combining literature screening and database mining approaches
David Vogrinc (Author), Katja Goričar (Author), Tanja Kunej (Author), Vita Dolžan (Author)

Abstract

miRNAs play an important role in neurodegenerative diseases. Many miRNA-target gene interactions (MTI) have been experimentally confirmed and associated with Alzheimer’s disease (AD). miRNAs may also be contained within extracellular vesicles (EVs), mediators of cellular communication and a potential source of circulating biomarkers in body fluids. Therefore, EV-associated miRNAs (EV-miRNAs) in peripheral blood could support earlier and less invasive AD diagnostics. We aimed to prioritize EV-related miRNA with AD-related genes and to identify the most promising candidates for novel AD biomarkers. A list of unique EV-miRNAs from the literature was combined with a known set of AD risk genes and enriched for MTI. Additionally, miRNAs associated with the AD phenotype were combined with all known target genes in MTI enrichment. Expression in different sample types was analyzed to identify AD-associated miRNAs with the greatest potential as AD circulating biomarkers. Four common MTI were observed between EV-miRNAs and AD-associated miRNAs: hsa-miR-375–APH1B, hsa-miR-107–CDC42SE2, hsa-miR-375–CELF2, and hsa-miR-107–IL6. An additional 61 out of 169 unique miRNAs (36.1%) and seven out of 84 unique MTI (8.3%), observed in the body fluids of AD patients, were proposed as very strong AD-circulating biomarker candidates. Our analysis summarized several potential novel AD biomarkers, but further studies are needed to evaluate their potential in clinical practice.

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: 77794051 Link will open in a new window
ISSN: 2075-4426
Views: 103
Downloads: 36
Average score: 0 (0 votes)
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. 1-14
Volume: ǂVol. ǂ11
Issue: ǂno. ǂ10
Chronology: 2021
DOI: 10.3390/jpm11100946
ID: 15129371
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