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Identifying crosstalk genetic biomarkers linking a neurodegenerative disease, Parkinson’s disease, and periodontitis using integrated bioinformatics analyses
OBJECTIVE: To identify the genetic linkage mechanisms underlying Parkinson’s disease (PD) and periodontitis, and explore the role of immunology in the crosstalk between both these diseases. METHODS: The gene expression omnibus (GEO) datasets associated with whole blood tissue of PD patients and ging...
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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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9760933/ https://www.ncbi.nlm.nih.gov/pubmed/36545026 http://dx.doi.org/10.3389/fnagi.2022.1032401 |
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author | Hu, Shaonan Li, Simin Ning, Wanchen Huang, Xiuhong Liu, Xiangqiong Deng, Yupei Franceschi, Debora Ogbuehi, Anthony Chukwunonso Lethaus, Bernd Savkovic, Vuk Li, Hanluo Gaus, Sebastian Zimmerer, Rüdiger Ziebolz, Dirk Schmalz, Gerhard Huang, Shaohong |
author_facet | Hu, Shaonan Li, Simin Ning, Wanchen Huang, Xiuhong Liu, Xiangqiong Deng, Yupei Franceschi, Debora Ogbuehi, Anthony Chukwunonso Lethaus, Bernd Savkovic, Vuk Li, Hanluo Gaus, Sebastian Zimmerer, Rüdiger Ziebolz, Dirk Schmalz, Gerhard Huang, Shaohong |
author_sort | Hu, Shaonan |
collection | PubMed |
description | OBJECTIVE: To identify the genetic linkage mechanisms underlying Parkinson’s disease (PD) and periodontitis, and explore the role of immunology in the crosstalk between both these diseases. METHODS: The gene expression omnibus (GEO) datasets associated with whole blood tissue of PD patients and gingival tissue of periodontitis patients were obtained. Then, differential expression analysis was performed to identify the differentially expressed genes (DEGs) deregulated in both diseases, which were defined as crosstalk genes. Inflammatory response-related genes (IRRGs) were downloaded from the MSigDB database and used for dividing case samples of both diseases into different clusters using k-means cluster analysis. Feature selection was performed using the LASSO model. Thus, the hub crosstalk genes were identified. Next, the crosstalk IRRGs were selected and Pearson correlation coefficient analysis was applied to investigate the correlation between hub crosstalk genes and hub IRRGs. Additionally, immune infiltration analysis was performed to examine the enrichment of immune cells in both diseases. The correlation between hub crosstalk genes and highly enriched immune cells was also investigated. RESULTS: Overall, 37 crosstalk genes were found to be overlapping between the PD-associated DEGs and periodontitis-associated DEGs. Using clustering analysis, the most optimal clustering effects were obtained for periodontitis and PD when k = 2 and k = 3, respectively. Using the LASSO feature selection, five hub crosstalk genes, namely, FMNL1, MANSC1, PLAUR, RNASE6, and TCIRG1, were identified. In periodontitis, MANSC1 was negatively correlated and the other four hub crosstalk genes (FMNL1, PLAUR, RNASE6, and TCIRG1) were positively correlated with five hub IRRGs, namely, AQP9, C5AR1, CD14, CSF3R, and PLAUR. In PD, all five hub crosstalk genes were positively correlated with all five hub IRRGs. Additionally, RNASE6 was highly correlated with myeloid-derived suppressor cells (MDSCs) in periodontitis, and MANSC1 was highly correlated with plasmacytoid dendritic cells in PD. CONCLUSION: Five genes (i.e., FMNL1, MANSC1, PLAUR, RNASE6, and TCIRG1) were identified as crosstalk biomarkers linking PD and periodontitis. The significant correlation between these crosstalk genes and immune cells strongly suggests the involvement of immunology in linking both diseases. |
format | Online Article Text |
id | pubmed-9760933 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-97609332022-12-20 Identifying crosstalk genetic biomarkers linking a neurodegenerative disease, Parkinson’s disease, and periodontitis using integrated bioinformatics analyses Hu, Shaonan Li, Simin Ning, Wanchen Huang, Xiuhong Liu, Xiangqiong Deng, Yupei Franceschi, Debora Ogbuehi, Anthony Chukwunonso Lethaus, Bernd Savkovic, Vuk Li, Hanluo Gaus, Sebastian Zimmerer, Rüdiger Ziebolz, Dirk Schmalz, Gerhard Huang, Shaohong Front Aging Neurosci Aging Neuroscience OBJECTIVE: To identify the genetic linkage mechanisms underlying Parkinson’s disease (PD) and periodontitis, and explore the role of immunology in the crosstalk between both these diseases. METHODS: The gene expression omnibus (GEO) datasets associated with whole blood tissue of PD patients and gingival tissue of periodontitis patients were obtained. Then, differential expression analysis was performed to identify the differentially expressed genes (DEGs) deregulated in both diseases, which were defined as crosstalk genes. Inflammatory response-related genes (IRRGs) were downloaded from the MSigDB database and used for dividing case samples of both diseases into different clusters using k-means cluster analysis. Feature selection was performed using the LASSO model. Thus, the hub crosstalk genes were identified. Next, the crosstalk IRRGs were selected and Pearson correlation coefficient analysis was applied to investigate the correlation between hub crosstalk genes and hub IRRGs. Additionally, immune infiltration analysis was performed to examine the enrichment of immune cells in both diseases. The correlation between hub crosstalk genes and highly enriched immune cells was also investigated. RESULTS: Overall, 37 crosstalk genes were found to be overlapping between the PD-associated DEGs and periodontitis-associated DEGs. Using clustering analysis, the most optimal clustering effects were obtained for periodontitis and PD when k = 2 and k = 3, respectively. Using the LASSO feature selection, five hub crosstalk genes, namely, FMNL1, MANSC1, PLAUR, RNASE6, and TCIRG1, were identified. In periodontitis, MANSC1 was negatively correlated and the other four hub crosstalk genes (FMNL1, PLAUR, RNASE6, and TCIRG1) were positively correlated with five hub IRRGs, namely, AQP9, C5AR1, CD14, CSF3R, and PLAUR. In PD, all five hub crosstalk genes were positively correlated with all five hub IRRGs. Additionally, RNASE6 was highly correlated with myeloid-derived suppressor cells (MDSCs) in periodontitis, and MANSC1 was highly correlated with plasmacytoid dendritic cells in PD. CONCLUSION: Five genes (i.e., FMNL1, MANSC1, PLAUR, RNASE6, and TCIRG1) were identified as crosstalk biomarkers linking PD and periodontitis. The significant correlation between these crosstalk genes and immune cells strongly suggests the involvement of immunology in linking both diseases. Frontiers Media S.A. 2022-12-05 /pmc/articles/PMC9760933/ /pubmed/36545026 http://dx.doi.org/10.3389/fnagi.2022.1032401 Text en Copyright © 2022 Hu, Li, Ning, Huang, Liu, Deng, Franceschi, Ogbuehi, Lethaus, Savkovic, Li, Gaus, Zimmerer, Ziebolz, Schmalz and Huang. 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 Hu, Shaonan Li, Simin Ning, Wanchen Huang, Xiuhong Liu, Xiangqiong Deng, Yupei Franceschi, Debora Ogbuehi, Anthony Chukwunonso Lethaus, Bernd Savkovic, Vuk Li, Hanluo Gaus, Sebastian Zimmerer, Rüdiger Ziebolz, Dirk Schmalz, Gerhard Huang, Shaohong Identifying crosstalk genetic biomarkers linking a neurodegenerative disease, Parkinson’s disease, and periodontitis using integrated bioinformatics analyses |
title | Identifying crosstalk genetic biomarkers linking a neurodegenerative disease, Parkinson’s disease, and periodontitis using integrated bioinformatics analyses |
title_full | Identifying crosstalk genetic biomarkers linking a neurodegenerative disease, Parkinson’s disease, and periodontitis using integrated bioinformatics analyses |
title_fullStr | Identifying crosstalk genetic biomarkers linking a neurodegenerative disease, Parkinson’s disease, and periodontitis using integrated bioinformatics analyses |
title_full_unstemmed | Identifying crosstalk genetic biomarkers linking a neurodegenerative disease, Parkinson’s disease, and periodontitis using integrated bioinformatics analyses |
title_short | Identifying crosstalk genetic biomarkers linking a neurodegenerative disease, Parkinson’s disease, and periodontitis using integrated bioinformatics analyses |
title_sort | identifying crosstalk genetic biomarkers linking a neurodegenerative disease, parkinson’s disease, and periodontitis using integrated bioinformatics analyses |
topic | Aging Neuroscience |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9760933/ https://www.ncbi.nlm.nih.gov/pubmed/36545026 http://dx.doi.org/10.3389/fnagi.2022.1032401 |
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