Wang Fang, Zhang Sheng-Jie, Yao Xuan, Tian Dong-Mei, Zhang Ke-Qin, She Dun-Min, Guo Fei-Fan, Zhai Qi-Wei, Ying Hao, Xue Ying
Department of Endocrinology, People's Hospital of Shanghai Putuo District, Shanghai, 200060, China.
Key Laboratory of Food Safety Research, Institute for Nutritional Sciences, Shanghai Institutes for Biological Sciences, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, 200031, China.
Endocrine. 2017 Jul;57(1):125-137. doi: 10.1007/s12020-017-1331-4. Epub 2017 May 25.
It has been increasingly suggested that specific microRNAs expression profiles in the circulation and atrial tissue are associated with the susceptibility to atrial fibrillation. Nonetheless, the role of circulating microRNAs in Graves' disease patients with atrial fibrillation has not yet been well described. The objective of the study was to identify the role of circulating microRNAs as specific biomarkers for the diagnosis of Graves' disease with atrial fibrillation.
The expression profiles of eight serum microRNAs, which are found to be critical in the pathogenesis of atrial fibrillation, were determined in patients with Graves' disease with or without atrial fibrillation. MicroRNA expression analysis was performed by real-time PCR in normal control subjects (NC; n = 17), patients with Graves' disease without atrial fibrillation (GD; n = 29), patients with Graves' disease with atrial fibrillation (GD + AF; n = 14), and euthyroid patients with atrial fibrillation (AF; n = 22).
Three of the eight serum microRNAs,i.e., miR-1a, miR-26a, and miR-133, had significantly different expression profiles among the four groups. Spearman's correlation analysis showed that the relative expression level of miR-1a was positively correlated with free triiodothyronine (FT3) and free thyroxine (FT4), and negatively related to thyroid stimulating hormone. Spearman's correlations analysis also revealed that the level of miR-1a was negatively correlated with a critical echocardiographic parameter (left atrial diameter), which was dramatically increased in GD + AF group compared to GD group. Furthermore, the receiver-operating characteristic curve analysis indicated that, among the eight microRNAs, miR-1a had the largest area under the receiver-operating characteristic curves not only for discriminating between individuals with and without Graves' disease, but also for predicting the presence of atrial fibrillation in patients with Graves' disease.
Our findings showed that the levels of serum miR-1a were significantly decreased in GD + AF group compared with GD group, suggesting that serum miR-1a might serve as a novel biomarker for diagnosis of atrial fibrillation in patients with Graves' disease.
越来越多的研究表明,循环系统和心房组织中特定的微小RNA表达谱与心房颤动的易感性相关。然而,循环微小RNA在合并心房颤动的格雷夫斯病患者中的作用尚未得到充分描述。本研究的目的是确定循环微小RNA作为诊断合并心房颤动的格雷夫斯病的特异性生物标志物的作用。
在合并或未合并心房颤动的格雷夫斯病患者中,测定了8种血清微小RNA的表达谱,这些微小RNA被发现对心房颤动的发病机制至关重要。通过实时PCR对正常对照受试者(NC;n = 17)、未合并心房颤动的格雷夫斯病患者(GD;n = 29)、合并心房颤动的格雷夫斯病患者(GD + AF;n = 14)和合并心房颤动的甲状腺功能正常患者(AF;n = 22)进行微小RNA表达分析。
8种血清微小RNA中的3种,即miR-1a、miR-26a和miR-133,在四组中的表达谱有显著差异。Spearman相关性分析表明,miR-1a的相对表达水平与游离三碘甲状腺原氨酸(FT3)和游离甲状腺素(FT4)呈正相关,与促甲状腺激素呈负相关。Spearman相关性分析还显示,miR-1a的水平与一个关键的超声心动图参数(左心房直径)呈负相关,与GD组相比,GD + AF组的左心房直径显著增加。此外,受试者工作特征曲线分析表明,在这8种微小RNA中,miR-1a在受试者工作特征曲线下的面积最大,不仅可用于区分患有和未患有格雷夫斯病的个体,还可用于预测格雷夫斯病患者心房颤动的存在。
我们的研究结果表明,与GD组相比,GD + AF组血清miR-1a水平显著降低,提示血清miR-1a可能作为诊断格雷夫斯病患者心房颤动的新型生物标志物。