Aleksander Turk (Author), Tanja Kunej (Author), Borut Peterlin (Author)

Abstract

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.

Keywords

medicina;Alzheimerjeva bolezen;bioinformatika;biomarkerji;genetika;miRNA;zunajcelični vezikli;

Data

Language: English
Year of publishing:
Typology: 1.01 - Original Scientific Article
Organization: UL BF - Biotechnical Faculty
UDC: 616:575
COBISS: 87716611 Link will open in a new window
ISSN: 2075-4426
Views: 233
Downloads: 83
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Metadata: JSON JSON-RDF JSON-LD TURTLE N-TRIPLES XML RDFA MICRODATA DC-XML DC-RDF RDF

Other data

Secondary language: Slovenian
Secondary keywords: medicina;Alzheimerjeva bolezen;bioinformatika;biomarkerji;genetika;miRNA;zunajcelični vezikli;
Type (COBISS): Article
Pages: str. 1-18
Volume: ǂVol. ǂ11
Issue: ǂno. ǂ12
Chronology: 2021
DOI: 10.3390/jpm11121275
ID: 14075160