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Ganesh SV, Beunk L, Nikolik B, van der Weide J, Bet PM. Therapeutic Drug Monitoring of Psychotropics as a Diagnostic Tool for CYP2D6 Poor Metabolizer Phenotype. Ther Drug Monit 2021; 43:672-680. [PMID: 33560096 DOI: 10.1097/ftd.0000000000000868] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/12/2020] [Accepted: 01/05/2021] [Indexed: 11/25/2022]
Abstract
BACKGROUND Interpatient variability in cytochrome P450 2D6 (CYP2D6) enzyme activity alters the serum concentrations of most psychotropics, which often have narrow therapeutic indices. Therefore, preemptive knowledge of CYP2D6 activity is desired. However, accessible indicators for deficient CYP2D6 activity are necessary because genotyping all patients prescribed CYP2D6 metabolized drugs is often not feasible or cost-effective. METHODS In this study, the predictive value of the ratio between a CYP2D6 substrate and its metabolite, known as the metabolic ratio (MR), the dose-corrected serum concentration of substrate (CDR), and the dose-corrected sum concentration of substrate and metabolite (Sum CDR) of venlafaxine, risperidone, aripiprazole, and nortriptyline were determined to predict the CYP2D6 poor metabolizer (PM) phenotype. The area-under-the-receiver operator characteristic curve, as well as the sensitivity, specificity, and positive and negative predictive values of the optimal thresholds, were calculated. RESULTS Although the MR, CDR, and Sum CDR all predicted the CYP2D6 PM phenotype, the predictive value of the MR was most robust for venlafaxine and aripiprazole, and the Sum CDR was inferior for all 3 psychotropics. MRs of venlafaxine, risperidone, and aripiprazole, and CDR of nortriptyline showed an area-under-the-receiver operator characteristics (95% confidence interval) of 97.2% (94.7%-99.6%), 93.0% (88.8%-97.2%), 97.8% (95.4%-100.0%), and 85.6% (78.0%-93.1%), respectively. Thresholds of the log(MR) of ≥0.1 for venlafaxine, ≥0.0 for risperidone, and ≥1.5 for aripiprazole, and log(CDR) ≥0.5 for nortriptyline produced >92% sensitivity and >64% specificity. CONCLUSIONS If therapeutic drug monitoring is available, the thresholds presented here could serve as a diagnostic tool for the CYP2D6 PM phenotype of psychiatric patients prescribed the aforementioned psychotropic medications.
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Affiliation(s)
- Soraya V Ganesh
- Department of Clinical Pharmacology and Pharmacy, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam ; and
| | - Lianne Beunk
- Department of Clinical Chemistry, St Jansdal Hospital, Harderwijk, the Netherlands
| | - Bojan Nikolik
- Department of Clinical Pharmacology and Pharmacy, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam ; and
| | - Jan van der Weide
- Department of Clinical Chemistry, St Jansdal Hospital, Harderwijk, the Netherlands
| | - Pierre M Bet
- Department of Clinical Pharmacology and Pharmacy, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam ; and
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Milosavljević F, Bukvić N, Pavlović Z, Miljević Č, Pešić V, Molden E, Ingelman-Sundberg M, Leucht S, Jukić MM. Association of CYP2C19 and CYP2D6 Poor and Intermediate Metabolizer Status With Antidepressant and Antipsychotic Exposure: A Systematic Review and Meta-analysis. JAMA Psychiatry 2021; 78:270-280. [PMID: 33237321 PMCID: PMC7702196 DOI: 10.1001/jamapsychiatry.2020.3643] [Citation(s) in RCA: 85] [Impact Index Per Article: 28.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
IMPORTANCE Precise estimation of the drug metabolism capacity for individual patients is crucial for adequate dose personalization. OBJECTIVE To quantify the difference in the antipsychotic and antidepressant exposure among patients with genetically associated CYP2C19 and CYP2D6 poor (PM), intermediate (IM), and normal (NM) metabolizers. DATA SOURCES PubMed, Clinicaltrialsregister.eu, ClinicalTrials.gov, International Clinical Trials Registry Platform, and CENTRAL databases were screened for studies from January 1, 1990, to June 30, 2020, with no language restrictions. STUDY SELECTION Two independent reviewers performed study screening and assessed the following inclusion criteria: (1) appropriate CYP2C19 or CYP2D6 genotyping was performed, (2) genotype-based classification into CYP2C19 or CYP2D6 NM, IM, and PM categories was possible, and (3) 3 patients per metabolizer category were available. DATA EXTRACTION AND SYNTHESIS The Meta-analysis of Observational Studies in Epidemiology (MOOSE) guidelines were followed for extracting data and quality, validity, and risk of bias assessments. A fixed-effects model was used for pooling the effect sizes of the included studies. MAIN OUTCOMES AND MEASURES Drug exposure was measured as (1) dose-normalized area under the plasma level (time) curve, (2) dose-normalized steady-state plasma level, or (3) reciprocal apparent total drug clearance. The ratio of means (RoM) was calculated by dividing the mean drug exposure for PM, IM, or pooled PM plus IM categories by the mean drug exposure for the NM category. RESULTS Based on the data derived from 94 unique studies and 8379 unique individuals, the most profound differences were observed in the patients treated with aripiprazole (CYP2D6 PM plus IM vs NM RoM, 1.48; 95% CI, 1.41-1.57; 12 studies; 1038 patients), haloperidol lactate (CYP2D6 PM vs NM RoM, 1.68; 95% CI, 1.40-2.02; 9 studies; 423 patients), risperidone (CYP2D6 PM plus IM vs NM RoM, 1.36; 95% CI, 1.28-1.44; 23 studies; 1492 patients), escitalopram oxalate (CYP2C19 PM vs NM, RoM, 2.63; 95% CI, 2.40-2.89; 4 studies; 1262 patients), and sertraline hydrochloride (CYP2C19 IM vs NM RoM, 1.38; 95% CI, 1.27-1.51; 3 studies; 917 patients). Exposure differences were also observed for clozapine, quetiapine fumarate, amitriptyline hydrochloride, mirtazapine, nortriptyline hydrochloride, fluoxetine hydrochloride, fluvoxamine maleate, paroxetine hydrochloride, and venlafaxine hydrochloride; however, these differences were marginal, ambiguous, or based on less than 3 independent studies. CONCLUSIONS AND RELEVANCE In this systematic review and meta-analysis, the association between CYP2C19/CYP2D6 genotype and drug levels of several psychiatric drugs was quantified with sufficient precision as to be useful as a scientific foundation for CYP2D6/CYP2C19 genotype-based dosing recommendations.
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Affiliation(s)
- Filip Milosavljević
- Department of Physiology, Faculty of Pharmacy, University of Belgrade, Belgrade, Serbia
| | - Nikola Bukvić
- Department of Physiology, Faculty of Pharmacy, University of Belgrade, Belgrade, Serbia
| | - Zorana Pavlović
- Department of Psychiatry, Faculty of Medicine, University of Belgrade, Belgrade, Serbia,Psychiatry Clinic, Clinical Centre of Serbia, Belgrade
| | - Čedo Miljević
- Department of Psychiatry, Faculty of Medicine, University of Belgrade, Belgrade, Serbia,Institute for Mental Health, Belgrade, Belgrade, Serbia
| | - Vesna Pešić
- Department of Physiology, Faculty of Pharmacy, University of Belgrade, Belgrade, Serbia
| | - Espen Molden
- Department of Pharmacokinetics, University of Oslo Pharmacy School, Oslo, Norway
| | - Magnus Ingelman-Sundberg
- Pharmacogenetics Section, Department of Physiology and Pharmacology, Karolinska Institutet, Solna, Sweden
| | - Stefan Leucht
- Department of Psychiatry and Psychotherapy, Technische Universität München School of Medicine, Munich, Germany
| | - Marin M. Jukić
- Department of Physiology, Faculty of Pharmacy, University of Belgrade, Belgrade, Serbia,Pharmacogenetics Section, Department of Physiology and Pharmacology, Karolinska Institutet, Solna, Sweden
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3
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Hongkaew Y, Gaedigk A, Wilffert B, Ngamsamut N, Kittitharaphan W, Limsila P, Sukasem C. Relationship between CYP2D6 genotype, activity score and phenotype in a pediatric Thai population treated with risperidone. Sci Rep 2021; 11:4158. [PMID: 33603025 PMCID: PMC7892547 DOI: 10.1038/s41598-021-83570-w] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/13/2020] [Accepted: 02/04/2021] [Indexed: 12/29/2022] Open
Abstract
Recently, the Clinical Pharmacogenetics Implementation Consortium (CPIC) have revised recommendations for the translation of CYP2D6 genotype to phenotype. Changes affect phenotype grouping, as well as the value used to calculate activity score for the CYP2D6*10 allele to better reflect the substantially decreased activity of this allele which is the most frequent allele found in Asian populations. This study aimed to evaluate whether the lower value for CYP2D6*10 as recommended, and the revised phenotype groupings improve the relationship between CYP2D6 genotype and risperidone measures. One hundred and ninety-nine children and adolescents with autism treated with a risperidone-based regimen for at least four weeks were included. CYP2D6 genotype was determined using the Luminex xTAG CYP2D6 Kit assay and translated into phenotype using different translation methods. Plasma concentrations of risperidone and 9-hydroxyrisperidone were measured using LC/MS/MS. Plasma levels of risperidone, risperidone concentration/dose ratio, and risperidone/9-hydroxyrisperidone ratio in patients with an activity score < 1 were significantly higher than those ≥ 1 (P value < 0.001 for all three parameters). Plasma risperidone levels and risperidone concentration/dose ratios were significantly higher in intermediate metabolizers (defined as AS = 0.25–0.75) than normal metabolizer (defined as AS = 1–2) patients (1.44 vs. 0.23 ng/ml, P < 0.001 and 1.63 vs. 0.29 ng/ml/ng, P < 0.001, respectively) as well as risperidone/9-hydroxyrisperidone ratio (0.20 vs. 0.04, P < 0.001). This is the first study in an Asian population utilizing the revised CPIC-recommended method for translating the CYP2D6 genotype to phenotype. In addition to validating that CYP2D6 genetic variation significantly impacts risperidone metabolism, we demonstrated that revised value for the CYP2D6*10 was superior for genotype to phenotype translation. However, at least for risperidone, subjects with an activity score of 1 presented as phenotypic normal, and not intermediate metabolizers, suggesting that phenotype classification is substrate dependent.
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Affiliation(s)
- Yaowaluck Hongkaew
- Division of Pharmacogenomics and Personalized Medicine, Department of Pathology, Faculty of Medicine Ramathibodi Hospital, Mahidol University, Bangkok, 10400, Thailand.,Laboratory for Pharmacogenomics, Somdech Phra Debaratana Medical Center (SDMC), Ramathibodi Hospital, Bangkok, Thailand.,Advanced Research and Development Laboratory, Bumrungrad International Hospital, Bangkok, Thailand
| | - Andrea Gaedigk
- Division of Clinical Pharmacology, Toxicology and Therapeutic Innovation, Children's Mercy Kansas City, Kansas City, MO, USA.,School of Medicine, University of Missouri-Kansas City, Kansas City, MO, USA
| | - Bob Wilffert
- Unit of PharmacoTherapy, -Epidemiology and -Economics, Groningen Research Institute of Pharmacy, University of Groningen, Groningen, The Netherlands.,Department of Clinical Pharmacy and Pharmacology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Nattawat Ngamsamut
- Yuwaprasart Waithayopathum Child and Adolescent Psychiatric Hospital, Department of Mental Health Services, Ministry of Public Health, Samut Prakan, Thailand
| | - Wiranpat Kittitharaphan
- Yuwaprasart Waithayopathum Child and Adolescent Psychiatric Hospital, Department of Mental Health Services, Ministry of Public Health, Samut Prakan, Thailand
| | - Penkhae Limsila
- Yuwaprasart Waithayopathum Child and Adolescent Psychiatric Hospital, Department of Mental Health Services, Ministry of Public Health, Samut Prakan, Thailand
| | - Chonlaphat Sukasem
- Division of Pharmacogenomics and Personalized Medicine, Department of Pathology, Faculty of Medicine Ramathibodi Hospital, Mahidol University, Bangkok, 10400, Thailand. .,Laboratory for Pharmacogenomics, Somdech Phra Debaratana Medical Center (SDMC), Ramathibodi Hospital, Bangkok, Thailand.
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Carvalho Henriques B, Yang EH, Lapetina D, Carr MS, Yavorskyy V, Hague J, Aitchison KJ. How Can Drug Metabolism and Transporter Genetics Inform Psychotropic Prescribing? Front Genet 2020; 11:491895. [PMID: 33363564 PMCID: PMC7753050 DOI: 10.3389/fgene.2020.491895] [Citation(s) in RCA: 20] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2019] [Accepted: 09/25/2020] [Indexed: 12/11/2022] Open
Abstract
Many genetic variants in drug metabolizing enzymes and transporters have been shown to be relevant for treating psychiatric disorders. Associations are strong enough to feature on drug labels and for prescribing guidelines based on such data. A range of commercial tests are available; however, there is variability in included genetic variants, methodology, and interpretation. We herein provide relevant background for understanding clinical associations with specific variants, other factors that are relevant to consider when interpreting such data (such as age, gender, drug-drug interactions), and summarize the data relevant to clinical utility of pharmacogenetic testing in psychiatry and the available prescribing guidelines. We also highlight areas for future research focus in this field.
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Affiliation(s)
| | - Esther H. Yang
- Department of Psychiatry, University of Alberta, Edmonton, AB, Canada
- Department of Medical Genetics, University of Alberta, Edmonton, AB, Canada
| | - Diego Lapetina
- Department of Psychiatry, University of Alberta, Edmonton, AB, Canada
- Department of Medical Genetics, University of Alberta, Edmonton, AB, Canada
| | - Michael S. Carr
- Department of Psychiatry, University of Alberta, Edmonton, AB, Canada
| | - Vasyl Yavorskyy
- Department of Psychiatry, University of Alberta, Edmonton, AB, Canada
| | - Joshua Hague
- Department of Psychiatry, University of Alberta, Edmonton, AB, Canada
- Department of Medical Genetics, University of Alberta, Edmonton, AB, Canada
| | - Katherine J. Aitchison
- Department of Psychiatry, University of Alberta, Edmonton, AB, Canada
- Department of Medical Genetics, University of Alberta, Edmonton, AB, Canada
- Neuroscience and Mental Health Institute, University of Alberta, Edmonton, AB, Canada
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Evaluation of Correlation Between the Pharmacogenetic Profiles of Risperidone Treated Psychiatry Patients with Plasma and Urine Concentration of Risperidone and its Active Moiety 9-OH Risperidone Determined with Optimized Bioanalytical LC Method. Pril (Makedon Akad Nauk Umet Odd Med Nauki) 2018; 39:97-106. [PMID: 30864366 DOI: 10.2478/prilozi-2018-0047] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022]
Abstract
Atypical antipsychotic risperidone is widely used first-line monotherapy in schizophrenia and combined therapy in bipolar disorders. Therapeutic plasma concentrations of risperidone and its active moiety are directly influenced by genetic variations in metabolic CYP450 enzymes (CYP2D6 and CYP3A4/5) and transporter (ABCB1) protein and additional environmental factors. Since active metabolite 9-OH risperidone has a greater percentage of the pharmacologically active fraction and is equipotent to the parent drug risperidone, it is assumed that it contributes significantly to therapeutic and adverse effects. Unpredictable dose/concentration ratio, narrow therapeutic index, number of interactions, along with serious adverse reactions (ADR), raises the need for individualization of risperidone treatment and establishing of good therapeutic regime using TDM. A simple and reliable validated bioanalytical liquide-liquide extraction HPLC/UV method was applied for the simultaneous determination of risperidone and its active metabolite, 9-OH risperidone, in human plasma and urine of 52 hospitalized schizophrenia/bipolar disorder patients treated with risperidone as monotherapy and in polytherapy. All the patients were previously genotyped for CYP2D6 (EM=30, EM/IM=14, IM=4 IM/PM=1 and PM=3) and ABCB1 using Real-Time PCR methods with TaqMan SNP genotyping suitable assays according to the guidelines of the manufacturer (Life Technologies, USA).The influence of CYP2D6 phenotype on metabolic ratio MR (Ris/9-OHRis) in plasma (p=0.012) and in urine (p=0.048) was confirmed. Statistically significant correlation (R2=55.53%, Rho=0.844, p<0,0001) for MR in both plasma and urine indicates that urine may be utilized as appropriate media for initial CYP2D6 phenotype identification and selection of patients on risperidone treatment with high risk for ADR.
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Mas S, Gassó P, Torra M, Bioque M, Lobo A, González-Pinto A, Olmeda MS, Corripio I, Vieta E, Castro-Fornieles J, Rodriguez-Jimenez R, Bobes J, Usall J, Llerena A, Saiz-Ruiz J, Bernardo M, Lafuente A, PEPs Group. Intuitive pharmacogenetic dosing of risperidone according to CYP2D6 phenotype extrapolated from genotype in a cohort of first episode psychosis patients. Eur Neuropsychopharmacol 2017; 27:647-656. [PMID: 28389049 DOI: 10.1016/j.euroneuro.2017.03.012] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/10/2016] [Revised: 01/18/2017] [Accepted: 03/23/2017] [Indexed: 12/29/2022]
Abstract
Risperidone (R) is the most prescribed antipsychotic drug for patients with a first episode of psychosis (FEP). In a naturalistic cohort of chronic psychiatric inpatients, we demonstrated that clinicians adjust R dosage by CYP2D6 activity, despite being blinded to the genotype, which we described as an "intuitive pharmacogenetic" process. The aim of the present study is to replicate our previous findings of intuitive pharmacogenetic in a cohort of FEP patients using CYP2D6 phenotype extrapolated from genotypes. 70 FEP patients, under baseline treatment with R monotherapy were genotyped using the iPLEX® ADME PGx multiplex panel and TaqMan® Genotyping and Copy Number Assays. Plasma concentrations of R and its metabolite, 9-hydroxyrisperidone (9-OH), were determined. The predictive properties of those variables associated with R dosage were tested using a multiple linear regression model as well as regression trees. Significant differences in the mean daily dosage of R among CYP2D6 phenotypes were observed (Kruskal-Wallis test p=0.02): PM (4.00±2.3mg/mL), IM (4.56±2.44), EM (6.22±4.0mg/day) and UM (10.20±4.91mg/day). However, non-significant differences were observed in the R/9-OH ratio or in the Concentration/Dose ratio. Regression tree provided better estimations of R dosage than the multiple linear regression model (MAE=0.958 and R2=0.871). We confirm the "intuitive pharmacogenetic" dosing of R according to the CYP2D6 phenotype in a FEP cohort. The results presented provides a rationale for the clinical use of CYP2D6 genotyping in personalized medicine.
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Affiliation(s)
- Sergi Mas
- Dept. Pathological Anatomy, Pharmacology and Microbiology, University of Barcelona, Spain; Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain; Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Spain.
| | - Patricia Gassó
- Dept. Pathological Anatomy, Pharmacology and Microbiology, University of Barcelona, Spain; Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain; Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Spain
| | - Mercé Torra
- Pharmacology and Toxicology Department, CDB, Hospital Clínic de Barcelona, Barcelona, Spain
| | - Miquel Bioque
- Barcelona Clínic Schizophrenia Unit, Hospital Clínic de Barcelona, IDIBAPS, Barcelona, Spain; CIBERSAM, Barcelona, Spain
| | - Antonio Lobo
- Instituto de Investigación Sanitaria Aragón (IIS Aragón), Dept. of Medicine and Psychiatry, University Zaragoza, CIBERSAM, Spain
| | - Ana González-Pinto
- BIOARABA Health Research Institute, OSI Araba. University Hospital, University of the Basque Country, CIBERSAM, Vitoria, Spain
| | | | - Iluminada Corripio
- Department of Psychiatry, Hospital de Sant Pau, Barcelona, Spain; CIBERSAM, Barcelona, Spain
| | - Eduard Vieta
- Institute of Neuroscience, Hospital Clínic, University of Barcelona, IDIBAPS, CIBERSAM, Barcelona, Spain
| | - Josefina Castro-Fornieles
- Department of Child and Adolescent Psychiatry and Psychology, SGR489, Institute of Neuroscience, Hospital Clínic of Barcelona, IDIBAPS, CIBERSAM, Department of Psychiatry and Clinical Psychobiology, University of Barcelona, Barcelona, Spain
| | | | - Julio Bobes
- Psychiatry Department, University of Oviedo, Oviedo, Spain; CIBERSAM, Barcelona, Spain
| | - Judith Usall
- Research Unit, Parc Sanitari Sant Joan de Déu, Sant Boi de Llobregat, Barcelona, Spain; CIBERSAM, Barcelona, Spain
| | - Adrián Llerena
- CICAB Clinical Research Center, Extremadura University Hospital and Medical School, Servicio Extremeño de Salud, Badajoz, Spain; CIBERSAM, Barcelona, Spain
| | - Jerónimo Saiz-Ruiz
- Hospital Ramon y Cajal, Universidad de Alcala, IRYCIS, CIBERSAM, Madrid, Spain
| | - Miguel Bernardo
- Barcelona Clínic Schizophrenia Unit, Hospital Clínic de Barcelona, IDIBAPS, Barcelona, Spain; Dept. Psychiatry and Clinical Psychobiology, University of Barcelona, Spain; CIBERSAM, Barcelona, Spain
| | - Amalia Lafuente
- Dept. Pathological Anatomy, Pharmacology and Microbiology, University of Barcelona, Spain; Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain; Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Spain
| | - PEPs Group
- Dept. Pathological Anatomy, Pharmacology and Microbiology, University of Barcelona, Spain; Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain; Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Spain; Psychiatry Department, Hospital General Universitario Gregorio Marañón, Spain; Child and Adolescent Psychiatry Department, Hospital General Universitario Gregorio Marañón, School of Medicine, Universidad Complutense, IiSGM, CIBERSAM, Madrid, Spain; Department of Psychiatry, Hospital de Sant Pau, Barcelona, Spain; BIOARABA Health Research Institute, OSI Araba. University Hospital, University of the Basque Country, CIBERSAM, Vitoria, Spain; Instituto de Investigación Sanitaria Aragón (IIS Aragón), Dept. of Medicine and Psychiatry, University Zaragoza, CIBERSAM, Spain; Clinic Hospital Valencia, INCLIVA, Valencia University, CIBERSAM, Spain; Hospital del Mar Medical Research Institute (IMIM), Barcelona, Universitat Autonoma de Barcelona, Barcelona. CIBERSAM, Spain; Institute of Neuroscience, Hospital Clínic, University of Barcelona, IDIBAPS, CIBERSAM, Barcelona, Spain; Department of Child and Adolescent Psychiatry and Psychology, SGR489, Institute of Neuroscience, Hospital Clínic of Barcelona, IDIBAPS, CIBERSAM, Spain; Psychiatry Department, Bellvitge University Hospital-IDIBELL, Barcelona, Spain; Department of Clinical Sciences, School of Medicine, University of Barcelona, Barcelona, Spain; Psychiatry Department, University of Oviedo, Oviedo, Spain; Araba University Hospital, Bioaraba Research Institute, Vitoria, Spain; University of the Basque Country (UPV/EHU), Department of Neurosciences. CIBERSAM, Spain; Cruces University Hospital, Department of Psychiatry, BioCruces Health Research Institute, Vizcaya, Spain; Instituto de Investigación Hospital 12 de Octubre (i+12), Madrid, Spain; CIBERSAM, Barcelona, Spain; Research Unit, Parc Sanitari Sant Joan de Déu, Sant Boi de Llobregat, Barcelona, Spain; FIDMAG Hermanas Hospitalarias Research Foundation, Barcelona, Spain; Neuroscience Research Australia, Sydney, NSW, Australia; School of Medical Sciences, University of New South Wales, Sydney, NSW, Australia; ARC Centre of Excellence in Cognition and its Disorders, Sydney, NSW, Australia; Hospital Ramon y Cajal, Universidad de Alcala, IRYCIS, CIBERSAM, Madrid, Spain; Department of Psychiatry, Complejo Hospitalario de Navarra, Pamplona, Spain; Instituto de Investigación Sanitaria de Navarra (IdiSNA), Spain; Mental Health Centre of Catarroja, University of Valencia, CIBERSAM, Spain
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Vanwong N, Ngamsamut N, Medhasi S, Puangpetch A, Chamnanphon M, Tan-Kam T, Hongkaew Y, Limsila P, Sukasem C. Impact of CYP2D6 Polymorphism on Steady-State Plasma Levels of Risperidone and 9-Hydroxyrisperidone in Thai Children and Adolescents with Autism Spectrum Disorder. J Child Adolesc Psychopharmacol 2017; 27:185-191. [PMID: 26780783 DOI: 10.1089/cap.2014.0171] [Citation(s) in RCA: 26] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/08/2023]
Abstract
OBJECTIVE The purpose of this study was to investigate the influence of CYP2D6 gene polymorphisms on plasma concentrations of risperidone and its metabolite in Thai children and adolescents with autism spectrum disorder (ASD). METHODS All 97 autism spectrum disorder patients included in this study had been receiving risperidone at least for 1 month. The CYP2D6 genotypes were determined by real-time polymerase chain reaction (PCR)-based allelic discrimination for CYP2D6*4, *10, and *41 alleles. Plasma concentrations of risperidone and 9-hydroxyrisperidone were measured using liquid chromatography-tandem mass spectrometry (LC-MS/MS). RESULTS Among the 97 patients, the most important nonfunctional alleles (CYP2D6*4 and *5) were detected, whereas the most common allele was CYP2D6*10 (55.9%). CYP2D6 genotyping revealed 90 (92.78%) patients to be extensive metabolizers (EM) and 7 (7.22%) to be intermediate metabolizers (IM). Plasma levels of risperidone were significantly higher in individuals with CYP2D6*5/*10 (p = 0.02), CYP2D6*10/*10 (p = 0.04), and CYP2D6*10/*41 (p = 0.04). Additionally, the plasma concentration of risperidone/9-OH risperidone ratio in patients with a CYP2D6 activity score of 0.5 were significantly higher than those with a CYP2D6 activity score of 2 (p = 0.04). Conversely, no significant influence was found among CYP2D6 polymorphisms, plasma concentrations of 9-hydroxyrisperidone, and the total active moiety. CONCLUSIONS This is the first study to investigate the effects of CYP2D6 genetic polymorphisms on the plasma concentrations of risperidone in Thai children with ASD. The findings indicate that CYP2D6 polymorphisms affect the plasma concentrations of risperidone and the risperidone/9-hydroxyrisperidone ratio. Genetic screening for CYP2D6 polymorphisms could help to predict unexpected adverse events caused by the higher plasma concentration of risperidone.
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Affiliation(s)
- Natchaya Vanwong
- 1 Division of Pharmacogenomics and Personalized Medicine, Department of Pathology, Faculty of Medicine, Ramathibodi Hospital, Mahidol University , Bangkok, Thailand .,2 Laboratory for Pharmacogenomics, Somdech Phra Debaratana Medical Center (SDMC) , Ramathibodi Hospital, Bangkok, Thailand
| | - Nattawat Ngamsamut
- 3 Yuwaprasart Waithayopathum Child and Adolescent Psychiatric Hospital , Department of Mental Health Services, Ministry of Public Health, Muang, Samutprakan, Thailand
| | - Sadeep Medhasi
- 2 Laboratory for Pharmacogenomics, Somdech Phra Debaratana Medical Center (SDMC) , Ramathibodi Hospital, Bangkok, Thailand .,4 Department of Pharmacology, Faculty of Science, Mahidol University , Bangkok, Thailand
| | - Apichaya Puangpetch
- 1 Division of Pharmacogenomics and Personalized Medicine, Department of Pathology, Faculty of Medicine, Ramathibodi Hospital, Mahidol University , Bangkok, Thailand .,2 Laboratory for Pharmacogenomics, Somdech Phra Debaratana Medical Center (SDMC) , Ramathibodi Hospital, Bangkok, Thailand
| | - Montri Chamnanphon
- 1 Division of Pharmacogenomics and Personalized Medicine, Department of Pathology, Faculty of Medicine, Ramathibodi Hospital, Mahidol University , Bangkok, Thailand .,2 Laboratory for Pharmacogenomics, Somdech Phra Debaratana Medical Center (SDMC) , Ramathibodi Hospital, Bangkok, Thailand
| | - Teerarat Tan-Kam
- 3 Yuwaprasart Waithayopathum Child and Adolescent Psychiatric Hospital , Department of Mental Health Services, Ministry of Public Health, Muang, Samutprakan, Thailand
| | - Yaowaluck Hongkaew
- 1 Division of Pharmacogenomics and Personalized Medicine, Department of Pathology, Faculty of Medicine, Ramathibodi Hospital, Mahidol University , Bangkok, Thailand .,2 Laboratory for Pharmacogenomics, Somdech Phra Debaratana Medical Center (SDMC) , Ramathibodi Hospital, Bangkok, Thailand
| | - Penkhae Limsila
- 3 Yuwaprasart Waithayopathum Child and Adolescent Psychiatric Hospital , Department of Mental Health Services, Ministry of Public Health, Muang, Samutprakan, Thailand
| | - Chonlaphat Sukasem
- 1 Division of Pharmacogenomics and Personalized Medicine, Department of Pathology, Faculty of Medicine, Ramathibodi Hospital, Mahidol University , Bangkok, Thailand .,2 Laboratory for Pharmacogenomics, Somdech Phra Debaratana Medical Center (SDMC) , Ramathibodi Hospital, Bangkok, Thailand
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Risperidone and Venlafaxine Metabolic Ratios Strongly Predict a CYP2D6 Poor Metabolizing Genotype. Ther Drug Monit 2016; 38:127-34. [DOI: 10.1097/ftd.0000000000000251] [Citation(s) in RCA: 23] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
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Effects of CYP3A4 polymorphisms on the plasma concentration of voriconazole. Eur J Clin Microbiol Infect Dis 2014; 34:811-9. [PMID: 25515945 DOI: 10.1007/s10096-014-2294-5] [Citation(s) in RCA: 32] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/04/2014] [Accepted: 11/26/2014] [Indexed: 10/24/2022]
Abstract
Voriconazole is frequently utilized for the prevention and treatment of invasive fungal infections (IFIs), and is extensively metabolized by the cytochrome P450 (CYP) system. The impact of activity of the genes encoding CYP3A4, CYP3A5, and CYP2C9 on the pharmacokinetics of voriconazole cannot be ignored because, second to CYP2C19, they are the most important enzymes involved in voriconazole metabolism. The influence of genetic polymorphisms in CYP3A4, CYP3A5, and CYP2C9 on the plasma concentrations of voriconazole was evaluated in the present study. The study cohort comprised 158 patients with IFIs in whom 22 single-nucleotide polymorphisms (SNPs) in CYP3A4, CYP3A5, and CYP2C9 were genotyped using the Sequenom MassARRAY RS1000 system, and voriconazole plasma concentrations were measured by high-performance liquid chromatography (HPLC). 40, 91, and 27 patients presented with low (<1 mg/L), normal (1-4 mg/L), and high (>4 mg/L) plasma voriconazole concentrations, respectively. Correlation analysis between polymorphisms and the plasma voriconazole concentration revealed an association between the presence of the rs4646437 T allele and a higher plasma voriconazole concentration [p = 0.033, odds ratio (OR) = 2.832, 95% confidence interval (CI) = 1.086-7.384]. This study has identified a new SNP related to the metabolism of voriconazole, potentially providing novel insight into the influence of CYP3A4 on the pharmacokinetics of this antifungal agent.
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