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Stancil SL, Sandritter T, Strawn JR. Pharmacogenetics and Oxcarbazepine in Children and Adolescents: Beyond HLA-B*15:02. J Child Adolesc Psychopharmacol 2024; 34:61-66. [PMID: 38377523 PMCID: PMC10880270 DOI: 10.1089/cap.2023.0064] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/22/2024]
Abstract
Background: Oxcarbazepine is thought to be better-tolerated and less susceptible to drug-drug interactions than its predecessor, carbamazepine. Genetic testing for HLA-B*15:02 is recommended in specific populations to identify those at high risk of severe hypersensitivity reactions; however, other pharmacologic and pharmacogenetic factors that can impact drug disposition may be involved. Methods: We present a case of an 8-year-old boy treated with oxcarbazepine who developed drug reaction with eosinophilia and systemic symptoms (DRESS) with Stevens-Johnsons syndrome overlap and was negative for HLA-B*15:02. We review the extant literature related to oxcarbazepine disposition, and potential pharmacogenetic variants in aldoketoreductase 1C (AKR1C)2-4 that may contribute to this risk. Results: Genetic variability in oxcarbazepine disposition pathways may contribute to tolerability and toxicity, including the development of hypersensitivity reactions. Conclusions: While preemptive genetic testing for HLA-B*15:02 in individuals of Asian ancestry is recommended to prevent severe hypersensitivity reactions to oxcarbazepine, oxcarbazepine concentrations and AKR1C variation may contribute to the risk of severe adverse reactions. We provide recommendations for future study to elucidate whether these individual factors are important for reducing the risk of severe adverse events.
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Affiliation(s)
- Stephani L. Stancil
- Division of Adolescent Medicine, Children's Mercy Kansas City, Kansas City, Missouri, USA
- Division of Clinical Pharmacology, Toxicology and Therapeutic Innovation, Children's Mercy Kansas City, Kansas City, Missouri, USA
- Department of Pediatrics, University of Missouri–Kansas City School of Medicine, Kansas City, Missouri, USA
| | - Tracy Sandritter
- Division of Clinical Pharmacology, Toxicology and Therapeutic Innovation, Children's Mercy Kansas City, Kansas City, Missouri, USA
| | - Jeffrey R. Strawn
- Department of Psychiatry and Behavioral Neuroscience and University of Cincinnati College of Medicine, Cincinnati, Ohio, USA
- Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, Ohio, USA
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Li X, Wei S, Wu H, Zhang Q, Zhao Z, Mei S, Feng W, Wu Y. Population pharmacokinetics of oxcarbazepine active metabolite in Chinese children with epilepsy. Eur J Pediatr 2023; 182:4509-4521. [PMID: 37493972 DOI: 10.1007/s00431-023-05092-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/10/2023] [Revised: 06/23/2023] [Accepted: 07/03/2023] [Indexed: 07/27/2023]
Abstract
Oxcarbazepine (OXC) is an antiepileptic drug whose efficacy is largely attributed to its monohydroxy derivative metabolite (MHD). Nevertheless, there exists significant inter-individual variability in both the pharmacokinetics and therapeutic response of this drug. The objective of this study is to explore the impact of patients' characteristics and genetic variants on MHD clearance in a population pharmacokinetic (PPK) model of Chinese pediatric patients with epilepsy. The PPK model was developed using a nonlinear mixed effects modeling method based on 231 MHD plasma concentrations obtained from 185 children with epilepsy. The one-compartment model and combined residual model were established to describe the pharmacokinetics of MHD. Forward addition and backward elimination were employed to evaluate the impact of covariates on the model parameters. The model was evaluated using goodness-of-fit, bootstrap, visual predictive checks, and normalized prediction distribution errors. In the two final PPK models, age, estimated glomerular filtration rate (eGFR), and a combined genotype of six variants (rs1045642, rs2032582, rs7668282, rs2396185, rs2304016, rs1128503) were found to significantly reduce inter-individual variability for MHD clearance. The inter-individual clearance equals to 1.38 × (Age/4.74)0.29 × (eGFR/128.66)0.25 × eθABCB-UGT-SCN-INSR for genetic variants included model and 1.30 × (Age/4.74)0.30 × (eGFR/128.66)0.23 for model without genetic variants. The precision of all parameters was deemed acceptable, and the model exhibited good predictability while remaining stable and effective. Conclusion: Age, eGFR, and genotype may play a significant role in MHD clearance in children with epilepsy. The developed PPK models hold potential utility in facilitating oxcarbazepine dose adjustment in pediatric patients. What is Known: • The adjustment of the oxcarbazepine regimen remains difficult due to the considerable inter- and intra-individual variability of oxcarbazepine pharmacokinetics. • Body weight and co-administration with enzyme-inducing antiepileptic drugs emerge as the most influential factors contributing to the pharmacokinetics of MHD. What is New: • A positive correlation was observed between eGFR and the clearance of MHD in pediatric patients with epilepsy. • We explored the influence of genetic polymorphisms on MHD clearance and identified a combined genotype (ABCB-UGT-SCN-INSR) that exhibited a significant association with MHD concentration.
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Affiliation(s)
- Xingmeng Li
- Department of Neurology, Beijing Children's Hospital, Capital Medical University, 56 Nanlishi Road, Xicheng District, Beijing, 100045, People's Republic of China
| | - Shifeng Wei
- Department of Pharmacy, Beijing Tiantan Hospital, Capital Medical University, 119 Nansihuan West Road, Fengtai District, Beijing, 100070, People's Republic of China
- Department of Clinical Pharmacology, College of Pharmaceutical Sciences, Capital Medical University, Beijing, 100069, People's Republic of China
| | - Han Wu
- Department of Pharmacy, Beijing Tiantan Hospital, Capital Medical University, 119 Nansihuan West Road, Fengtai District, Beijing, 100070, People's Republic of China
- Department of Clinical Pharmacology, College of Pharmaceutical Sciences, Capital Medical University, Beijing, 100069, People's Republic of China
| | - Qiang Zhang
- Department of Pharmacy, Beijing Tiantan Hospital, Capital Medical University, 119 Nansihuan West Road, Fengtai District, Beijing, 100070, People's Republic of China
- Department of Clinical Pharmacology, College of Pharmaceutical Sciences, Capital Medical University, Beijing, 100069, People's Republic of China
| | - Zhigang Zhao
- Department of Pharmacy, Beijing Tiantan Hospital, Capital Medical University, 119 Nansihuan West Road, Fengtai District, Beijing, 100070, People's Republic of China
- Department of Clinical Pharmacology, College of Pharmaceutical Sciences, Capital Medical University, Beijing, 100069, People's Republic of China
| | - Shenghui Mei
- Department of Pharmacy, Beijing Tiantan Hospital, Capital Medical University, 119 Nansihuan West Road, Fengtai District, Beijing, 100070, People's Republic of China.
- Department of Clinical Pharmacology, College of Pharmaceutical Sciences, Capital Medical University, Beijing, 100069, People's Republic of China.
| | - Weixing Feng
- Department of Neurology, Beijing Children's Hospital, Capital Medical University, 56 Nanlishi Road, Xicheng District, Beijing, 100045, People's Republic of China.
| | - Yun Wu
- Department of Neurology, Beijing Children's Hospital, Capital Medical University, 56 Nanlishi Road, Xicheng District, Beijing, 100045, People's Republic of China.
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Wei S, Li X, Zhang Q, Wu H, Wu Y, Zhao Z, Mei S, Feng W. Population pharmacokinetics of topiramate in Chinese children with epilepsy. Eur J Clin Pharmacol 2023; 79:1401-1415. [PMID: 37597080 DOI: 10.1007/s00228-023-03549-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2023] [Accepted: 08/05/2023] [Indexed: 08/21/2023]
Abstract
OBJECTIVE Topiramate, a broad-spectrum antiepileptic drug, exhibits substantial inter-individual variability in both its pharmacokinetics and therapeutic response. The aim of this study was to investigate the influence of patient characteristics and genetic variants on topiramate clearance using population pharmacokinetic (PPK) models in a cohort of Chinese pediatric patients with epilepsy. METHOD The PPK model was constructed using a nonlinear mixed-effects modeling approach, utilizing a dataset comprising 236 plasma concentrations of topiramate obtained from 181 pediatric patients with epilepsy. A one-compartment model combined with a proportional residual model was employed to characterize the pharmacokinetics of topiramate. Covariate analysis was performed using forward addition and backward elimination to assess the influence of covariates on the model parameters. The model was thoroughly evaluated through goodness-of-fit analysis, bootstrap, visual predictive checks, and normalized prediction distribution errors. Monte Carlo simulations were utilized to devise topiramate dosing strategies. RESULT In the final PPK models of topiramate, body weight, co-administration with oxcarbazepine, and a combined genotype of GKIR1-UGT (GRIK1 rs2832407, UGT2B7 rs7439366, and UGT1A1 rs4148324) were identified as significant covariates affecting the clearance (CL). The clearance was estimated using the formulas CL (L/h) = 0.44 × (BW⁄11.7)0.82 × eOXC for the model without genetic variants and CL (L/h) = 0.49 × (BW⁄11.7)0.81 × eOXC × eGRIK1-UGT for the model incorporating genetic variants. The volume of distribution (Vd) was estimated using the formulas Vd (L) = 6.6 × (BW⁄11.7). The precision of all estimated parameters was acceptable. Furthermore, the model demonstrated good predictability, exhibiting stability and effectiveness in describing the pharmacokinetics of topiramate. CONCLUSION The clearance of topiramate in pediatric patients with epilepsy may be subject to the influence of factors such as body weight, co-administration with oxcarbazepine, and genetic polymorphism. In this study, PPK models were developed to better understand and account for these factors, thereby improving the precision and individualization of topiramate therapy in children with epilepsy.
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Affiliation(s)
- Shifeng Wei
- Department of Pharmacy, Beijing Tiantan Hospital, Capital Medical University, 119 Nansihuan West Road, Fengtai District, Beijing, 100070, People's Republic of China
- Department of Clinical Pharmacology, College of Pharmaceutical Sciences, Capital Medical University, Beijing, 100069, People's Republic of China
| | - Xingmeng Li
- Department of Neurology, Beijing Children's Hospital, Capital Medical University, 56 Nanlishi Road, Xicheng District, Beijing, 100045, People's Republic of China
| | - Qiang Zhang
- Department of Pharmacy, Beijing Tiantan Hospital, Capital Medical University, 119 Nansihuan West Road, Fengtai District, Beijing, 100070, People's Republic of China
- Department of Clinical Pharmacology, College of Pharmaceutical Sciences, Capital Medical University, Beijing, 100069, People's Republic of China
| | - Han Wu
- Department of Pharmacy, Beijing Tiantan Hospital, Capital Medical University, 119 Nansihuan West Road, Fengtai District, Beijing, 100070, People's Republic of China
- Department of Clinical Pharmacology, College of Pharmaceutical Sciences, Capital Medical University, Beijing, 100069, People's Republic of China
| | - Yun Wu
- Department of Neurology, Beijing Children's Hospital, Capital Medical University, 56 Nanlishi Road, Xicheng District, Beijing, 100045, People's Republic of China
| | - Zhigang Zhao
- Department of Pharmacy, Beijing Tiantan Hospital, Capital Medical University, 119 Nansihuan West Road, Fengtai District, Beijing, 100070, People's Republic of China.
- Department of Clinical Pharmacology, College of Pharmaceutical Sciences, Capital Medical University, Beijing, 100069, People's Republic of China.
| | - Shenghui Mei
- Department of Pharmacy, Beijing Tiantan Hospital, Capital Medical University, 119 Nansihuan West Road, Fengtai District, Beijing, 100070, People's Republic of China.
- Department of Clinical Pharmacology, College of Pharmaceutical Sciences, Capital Medical University, Beijing, 100069, People's Republic of China.
| | - Weixing Feng
- Department of Neurology, Beijing Children's Hospital, Capital Medical University, 56 Nanlishi Road, Xicheng District, Beijing, 100045, People's Republic of China.
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Li Y, Zhan H, Wu J, Yu J, Cao G, Wu X, Guo B, Liu X, Fan Y, Hu J, Li X, Wu H, Wang Y, Chen Y, Xu X, Yu P, Zhang J. Population Pharmacokinetics and Exposure-Safety of Lipophilic Conjugates Prodrug DP-VPA in Healthy Chinese Subjects for Dose Regime Exploring. Eur J Pharm Biopharm 2023:S0939-6411(23)00111-X. [PMID: 37142130 DOI: 10.1016/j.ejpb.2023.04.023] [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: 02/01/2023] [Revised: 04/07/2023] [Accepted: 04/27/2023] [Indexed: 05/06/2023]
Abstract
Phospholipid-valproic acid (DP-VPA)is a prodrug for treating epilepsy. The present study explored the pharmacokinetics (PK) and exposure safety of DP-VPA to provide a basis for future studies exploring the safe dosage and therapeutic strategies for epilepsy. The study included a randomized placebo-controlled dose-escalation tolerance evaluation trial and a randomized triple crossover food-effect trial in healthy Chinese volunteers. A population pharmacokinetic (PopPK) model was established to analyze the PK of DP-VPA and active metabolite VPA. The exposure safety was assessed with the adverse drug reaction (ADR) in CNS. The PopPK of DP-VPA and metabolite VPA fitted a two-compartment model coupling one-compartment with Michaelis-Menten metabolite kinetics and first-order elimination. The absorption processes after single oral administration of DP-VPA tablet demonstrated nonlinear characteristics, including 0-order kinetic phase and time-dependent phase fitting Weibull distribution. The final model indicated that the DP-VPA PK was significantly affected by dosage and food. The exposure-safety relationship demonstrated a generalized linear regression; mild/moderate ADRs occurred in some subjects with 600 mg and all subjects with 1500 mg of DP-VPA, and no severe ADRs were reported up to 2400 mg. In conclusion, the study established a PopPK model describing the processing of DP-VPA and VPA in healthy Chinese subjects. DP-VPA showed good tolerance after a single dose of 600-2400 mg with nonlinear PK and was affected by dosage and food. Based on the association between neurological ADRs and higher exposure to DP-VPA by exposure-safety analysis, 900-1200 mg was recommended for subsequent study of safety and clinical effectiveness.
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Affiliation(s)
- Yi Li
- National Clinical Research Center for Geriatric Diseases, Huashan Hospital, Fudan University, Shanghai, China; Institute of Antibiotics, Huashan Hospital, Fudan University, Shanghai, China; China Key Laboratory of Clinical Pharmacology of Antibiotics, Ministry of Health, Shanghai, China
| | - Huizhong Zhan
- Office of Drug Clinical Trail Institute, Huashan Hospital, Fudan University, Shanghai, China
| | - Jufang Wu
- Phase I Clinical Research Center, Huashan Hospital, Fudan University, Shanghai, China
| | - Jicheng Yu
- Phase I Clinical Research Center, Huashan Hospital, Fudan University, Shanghai, China
| | - Guoying Cao
- Phase I Clinical Research Center, Huashan Hospital, Fudan University, Shanghai, China
| | - Xiaojie Wu
- Phase I Clinical Research Center, Huashan Hospital, Fudan University, Shanghai, China
| | - Beining Guo
- National Clinical Research Center for Geriatric Diseases, Huashan Hospital, Fudan University, Shanghai, China; Institute of Antibiotics, Huashan Hospital, Fudan University, Shanghai, China; China Key Laboratory of Clinical Pharmacology of Antibiotics, Ministry of Health, Shanghai, China
| | - Xiaofen Liu
- National Clinical Research Center for Geriatric Diseases, Huashan Hospital, Fudan University, Shanghai, China; Institute of Antibiotics, Huashan Hospital, Fudan University, Shanghai, China; China Key Laboratory of Clinical Pharmacology of Antibiotics, Ministry of Health, Shanghai, China
| | - Yaxin Fan
- National Clinical Research Center for Geriatric Diseases, Huashan Hospital, Fudan University, Shanghai, China; Institute of Antibiotics, Huashan Hospital, Fudan University, Shanghai, China; China Key Laboratory of Clinical Pharmacology of Antibiotics, Ministry of Health, Shanghai, China
| | - Jiali Hu
- National Clinical Research Center for Geriatric Diseases, Huashan Hospital, Fudan University, Shanghai, China; Institute of Antibiotics, Huashan Hospital, Fudan University, Shanghai, China; China Key Laboratory of Clinical Pharmacology of Antibiotics, Ministry of Health, Shanghai, China
| | - Xin Li
- National Clinical Research Center for Geriatric Diseases, Huashan Hospital, Fudan University, Shanghai, China; Institute of Antibiotics, Huashan Hospital, Fudan University, Shanghai, China; China Key Laboratory of Clinical Pharmacology of Antibiotics, Ministry of Health, Shanghai, China
| | - Hailan Wu
- National Clinical Research Center for Geriatric Diseases, Huashan Hospital, Fudan University, Shanghai, China; Institute of Antibiotics, Huashan Hospital, Fudan University, Shanghai, China; China Key Laboratory of Clinical Pharmacology of Antibiotics, Ministry of Health, Shanghai, China
| | - Yu Wang
- National Clinical Research Center for Geriatric Diseases, Huashan Hospital, Fudan University, Shanghai, China; Institute of Antibiotics, Huashan Hospital, Fudan University, Shanghai, China; China Key Laboratory of Clinical Pharmacology of Antibiotics, Ministry of Health, Shanghai, China
| | - Yuancheng Chen
- Phase I Clinical Research Center, Huashan Hospital, Fudan University, Shanghai, China
| | - Xiaoyong Xu
- Shanghai Medical College, Fudan University, Shanghai, China
| | - Peimin Yu
- Institute of Neurology, Huashan Hospital, Fudan University, WHO Collaborating Centre for Research and Training in Neurosciences, Shanghai, China.
| | - Jing Zhang
- Phase I Clinical Research Center, Huashan Hospital, Fudan University, Shanghai, China; National Clinical Research Center for Geriatric Diseases, Huashan Hospital, Fudan University, Shanghai, China; Institute of Antibiotics, Huashan Hospital, Fudan University, Shanghai, China; China Key Laboratory of Clinical Pharmacology of Antibiotics, Ministry of Health, Shanghai, China.
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Yang Q, Hu Y, Zhang X, Zhang X, Dai H, Li X. Population pharmacokinetics of oxcarbazepine 10-monohydroxy derivative in Chinese adult epileptic patients. Eur J Hosp Pharm 2023; 30:e90-e96. [PMID: 35787526 PMCID: PMC10086726 DOI: 10.1136/ejhpharm-2022-003357] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2022] [Accepted: 06/14/2022] [Indexed: 11/03/2022] Open
Abstract
OBJECTIVE Oxcarbazepine (OXC) is metabolised to active 10-monohydroxy derivative (MHD) after oral administration. Using this fact we aimed to develop an MHD population pharmacokinetic (PPK) model in Chinese adult epileptic patients to facilitate the clinical implementation of model-guided individualised drug therapy. METHODS We collected blood samples from Chinese adult epileptic patients taking OXC at the Second Affiliated Hospital of Zhejiang University School of Medicine. We used high performance liquid chromatography (HPLC-MS/MS) with tandem mass spectrometry to detect MHD concentrations in the blood samples. We collected various data from patients including their demographic, pathological, and physiological information. MassARRAY method was used to detect ABCC2, ABCB1, SCN8A, SCN1A, SCN2A, SCN3A, UGT1A9, and UGT2B7 gene polymorphisms. We used a nonlinear mixed-effects modelling method to develop the PPK model and we predicted dosing regimens through simulation. RESULT In total we collected 164 blood samples from 118 patients. We found that a one-compartment model with first-order absorption better described the in vivo MHD pharmacokinetics. UGT2B7 gene (rs7439366) site mutation and the combined use of valproic acid enhanced the MHD clearance rate. We divided patients into groups based on the UGT2B7 genotype and whether they were also using valproic acid at the same time. Individualised OXC dosing regimens were proposed for different subgroups of patients. CONCLUSION In Chinese adult epileptic patients, individualised drug administration can be facilitated using a PPK model of OXC. TRIAL REGISTRATION NUMBER ChiCTR-OOC-17012141.
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Affiliation(s)
- QiaoWei Yang
- Department of Pharmacy, Zhejiang University School of Medicine Second Affiliated Hospital, Hangzhou, Zhejiang, China
- Department of Pharmacy, Sanmen People's Hospital, Taizhou, Zhejiang Province, People's Republic of China
| | - Yan Hu
- Department of Pharmacy, Zhejiang University School of Medicine Second Affiliated Hospital, Hangzhou, Zhejiang, China
- Department of Pharmacy, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang Province, People's Republic of China
| | - XuanLing Zhang
- Department of Pharmacy, Beijing Friendship Hospital, Capital Medical University, Beijing, Beijing, China
| | - XiaoMin Zhang
- Department of Pharmacy, Sanmen People's Hospital, Taizhou, Zhejiang Province, People's Republic of China
| | - Haibin Dai
- Department of Pharmacy, Zhejiang University School of Medicine Second Affiliated Hospital, Hangzhou, Zhejiang, China
| | - Xingang Li
- Department of Pharmacy, Beijing Friendship Hospital, Capital Medical University, Beijing, Beijing, China
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Li ZR, Wang CY, Lin WW, Chen YT, Liu XQ, Jiao Z. Handling Delayed or Missed Dose of Antiseizure Medications: A Model-Informed Individual Remedial Dosing. Neurology 2023; 100:e921-e931. [PMID: 36450606 PMCID: PMC9990430 DOI: 10.1212/wnl.0000000000201604] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/06/2022] [Accepted: 10/11/2022] [Indexed: 12/05/2022] Open
Abstract
BACKGROUND AND OBJECTIVES Delayed or missed antiseizure medications (ASMs) doses are common during long-term or lifelong antiepilepsy treatment. This study aims to explore optimal individualized remedial dosing regimens for delayed or missed doses of 11 commonly used ASMs. METHODS To explore remedial dosing regimens, Monte Carlo simulation was used based on previously identified and published population pharmacokinetic models. Six remedial strategies for delayed or missed doses were investigated. The deviation time outside the individual therapeutic range was used to evaluate each remedial regimen. The influences of patients' demographics, concomitant medication, and scheduled dosing intervals on remedial regimens were assessed. RxODE and Shiny in R were used to perform Monte Carlo simulation and recommend individual remedial regimens. RESULTS The recommended remedial regimens were highly correlated with delayed time, scheduled dosing interval, and half-life of the ASM. Moreover, the optimal remedial regimens for pediatric and adult patients were different. The renal function, along with concomitant medication that affects the clearance of the ASM, may also influence the remedial regimens. A web-based dashboard was developed to provide individualized remedial regimens for the delayed or missed dose, and a user-defined module with all parameters that could be defined flexibly by the user was also built. DISCUSSION Monte Carlo simulation based on population pharmacokinetic models may provide a rational approach to propose remedial regimens for delayed or missed doses of ASMs in pediatric and adult patients with epilepsy.
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Affiliation(s)
- Zi-Ran Li
- From the Department of Pharmacy (Z.L., C.W., Y.C., X.L., Z.J.), Shanghai Chest Hospital, Shanghai Jiao Tong University, China; Department of Pharmacy (Z.L., X.L.), Huashan Hospital, Fudan University, Shanghai, China; Department of Pharmacy (W.L.), The First Affiliated Hospital, Fujian Medical University, Fuzhou, China; and School of Basic Medicine and Clinical Pharmacy (Y.C.), China Pharmaceutical University, Nanjing, China.
| | - Chen-Yu Wang
- From the Department of Pharmacy (Z.L., C.W., Y.C., X.L., Z.J.), Shanghai Chest Hospital, Shanghai Jiao Tong University, China; Department of Pharmacy (Z.L., X.L.), Huashan Hospital, Fudan University, Shanghai, China; Department of Pharmacy (W.L.), The First Affiliated Hospital, Fujian Medical University, Fuzhou, China; and School of Basic Medicine and Clinical Pharmacy (Y.C.), China Pharmaceutical University, Nanjing, China
| | - Wei-Wei Lin
- From the Department of Pharmacy (Z.L., C.W., Y.C., X.L., Z.J.), Shanghai Chest Hospital, Shanghai Jiao Tong University, China; Department of Pharmacy (Z.L., X.L.), Huashan Hospital, Fudan University, Shanghai, China; Department of Pharmacy (W.L.), The First Affiliated Hospital, Fujian Medical University, Fuzhou, China; and School of Basic Medicine and Clinical Pharmacy (Y.C.), China Pharmaceutical University, Nanjing, China.
| | - Yue-Ting Chen
- From the Department of Pharmacy (Z.L., C.W., Y.C., X.L., Z.J.), Shanghai Chest Hospital, Shanghai Jiao Tong University, China; Department of Pharmacy (Z.L., X.L.), Huashan Hospital, Fudan University, Shanghai, China; Department of Pharmacy (W.L.), The First Affiliated Hospital, Fujian Medical University, Fuzhou, China; and School of Basic Medicine and Clinical Pharmacy (Y.C.), China Pharmaceutical University, Nanjing, China
| | - Xiao-Qin Liu
- From the Department of Pharmacy (Z.L., C.W., Y.C., X.L., Z.J.), Shanghai Chest Hospital, Shanghai Jiao Tong University, China; Department of Pharmacy (Z.L., X.L.), Huashan Hospital, Fudan University, Shanghai, China; Department of Pharmacy (W.L.), The First Affiliated Hospital, Fujian Medical University, Fuzhou, China; and School of Basic Medicine and Clinical Pharmacy (Y.C.), China Pharmaceutical University, Nanjing, China
| | - Zheng Jiao
- From the Department of Pharmacy (Z.L., C.W., Y.C., X.L., Z.J.), Shanghai Chest Hospital, Shanghai Jiao Tong University, China; Department of Pharmacy (Z.L., X.L.), Huashan Hospital, Fudan University, Shanghai, China; Department of Pharmacy (W.L.), The First Affiliated Hospital, Fujian Medical University, Fuzhou, China; and School of Basic Medicine and Clinical Pharmacy (Y.C.), China Pharmaceutical University, Nanjing, China.
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Polymorphisms Affecting the Response to Novel Antiepileptic Drugs. Int J Mol Sci 2023; 24:ijms24032535. [PMID: 36768858 PMCID: PMC9917302 DOI: 10.3390/ijms24032535] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/29/2022] [Revised: 01/25/2023] [Accepted: 01/26/2023] [Indexed: 02/03/2023] Open
Abstract
Epilepsy is one of the most frequent chronic neurologic disorders that affects nearly 1% of the population worldwide, especially in developing countries. Currently, several antiepileptic drugs (AEDs) are available for its therapy, and although the prognosis is good for most patients, 20%-30% amongst them do not reach seizure freedom. Numerous factors may explain AED-resistance such as sex, age, ethnicity, type of seizure, early epilepsy onset, suboptimal dosing, poor drug compliance, alcohol abuse, and in particular, genetic factors. Specifically, the interindividual differences in drug response can be caused by single nucleotide polymorphisms (SNPs) in genes encoding for drug efflux transporters, for the brain targets of AEDs, and for enzymes involved in drug metabolism. In this review, we used the PubMed database to retrieve studies that assessed the influence of SNPs on the pharmacokinetic (PK), pharmacodynamic (PD), and efficacy of new antiepileptic drugs. Our results showed that polymorphisms in the ABCB1, ABCC2, UGT1A4, UGT2B7, UGT2B15, CYP2C9, and CYP2C19 genes have an influence on the PK and efficacy of AEDs, suggesting that a genetic pre-evaluation of epileptic patients could help clinicians in prescribing a personalized treatment to improve the efficacy and the safety of the therapy.
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Chen YT, Wang CY, Yin YW, Li ZR, Lin WW, Zhu M, Jiao Z. Population pharmacokinetics of oxcarbazepine: a systematic review. Expert Rev Clin Pharmacol 2021; 14:853-864. [PMID: 33851561 DOI: 10.1080/17512433.2021.1917377] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
Abstract
INTRODUCTION Oxcarbazepine is commonly used as first-line treatment for partial and generalized tonic-clonic seizures. Owing to the high pharmacokinetic variability, several population pharmacokinetic models have been developed for oxcarbazepine to explore potential covariates that affect its pharmacokinetic variation. AREAS COVERED This review summarizes the published population pharmacokinetic studies of oxcarbazepine in children and adults available in PubMed and Embase databases. The quality of the retrieved studies was evaluated, and significant covariates that may have an impact on the dosage regimen of oxcarbazepine were explored. EXPERT OPINION The pharmacokinetics of oxcarbazepine was founded to be affected by body weight and co-administration with enzyme inducers. Pediatric patients require a higher dose per kilogram than adults because children generally have a higher clearance than adults. Moreover, to maintain the target concentration, patients co-administrate with enzyme inducers need a higher dose than monotherapy due to higher clearance in those patients. Because limited information is available for exposure-response relationship, additional pharmacokinetic/pharmacodynamics investigations of oxcarbazepine need to be conducted to optimize the dosage regimen in clinical practice.
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Affiliation(s)
- Yue-Ting Chen
- Department of Pharmacy, Shanghai Chest Hospital, Shanghai Jiao Tong University, Shanghai, China.,School of Basic Medicine and Clinical Pharmacy, China Pharmaceutical University, Nanjing, China
| | - Chen-Yu Wang
- Department of Pharmacy, Shanghai Chest Hospital, Shanghai Jiao Tong University, Shanghai, China
| | - Yi-Wei Yin
- Department of Pharmacy, Shanghai Chest Hospital, Shanghai Jiao Tong University, Shanghai, China
| | - Zi-Ran Li
- Department of Pharmacy, Huashan Hospital, Fudan University, Shanghai, China
| | - Wei-Wei Lin
- Department of Pharmacy, the First Affiliated Hospital, Fujian Medical University, Fuzhou, China
| | - Min Zhu
- Department of Pharmacy, Shanghai Chest Hospital, Shanghai Jiao Tong University, Shanghai, China.,School of Basic Medicine and Clinical Pharmacy, China Pharmaceutical University, Nanjing, China
| | - Zheng Jiao
- Department of Pharmacy, Shanghai Chest Hospital, Shanghai Jiao Tong University, Shanghai, China
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Kong FC, Ma CL, Lang LQ, Zhong MK. Association of xenobiotic receptor polymorphisms with carbamazepine response in epilepsy patients. Gene 2020; 771:145359. [PMID: 33333223 DOI: 10.1016/j.gene.2020.145359] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2020] [Revised: 11/03/2020] [Accepted: 12/01/2020] [Indexed: 12/15/2022]
Abstract
PURPOSE Drug-resistant epilepsy is a problem worldwide. Xenobiotic receptors may play a significant role in the establishment of resistance to antiepileptic agents. Previous studies have confirmed that the metabolism and efficacy of carbamazepine (CBZ) can be influenced by xenobiotic receptors, especially pregnane X receptor (PXR), constitutive androstane receptor (CAR), and aryl hydrocarbon receptor (AHR). Therefore, this study intends to elucidate the pharmacogenomic associations of polymorphisms of these xenobiotic receptors with the CBZ response in epilepsy patients, and these genetic data may be useful for the treatment of clinical prophylaxis and individualized treatment of intractable epilepsy. METHODS Adult patients with epilepsy who were on CBZ-based monotherapy and combination therapy (n = 257) were genotyped, and the patients were divided into drug-responsive and drug-resistant groups according to the International League Against Epilepsy criteria. We sought to tag single-nucleotide polymorphisms (SNPs) of PXR, CAR and AHR that principally represent alleles associated with drug resistance risk; in addition, a gene interaction analysis reference panel was constructed for SNP-based imputation. RESULTS No significant effects of PXR or AHR polymorphisms were observed. However, an interaction between the CAR rs2502815 variant and CBZ response was observed: in CBZ-based monotherapy and combination therapy patients, the GG genotype of the CAR rs2502815 variant (vs. wild-type homozygous) was independently associated with CBZ response after adjusting for variables [odds ratio (OR) = 0.389, 95% confidence interval (CI) 0.203-0.743, p = 0.004]. The results of the haplotype and gene interaction case-control analyses of the CBZ response were negative. Our results provide clinical data regarding the genetic possibilities of drug responses related to CAR variation in epilepsy patients. CONCLUSION This study is the first to indicate a potentially relevant interaction between the CAR rs2502815 polymorphism and the CBZ response in epilepsy patients.
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Affiliation(s)
- Fan-Cheng Kong
- Department of Pharmacy, Huashan Hospital, Fudan University, Shanghai, China
| | - Chun-Lai Ma
- Department of Pharmacy, Huashan Hospital, Fudan University, Shanghai, China.
| | - Li-Qin Lang
- Department of Neurosurgery, Huashan Hospital, Fudan University, Shanghai, China.
| | - Ming-Kang Zhong
- Department of Pharmacy, Huashan Hospital, Fudan University, Shanghai, China
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Ma KF, Liu YX, Jiao Z, Lv JH, Yang P, Wu JY, Yang S. Population Pharmacokinetics of Vancomycin in Kidney Transplant Recipients: Model Building and Parameter Optimization. Front Pharmacol 2020; 11:563967. [PMID: 33117163 PMCID: PMC7573825 DOI: 10.3389/fphar.2020.563967] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/20/2020] [Accepted: 09/10/2020] [Indexed: 11/20/2022] Open
Abstract
Background Depending on the renal function of patients and many other influencing factors, studies on vancomycin pharmacokinetics show significant inter- and intra-individual variability. The present study was conducted using a population pharmacokinetics method to investigate the pharmacokinetic parameters and identified their influencing covariates for intravenous vancomycin in adult kidney transplant recipients. Methods The drug monitoring data included 56 adult renal transplant recipients who received intravenous vancomycin as prophylactic medication. The analysis was performed by a population approach with NONMEM. Data were collected mainly during the first week after transplantation. Monitoring of vancomycin trough concentration in blood was initiated mainly 3–5 days after the initial administration. Results The one-compartment open model was optimal and adequately described the data. Body weight (WT) and estimated glomerular filtration rate (GFR) were identified as significant covariates of the pharmacokinetic parameters CL and V of intravenous vancomycin in the kidney transplant patients. The typical values of vancomycin CL and V were 2.08 L h-1 and 63.2 L, respectively. A dosage strategy scheme according to model results was also designed. Conclusion Both WT and GFR of the kidney transplant patients positively influence the pharmacokinetic parameters CL and V for intravenous vancomycin. Our population pharmacokinetic model provides a reference for vancomycin dosage adjustment in kidney transplant recipients.
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Affiliation(s)
- Kui-Fen Ma
- Department of Pharmacy, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Yi-Xi Liu
- Department of Pharmacy, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Zheng Jiao
- Department of Pharmacy, Shanghai Chest Hospital, Shanghai Jiao Tong University, Shanghai, China
| | - Jun-Hao Lv
- Department of Pharmacy, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Ping Yang
- Department of Pharmacy, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Jian-Yong Wu
- Department of Pharmacy, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Si Yang
- Department of Pharmacy, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
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Zhao Q, Jin S, Liu Q, Zhao Z, Feng W, Mei S. Simultaneous Determination of Lamotrigine, Topiramate, Oxcarbazepine, and 10,11-dihydro-10-hydroxycarbazepine in Human Blood Plasma by UHPLC-MS/MS. CURR ANAL CHEM 2020. [DOI: 10.2174/1573411016666200108143049] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
Abstract
Background:
Lamotrigine (LTG), topiramate (TPM), and oxcarbazepine (OXC) are
commonly used antiepileptic drugs. The bioactivity and toxicity of these drugs were related to their
blood concentrations which varied greatly among individuals and required to be monitored for dose
adjustment. However, the commercial method for monitoring of these drugs is not available in China.
Methods:
A UHPLC-MS/MS method for simultaneous determination of LTG, TPM, OXC, and OXC
active metabolite (10,11-dihydro-10-hydroxycarbazepine, MHD) was developed and validated according
to the guidelines and applied in clinical practice.
Results:
he separation was achieved by using methanol and water (both contain 0.1% formic acid)
at 0.4 mL/min under gradient elution within 3 min. For all analytes, the isotope internal standard was
used; the selectivity was good without significant carry over; LTG and TPM were linear between
0.06 to 12 mg/L while OXC and MHD were linear between 0.03 to 6 mg/L, the upper limit could be
10-fold higher because 10-fold dilution with water did not affect the results; the intra-day and interday
bias and imprecision were -13.11% to 5.42% and < 13.32%; the internal standard normalized recovery
and matrix factor were 90.95% to 111.94% and 95.57% to 109.91%; and all analytes were
stable under tested conditions. LTG and OXC-D4 shared two ion pairs m/z 257.1 > 212.0 and 257.1 >
184.0, and m/z 257.1 > 240.0 was suggested for OXC-D4 quantitation. Lamotrigine and lamotrigine-
13C3 shared three ion pairs m/z 259.0 > 214.0, 259.0 > 168.0 and 259.0 > 159.0, and m/z 259.0 >
144.9 was suggested for LTG-13C3 quantitation. CBZ had a slight influence on OXC analysis only at
0.225 mg/L (bias, 20.24%) but did not affect MHD analysis. Optimization of chromatography conditions
was useful to avoid the influence of isobaric mass transitions on analysis. This method has been
successfully applied in 208 patients with epilepsy for dose adjustment.
Conclusions:
An accurate, robust, rapid, and simple method for simultaneous determination of LTG,
TPM, OXC, and MHD by UHPLC-MS/MS was developed, validated, and successfully applied in patients
with epilepsy for dose adjustment. The experiences during method development, validation,
and application might be helpful for other researchers.
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Affiliation(s)
- Qing Zhao
- Department of Pharmacy, Beijing Tiantan Hospital, Capital Medical University, 119 Nansihuan West Road, Fengtai District, Beijing 100070, China
| | - Siyao Jin
- Department of Pharmacy, Beijing Tiantan Hospital, Capital Medical University, 119 Nansihuan West Road, Fengtai District, Beijing 100070, China
| | - Qingyang Liu
- Department of Pharmacy, Beijing Tiantan Hospital, Capital Medical University, 119 Nansihuan West Road, Fengtai District, Beijing 100070, China
| | - Zhigang Zhao
- Department of Pharmacy, Beijing Tiantan Hospital, Capital Medical University, 119 Nansihuan West Road, Fengtai District, Beijing 100070, China
| | - Weixing Feng
- Department of Neurology, Beijing Children’s Hospital, Capital Medical University, Beijing 100045, China
| | - Shenghui Mei
- Department of Pharmacy, Beijing Tiantan Hospital, Capital Medical University, 119 Nansihuan West Road, Fengtai District, Beijing 100070, China
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Jin S, Zhao Q, Zhang D, Zhao Z, Mei S. Development and validation of an improved HPLC-UV method for simultaneous determination of lamotrigine and oxcarbazepine and its active metabolite 10,11-dihydro-10-hydroxycarbazepine in human blood plasma and comparison with an UHPLC-MS/MS method. J Anal Sci Technol 2019. [DOI: 10.1186/s40543-019-0198-9] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022] Open
Abstract
AbstractLamotrigine (LTG) and oxcarbazepine (OXC) are first-line drugs for epilepsy treatment. Their large pharmacokinetics variabilities and relations between efficacy and toxicity and blood plasma concentration require routine monitoring for dose adjustment. In this study, we developed and validated a simple, accurate, and reliable method for simultaneous determination of LTG, OXC and 10,11-dihydro-10-hydroxycarbazepine (MHD) in human blood plasma by high-performance liquid chromatography-ultraviolet detection (HPLC-UV) with a simple one-step protein precipitation using methanol (1% acetic acid) and 15 min elution time under isocratic elution at 1 mL/min. Calibration range was 2.4 to 120 mg/L for LTG, OXC, and MHD. The intra-day and inter-day bias were − 8.84 to 4.18%, and the imprecision was less than 8.08% for all analytes. The internal standard (fluconazole) normalized recovery was 96.30 to 107.69% for LTG, 98.51 to 111.04% for MHD, and 95.04 to 109.86% for OXC. A total of 186 LTG samples and 25 MHD samples were used to evaluate the agreement between HPLC-UV and ultra-performance liquid chromatography-mass spectrometry (UHPLC-MS/MS) by Passing-Bablok regression and Bland-Altman plot. The mean bias and the 95% limits of agreement (95% LOA) of the two measurements were 0.575 mg/L and − 1.238 to 2.387 mg/L for LTG (n = 186) and − 1.222 mg/L and − 8.271 to 5.827 mg/L for MHD (n = 25), which indicated the UV method was comparable with the MS method for LTG and MHD analysis.
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