دورية أكاديمية

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

التفاصيل البيبلوغرافية
العنوان: Identifying crosstalk genetic biomarkers linking a neurodegenerative disease, Parkinson’s disease, and periodontitis using integrated bioinformatics analyses
المؤلفون: Shaonan Hu, Simin Li, Wanchen Ning, Xiuhong Huang, Xiangqiong Liu, Yupei Deng, Debora Franceschi, Anthony Chukwunonso Ogbuehi, Bernd Lethaus, Vuk Savkovic, Hanluo Li, Sebastian Gaus, Rüdiger Zimmerer, Dirk Ziebolz, Gerhard Schmalz, Shaohong Huang
المصدر: Frontiers in Aging Neuroscience, Vol 14 (2022)
بيانات النشر: Frontiers Media S.A., 2022.
سنة النشر: 2022
المجموعة: LCC:Neurosciences. Biological psychiatry. Neuropsychiatry
مصطلحات موضوعية: neurodegenerative disease, Parkinson’s disease, periodontitis, crosstalk genes, bioinformatics, Neurosciences. Biological psychiatry. Neuropsychiatry, RC321-571
الوصف: ObjectiveTo 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.MethodsThe 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.ResultsOverall, 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.ConclusionFive 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.
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: English
تدمد: 1663-4365
Relation: https://www.frontiersin.org/articles/10.3389/fnagi.2022.1032401/full; https://doaj.org/toc/1663-4365
DOI: 10.3389/fnagi.2022.1032401
URL الوصول: https://doaj.org/article/62cd587956394435ba11892a8ee61236
رقم الأكسشن: edsdoj.62cd587956394435ba11892a8ee61236
قاعدة البيانات: Directory of Open Access Journals
الوصف
تدمد:16634365
DOI:10.3389/fnagi.2022.1032401