Unitat Trastorns Cognitius, Clinical Neuroscience Research, Hospital Universitari de Santa Maria, IRBLleida, Lleida, Spain.
Translational Research in Respiratory Medicine, Hospital Universitari Arnau de Vilanova-Santa Maria, IRBLleida, Lleida, Spain.
Alzheimers Res Ther. 2020 Dec 5;12(1):163. doi: 10.1186/s13195-020-00735-x.
MicroRNAs (miRNAs) are noncoding RNAs that are highly relevant as disease biomarkers. Several studies that explored the role of miRNAs in Alzheimer's disease (AD) demonstrated their usefulness in clinical identification. Nevertheless, 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 AD. The objective of the study was to identify miRNAs that can be used as ECs in AD.
We evaluated 145 patients divided into two different cohorts. One was a discovery cohort of 19 women diagnosed with mild to moderate AD (Mini-Mental State Examination (MMSE) score ≥ 20) and with confirmed pathologic levels of Aβ42 in CSF. The stability assessment cohort consisted of 126 individuals: 24 subjects without AD or any kind of dementia and negative for all core CSF biomarkers of AD, 25 subjects with MCI and negative for CSF biomarkers (MCI -), 22 subjects with MCI and positive for CSF biomarkers (MCI +), and 55 subjects with AD and positive for CSF biomarkers. In the discovery cohort, a profile of 384 miRNAs was determined in the plasma by TaqMan low-density array. The best EC candidates were identified by mean-centering and concordance correlation restricted normalization methods. The stability of the EC candidates was assessed using the GeNorm, BestKeeper, and NormFinder algorithms.
Nine miRNAs (hsa-miR-324-5p, hsa-miR-22-5p, hsa-miR-103a-2-5p, hsa-miR-362-5p, hsa-miR-425-3p, hsa-miR-423-5p, hsa-let-7i-3p, hsa-miR-532-5p, and hsa-miR-1301-3p) were identified as EC candidates in the discovery cohort. The validation results indicated that hsa-miR-103a-2-5p was the best EC, followed by hsa-miR-22-5p, hsa-miR-1301-3p, and hsa-miR-425-3p, which had similar stability values in all three algorithms.
We identified a profile of four miRNAs as potential plasma ECs to be used for normalization of miRNA expression data in studies of subjects with cognitive impairment.
MicroRNAs (miRNAs) 是一类非编码 RNA,作为疾病生物标志物具有重要意义。多项探索 miRNA 在阿尔茨海默病 (AD) 中作用的研究表明,miRNA 有助于临床诊断。然而,尚未确定可作为内参 (ECs) 的 miRNA。确定 ECs 将有助于 AD 中这些生物标志物的标准化。本研究旨在确定可作为 AD 内参的 miRNA。
我们评估了 145 名患者,分为两个不同队列。一个是发现队列,共 19 名女性,诊断为轻度至中度 AD(Mini-Mental State Examination (MMSE) 评分≥20),脑脊液中 Aβ42 水平证实升高。稳定性评估队列由 126 名个体组成:24 名无 AD 或任何类型痴呆且所有 AD 核心脑脊液生物标志物均为阴性的个体、25 名 MCI 且脑脊液生物标志物阴性(MCI-)的个体、22 名 MCI 且脑脊液生物标志物阳性(MCI+)的个体、55 名 AD 且脑脊液生物标志物阳性的个体。在发现队列中,通过 TaqMan 低通量阵列测定血浆中 384 个 miRNA 的表达谱。通过均数中心化和一致性相关限制归一化方法确定最佳 EC 候选物。使用 GeNorm、BestKeeper 和 NormFinder 算法评估 EC 候选物的稳定性。
在发现队列中,有 9 个 miRNA(hsa-miR-324-5p、hsa-miR-22-5p、hsa-miR-103a-2-5p、hsa-miR-362-5p、hsa-miR-425-3p、hsa-miR-423-5p、hsa-let-7i-3p、hsa-miR-532-5p 和 hsa-miR-1301-3p)被确定为 EC 候选物。验证结果表明,hsa-miR-103a-2-5p 是最佳 EC,其次是 hsa-miR-22-5p、hsa-miR-1301-3p 和 hsa-miR-425-3p,这三个算法的稳定性值相似。
我们确定了一组 4 个 miRNA 作为潜在的血浆内参,可用于校正认知障碍患者 miRNA 表达数据。