Article ; Online: Identification of microRNA-mRNA Regulatory Networks with Therapeutic Values in Alzheimer's Disease by Bioinformatics Analysis.
Journal of Alzheimer's disease : JAD
2024 Volume 98, Issue 2, Page(s) 671–689
Abstract: Background: Alzheimer's disease (AD) is the most prevalent neurological disorder worldwide, affecting approximately 24 million individuals. Despite more than a century of research on AD, its pathophysiology is still not fully understood.: Objective: ... ...
Abstract | Background: Alzheimer's disease (AD) is the most prevalent neurological disorder worldwide, affecting approximately 24 million individuals. Despite more than a century of research on AD, its pathophysiology is still not fully understood. Objective: Recently, genetic studies of AD have focused on analyzing the general expression profile by employing high-throughput genomic techniques such as microarrays. Current research has leveraged bioinformatics advancements in genetic science to build upon previous efforts. Methods: Data from the GSE118553 dataset used in this investigation, and the analyses carried out using programs such as Limma and BioBase. Differentially expressed genes (DEGs) and differentially expressed microRNAs (DEmiRs) associated with AD identified in the studied areas of the brain. Target genes of the DEmiRs identified using the MultiMiR package. Gene ontology (GO) completed using the Enrichr website, and the protein-protein interaction (PPI) network for these genes drawn using STRING and Cytoscape software. Results: The findings introduced DEGs including CTNNB1, PAK2, MAP2K1, PNPLA6, IGF1R, FOXL2, DKK3, LAMA4, PABPN1, and GDPD5, and DEmiRs linked to AD (miR-106A, miR-1826, miR-1253, miR-10B, miR-18B, miR-101-2, miR-761, miR-199A1, miR-379 and miR-668), (miR-720, miR-218-2, miR-25, miR-602, miR-1226, miR-548K, miR-H1, miR-410, miR-548F2, miR-181A2), (miR-1470, miR-651, miR-544, miR-1826, miR-195, miR-610, miR-599, miR-323, miR-587 and miR-340), and (miR-1282, miR-1914, miR-642, miR-1323, miR-373, miR-323, miR-1322, miR-612, miR-606 and miR-758) in cerebellum, frontal cortex, temporal cortex, and entorhinal cortex, respectively. Conclusions: The majority of the genes and miRNAs identified by our findings may be employed as biomarkers for prediction, diagnosis, or therapy response monitoring. |
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MeSH term(s) | Humans ; MicroRNAs/genetics ; MicroRNAs/metabolism ; Gene Regulatory Networks/genetics ; Alzheimer Disease/genetics ; Alzheimer Disease/therapy ; RNA, Messenger/genetics ; Gene Expression Profiling/methods ; Computational Biology/methods ; Poly(A)-Binding Protein I/genetics |
Chemical Substances | MicroRNAs ; RNA, Messenger ; PABPN1 protein, human ; Poly(A)-Binding Protein I ; MIRN1322 microRNA, human ; MIRN1323 microRNA, human ; MIRN1826 microRNA, human ; MIRN218 microRNA, human ; MIRN340 microRNA, human ; MIRN410 microRNA, human ; MIRN587 microRNA, human ; MIRN599 microRNA, human ; MIRN602 microRNA, human ; MIRN610 microRNA, human ; MIRN758 microRNA, human ; microRNA761 microRNA, human |
Language | English |
Publishing date | 2024-03-01 |
Publishing country | Netherlands |
Document type | Journal Article |
ZDB-ID | 1440127-7 |
ISSN | 1875-8908 ; 1387-2877 |
ISSN (online) | 1875-8908 |
ISSN | 1387-2877 |
DOI | 10.3233/JAD-230966 |
Database | MEDical Literature Analysis and Retrieval System OnLINE |
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