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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 m...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8708198/ https://www.ncbi.nlm.nih.gov/pubmed/34945753 http://dx.doi.org/10.3390/jpm11121275 |
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author | Turk, Aleksander Kunej, Tanja Peterlin, Borut |
author_facet | Turk, Aleksander Kunej, Tanja Peterlin, Borut |
author_sort | Turk, Aleksander |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-8708198 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-87081982021-12-25 MicroRNA-Target Interaction Regulatory Network in Alzheimer’s Disease Turk, Aleksander Kunej, Tanja Peterlin, Borut J Pers Med Article 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. MDPI 2021-12-02 /pmc/articles/PMC8708198/ /pubmed/34945753 http://dx.doi.org/10.3390/jpm11121275 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Turk, Aleksander Kunej, Tanja Peterlin, Borut MicroRNA-Target Interaction Regulatory Network in Alzheimer’s Disease |
title | MicroRNA-Target Interaction Regulatory Network in Alzheimer’s Disease |
title_full | MicroRNA-Target Interaction Regulatory Network in Alzheimer’s Disease |
title_fullStr | MicroRNA-Target Interaction Regulatory Network in Alzheimer’s Disease |
title_full_unstemmed | MicroRNA-Target Interaction Regulatory Network in Alzheimer’s Disease |
title_short | MicroRNA-Target Interaction Regulatory Network in Alzheimer’s Disease |
title_sort | microrna-target interaction regulatory network in alzheimer’s disease |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8708198/ https://www.ncbi.nlm.nih.gov/pubmed/34945753 http://dx.doi.org/10.3390/jpm11121275 |
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