Milosavljevic Filip, Manojlovic Marina, Matkovic Lena, Molden Espen, Ingelman-Sundberg Magnus, Leucht Stefan, Jukic Marin M
Department of Physiology, Faculty of Pharmacy, University of Belgrade, Belgrade, Serbia.
Department of Psychiatry and Psychotherapy, School of Medicine, Technische Universität München, München, Germany.
JAMA Netw Open. 2024 Aug 1;7(8):e2425593. doi: 10.1001/jamanetworkopen.2024.25593.
Precise estimation of a patient's drug metabolism capacity is important for antiseizure dose personalization.
To quantify the differences in plasma concentrations for antiseizure drugs associated with variants of genes encoding drug metabolizing enzymes.
PubMed, Clinicaltrialsregister.eu, ClinicalTrials.gov, International Clinical Trials Registry Platform, and CENTRAL databases were screened for studies from January 1, 1990, to September 30, 2023, without language restrictions.
Two reviewers performed independent study screening and assessed the following inclusion criteria: appropriate genotyping was performed, genotype-based categorization into subgroups was possible, and each subgroup contained at least 3 participants.
The Meta-analysis of Observational Studies in Epidemiology (MOOSE) guidelines were followed for data extraction and subsequent quality, validity, and risk-of-bias assessments. The results from the included studies were pooled with random-effect meta-analysis.
Plasma concentrations of antiseizure drugs were quantified with the dose-normalized area under the concentration-time curve, the dose-normalized steady state concentration, or the concentrations after a single dose at standardized dose and sampling time. The ratio of the means was calculated by dividing the mean drug plasma concentrations of carriers and noncarriers of the pharmacogenetic variant.
Data from 98 studies involving 12 543 adult participants treated with phenytoin, valproate, lamotrigine, or carbamazepine were analyzed. Studies were mainly conducted within East Asian (69 studies) or White or European (15 studies) cohorts. Significant increases of plasma concentrations compared with the reference subgroup were observed for phenytoin, by 46% (95% CI, 33%-61%) in CYP2C9 intermediate metabolizers, 20% (95% CI, 17%-30%) in CYP2C19 intermediate metabolizers, and 39% (95% CI, 24%-56%) in CYP2C19 poor metabolizers; for valproate, by 12% (95% CI, 4%-20%) in CYP2C9 intermediate metabolizers, 12% (95% CI, 2%-24%) in CYP2C19 intermediate metabolizers, and 20% (95% CI, 2%-41%) in CYP2C19 poor metabolizers; and for carbamazepine, by 12% (95% CI, 3%-22%) in CYP3A5 poor metabolizers.
This systematic review and meta-analysis found that CYP2C9 and CYP2C19 genotypes encoding low enzymatic capacity were associated with a clinically relevant increase in phenytoin plasma concentrations, several pharmacogenetic variants were associated with statistically significant but only marginally clinically relevant changes in valproate and carbamazepine plasma concentrations, and numerous pharmacogenetic variants were not associated with statistically significant differences in plasma concentrations of antiseizure drugs.
准确估计患者的药物代谢能力对于抗癫痫药物剂量个体化至关重要。
量化与药物代谢酶编码基因变体相关的抗癫痫药物血浆浓度差异。
检索了PubMed、Clinicaltrialsregister.eu、ClinicalTrials.gov、国际临床试验注册平台和CENTRAL数据库,纳入1990年1月1日至2023年9月30日期间的研究,无语言限制。
两名评审员独立进行研究筛选,并评估以下纳入标准:进行了适当的基因分型,可基于基因型将患者分为亚组,且每个亚组至少包含3名参与者。
遵循流行病学观察性研究的Meta分析(MOOSE)指南进行数据提取以及后续的质量、有效性和偏倚风险评估。纳入研究的结果采用随机效应Meta分析进行汇总。
采用浓度-时间曲线下剂量标准化面积、剂量标准化稳态浓度或在标准化剂量和采样时间单次给药后的浓度来量化抗癫痫药物的血浆浓度。通过将药物遗传变异携带者和非携带者的平均药物血浆浓度相除来计算均值比。
分析了98项研究的数据,这些研究涉及12543名接受苯妥英、丙戊酸盐、拉莫三嗪或卡马西平治疗的成年参与者。研究主要在东亚队列(69项研究)或白种人或欧洲队列(15项研究)中进行。与参考亚组相比,苯妥英在CYP2C9中间代谢者中的血浆浓度显著升高46%(95%CI,33%-61%),在CYP2C19中间代谢者中升高20%(95%CI,17%-30%),在CYP2C19慢代谢者中升高39%(95%CI,24%-56%);丙戊酸盐在CYP2C9中间代谢者中升高12%(95%CI,4%-20%),在CYP2C19中间代谢者中升高12%(95%CI,2%-24%),在CYP2C19慢代谢者中升高20%(95%CI,2%-41%);卡马西平在CYP3A5慢代谢者中升高12%(95%CI,3%-22%)。
这项系统评价和Meta分析发现,编码低酶活性的CYP2C9和CYP2C19基因型与苯妥英血浆浓度的临床相关升高有关,几种药物遗传变异与丙戊酸盐和卡马西平血浆浓度的统计学显著但临床相关性微弱的变化有关,并且许多药物遗传变异与抗癫痫药物血浆浓度的统计学显著差异无关。