Literature DB >> 32006383

Identification of Key Regulatory Genes and Pathways in Prefrontal Cortex of Alzheimer's Disease.

Fuzhang Yang1, Xin Diao1, Fushuai Wang2, Quanwei Wang2, Jiamin Sun1, Yan Zhou3, Jiang Xie4.   

Abstract

Alzheimer's disease (AD) is a neurodegenerative disorder partly induced by dysregulation of different brain regions. Prefrontal cortex (PFC) dysregulation has been reported to associate with mental symptoms such as delusion, apathy, and depression in AD patients. However, the internal mechanisms have not yet been well-understood. This study aims to identify the potential therapeutic target genes and related pathways in PFC of AD. First, differential expression analyses were performed on transcriptome microarray of PFC between AD specimens and non-AD controls. Second, protein-protein interaction networks were constructed based on the identified differentially expressed genes to explore candidate therapeutic target genes. Finally, these candidate genes were validated through biological experiments. The enrichment analyses showed that the differentially expressed genes were significantly enriched in protein functions and pathways related to AD. Furthermore, the top ten hub genes in the protein-protein interaction network (ELAVL1, CUL3, MAPK6, FBXW11, YWHAE, YWHAZ, GRB2, CLTC, YWHAQ, and PDHA1) were proved to be directly or indirectly related to AD. Besides, six genes (PDHA1, CLTC, YWHAE, MAPK6, YWHAZ, and GRB2) of which were validated to significantly altered in AD mice by biological experiments. Importantly, the most significantly changed gene, PDHA1, was proposed for the first time that may be serve as a target gene in AD treatment. In summary, several genes and pathways that play critical roles in PFC of AD patients have been uncovered, which will provide novel insights on molecular targets for treatment and diagnostic biomarkers of AD.

Entities:  

Keywords:  Alzheimer’s disease; Differentially expressed genes; Enrichment analysis; Prefrontal cortex; Protein network analysis

Mesh:

Year:  2020        PMID: 32006383     DOI: 10.1007/s12539-019-00353-8

Source DB:  PubMed          Journal:  Interdiscip Sci        ISSN: 1867-1462            Impact factor:   2.233


  8 in total

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  8 in total

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