Identification of the Hub Genes in Alzheimer’s Disease

Purpose. Alzheimer’s disease (AD) is considered to be the most common neurodegenerative disease and also one of the major fatal diseases affecting the elderly, thus bringing a huge burden to society. Therefore, identifying AD-related hub genes is extremely important for developing novel strategies a...

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Main Authors: Huiwen Gui, Qi Gong, Jun Jiang, Mei Liu, Huanyin Li
Format: Article
Language:English
Published: Hindawi Limited 2021-01-01
Series:Computational and Mathematical Methods in Medicine
Online Access:http://dx.doi.org/10.1155/2021/6329041
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spelling doaj-e21f513883334e7e83a6bfe17cfdf4bd2021-07-26T00:33:47ZengHindawi LimitedComputational and Mathematical Methods in Medicine1748-67182021-01-01202110.1155/2021/6329041Identification of the Hub Genes in Alzheimer’s DiseaseHuiwen Gui0Qi Gong1Jun Jiang2Mei Liu3Huanyin Li4Department of NeurologyDepartment of NeurologyState Key Laboratory of Genetic EngineeringDepartment of General PracticeDepartment of NeurologyPurpose. Alzheimer’s disease (AD) is considered to be the most common neurodegenerative disease and also one of the major fatal diseases affecting the elderly, thus bringing a huge burden to society. Therefore, identifying AD-related hub genes is extremely important for developing novel strategies against AD. Materials and Methods. Here, we extracted the gene expression profile GSE63061 from the National Center for Biotechnology Information (NCBI) GEO database. Once the unverified gene chip was removed, we standardized the microarray data after quality control. We utilized the Limma software package to screen the differentially expressed genes (DEGs). We conducted Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analyses of DEGs. Subsequently, we constructed a protein-protein interaction (PPI) network using the STRING database. Result. We screened 2169 DEGs, comprising 1313 DEGs with upregulation and 856 DEGs with downregulation. Functional enrichment analysis showed that the response of immune, the degranulation of neutrophils, lysosome, and the differentiation of osteoclast were greatly enriched in DEGs with upregulation; peptide biosynthetic process, translation, ribosome, and oxidative phosphorylation were dramatically enriched in DEGs with downregulation. 379 nodes and 1149 PPI edges were demonstrated in the PPI network constructed by upregulated DEGs; 202 nodes and 1963 PPI edges were shown in the PPI network constructed by downregulated DEGs. Four hub genes, including GAPDH, RHOA, RPS29, and RPS27A, were identified to be the newly produced candidates involved in AD pathology. Conclusion. GAPDH, RHOA, RPS29, and RPS27A are expected to be key candidates for AD progression. The results of this study can provide comprehensive insight into understanding AD’s pathogenesis and potential new therapeutic targets.http://dx.doi.org/10.1155/2021/6329041
collection DOAJ
language English
format Article
sources DOAJ
author Huiwen Gui
Qi Gong
Jun Jiang
Mei Liu
Huanyin Li
spellingShingle Huiwen Gui
Qi Gong
Jun Jiang
Mei Liu
Huanyin Li
Identification of the Hub Genes in Alzheimer’s Disease
Computational and Mathematical Methods in Medicine
author_facet Huiwen Gui
Qi Gong
Jun Jiang
Mei Liu
Huanyin Li
author_sort Huiwen Gui
title Identification of the Hub Genes in Alzheimer’s Disease
title_short Identification of the Hub Genes in Alzheimer’s Disease
title_full Identification of the Hub Genes in Alzheimer’s Disease
title_fullStr Identification of the Hub Genes in Alzheimer’s Disease
title_full_unstemmed Identification of the Hub Genes in Alzheimer’s Disease
title_sort identification of the hub genes in alzheimer’s disease
publisher Hindawi Limited
series Computational and Mathematical Methods in Medicine
issn 1748-6718
publishDate 2021-01-01
description Purpose. Alzheimer’s disease (AD) is considered to be the most common neurodegenerative disease and also one of the major fatal diseases affecting the elderly, thus bringing a huge burden to society. Therefore, identifying AD-related hub genes is extremely important for developing novel strategies against AD. Materials and Methods. Here, we extracted the gene expression profile GSE63061 from the National Center for Biotechnology Information (NCBI) GEO database. Once the unverified gene chip was removed, we standardized the microarray data after quality control. We utilized the Limma software package to screen the differentially expressed genes (DEGs). We conducted Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analyses of DEGs. Subsequently, we constructed a protein-protein interaction (PPI) network using the STRING database. Result. We screened 2169 DEGs, comprising 1313 DEGs with upregulation and 856 DEGs with downregulation. Functional enrichment analysis showed that the response of immune, the degranulation of neutrophils, lysosome, and the differentiation of osteoclast were greatly enriched in DEGs with upregulation; peptide biosynthetic process, translation, ribosome, and oxidative phosphorylation were dramatically enriched in DEGs with downregulation. 379 nodes and 1149 PPI edges were demonstrated in the PPI network constructed by upregulated DEGs; 202 nodes and 1963 PPI edges were shown in the PPI network constructed by downregulated DEGs. Four hub genes, including GAPDH, RHOA, RPS29, and RPS27A, were identified to be the newly produced candidates involved in AD pathology. Conclusion. GAPDH, RHOA, RPS29, and RPS27A are expected to be key candidates for AD progression. The results of this study can provide comprehensive insight into understanding AD’s pathogenesis and potential new therapeutic targets.
url http://dx.doi.org/10.1155/2021/6329041
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AT qigong identificationofthehubgenesinalzheimersdisease
AT junjiang identificationofthehubgenesinalzheimersdisease
AT meiliu identificationofthehubgenesinalzheimersdisease
AT huanyinli identificationofthehubgenesinalzheimersdisease
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