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...
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| Format: | Article |
| Language: | English |
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MDPI AG
2021-12-01
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| Series: | Journal of Personalized Medicine |
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| Online Access: | https://www.mdpi.com/2075-4426/11/12/1275 |
| _version_ | 1797503092403470336 |
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| author | Aleksander Turk Tanja Kunej Borut Peterlin |
| author_facet | Aleksander Turk Tanja Kunej Borut Peterlin |
| author_sort | Aleksander Turk |
| collection | DOAJ |
| 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: <i>BACE1</i>, <i>APP</i>, <i>NCSTN</i>, <i>SP1</i>, <i>SIRT1</i>, and <i>PTEN</i>. 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. |
| first_indexed | 2024-03-10T03:45:34Z |
| format | Article |
| id | doaj.art-151dacabf67a4d84bbfb790b6fdcb7fa |
| institution | Directory Open Access Journal |
| issn | 2075-4426 |
| language | English |
| last_indexed | 2024-03-10T03:45:34Z |
| publishDate | 2021-12-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Journal of Personalized Medicine |
| spelling | doaj.art-151dacabf67a4d84bbfb790b6fdcb7fa2023-11-23T09:07:19ZengMDPI AGJournal of Personalized Medicine2075-44262021-12-011112127510.3390/jpm11121275MicroRNA-Target Interaction Regulatory Network in Alzheimer’s DiseaseAleksander Turk0Tanja Kunej1Borut Peterlin2Department of Animal Science, Biotechnical Faculty, University of Ljubljana, 1230 Domžale, SloveniaDepartment of Animal Science, Biotechnical Faculty, University of Ljubljana, 1230 Domžale, SloveniaClinical Institute of Genomic Medicine, University Medical Centre Ljubljana, 1000 Ljubljana, SloveniaAlzheimer’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: <i>BACE1</i>, <i>APP</i>, <i>NCSTN</i>, <i>SP1</i>, <i>SIRT1</i>, and <i>PTEN</i>. 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.https://www.mdpi.com/2075-4426/11/12/1275Alzheimer’s diseaseprotein–protein interaction (PPI)biomarkermicroRNA (miRNA)miRNA–target interaction (MTI) |
| spellingShingle | Aleksander Turk Tanja Kunej Borut Peterlin MicroRNA-Target Interaction Regulatory Network in Alzheimer’s Disease Journal of Personalized Medicine Alzheimer’s disease protein–protein interaction (PPI) biomarker microRNA (miRNA) miRNA–target interaction (MTI) |
| 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 | Alzheimer’s disease protein–protein interaction (PPI) biomarker microRNA (miRNA) miRNA–target interaction (MTI) |
| url | https://www.mdpi.com/2075-4426/11/12/1275 |
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