Ing Lorenzini Kuntheavy, Desmeules Jules, Rollason Victoria, Bertin Stéphane, Besson Marie, Daali Youssef, Samer Caroline F
Division of Clinical Pharmacology and Toxicology, Department of Anaesthesiology, Pharmacology, Intensive Care and Emergency Medicine, University Hospitals of Geneva, Geneva, Switzerland.
Front Pharmacol. 2021 Aug 26;12:730637. doi: 10.3389/fphar.2021.730637. eCollection 2021.
Pharmacokinetic variability is a major source of differences in drug response and can be due to genetic variants and/or drug-drug interactions. Cytochromes P450 are among the most studied enzymes from a pharmacokinetic point of view. Their activity can be measured by phenotyping, and/or predicted by genotyping. Depending on the presence of drugs and/or diseases that can affect their activity, both approaches can be complementary. In 2014, the Geneva cocktail using dried blood spots was validated in healthy volunteers for CYP450 phenotyping. Since its clinical implementation, it has been used in approximately 500 patients in various clinical situations. Our study aims to report the concordance between CYP450 genotype and phenotype in real-life patients. The prospectively collected data from patients who were genotyped and/or phenotyped between January 2014 and December 2020 were reviewed. A total of 537 patients were genotyped and/or phenotyped for CYP450 during this period, and 241 underwent simultaneous genotyping and phenotyping allowing for genotype/phenotype concordance assessment. Genotyping correctly predicted poor metabolizer phenotypes for most CYPs isoenzymes studied, whereas agreement was more variable for intermediate, normal, and ultrarapid metabolizers. Discrepancies between the phenotype predicted on the basis of genotyping and the measured phenotype were not always explained by concurrent medication (phenotypic switch). Therefore genotyping and phenotyping tests are complementary approaches when aiming to individualize drug therapy. In the 537 patients, the majority of clinical situations were observed with analgesic/anesthetic drugs ( = 187), followed by antidepressants ( = 153), antineoplastics ( = 97), and immunosuppressants ( = 93). Inefficacy (or low drug levels) and adverse drug reaction (or high drug levels) were the main reasons for testing. Genotype and/or phenotype results explained or at least contributed to the clinical event in 44% of cases.
药代动力学变异性是药物反应差异的主要来源,可能归因于基因变异和/或药物相互作用。从药代动力学角度来看,细胞色素P450是研究最多的酶之一。其活性可以通过表型分析来测量,和/或通过基因分型来预测。根据是否存在可影响其活性的药物和/或疾病,这两种方法可以相互补充。2014年,使用干血斑的日内瓦鸡尾酒法在健康志愿者中得到验证,用于CYP450表型分析。自临床应用以来,它已在各种临床情况下的约500名患者中使用。我们的研究旨在报告现实生活中患者CYP450基因型和表型之间的一致性。回顾了2014年1月至2020年12月期间对患者进行基因分型和/或表型分析时前瞻性收集的数据。在此期间,共有537名患者进行了CYP450基因分型和/或表型分析,其中241名患者同时进行了基因分型和表型分析,以便进行基因型/表型一致性评估。基因分型正确预测了大多数研究的CYP同工酶的代谢不良表型,而对于中间代谢型、正常代谢型和超快代谢型,一致性则更具变化性。基于基因分型预测的表型与测量的表型之间的差异并不总是由同时用药(表型转换)来解释。因此,当旨在实现药物治疗个体化时,基因分型和表型分析测试是互补的方法。在这537名患者中,大多数临床情况涉及镇痛/麻醉药物(=187),其次是抗抑郁药(=153)﹑抗肿瘤药(=97)和免疫抑制剂(=93)。无效(或药物水平低)和药物不良反应(或药物水平高)是进行检测的主要原因。基因型和/或表型结果在44%的病例中解释了或至少促成了临床事件。