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中国北方机械心脏瓣膜置换患者华法林维持剂量相关的临床和遗传因素

Clinical and genetic factors associated with warfarin maintenance dose in northern Chinese patients with mechanical heart valve replacement.

作者信息

Liu Rui, Cao Jian, Zhang Qian, Shi Xin-Miao, Pan Xiao-Dong, Dong Ran

机构信息

aDepartment of Cardiac Surgery, Beijing Institute of Heart, Lung and Blood Vessel Disease, The Key Laboratory of Remodeling-related Cardiovascular Diseases, Beijing Anzhen Hospital, Capital Medical University, Beijing bDepartment of Pediatrics, Peking University First Hospital, Beijing cDepartment of Epidemiology, Beijing Institute of Heart, Lung and Blood Vessel Disease dExperimental Center, Beijing Institute of Heart, Lung and Blood Vessel Disease, The Key Laboratory of Remodeling-related Cardiovascular Diseases, Beijing Anzhen Hospital, Capital Medical University, Beijing, China.

出版信息

Medicine (Baltimore). 2017 Jan;96(2):e5658. doi: 10.1097/MD.0000000000005658.

Abstract

The effects of genetic variants on warfarin dosing vary among different ethnic groups, especially in the Chinese population. The objective of this study was to recruit patients through a rigorous experimental design and to perform a comprehensive screen to identify gene polymorphisms that may influence warfarin dosing in northern Han Chinese patients with mechanical heart valve replacement. Consenting patients (n = 183) with a stable warfarin dose were included in this study. Ninety-six single nucleotide polymorphisms (SNPs) in 30 genes involved in warfarin pharmacological pathways were genotyped using the Illumina SNP GoldenGate Assay, and their associations with warfarin dosing were assessed using univariate regression analysis with post hoc comparison using least significant difference analysis. Multiple linear regression was performed by incorporating patients' clinical and genetic data to create a new algorithm for warfarin dosing. From the 96 SNPs analyzed, VKORC1 rs9923231, CYP1A2 rs2069514, CYP3A4 rs28371759, and APOE rs7412 were associated with higher average warfarin maintenance doses, whereas CYP2C9 rs1057910, EPHX1 rs2260863, and CYP4F2 rs2189784 were associated with lower warfarin doses (P < 0.05). Multiple linear regression analysis could estimate 44.4% of warfarin dose variability consisting of, in decreasing order, VKORC1 rs9923231 (14.2%), CYP2C9*3 (9.6%), body surface area (6.7%), CYP1A2 rs2069514 (3.7%), age (2.7%), CYP3A4 rs28371759 (2.5%), CYP4F2 rs2108622 (1.9%), APOE rs7412 (1.7%), and VKORC1 rs2884737 (1.4%). In the dosing algorithm we developed, we confirmed the strongest effects of VKORC1, CYP2C9 on warfarin dosing. In the limited sample set, we also found that novel genetic predictors (CYP1A2, CYP3A4, APOE, EPHX1, CYP4F2, and VKORC1 rs2884737) may be associated with warfarin dosing. Further validation is needed to assess our results in larger independent northern Chinese samples.

摘要

基因变异对华法林剂量的影响在不同种族群体中有所不同,尤其是在中国人群中。本研究的目的是通过严格的实验设计招募患者,并进行全面筛查,以确定可能影响中国北方汉族机械心脏瓣膜置换患者华法林剂量的基因多态性。本研究纳入了华法林剂量稳定的同意参与研究的患者(n = 183)。使用Illumina SNP GoldenGate检测法对参与华法林药理途径的30个基因中的96个单核苷酸多态性(SNP)进行基因分型,并使用单变量回归分析及事后比较(采用最小显著差异分析)评估它们与华法林剂量的关联。通过纳入患者的临床和基因数据进行多元线性回归,以创建一种新的华法林剂量算法。在所分析的96个SNP中,VKORC1 rs9923231、CYP1A2 rs2069514、CYP3A4 rs28371759和APOE rs7412与较高的平均华法林维持剂量相关,而CYP2C9 rs1057910、EPHX1 rs2260863和CYP4F2 rs2189784与较低的华法林剂量相关(P < 0.05)。多元线性回归分析可以估计华法林剂量变异性的44.4%,按影响程度降序排列依次为:VKORC1 rs9923231(14.2%)、CYP2C9*3(9.6%)、体表面积(6.7%)、CYP1A2 rs2069514(3.7%)、年龄(2.7%)、CYP3A4 rs28371759(2.5%)、CYP4F2 rs2108622(1.9%)、APOE rs7412(1.7%)和VKORC1 rs2884737(1.4%)。在我们开发的剂量算法中,我们证实了VKORC1、CYP2C9对华法林剂量的影响最为显著。在有限的样本集中,我们还发现新的基因预测因子(CYP1A2、CYP3A4、APOE、EPHX1、CYP4F2和VKORC1 rs2884737)可能与华法林剂量相关。需要进一步验证以在更大的独立中国北方样本中评估我们的结果。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a3e5/5266160/90d9f07dce1d/medi-96-e5658-g001.jpg

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