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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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Alladi CG, RajKumar RP, Adithan S, Marie‐Claire C, Bellivier F, Shewade DG. Dopamine (
DRD
2
) and Serotonin (
HTR
2A, 2C)
Receptor Gene Polymorphisms do not influence early response to Risperidone in South Indian Patients with Schizophrenia. Fundam Clin Pharmacol 2018; 33:355-364. [DOI: 10.1111/fcp.12424] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2018] [Revised: 08/27/2018] [Accepted: 10/11/2018] [Indexed: 11/28/2022]
Affiliation(s)
- Charanraj Goud Alladi
- Department of Pharmacology Jawaharlal Institute of Post‐graduate Medical Education and Research Puducherry 605006 India
- Inserm, U1144 Paris F‐75006 France
- Université Sorbonne Paris Cité UMR‐S 1144 Paris F‐75006 France
| | - Ravi Philip RajKumar
- Department of Psychiatry Jawaharlal Institute of Post‐graduate Medical Education and Research Puducherry 605006 India
| | - Surendiran Adithan
- Department of Pharmacology Jawaharlal Institute of Post‐graduate Medical Education and Research Puducherry 605006 India
| | - Cynthia Marie‐Claire
- Inserm, U1144 Paris F‐75006 France
- Université Sorbonne Paris Cité UMR‐S 1144 Paris F‐75006 France
| | - Frank Bellivier
- Inserm, U1144 Paris F‐75006 France
- Université Sorbonne Paris Cité UMR‐S 1144 Paris F‐75006 France
- AP‐HP GH Saint‐Louis ‐ Lariboisière–F. Widal Pôle de Psychiatrie et de Médecine Addictologique 75475 Paris cedex 10 France
- Fondation FondaMental Créteil 94000 France
| | - Deepak Gopal Shewade
- Department of Pharmacology Jawaharlal Institute of Post‐graduate Medical Education and Research Puducherry 605006 India
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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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Abstract
Today, considering their adverse side effects, the first-generation antipsychotics have been replaced by the new-generation antipsychotics (also known as second-generation antipsychotic agents). The superiority of new-generation antipsychotics compared with first-generation antipsychotic agents in terms of side effects, especially movement disorders, are acknowledged by clinicians. But in recent years during the use of second-generation antipsychotic agents, endocrine side effects have been noteworthy. In our study with a diagnosis of paranoid schizophrenia treated with risperidone for 14 years and operated with the diagnosis of pituitary macroadenoma, a 32-year-old female patient is presented in the light of the literature examining the framework of the history of disease.
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Windemuth A, de Leon J, Goethe JW, Schwartz HI, Woolley S, Susce M, Kocherla M, Bogaard K, Holford TR, Seip RL, Ruaño G. Validation of candidate genes associated with cardiovascular risk factors in psychiatric patients. Prog Neuropsychopharmacol Biol Psychiatry 2012; 36:213-9. [PMID: 21851846 PMCID: PMC4912220 DOI: 10.1016/j.pnpbp.2011.08.001] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/13/2011] [Revised: 07/30/2011] [Accepted: 08/01/2011] [Indexed: 01/11/2023]
Abstract
The purpose of this study was to identify genetic variants predictive of cardiovascular risk factors in a psychiatric population treated with second generation antipsychotics (SGA). 924 patients undergoing treatment for severe mental illness at four US hospitals were genotyped at 1.2 million single nucleotide polymorphisms. Patients were assessed for fasting serum lipid (low density lipoprotein cholesterol [LDLc], high density lipoprotein cholesterol [HDLc], and triglycerides) and obesity phenotypes (body mass index, BMI). Thirteen candidate genes from previous studies of the same phenotypes in non-psychiatric populations were tested for association. We confirmed 8 of the 13 candidate genes at the 95% confidence level. An increased genetic effect size was observed for triglycerides in the psychiatric population compared to that in the cardiovascular population.
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Affiliation(s)
- Andreas Windemuth
- Genomas, Inc. and Genetics Research Center, Hartford Hospital, Hartford, CT 06106, USA
| | - Jose de Leon
- Mental Health Research Center at Eastern State Hospital and the Department of Psychiatry, College of Medicine, University of Kentucky, Lexington, KY 40508, USA
| | - John W. Goethe
- Institute of Living, Hartford Hospital, Hartford, CT 06106, USA
| | | | - Stephen Woolley
- Institute of Living, Hartford Hospital, Hartford, CT 06106, USA
| | - Margaret Susce
- Mental Health Research Center at Eastern State Hospital and the Department of Psychiatry, College of Medicine, University of Kentucky, Lexington, KY 40508, USA
| | - Mohan Kocherla
- Genomas, Inc. and Genetics Research Center, Hartford Hospital, Hartford, CT 06106, USA
| | - Kali Bogaard
- Genomas, Inc. and Genetics Research Center, Hartford Hospital, Hartford, CT 06106, USA
| | | | - Richard L. Seip
- Genomas, Inc. and Genetics Research Center, Hartford Hospital, Hartford, CT 06106, USA
| | - Gualberto Ruaño
- Genomas, Inc. and Genetics Research Center, Hartford Hospital, Hartford, CT 06106, USA,Corresponding author at: Genetics Research Center, Hartford Hospital, 67 Jefferson Street, Hartford, CT 06106, USA. Tel.: +1 860 545 4574; fax: +1 860 545 4575. (G. Ruaño)
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Dean B. Dissecting the Syndrome of Schizophrenia: Progress toward Clinically Useful Biomarkers. SCHIZOPHRENIA RESEARCH AND TREATMENT 2011; 2011:614730. [PMID: 22937270 PMCID: PMC3420453 DOI: 10.1155/2011/614730] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/18/2010] [Revised: 03/28/2011] [Accepted: 04/07/2011] [Indexed: 12/17/2022]
Abstract
The search for clinically useful biomarkers has been one of the holy grails of schizophrenia research. This paper will outline the evolving notion of biomarkers and then outline outcomes from a variety of biomarkers discovery strategies. In particular, the impact of high-throughput screening technologies on biomarker discovery will be highlighted and how new or improved technologies may allow the discovery of either diagnostic biomarkers for schizophrenia or biomarkers that will be useful in determining appropriate treatments for people with the disorder. History tells those involved in biomarker research that the discovery and validation of useful biomarkers is a long process and current progress must always be viewed in that light. However, the approval of the first biomarker screen with some value in predicting responsiveness to antipsychotic drugs suggests that biomarkers can be identified and that these biomarkers that will be useful in diagnosing and treating people with schizophrenia.
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Affiliation(s)
- Brian Dean
- The Rebecca L. Cooper Research Laboratories, The Mental Health Research Institute, Locked bag 11, Parkville, VIC 3052, Australia
- The Department of Psychiatry, The University of Melbourne, Parkville, VIC 3052, Australia
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