1
|
Lin M, Zhang Y, Lv D, Xu N, Yang X, Liu X, Yan C, Wu M, Kai J, Hu S, Zhao Q. The impact of CYP3A5*3 on oral quetiapine: A population pharmacokinetic model in Chinese bipolar disorder patients. J Affect Disord 2024; 351:309-313. [PMID: 38262522 DOI: 10.1016/j.jad.2024.01.170] [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: 11/01/2023] [Revised: 01/15/2024] [Accepted: 01/17/2024] [Indexed: 01/25/2024]
Abstract
BACKGROUND There is great interindividual difference in the plasma concentration of quetiapine, and optimizing quetiapine therapy to achieve a balance between efficacy and safety is still a challenge. In our study, a population pharmacokinetic (PPK) model considering genetic information was developed with the expectation of comprehensively explaining this observation in Chinese patients with bipolar disorder. METHODS Patients who were dispensed quetiapine and underwent the therapeutic drug monitoring (TDM) were included. The genotypes of CYP3A5*3, CYP2D6*10, and ABCB1 C3435T/G2677T were analyzed. Finally, a multivariable linear regression model was applied to describe the PPK of quetiapine considering the covariates weight, height and genotype information. RESULTS A total of 175 TDM points from 107 patients were adopted for PPK model development. Resultantly, the CL/F of quetiapine in CYP3A5 expressers was 81.1 CL/h, whereas it was 43.6 CL/h in CYP3A5 nonexpressers. The interindividual variability in CL/F was 47.7 %. However, neither the ABCB1 nor CYP2D6 genotype was significantly associated with the predictor of quetiapine clearance in our study. LIMITATIONS Only trough concentrations were collected, and the span between different points was relatively wide, impeding the application of the typical nonlinear compartment model for PPK analysis. In addition, this was a single-center study which limited the sample of wild-type CYP3A5 carriers. CONCLUSIONS The currently established PPK model of quetiapine considering the contribution of the CYP3A5 genotype could efficiently predict the population and individual pharmacokinetic parameters of Chinese bipolar disorder patients, which could better guide the personalized therapy with quetiapine, thus to achieve the best clinical response.
Collapse
Affiliation(s)
- Meihua Lin
- Department of Clinical Pharmacy, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310003, China; Zhejiang Provincial Key Laboratory for Drug Evaluation and Clinical Research, Hangzhou 310003, China; Zhejiang Provincial Key Laboratory of Traditional Chinese Medicine for Clinical Evaluation and Translational Research, Hangzhou 310003, China
| | - Yu Zhang
- Department of Clinical Pharmacy, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310003, China
| | - Duo Lv
- Department of Clinical Pharmacy, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310003, China; Zhejiang Provincial Key Laboratory for Drug Evaluation and Clinical Research, Hangzhou 310003, China
| | - Nana Xu
- Department of Clinical Pharmacy, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310003, China; Zhejiang Provincial Key Laboratory for Drug Evaluation and Clinical Research, Hangzhou 310003, China
| | - Xi Yang
- Department of Clinical Pharmacy, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310003, China; Zhejiang Provincial Key Laboratory for Drug Evaluation and Clinical Research, Hangzhou 310003, China
| | - Xueling Liu
- Department of Clinical Pharmacy, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310003, China; Zhejiang Provincial Key Laboratory for Drug Evaluation and Clinical Research, Hangzhou 310003, China
| | - Caixia Yan
- Department of Clinical Pharmacy, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310003, China; Zhejiang Provincial Key Laboratory for Drug Evaluation and Clinical Research, Hangzhou 310003, China
| | - Meijia Wu
- Department of Clinical Pharmacy, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310003, China; Zhejiang Provincial Key Laboratory for Drug Evaluation and Clinical Research, Hangzhou 310003, China
| | - Jiejing Kai
- Department of Clinical Pharmacy, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310003, China; Zhejiang Provincial Key Laboratory for Drug Evaluation and Clinical Research, Hangzhou 310003, China
| | - Shaohua Hu
- Department of Psychiatry, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310003, China; The Key Laboratory of Mental Disorder's Management of Zhejiang Province, Zhejiang Engineering Center for Mathematical Mental Health, Hangzhou 310003, China; Brain Research Institute of Zhejiang University, Hangzhou 310003, China.
| | - Qingwei Zhao
- Department of Clinical Pharmacy, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310003, China; Zhejiang Provincial Key Laboratory for Drug Evaluation and Clinical Research, Hangzhou 310003, China; Zhejiang Provincial Key Laboratory of Traditional Chinese Medicine for Clinical Evaluation and Translational Research, Hangzhou 310003, China.
| |
Collapse
|
2
|
Liang J, Ringeling LT, Hermans RA, Bayraktar I, Bosch TM, Egberts KM, Kloosterboer SM, de Winter B, Dierckx B, Koch BCP. Clinical pharmacokinetics of antipsychotics in pediatric populations: a scoping review focusing on dosing regimen. Expert Opin Drug Metab Toxicol 2023; 19:501-509. [PMID: 37668177 DOI: 10.1080/17425255.2023.2252340] [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] [Received: 06/07/2023] [Revised: 08/01/2023] [Accepted: 08/10/2023] [Indexed: 09/06/2023]
Abstract
INTRODUCTION Achieving optimal clinical responses and minimizing side effects through precision dosing of antipsychotics in children and adolescents with psychiatric disorders remains a challenge. Identifying patient characteristics (covariates) that affect pharmacokinetics can inform more effective dosing strategies and ultimately improve patient outcomes. This review aims to provide greater insight into the impact of covariates on the clinical pharmacokinetics of antipsychotics in pediatric populations. AREAS COVERED A comprehensive literature search was conducted, and the main findings regarding the effects of the covariates on the pharmacokinetics of antipsychotics in children and adolescents are presented. EXPERT OPINION Our study highlights significant covariates, including age, sex, weight, CYP2D6 phenotype, co-medication, and smoking habits, which affect the pharmacokinetics of antipsychotics. However, the findings were generally limited by the small sample sizes of naturalistic, open-label, observational studies, and the homogeneous subgroups. Dosing based on weight and preemptive genotyping could prove beneficial for optimizing the dosing regimen in pediatric populations. Future research is needed to refine dosing recommendations and establish therapeutic reference ranges critical for precision dosing and Therapeutic Drug Monitoring (TDM). The integration of individual patient characteristics with TDM can further optimize the efficacy and safety of antipsychotics for each patient.
Collapse
Affiliation(s)
- Jiayi Liang
- Rotterdam Clinical Pharmacometrics Group, Erasmus University Medical Center, Rotterdam, the Netherlands
- Department of Hospital Pharmacy, Erasmus University Medical Center, Rotterdam, the Netherlands
- Department of Hospital Pharmacy, Maasstad Hospital, Rotterdam, the Netherlands
| | - Lisa T Ringeling
- Rotterdam Clinical Pharmacometrics Group, Erasmus University Medical Center, Rotterdam, the Netherlands
- Department of Hospital Pharmacy, Erasmus University Medical Center, Rotterdam, the Netherlands
- Department of Child and Adolescent Psychiatry/Psychology, Erasmus University Medical Center, Rotterdam, the Netherlands
| | - Rebecca A Hermans
- Rotterdam Clinical Pharmacometrics Group, Erasmus University Medical Center, Rotterdam, the Netherlands
- Department of Hospital Pharmacy, Erasmus University Medical Center, Rotterdam, the Netherlands
- Department of Child and Adolescent Psychiatry/Psychology, Erasmus University Medical Center, Rotterdam, the Netherlands
| | - Izgi Bayraktar
- Department of Hospital Pharmacy, Erasmus University Medical Center, Rotterdam, the Netherlands
| | - Tessa M Bosch
- Rotterdam Clinical Pharmacometrics Group, Erasmus University Medical Center, Rotterdam, the Netherlands
- Department of Hospital Pharmacy, Maasstad Hospital, Rotterdam, the Netherlands
- Department of Clinical Pharmacology & Toxicology, Maasstad Lab, Maasstad Hospital, Rotterdam, the Netherlands
| | - Karin M Egberts
- Department of Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy, Center of Mental Health, University Hospital Würzburg, Würzburg, Germany
| | - Sanne M Kloosterboer
- Department of Child and Adolescent Psychiatry/Psychology, Erasmus University Medical Center, Rotterdam, the Netherlands
| | - Brenda de Winter
- Rotterdam Clinical Pharmacometrics Group, Erasmus University Medical Center, Rotterdam, the Netherlands
- Department of Hospital Pharmacy, Erasmus University Medical Center, Rotterdam, the Netherlands
| | - Bram Dierckx
- Department of Child and Adolescent Psychiatry/Psychology, Erasmus University Medical Center, Rotterdam, the Netherlands
| | - Birgit C P Koch
- Rotterdam Clinical Pharmacometrics Group, Erasmus University Medical Center, Rotterdam, the Netherlands
- Department of Hospital Pharmacy, Erasmus University Medical Center, Rotterdam, the Netherlands
| |
Collapse
|