文章摘要
郭伟崇,马金霞,姚方方.血清微小 RNA-33、微小 RNA-122水平与冠心病病人 Gensini积分的相关性分析[J].安徽医药,2021,25(3):564-567.
血清微小 RNA-33、微小 RNA-122水平与冠心病病人 Gensini积分的相关性分析
Analysis of the correlations between levels of serum miR-33, miR-122 and Gensini scores in patients with coronary heart disease
  
DOI:10.3969/j.issn.1009-6469.2021.03.032
中文关键词: 冠心病  微 RNAs  甘油三酯类  脂蛋白类, LDL  miR-33  miR-122  Gensini积分  相关性
英文关键词: Coronarydisease  MicroRNAs  Triglycerides  Lipoproteins,LDL  MiR-33  MiR-122  Gensiniscore  Correlation
基金项目:
作者单位
郭伟崇 南阳市第一人民医院心血管内二科河南南阳 473000 
马金霞 南阳市第一人民医院心血管内二科河南南阳 473000 
姚方方 南阳市眼科医院特检室河南南阳 473000 
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中文摘要:
      目的探究血清微小 RNA(miR)-33、miR-122水平与冠心病病人 Gensini积分的相关性。方法以随机抽签法选取 2014年 1月至 2015年 12月在南阳市第一人民医院行冠脉造影术的 200例冠心病病人为冠心病组,并根据病变涉及冠脉支数将其分成单支、 2支、 3支病变组, Gensini评分计算冠脉病变严重程度;另外对照组 120例。采用实时荧光定量逆转录聚合酶链反应( qRT-PCR)检测冠心病组和对照组血清中 miR-33和 miR-122表达水平,采用 Pearson分析法分析血清 miR-33和 miR-122水平与 Gensini积分的相关性,采用 logistic多重回归分析冠心病发生的危险因素。结果与对照组相比,冠心病组病人在年龄、性别、腰臀比、血清肌酐异常和冠心病家族史方面无差异( P>0.05),冠心病组病人吸烟情况、高血压病史、糖尿病病史比例均显著高于对照组( P<0.05)血清三酰甘油、低密度脂蛋白胆固醇(LDL)水平、血清中 miR-33、miR-122水平显著上调( P<0.05);冠心病组中, 2支组、 miR-33水平分别为(0.48±0.07)、(0.62±0.13)miR-122水平分别为( 5.19±0.32)、(5.63±0.24), Gensini积分分别为( 22.49±7.03)分、(65.57±15.32)分,均较单支组( 0.37±0.044.89±0.56)、(9.43±3.68)分显著升高( P< 3支组,)、(0.001),且均随病变支数增加而增加,两两比较差异有统计学意义(P<0.001); Pearson结果显示, miR-33、miR-122水平与冠心病病人 Gensini积分均呈正相关( r = 0.706、0.458,P<0.05); logistic回归结果显示,血清 LDL含量、 miR-33、miR-122水平及年龄是冠心病的独立危险因素( OR=1.862,95%CI:1.359~2.57;OR=4.157,95%CI:2.597~6.654;OR=4.196,95%CI:2.362~7.453,OR=1.824,95%CI:1.213~2.454)。结论血清 miR-33、miR-122水平是评价冠心病的独立危险因素, miR-33、miR-122水平均随着 Gensini积分增加而增加,可能与冠心病严重程度有关。
英文摘要:
      Objective To explore the correlations between levels of serum miR-33, miR-122 and Gensini score in patients with coro? nary heart disease.Methods A total of 200 patients with coronary heart disease who underwent coronary angiography in the First Peo?ple′s Hospital of Nanyang City from January 2014 to December 2015 were selected as coronary artery disease group, and divided intosingle, two and three lesion groups according to the number of coronary artery branches involved. Gensini score was used to calculatethe severity of coronary artery lesions; at the same times, the other 120 patients were selected as the control group. The expression lev?els of miR-33 and miR-122 in serum of CHD group and control group were detected by qRT-PCR. Pearson analysis was used to analyze the correlations between levels of serum miR-33 and miR-122 and Gensini scores. Logistic multiple regression analysis was used to an? alyze the risk factors of coronary heart disease.Results Compared with the control group, there were no significant differences in age, sex, waist-hip ratio, serum creatinine abnormality and family history of coronary heart disease in the CHD group (P > 0.05). The propor?tions of smoking, hypertension history, diabetes history were significantly higher in the CHD group than those in control group (P < 0.05), and the levels of serum TG, LDL, miR-33 and miR-122 in patients with coronary heart disease were significantly increased (P < 0.05). In CHD group, the levels of miR-33 in the 2 and 3 groups were (0.48±0.07) and (0.62±0.13), respectively, the levels of miR-122 were (5.19±0.32) and (5.63±0.24), and the Gensini points were (22.49±7.03) points and (65.57±15.32) points, which are significantlyhigher than those in the single-branch group (0.37±0.04), (4.89±0.56), (9.43±3.68) points (P<0.001), and increased with the increase of the number of lesion branches. There was a significant difference between the two groups (P < 0.001). Pearson results showed that the levels of miR-33 and miR-122 were positively correlated with Gensini scores in patients with coronary heart disease (r = 0.706, r = 0.458, P < 0.05). Logistic regression analysis showed that serum LDL content, miR-33 and miR-122 levels and age were independent risk factors for coronary heart disease (OR = 1.862, 95%CI: 1.359-2.57; OR = 4.157, 95%CI: 2.597-6.654; OR = 4.196, 95%CI: 2.3627.453, OR = 1.824, 95%CI:1.213-2.454).Conclusion Levels of serum miR-33 and miR-122 are independent risk factors for evaluat? ing coronary heart disease, the levels of miR-33 and miR-122 increase with the increase of Gensini score, which may be related to the severity of coronary heart disease.
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