Favela-Mendoza A F, Martínez-Cortes G, Romero-Prado M M, Romero-Tejeda E M, Islas-Carbajal M C, Sosa-Macias M, Lares-Asseff I, Rangel-Villalobos H
Centro Universitario de la Cienega, Instituto de Investigación en Genética Molecular, Universidad De Guadalajara, Ocotlan, Mexico.
Centro Universitario de Ciencias de Salud, Instituto de Terapéutica Experimental y Clínica, Universidad De Guadalajara, Guadalajara, Mexico.
J Clin Pharm Ther. 2018 Oct;43(5):656-663. doi: 10.1111/jcpt.12699. Epub 2018 May 7.
CYP2C19 genotypes presumably allow the prediction of the metabolizer phenotypes: poor (PMs), extensive (EMs) and ultra-rapid (UMs). However, evidence from previous studies regarding this predictive power is unclear, which is important because the benefits expected by healthcare institutions and patients are based on this premise. Therefore, we aimed to complete a formal evaluation of the diagnostic value of CYP2C19 and CYP3A4 genes for predicting metabolizer phenotypes established by omeprazole (OME) administration in 118 healthy children from Jalisco (western Mexico).
The genotypes for CYP3A41B and CYP2C192, *3, *4, *5 and *17 alleles were determined. CYP2C19 and CYP3A4 phenotypes were obtained after 20 mg OME administration and HPLC quantification in plasma to estimate the Hydroxylation Index (HI = OME/HOME) and Sulfonation Index (SI = OME/SOME), respectively.
The distribution of genotypes and phenotypes for CYP2C19 and CYP3A4 was similar to previous studies in Mexico and Latin America. We estimated the CYP2C19 UM, EM and PM phenotype frequency in 0.84%, 96.61% and 2.54%, respectively. Although differences in the HI distribution were observed between CYP2C19 genotypes, they showed a poor diagnostic ability to predict the CYP2C19 metabolizer phenotype. Similarly, the number of CYP2C19 and CYP3A4 functional alleles was correlated with the HI distribution, but also their diagnostic ability to predict the CYP2C19 phenotype was poor.
The CYP2C19 phenotype is not predicted by the number of functional alleles of CYP2C19 and CYP3A4 genes. Phenotyping is still the most valuable alternative to dose individualization for CYP2C19 substrate drugs.
CYP2C19基因分型大概能够预测代谢型:慢代谢型(PMs)、快代谢型(EMs)和超快速代谢型(UMs)。然而,以往关于这种预测能力的研究证据并不明确,这一点很重要,因为医疗机构和患者所期望的益处正是基于这一前提。因此,我们旨在对CYP2C19和CYP3A4基因在预测118名来自哈利斯科州(墨西哥西部)健康儿童中由奥美拉唑(OME)给药所确定的代谢型方面的诊断价值进行正式评估。
测定CYP3A41B和CYP2C2、*3、*4、5及17等位基因的基因型。在给予20mg OME后,通过血浆HPLC定量分别估算羟化指数(HI = OME/HOME)和磺化指数(SI = OME/SOME),从而获得CYP2C19和CYP3A4的代谢型。
CYP2C19和CYP3A4的基因型和代谢型分布与墨西哥和拉丁美洲以往的研究相似。我们分别估算出CYP2C19超快速代谢型、快代谢型和慢代谢型的频率为0.84%、96.61%和2.54%。尽管在CYP2C19基因型之间观察到HI分布存在差异,但它们对预测CYP2C19代谢型的诊断能力较差。同样,CYP2C19和CYP3A4功能等位基因的数量与HI分布相关,但其对预测CYP2C19代谢型的诊断能力也较差。
CYP2C19和CYP3A4基因的功能等位基因数量无法预测CYP2C19代谢型。对于CYP2C19底物药物的剂量个体化而言,代谢型分析仍然是最有价值的选择。