Sridharan Kannan, Modi Tanvi, Bendkhale Shital, Kulkarni Devranth, Gogtay Nithya J, Thatte Urmila M
Department of Clinical Pharmacology, 1st floor, New MS Building, Seth GS Medical College & KEM Hospital, Parel, Mumbai 400012, India.
Curr Clin Pharmacol. 2016;11(1):62-8. doi: 10.2174/1574884711666160118095322.
Various factors have been shown to increase the risk of bleeding with warfarin. This study aimed to assess the association of CYP2C9 and VKORC1 with the development of bleeding following warfarin.
A case control study was initiated after obtaining institutional ethics committee clearance and written informed consent from patients. Cases were defined as those who bled within three months of warfarin initiation and controls as those who did not have any episode of bleeding within three months. Genotyping for CYP2C9 (*1, *2, *3) and VKORC1 1639 (GG, GA and AA) was performed by PCRRFLP. Chi square test was used to find out the association and trend of CYP2C9 and VKORC1 genotypes with odds ratio (95% CI) for strength of association. A binary logistic regression model was developed associating age, body weight, sex, CYP2C9 and VKORC1 status with risk of bleeding.
A total of 100 controls and 38 cases were studied from Oct 2009 to July 2011. A significant association (P < 0.0001) and trend (P = 0.027) of mutant alleles of CYP2C9 and VKORC1 were noted with bleeding with odds ratios of 7.8 [3.4, 17.9] and 2.7 [1.3, 5.7] respectively. Weekly dose requirement was significantly lower with the presence of *3 allele relative to *1 in CYP2C9 (P < 0.001). The regression model showed an accuracy of 80% and could explain 35.3% of the variability.
A significant association between CYP2C9 (*1,*2,*3) genotype and VKORC1 (1639 G>A) haplotype status has been found with increased bleeding tendency to warfarin. This may help to individualize therapy.
多种因素已被证明会增加华法林导致出血的风险。本研究旨在评估CYP2C9和VKORC1与华法林治疗后出血发生之间的关联。
在获得机构伦理委员会批准并征得患者书面知情同意后开展了一项病例对照研究。病例定义为在华法林起始治疗后三个月内发生出血的患者,对照为在三个月内未发生任何出血事件的患者。采用聚合酶链反应-限制性片段长度多态性(PCR-RFLP)方法对CYP2C9(*1、*2、*3)和VKORC1 1639(GG、GA和AA)进行基因分型。采用卡方检验来确定CYP2C9和VKORC1基因型的关联及趋势,并计算关联强度的比值比(95%置信区间)。建立了一个二元逻辑回归模型,将年龄、体重、性别、CYP2C9和VKORC1状态与出血风险相关联。
2009年10月至2011年7月共研究了100例对照和38例病例。观察到CYP2C9和VKORC1的突变等位基因与出血存在显著关联(P<0.0001)和趋势(P = 0.027),比值比分别为7.8 [3.4, 17.9]和2.7 [1.3, 5.7]。相对于CYP2C9中的*1,*3等位基因的存在使每周剂量需求显著降低(P<0.001)。回归模型显示准确率为80%,可解释35.3%的变异性。
已发现CYP2C9(*1,*2,*3)基因型和VKORC1(1639 G>A)单倍型状态与华法林出血倾向增加之间存在显著关联。这可能有助于实现个体化治疗。