and Psychology, Mayo Clinic, 200 First Street SW, Rochester, MN, 55905, USA.
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Del Casale A, Sorice S, Padovano A, Simmaco M, Ferracuti S, Lamis DA, Rapinesi C, Sani G, Girardi P, Kotzalidis GD, Pompili M. Psychopharmacological Treatment of Obsessive-Compulsive Disorder (OCD). Curr Neuropharmacol 2020; 17:710-736. [PMID: 30101713 PMCID: PMC7059159 DOI: 10.2174/1570159x16666180813155017] [Citation(s) in RCA: 70] [Impact Index Per Article: 17.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2018] [Revised: 07/06/2018] [Accepted: 08/12/2018] [Indexed: 02/07/2023] Open
Abstract
Background: Obsessive-compulsive disorder (OCD) is associated with affective and cognitive symptoms causing personal distress and reduced global functioning. These have considerable societal costs due to healthcare service utilization. Objective: Our aim was to assess the efficacy of pharmacological interventions in OCD and clinical guidelines, providing a comprehensive overview of this field. Methods: We searched the PubMed database for papers dealing with drug treatment of OCD, with a specific focus on clinical guidelines, treatments with antidepressants, antipsychotics, mood stabilizers, off-label medications, and pharmacogenomics. Results: Prolonged administration of selective serotonin reuptake inhibitors (SSRIs) is most effective. Better results can be obtained with a SSRI combined with cognitive behavioral therapy (CBT) or the similarly oriented exposure and response prevention (ERP). Refractory OCD could be treated with different strategies, including a switch to another SSRI or clomipramine, or augmentation with an atypical antipsychotic. The addition of medications other than antipsychotics or intravenous antidepressant administration needs further investigation, as the evidence is inconsistent. Pharmacogenomics and personalization of therapy could reduce treatment resistance. Conclusions: SSRI/clomipramine in combination with CBT/ERP is associated with the optimal response compared to each treatment alone or to other treatments. New strategies for refractory OCD are needed. The role of pharmacogenomics could become preponderant in the coming years.
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Affiliation(s)
- Antonio Del Casale
- Department of Neuroscience, Mental Health, and Sensory Organs (NESMOS), Faculty of Medicine and Psychology, Sapienza University, Unit of Psychiatry, Sant'Andrea University Hospital, Rome, Italy
| | - Serena Sorice
- Residency School in Psychiatry, Faculty of Medicine and Psychology, Sapienza University, Unit of Psychiatry, Sant'Andrea University Hospital, Rome, Italy
| | - Alessio Padovano
- Residency School in Psychiatry, Faculty of Medicine and Psychology, Sapienza University, Unit of Psychiatry, Sant'Andrea University Hospital, Rome, Italy
| | - Maurizio Simmaco
- Department of Neuroscience, Mental Health, and Sensory Organs (NESMOS), Faculty of Medicine and Psychology, Sapienza University, Unit of Psychiatry, Sant'Andrea University Hospital, Rome, Italy
| | | | - Dorian A Lamis
- Department of Psychiatry and Behavioral Sciences, Emory University School of Medicine, Atlanta, GA, United States
| | - Chiara Rapinesi
- Department of Neuroscience, Mental Health, and Sensory Organs (NESMOS), Faculty of Medicine and Psychology, Sapienza University, Unit of Psychiatry, Sant'Andrea University Hospital, Rome, Italy
| | - Gabriele Sani
- Department of Neuroscience, Mental Health, and Sensory Organs (NESMOS), Faculty of Medicine and Psychology, Sapienza University, Unit of Psychiatry, Sant'Andrea University Hospital, Rome, Italy
| | - Paolo Girardi
- Department of Neuroscience, Mental Health, and Sensory Organs (NESMOS), Faculty of Medicine and Psychology, Sapienza University, Unit of Psychiatry, Sant'Andrea University Hospital, Rome, Italy
| | - Georgios D Kotzalidis
- Department of Neuroscience, Mental Health, and Sensory Organs (NESMOS), Faculty of Medicine and Psychology, Sapienza University, Unit of Psychiatry, Sant'Andrea University Hospital, Rome, Italy
| | - Maurizio Pompili
- Department of Neuroscience, Mental Health, and Sensory Organs (NESMOS), Faculty of Medicine and Psychology, Sapienza University, Unit of Psychiatry, Sant'Andrea University Hospital, Rome, Italy
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Alemany-Navarro M, Costas J, Real E, Segalàs C, Bertolín S, Domènech L, Rabionet R, Carracedo Á, Menchón JM, Alonso P. Do polygenic risk and stressful life events predict pharmacological treatment response in obsessive compulsive disorder? A gene-environment interaction approach. Transl Psychiatry 2019; 9:70. [PMID: 30718812 PMCID: PMC6362161 DOI: 10.1038/s41398-019-0410-0] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/23/2018] [Revised: 08/18/2018] [Accepted: 11/08/2018] [Indexed: 12/13/2022] Open
Abstract
The rate of response to pharmacological treatment in Obsessive-compulsive disorder (OCD) oscillates between 40 and 70%. Genetic and environmental factors have been associated with treatment response in OCD. This study analyzes the predictive ability of a polygenic risk score (PRS) built from OCD-risk variants, for treatment response in OCD, and the modulation role of stressful life events (SLEs) at the onset of the disorder. PRSs were calculated for a sample of 103 patients. Yale-Brown Obsessive Compulsive Scale (YBOCS) scores were obtained before and after a 12-week treatment. Regression analyses were performed to analyze the influence of the PRS and SLEs at onset on treatment response. PRS did not predict treatment response. The best predictive model for post-treatment YBOCS (post YBOCS) included basal YBOCS and age. PRS appeared as a predictor for basal and post YBOCS. SLEs at onset were not a predictor for treatment response when included in the regression model. No evidence for PRS predictive ability for treatment response was found. The best predictor for treatment response was age, agreeing with previous literature specific for SRI treatment. Suggestions are made on the possible role of neuroplasticity as a mediator on this association. PRS significantly predicted OCD severity independent on pharmacological treatment. SLE at onset modulation role was not evidenced. Further research is needed to elucidate the genetic and environmental bases of treatment response in OCD.
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Affiliation(s)
- María Alemany-Navarro
- Institut d' Investigació Biomèdica de Bellvitge (IDIBELL), L'Hospitalet de Llobregat (Barcelona), Spain. .,OCD Clinical and Research Unit, Psychiatry Department, Hospital Universitari de Bellvitge, L'Hospitalet de Llobregat (Barcelona), Spain.
| | - Javier Costas
- 0000 0000 9403 4738grid.420359.9Grupo de Xenética Psiquiátrica, Instituto de Investigación Sanitaria de Santiago, Complexo Hospitalario Universitario de Santiago de Compostela, Servizo Galego de Saúde, Santiago de Compostela, Spain
| | - Eva Real
- Institut d’ Investigació Biomèdica de Bellvitge (IDIBELL), L’Hospitalet de Llobregat (Barcelona), Spain ,0000 0000 8836 0780grid.411129.eOCD Clinical and Research Unit, Psychiatry Department, Hospital Universitari de Bellvitge, L’Hospitalet de Llobregat (Barcelona), Spain
| | - Cinto Segalàs
- Institut d’ Investigació Biomèdica de Bellvitge (IDIBELL), L’Hospitalet de Llobregat (Barcelona), Spain ,0000 0000 8836 0780grid.411129.eOCD Clinical and Research Unit, Psychiatry Department, Hospital Universitari de Bellvitge, L’Hospitalet de Llobregat (Barcelona), Spain
| | - Sara Bertolín
- 0000 0000 8836 0780grid.411129.eOCD Clinical and Research Unit, Psychiatry Department, Hospital Universitari de Bellvitge, L’Hospitalet de Llobregat (Barcelona), Spain
| | - Laura Domènech
- grid.473715.3Centre for Genomic Regulation (CRG), The Barcelona Institute of Science and Technology, Dr. Aiguader 88, Barcelona, 08003 Spain ,0000 0001 2172 2676grid.5612.0Universitat Pompeu Fabra (UPF), Barcelona, Spain ,CIBER in Epidemiology and Public Health (CIBERESP), Barcelona, Spain
| | - Raquel Rabionet
- grid.473715.3Centre for Genomic Regulation (CRG), The Barcelona Institute of Science and Technology, Dr. Aiguader 88, Barcelona, 08003 Spain ,0000 0001 2172 2676grid.5612.0Universitat Pompeu Fabra (UPF), Barcelona, Spain ,CIBER in Epidemiology and Public Health (CIBERESP), Barcelona, Spain
| | - Ángel Carracedo
- 0000 0000 9403 4738grid.420359.9Grupo de Xenética Psiquiátrica, Instituto de Investigación Sanitaria de Santiago, Complexo Hospitalario Universitario de Santiago de Compostela, Servizo Galego de Saúde, Santiago de Compostela, Spain ,0000000109410645grid.11794.3aGrupo de Medicina Xenómica, Universidade de Santiago de Compostela, Centro Nacional de Genotipado - Instituto Carlos III, Santiago de Compostela, Spain ,0000 0004 1791 1185grid.452372.5Centro de Investigación Biomédica en Red de Enfermedades Raras, Santiago de Compostela, Spain
| | - Jose M. Menchón
- Institut d’ Investigació Biomèdica de Bellvitge (IDIBELL), L’Hospitalet de Llobregat (Barcelona), Spain ,0000 0000 8836 0780grid.411129.eOCD Clinical and Research Unit, Psychiatry Department, Hospital Universitari de Bellvitge, L’Hospitalet de Llobregat (Barcelona), Spain ,0000 0000 9314 1427grid.413448.eCIBERSAM (Centro de Investigación en Red de Salud Mental), Instituto de Salud Carlos III, Madrid, Spain ,0000 0004 1937 0247grid.5841.8Department of Clinical Sciences, Bellvitge Campus, University of Barcelona, Barcelona, Spain
| | - Pino Alonso
- Institut d’ Investigació Biomèdica de Bellvitge (IDIBELL), L’Hospitalet de Llobregat (Barcelona), Spain ,0000 0000 8836 0780grid.411129.eOCD Clinical and Research Unit, Psychiatry Department, Hospital Universitari de Bellvitge, L’Hospitalet de Llobregat (Barcelona), Spain ,0000 0000 9314 1427grid.413448.eCIBERSAM (Centro de Investigación en Red de Salud Mental), Instituto de Salud Carlos III, Madrid, Spain ,0000 0004 1937 0247grid.5841.8Department of Clinical Sciences, Bellvitge Campus, University of Barcelona, Barcelona, Spain
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Lisoway AJ, Zai G, Tiwari AK, Zai CC, Wigg K, Goncalves V, Zhang D, Freeman N, Müller DJ, Kennedy JL, Richter MA. Pharmacogenetic evaluation of a DISP1 gene variant in antidepressant treatment of obsessive-compulsive disorder. Hum Psychopharmacol 2018; 33:e2659. [PMID: 29953682 DOI: 10.1002/hup.2659] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/12/2017] [Revised: 01/17/2018] [Accepted: 04/09/2018] [Indexed: 12/12/2022]
Abstract
OBJECTIVES A recent genome-wide association study (GWAS) in obsessive-compulsive disorder (OCD) reported a significant marker in the dispatched homolog 1 (Drosophila) gene (DISP1 gene) associated with serotonin reuptake inhibitor (SRI) antidepressant response (Qin et al., ). DISP1 has never been examined before in terms of association with SRI response until this GWAS. We attempt to replicate the GWAS finding by investigating the association of the DISP1 rs17162912 polymorphism with SRI response in our sample of 112 European Caucasian OCD patients. METHODS Patients were previously treated naturalistically with up to 6 different SRIs sequentially, including 5 selective SRIs (fluoxetine, fluvoxamine, sertraline, paroxetine, and citalopram) and 1 SRI (clomipramine). Each medication trial was evaluated retrospectively for response and was rated categorically as either responder or nonresponder using the Clinical Global Impression-Improvement scale. Fisher's exact test was used to investigate the relationship between the DISP1 rs17162912 genotype distribution and SRI response. RESULTS We did not observe a significant association between rs17162912 and SRI response (p = .32). CONCLUSION This replication study did not support the role of DISP1 in predicting SRI response in OCD; however, methodological differences between the original GWAS and our study, as well as limited power and low minor allele frequency, may have hindered replication.
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Affiliation(s)
- Amanda J Lisoway
- Molecular Brain Science, Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, ON, Canada.,Institute of Medical Science, Faculty of Medicine, University of Toronto, Toronto, ON, Canada
| | - Gwyneth Zai
- Molecular Brain Science, Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, ON, Canada.,Mood and Anxiety Division, Centre for Addiction and Mental Health, Toronto, ON, Canada.,Department of Psychiatry, University of Toronto, Toronto, ON, Canada
| | - Arun K Tiwari
- Molecular Brain Science, Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, ON, Canada.,Department of Psychiatry, University of Toronto, Toronto, ON, Canada
| | - Clement C Zai
- Molecular Brain Science, Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, ON, Canada.,Department of Psychiatry, University of Toronto, Toronto, ON, Canada.,Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, ON, Canada
| | - Karen Wigg
- Department of Pharmacology & Toxicology, Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada
| | - Vanessa Goncalves
- Molecular Brain Science, Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, ON, Canada.,Department of Psychiatry, University of Toronto, Toronto, ON, Canada
| | - Danning Zhang
- Molecular Brain Science, Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, ON, Canada
| | - Natalie Freeman
- Molecular Brain Science, Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, ON, Canada
| | - Daniel J Müller
- Molecular Brain Science, Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, ON, Canada.,Institute of Medical Science, Faculty of Medicine, University of Toronto, Toronto, ON, Canada.,Department of Psychiatry, University of Toronto, Toronto, ON, Canada.,Department of Pharmacology & Toxicology, Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada
| | - James L Kennedy
- Molecular Brain Science, Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, ON, Canada.,Institute of Medical Science, Faculty of Medicine, University of Toronto, Toronto, ON, Canada.,Department of Psychiatry, University of Toronto, Toronto, ON, Canada
| | - Margaret A Richter
- Institute of Medical Science, Faculty of Medicine, University of Toronto, Toronto, ON, Canada.,Department of Psychiatry, University of Toronto, Toronto, ON, Canada.,The Frederick W. Thompson Anxiety Disorders Centre, Department of Psychiatry, Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada
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10
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Eum S, Lee AM, Bishop JR. Pharmacogenetic tests for antipsychotic medications: clinical implications and considerations. DIALOGUES IN CLINICAL NEUROSCIENCE 2017. [PMID: 27757066 PMCID: PMC5067149 DOI: 10.31887/dcns.2016.18.3/jbishop] [Citation(s) in RCA: 26] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 01/07/2023]
Abstract
Optimizing antipsychotic pharmacotherapy is often challenging due to significant variability in effectiveness and tolerability. Genetic factors influencing pharmacokinetics and pharmacodynamics may contribute to some of this variability. Research studies have characterized these pharmacogenetic relationships, and some genetic markers are now available as clinical tests. These advances in pharmacogenetics research and test availability have great potential to improve clinical outcomes and quality of life in psychiatric patients. For clinicians considering using pharmacogenetics, it is important to understand the clinical implications and also the limitations of markers included in currently available tests. This review focuses on pharmacokinetic and pharmacodynamic gene variants that are currently available in commercial genetic testing panels. Associations of these variants with clinical efficacy and adverse effects, as well as other clinical implications, in antipsychotic pharmacotherapy are discussed.
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Affiliation(s)
- Seenae Eum
- College of Pharmacy, Department of Experimental and Clinical Pharmacology; University of Minnesota, Minneapolis, Minnesota, USA
| | - Adam M Lee
- College of Pharmacy, Department of Experimental and Clinical Pharmacology; University of Minnesota, Minneapolis, Minnesota, USA
| | - Jeffrey R Bishop
- College of Pharmacy, Department of Experimental and Clinical Pharmacology; College of Medicine, Department of Psychiatry; University of Minnesota, Minneapolis, Minnesota, USA
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11
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Cartwright AL, Wilby KJ, Corrigan S, Ensom MHH. Pharmacogenetics of Risperidone: A Systematic Review of the Clinical Effects of CYP2D6 Polymorphisms. Ann Pharmacother 2016; 47:350-60. [DOI: 10.1345/aph.1r333] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/16/2023] Open
Abstract
OBJECTIVE To summarize and evaluate the pharmacogenetic literature pertaining to the effects of CYP2D6 polymorphism on clinical outcomes of risperidone therapy. DATA SOURCES A systematic literature search was performed using the search terms risperidone, pharmacogenetics, cytochrome P-450 enzyme system, cytochrome P-450 CYP2D6, and polymorphism (genetic) in MEDLINE (1946-October 2012), EMBASE (1980-October 2012), PubMed (1947-October 2012), International Pharmaceutical Abstracts (1970-October 2012), and Google Scholar. STUDY SELECTION AND DATA EXTRACTION Identified articles were included if they measured the association between CYP2D6 genetic polymorphisms and clinical outcomes in at least 2 patients taking risperidone. The data elements extracted from these articles consisted of study design, number of subjects, indication for risperidone therapy, CYP2D6 phenotype status, mean daily dose of risperidone, and effects on clinical outcomes. DATA SYNTHESIS The identified citations consisted of 10 prospective nonrandomized, uncontrolled cohort studies, 1 retrospective cohort study, 1 prospective case-control study, and 1 retrospective case series. Studies were of variable quality and none provided high-quality evidence; they included heterogeneous patient populations with varying clinical diagnoses and drug therapy regimens. Most studies reported nonsignificant trends but were limited by power to detect statistical significance and short trial duration. However, increased risk of adverse effects (including QT interval prolongation) was observed in patients with inactive alleles. CONCLUSIONS While there were trends toward increased adverse effects in poor metabolizers, most outcomes were not significant. As such, routine genotyping should not be used for screening. Future usefulness cannot be ruled out, as many studies had significant limitations that preclude determination of clinical relevance. Adequately powered clinical and epidemiologic studies are warranted to clarify the role of CYP2D6 genotyping in practice.
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Affiliation(s)
- Andrea L Cartwright
- Andrea L Cartwright BSc(Pharm) ACPR, PharmD Student, Faculty of Pharmaceutical Sciences, The University of British Columbia, Vancouver, British Columbia, Canada
| | - Kyle J Wilby
- Kyle J Wilby PharmD ACPR, Assistant Professor, College of Pharmacy, Qatar University, Doha, Qatar
| | - Susan Corrigan
- Susan Corrigan PharmD ACPR, Clinical Pharmacy Specialist in Mental Health, Surrey Memorial Hospital, Surrey, British Columbia; Clinical Assistant Professor, Faculty of Pharmaceutical Sciences, The University of British Columbia
| | - Mary HH Ensom
- Mary HH Ensom PharmD FASHP FCCP FCSHP FCAHS, Professor, Faculty of Pharmaceutical Sciences, and Distinguished University Scholar, The University of British Columbia; Clinical Pharmacy Specialist, Children's and Women's Health Centre of British Columbia
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12
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Hazari N, Narayanaswamy JC, Arumugham SS. Predictors of response to serotonin reuptake inhibitors in obsessive-compulsive disorder. Expert Rev Neurother 2016; 16:1175-91. [DOI: 10.1080/14737175.2016.1199960] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/21/2022]
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13
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Pouget JG, Shams TA, Tiwari AK, Müller DJ. Pharmacogenetics and outcome with antipsychotic drugs. DIALOGUES IN CLINICAL NEUROSCIENCE 2015. [PMID: 25733959 PMCID: PMC4336924 DOI: 10.31887/dcns.2014.16.4/jpouget] [Citation(s) in RCA: 50] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
Antipsychotic medications are the gold-standard treatment for schizophrenia, and are often prescribed for other mental conditions. However, the efficacy and side-effect profiles of these drugs are heterogeneous, with large interindividual variability. As a result, treatment selection remains a largely trial-and-error process, with many failed treatment regimens endured before finding a tolerable balance between symptom management and side effects. Much of the interindividual variability in response and side effects is due to genetic factors (heritability, h2~ 0.60-0.80). Pharmacogenetics is an emerging field that holds the potential to facilitate the selection of the best medication for a particular patient, based on his or her genetic information. In this review we discuss the most promising genetic markers of antipsychotic treatment outcomes, and present current translational research efforts that aim to bring these pharmacogenetic findings to the clinic in the near future.
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Affiliation(s)
- Jennie G Pouget
- Pharmacogenetics Research Clinic, Campbell Family Research Institute, Centre for Addiction and Mental Health, Toronto, Ontario, Canada ; Institute of Medical Sciences, University of Toronto, Toronto, Ontario, Canada
| | - Tahireh A Shams
- Pharmacogenetics Research Clinic, Campbell Family Research Institute, Centre for Addiction and Mental Health, Toronto, Ontario, Canada; Department of Science, Ryerson University,Toronto, Ontario, Canada
| | - Arun K Tiwari
- Pharmacogenetics Research Clinic, Campbell Family Research Institute, Centre for Addiction and Mental Health, Toronto, Ontario, Canada
| | - Daniel J Müller
- Pharmacogenetics Research Clinic, Campbell Family Research Institute, Centre for Addiction and Mental Health, Toronto, Ontario, Canada; Department of Psychiatry University of Toronto, Toronto, Ontario, Canada
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14
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Chang YS, Lee CC, Liu TY, Chen YC, Lu HC, Chang JG. Direct assessment of cytochrome P450 2D6 genotypes by high-resolution melting analysis and DNA sequencing. ENVIRONMENTAL TOXICOLOGY AND PHARMACOLOGY 2014; 38:821-828. [PMID: 25461541 DOI: 10.1016/j.etap.2014.09.010] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/30/2014] [Revised: 09/18/2014] [Accepted: 09/21/2014] [Indexed: 06/04/2023]
Abstract
We developed a CYP2D6 genotyping method that required only one polymerase chain reaction (PCR) followed by a high-resolution melting curve analysis (HRM) and DNA sequencing. DNA was extracted from peripheral blood samples obtained from 100 normal individuals. From the HRM analysis using three fragments of amplicons (exons 1, 6, and 9), we successfully identified four common CYP2D6 gene polymorphisms (100C>T, 2850C>T, 2988G>A, and 4180G>C). Exons 3 and 7 were also screened by HRM analysis. The heteroduplexes, wild-type homoduplexes, and homoduplexes of compound mutations showed distinct melting plots. The other four exons (exons 2, 4, 5, and 8) were directly analyzed by DNA sequencing. In conclusion, we developed an HRM and DNA sequencing based method to assess the CYP2D6 gene directly without the need for nested PCR. This method is quick and cost-effective; it reduces the chance of PCR contamination and is suitable for clinical application.
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Affiliation(s)
- Ya-Sian Chang
- Epigenome Research Center, China Medical University Hospital, Taichung, Taiwan; Department of Laboratory Medicine, China Medical University Hospital, Taichung, Taiwan
| | - Chien-Chin Lee
- Epigenome Research Center, China Medical University Hospital, Taichung, Taiwan
| | - Ting-Yuan Liu
- Epigenome Research Center, China Medical University Hospital, Taichung, Taiwan; Graduate Institute of Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung, Taiwan
| | - Yu-Chia Chen
- Epigenome Research Center, China Medical University Hospital, Taichung, Taiwan; Graduate Institute of Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung, Taiwan
| | - Hsiu-Chin Lu
- Department of Laboratory Medicine, China Medical University Hospital, Taichung, Taiwan
| | - Jan-Gowth Chang
- Epigenome Research Center, China Medical University Hospital, Taichung, Taiwan; Department of Laboratory Medicine, China Medical University Hospital, Taichung, Taiwan; School of Medicine, China Medical University, Taichung, Taiwan.
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15
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Fonseka TM, Richter MA, Müller DJ. Second generation antipsychotic-induced obsessive-compulsive symptoms in schizophrenia: a review of the experimental literature. Curr Psychiatry Rep 2014; 16:510. [PMID: 25256097 DOI: 10.1007/s11920-014-0510-8] [Citation(s) in RCA: 45] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
Abstract
Second generation antipsychotics (SGAs) have been implicated in the de novo emergence and exacerbation of obsessive-compulsive symptoms (OCS) in patients with schizophrenia. Among SGAs, clozapine, olanzapine, and risperidone are the most prominent agents associated with these sequelae, according to case reports. Comorbid OCS can impede recovery by compromising treatment benefits, medication compliance, and clinical prognoses. Previous reviews of SGA-induced OCS have predominantly focused on descriptive case reports, with limited attention paid toward experimental findings. To address this paucity of data, we sought to review the effects of SGAs on OCS in schizophrenia in the experimental literature, while addressing the role of different treatment (duration, dose, serum levels) and pharmacogenetic factors. Our findings suggest that clozapine confers the greatest risk of OCS in schizophrenia, with 20 to 28% of clozapine-treated patients experiencing de novo OCS, in addition to 10 to 18% incurring an exacerbation of pre-existing OCS. Clozapine can also yield full threshold obsessive-compulsive disorder (OCD), in some cases. Olanzapine is another high risk drug for secondary OCS which occurs in 11 to 20% of schizophrenic patients receiving olanzapine therapy. At this time, there is insufficient experimental evidence to characterize the effects of other SGAs on OCS. Despite some experimental support for the involvement of longer treatment duration and genetic factors in mediating drug-induced OCS, more research is needed to clearly elucidate these associations. Based on these results, schizophrenic patients should be routinely monitored for OCS throughout the course of SGA treatment, particularly when clozapine or olanzapine is administered.
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Affiliation(s)
- Trehani M Fonseka
- Campbell Family Mental Health Research Institute, Center for Addiction and Mental Health, 250 College Street, Toronto, ON, M5T 1R8, Canada
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16
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Zai G, Brandl EJ, Müller DJ, Richter MA, Kennedy JL. Pharmacogenetics of antidepressant treatment in obsessive–compulsive disorder: an update and implications for clinicians. Pharmacogenomics 2014; 15:1147-57. [DOI: 10.2217/pgs.14.83] [Citation(s) in RCA: 30] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023] Open
Abstract
Obsessive–compulsive disorder (OCD) is a chronic neuropsychiatric disorder with high genetic influence. Antidepressants such as serotonin reuptake inhibitors, are widely accepted as the first-line medications for OCD; however, approximately 50% of OCD patients show poor response. Personalized medicine utilizing genetic testing has recently received much attention because the variability of antidepressant response and tolerability are partly due to an individual’s genetic variations. This has led to researchers investigating the role of specific genetic factors on antidepressant response and utility of testing in the clinical realm. Genetic test panels are showing promise for guiding antidepressant treatment to improve outcomes in depression. This article will review the most recent findings in the pharmacogenetics of OCD and its related disorders. Promising results have been reported for several serotonergic and glutamatergic system genes and the cytochrome CYP450 liver enzyme genes, which appear to play an important role in OCD and antidepressant response.
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Affiliation(s)
- Gwyneth Zai
- Neurogenetics Section, Centre for Addiction & Mental Health, Toronto, ON M5T 1R8, Canada
- Department of Psychiatry, University of Toronto, Toronto, ON M5T 1R8, Canada
- Institute of Medical Science, University of Toronto, Toronto M5S 1A8, Canada
- The Frederick W Thompson Anxiety Disorders Centre, Department of Psychiatry, Sunnybrook Health Sciences Centre, Toronto, ON M4N 3M5, Canada
| | - Eva J Brandl
- Neurogenetics Section, Centre for Addiction & Mental Health, Toronto, ON M5T 1R8, Canada
- Department of Psychiatry, University of Toronto, Toronto, ON M5T 1R8, Canada
| | - Daniel J Müller
- Neurogenetics Section, Centre for Addiction & Mental Health, Toronto, ON M5T 1R8, Canada
- Department of Psychiatry, University of Toronto, Toronto, ON M5T 1R8, Canada
- Institute of Medical Science, University of Toronto, Toronto M5S 1A8, Canada
| | - Margaret A Richter
- Department of Psychiatry, University of Toronto, Toronto, ON M5T 1R8, Canada
- Institute of Medical Science, University of Toronto, Toronto M5S 1A8, Canada
- The Frederick W Thompson Anxiety Disorders Centre, Department of Psychiatry, Sunnybrook Health Sciences Centre, Toronto, ON M4N 3M5, Canada
| | - James L Kennedy
- Neurogenetics Section, Centre for Addiction & Mental Health, Toronto, ON M5T 1R8, Canada
- Department of Psychiatry, University of Toronto, Toronto, ON M5T 1R8, Canada
- Institute of Medical Science, University of Toronto, Toronto M5S 1A8, Canada
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17
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Lanktree MB, Zai G, VanderBeek LE, Giuffra DE, Smithson DS, Kipp LB, Dalseg TR, Speechley M, Kennedy JL. Positive perception of pharmacogenetic testing for psychotropic medications. Hum Psychopharmacol 2014; 29:287-91. [PMID: 24604560 PMCID: PMC4237188 DOI: 10.1002/hup.2383] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/30/2012] [Accepted: 11/25/2013] [Indexed: 12/03/2022]
Abstract
INTRODUCTION Pharmacogenetics attempts to identify inter-individual genetic differences that are predictive of variable drug response and propensity to side effects, with the prospect of assisting physicians to select the most appropriate drug and dosage for treatment. However, many concerns regarding genetic tests exist. We sought to test the opinions of undergraduate science and medical students in southern Ontario universities toward pharmacogenetic testing. METHODS AND RESULTS Questionnaires were completed by 910 undergraduate medicine and science students from 2005 to 2007. Despite students' concerns that the results of genetic tests may be used for other purposes without consent (71%) or lead to discrimination (78%), an overwhelming number of students were in favor of pharmacogenetic testing (90%). DISCUSSION To our knowledge, this study is the first to survey a large sample for their attitude toward pharmacogenetic testing for psychotropic medications. Our results indicate that, although concerns remain and scientific advancements are required, respondents were in support of pharmacogenetic testing for medications used to treat schizophrenia. © 2014 The Authors. Human Psychopharmacology: Clinical and Experimental published by John Wiley & Sons, Ltd.
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Affiliation(s)
- Matthew B Lanktree
- Department of Medicine, School of Medicine & Dentistry, University of Western OntarioLondon, Ontario, Canada,Department of Biochemistry, Schulich School of Medicine & Dentistry, University of Western OntarioLondon, Ontario, Canada
| | - Gwyneth Zai
- Department of Psychiatry, Faculty of Medicine, University of TorontoToronto, Ontario, Canada,Institute of Medical Science, University of TorontoToronto, Ontario, Canada,Neurogenetics Section, Centre for Addiction and Mental Health, University of TorontoToronto, Ontario, Canada
| | | | - Daniel E Giuffra
- Neurogenetics Section, Centre for Addiction and Mental Health, University of TorontoToronto, Ontario, Canada
| | - David S Smithson
- Department of Medicine, School of Medicine & Dentistry, University of Western OntarioLondon, Ontario, Canada
| | - Lucas B Kipp
- Department of Medicine, School of Medicine & Dentistry, University of Western OntarioLondon, Ontario, Canada
| | - Timothy R Dalseg
- Department of Medicine, School of Medicine & Dentistry, University of Western OntarioLondon, Ontario, Canada
| | - Mark Speechley
- Department of Statistical Sciences, University of Western OntarioLondon, Ontario, Canada
| | - James L Kennedy
- Department of Psychiatry, Faculty of Medicine, University of TorontoToronto, Ontario, Canada,Institute of Medical Science, University of TorontoToronto, Ontario, Canada,Neurogenetics Section, Centre for Addiction and Mental Health, University of TorontoToronto, Ontario, Canada,
*Correspondence to: J. L. Kennedy, Centre for Addiction and Mental Health, University of Toronto, 250 College Street Rm 129, Toronto, Ontario M5T 1R8, Canada. E-mail:
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Abstract
Antipsychotics are the mainstay treatment for schizophrenia. There is large variability between individuals in their response to antipsychotics, both in efficacy and adverse effects of treatment. While the source of interindividual variability in antipsychotic response is not completely understood, genetics is a major contributing factor. The identification of pharmacogenetic markers that predict antipsychotic efficacy and adverse reactions is a growing area of research, and holds the potential to replace the current trial-and-error approach to treatment selection in schizophrenia with a personalized medicine approach.In this chapter, we provide an overview of the current state of pharmacogenetics in schizophrenia treatment. The most promising pharmacogenetic findings are presented for both antipsychotic response and commonly studied adverse reactions. The application of pharmacogenetics to schizophrenia treatment is discussed, with an emphasis on the clinical utility of pharmacogenetic testing and directions for future research.
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Altar CA, Hornberger J, Shewade A, Cruz V, Garrison J, Mrazek D. Clinical validity of cytochrome P450 metabolism and serotonin gene variants in psychiatric pharmacotherapy. Int Rev Psychiatry 2013; 25:509-33. [PMID: 24151799 DOI: 10.3109/09540261.2013.825579] [Citation(s) in RCA: 58] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/13/2022]
Abstract
Adverse events, response failures and medication non-compliance are common in patients receiving medications for the treatment of mental illnesses. A systematic literature review assessed whether pharmacokinetic (PK) or pharmacodynamic (PD) responses to 26 commonly prescribed antipsychotic and antidepressant medications, including efficacy or side effects, are associated with nucleotide polymorphisms in eight commonly studied genes in psychiatric pharmacotherapy: CYP2D6, CYP2C19, CYP2C9, CYP1A2, CYP3A4, HTR2C, HTR2A, and SLC6A4. Of the 294 publications included in this review, 168 (57%) showed significant associations between gene variants and PK or PD outcomes. Other studies that showed no association often had insufficient control for confounding variables, such as co-medication use, or analysis of medications not substrates of the target gene. The strongest gene-outcome associations were for the PK profiles of CYP2C19 and CYP2D6 (93% and 90%, respectively), for the PD associations between HTR2C and weight gain (57%), and for SLC6A4 and clinical response (54%), with stronger SLC6A4 response associations for specific drug classes (60-83%). The preponderance of evidence supports the validity of analyzing nucleotide polymorphisms in CYP and pharmacodynamic genes to predict the metabolism, safety, or therapeutic efficacy of psychotropic medications commonly used for the treatment of depression, schizophrenia, and bipolar illness.
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20
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Müller DJ, Kekin I, Kao ACC, Brandl EJ. Towards the implementation of CYP2D6 and CYP2C19 genotypes in clinical practice: update and report from a pharmacogenetic service clinic. Int Rev Psychiatry 2013; 25:554-71. [PMID: 24151801 DOI: 10.3109/09540261.2013.838944] [Citation(s) in RCA: 52] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/13/2022]
Abstract
Genetic testing may help to improve treatment outcomes in order to avoid non-response or severe side effects to psychotropic medication. Most robust data have been obtained for gene variants in CYP2D6 and CYP2C19 enzymes for antipsychotics and antidepressant treatment. We reviewed original articles indexed in PubMed from 2008-2013 on CYP2D6 and CYP2C19 gene variants and treatment outcome to antidepressant or antipsychotic medication. We have started providing CYP2D6 and CYP2C19 genotype information to physicians and conducted a survey where preliminary results are reported. Studies provided mixed results regarding the impact of CYP2D6 and CYP2C19 gene variation on treatment response. Plasma levels were mostly found associated with CYP metabolizer status. Higher occurrence/severity of side effects were reported in non-extensive CYP2D6 or CYP2C19 metabolizers. Results showed that providing genotypic information is feasible and generally well accepted by both patients and physicians. Although currently available studies are limited by small sample sizes and infrequent plasma drug level assessment, research to date indicates that CYP2D6 and CYP2C19 testing may be beneficial particularly for non-extensive metabolizing patients. In summary, clinical assessment of CYP2D6 and CYP2C19 metabolizer status is feasible, well accepted and optimizes drug treatment in psychiatry.
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Affiliation(s)
- Daniel J Müller
- Pharmacogenetics Research Clinic, Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health , Toronto, Ontario , Canada
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21
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Ravyn D, Ravyn V, Lowney R, Nasrallah HA. CYP450 pharmacogenetic treatment strategies for antipsychotics: a review of the evidence. Schizophr Res 2013; 149:1-14. [PMID: 23870808 DOI: 10.1016/j.schres.2013.06.035] [Citation(s) in RCA: 77] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/27/2013] [Revised: 06/03/2013] [Accepted: 06/19/2013] [Indexed: 12/21/2022]
Abstract
Although a number of first- and second-generation antipsychotics are available, achieving optimal therapeutic response for patients with schizophrenia can be challenging. The presence of polymorphic alleles for cytochrome P (CYP) 450 may result in lack of expression, altered levels of expression, or altered function of CYP450 enzymes. CYP2D6, CYP1A2, and CYP3A4/5 are major enzymes in the metabolism of antipsychotics and polymorphisms of alleles for these proteins are associated with altered plasma levels. Consequently, standard dosing may result in drug plasma concentrations that are subtherapeutic or toxic in some patients. Patient CYP450 genotype testing can predict altered pharmacokinetics, and is currently available and relatively inexpensive. Evidence-based guidelines provide dose recommendations for some antipsychotics. To date few studies have demonstrated a significant association with genotype-guided antipsychotic use and clinical efficacy. However, many studies have been small, retrospective or cohort designs, and many have not been adequately powered. Numerous studies have shown a significant association between genotype and adverse effects, such as CYP2D6 polymorphisms and tardive dyskinesia. This review summarizes evidence for the role of CYP450 genetic variants in the response to antipsychotic medications and the clinical implications of pharmacogenetics in the management of patients with schizophrenia.
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Affiliation(s)
- Dana Ravyn
- CMEology, West Hartford, CT, United States
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22
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Influence of CYP2D6 and CYP2C19 gene variants on antidepressant response in obsessive-compulsive disorder. THE PHARMACOGENOMICS JOURNAL 2013; 14:176-81. [PMID: 23545896 DOI: 10.1038/tpj.2013.12] [Citation(s) in RCA: 39] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/11/2012] [Revised: 01/29/2013] [Accepted: 02/04/2013] [Indexed: 12/31/2022]
Abstract
Numerous studies have reported on pharmacogenetics of antidepressant response in depression. In contrast, little is known of response predictors in obsessive-compulsive disorder (OCD), a disorder with among the lowest proportion of responders to medication (40-60%). Our study is the largest investigation to date (N=184) of treatment response and side effects to antidepressants in OCD based on metabolizer status for CYP2D6 and CYP2C19. We observed significantly more failed medication trials in CYP2D6 non-extensive compared with extensive metabolizers (P=0.007). CYP2D6 metabolizer status was associated with side effects to venlafaxine (P=0.022). There were nonsignificant trends for association of CYP2D6 metabolizer status with response to fluoxetine (P=0.056) and of CYP2C19 metabolizer status with response to sertraline (P=0.064). Our study is the first to indicate that CYP genes may have a role in antidepressant response in OCD. More research is required for a future clinical application of genetic testing, which could lead to improved treatment outcomes.
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