Bosó Virginia, Herrero María J, Buso Enrique, Galán Juan, Almenar Luis, Sánchez-Lázaro Ignacio, Sánchez-Plumed Jaime, Bea Sergio, Prieto Martín, García María, Pastor Amparo, Sole Amparo, Poveda José Luis, Aliño Salvador F
*Unidad de Farmacogenética, Servicio Farmacia, Hospital Universitari i Politècnic La Fe; †Instituto Investigación Sanitaria La Fe; ‡Unidad Central de Investigación, Universidad de Valencia; §Coordinación de Trasplantes, Hospital Universitari i Politècnic La Fe; ¶Servicio de Cardiología, Hospital Universitari i Politècnic La Fe; ‖Servicio de Nefrología, Hospital Universitari i Politècnic La Fe; **CIBER on Liver and Digestive Diseases (CIBERehd), funded by the Instituto de Salud Carlos III, Madrid; de Medicina Digestiva, Hospital Universitari i Politècnic La Fe; ††Unidad de Trasplante Pulmonar, Hospital Universitari i Politècnic La Fe; ‡‡Unidad de Farmacología Clínica, Hospital Universitari i Politècnic La Fe; and §§Departamento de Farmacología, Facultad de Medicina, Universidad de Valencia, Valencia, Spain.
Ther Drug Monit. 2014 Apr;36(2):159-68. doi: 10.1097/FTD.0b013e3182a94e65.
Interpatient variability in drug response can be widely explained by genetically determined differences in metabolizing enzymes, drug transporters, and drug targets, leading to different pharmacokinetic and/or pharmacodynamic behaviors of drugs. Genetic variations affect or do not affect drug responses depending on their influence on protein activity and the relevance of such proteins in the pathway of the drug. Also, the frequency of such genetic variations differs among populations, so the clinical relevance of a specific variation is not the same in all of them. In this study, a panel of 33 single nucleotide polymorphisms in 14 different genes (ABCB1, ABCC2, ABCG2, CYP2B6, CYP2C19, CYP2C9, CYP3A4, CYP3A5, MTHFR, NOD2/CARD15, SLCO1A2, SLCO1B1, TPMT, and UGT1A9), encoding for the most relevant metabolizing enzymes and drug transporters relating to immunosuppressant agents, was analyzed to determine the genotype profile and allele frequencies in comparison with HapMap data. A total of 570 Spanish white recipients and donors of solid organ transplants were included. In 24 single nucleotide polymorphisms, statistically significant differences in allele frequency were observed. The largest differences (>100%) occurred in ABCB1 rs2229109, ABCG2 rs2231137, CYP3A5 rs776746, NOD2/CARD15 rs2066844, TPMT rs1800462, and UGT1A9 rs72551330. In conclusion, differences were recorded between the Spanish and other white populations in terms of allele frequency and genotypic distribution. Such differences may have implications in relation to dose requirements and drug-induced toxicity. These data are important for further research to help explain interindividual pharmacokinetic and pharmacodynamic variability in response to drug therapy.
患者间药物反应的变异性可广泛归因于代谢酶、药物转运体和药物靶点的基因决定差异,从而导致药物不同的药代动力学和/或药效学行为。基因变异对药物反应的影响取决于其对蛋白质活性的影响以及此类蛋白质在药物作用途径中的相关性。此外,此类基因变异的频率在不同人群中有所不同,因此特定变异的临床相关性在所有人群中并不相同。在本研究中,分析了14个不同基因(ABCB1、ABCC2、ABCG2、CYP2B6、CYP2C19、CYP2C9、CYP3A4、CYP3A5、MTHFR、NOD2/CARD15、SLCO1A2、SLCO1B1、TPMT和UGT1A9)中的33个单核苷酸多态性,这些基因编码与免疫抑制剂相关的最主要代谢酶和药物转运体,以确定其基因型谱和等位基因频率,并与HapMap数据进行比较。共纳入了570名西班牙白种实体器官移植受者和供者。在24个单核苷酸多态性中,观察到等位基因频率存在统计学显著差异。最大差异(>100%)出现在ABCB1 rs2229109、ABCG2 rs2231137、CYP3A5 rs776746、NOD2/CARD15 rs2066844、TPMT rs1800462和UGT1A9 rs72551330。总之,在等位基因频率和基因型分布方面,西班牙白种人群与其他白种人群存在差异。此类差异可能对剂量需求和药物诱导毒性产生影响。这些数据对于进一步研究以帮助解释药物治疗反应中的个体间药代动力学和药效学变异性具有重要意义。