Sieweke Jan-Thorben, Pfeffer Tobias Jonathan, Biber Saskia, Chatterjee Shambhabi, Weissenborn Karin, Grosse Gerrit M, Hagemus Jan, Derda Anselm A, Berliner Dominik, Lichtinghagen Ralf, Hilfiker-Kleiner Denise, Bauersachs Johann, Bär Christian, Thum Thomas, Bavendiek Udo
Department of Cardiology and Angiology, Hannover Medical School, 30625 Hannover, Germany.
Institute of Molecular and Translational Therapeutic Strategies (S.C., A.A.D., C.B., T.T.) and Center for Translational Regenerative Medicine, Hannover Medical School (T.T., C.B.), 30625 Hannover, Germany.
J Clin Med. 2020 Apr 14;9(4):1118. doi: 10.3390/jcm9041118.
This study aimed to investigate the association of circulating biomarkers with echocardiographic parameters of atrial remodelling and their potential for predicting atrial fibrillation (AF). In patients with and without AF ( = 21 and = 60) the following serum biomarkers were determined: soluble ST2 (sST2), Galectin-3 (Gal-3), N-terminal pro-brain natriuretic peptide (NT-proBNP), microRNA (miR)-21, -29a, -133a, -146b and -328. Comprehensive transthoracic echocardiography was performed in all participants. Biomarkers were significantly altered in patients with AF. The echocardiographic parameter septal PA-TDI, indicating left atrial (LA) remodelling, correlated with concentrations of sST2 (r = 0.249, = 0.048), miR-21 (r = -0.277, = 0.012), miR-29a (r = -0.269, = 0.015), miR-146b (r = -0.319, = 0.004) and miR-328 (r = -0.296, = 0.008). In particular, NT-proBNP showed a strong correlation with echocardiographic markers of LA remodelling and dysfunction (septal PA-TDI: r = 0.444, < 0.001, LAVI/a': r = 0.457, = 0.001, SRa: r = 0.581, < 0.001). Multivariate Cox regressions analysis highlighted miR-21 and NT-proBNP as predictive markers for AF (miR-21: hazard ratio (HR) 0.16; 95% confidence interval (CI) 0.04-0.7, = 0.009; NT-proBNP: HR 1.002 95%CI 1.001-1.004, = 0.006). Combination of NT-proBNP and miR-21 had the best accuracy to discriminate patients with AF from those without AF (area under the curve (AUC)= 0.843). Our findings indicate that miR-21 and NT-proBNP correlate with echocardiographic parameters of atrial remodeling and predict AF, in particular if combined.
本研究旨在探讨循环生物标志物与心房重构超声心动图参数之间的关联及其预测心房颤动(AF)的潜力。在有AF和无AF的患者中(分别为21例和60例),测定了以下血清生物标志物:可溶性ST2(sST2)、半乳糖凝集素-3(Gal-3)、N末端脑钠肽前体(NT-proBNP)、微小RNA(miR)-21、-29a、-133a、-146b和-328。对所有参与者进行了全面的经胸超声心动图检查。AF患者的生物标志物有显著改变。提示左心房(LA)重构的超声心动图参数间隔PA-TDI与sST2浓度(r = 0.249,P = 0.048)、miR-21(r = -0.277,P = 0.012)、miR-29a(r = -0.269,P = 0.015)、miR-146b(r = -0.319,P = 0.004)和miR-328(r = -0.296,P = 0.008)相关。特别是,NT-proBNP与LA重构和功能障碍的超声心动图标志物有很强的相关性(间隔PA-TDI:r = 0.444;P < 0.001,左心房容积指数/心房心肌峰值速度比值(LAVI/a'):r = 0.457,P = 0.001,心房储备应变率(SRa):r = 0.581,P < 0.001)。多变量Cox回归分析强调miR-21和NT-proBNP是AF的预测标志物(miR-21:风险比(HR)0.16;95%置信区间(CI)0.04 - 0.7,P = 0.009;NT-proBNP:HR 1.002,95%CI 1.001 - 1.004,P = 0.006)。NT-proBNP和miR-21联合使用对区分有AF和无AF患者具有最佳准确性(曲线下面积(AUC)= 0.843)。我们的研究结果表明,miR-21和NT-proBNP与心房重构的超声心动图参数相关,并可预测AF,特别是联合使用时。