2019
DOI: 10.1186/s41065-019-0101-0
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Abstract: Background Alzheimer’s disease (AD) is known to be caused by multiple factors, meanwhile the pathogenic mechanism and development of AD associate closely with genetic factors. Existing understanding of the molecular mechanisms underlying AD remains incomplete. Methods Gene expression data (GSE48350) derived from post-modern brain was extracted from the Gene Expression Omnibus (GEO) database. The differentially expressed genes (DEGs) were derived from hippocampus and ent… Show more

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Cited by 26 publications
(12 citation statements)
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“…Combining the brain-specific protein interaction group with the gene network demonstrated that there were extensive changes in the expression levels of different complex gene clusters in AD, among which overall expression was downregulated for gene associated with synaptic transmission, metabolism, cell cycle, survival, and immune response (16). Three new candidate genes screened by differential gene expression, gene ontology (GO) enrichment analysis, pathway analysis, and PPI analysis, were identified as potential candidates for AD pathology (17). These studies laid the foundation for understanding the potential pathogenesis and potential new treatment targets of MCI and AD.…”
Section: Introductionmentioning
confidence: 99%
“…Combining the brain-specific protein interaction group with the gene network demonstrated that there were extensive changes in the expression levels of different complex gene clusters in AD, among which overall expression was downregulated for gene associated with synaptic transmission, metabolism, cell cycle, survival, and immune response (16). Three new candidate genes screened by differential gene expression, gene ontology (GO) enrichment analysis, pathway analysis, and PPI analysis, were identified as potential candidates for AD pathology (17). These studies laid the foundation for understanding the potential pathogenesis and potential new treatment targets of MCI and AD.…”
Section: Introductionmentioning
confidence: 99%
“…Several approaches have been used in previous research to identify potential target genes, such as ZFHX3, ERBB2, ERBB4, OCT3, MIF, CDK13, and GPI [27][28][29][30][31][32][33]. The most recent gene expression analysis conducted by Yan et al [34] identified the following hub genes: CDC42, VEGFA, BDNF, PDYN, CALB, TH, CACNA1A, OXT, CD44, and TAC1. The genes identified by Wu et al [35] were ITGB5, RPH3A, GNAS, and THY1.…”
Section: Resultsmentioning
confidence: 99%
“…Thus, we can reasonably argue that pathological methylation alterations in HIPPO may affect AD pathogenesis, thereby validating our prediction. Similarly, SDK1 , ANK1 , and CHRNB4 , which are targeted by cg04680535 , cg05066959 , and cg17179314 , respectively, also have either a certain gene expression level regulated by a specific methylation status ( De Jager et al, 2014 ; Kanno et al, 2014 ; Yan et al, 2019 ) or an epigenomic change during AD pathogenesis ( Li et al, 2010 ; De Jager et al, 2014 ).…”
Section: Discussionmentioning
confidence: 99%