Jaja Cheedy, Patel Niren, Scott Stuart A, Gibson Robert, Kutlar Abdullah
College of Nursing, University of Cincinnati, Cincinnati, Ohio, USA.
Clin Transl Sci. 2014 Oct;7(5):396-401. doi: 10.1111/cts.12172. Epub 2014 May 29.
Nonsteroidal anti-inflammatory drugs (NSAIDs) used to treat pain in patients with sickle cell disease (SCD) are metabolized by the CYP2C9 enzyme. Racial differences in CYP2C9 allele frequencies impact NSAIDs efficacy and safety. We determined the frequencies of CYP2C9 alleles in an African American pediatric SCD cohort. Genomic DNA was isolated from blood samples of 30 patients aged between 7 and 17 years. Genotyping of nine CYP2C9 alleles (*1,*2, *3, *4, *5, *6, *8, *11, and *13) was performed using restriction fragment length polymorphism-PCR assays and the Tag-It™ Mutation Detection System. The wild type 1 allele frequency was 0.850. The most common variant allele detected was CYP2C98 (0.067). The combined frequency of the *2, *5, *6, *8, and *11 variants was 0.151. Seventy percent of the study cohort were predicted extensive metabolizers (*1/*1) and 30% were intermediate metabolizers due mainly to the *1/8 genotype. Analysis of CYP2C9 using an expanded assay panel facilitated improved classification of predicted drug metabolic phenotypes in our cohort. However, the pharmacokinetic effects of the CYP2C95,*6,*8, and *11 alleles on NSAIDs metabolism has not been evaluated and underscores the need for studies on substrate-specific effects of variant alleles common in populations with genetic susceptibility to SCD.
用于治疗镰状细胞病(SCD)患者疼痛的非甾体抗炎药(NSAIDs)由CYP2C9酶代谢。CYP2C9等位基因频率的种族差异会影响NSAIDs的疗效和安全性。我们测定了非裔美国儿科SCD队列中CYP2C9等位基因的频率。从30名年龄在7至17岁之间的患者的血液样本中分离出基因组DNA。使用限制性片段长度多态性-PCR分析和Tag-It™突变检测系统对9个CYP2C9等位基因(*1、*2、*3、*4、*5、6、8、11和13)进行基因分型。野生型1等位基因频率为0.850。检测到的最常见变异等位基因为CYP2C98(0.067)。*2、*5、*6、8和11变异的合并频率为0.151。该研究队列中70%的患者被预测为广泛代谢者(*1/1),30%为中间代谢者,主要是由于1/8基因型。使用扩展检测面板对CYP2C9进行分析有助于改进我们队列中预测药物代谢表型的分类。然而,CYP2C95、*6、8和11等位基因对NSAIDs代谢的药代动力学影响尚未评估,这突出表明需要对SCD遗传易感性人群中常见的变异等位基因的底物特异性效应进行研究。