The Circulating MicroRNA-206 Level Predicts the Severity of Pulmonary Hypertension in Patients with Left Heart Diseases.

CELLULAR PHYSIOLOGY AND BIOCHEMISTRY(2017)

引用 33|浏览5
暂无评分
摘要
Background: MicroRNA-206 (miR-206), a muscle-specific miRNA, regulates the growth of cardiac myocytes and pulmonary artery smooth muscle cells. However, it remains unknown whether miR-206 is involved in pulmonary hypertension (PH) due to left heart diseases (PHLHD). This study was designed to investigate the correlation between miR-206 and PH in patients with LHD. Methods: In 82 consecutively enrolled LHD patients, we examined the serum levels of miR-206 and analyzed its correlations with pulmonary artery systolic pressure (PASP) and cardiac function. Another 36 age-and sex-matched subjects served as healthy controls. Results: The patients were divided into the LHD group (n=47, PASP<50 mmHg) and the PHLHD group (n=35, PASP >= 50 mmHg). The level of miR-206 was significantly decreased in the PH-LHD group compared with that of the LHD and healthy control groups. In addition, the miR206 level was correlated with PASP (r=-0.305, p<0.001) but not with systemic blood pressure. Univariate analyses showed that miR-206, brain natriuretic peptide (BNP), left ventricular ejection fraction and left atrial longitudinal diameter (LAD) were significantly related to PASP. Multivariate regression analysis identified miR-206 as an independent predictive factor for PH. MiR-206 alone (cut-off <0.66) demonstrated a sensitivity of 68.60% and a specificity of 65.80% in predicting PH. Moreover, the combination of miR-206, BNP and LAD (cut-off 0.21) showed a sensitivity of 97.10% and a specificity of 80.30% in predicting PH in LHD patients. Conclusion: A decreased circulating miR-206 level was associated with increased PASP in LHD patients. Thus, the level of miR-206, especially combined with BNP and LAD, might be helpful in the detection of PH in LHD patients. (C) 2017 The Author(s) Published by S. Karger AG, Basel
更多
查看译文
关键词
Heart failure,Pulmonary hypertension,Left heart diseases,Biomarker, microRNA
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要