Turk Aleksander, Kunej Tanja, Peterlin Borut
Department of Animal Science, Biotechnical Faculty, University of Ljubljana, 1230 Domžale, Slovenia.
Clinical Institute of Genomic Medicine, University Medical Centre Ljubljana, 1000 Ljubljana, Slovenia.
J Pers Med. 2021 Dec 2;11(12):1275. doi: 10.3390/jpm11121275.
Alzheimer's Disease (AD) is a progressive neurodegenerative disorder and the most common cause of dementia; however, early diagnosis of the disease is challenging. Research suggests that biomarkers found in blood, such as microRNAs (miRNA), may be promising for AD diagnostics. Experimental data on miRNA-target interactions (MTI) associated with AD are scattered across databases and publications, thus making the identification of promising miRNA biomarkers for AD difficult. In response to this, a list of experimentally validated AD-associated MTIs was obtained from miRTarBase. Cytoscape was used to create a visual MTI network. STRING software was used for protein-protein interaction analysis and mirPath was used for pathway enrichment analysis. Several targets regulated by multiple miRNAs were identified, including: , , , , , and . The miRNA with the highest numbers of interactions in the network were: miR-9, miR-16, miR-34a, miR-106a, miR-107, miR-125b, miR-146, and miR-181c. The analysis revealed seven subnetworks, representing disease modules which have a potential for further biomarker development. The obtained MTI network is not yet complete, and additional studies are needed for the comprehensive understanding of the AD-associated miRNA targetome.
阿尔茨海默病(AD)是一种进行性神经退行性疾病,也是痴呆最常见的病因;然而,该疾病的早期诊断具有挑战性。研究表明,血液中发现的生物标志物,如微小RNA(miRNA),可能有望用于AD的诊断。与AD相关的miRNA-靶标相互作用(MTI)的实验数据分散在数据库和出版物中,因此难以识别有前景的AD相关miRNA生物标志物。针对这一情况,从miRTarBase获得了一份经实验验证的AD相关MTI列表。利用Cytoscape创建了一个可视化的MTI网络。使用STRING软件进行蛋白质-蛋白质相互作用分析,使用mirPath进行通路富集分析。鉴定出了几个受多个miRNA调控的靶标,包括: , , , , ,和 。网络中相互作用数量最多的miRNA为:miR-9、miR-16、miR-34a、miR-106a、miR-107、miR-125b、miR-146和miR-181c。分析揭示了七个子网,代表了具有进一步开发生物标志物潜力的疾病模块。所获得的MTI网络尚未完整,需要进一步的研究来全面了解与AD相关的miRNA靶标组。