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作 者:Mengsi Wu Kechi Fang Weixiao Wang Wei Lin Liyuan Guo Jing Wang
机构地区:[1]CAS Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences, Beijing 100101, China [2]Department of Psychology, University of Chinese Academy of Sciences, Beijing 10049, China
出 处:《Biophysics Reports》2019年第2期98-109,共12页生物物理学报(英文版)
摘 要:In this study, combined analysis of expression profiling in the hippocampus of 76 patients with Alzheimer's disease (AD) and 40 healthy controls was performed. The effects of covariates (including age, gender, postmortem interval, and batch effect) were controlled, and differentially expressed genes (DEGs) were identified using a linear mixed-effects model. To explore the biological processes, functional pathway enrichment and protein-protein interaction (PPI) network analyses were performed on the DEGs. The extended genes w让h PPI to the DEGs were obtained. Finally, the DEGs and the extended genes were ranked using the convergent functional genomics method. Eighty DEGs with q < 0.1, in eluding 67 downregulated and 13 upregulated genes, were identified. In the pathway enrichment analysis, the 80 DEGs were significantly enriched in one Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway, GABAergic synapses, and 22 Gene Ontology terms. These genes were mainly involved in neuron, synaptic signaling and transmission, and vesicle metabolism. These processes are all linked to the pathological features of AD, dem on strating that the GABAergic system, neurons, and synaptic function might be affected in AD. In the PPI network, 180 extended genes were obtained, and the hub gene occupied in the most central position was CDC42. After prioritizing the candidate genes, 12 genes, including five DEGs (ITGB5, RPH3A, GNAS, THY1, and SEPT6) and seven extended genes (JUN, GDl1, GN Al2, NEK6, UBE2D3, CDC42EP4, and ERCC3), were found highly relevant to the progression of AD and recog nized as promising biomarkers for its early diag no sis.
关 键 词:Alzheimer's disease Combined analysis HIPPOCAMPUS Gene expression DIFFERENTIALLY EXPRESSED genes MICROARRAY
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