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作 者:刘红[1] 刘立伟[1] 韩璐璐[1] 王莉[1] 庞会敏[1] 段兵[1] 高小晶[1] 黄一玲[1] 李一石[1]
机构地区:[1]中国医学科学院北京协和医学院阜外心血管病医院卫生部心血管药物临床研究重点实验室,北京100037
出 处:《中国新药杂志》2014年第1期72-75,共4页Chinese Journal of New Drugs
基 金:国家"重大新药创制"科技重大专项(2012ZX09303008-001);国家临床重点专科建设项目<卫生部重点实验室项目>
摘 要:目的:探讨脂滴包被蛋白(perilipin,PLIN)基因多态性与原发性高血压患者美托洛尔治疗后甘油三酯升高的相关性。方法:入选患者97例,服用美托洛尔缓释片100 mg·d-1,持续8周;服药前后分别测量血糖、甘油三酯(TG)、总胆固醇(TC)、高密度脂蛋白胆固醇(HDL-C)、低密度脂蛋白胆固醇(LDL-C)水平;直接测序法分析PLIN rs2304796 C>T多态性;使用SPSS 15.0统计软件进行数据分析。结果:服用美托洛尔后,患者血浆TG较服药前升高[(2.05±2.42)vs(2.38±2.71)mmol·L-1,P=0.016)]。血糖、TC、HDL-C、LDL-C服药前后无明显变化。PLIN rs2304796 C>T多态性与美托洛尔服药后TG升高相关,其中,CC型携带者升高(0.23±1.02)mmol·L-1,CT型升高(0.26±1.07)mmol·L-1,TT型升高(1.40±3.21)mmol·L-1,P=0.047。结论:perilipin蛋白rs2304796 C>T多态性与美托洛尔服用后TG的升高相关,TT基因型携带者TG水平升高明显。Objective :To investigate the correlation of the polymorphism of perilipin (PLIN) and change of TG induced by metoprolol monotherapy in Chinese patients with essential hypertension. Methods:Ninety-seven pa- tients with essential hypertension received metoprolol (100 mg d-X) for 8 weeks. Before and after the treatment, venous blood samples were collected from each individual. Biochemical indexes were measured to assess the influ- ence of metoprolol during treatment, such as blood glucose, triglyceride (TG), total cholesterol (TC), high densi- ty lipoprotein-cholesterol (HDL-C) and low density lipoprotein-cholesterol (LDL-C). The single nucleotide poly- morphism of PLIN rs2304796 C 〉 T was determined by gene sequencing. Results:After metoprolol administration, the levels of TG were increased significantly [ (2.05 -+ 2.42) vs (2.38 ± 2.71 ) mmol- L-1 , p = 0. 016 ] , while there was no difference in the levels of glucose, TC, HDL-C and LDL-C. PLIN rs2304796 C 〉 T was associated with TG change. Patients with TT genotype had the greatest increase in TG than those with CT or CC genotype [ ( 1.40 + 3.21 ) , (0.26 ± 1.07 ) and (0.23 ± 1.02 ) mmol. L- 1 , p ~ 0. 047 ]. Conclusion : PLIN rs2304796C 〉 T polymorphism is associated with TG level increase induced by metoprolol in Chinese hypertensive patients.
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