Group of Translational Research in Respiratory Medicine, Hospital Universitari Arnau de Vilanova y Santa Maria, IRB Lleida, Lleida, Spain.
Centro de Investigación Biomédica en Red de Enfermedades Respiratorias (CIBERES), Madrid, Spain.
PLoS One. 2019 Mar 13;14(3):e0213622. doi: 10.1371/journal.pone.0213622. eCollection 2019.
microRNAs (miRNAs) are non-coding RNAs highly relevant as biomarkers for disease. A seminal study that explored the role of miRNAs in obstructive sleep apnea syndrome (OSA) demonstrated their usefulness in clinical management. Nevertheless, the miRNAs that may act as endogenous controls (ECs) have not yet been established. The identification of ECs would contribute to the standardization of these biomarkers in OSA. The objective of the study is to identify miRNAs that can be used as ECs in OSA. We evaluated 100 patients divided into two different cohorts: a learning cohort of 10 non-OSA and 30 OSA patients, and a validation cohort (20 non-OSA and 40 OSA patients). In the learning cohort, a profile of 188 miRNAs was determined in plasma by TaqMan Low Density Array. The best EC candidates were identified by mean center+SD normalization and concordance correlation restricted normalization. The results were validated using NormFinder and geNorm to assess the stability of those ECs. Eight miRNAs were identified as EC candidates. The combination miRNA-106a/miRNA-186 was identified as the most stable among all candidates. We identified a set of ECs to be used in the determination of circulating miRNA in OSA that may contribute to the homogeneity of results.
微小 RNA(miRNA)是一种非编码 RNA,作为疾病的生物标志物具有重要意义。一项探索 miRNA 在阻塞性睡眠呼吸暂停综合征(OSA)中的作用的重要研究表明,它们在临床管理中具有实用性。然而,作为内源性对照(EC)的 miRNA 尚未确定。EC 的鉴定将有助于 OSA 中这些生物标志物的标准化。本研究的目的是确定可作为 OSA 中 EC 的 miRNA。我们评估了 100 名患者,分为两个不同的队列:学习队列包括 10 名非 OSA 患者和 30 名 OSA 患者,验证队列(20 名非 OSA 患者和 40 名 OSA 患者)。在学习队列中,通过 TaqMan 低密度阵列确定了血浆中的 188 个 miRNA 图谱。通过均值中心+SD 归一化和一致性相关限制归一化确定最佳 EC 候选物。使用 NormFinder 和 geNorm 来评估这些 EC 的稳定性来验证结果。确定了 8 个 miRNA 作为 EC 候选物。在所有候选物中,miRNA-106a/miRNA-186 的组合被确定为最稳定的。我们确定了一组 EC,用于确定 OSA 中循环 miRNA,这可能有助于结果的一致性。