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Bioinformatics analysis of gene expression profile and functional analysis in periodontitis and Parkinson’s disease
Periodontitis is a chronic inflammatory disease inextricably linked to both the innate and acquired immune systems of the body. Parkinson’s disease (PD) is a neurodegenerative disease caused by immune system dysfunction. Although recent studies suggest that a clinical relationship exists between PD...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Frontiers Media S.A.
2022
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9685299/ https://www.ncbi.nlm.nih.gov/pubmed/36437997 http://dx.doi.org/10.3389/fnagi.2022.1029637 |
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author | Wang, Xiaofeng Shi, Naixu Wu, Baiao Yuan, Lin Chen, Jiapeng Ye, Cong Hao, Miao |
author_facet | Wang, Xiaofeng Shi, Naixu Wu, Baiao Yuan, Lin Chen, Jiapeng Ye, Cong Hao, Miao |
author_sort | Wang, Xiaofeng |
collection | PubMed |
description | Periodontitis is a chronic inflammatory disease inextricably linked to both the innate and acquired immune systems of the body. Parkinson’s disease (PD) is a neurodegenerative disease caused by immune system dysfunction. Although recent studies suggest that a clinical relationship exists between PD and periodontitis, the pathogenesis of this relationship is unclear. Therefore, in the present study, we obtained datasets of periodontitis and PD from the Gene Expression Omnibus (GEO) database and extracted 785 differentially expressed genes (DEGs), including 15 common upregulated genes and four common downregulated genes. We performed enrichment analyses of these DEGs using Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes analyses. We found that the genes were mainly enriched in keratinocyte differentiation, neuronal cell bodies, and structural constituents of epidermis terms, and pathways such as immune response and synaptic pathways. In addition, we screened matching hub genes by constructing a protein–protein interaction (PPI) network map and a Molecular Complex Detection (MCODE) map using the Cytoscape software. The hub genes were then subjected to GO enrichment analysis, which revealed that the dopamine biosynthetic process, dopaminergic synapse and dopamine-binding terms, and dopaminergic synapse and serotonergic synapse pathways were primarily where they were expressed. Finally, we selected four of these genes for validation in the periodontitis and PD datasets, and we confirmed that these hub genes were highly sensitive and specific for diagnosing and monitoring PD and periodontitis. In conclusion, the above experimental results indicate that periodontitis is a high-risk factor for PD, and the association between these two conditions is mainly manifested in immune and dopamine-related pathways. Hub genes, such as the CDSN, TH, DDC, and SLC6A3 genes, may serve as potential biomarkers for diagnosing or detecting PD. |
format | Online Article Text |
id | pubmed-9685299 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-96852992022-11-25 Bioinformatics analysis of gene expression profile and functional analysis in periodontitis and Parkinson’s disease Wang, Xiaofeng Shi, Naixu Wu, Baiao Yuan, Lin Chen, Jiapeng Ye, Cong Hao, Miao Front Aging Neurosci Aging Neuroscience Periodontitis is a chronic inflammatory disease inextricably linked to both the innate and acquired immune systems of the body. Parkinson’s disease (PD) is a neurodegenerative disease caused by immune system dysfunction. Although recent studies suggest that a clinical relationship exists between PD and periodontitis, the pathogenesis of this relationship is unclear. Therefore, in the present study, we obtained datasets of periodontitis and PD from the Gene Expression Omnibus (GEO) database and extracted 785 differentially expressed genes (DEGs), including 15 common upregulated genes and four common downregulated genes. We performed enrichment analyses of these DEGs using Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes analyses. We found that the genes were mainly enriched in keratinocyte differentiation, neuronal cell bodies, and structural constituents of epidermis terms, and pathways such as immune response and synaptic pathways. In addition, we screened matching hub genes by constructing a protein–protein interaction (PPI) network map and a Molecular Complex Detection (MCODE) map using the Cytoscape software. The hub genes were then subjected to GO enrichment analysis, which revealed that the dopamine biosynthetic process, dopaminergic synapse and dopamine-binding terms, and dopaminergic synapse and serotonergic synapse pathways were primarily where they were expressed. Finally, we selected four of these genes for validation in the periodontitis and PD datasets, and we confirmed that these hub genes were highly sensitive and specific for diagnosing and monitoring PD and periodontitis. In conclusion, the above experimental results indicate that periodontitis is a high-risk factor for PD, and the association between these two conditions is mainly manifested in immune and dopamine-related pathways. Hub genes, such as the CDSN, TH, DDC, and SLC6A3 genes, may serve as potential biomarkers for diagnosing or detecting PD. Frontiers Media S.A. 2022-11-10 /pmc/articles/PMC9685299/ /pubmed/36437997 http://dx.doi.org/10.3389/fnagi.2022.1029637 Text en Copyright © 2022 Wang, Shi, Wu, Yuan, Chen, Ye and Hao. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Aging Neuroscience Wang, Xiaofeng Shi, Naixu Wu, Baiao Yuan, Lin Chen, Jiapeng Ye, Cong Hao, Miao Bioinformatics analysis of gene expression profile and functional analysis in periodontitis and Parkinson’s disease |
title | Bioinformatics analysis of gene expression profile and functional analysis in periodontitis and Parkinson’s disease |
title_full | Bioinformatics analysis of gene expression profile and functional analysis in periodontitis and Parkinson’s disease |
title_fullStr | Bioinformatics analysis of gene expression profile and functional analysis in periodontitis and Parkinson’s disease |
title_full_unstemmed | Bioinformatics analysis of gene expression profile and functional analysis in periodontitis and Parkinson’s disease |
title_short | Bioinformatics analysis of gene expression profile and functional analysis in periodontitis and Parkinson’s disease |
title_sort | bioinformatics analysis of gene expression profile and functional analysis in periodontitis and parkinson’s disease |
topic | Aging Neuroscience |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9685299/ https://www.ncbi.nlm.nih.gov/pubmed/36437997 http://dx.doi.org/10.3389/fnagi.2022.1029637 |
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