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MicroRNA-Target Interaction Regulatory Network in Alzheimer’s Disease

Authors :
Aleksander Turk
Borut Peterlin
Tanja Kunej
Source :
Journal of Personalized Medicine, Vol 11, Iss 1275, p 1275 (2021), Journal of personalized medicine, vol. 11, no. 12, 1275, 2021., Journal of Personalized Medicine; Volume 11; Issue 12; Pages: 1275, Journal of Personalized Medicine
Publication Year :
2021
Publisher :
MDPI AG, 2021.

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.

Details

Language :
English
ISSN :
20754426
Volume :
11
Issue :
1275
Database :
OpenAIRE
Journal :
Journal of Personalized Medicine
Accession number :
edsair.doi.dedup.....db5634236657d3b7a04531325ae943ea