Research Laboratories, P.D. Hinduja National Hospital and Medical Research Centre, V. S. Marg, Mahim, Mumbai-400016, India.
Pharmacol Rep. 2013;65(5):1375-82. doi: 10.1016/s1734-1140(13)71496-8.
Warfarin, an oral anticoagulant is used in patients who are at increased risk of developing blood clots. The management of warfarin therapy is challenging because it shows large inter and intra individual variability in patient response due to factors like age, gender, diet, concurrent drug interactions and variations in CYP2C9 and VKORC1 genes. Studies implicate that polymorphisms in VKORC1 and CYP2C9 genes are associated with reduced doses of warfarin. The aim of our current study was to characterize the effects of VKORC1 and CYP2C9 gene variations that contribute to variability in warfarin dosing in Indian patients.
Genomic DNA was extracted from 103 patients undergoing warfarin therapy. Their mean daily warfarin dose, INR and demographics were recorded and genotyping of VKORC1 and CYP2C9 gene was performed by PCR-RFLP method.
Individuals with wild type genotypes required highest mean warfarin dosage of 4.72 mg/day while VKORC1 variants required 3.6 mg/day to maintain their therapeutic INR. CYP2C9*2 genotype was not found to affect the warfarin maintenance dosages. The odds ratio for developing supra therapeutic INR in patients carrying VKORC1 variant allele when compared to wild types was 13.96 (95% CI; 4.85 - 44.65. Other factors affecting warfarin dosages were age and weight.
Inclusion of pharmacogenetic data along with clinical parameters would help better predict warfarin doses in Indian patients.
华法林是一种口服抗凝剂,用于有发生血栓风险的患者。华法林治疗的管理具有挑战性,因为由于年龄、性别、饮食、同时存在的药物相互作用以及 CYP2C9 和 VKORC1 基因的变异等因素,患者的反应存在较大的个体内和个体间变异性。研究表明,VKORC1 和 CYP2C9 基因的多态性与华法林剂量减少有关。我们目前的研究目的是描述 VKORC1 和 CYP2C9 基因变异对印度患者华法林剂量变异性的影响。
从 103 名接受华法林治疗的患者中提取基因组 DNA。记录他们的平均每日华法林剂量、INR 和人口统计学数据,并通过 PCR-RFLP 方法进行 VKORC1 和 CYP2C9 基因的基因分型。
野生型基因型的个体需要最高的平均华法林剂量 4.72mg/天,而 VKORC1 变体需要 3.6mg/天来维持其治疗性 INR。CYP2C9*2 基因型不影响华法林维持剂量。与野生型相比,携带 VKORC1 变体等位基因的患者发生超治疗性 INR 的优势比为 13.96(95%CI;4.85-44.65)。其他影响华法林剂量的因素是年龄和体重。
将遗传药理学数据与临床参数相结合,将有助于更好地预测印度患者的华法林剂量。