de Lourdes Signorini-Souza Isadora, Tureck Luciane Viater, Batistela Meire Silva, Coutinho de Almeida Rodrigo, Monteiro de Almeida Sergio, Furtado-Alle Lupe, Lehtonen Rodrigues Souza Ricardo
Postgraduate Program in Genetics. Department of Genetics, Federal University of Paraná (UFPR), Centro Politécnico, Jardim das Américas, 81531-990 Curitiba, Paraná State, Brazil.
Department of Biomedical Data Sciences, Section Molecular Epidemiology, Leiden University Medical Center, LUMC, Leiden, the Netherlands.
Brain Res. 2024 Oct 15;1841:149090. doi: 10.1016/j.brainres.2024.149090. Epub 2024 Jun 14.
The nervous system is rich in miRNAs, indicating an important role of these molecules in regulating processes associated with cognition, memory, and others. Therefore, qualitative and quantitative imbalances involving such miRNAs may be involved in dementia contexts, including Late-Onset Alzheimer's Disease (LOAD). To test the viability of circulating miRNAs (c-miRNAs) as biomarkers for LOAD, we proceed accordingly to the following reasoning. The first stage was to discover and identify profile of c-miRNAs by RNA sequencing (RNA-Seq). For this purpose, blood serum samples were used from LOAD patients (n = 5) and cognitively healthy elderly control group (CTRL_CH) (n = 5), all over 70 years old. We identified seven c-miRNAs differentially expressed (p ≤ 0.05) in the serum of LOAD patients compared to CTRL_CH (miR-10a-5p; miR-29b-2-5p; miR-125a-5p; miR-342-3p, miR-708-5p, miR-380-5p and miR-340-3p). Of these, five (p ≤ 0.01) were selected for in silico analysis (miR-10a-5p; miR-29b-2-5p; miR-125a-5p; miR-342-3p, miR-708-5p), for which 44 relevant target genes were found regulated by these c-miRNAs and related to LOAD. Through the analysis of these target genes in databases, it was possible to observe that they have functions related to the development and progress of LOAD, directly or indirectly connecting the different Alzheimer's pathways. Thus, this work found five promising serum c-miRNAs as options for biomarkers contributing to LOAD diagnosis. Our study shows the complex network between these molecules and LOAD, supporting the relevance of studies using c-miRNAs in dementia contexts.
神经系统富含微小RNA(miRNA),这表明这些分子在调节与认知、记忆及其他方面相关的过程中发挥着重要作用。因此,涉及此类miRNA的定性和定量失衡可能与痴呆症相关,包括晚发性阿尔茨海默病(LOAD)。为了测试循环miRNA(c-miRNA)作为LOAD生物标志物的可行性,我们进行了如下推理。第一阶段是通过RNA测序(RNA-Seq)发现并鉴定c-miRNA的特征。为此,使用了来自LOAD患者(n = 5)和认知健康的老年对照组(CTRL_CH)(n = 5)的血清样本,所有受试者年龄均超过70岁。与CTRL_CH相比,我们在LOAD患者血清中鉴定出7种差异表达的c-miRNA(p≤0.05)(miR-10a-5p;miR-29b-2-5p;miR-125a-5p;miR-342-3p、miR-708-5p、miR-380-5p和miR-340-3p)。其中,5种(p≤0.01)被选用于计算机分析(miR-10a-5p;miR-29b-2-5p;miR-125a-5p;miR-342-3p、miR-708-5p),通过这些c-miRNA发现有44个相关靶基因被调控且与LOAD相关。通过在数据库中对这些靶基因的分析,可以观察到它们具有与LOAD的发生和发展相关的功能,直接或间接地连接了不同的阿尔茨海默病通路。因此,这项研究发现了5种有前景的血清c-miRNA作为有助于LOAD诊断的生物标志物选项。我们的研究显示了这些分子与LOAD之间的复杂网络,支持了在痴呆症背景下使用c-miRNA进行研究的相关性。