Department of Pharmacotherapy and Translational Research, Center for Pharmacogenomics, College of Pharmacy, University of Florida, Gainesville, FL, USA; Department of Clinical Pharmacy, Faculty of Pharmacy, Ain Shams University, Cairo, Egypt.
Department of Pharmacotherapy and Translational Research, Center for Pharmacogenomics, College of Pharmacy, University of Florida, Gainesville, FL, USA.
Eur J Pharm Sci. 2019 Apr 1;131:93-98. doi: 10.1016/j.ejps.2019.02.013. Epub 2019 Feb 10.
β-blockers show variable efficacy as antihypertensives. Herein, we evaluated plasma miRNAs as biomarkers for defining antihypertensive response to β-blockers. Expression of 22 β-blocker pharmacodynamics-related miRNAs was assessed in baseline plasma samples from 30 responders and 30 non-responders to metoprolol from the PEAR-2 study (Discovery). Logistic regression was performed to identify miRNAs significantly associated with metoprolol response. Those miRNAs were profiled in baseline plasma samples from 25 responders and 25 non-responders to atenolol from the PEAR study (validation). In discovery, miR-101, miR-27a, miR-22, miR-19a, and let-7e were significantly associated with metoprolol response (P = 0.01, 0.017, 0.025, 0.025, and 0.04, respectively). In validation, miR-19a was significantly associated with atenolol response (P = 0.038). Meta-analysis between PEAR-2 and PEAR revealed significant association between miR-19a (P = 0.004), miR-101 (P = 0.006), and let-7e (P = 0.012) and β-blocker response. Hence, miR-19a, miR-101, and let-7e, which regulate β1-adrenergic receptor and other β-blocker pharmacodynamics-related genes, may be biomarkers for antihypertensive response to β-blockers.
β 受体阻滞剂作为降压药的疗效存在差异。在此,我们评估了血浆 microRNA(miRNA)作为预测β受体阻滞剂降压反应的生物标志物。在 PEAR-2 研究(发现阶段)中,我们评估了基线时接受美托洛尔治疗的 30 名有反应者和 30 名无反应者的血浆中 22 个与β受体阻滞剂药效学相关的 miRNA 的表达。采用逻辑回归分析确定与美托洛尔反应显著相关的 miRNA。在 PEAR 研究(验证阶段)中,我们分析了基线时接受阿替洛尔治疗的 25 名有反应者和 25 名无反应者的血浆样本中的这些 miRNA。在发现阶段,miR-101、miR-27a、miR-22、miR-19a 和 let-7e 与美托洛尔反应显著相关(P=0.01、0.017、0.025、0.025 和 0.04)。在验证阶段,miR-19a 与阿替洛尔反应显著相关(P=0.038)。PEAR-2 和 PEAR 的荟萃分析显示 miR-19a(P=0.004)、miR-101(P=0.006)和 let-7e(P=0.012)与β受体阻滞剂反应之间存在显著相关性。因此,调节β1 肾上腺素能受体和其他β受体阻滞剂药效学相关基因的 miR-19a、miR-101 和 let-7e 可能是预测β受体阻滞剂降压反应的生物标志物。