Identifying crosstalk genetic biomarkers linking a neurodegenerative disease, Parkinson's disease, and periodontitis using integrated bioinformatics analyses.

Parkinson’s disease bioinformatics crosstalk genes neurodegenerative disease periodontitis

Journal

Frontiers in aging neuroscience
ISSN: 1663-4365
Titre abrégé: Front Aging Neurosci
Pays: Switzerland
ID NLM: 101525824

Informations de publication

Date de publication:
2022
Historique:
received: 30 08 2022
accepted: 16 11 2022
entrez: 22 12 2022
pubmed: 23 12 2022
medline: 23 12 2022
Statut: epublish

Résumé

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. 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. 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. 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.

Identifiants

pubmed: 36545026
doi: 10.3389/fnagi.2022.1032401
pmc: PMC9760933
doi:

Types de publication

Journal Article

Langues

eng

Pagination

1032401

Informations de copyright

Copyright © 2022 Hu, Li, Ning, Huang, Liu, Deng, Franceschi, Ogbuehi, Lethaus, Savkovic, Li, Gaus, Zimmerer, Ziebolz, Schmalz and Huang.

Déclaration de conflit d'intérêts

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

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Auteurs

Shaonan Hu (S)

Stomatological Hospital, Southern Medical University, Guangzhou, China.

Simin Li (S)

Stomatological Hospital, Southern Medical University, Guangzhou, China.

Wanchen Ning (W)

Stomatological Hospital, Southern Medical University, Guangzhou, China.

Xiuhong Huang (X)

Stomatological Hospital, Southern Medical University, Guangzhou, China.

Xiangqiong Liu (X)

Laboratory of Molecular Cell Biology, Beijing Tibetan Hospital, China Tibetology Research Center, Beijing, China.

Yupei Deng (Y)

Laboratory of Molecular Cell Biology, Beijing Tibetan Hospital, China Tibetology Research Center, Beijing, China.

Debora Franceschi (D)

Department of Experimental and Clinical Medicine, University of Florence, Florence, Italy.

Anthony Chukwunonso Ogbuehi (AC)

Faculty of Physics, University of Münster, Münster, Germany.

Bernd Lethaus (B)

Department of Cranio Maxillofacial Surgery, University Clinic Leipzig, Leipzig, Germany.

Vuk Savkovic (V)

Department of Cranio Maxillofacial Surgery, University Clinic Leipzig, Leipzig, Germany.

Hanluo Li (H)

Department of Cranio Maxillofacial Surgery, University Clinic Leipzig, Leipzig, Germany.

Sebastian Gaus (S)

Department of Cranio Maxillofacial Surgery, University Clinic Leipzig, Leipzig, Germany.

Rüdiger Zimmerer (R)

Department of Cranio Maxillofacial Surgery, University Clinic Leipzig, Leipzig, Germany.

Dirk Ziebolz (D)

Department of Cariology, Endodontology and Periodontology, University of Leipzig, Leipzig, Germany.

Gerhard Schmalz (G)

Department of Cariology, Endodontology and Periodontology, University of Leipzig, Leipzig, Germany.

Shaohong Huang (S)

Stomatological Hospital, Southern Medical University, Guangzhou, China.

Classifications MeSH