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 R=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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http://dx.doi.org/10.1016/j.euroneuro.2017.03.012 | DOI Listing |
BMC Med Genomics
December 2024
Pharmaceutical Care, Department of Pharmaceutical Sciences, University of Basel, Basel, Switzerland.
Background: Postoperative pain is a common complication following surgery, with severity and duration varying between patients. Chronic postoperative pain after inguinal hernia surgery has an incidence rate of approximately 10%. Risk factors for acute and chronic pain following hernia surgery include age, sex, psychosocial factors, and demographic background.
View Article and Find Full Text PDFClin Pharmacol Ther
December 2024
The Mathison Centre for Mental Health Research & Education, Hotchkiss Brain Institute, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada.
Pharmacogenetics-predicted drug metabolism may not match clinically observed metabolism due to a phenomenon known as phenoconversion. Phenoconversion can occur when an inhibitor or inducer of a drug-metabolizing enzyme is present. Although estimates of phenoconversion in adult populations are available, prevalence estimates in youth populations are limited.
View Article and Find Full Text PDFClin Transl Sci
December 2024
Department of Experimental and Clinical Pharmacology, College of Pharmacy, University of Minnesota, Minneapolis, Minnesota, USA.
Food Chem Toxicol
December 2024
NuMeCan Institute (Nutrition, Metabolisms and Cancer), CHU Rennes, Univ Rennes, INSERM, INRAE, UMR_A 1341, UMR_S 1317, F-35000, Rennes, France; Rennes University Hospital, Pharmacy department, F-35033, Rennes, France. Electronic address:
Very few quantitative data exist on tramadol metabolites, which hampers our understanding of their role in efficacy and safety of tramadol. We aimed to provide quantitative data on tramadol and its 5 main metabolites in a patient cohort and to determine whether metabolite ratios can be predictive of a CYP2D6 metabolism phenotype. We also aimed to investigate the influence of co-medications and patient profile (BMI, glycemia, lipid levels) on tramadol metabolite ratios.
View Article and Find Full Text PDFFront Pharmacol
November 2024
Clinical Pharmacy Services, Marshfield Clinic Health System, Marshfield, WI, United States.
Introduction: Increasingly, pharmacogenetic testing helps providers with medication selection based upon patient-specific DNA results. While several government-funded organizations work towards consensus and standardization for testing and interpretation, compliance to these best practices remains inconsistent. Pharmacogenetic testing companies often develop proprietary practices for interpreting and reporting, which can lead to incongruency of reported results among companies and potential discrepancies in interpretation.
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