Šatrauskienė Agnė, Navickas Rokas, Laucevičius Aleksandras, Krilavičius Tomas, Užupytė Rūta, Zdanytė Monika, Ryliškytė Ligita, Jucevičienė Agnė, Holvoet Paul
Clinic of Cardiac and Vascular Diseases, Institute of Clinical Medicine, Faculty of Medicine, Vilnius University, 08661 Vilnius, Lithuania.
Centre of Cardiology and Angiology, Vilnius University Hospital, Santaros Klinikos, 08410 Vilnius, Lithuania.
Int J Environ Res Public Health. 2021 Feb 4;18(4):1483. doi: 10.3390/ijerph18041483.
Previously, miR-1, miR-122, miR-126, miR-132, miR-133, and miR-370 were found to be related to coronary artery disease (CAD) progression. However, their relationship with subclinical atherosclerosis, especially in subjects with metabolic syndrome, is unknown. Therefore, our aim was to determine their relationship with arterial markers of subclinical atherosclerosis. Metabolic syndrome subjects (n = 182) with high cardiovascular risk but without overt cardiovascular disease (CVD) were recruited from the Lithuanian High Cardiovascular Risk (LitHiR) primary prevention program. The ardio-ankle vascular index (CAVI), augmentation index normalized to a heart rate of 75 bpm (AIxHR75), aortic pulse wave velocity (AoPWV), and carotid artery stiffness were assessed. MicroRNAs (miRs) were analyzed in serum. Pearson correlation and a univariate linear regression -test showed that miR-1, miR-133b, and miR-133a were negatively associated with CAVI mean, whereas miR-122 was positively associated. MiR-1, miR-133b and miR-133a, and miR-145 were negatively associated with AIxHR75. MiR-122 correlated negatively with AoPWV. In multivariate linear regression models, miR-133b and miR-122 predicted CAVImean, miR-133 predicted AIxHR75, and miR-122 predicted AoPWV. MiR-132 predicted right carotid artery stiffness, and miR-1 predicted left carotid artery stiffness. The addition of smoking to miR-133b and miR-122 enhanced the prediction of CAVI. Age and triglycerides enhanced the prediction of AoPWV by miR-122. A cluster of four miRs are related to subclinical atherosclerosis in subjects with metabolic syndrome. Combined, they may have a more substantial diagnostic or prognostic value than any single miR. Future follow-up studies are needed to establish their clinical relevance.
此前发现，miR-1、miR-122、miR-126、miR-132、miR-133和miR-370与冠状动脉疾病（CAD）进展相关。然而，它们与亚临床动脉粥样硬化的关系尚不清楚，尤其是在代谢综合征患者中。因此，我们的目的是确定它们与亚临床动脉粥样硬化的动脉标志物之间的关系。从立陶宛高心血管风险（LitHiR）一级预防项目中招募了182名心血管风险高但无明显心血管疾病（CVD）的代谢综合征患者。评估了心踝血管指数（CAVI）、心率校正为75次/分时的增强指数（AIxHR75）、主动脉脉搏波速度（AoPWV）和颈动脉僵硬度。对血清中的微小RNA（miRs）进行了分析。Pearson相关性分析和单变量线性回归检验表明，miR-1、miR-133b和miR-133a与CAVI平均值呈负相关，而miR-122呈正相关。miR-1、miR-133b和miR-133a以及miR-145与AIxHR75呈负相关。miR-122与AoPWV呈负相关。在多变量线性回归模型中，miR-133b和miR-122可预测CAVI平均值，miR-133可预测AIxHR75，miR-122可预测AoPWV。miR-132可预测右侧颈动脉僵硬度，miR-1可预测左侧颈动脉僵硬度。将吸烟因素加入miR-133b和miR-122可增强对CAVI的预测。年龄和甘油三酯可增强miR-122对AoPWV的预测。一组四个miRs与代谢综合征患者的亚临床动脉粥样硬化相关。综合来看，它们可能比任何单个miR具有更大的诊断或预后价值。需要进一步的随访研究来确定它们的临床相关性。
