20.500.12556/RUL-133693 MicroRNA-target interaction regulatory network in Alzheimer’s disease 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: BACE1, APP, NCSTN, SP1, SIRT1, and PTEN. 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. Alzheimer’s disease protein–protein interaction (PPI) biomarker microRNA (miRNA) miRNA–target interaction (MTI) medicina Alzheimerjeva bolezen bioinformatika biomarkerji genetika miRNA zunajcelični vezikli true false true Angleški jezik Slovenski jezik Članek v reviji 2021-12-09 13:25:23 2021-12-09 13:25:23 2022-09-13 03:52:07 0000-00-00 00:00:00 2021 0 0 18 str. iss. 12, art. 1275 Vol. 11 2021 0000-00-00 Zaloznikova Objavljeno NiDoloceno 0000-00-00 0000-00-00 0000-00-00 616:575 2075-4426 10.3390/jpm11121275 87716611 RAZ_Turk_Aleksander_2021.pdf RAZ_Turk_Aleksander_2021.pdf 1 5EA382DC4A110FE710F81E2FDCD5CA74 b1bc435e99dcc30a2403902b0cf3ea724b121fd210a549f6aec7c221b1ff6bf7 3e29ff98-58ec-11ec-abdb-00155dcfd717 https://repozitorij.uni-lj.si/Dokument.php?lang=slv&id=151976 https://www.mdpi.com/2075-4426/11/12/1275 1 f8da6095-58ea-11ec-abdb-00155dcfd717 https://repozitorij.uni-lj.si/Dokument.php?lang=slv&id=151974 Biotehniška fakulteta 0 0 0