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Article type: Research Article
Authors: Ou, Guan-yonga | Lin, Wen-wena | Zhao, Wei-jianga; b; *
Affiliations: [a] Center for Neuroscience, Shantou University Medical College, Shantou, Guangdong, China | [b] Cell Biology Department, Wuxi School of Medicine, Jiangnan University, Wuxi, Jiangsu, China
Correspondence: [*] Correspondence to: Wei-jiang Zhao, Center for Neuroscience, Shantou University Medical College, Shantou 515041, Guangdong, China. Tel.: +86 13794125386; E-mail: [email protected].
Abstract: Background:Alzheimer’s disease (AD) is a chronic neurodegenerative disease that seriously impairs both cognitive and memory functions mainly in the elderly, and its incidence increases with age. Recent studies demonstrated that long noncoding RNAs (lncRNAs) play important roles in AD by acting as competing endogenous RNAs (ceRNAs). Objective:In this study, we aimed to construct lncRNA-associated ceRNA regulatory networks composed of potential biomarkers in AD based on the ceRNA hypothesis. Methods:A total of 20 genes (10 upregulated genes and 10 downregulated genes) were identified as the hub differentially expressed genes (DEGs). The functional enrichment analysis showed that the most significant pathways of DEGs involved include retrograde endocannabinoid signaling, synaptic vesicle circle, and AD. The upregulated hub genes were mainly enriched in the cytokine-cytokine receptor interaction pathway, whereas downregulated hub genes were involved in the neuroactive ligand-receptor interaction pathway. After convergent functional genomic (CFG) ranks and expression level analysis in different brain regions of hub genes, we found that CXCR4, GFAP, and GNG3 were significantly correlated with AD. We further identified crucial miRNAs and lncRNAs of targeted genes to construct lncRNA-associated ceRNA regulatory networks. Results:The results showed that two lncRNAs (NEAT1, MIAT), three miRNAs (hsa-miR-551a, hsa-miR-133b and hsa-miR-206), and two mRNA (CXCR4 and GNG3), which are highly related to AD, were preliminarily identified as potential AD biomarkers. Conclusion:Our study provides new insights for understanding the pathogenic mechanism underlying AD, which may potentially contribute to the ceRNA mechanism in AD.
Keywords: Alzheimer’s disease, biomarkers, ceRNA regulatory network, differently expressed genes, lncRNA
DOI: 10.3233/JAD-210068
Journal: Journal of Alzheimer's Disease, vol. 82, no. 1, pp. 169-183, 2021
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