基于基因多态性建立肾功能不全患者华法林稳态剂量的预测模型 点击下载
论文标题: 基于基因多态性建立肾功能不全患者华法林稳态剂量的预测模型
英文标题:
中文摘要: 目的:基于CYP2C9*3(1075A>C)和VKORC1-1639G>A基因多态性,建立肾功能不全患者华法林稳态剂量的预测模型。方法:收集2016年6月-2018年6月西安交通大学第一附属医院肾脏内科服用华法林的肾功能不全患者(涉及疾病包括原发性肾小球肾炎、慢性肾盂肾炎、高血压肾小动脉硬化、糖尿病肾病、继发性肾小球肾炎、肾小管间质病变、遗传性肾脏疾病)且国际标准化比值(INR)在1.5~3.0的103例患者的临床资料,采用荧光染色原位杂交法检测CYP2C9*3(1075A>C)和VKORC1- 1639G>A基因型,分析患者基因型、性别、年龄、体质量指数(BMI)、肾小球滤过率(eGFR)与华法林稳态剂量的相关性,采用多元线性回归方法建立肾功能不全患者华法林稳态剂量的预测模型,并另选25例患者进行验证。结果:103例患者的CYP2C9*3(1075A>C)和VKORC1-1639G>A基因频率均符合Hardy-Weinberg平衡,其中CYP2C9*3(1075A>C)AA基因型患者华法林平均稳态剂量(3.20±0.88) mg/d显著高于CYP2C9*3(1075A>C)AC基因型患者华法林平均稳态剂量(2.17±0.13) mg/d(P<0.05),VKORC1-1639G>A AA基因型患者华法林平均稳态剂量(2.89±0.08) mg/d显著低于VKORC1-1639G>A GA基因型患者华法林平均稳态剂量(4.01±0.17) mg/d(P<0.05);男性患者华法林稳态剂量(3.16±0.11) mg/d高于女性患者华法林稳态剂量(3.07±0.13) mg/d(P>0.05);年龄与华法林稳态剂量呈负相关(P<0.05);eGFR与华法林稳态剂量呈正相关(P<0.05);BMI与华法林稳态剂量无明显相关性(P>0.05),肾功能不全患者华法林稳态剂量=3.057-0.73* VKORC1-1639G>A+0.08*eGFR-0.013*年龄+0.565* CYP2C9*3(1075A>C)[VKORC1-1639G>A:AA=1,GA=0,GG=0;CYP2C9*3(1075A>C):AA=1,AC=0;年龄为岁;eGFR单位为mL/(min·1.73 m2)](R2=0.502)。25例验证患者的预测模型剂量(3.12±0.56) mg/d与实际稳态剂量(3.06±0.93) mg/d差异无统计学意义(P>0.05)。结论:CYP2C9*3(1075A>C)AA和VKORC1-1639 G>A不同基因型患者的华法林稳态剂量有明显差异,成功建立肾功能不全患者华法林稳态剂量的预测模型。
英文摘要: OBJECTIVE: To establish the prediction model of steady-state dose of warfarin in patients with renal insufficiency on the basis of CYP2C9*3(1075A>C) and VKORC1-1639G>A gene polymorphism. METHODS: The clinical data of 103 patients with renal dysfunction (involving primary glomerulonephritis, chronic pyelonephritis, hypertensive renal arteriosclerosis, diabetic nephropathy, secondary glomerulonephritis, tubulointerstitial lesions, hereditary kidney diseases) who took warfarin and whose INR was stable at 1.5-3.0 were collected from nephrology department of the First Affiliated Hospital of Xi’an Jiaotong University during Jun. 2016 to Jun. 2019. The CYP2C9*3(1075A>C) and VKORC1-1639G>A genotypes were detected by fluorescence staining in-situ hybridization. The relationship of genotype, gender, age, body mass index (BMI) and glomerular filtration rate (eGFR) with steady-state dose of warfarin were analyzed. The multiple linear regression method was used to establish the prediction model for steady-state dose of warfarin in patients with renal insufficiency. Other 25 patients were involved in validation. RESULTS: The frequencies of CYP2C9*3(1075A>C) and VKORC1-1639G>A genes in 103 patients were in accordance with Hardy-Weinberg equilibrium. The average steady-state dose (3.20±0.88) mg/d of warfarin in CYP2C9*3 (1075A>C) AA genotype was significantly higher than that (2.17±0.13) mg/d in CYP2C9*3 (1075A>C) AC genotype (P<0.05); average steady-state dose (2.89±0.08) mg/d of warfarin in VKORC1-1639G>A AA genotype was significantly lower than that (4.01±0.17) mg/d in VKORC1-1639G>A GA genotype (P<0.05); steady-state dose of warfarin in male patients (3.16±0.11) mg/d was higher than that in female patients (3.07±0.13) mg/d (P>0.05). Age was negatively correlated with steady-state dose of warfarin (P<0.05); eGFR was positively correlated with steady-state dose of warfarin (P<0.05). BMI had no significant correlation with steady-state dose of warfarin (P>0.05). The prediction model for steady-state dose of warfarin included steady-state dose of warfarin=3.057-0.73* VKORC1-1639G>A+0.08*eGFR-0.013* age+0.565* CYP2C9*3(1075A>C) [VKORC1-1639G>A:AA=1,GA=0,GG=0;CYP2C9*3(1075A>C):AA=1,AC=0;the age was years old; the unit of eGFR was mL/(min·1.73 m2)] (R2=0.502). There was no statistical significance between the dose (3.12±0.56) mg/d of prediction model and actual steady-state dose (3.06±0.93) mg/d in 25 validation patients (P>0.05). CONCLUSIONS: There are significant differences in steady-state dose of warfarin among different genotype patients with CYP2C9*3(1075A>C) AA and VKORC1-1639G>A. The prediction model of warfarin steady-state dose in patients with renal insufficiency is established successfully.
期刊: 2019年第30卷第13期
作者: 刘艳丽,林蓉,冯永刚,许晓丽
英文作者: LIU Yanli,LIN Rong,FENG Yonggang,XU Xiaoli
关键字: 基因多态性;肾功能不全;华法林;稳态剂量;预测模型
KEYWORDS: Gene polymorphism; Renal insufficiency; Warfarin; Steady-state dose; Prediction model
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